library(tidyverse)
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library(dplyr)

Overview

This document contains instructions on the course project for STA 141A Winter 2025. This document is made with R markdown. The rmd file to generate this document is available on the course website.

Background

In this project, we analyze a subset of data collected by Steinmetz et al. (2019). While this document provides the basic understanding of the experiments, it is highly recommended that one consults the original publication for a more comprehensive understanding in order to improve the quality of the analysis report.

In the study conducted by Steinmetz et al. (2019), experiments were performed on a total of 10 mice over 39 sessions. Each session comprised several hundred trials, during which visual stimuli were randomly presented to the mouse on two screens positioned on both sides of it. The stimuli varied in terms of contrast levels, which took values in {0, 0.25, 0.5, 1}, with 0 indicating the absence of a stimulus. The mice were required to make decisions based on the visual stimuli, using a wheel controlled by their forepaws. A reward or penalty (i.e., feedback) was subsequently administered based on the outcome of their decisions. In particular,

The activity of the neurons in the mice’s visual cortex was recorded during the trials and made available in the form of spike trains, which are collections of timestamps corresponding to neuron firing. In this project, we focus specifically on the spike trains of neurons from the onset of the stimuli to 0.4 seconds post-onset. In addition, we only use 18 sessions (Sessions 1 to 18) from four mice: Cori, Frossman, Hence, and Lederberg.

Data structure


A total of 18 RDS files are provided that contain the records from 18 sessions. In each RDS file, you can find the name of mouse from mouse_name and date of the experiment from date_exp.

Five variables are available for each trial, namely

Take the 11th trial in Session 5 for example, we can see that the left contrast for this trial is 1 the right contrast is 0, and the feedback (i.e., outcome) of the trial is 1. There are a total of 1077 neurons in this trial from 10 areas of the brain. The spike trains of these neurons are stored in session[[5]]$spks[[11]] which is a 1077 by 40 matrix with each entry being the number of spikes of one neuron (i.e., row) in each time bin (i.e., column).

#dim(session[[5]]$spks[[11]])[1]

#dim(session[[5]]$spks[[11]])[2]

Question of interest

The primary objective of this project is to build a predictive model to predict the outcome (i.e., feedback type) of each trial using the neural activity data (i.e., spike trains in spks), along with the stimuli (the left and right contrasts). Given the complexity of the data (and that this is a course project), we break the predictive modeling into three parts as follows.

#outcome = feedback type
#input: spks, left and right contrast

Part 1. Exploratory data analysis. In this part, we will explore the features of the data sets in order to build our prediction model. In particular, we would like to (i) describe the data structures across sessions (e.g., number of neurons, number of trials, stimuli conditions, feedback types), (ii) explore the neural activities during each trial, (iii) explore the changes across trials, and (iv) explore homogeneity and heterogeneity across sessions and mice.

#Understanding the dataset This dataset contains 18 sessions. Each session contains within it the data of several variables: mouse name, date of experiment, left contrast, right contrast, feedback type, brain area, spikes, and time.

The left contrast, right contrast, feedback type, time, and spikes variables have the same length. This indicates that for a given contrast combination, the feedback type and the neural spike activity vs time was recorded.

Looking closer at the spike data, each contrast combination resulted in the spike activity being documented over the number of neurons analyzed and over time. The number of neurons matches the length of the brain area data, as each neuron is classified by its brain area.

#Number of neurons across sessions

summarydata <- data.frame(session=c(1:18), trials=c(1:18), neuronnumber=c(1:18), feedbacknumber=c(1:18))



for(i in 1:18) {
  summarydata$trials[i] <- length(session[[i]]$spks)
  summarydata$feedbacknumber[i] <- length(session[[i]]$feedback_type)
  summarydata$neuronnumber[i] <- length(session[[i]]$brain_area)
}

summarydata
##    session trials neuronnumber feedbacknumber
## 1        1    114          734            114
## 2        2    251         1070            251
## 3        3    228          619            228
## 4        4    249         1769            249
## 5        5    254         1077            254
## 6        6    290         1169            290
## 7        7    252          584            252
## 8        8    250         1157            250
## 9        9    372          788            372
## 10      10    447         1172            447
## 11      11    342          857            342
## 12      12    340          698            340
## 13      13    300          983            300
## 14      14    268          756            268
## 15      15    404          743            404
## 16      16    280          474            280
## 17      17    224          565            224
## 18      18    216         1090            216

#This code summarizes the basic facts about each session’s data into a dataframe. This was taken from the class code to initally summarize data to identify what trends and relationships between variables to look into more closely.

n.session=length(session)

# in library tidyverse
meta <- tibble(
  session_num = c(1:18),
  mouse_name = rep('name',n.session),
  date_exp =rep('dt',n.session),
  n_brain_area = rep(0,n.session),
  n_neurons = rep(0,n.session),
  n_trials = rep(0,n.session),
  success_rate = rep(0,n.session)
)


for(i in 1:n.session){
  tmp = session[[i]];
  meta[i,2]=tmp$mouse_name;
  meta[i,3]=tmp$date_exp;
  meta[i,4]=length(unique(tmp$brain_area));
  meta[i,5]=dim(tmp$spks[[1]])[1];
  meta[i,6]=length(tmp$feedback_type);
  meta[i,7]=mean(tmp$feedback_type+1)/2;
  }

meta
## # A tibble: 18 × 7
##    session_num mouse_name date_exp  n_brain_area n_neurons n_trials success_rate
##          <int> <chr>      <chr>            <dbl>     <dbl>    <dbl>        <dbl>
##  1           1 Cori       2016-12-…            8       734      114        0.605
##  2           2 Cori       2016-12-…            5      1070      251        0.633
##  3           3 Cori       2016-12-…           11       619      228        0.662
##  4           4 Forssmann  2017-11-…           11      1769      249        0.667
##  5           5 Forssmann  2017-11-…           10      1077      254        0.661
##  6           6 Forssmann  2017-11-…            5      1169      290        0.741
##  7           7 Forssmann  2017-11-…            8       584      252        0.671
##  8           8 Hench      2017-06-…           15      1157      250        0.644
##  9           9 Hench      2017-06-…           12       788      372        0.685
## 10          10 Hench      2017-06-…           13      1172      447        0.620
## 11          11 Hench      2017-06-…            6       857      342        0.795
## 12          12 Lederberg  2017-12-…           12       698      340        0.738
## 13          13 Lederberg  2017-12-…           15       983      300        0.797
## 14          14 Lederberg  2017-12-…           10       756      268        0.694
## 15          15 Lederberg  2017-12-…            8       743      404        0.765
## 16          16 Lederberg  2017-12-…            6       474      280        0.718
## 17          17 Lederberg  2017-12-…            6       565      224        0.830
## 18          18 Lederberg  2017-12-…           10      1090      216        0.806
ggplot(meta, mapping=aes(x=session_num, y=success_rate, color=mouse_name)) + geom_col()

    #kable(meta, format = "html", table.attr = "class='table table-striped'",digits=2) 
# Calculate mean and standard deviation for each mouse
mouse_stats <- aggregate(success_rate ~ mouse_name, data = meta, 
                        FUN = function(x) c(mean = mean(x), sd = sd(x)))
mouse_stats <- do.call(data.frame, mouse_stats)

# Create a bar plot with error bars
ggplot(mouse_stats, aes(x = mouse_name, y = success_rate.mean, fill = mouse_name)) +
  geom_bar(stat = "identity") +
  geom_errorbar(aes(ymin = success_rate.mean - success_rate.sd, 
                   ymax = success_rate.mean + success_rate.sd),
                width = 0.2) +
  labs(title = "Average Success Rate by Mouse with Standard Deviation",
       x = "Mouse Name",
       y = "Average Success Rate") +
  theme_minimal() +
  theme(legend.position = "none")

We see that the average success rate in this experiment differs by mouse. Lederberg has the highest average success and Cori has the lowest average success. However, it is important to note that the sessions are not equally distributed by mouse. Cori only has 3 sessions worth of data, while Lederberg has 7 sessions worth of data.

Is there a correlation between brain area types and success rate?

ggplot(meta, mapping=aes(x=n_brain_area, y=success_rate, color=mouse_name)) + geom_point() + geom_line() +  geom_smooth(method = "lm", se = FALSE, linetype = "dashed") + ggtitle("Number of brain areas vs Success Rate per Mouse over 18 sessions")
## `geom_smooth()` using formula = 'y ~ x'

There seems to be a complex relationship between the number of brain areas whose neurons fire during this experiment and the success rate. I hypothesized that there might be a trend where an increased of brain areas fired may lead to higher success response rates. However, each mouse seems to demonstrate their own trend for the relationship between the variables of n_brain_area and success_rate.

Cori seems to have a slight positive linear trend, mice Forssmann and Hench seem to have a negative linear trend, and mouse Lederberg seems to have essentially no trend.

ggplot(meta, mapping=aes(x=n_brain_area, y=n_neurons, color=mouse_name)) + geom_point() + geom_line(linetype="dotted") +  geom_smooth(method = "lm", se = FALSE) + ggtitle("Number of brain areas vs Number of Neurons per Mouse over 18 sessions")
## `geom_smooth()` using formula = 'y ~ x'

This graph demonstrates data towards the hypothesis that an increased number of brain areas involved resulted in a larger number of neurons being fired. However, the data suggests that there isn’t a consistent trend between these two variables. In three out of the four mice, there is a general positive trend, where greater number of brain areas yield larger numbers of fired neurons. However in mouse Cori, we see the opposite trend.

This graph also demonstrates that different sessions of the same mouse have different numbers of brain areas and neurons fired. This is an interesting finding, as one would assume that the same replicated experiment would fire the same number of neurons and the same brain areas would be activated in the same mouse.

One next question to ask would be to understand how contrast pairs yield to successes or failures.

ggplot(meta, mapping=aes(x=session_num, y=n_brain_area, color=mouse_name)) + geom_col() +ggtitle("Session Number vs Number of Brain Areas by Mouse")

This bar graph demonstrates in a different way that each session fired a different number of brain areas. Even sessions within the same mouse were not consistent in the number of brain areas fired.

session[[1]]$spks[1]
## [[1]]
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## [573,]     0     0     0
## [574,]     0     0     0
## [575,]     0     0     0
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## [580,]     0     0     0
## [581,]     0     0     1
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## [585,]     0     0     0
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## [587,]     0     0     0
## [588,]     0     0     0
## [589,]     0     0     0
## [590,]     0     0     0
## [591,]     0     0     0
## [592,]     0     0     0
## [593,]     0     0     0
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## [596,]     0     0     0
## [597,]     0     0     0
## [598,]     0     0     0
## [599,]     1     0     0
## [600,]     0     0     0
## [601,]     0     0     0
## [602,]     0     0     0
## [603,]     0     0     0
## [604,]     0     0     0
## [605,]     0     0     0
## [606,]     0     0     0
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## [608,]     0     0     0
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## [610,]     0     0     0
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## [659,]     0     0     1
## [660,]     0     0     1
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## [684,]     0     0     0
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## [686,]     0     0     0
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## [688,]     0     0     0
## [689,]     0     0     0
## [690,]     0     0     0
## [691,]     0     0     0
## [692,]     0     1     0
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## [696,]     1     0     0
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## [699,]     0     0     0
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## [701,]     0     0     0
## [702,]     0     0     0
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## [704,]     0     0     0
## [705,]     0     0     0
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## [715,]     1     0     0
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## [732,]     0     0     0
## [733,]     0     0     0
## [734,]     0     0     0
session[[1]]$brain_area[1]
## [1] "ACA"
average_spike_area <- function(trials, this_session) {
  # Initialize an empty list to store results
  results_list <- list()
  
  # Loop through each trial in the provided trials
  for (i.t in trials) {
    spk.trial <- this_session$spks[[i.t]]
    area <- this_session$brain_area
    spk.count <- apply(spk.trial, 1, sum)
    spk.average <- tapply(spk.count, area, mean)
    
    # Convert to data frame and store trial index
    trial_df <- data.frame(
      trial = i.t,
      brain_area = names(spk.average),
      avg_spike_count = as.numeric(spk.average)
    )
    
    results_list[[i.t]] <- trial_df
  }
  
  # Combine all results into a single data frame
  results_df <- do.call(rbind, results_list)
  
  return(results_df)
}

i = 2
trial_indices <- 1:(length(session[[i]]$feedback_type))  # Example: trials 1 through 10
results_df <- average_spike_area(trial_indices, session[[i]])
print(results_df)
##      trial brain_area avg_spike_count
## 1        1        CA1       1.1210526
## 2        1       POST       1.8167539
## 3        1       root       1.5384615
## 4        1       VISl       1.3982684
## 5        1      VISpm       2.0000000
## 6        2        CA1       0.8368421
## 7        2       POST       1.0366492
## 8        2       root       0.9358974
## 9        2       VISl       0.9740260
## 10       2      VISpm       1.1357616
## 11       3        CA1       1.0157895
## 12       3       POST       1.2879581
## 13       3       root       1.2051282
## 14       3       VISl       1.1818182
## 15       3      VISpm       1.4668874
## 16       4        CA1       1.1000000
## 17       4       POST       1.2356021
## 18       4       root       1.1025641
## 19       4       VISl       1.2467532
## 20       4      VISpm       1.5662252
## 21       5        CA1       0.7631579
## 22       5       POST       1.4083770
## 23       5       root       1.1153846
## 24       5       VISl       1.0779221
## 25       5      VISpm       1.6192053
## 26       6        CA1       0.9315789
## 27       6       POST       0.8481675
## 28       6       root       0.9487179
## 29       6       VISl       1.0519481
## 30       6      VISpm       0.9900662
## 31       7        CA1       1.1315789
## 32       7       POST       1.7225131
## 33       7       root       1.0128205
## 34       7       VISl       1.1904762
## 35       7      VISpm       1.8145695
## 36       8        CA1       1.6210526
## 37       8       POST       1.7382199
## 38       8       root       1.6666667
## 39       8       VISl       1.5844156
## 40       8      VISpm       1.7119205
## 41       9        CA1       0.8789474
## 42       9       POST       1.3193717
## 43       9       root       0.9743590
## 44       9       VISl       1.0692641
## 45       9      VISpm       1.2682119
## 46      10        CA1       0.8263158
## 47      10       POST       0.7591623
## 48      10       root       0.8717949
## 49      10       VISl       0.9393939
## 50      10      VISpm       0.8874172
## 51      11        CA1       1.0789474
## 52      11       POST       1.4764398
## 53      11       root       1.2820513
## 54      11       VISl       1.2900433
## 55      11      VISpm       1.5993377
## 56      12        CA1       1.2368421
## 57      12       POST       1.4554974
## 58      12       root       1.2692308
## 59      12       VISl       1.6536797
## 60      12      VISpm       1.5728477
## 61      13        CA1       1.1684211
## 62      13       POST       1.7225131
## 63      13       root       1.2820513
## 64      13       VISl       1.3463203
## 65      13      VISpm       1.8245033
## 66      14        CA1       1.1000000
## 67      14       POST       1.5235602
## 68      14       root       1.1153846
## 69      14       VISl       1.3506494
## 70      14      VISpm       1.4139073
## 71      15        CA1       1.0421053
## 72      15       POST       1.3717277
## 73      15       root       1.1153846
## 74      15       VISl       1.2251082
## 75      15      VISpm       1.7284768
## 76      16        CA1       1.1263158
## 77      16       POST       1.5863874
## 78      16       root       1.1987179
## 79      16       VISl       1.2554113
## 80      16      VISpm       1.7880795
## 81      17        CA1       1.2368421
## 82      17       POST       1.6335079
## 83      17       root       1.3525641
## 84      17       VISl       1.3549784
## 85      17      VISpm       1.6986755
## 86      18        CA1       1.0947368
## 87      18       POST       1.4973822
## 88      18       root       1.1217949
## 89      18       VISl       1.2597403
## 90      18      VISpm       1.3145695
## 91      19        CA1       1.0210526
## 92      19       POST       1.3193717
## 93      19       root       0.9743590
## 94      19       VISl       1.3852814
## 95      19      VISpm       1.4602649
## 96      20        CA1       1.1000000
## 97      20       POST       1.0994764
## 98      20       root       1.1346154
## 99      20       VISl       1.3246753
## 100     20      VISpm       1.5463576
## 101     21        CA1       1.3526316
## 102     21       POST       1.1308901
## 103     21       root       1.5576923
## 104     21       VISl       1.4372294
## 105     21      VISpm       1.2615894
## 106     22        CA1       1.1736842
## 107     22       POST       1.5759162
## 108     22       root       1.0448718
## 109     22       VISl       1.3376623
## 110     22      VISpm       1.5728477
## 111     23        CA1       1.1842105
## 112     23       POST       1.4240838
## 113     23       root       1.2179487
## 114     23       VISl       1.4025974
## 115     23      VISpm       1.6655629
## 116     24        CA1       1.1052632
## 117     24       POST       1.4607330
## 118     24       root       1.2371795
## 119     24       VISl       1.3116883
## 120     24      VISpm       1.4238411
## 121     25        CA1       1.1263158
## 122     25       POST       0.8691099
## 123     25       root       0.8974359
## 124     25       VISl       1.1688312
## 125     25      VISpm       1.1026490
## 126     26        CA1       1.3263158
## 127     26       POST       1.5130890
## 128     26       root       1.3653846
## 129     26       VISl       1.5194805
## 130     26      VISpm       1.7516556
## 131     27        CA1       1.0894737
## 132     27       POST       0.9842932
## 133     27       root       1.3589744
## 134     27       VISl       1.3160173
## 135     27      VISpm       1.1622517
## 136     28        CA1       1.0526316
## 137     28       POST       1.2146597
## 138     28       root       1.0705128
## 139     28       VISl       1.2597403
## 140     28      VISpm       1.4635762
## 141     29        CA1       1.2052632
## 142     29       POST       1.4869110
## 143     29       root       1.1923077
## 144     29       VISl       1.4329004
## 145     29      VISpm       1.6225166
## 146     30        CA1       1.3578947
## 147     30       POST       1.3664921
## 148     30       root       1.1025641
## 149     30       VISl       1.1255411
## 150     30      VISpm       1.5066225
## 151     31        CA1       1.1736842
## 152     31       POST       1.6910995
## 153     31       root       1.0256410
## 154     31       VISl       1.2510823
## 155     31      VISpm       1.5960265
## 156     32        CA1       1.0947368
## 157     32       POST       1.6649215
## 158     32       root       1.1858974
## 159     32       VISl       1.3549784
## 160     32      VISpm       1.5662252
## 161     33        CA1       1.1842105
## 162     33       POST       1.4869110
## 163     33       root       1.1282051
## 164     33       VISl       1.3376623
## 165     33      VISpm       1.5860927
## 166     34        CA1       1.0526316
## 167     34       POST       1.2984293
## 168     34       root       1.1282051
## 169     34       VISl       1.2857143
## 170     34      VISpm       1.2152318
## 171     35        CA1       0.8947368
## 172     35       POST       0.9738220
## 173     35       root       1.2820513
## 174     35       VISl       1.1471861
## 175     35      VISpm       1.0894040
## 176     36        CA1       1.2684211
## 177     36       POST       1.3560209
## 178     36       root       1.1730769
## 179     36       VISl       1.2337662
## 180     36      VISpm       1.6655629
## 181     37        CA1       1.0473684
## 182     37       POST       1.3612565
## 183     37       root       0.9871795
## 184     37       VISl       1.3549784
## 185     37      VISpm       1.2317881
## 186     38        CA1       0.8894737
## 187     38       POST       1.5549738
## 188     38       root       1.0833333
## 189     38       VISl       1.3333333
## 190     38      VISpm       1.3410596
## 191     39        CA1       1.1157895
## 192     39       POST       1.2617801
## 193     39       root       0.7692308
## 194     39       VISl       1.2294372
## 195     39      VISpm       1.3311258
## 196     40        CA1       1.1842105
## 197     40       POST       1.0837696
## 198     40       root       0.9615385
## 199     40       VISl       1.3939394
## 200     40      VISpm       1.2715232
## 201     41        CA1       1.1947368
## 202     41       POST       1.5706806
## 203     41       root       1.0384615
## 204     41       VISl       1.3982684
## 205     41      VISpm       1.4635762
## 206     42        CA1       1.2894737
## 207     42       POST       1.6910995
## 208     42       root       0.9807692
## 209     42       VISl       1.3376623
## 210     42      VISpm       1.6026490
## 211     43        CA1       0.9736842
## 212     43       POST       1.2984293
## 213     43       root       1.1538462
## 214     43       VISl       1.2813853
## 215     43      VISpm       1.3178808
## 216     44        CA1       1.4000000
## 217     44       POST       1.6910995
## 218     44       root       1.0641026
## 219     44       VISl       1.6666667
## 220     44      VISpm       1.7715232
## 221     45        CA1       1.4052632
## 222     45       POST       1.4240838
## 223     45       root       1.2115385
## 224     45       VISl       1.2380952
## 225     45      VISpm       1.6456954
## 226     46        CA1       1.3894737
## 227     46       POST       1.6544503
## 228     46       root       1.3461538
## 229     46       VISl       1.6839827
## 230     46      VISpm       1.7582781
## 231     47        CA1       1.3052632
## 232     47       POST       1.5497382
## 233     47       root       1.0961538
## 234     47       VISl       1.4978355
## 235     47      VISpm       1.6953642
## 236     48        CA1       1.2210526
## 237     48       POST       1.6649215
## 238     48       root       0.9102564
## 239     48       VISl       1.3809524
## 240     48      VISpm       1.6192053
## 241     49        CA1       1.1263158
## 242     49       POST       0.8638743
## 243     49       root       1.0064103
## 244     49       VISl       1.3549784
## 245     49      VISpm       1.0662252
## 246     50        CA1       1.2421053
## 247     50       POST       1.2041885
## 248     50       root       1.1346154
## 249     50       VISl       1.4069264
## 250     50      VISpm       1.2615894
## 251     51        CA1       1.5578947
## 252     51       POST       1.4450262
## 253     51       root       0.9358974
## 254     51       VISl       1.6017316
## 255     51      VISpm       1.4900662
## 256     52        CA1       1.1789474
## 257     52       POST       0.8795812
## 258     52       root       1.1602564
## 259     52       VISl       1.3809524
## 260     52      VISpm       1.2880795
## 261     53        CA1       1.1263158
## 262     53       POST       1.3455497
## 263     53       root       0.8269231
## 264     53       VISl       1.4502165
## 265     53      VISpm       1.3377483
## 266     54        CA1       1.2684211
## 267     54       POST       1.4764398
## 268     54       root       0.8653846
## 269     54       VISl       1.4329004
## 270     54      VISpm       1.5562914
## 271     55        CA1       1.3526316
## 272     55       POST       1.4921466
## 273     55       root       0.9551282
## 274     55       VISl       1.4718615
## 275     55      VISpm       1.5728477
## 276     56        CA1       1.3736842
## 277     56       POST       1.3193717
## 278     56       root       0.9807692
## 279     56       VISl       1.3073593
## 280     56      VISpm       1.5894040
## 281     57        CA1       1.2631579
## 282     57       POST       1.6230366
## 283     57       root       1.0256410
## 284     57       VISl       1.3636364
## 285     57      VISpm       1.6092715
## 286     58        CA1       1.2421053
## 287     58       POST       1.4083770
## 288     58       root       0.9423077
## 289     58       VISl       1.3463203
## 290     58      VISpm       1.5397351
## 291     59        CA1       1.2315789
## 292     59       POST       1.3036649
## 293     59       root       1.0448718
## 294     59       VISl       1.4502165
## 295     59      VISpm       1.4768212
## 296     60        CA1       0.9000000
## 297     60       POST       1.0575916
## 298     60       root       0.7628205
## 299     60       VISl       1.2164502
## 300     60      VISpm       1.3112583
## 301     61        CA1       1.2631579
## 302     61       POST       1.4240838
## 303     61       root       1.0384615
## 304     61       VISl       1.3290043
## 305     61      VISpm       1.6788079
## 306     62        CA1       1.0421053
## 307     62       POST       1.0471204
## 308     62       root       1.2307692
## 309     62       VISl       1.3722944
## 310     62      VISpm       1.2615894
## 311     63        CA1       1.0736842
## 312     63       POST       1.1675393
## 313     63       root       0.9423077
## 314     63       VISl       1.1904762
## 315     63      VISpm       1.2317881
## 316     64        CA1       1.1105263
## 317     64       POST       1.1989529
## 318     64       root       1.0128205
## 319     64       VISl       1.3982684
## 320     64      VISpm       1.4139073
## 321     65        CA1       1.4263158
## 322     65       POST       1.6335079
## 323     65       root       0.8141026
## 324     65       VISl       1.5541126
## 325     65      VISpm       1.6390728
## 326     66        CA1       1.2000000
## 327     66       POST       1.6544503
## 328     66       root       1.0448718
## 329     66       VISl       1.4372294
## 330     66      VISpm       1.5629139
## 331     67        CA1       1.4736842
## 332     67       POST       1.6649215
## 333     67       root       0.9871795
## 334     67       VISl       1.3679654
## 335     67      VISpm       1.7980132
## 336     68        CA1       1.3157895
## 337     68       POST       1.4869110
## 338     68       root       0.9358974
## 339     68       VISl       1.2900433
## 340     68      VISpm       1.3112583
## 341     69        CA1       1.1578947
## 342     69       POST       1.3141361
## 343     69       root       0.8269231
## 344     69       VISl       1.3549784
## 345     69      VISpm       1.3443709
## 346     70        CA1       0.9105263
## 347     70       POST       0.8324607
## 348     70       root       0.9551282
## 349     70       VISl       1.2510823
## 350     70      VISpm       1.0596026
## 351     71        CA1       1.2157895
## 352     71       POST       1.5602094
## 353     71       root       1.0512821
## 354     71       VISl       1.2813853
## 355     71      VISpm       1.5397351
## 356     72        CA1       0.8421053
## 357     72       POST       0.8324607
## 358     72       root       0.7628205
## 359     72       VISl       1.1601732
## 360     72      VISpm       0.9834437
## 361     73        CA1       1.4789474
## 362     73       POST       1.6910995
## 363     73       root       1.2371795
## 364     73       VISl       1.5281385
## 365     73      VISpm       1.8211921
## 366     74        CA1       1.0842105
## 367     74       POST       0.8429319
## 368     74       root       0.7948718
## 369     74       VISl       1.0432900
## 370     74      VISpm       0.9370861
## 371     75        CA1       1.4315789
## 372     75       POST       1.8848168
## 373     75       root       0.9551282
## 374     75       VISl       1.4242424
## 375     75      VISpm       1.6125828
## 376     76        CA1       1.0052632
## 377     76       POST       0.8219895
## 378     76       root       0.7948718
## 379     76       VISl       1.0735931
## 380     76      VISpm       0.9470199
## 381     77        CA1       1.1526316
## 382     77       POST       1.3507853
## 383     77       root       0.9615385
## 384     77       VISl       1.2683983
## 385     77      VISpm       1.6258278
## 386     78        CA1       1.0000000
## 387     78       POST       1.1151832
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## 925    185      VISpm       1.2682119
## 926    186        CA1       1.1894737
## 927    186       POST       1.4607330
## 928    186       root       1.0641026
## 929    186       VISl       1.2943723
## 930    186      VISpm       1.4635762
## 931    187        CA1       1.0736842
## 932    187       POST       1.0261780
## 933    187       root       0.8846154
## 934    187       VISl       0.9870130
## 935    187      VISpm       0.9834437
## 936    188        CA1       1.4894737
## 937    188       POST       0.9528796
## 938    188       root       1.5000000
## 939    188       VISl       1.5411255
## 940    188      VISpm       1.0430464
## 941    189        CA1       1.1105263
## 942    189       POST       1.1465969
## 943    189       root       0.9038462
## 944    189       VISl       1.2987013
## 945    189      VISpm       1.7317881
## 946    190        CA1       0.8473684
## 947    190       POST       1.1099476
## 948    190       root       0.8782051
## 949    190       VISl       1.0346320
## 950    190      VISpm       1.1092715
## 951    191        CA1       1.0894737
## 952    191       POST       1.4816754
## 953    191       root       1.1089744
## 954    191       VISl       1.2207792
## 955    191      VISpm       1.4238411
## 956    192        CA1       1.0631579
## 957    192       POST       0.8795812
## 958    192       root       0.8846154
## 959    192       VISl       1.1385281
## 960    192      VISpm       1.1324503
## 961    193        CA1       1.0000000
## 962    193       POST       1.0261780
## 963    193       root       0.8782051
## 964    193       VISl       1.0692641
## 965    193      VISpm       1.2417219
## 966    194        CA1       1.1052632
## 967    194       POST       1.1151832
## 968    194       root       0.7820513
## 969    194       VISl       1.0476190
## 970    194      VISpm       1.3178808
## 971    195        CA1       1.5736842
## 972    195       POST       1.7068063
## 973    195       root       1.1474359
## 974    195       VISl       1.3246753
## 975    195      VISpm       1.6688742
## 976    196        CA1       1.0368421
## 977    196       POST       1.0104712
## 978    196       root       0.7500000
## 979    196       VISl       0.9437229
## 980    196      VISpm       1.0165563
## 981    197        CA1       1.0947368
## 982    197       POST       1.0000000
## 983    197       root       0.8269231
## 984    197       VISl       1.1515152
## 985    197      VISpm       1.5000000
## 986    198        CA1       1.2315789
## 987    198       POST       1.0575916
## 988    198       root       0.9615385
## 989    198       VISl       1.2251082
## 990    198      VISpm       1.3708609
## 991    199        CA1       0.9263158
## 992    199       POST       1.0418848
## 993    199       root       0.9038462
## 994    199       VISl       1.0606061
## 995    199      VISpm       1.3807947
## 996    200        CA1       1.0894737
## 997    200       POST       1.5078534
## 998    200       root       0.9679487
## 999    200       VISl       1.1038961
## 1000   200      VISpm       1.7152318
## 1001   201        CA1       1.2105263
## 1002   201       POST       0.9895288
## 1003   201       root       1.1282051
## 1004   201       VISl       1.2424242
## 1005   201      VISpm       1.4867550
## 1006   202        CA1       1.1894737
## 1007   202       POST       1.4869110
## 1008   202       root       0.8012821
## 1009   202       VISl       1.2554113
## 1010   202      VISpm       1.5894040
## 1011   203        CA1       1.3894737
## 1012   203       POST       1.6282723
## 1013   203       root       0.8653846
## 1014   203       VISl       1.3679654
## 1015   203      VISpm       1.7350993
## 1016   204        CA1       1.1210526
## 1017   204       POST       0.9738220
## 1018   204       root       0.8782051
## 1019   204       VISl       1.1818182
## 1020   204      VISpm       1.5927152
## 1021   205        CA1       1.3157895
## 1022   205       POST       1.2303665
## 1023   205       root       1.4679487
## 1024   205       VISl       1.4069264
## 1025   205      VISpm       1.2980132
## 1026   206        CA1       1.3631579
## 1027   206       POST       1.8848168
## 1028   206       root       1.1217949
## 1029   206       VISl       1.5541126
## 1030   206      VISpm       1.8178808
## 1031   207        CA1       1.0052632
## 1032   207       POST       1.1256545
## 1033   207       root       0.8782051
## 1034   207       VISl       1.0562771
## 1035   207      VISpm       1.5000000
## 1036   208        CA1       1.1684211
## 1037   208       POST       1.2094241
## 1038   208       root       0.8141026
## 1039   208       VISl       1.1818182
## 1040   208      VISpm       1.5397351
## 1041   209        CA1       1.2000000
## 1042   209       POST       1.3612565
## 1043   209       root       0.9743590
## 1044   209       VISl       1.1774892
## 1045   209      VISpm       1.5629139
## 1046   210        CA1       1.0052632
## 1047   210       POST       0.8900524
## 1048   210       root       0.7115385
## 1049   210       VISl       0.9090909
## 1050   210      VISpm       1.1788079
## 1051   211        CA1       1.6105263
## 1052   211       POST       1.8638743
## 1053   211       root       1.1858974
## 1054   211       VISl       1.5064935
## 1055   211      VISpm       1.9470199
## 1056   212        CA1       1.4421053
## 1057   212       POST       1.9371728
## 1058   212       root       1.0961538
## 1059   212       VISl       1.6190476
## 1060   212      VISpm       1.8741722
## 1061   213        CA1       1.0421053
## 1062   213       POST       0.9109948
## 1063   213       root       0.9423077
## 1064   213       VISl       1.0389610
## 1065   213      VISpm       0.8940397
## 1066   214        CA1       1.5315789
## 1067   214       POST       1.6701571
## 1068   214       root       1.1153846
## 1069   214       VISl       1.6580087
## 1070   214      VISpm       1.9072848
## 1071   215        CA1       1.1315789
## 1072   215       POST       1.1518325
## 1073   215       root       1.1089744
## 1074   215       VISl       1.2380952
## 1075   215      VISpm       1.3973510
## 1076   216        CA1       1.2894737
## 1077   216       POST       1.6125654
## 1078   216       root       1.0064103
## 1079   216       VISl       1.4025974
## 1080   216      VISpm       1.7317881
## 1081   217        CA1       0.9368421
## 1082   217       POST       0.9424084
## 1083   217       root       0.9166667
## 1084   217       VISl       1.0346320
## 1085   217      VISpm       0.9536424
## 1086   218        CA1       1.3000000
## 1087   218       POST       1.3560209
## 1088   218       root       1.1089744
## 1089   218       VISl       1.3203463
## 1090   218      VISpm       1.7086093
## 1091   219        CA1       1.5315789
## 1092   219       POST       1.7696335
## 1093   219       root       1.0833333
## 1094   219       VISl       1.4632035
## 1095   219      VISpm       1.8509934
## 1096   220        CA1       1.2000000
## 1097   220       POST       0.8062827
## 1098   220       root       1.0192308
## 1099   220       VISl       1.1385281
## 1100   220      VISpm       0.9768212
## 1101   221        CA1       1.0315789
## 1102   221       POST       1.2146597
## 1103   221       root       0.9615385
## 1104   221       VISl       1.1558442
## 1105   221      VISpm       1.2947020
## 1106   222        CA1       1.6157895
## 1107   222       POST       1.4450262
## 1108   222       root       1.0448718
## 1109   222       VISl       1.3290043
## 1110   222      VISpm       1.5596026
## 1111   223        CA1       1.3578947
## 1112   223       POST       1.2460733
## 1113   223       root       1.2243590
## 1114   223       VISl       1.2943723
## 1115   223      VISpm       1.2350993
## 1116   224        CA1       1.2789474
## 1117   224       POST       0.9842932
## 1118   224       root       0.9230769
## 1119   224       VISl       1.1601732
## 1120   224      VISpm       1.3807947
## 1121   225        CA1       1.2315789
## 1122   225       POST       1.1518325
## 1123   225       root       1.3910256
## 1124   225       VISl       1.3549784
## 1125   225      VISpm       1.4668874
## 1126   226        CA1       1.1736842
## 1127   226       POST       0.7801047
## 1128   226       root       1.2179487
## 1129   226       VISl       1.2294372
## 1130   226      VISpm       1.3311258
## 1131   227        CA1       0.9789474
## 1132   227       POST       0.9162304
## 1133   227       root       0.7756410
## 1134   227       VISl       1.1038961
## 1135   227      VISpm       1.3311258
## 1136   228        CA1       1.2052632
## 1137   228       POST       1.0314136
## 1138   228       root       0.9743590
## 1139   228       VISl       1.0562771
## 1140   228      VISpm       1.4503311
## 1141   229        CA1       1.5157895
## 1142   229       POST       1.4816754
## 1143   229       root       1.2243590
## 1144   229       VISl       1.3939394
## 1145   229      VISpm       1.5397351
## 1146   230        CA1       1.1210526
## 1147   230       POST       1.3246073
## 1148   230       root       1.0384615
## 1149   230       VISl       1.1818182
## 1150   230      VISpm       1.2748344
## 1151   231        CA1       1.2263158
## 1152   231       POST       0.9214660
## 1153   231       root       0.9038462
## 1154   231       VISl       1.1731602
## 1155   231      VISpm       1.0165563
## 1156   232        CA1       1.1473684
## 1157   232       POST       0.7905759
## 1158   232       root       1.0384615
## 1159   232       VISl       1.1731602
## 1160   232      VISpm       1.1192053
## 1161   233        CA1       1.2052632
## 1162   233       POST       1.2041885
## 1163   233       root       1.0320513
## 1164   233       VISl       1.2857143
## 1165   233      VISpm       1.4668874
## 1166   234        CA1       1.6421053
## 1167   234       POST       1.5863874
## 1168   234       root       1.0000000
## 1169   234       VISl       1.3203463
## 1170   234      VISpm       1.6258278
## 1171   235        CA1       1.1631579
## 1172   235       POST       1.3979058
## 1173   235       root       0.9871795
## 1174   235       VISl       1.0562771
## 1175   235      VISpm       1.3476821
## 1176   236        CA1       1.1578947
## 1177   236       POST       1.2774869
## 1178   236       root       1.2179487
## 1179   236       VISl       1.2683983
## 1180   236      VISpm       1.2682119
## 1181   237        CA1       1.1368421
## 1182   237       POST       1.3193717
## 1183   237       root       1.0192308
## 1184   237       VISl       1.0216450
## 1185   237      VISpm       1.4039735
## 1186   238        CA1       1.3578947
## 1187   238       POST       1.2827225
## 1188   238       root       1.1282051
## 1189   238       VISl       1.3246753
## 1190   238      VISpm       1.1688742
## 1191   239        CA1       1.5105263
## 1192   239       POST       1.6701571
## 1193   239       root       1.0576923
## 1194   239       VISl       1.4675325
## 1195   239      VISpm       1.5827815
## 1196   240        CA1       1.1684211
## 1197   240       POST       1.1780105
## 1198   240       root       0.9166667
## 1199   240       VISl       1.1558442
## 1200   240      VISpm       1.4337748
## 1201   241        CA1       1.4578947
## 1202   241       POST       1.5759162
## 1203   241       root       1.1217949
## 1204   241       VISl       1.4112554
## 1205   241      VISpm       1.6291391
## 1206   242        CA1       1.0157895
## 1207   242       POST       1.3141361
## 1208   242       root       1.1730769
## 1209   242       VISl       1.3376623
## 1210   242      VISpm       1.6490066
## 1211   243        CA1       0.9947368
## 1212   243       POST       0.9214660
## 1213   243       root       1.0576923
## 1214   243       VISl       1.0173160
## 1215   243      VISpm       1.3211921
## 1216   244        CA1       1.0210526
## 1217   244       POST       1.0837696
## 1218   244       root       0.9679487
## 1219   244       VISl       1.0909091
## 1220   244      VISpm       1.0596026
## 1221   245        CA1       1.0210526
## 1222   245       POST       1.0785340
## 1223   245       root       0.7884615
## 1224   245       VISl       1.1515152
## 1225   245      VISpm       1.2384106
## 1226   246        CA1       1.2789474
## 1227   246       POST       1.5340314
## 1228   246       root       0.9935897
## 1229   246       VISl       1.3852814
## 1230   246      VISpm       1.7549669
## 1231   247        CA1       1.0631579
## 1232   247       POST       1.1413613
## 1233   247       root       0.6474359
## 1234   247       VISl       0.9740260
## 1235   247      VISpm       0.9139073
## 1236   248        CA1       1.2578947
## 1237   248       POST       1.3350785
## 1238   248       root       0.9935897
## 1239   248       VISl       1.1904762
## 1240   248      VISpm       1.4139073
## 1241   249        CA1       1.0684211
## 1242   249       POST       1.1151832
## 1243   249       root       0.9487179
## 1244   249       VISl       1.1991342
## 1245   249      VISpm       1.2185430
## 1246   250        CA1       1.3157895
## 1247   250       POST       1.5078534
## 1248   250       root       0.8141026
## 1249   250       VISl       1.2727273
## 1250   250      VISpm       1.6357616
## 1251   251        CA1       1.3157895
## 1252   251       POST       1.4869110
## 1253   251       root       0.9615385
## 1254   251       VISl       1.2034632
## 1255   251      VISpm       1.4801325
ggplot(results_df, mapping=aes(x=brain_area, y=avg_spike_count, color=trial)) + geom_point() +stat_summary(fun = mean, geom = "point", size = 4, color = "red") 

This data frame demonstrates the average spike count in each brain region and in each trial of session 2. The graph shows us that there there is a difference between spike count and brain area.

# Initialize an empty list to store results from all sessions
all_results_list <- list()

# Loop through all sessions (i = 1:18)
for (i in 1:18) {
  trial_indices <- 1:(length(session[[i]]$feedback_type))  # Define trials
  session_results <- average_spike_area(trial_indices, session[[i]])
  session_results$session <- i  # Add session number
  all_results_list[[i]] <- session_results  # Store results
}

# Combine all session data into one data frame
all_results_df <- do.call(rbind, all_results_list)

# Plot data for all sessions, faceting by session
ggplot(all_results_df, aes(x = brain_area, y = avg_spike_count,  color = trial)) + 
  geom_point(size = 1) +
  stat_summary(fun = mean, geom = "point", size = 3, color = "red") +  # Red points for mean
  facet_wrap(~ session, scales = "free_x", ncol = 6) +  # Facet by session, adjust columns
  theme_minimal() +
  labs(title = "Average Spike Count per Brain Area Across Sessions",
       x = "Brain Area",
       y = "Avg Spike Count") +
  theme(axis.text.x = element_text(angle = 45, hjust = 1))  # Rotate x-axis labels for readability

This graph demonstrates the average spike count of each brain area per session across all 18 sessions.

average_spike_area <- function(this_session) {
  # Get the number of trials in the session dynamically
  num_trials <- length(this_session$spks)
  
  # Initialize an empty list to store results
  results_list <- list()
  
  # Loop through each trial
  for (i.t in seq_len(num_trials)) {
    spk.trial <- this_session$spks[[i.t]]
    area <- this_session$brain_area
    spk.count <- apply(spk.trial, 1, sum)
    spk.average <- tapply(spk.count, area, mean)
    
    # Convert to data frame and store trial index
    trial_df <- data.frame(
      trial = i.t,
      brain_area = names(spk.average),
      avg_spike_count = as.numeric(spk.average)
    )
    
    results_list[[i.t]] <- trial_df
  }
  
  # Combine all results into a single data frame
  results_df <- do.call(rbind, results_list)
  
  return(results_df)
}

# Function to process all sessions and account for different trial counts
average_spike_area_all_sessions <- function(sessions) {
  # Initialize an empty list for all session results
  all_results_list <- list()
  
  # Loop through each session
  for (session_idx in seq_along(sessions)) {
    
    this_session <- sessions[[session_idx]]  # ✅ Fix: Use [[ ]] instead of [ ]
    
    # Get the trial data for this session
    session_df <- average_spike_area(this_session)
    
    # Add session index
    session_df$session <- session_idx
    
    # Store in list
    all_results_list[[session_idx]] <- session_df
  }
  
  # Combine all session results into one big data frame
  all_results_df <- do.call(rbind, all_results_list)
  
  return(all_results_df)
}

# ✅ Fix: Use `list()`, not `c()`
#sessionlist <- list(session[[1]], session[[2]], session[[3]])

# ✅ Fix: Use `lapply` for all 18 sessions
sessionlist <- lapply(1:18, function(i) session[[i]])

# Example usage
results_df_allsessions <- average_spike_area_all_sessions(sessionlist)

# Print the first few rows
print(head(results_df_allsessions))
##   trial brain_area avg_spike_count session
## 1     1        ACA       1.2660550       1
## 2     1        CA3       1.5294118       1
## 3     1         DG       2.3235294       1
## 4     1         LS       1.9352518       1
## 5     1        MOs       0.9380531       1
## 6     1       root       0.5000000       1
dim(results_df_allsessions)
## [1] 49173     4
ggplot(results_df_allsessions, aes(x=brain_area, y=avg_spike_count, color=factor(session))) + 
  geom_jitter(width = 0.2, height = 0, alpha = 0.5) +  # Jitter to reduce overlap
  stat_summary(fun = mean, geom = "point", size = 5, shape = 18, color = "black") +  # Larger black mean points
  scale_color_viridis_d(option = "plasma") +  # Better color scale
  theme_minimal() +  # Cleaner theme
  theme(axis.text.x = element_text(angle = 45, hjust = 1)) +  # Rotate x-axis labels
  labs(title = "Average Spike Count by Brain Area and Session",
       x = "Brain Area",
       y = "Avg Spike Count",
       color = "Session")  # Clearer labels

This graph collects the results across all sessions to identify the spike rate of different brain areas. The aggregate data also demonstrates certain brain areas with higher spike counts than other areas.

Using this data, I will do further investigation to understand whether higher average spike rates in these brain areas have any correlation with response success. I hypothesize currently that higher spike rates may lead to increased response success.

results_df_allsessions$mousename <- rep(0, nrow(results_df_allsessions))
results_df_allsessions$feedback <- rep(0, nrow(results_df_allsessions))
results_df_allsessions$rightcontrast <- rep(0, nrow(results_df_allsessions))
results_df_allsessions$leftcontrast <- rep(0, nrow(results_df_allsessions))
results_df_allsessions$contrastdiff <- rep(0, nrow(results_df_allsessions))

for(i in 1:nrow(results_df_allsessions)){
  sessnum <- as.numeric(results_df_allsessions$session[i])
  results_df_allsessions$mousename[i] <- session[[sessnum]]$mouse_name
  trialnum <-  as.numeric(results_df_allsessions$trial[i])
  results_df_allsessions$feedback[i] <- session[[sessnum]]$feedback_type[[trialnum]]
  results_df_allsessions$rightcontrast[i] <- session[[sessnum]]$contrast_right[[trialnum]]
  results_df_allsessions$leftcontrast[i] <- session[[sessnum]]$contrast_left[[trialnum]]
  results_df_allsessions$contrastdiff[i] <- results_df_allsessions$rightcontrast[i] - results_df_allsessions$leftcontrast[i]
}

head(results_df_allsessions)
##   trial brain_area avg_spike_count session mousename feedback rightcontrast
## 1     1        ACA       1.2660550       1      Cori        1           0.5
## 2     1        CA3       1.5294118       1      Cori        1           0.5
## 3     1         DG       2.3235294       1      Cori        1           0.5
## 4     1         LS       1.9352518       1      Cori        1           0.5
## 5     1        MOs       0.9380531       1      Cori        1           0.5
## 6     1       root       0.5000000       1      Cori        1           0.5
##   leftcontrast contrastdiff
## 1            0          0.5
## 2            0          0.5
## 3            0          0.5
## 4            0          0.5
## 5            0          0.5
## 6            0          0.5
# Filter the data for session 2
session2_data <- results_df_allsessions[results_df_allsessions$session == 5, ]

# If you want to see how spike counts vary by brain area



# Assuming your original plot code is similar to this
ggplot(session2_data, aes(x = trial, y = avg_spike_count, color = as.factor(feedback))) +
  geom_line(alpha = 0.5) +
  facet_wrap(~ brain_area) +
  labs(title = "Average Spike Count by Trial for Each Brain Area in Session 2",
       x = "Trial",
       y = "Average Spike Count") +
  
  # Add smoothed trend lines for each feedback value
  geom_smooth(method = "loess", se = FALSE, linewidth = 1.2) +
  
  # Customize colors and labels
  scale_color_manual(values = c("-1" = "red", "1" = "turquoise"), 
                     name = "feedback") +
  
  theme_minimal() +
  theme(legend.position = "bottom")
## `geom_smooth()` using formula = 'y ~ x'

results_df_allsessions[20000, ]
##       trial brain_area avg_spike_count session mousename feedback rightcontrast
## 20000   236      VISam               1       9     Hench        1             0
##       leftcontrast contrastdiff
## 20000            0            0
unique(results_df_allsessions$contrastdiff)
## [1]  0.50  0.00 -0.50 -0.25  1.00  0.75  0.25 -0.75 -1.00
contrastdiff_counts <- results_df_allsessions %>%
  ungroup() %>% 
  mutate(contrastdiff = as.numeric(as.character(contrastdiff))) %>%
  count(contrastdiff) %>%
  mutate(proportion = n / sum(n))

contrastdiff_counts
##   contrastdiff     n proportion
## 1        -1.00  4471 0.09092388
## 2        -0.75  4165 0.08470095
## 3        -0.50  5443 0.11069083
## 4        -0.25  3276 0.06662193
## 5         0.00 16176 0.32896102
## 6         0.25  3609 0.07339394
## 7         0.50  4639 0.09434039
## 8         0.75  2997 0.06094808
## 9         1.00  4397 0.08941899
contrastdiff_counts$sign <- ifelse(contrastdiff_counts$contrastdiff < 0, "negative", 
                       ifelse(contrastdiff_counts$contrastdiff > 0, "positive", "zero"))


print(contrastdiff_counts)
##   contrastdiff     n proportion     sign
## 1        -1.00  4471 0.09092388 negative
## 2        -0.75  4165 0.08470095 negative
## 3        -0.50  5443 0.11069083 negative
## 4        -0.25  3276 0.06662193 negative
## 5         0.00 16176 0.32896102     zero
## 6         0.25  3609 0.07339394 positive
## 7         0.50  4639 0.09434039 positive
## 8         0.75  2997 0.06094808 positive
## 9         1.00  4397 0.08941899 positive

This table investigates the number and combination of contrast differences within the total data. The table demonstrates that there is not an equal proportion of each contrast combination within the data.

ggplot(contrastdiff_counts, mapping=aes(x = "", y = proportion, fill = factor(contrastdiff))) + geom_bar(stat = "identity", width = 1) +
  coord_polar(theta = "y") + labs(title = "Pie chart demonstrating proportion of trials with contrast differences", subtitle= "(contrast_right - contrast_left)", fill="Contrast Difference") 

The pie chart above further illustrates this point. We see from the pie chart as well as from the table that the value of 0 contrast_diff makes up a much larger proportion of the data than the other contrast_diffs. I calculated the value of “contrast_diff” through the method: contrast_right - contrast_left. Therefore, negative values of contrast_diff indicate that there was a higher contrast_left value than contrast_right, while positive values indicate that there was a higher contrast_right value than contrast left.

A contrast_diff value of 0 can come from two methods. One scenario is when both left and right contrasts are 0. Another scenario is when left and right contrasts are equal, but non-zero.

The constrast_diff value of 0 is particularly important for me to consider in regards to prediction power in further steps of this assignment. Given that the mouse’s actions in the second case do not have a bearing on the success of the trial, it stands out as different compared to other trials. Thus, including this data may be problematic to overall predictions.

“When left and right contrasts are equal but non-zero, left or right will be randomly chosen (50%) as the correct choice.”

ggplot(contrastdiff_counts, mapping = aes(x=contrastdiff, y=proportion, fill = sign)) + geom_col() + facet_wrap(~abs(contrastdiff))

zero_contrast_diff <- results_df_allsessions %>%
  filter(contrastdiff == 0) %>%
  ungroup %>% 
  mutate(left_contrast_category = ifelse(leftcontrast != 0, "Non-zero", "Zero")) %>%
  count(left_contrast_category) %>%
  mutate(proportion = n / sum(n))

zero_contrast_diff
##   left_contrast_category     n proportion
## 1               Non-zero  3037  0.1877473
## 2                   Zero 13139  0.8122527
ggplot(zero_contrast_diff, mapping=aes(x = "", y = proportion, fill = factor(left_contrast_category))) + geom_bar(stat = "identity", width = 1) +
  coord_polar(theta = "y") + labs(title = "Contrast_diff = 0 trials", subtitle= "Proportion of trials where left/right contrast do not equal 0", fill="Left Contrast Category") 

I chose to investigate the trials where contrast_diff = 0 in more detail, in order to understand how many of these trials involve both left contrast and right contrast being 0 versus the left contrast and right contrast having equivalent but non-zero values. In the second case, if right contrast and left contrast are equal but non-zero, their difference (contrast_diff) will equal 0. I chose to look at the left contrast values, comparing the instances where left contrast = 0 versus instances where left contrast did not equal 0.

As I mentioned previously, this distinction is important because the mouse’s behavior in the first scenario truly yields a success/failure based on the mouse’s decision, while the second scenario yields a success/failure randomly. Therefore, I wanted to see what proportion of trials where contrast_diff = 0 came from each scenario.

The analysis demonstrates that around 80% of trials where contrast_diff = 0 come from the first scenario, where the left and right contrasts were both 0, and the mouse either successfully held the wheel still or incorrectly moved the wheel.

20% of trials were instances of the left and right contrasts being equal but non-zero. This means that 0.32896102 * 0.1877473 = 0.06176154 (6.17%) of all trials had feedbacks that were randomly assigned, rather than being correlated with the mouse’s behavior. This is a relatively small proportion of the total data, but is important to note when I build my prediction model.

ggplot(results_df_allsessions, aes(x=brain_area, y=avg_spike_count, color=brain_area)) + 
  geom_jitter(width = 0.2, height = 0, alpha = 0.5) +  # Jitter to reduce overlap
  stat_summary(fun = mean, geom = "point", size = 5, shape = 18, color = "black") +  # Larger black mean points
  scale_color_viridis_d(option = "plasma") +  # Better color scale
  theme_minimal() +  # Cleaner theme
  theme(axis.text.x = element_text(angle = 45, hjust = 1)) +  # Rotate x-axis labels
  labs(title = "Average Spike Count by Brain Area and Mouse",
       x = "Brain Area",
       y = "Avg Spike Count",
       color = "Session") +  # Clearer labels
  facet_wrap(~mousename)

The graph above reiterates the differences in brain areas being triggered in different mice. It specifically demonstrates that the brain areas with highest average spike count may not be the same for each moouse.

common_brain_areas <- results_df_allsessions %>%
  group_by(brain_area) %>%
  summarise(session_count = n_distinct(session)) %>%
  filter(session_count == n_distinct(results_df_allsessions$session)) %>%
  pull(brain_area)

# Print common brain areas
print(common_brain_areas)
## character(0)

I wanted to check if there was a certain brain area that was common to all sessions that could be an indicator of success rate by firing. However, there are no brain areas that are common to all 18 sessions.

session_counts_per_mouse <- results_df_allsessions %>%
  group_by(mousename) %>%
  summarise(total_sessions = n_distinct(session))

# Find common brain areas per mouse
common_brain_areas_per_mouse <- results_df_allsessions %>%
  group_by(mousename, brain_area) %>%
  summarise(session_count = n_distinct(session), .groups = "drop") %>%
  inner_join(session_counts_per_mouse, by = "mousename") %>%
  filter(session_count == total_sessions) %>%
 dplyr::select(mousename, brain_area)

# Print results
print(common_brain_areas_per_mouse)
## # A tibble: 2 × 2
##   mousename brain_area
##   <chr>     <chr>     
## 1 Cori      root      
## 2 Hench     root

I then checked if there were brain areas common to the sessions of a given mouse. There is only one brain area common to mouse Cori and mouse Hench, being “root”. The other two mice do not have a common brain area across all of their respective sessions.

ggplot(results_df_allsessions, aes(x = factor(feedback), y = avg_spike_count, fill = factor(feedback))) + 
  geom_point() +  # Boxplot to show distribution
  stat_summary(fun = mean, geom = "point", size = 3, color = "red", shape = 18) +  # Mean points
  facet_wrap(~ brain_area, scales = "free") +  # Separate plots for each brain area
  scale_fill_viridis_d(option = "plasma") +  # Color scale
  theme_minimal() +  # Cleaner theme
  labs(title = "Average Spike Count vs Feedback Type for Each Brain Area",
       x = "Feedback Type",
       y = "Average Spike Count",
       fill = "Feedback") +  
  theme(axis.text.x = element_text(angle = 45, hjust = 1))  # Rotate x-axis labels for readability

# Compute mean feedback per brain area
feedback_summary <- results_df_allsessions %>%
  group_by(brain_area, feedback) %>%
  summarize(mean_spike = mean(avg_spike_count, na.rm = TRUE), .groups = "drop") %>%
  spread(feedback, mean_spike)  # Convert feedback categories into separate columns

# Compute difference between max and min feedback means
feedback_summary <- feedback_summary %>%
  mutate(feedback_diff = apply(dplyr::select(., -brain_area), 1, function(x) max(x, na.rm = TRUE) - min(x, na.rm = TRUE))) %>% arrange(desc(by = feedback_diff))

# Find the brain area with the largest difference
largest_diff_brain_area <- feedback_summary %>%
  arrange(desc(feedback_diff)) %>%
  head(1)

feedback_summary
## # A tibble: 62 × 4
##    brain_area  `-1`   `1` feedback_diff
##    <chr>      <dbl> <dbl>         <dbl>
##  1 RN          7.81  8.45         0.637
##  2 MRN         2.85  3.36         0.510
##  3 SCs         1.51  1.92         0.407
##  4 PO          1.96  2.37         0.403
##  5 MB          2.02  2.40         0.386
##  6 MS          4.81  4.49         0.321
##  7 CA3         1.92  2.23         0.302
##  8 SCm         1.67  1.97         0.295
##  9 MOp         1.09  1.37         0.285
## 10 SCsg        1.01  1.26         0.256
## # ℹ 52 more rows
print(largest_diff_brain_area)
## # A tibble: 1 × 4
##   brain_area  `-1`   `1` feedback_diff
##   <chr>      <dbl> <dbl>         <dbl>
## 1 RN          7.81  8.45         0.637

The dataframe above was designed to understand whether there is a difference in feedback type based on brain area. However, there seems to be a weak-to-no trend between the average spike count and feedback type. There isn’t a distinctly greater spike count for positive feedback results versus negative feedback results. This dataframe identifies the top brain areas with the greatest differences in spike count.

# Assuming your data is in a dataframe called 'df'
# with columns 'brain_area', '-1', and '1'

# Perform paired t-test
result <- t.test(feedback_summary$`-1`, feedback_summary$`1`, paired = TRUE)

# Print the result
print(result)
## 
##  Paired t-test
## 
## data:  feedback_summary$`-1` and feedback_summary$`1`
## t = -6.6408, df = 61, p-value = 9.564e-09
## alternative hypothesis: true mean difference is not equal to 0
## 95 percent confidence interval:
##  -0.16080352 -0.08637526
## sample estimates:
## mean difference 
##      -0.1235894
# If you want to see the p-value specifically
print(paste("p-value:", result$p.value))
## [1] "p-value: 9.56354427391337e-09"

I conducted a paired t-test to see if there was a statistically significant difference in average spike count between successful and unsuccessful trials across all brain areas recorded in this dataset. The paired t-test yielded a p-value of 9.564e-09. If we set a threshold of 0.05, we see that the p-value is significant. This indicates that there is a statistically significant difference in average spike count between successful and unsuccessful trials. This tells us that average spike count is an indicator of success/failure, and should be included in our prediction model.

t_test_result <- t.test(avg_spike_count ~ feedback, data = results_df_allsessions, paired = FALSE)
print(t_test_result)
## 
##  Welch Two Sample t-test
## 
## data:  avg_spike_count by feedback
## t = -15.983, df = 30578, p-value < 2.2e-16
## alternative hypothesis: true difference in means between group -1 and group 1 is not equal to 0
## 95 percent confidence interval:
##  -0.2025863 -0.1583267
## sample estimates:
## mean in group -1  mean in group 1 
##         1.387089         1.567546

I also conducted a t-test on the entire dataset. Here, we also see a statistically difference in the means between the average spike counts of successful versus unsuccessful trials. This corroberates the previous t-test.

feedbacksummary_long <- feedback_summary %>%
  pivot_longer(cols = c(`-1`, `1`), names_to = "feedback", values_to = "value") 


print(feedbacksummary_long)
## # A tibble: 124 × 4
##    brain_area feedback_diff feedback value
##    <chr>              <dbl> <chr>    <dbl>
##  1 RN                 0.637 -1        7.81
##  2 RN                 0.637 1         8.45
##  3 MRN                0.510 -1        2.85
##  4 MRN                0.510 1         3.36
##  5 SCs                0.407 -1        1.51
##  6 SCs                0.407 1         1.92
##  7 PO                 0.403 -1        1.96
##  8 PO                 0.403 1         2.37
##  9 MB                 0.386 -1        2.02
## 10 MB                 0.386 1         2.40
## # ℹ 114 more rows
ggplot(results_df_allsessions, aes(x = factor(feedback), y = avg_spike_count, fill = factor(feedback))) + 
  geom_point() +  # Boxplot to show distribution
  stat_summary(fun = mean, geom = "point", size = 3, color = "red", shape = 18) +  # Mean points
  facet_wrap(~ mousename, scales = "free") +  # Separate plots for each brain area
  scale_fill_viridis_d(option = "plasma") +  # Color scale
  theme_minimal() +  # Cleaner theme
  labs(title = "Average Spike Count vs Feedback Type for Each Mouse",
       x = "Feedback Type",
       y = "Average Spike Count",
       fill = "Feedback") +  
  theme(axis.text.x = element_text(angle = 45, hjust = 1))  # Rotate x-axis labels for readability

ggplot(results_df_allsessions, aes(x=session, y=avg_spike_count)) + 
  geom_jitter(width = 0.2, height = 0, alpha = 0.5) +  # Jitter to reduce overlap
  stat_summary(fun = mean, geom = "point", size = 5, shape = 18, color = "red") +  # Larger black mean points
  scale_color_viridis_d(option = "plasma") +  # Better color scale
  theme_minimal() +  # Cleaner theme
  theme(axis.text.x = element_text(angle = 45, hjust = 1)) +  # Rotate x-axis labels
  labs(title = "Average Spike Count by Session",
       x = "Session",
       y = "Avg Spike Count")  # Clearer labels

Some sessions have a higher average spike count than others.

results_df_allsessions <- results_df_allsessions %>%
  group_by(session) %>%
  mutate(avg_spike_count_session_mean = mean(avg_spike_count, na.rm = TRUE))

results_df_allsessions <- results_df_allsessions %>%
  group_by(session, trial) %>%
  mutate(avg_spike_count_trial_mean = mean(avg_spike_count, na.rm = TRUE))

results_df_allsessions
## # A tibble: 49,173 × 11
## # Groups:   session, trial [5,081]
##    trial brain_area avg_spike_count session mousename feedback rightcontrast
##    <int> <chr>                <dbl>   <int> <chr>        <dbl>         <dbl>
##  1     1 ACA                  1.27        1 Cori             1           0.5
##  2     1 CA3                  1.53        1 Cori             1           0.5
##  3     1 DG                   2.32        1 Cori             1           0.5
##  4     1 LS                   1.94        1 Cori             1           0.5
##  5     1 MOs                  0.938       1 Cori             1           0.5
##  6     1 root                 0.5         1 Cori             1           0.5
##  7     1 SUB                  2.08        1 Cori             1           0.5
##  8     1 VISp                 1.69        1 Cori             1           0.5
##  9     2 ACA                  0.587       1 Cori             1           0  
## 10     2 CA3                  1.71        1 Cori             1           0  
## # ℹ 49,163 more rows
## # ℹ 4 more variables: leftcontrast <dbl>, contrastdiff <dbl>,
## #   avg_spike_count_session_mean <dbl>, avg_spike_count_trial_mean <dbl>
results_df_allsessions$feedback <- as.factor(results_df_allsessions$feedback)
results_df_allsessions$contrastdiff <- as.factor(results_df_allsessions$contrastdiff)

# Compute proportions
results_allsessions_summary <- results_df_allsessions %>%
  group_by(contrastdiff, feedback) %>%
  summarise(count = n(), .groups = "drop") %>%
  group_by(contrastdiff) %>%
  mutate(prop = count / sum(count))  # Normalize by contrastdiff

# Plot using proportions
ggplot(results_allsessions_summary, aes(x = contrastdiff, y = prop, fill = feedback)) +
  geom_bar(stat = "identity", position = "dodge") +
  labs(x = "Contrast Difference", y = "Proportion", fill = "Feedback") 

results_brainarea_summary <- results_df_allsessions %>%
  group_by(contrastdiff, feedback, brain_area) %>%
  summarise(count = n(), .groups = "drop") %>%
  group_by(contrastdiff, brain_area) %>%
  mutate(prop = count / sum(count))  # Normalize by contrastdiff

results_allsessions_summary
## # A tibble: 18 × 4
## # Groups:   contrastdiff [9]
##    contrastdiff feedback count  prop
##    <fct>        <fct>    <int> <dbl>
##  1 -1           -1         752 0.168
##  2 -1           1         3719 0.832
##  3 -0.75        -1        1214 0.291
##  4 -0.75        1         2951 0.709
##  5 -0.5         -1        1127 0.207
##  6 -0.5         1         4316 0.793
##  7 -0.25        -1        1165 0.356
##  8 -0.25        1         2111 0.644
##  9 0            -1        6152 0.380
## 10 0            1        10024 0.620
## 11 0.25         -1        1159 0.321
## 12 0.25         1         2450 0.679
## 13 0.5          -1        1167 0.252
## 14 0.5          1         3472 0.748
## 15 0.75         -1         647 0.216
## 16 0.75         1         2350 0.784
## 17 1            -1        1150 0.262
## 18 1            1         3247 0.738
results_brainarea_summary 
## # A tibble: 1,078 × 5
## # Groups:   contrastdiff, brain_area [558]
##    contrastdiff feedback brain_area count   prop
##    <fct>        <fct>    <chr>      <int>  <dbl>
##  1 -1           -1       ACA           12 0.154 
##  2 -1           -1       ACB            3 0.136 
##  3 -1           -1       AUD            4 0.211 
##  4 -1           -1       BLA            1 0.0333
##  5 -1           -1       CA1           63 0.209 
##  6 -1           -1       CA3           23 0.135 
##  7 -1           -1       CP             4 0.0615
##  8 -1           -1       DG            36 0.182 
##  9 -1           -1       GPe           22 0.210 
## 10 -1           -1       ILA            3 0.0909
## # ℹ 1,068 more rows
ggplot(results_brainarea_summary, aes(x = contrastdiff, y = prop, fill = feedback)) +
  geom_bar(stat = "identity", position = "dodge") + facet_wrap(~brain_area) +
  labs(x = "Contrast Difference", y = "Proportion", fill = "Feedback") 

results_mouse_summary <- results_df_allsessions %>%
  group_by(contrastdiff, feedback, mousename) %>%
  summarise(count = n(), .groups = "drop") %>%
  group_by(contrastdiff) %>%
  mutate(prop = count / sum(count))  # Normalize by contrastdiff

ggplot(results_mouse_summary, aes(x = contrastdiff, y = prop, fill = feedback)) +
  geom_bar(stat = "identity", position = "dodge") + facet_wrap(~mousename) +
  labs(x = "Contrast Difference", y = "Proportion", fill = "Feedback") 

df_diff <- results_allsessions_summary %>%
  group_by(contrastdiff) %>%
  summarise(prop_diff = diff(prop))  # Calculates difference between the two proportions

# Print the new dataframe
print(df_diff)
## # A tibble: 9 × 2
##   contrastdiff prop_diff
##   <fct>            <dbl>
## 1 -1               0.664
## 2 -0.75            0.417
## 3 -0.5             0.586
## 4 -0.25            0.289
## 5 0                0.239
## 6 0.25             0.358
## 7 0.5              0.497
## 8 0.75             0.568
## 9 1                0.477

This graph demonstrates that for large contrast trials, such as -1 or 1, there seems to be a larger proportion of successes (1) versus failures compared to low contrast trials (-1). This shows that contrast difference may be a good indicator of success. I will include this variable in my prediction model.

ggplot(df_diff, mapping=aes(x=contrastdiff, y=prop_diff)) + geom_col()

This graph demonstrates there is a larger difference between the proportion of successes (1) versus proportion of failures (-1) in groups whith higher absolute contrastdiff values (such as -1 or 1) than ones with low absolute contrastdiff values (0). This shows us that contrast values within a trial seem to be correlated with mouse success. I will plan on including contrast values within my prediction model.

contingency_table <- xtabs(count ~ contrastdiff + feedback, data = results_allsessions_summary)
print(contingency_table)
##             feedback
## contrastdiff    -1     1
##        -1      752  3719
##        -0.75  1214  2951
##        -0.5   1127  4316
##        -0.25  1165  2111
##        0      6152 10024
##        0.25   1159  2450
##        0.5    1167  3472
##        0.75    647  2350
##        1      1150  3247
# Chi-square test of independence
chi_square_result <- chisq.test(contingency_table)
print(chi_square_result)
## 
##  Pearson's Chi-squared test
## 
## data:  contingency_table
## X-squared = 1338.7, df = 8, p-value < 2.2e-16
# If you want to use Fisher's exact test (especially for small counts)
# Note: This might be computationally intensive for large tables
fisher_result <- fisher.test(contingency_table, simulate.p.value = TRUE, B = 10000)
print(fisher_result)
## 
##  Fisher's Exact Test for Count Data with simulated p-value (based on
##  10000 replicates)
## 
## data:  contingency_table
## p-value = 9.999e-05
## alternative hypothesis: two.sided
# Visualize the relationship
library(ggplot2)

# Convert to long format for proportion plotting
results_allsessions_summary$prop <- results_allsessions_summary$count / sum(results_allsessions_summary$count)

# Plot the proportions
ggplot(results_allsessions_summary, aes(x = contrastdiff, y = prop, fill = feedback)) +
  geom_bar(stat = "identity", position = "dodge") +
  labs(title = "Proportion by Contrast Difference and Feedback",
       x = "Contrast Difference",
       y = "Proportion") +
  theme_minimal()

I wanted to conduct a statistical test to see whether there was a statistically significant correlation between contrast difference and feedback type. I conducted a Chi Square Test of Independence and a Fisher Test of Indepenence. Both tests yielded p-values under 0.05, indicating that tere is a relationship between contrast difference and feedback type. Thus, this gives me evidence to include contrast difference, or a similar interaction variable between left and right contrast, into my prediction model.

ggplot(results_allsessions_summary, aes(x = contrastdiff, y = prop, fill = feedback)) +
  geom_bar(stat = "identity", position = "dodge") +
  labs(x = "Contrast Difference", y = "Proportion", fill = "Feedback")  + facet_wrap(~ feedback)

ggplot(results_df_allsessions, mapping=aes(x=contrastdiff, y=avg_spike_count)) + geom_jitter() + stat_summary(fun = mean, geom = "point", size = 1, shape = 18, color = "red") + facet_wrap(~ brain_area)

avg_spike_count_per_contrastdiff <- results_df_allsessions %>%
  group_by(contrastdiff, feedback) %>%
  summarise(mean_spike_count = mean(avg_spike_count, na.rm = TRUE)) 
## `summarise()` has grouped output by 'contrastdiff'. You can override using the
## `.groups` argument.
# Print the new dataframe
print(avg_spike_count_per_contrastdiff)
## # A tibble: 18 × 3
## # Groups:   contrastdiff [9]
##    contrastdiff feedback mean_spike_count
##    <fct>        <fct>               <dbl>
##  1 -1           -1                   1.06
##  2 -1           1                    1.58
##  3 -0.75        -1                   1.34
##  4 -0.75        1                    1.62
##  5 -0.5         -1                   1.28
##  6 -0.5         1                    1.63
##  7 -0.25        -1                   1.11
##  8 -0.25        1                    1.50
##  9 0            -1                   1.49
## 10 0            1                    1.39
## 11 0.25         -1                   1.27
## 12 0.25         1                    1.61
## 13 0.5          -1                   1.45
## 14 0.5          1                    1.66
## 15 0.75         -1                   1.39
## 16 0.75         1                    1.74
## 17 1            -1                   1.52
## 18 1            1                    1.78
ggplot(avg_spike_count_per_contrastdiff, aes(x = contrastdiff, y = mean_spike_count, group = feedback, color = feedback)) +
  geom_line() +
  geom_point() +
  facet_wrap(~ feedback) +  # Optional: facet by feedback for separate panels
  labs(title = "Mean Spike Count vs. Contrast Difference",
       x = "Contrast Difference",
       y = "Mean Spike Count")

ggplot(results_df_allsessions, mapping=aes(x=trial, y=avg_spike_count_trial_mean)) + geom_line() + facet_wrap(~session)

avg_spike_count_diff <- avg_spike_count_per_contrastdiff %>%
  group_by(contrastdiff) %>%
  summarise(mean_spike_diff = diff(mean_spike_count)) 

avg_spike_count_diff
## # A tibble: 9 × 2
##   contrastdiff mean_spike_diff
##   <fct>                  <dbl>
## 1 -1                     0.521
## 2 -0.75                  0.274
## 3 -0.5                   0.344
## 4 -0.25                  0.386
## 5 0                     -0.107
## 6 0.25                   0.345
## 7 0.5                    0.216
## 8 0.75                   0.349
## 9 1                      0.258
ggplot(avg_spike_count_diff, mapping=aes(x=contrastdiff, y=mean_spike_diff)) + geom_col()

I now want to conduct PCA on the average spike data for each session. I want to do this in order to reduce the number of dimensions needed to account for brain area spike count data.

# Create a function to analyze a single session
analyze_session_pca <- function(session_data, session_id) {
  # First check if spks has elements
  if (length(session_data$spks) == 0) {
    cat("Session", session_id, ": The spks list is empty\n")
    return(list(success = FALSE, message = "The spks list is empty"))
  } 
  
  # Check if any elements have length > 0
  element_lengths <- sapply(session_data$spks, length)
  
  if (all(element_lengths == 0)) {
    cat("Session", session_id, ": All elements in spks are empty\n")
    return(list(success = FALSE, message = "All elements in spks are empty"))
  } 
  
  cat("Session", session_id, ": Found non-empty elements in spks. Continuing with matrix creation...\n")
  
  # Proceed with the original code
  n_trials <- length(session_data$spks)
  max_length <- max(element_lengths)
  
  cat("  Number of trials:", n_trials, "\n")
  cat("  Max length of spike vectors:", max_length, "\n")
  
  spike_matrix <- matrix(0, nrow = n_trials, ncol = max_length)
  
  # Fill the matrix with spike data - more robustly
  for (i in 1:n_trials) {
    if (length(session_data$spks[[i]]) > 0) {
      spk_data <- session_data$spks[[i]]
      spike_matrix[i, 1:length(spk_data)] <- spk_data
    }
  }
  
  # Check if the matrix has any non-zero values
  if (all(spike_matrix == 0)) {
    cat("  Warning: Spike matrix contains only zeros\n")
    return(list(success = FALSE, message = "Spike matrix contains only zeros"))
  }
  
  # Check column variances
  col_vars <- apply(spike_matrix, 2, var)
  non_zero_vars <- sum(col_vars > 0)
  
  cat("  Columns with non-zero variance:", non_zero_vars, "out of", ncol(spike_matrix), "\n")
  
  if (non_zero_vars >= 2) {
    # Keep only columns with variance
    spike_matrix_filtered <- spike_matrix[, col_vars > 0, drop = FALSE]
    cat("  Running PCA on filtered matrix with dimensions:", dim(spike_matrix_filtered), "\n")
    
    # Run PCA
    tryCatch({
      pca_result <- prcomp(spike_matrix_filtered, scale = TRUE)
      
      # Calculate variance explained
      var_explained <- pca_result$sdev^2 / sum(pca_result$sdev^2)
      cumulative_var <- cumsum(var_explained)
      
      # Number of PCs for different thresholds
      pcs_90 <- min(which(cumulative_var >= 0.9))
      if (is.infinite(pcs_90)) pcs_90 <- length(var_explained)
      
      pcs_95 <- min(which(cumulative_var >= 0.95))
      if (is.infinite(pcs_95)) pcs_95 <- length(var_explained)
      
      pcs_99 <- min(which(cumulative_var >= 0.99))
      if (is.infinite(pcs_99)) pcs_99 <- length(var_explained)
      
      pcs_100 <- length(var_explained)
      
      cat("  PCs for 90% variance:", pcs_90, "\n")
      cat("  PCs for 95% variance:", pcs_95, "\n")
      cat("  PCs for 99% variance:", pcs_99, "\n")
      cat("  PCs for 100% variance:", pcs_100, "\n")
      
      return(list(
        success = TRUE,
        session_id = session_id,
        n_trials = n_trials,
        n_features = non_zero_vars,
        pcs_90 = pcs_90,
        pcs_95 = pcs_95,
        pcs_99 = pcs_99,
        pcs_100 = pcs_100,
        var_explained = var_explained
      ))
    }, error = function(e) {
      cat("  Error in PCA:", e$message, "\n")
      return(list(success = FALSE, message = paste("Error in PCA:", e$message)))
    })
  } else {
    cat("  Not enough columns with variance for PCA\n")
    return(list(success = FALSE, message = "Not enough columns with variance for PCA"))
  }
}

# Process all 18 sessions
results <- list()
for (i in 1:18) {
  cat("\nAnalyzing session", i, "\n")
  
  # Check if session exists
  if (exists(paste0("session", i)) || exists("session") && length(session) >= i) {
    # Get the correct session data
    if (exists(paste0("session", i))) {
      session_data <- get(paste0("session", i))
    } else {
      session_data <- session[[i]]
    }
    
    # Analyze the session
    result <- analyze_session_pca(session_data, i)
    results[[as.character(i)]] <- result
  } else {
    cat("Session", i, "data not found\n")
    results[[as.character(i)]] <- list(success = FALSE, message = "Session data not found")
  }
}

# Create summary table
summary_table <- data.frame(
  Session = integer(),
  NumTrials = integer(),
  NumFeatures = integer(),
  PCs_90_percent = integer(),
  PCs_95_percent = integer(),
  PCs_99_percent = integer(),
  PCs_100_percent = integer()
)

for (session_id in names(results)) {
  result <- results[[session_id]]
  if (result$success) {
    summary_table <- rbind(summary_table, data.frame(
      Session = as.integer(session_id),
      NumTrials = result$n_trials,
      NumFeatures = result$n_features,
      PCs_90_percent = result$pcs_90,
      PCs_95_percent = result$pcs_95,
      PCs_99_percent = result$pcs_99,
      PCs_100_percent = result$pcs_100
    ))
  } else {
    # Add a row with NA values for failed sessions
    summary_table <- rbind(summary_table, data.frame(
      Session = as.integer(session_id),
      NumTrials = NA,
      NumFeatures = NA,
      PCs_90_percent = NA,
      PCs_95_percent = NA,
      PCs_99_percent = NA,
      PCs_100_percent = NA
    ))
  }
}

# Sort by session and print
summary_table <- summary_table[order(summary_table$Session), ]
print(summary_table)

# Calculate percentage of features needed
summary_table$Percent_PCs_90 <- (summary_table$PCs_90_percent / summary_table$NumFeatures) * 100
summary_table$Percent_PCs_95 <- (summary_table$PCs_95_percent / summary_table$NumFeatures) * 100
summary_table$Percent_PCs_99 <- (summary_table$PCs_99_percent / summary_table$NumFeatures) * 100
summary_table$Percent_PCs_100 <- (summary_table$PCs_100_percent / summary_table$NumFeatures) * 100

# Print average percentages (excluding NAs)
cat("\nAverage percentage of features needed:\n")
cat("For 90% variance:", mean(summary_table$Percent_PCs_90, na.rm = TRUE), "%\n")
cat("For 95% variance:", mean(summary_table$Percent_PCs_95, na.rm = TRUE), "%\n")
cat("For 99% variance:", mean(summary_table$Percent_PCs_99, na.rm = TRUE), "%\n")
cat("For 100% variance:", mean(summary_table$Percent_PCs_100, na.rm = TRUE), "%\n")

Given that each session contains data from a different number of neurons, and these neurons come from varying brain areas, each session has a varying number of PCs needed to explain 90% of the total variance of their datasets. Because of this, I wanted to attempt bootstraping to standardize the number of PCs needed to explain 90% of the variance. I wanted to do this because I want to include a set number of PCs into my prediction model. However, just choosing a set number of PCs without bootstrapping beforehand would result in different amounts of variance of each session being encompassed by the prediction model. I have included the code that I tried to use to do bootstrapping, but it was not successful. If given more time, I would have tried to troubleshoot this.

Another method I thought to deal with the problem of a varying number of PCs per session is to randomly select 114 trials of each session in order to standardize the number of PCs per session. This theoretically should encompass the variability within each session as long as the sample size of 114 is large enough.

# Create a function to analyze a single session with random sampling
analyze_session_pca <- function(session_data, session_id, sample_size = 114) {
  # First check if spks has elements
  if (length(session_data$spks) == 0) {
    cat("Session", session_id, ": The spks list is empty\n")
    return(list(success = FALSE, message = "The spks list is empty"))
  } 
  
  # Check if any elements have length > 0
  element_lengths <- sapply(session_data$spks, length)
  
  if (all(element_lengths == 0)) {
    cat("Session", session_id, ": All elements in spks are empty\n")
    return(list(success = FALSE, message = "All elements in spks are empty"))
  } 
  
  # Check if we have enough trials for sampling
  n_trials <- length(session_data$spks)
  if (n_trials < sample_size) {
    cat("Session", session_id, ": Not enough trials for sampling (", n_trials, " < ", sample_size, ")\n")
    return(list(success = FALSE, message = paste("Not enough trials for sampling:", n_trials, "<", sample_size)))
  }
  
  cat("Session", session_id, ": Found non-empty elements in spks. Continuing with matrix creation...\n")
  
  # Randomly sample trials
  set.seed(42 + session_id)  # Set seed for reproducibility, different for each session
  sampled_indices <- sample(1:n_trials, sample_size)
  
  cat("  Randomly sampled", sample_size, "trials from", n_trials, "total trials\n")
  
  # Get element lengths for sampled trials
  sampled_element_lengths <- element_lengths[sampled_indices]
  max_length <- max(sampled_element_lengths)
  
  cat("  Max length of spike vectors in sample:", max_length, "\n")
  
  spike_matrix <- matrix(0, nrow = sample_size, ncol = max_length)
  
  # Fill the matrix with spike data - more robustly
  for (i in 1:sample_size) {
    original_idx <- sampled_indices[i]
    if (length(session_data$spks[[original_idx]]) > 0) {
      spk_data <- session_data$spks[[original_idx]]
      spike_matrix[i, 1:length(spk_data)] <- spk_data
    }
  }
  
  # Check if the matrix has any non-zero values
  if (all(spike_matrix == 0)) {
    cat("  Warning: Spike matrix contains only zeros\n")
    return(list(success = FALSE, message = "Spike matrix contains only zeros"))
  }
  
  # Check column variances
  col_vars <- apply(spike_matrix, 2, var)
  non_zero_vars <- sum(col_vars > 0)
  
  cat("  Columns with non-zero variance:", non_zero_vars, "out of", ncol(spike_matrix), "\n")
  
  if (non_zero_vars >= 2) {
    # Keep only columns with variance
    spike_matrix_filtered <- spike_matrix[, col_vars > 0, drop = FALSE]
    cat("  Running PCA on filtered matrix with dimensions:", dim(spike_matrix_filtered), "\n")
    
    # Run PCA
    tryCatch({
      pca_result <- prcomp(spike_matrix_filtered, scale = TRUE)
      
      # Calculate variance explained
      var_explained <- pca_result$sdev^2 / sum(pca_result$sdev^2)
      cumulative_var <- cumsum(var_explained)
      
      # Number of PCs for different thresholds
      pcs_90 <- min(which(cumulative_var >= 0.9))
      if (is.infinite(pcs_90)) pcs_90 <- length(var_explained)
      
      pcs_95 <- min(which(cumulative_var >= 0.95))
      if (is.infinite(pcs_95)) pcs_95 <- length(var_explained)
      
      pcs_99 <- min(which(cumulative_var >= 0.99))
      if (is.infinite(pcs_99)) pcs_99 <- length(var_explained)
      
      pcs_100 <- length(var_explained)
      
      cat("  PCs for 90% variance:", pcs_90, "\n")
      cat("  PCs for 95% variance:", pcs_95, "\n")
      cat("  PCs for 99% variance:", pcs_99, "\n")
      cat("  PCs for 100% variance:", pcs_100, "\n")
      
      # Extract variance explained by PC1 to PC10 (or as many as available)
      var_pc1_10 <- numeric(10)
      max_pcs <- min(10, length(var_explained))
      var_pc1_10[1:max_pcs] <- var_explained[1:max_pcs] * 100  # Convert to percentage
      
      return(list(
        success = TRUE,
        session_id = session_id,
        n_trials = sample_size,
        original_n_trials = n_trials,
        n_features = non_zero_vars,
        pcs_90 = pcs_90,
        pcs_95 = pcs_95,
        pcs_99 = pcs_99,
        pcs_100 = pcs_100,
        var_explained = var_explained,
        var_pc1_10 = var_pc1_10
      ))
    }, error = function(e) {
      cat("  Error in PCA:", e$message, "\n")
      return(list(success = FALSE, message = paste("Error in PCA:", e$message)))
    })
  } else {
    cat("  Not enough columns with variance for PCA\n")
    return(list(success = FALSE, message = "Not enough columns with variance for PCA"))
  }
}

# Process all 18 sessions
results <- list()
for (i in 1:18) {
  cat("\nAnalyzing session", i, "\n")
  
  # Check if session exists
  if (exists(paste0("session", i)) || exists("session") && length(session) >= i) {
    # Get the correct session data
    if (exists(paste0("session", i))) {
      session_data <- get(paste0("session", i))
    } else {
      session_data <- session[[i]]
    }
    
    # Analyze the session with 114 sampled trials
    result <- analyze_session_pca(session_data, i, sample_size = 114)
    results[[as.character(i)]] <- result
  } else {
    cat("Session", i, "data not found\n")
    results[[as.character(i)]] <- list(success = FALSE, message = "Session data not found")
  }
}
## 
## Analyzing session 1 
## Session 1 : Found non-empty elements in spks. Continuing with matrix creation...
##   Randomly sampled 114 trials from 114 total trials
##   Max length of spike vectors in sample: 29360 
##   Columns with non-zero variance: 20245 out of 29360 
##   Running PCA on filtered matrix with dimensions: 114 20245 
##   PCs for 90% variance: 98 
##   PCs for 95% variance: 105 
##   PCs for 99% variance: 112 
##   PCs for 100% variance: 114 
## 
## Analyzing session 2 
## Session 2 : Found non-empty elements in spks. Continuing with matrix creation...
##   Randomly sampled 114 trials from 251 total trials
##   Max length of spike vectors in sample: 42800 
##   Columns with non-zero variance: 29052 out of 42800 
##   Running PCA on filtered matrix with dimensions: 114 29052 
##   PCs for 90% variance: 99 
##   PCs for 95% variance: 106 
##   PCs for 99% variance: 112 
##   PCs for 100% variance: 114 
## 
## Analyzing session 3 
## Session 3 : Found non-empty elements in spks. Continuing with matrix creation...
##   Randomly sampled 114 trials from 228 total trials
##   Max length of spike vectors in sample: 24760 
##   Columns with non-zero variance: 16260 out of 24760 
##   Running PCA on filtered matrix with dimensions: 114 16260 
##   PCs for 90% variance: 99 
##   PCs for 95% variance: 106 
##   PCs for 99% variance: 112 
##   PCs for 100% variance: 114 
## 
## Analyzing session 4 
## Session 4 : Found non-empty elements in spks. Continuing with matrix creation...
##   Randomly sampled 114 trials from 249 total trials
##   Max length of spike vectors in sample: 70760 
##   Columns with non-zero variance: 42655 out of 70760 
##   Running PCA on filtered matrix with dimensions: 114 42655 
##   PCs for 90% variance: 98 
##   PCs for 95% variance: 106 
##   PCs for 99% variance: 112 
##   PCs for 100% variance: 114 
## 
## Analyzing session 5 
## Session 5 : Found non-empty elements in spks. Continuing with matrix creation...
##   Randomly sampled 114 trials from 254 total trials
##   Max length of spike vectors in sample: 43080 
##   Columns with non-zero variance: 25561 out of 43080 
##   Running PCA on filtered matrix with dimensions: 114 25561 
##   PCs for 90% variance: 96 
##   PCs for 95% variance: 104 
##   PCs for 99% variance: 112 
##   PCs for 100% variance: 114 
## 
## Analyzing session 6 
## Session 6 : Found non-empty elements in spks. Continuing with matrix creation...
##   Randomly sampled 114 trials from 290 total trials
##   Max length of spike vectors in sample: 46760 
##   Columns with non-zero variance: 25253 out of 46760 
##   Running PCA on filtered matrix with dimensions: 114 25253 
##   PCs for 90% variance: 98 
##   PCs for 95% variance: 105 
##   PCs for 99% variance: 112 
##   PCs for 100% variance: 114 
## 
## Analyzing session 7 
## Session 7 : Found non-empty elements in spks. Continuing with matrix creation...
##   Randomly sampled 114 trials from 252 total trials
##   Max length of spike vectors in sample: 23360 
##   Columns with non-zero variance: 14743 out of 23360 
##   Running PCA on filtered matrix with dimensions: 114 14743 
##   PCs for 90% variance: 97 
##   PCs for 95% variance: 105 
##   PCs for 99% variance: 111 
##   PCs for 100% variance: 114 
## 
## Analyzing session 8 
## Session 8 : Found non-empty elements in spks. Continuing with matrix creation...
##   Randomly sampled 114 trials from 250 total trials
##   Max length of spike vectors in sample: 46280 
##   Columns with non-zero variance: 31628 out of 46280 
##   Running PCA on filtered matrix with dimensions: 114 31628 
##   PCs for 90% variance: 98 
##   PCs for 95% variance: 105 
##   PCs for 99% variance: 112 
##   PCs for 100% variance: 114 
## 
## Analyzing session 9 
## Session 9 : Found non-empty elements in spks. Continuing with matrix creation...
##   Randomly sampled 114 trials from 372 total trials
##   Max length of spike vectors in sample: 31520 
##   Columns with non-zero variance: 19825 out of 31520 
##   Running PCA on filtered matrix with dimensions: 114 19825 
##   PCs for 90% variance: 99 
##   PCs for 95% variance: 106 
##   PCs for 99% variance: 112 
##   PCs for 100% variance: 114 
## 
## Analyzing session 10 
## Session 10 : Found non-empty elements in spks. Continuing with matrix creation...
##   Randomly sampled 114 trials from 447 total trials
##   Max length of spike vectors in sample: 46880 
##   Columns with non-zero variance: 26450 out of 46880 
##   Running PCA on filtered matrix with dimensions: 114 26450 
##   PCs for 90% variance: 97 
##   PCs for 95% variance: 105 
##   PCs for 99% variance: 111 
##   PCs for 100% variance: 114 
## 
## Analyzing session 11 
## Session 11 : Found non-empty elements in spks. Continuing with matrix creation...
##   Randomly sampled 114 trials from 342 total trials
##   Max length of spike vectors in sample: 34280 
##   Columns with non-zero variance: 18527 out of 34280 
##   Running PCA on filtered matrix with dimensions: 114 18527 
##   PCs for 90% variance: 93 
##   PCs for 95% variance: 102 
##   PCs for 99% variance: 111 
##   PCs for 100% variance: 114 
## 
## Analyzing session 12 
## Session 12 : Found non-empty elements in spks. Continuing with matrix creation...
##   Randomly sampled 114 trials from 340 total trials
##   Max length of spike vectors in sample: 27920 
##   Columns with non-zero variance: 17825 out of 27920 
##   Running PCA on filtered matrix with dimensions: 114 17825 
##   PCs for 90% variance: 99 
##   PCs for 95% variance: 106 
##   PCs for 99% variance: 112 
##   PCs for 100% variance: 114 
## 
## Analyzing session 13 
## Session 13 : Found non-empty elements in spks. Continuing with matrix creation...
##   Randomly sampled 114 trials from 300 total trials
##   Max length of spike vectors in sample: 39320 
##   Columns with non-zero variance: 29070 out of 39320 
##   Running PCA on filtered matrix with dimensions: 114 29070 
##   PCs for 90% variance: 99 
##   PCs for 95% variance: 106 
##   PCs for 99% variance: 112 
##   PCs for 100% variance: 114 
## 
## Analyzing session 14 
## Session 14 : Found non-empty elements in spks. Continuing with matrix creation...
##   Randomly sampled 114 trials from 268 total trials
##   Max length of spike vectors in sample: 30240 
##   Columns with non-zero variance: 16406 out of 30240 
##   Running PCA on filtered matrix with dimensions: 114 16406 
##   PCs for 90% variance: 99 
##   PCs for 95% variance: 106 
##   PCs for 99% variance: 112 
##   PCs for 100% variance: 114 
## 
## Analyzing session 15 
## Session 15 : Found non-empty elements in spks. Continuing with matrix creation...
##   Randomly sampled 114 trials from 404 total trials
##   Max length of spike vectors in sample: 29720 
##   Columns with non-zero variance: 19894 out of 29720 
##   Running PCA on filtered matrix with dimensions: 114 19894 
##   PCs for 90% variance: 99 
##   PCs for 95% variance: 106 
##   PCs for 99% variance: 112 
##   PCs for 100% variance: 114 
## 
## Analyzing session 16 
## Session 16 : Found non-empty elements in spks. Continuing with matrix creation...
##   Randomly sampled 114 trials from 280 total trials
##   Max length of spike vectors in sample: 18960 
##   Columns with non-zero variance: 11637 out of 18960 
##   Running PCA on filtered matrix with dimensions: 114 11637 
##   PCs for 90% variance: 97 
##   PCs for 95% variance: 105 
##   PCs for 99% variance: 112 
##   PCs for 100% variance: 114 
## 
## Analyzing session 17 
## Session 17 : Found non-empty elements in spks. Continuing with matrix creation...
##   Randomly sampled 114 trials from 224 total trials
##   Max length of spike vectors in sample: 22600 
##   Columns with non-zero variance: 13948 out of 22600 
##   Running PCA on filtered matrix with dimensions: 114 13948 
##   PCs for 90% variance: 98 
##   PCs for 95% variance: 105 
##   PCs for 99% variance: 112 
##   PCs for 100% variance: 114 
## 
## Analyzing session 18 
## Session 18 : Found non-empty elements in spks. Continuing with matrix creation...
##   Randomly sampled 114 trials from 216 total trials
##   Max length of spike vectors in sample: 43600 
##   Columns with non-zero variance: 24880 out of 43600 
##   Running PCA on filtered matrix with dimensions: 114 24880 
##   PCs for 90% variance: 98 
##   PCs for 95% variance: 105 
##   PCs for 99% variance: 112 
##   PCs for 100% variance: 114
# Create summary table
summary_table <- data.frame(
  Session = integer(),
  NumTrials = integer(),
  OriginalNumTrials = integer(),
  NumFeatures = integer(),
  PCs_90_percent = integer(),
  PCs_95_percent = integer(),
  PCs_99_percent = integer(),
  PCs_100_percent = integer(),
  # Add columns for variance explained by PC1-PC10
  PC1_var = numeric(),
  PC2_var = numeric(),
  PC3_var = numeric(),
  PC4_var = numeric(),
  PC5_var = numeric(),
  PC6_var = numeric(),
  PC7_var = numeric(),
  PC8_var = numeric(),
  PC9_var = numeric(),
  PC10_var = numeric()
)

for (session_id in names(results)) {
  result <- results[[session_id]]
  if (result$success) {
    # Create a row with basic data
    row_data <- data.frame(
      Session = as.integer(session_id),
      NumTrials = result$n_trials,
      OriginalNumTrials = result$original_n_trials,
      NumFeatures = result$n_features,
      PCs_90_percent = result$pcs_90,
      PCs_95_percent = result$pcs_95,
      PCs_99_percent = result$pcs_99,
      PCs_100_percent = result$pcs_100
    )
    
    # Add PC1-PC10 variance explained columns
    for (i in 1:10) {
      pc_col_name <- paste0("PC", i, "_var")
      row_data[[pc_col_name]] <- result$var_pc1_10[i]
    }
    
    # Add to summary table
    summary_table <- rbind(summary_table, row_data)
  } else {
    # Add a row with NA values for failed sessions
    row_data <- data.frame(
      Session = as.integer(session_id),
      NumTrials = NA,
      OriginalNumTrials = NA,
      NumFeatures = NA,
      PCs_90_percent = NA,
      PCs_95_percent = NA,
      PCs_99_percent = NA,
      PCs_100_percent = NA
    )
    
    # Add NA for PC1-PC10 variance columns
    for (i in 1:10) {
      pc_col_name <- paste0("PC", i, "_var")
      row_data[[pc_col_name]] <- NA
    }
    
    # Add to summary table
    summary_table <- rbind(summary_table, row_data)
  }
}

# Sort by session and print
summary_table <- summary_table[order(summary_table$Session), ]
print(summary_table)
##    Session NumTrials OriginalNumTrials NumFeatures PCs_90_percent
## 1        1       114               114       20245             98
## 2        2       114               251       29052             99
## 3        3       114               228       16260             99
## 4        4       114               249       42655             98
## 5        5       114               254       25561             96
## 6        6       114               290       25253             98
## 7        7       114               252       14743             97
## 8        8       114               250       31628             98
## 9        9       114               372       19825             99
## 10      10       114               447       26450             97
## 11      11       114               342       18527             93
## 12      12       114               340       17825             99
## 13      13       114               300       29070             99
## 14      14       114               268       16406             99
## 15      15       114               404       19894             99
## 16      16       114               280       11637             97
## 17      17       114               224       13948             98
## 18      18       114               216       24880             98
##    PCs_95_percent PCs_99_percent PCs_100_percent  PC1_var  PC2_var  PC3_var
## 1             105            112             114 1.779953 1.489777 1.360129
## 2             106            112             114 1.412653 1.319206 1.238637
## 3             106            112             114 1.523506 1.248789 1.191229
## 4             106            112             114 2.045992 1.638375 1.594623
## 5             104            112             114 1.578848 1.396761 1.334217
## 6             105            112             114 1.828749 1.538308 1.503184
## 7             105            111             114 1.606135 1.525454 1.476530
## 8             105            112             114 1.817687 1.323690 1.291326
## 9             106            112             114 1.508592 1.284582 1.267540
## 10            105            111             114 1.626179 1.402234 1.385251
## 11            102            111             114 2.524052 1.601526 1.527329
## 12            106            112             114 1.359262 1.334796 1.261916
## 13            106            112             114 1.540985 1.376574 1.278584
## 14            106            112             114 1.478728 1.324445 1.275598
## 15            106            112             114 1.569944 1.251698 1.193416
## 16            105            112             114 1.671487 1.611873 1.440631
## 17            105            112             114 1.563724 1.433467 1.309549
## 18            105            112             114 1.841076 1.574841 1.457821
##     PC4_var  PC5_var  PC6_var  PC7_var  PC8_var  PC9_var PC10_var
## 1  1.297396 1.219465 1.197312 1.188699 1.170753 1.157516 1.150384
## 2  1.219698 1.170271 1.143013 1.132157 1.125638 1.111366 1.101956
## 3  1.151488 1.140475 1.128939 1.121573 1.107861 1.092161 1.078884
## 4  1.456757 1.400045 1.391371 1.279732 1.217994 1.192211 1.164356
## 5  1.306999 1.284255 1.252626 1.226068 1.217555 1.209375 1.197608
## 6  1.359873 1.263691 1.222975 1.215187 1.202718 1.183915 1.168238
## 7  1.391132 1.375986 1.314003 1.286667 1.270604 1.252592 1.218452
## 8  1.256629 1.232262 1.221440 1.209255 1.199867 1.186113 1.179630
## 9  1.236511 1.198079 1.149763 1.123830 1.117309 1.095387 1.078011
## 10 1.367709 1.345614 1.254867 1.225793 1.207110 1.180358 1.154347
## 11 1.474568 1.444036 1.416267 1.402591 1.379047 1.367194 1.356399
## 12 1.204777 1.168579 1.152164 1.141098 1.128389 1.124143 1.101141
## 13 1.244693 1.183343 1.173702 1.115050 1.095916 1.082879 1.074838
## 14 1.248091 1.235812 1.199578 1.180375 1.145887 1.129307 1.124602
## 15 1.184412 1.114193 1.097269 1.073349 1.067567 1.061790 1.055905
## 16 1.326668 1.278838 1.235271 1.218880 1.197510 1.174195 1.167343
## 17 1.224394 1.192557 1.159807 1.147254 1.143114 1.130719 1.123963
## 18 1.402225 1.364637 1.331605 1.236571 1.201135 1.145590 1.119348
# Calculate percentage of features needed
summary_table$Percent_PCs_90 <- (summary_table$PCs_90_percent / summary_table$NumFeatures) * 100
summary_table$Percent_PCs_95 <- (summary_table$PCs_95_percent / summary_table$NumFeatures) * 100
summary_table$Percent_PCs_99 <- (summary_table$PCs_99_percent / summary_table$NumFeatures) * 100
summary_table$Percent_PCs_100 <- (summary_table$PCs_100_percent / summary_table$NumFeatures) * 100

# Print average percentages (excluding NAs)
cat("\nAverage percentage of features needed:\n")
## 
## Average percentage of features needed:
cat("For 90% variance:", mean(summary_table$Percent_PCs_90, na.rm = TRUE), "%\n")
## For 90% variance: 0.4827795 %
cat("For 95% variance:", mean(summary_table$Percent_PCs_95, na.rm = TRUE), "%\n")
## For 95% variance: 0.5193514 %
cat("For 99% variance:", mean(summary_table$Percent_PCs_99, na.rm = TRUE), "%\n")
## For 99% variance: 0.5520778 %
cat("For 100% variance:", mean(summary_table$Percent_PCs_100, na.rm = TRUE), "%\n")
## For 100% variance: 0.5628389 %
# Calculate consistency across sessions
cat("\nConsistent PC counts across sessions:\n")
## 
## Consistent PC counts across sessions:
cat("For 90% variance:", max(summary_table$PCs_90_percent, na.rm = TRUE), "\n")
## For 90% variance: 99
cat("For 95% variance:", max(summary_table$PCs_95_percent, na.rm = TRUE), "\n")
## For 95% variance: 106
cat("For 99% variance:", max(summary_table$PCs_99_percent, na.rm = TRUE), "\n")
## For 99% variance: 112
cat("For 100% variance:", max(summary_table$PCs_100_percent, na.rm = TRUE), "\n")
## For 100% variance: 114
# Calculate average variance explained by each PC
cat("\nAverage variance explained by each PC:\n")
## 
## Average variance explained by each PC:
for (i in 1:10) {
  pc_col_name <- paste0("PC", i, "_var")
  avg_var <- mean(summary_table[[pc_col_name]], na.rm = TRUE)
  cat(paste0("PC", i, ": ", round(avg_var, 2), "%\n"))
}
## PC1: 1.68%
## PC2: 1.43%
## PC3: 1.35%
## PC4: 1.3%
## PC5: 1.26%
## PC6: 1.22%
## PC7: 1.2%
## PC8: 1.18%
## PC9: 1.16%
## PC10: 1.15%
# Create a more readable table with just PC variance information
pc_variance_table <- summary_table[, c("Session", paste0("PC", 1:10, "_var"))]

# Print this table
cat("\nVariance explained by PC1-PC10 for each session:\n")
## 
## Variance explained by PC1-PC10 for each session:
print(pc_variance_table)
##    Session  PC1_var  PC2_var  PC3_var  PC4_var  PC5_var  PC6_var  PC7_var
## 1        1 1.779953 1.489777 1.360129 1.297396 1.219465 1.197312 1.188699
## 2        2 1.412653 1.319206 1.238637 1.219698 1.170271 1.143013 1.132157
## 3        3 1.523506 1.248789 1.191229 1.151488 1.140475 1.128939 1.121573
## 4        4 2.045992 1.638375 1.594623 1.456757 1.400045 1.391371 1.279732
## 5        5 1.578848 1.396761 1.334217 1.306999 1.284255 1.252626 1.226068
## 6        6 1.828749 1.538308 1.503184 1.359873 1.263691 1.222975 1.215187
## 7        7 1.606135 1.525454 1.476530 1.391132 1.375986 1.314003 1.286667
## 8        8 1.817687 1.323690 1.291326 1.256629 1.232262 1.221440 1.209255
## 9        9 1.508592 1.284582 1.267540 1.236511 1.198079 1.149763 1.123830
## 10      10 1.626179 1.402234 1.385251 1.367709 1.345614 1.254867 1.225793
## 11      11 2.524052 1.601526 1.527329 1.474568 1.444036 1.416267 1.402591
## 12      12 1.359262 1.334796 1.261916 1.204777 1.168579 1.152164 1.141098
## 13      13 1.540985 1.376574 1.278584 1.244693 1.183343 1.173702 1.115050
## 14      14 1.478728 1.324445 1.275598 1.248091 1.235812 1.199578 1.180375
## 15      15 1.569944 1.251698 1.193416 1.184412 1.114193 1.097269 1.073349
## 16      16 1.671487 1.611873 1.440631 1.326668 1.278838 1.235271 1.218880
## 17      17 1.563724 1.433467 1.309549 1.224394 1.192557 1.159807 1.147254
## 18      18 1.841076 1.574841 1.457821 1.402225 1.364637 1.331605 1.236571
##     PC8_var  PC9_var PC10_var
## 1  1.170753 1.157516 1.150384
## 2  1.125638 1.111366 1.101956
## 3  1.107861 1.092161 1.078884
## 4  1.217994 1.192211 1.164356
## 5  1.217555 1.209375 1.197608
## 6  1.202718 1.183915 1.168238
## 7  1.270604 1.252592 1.218452
## 8  1.199867 1.186113 1.179630
## 9  1.117309 1.095387 1.078011
## 10 1.207110 1.180358 1.154347
## 11 1.379047 1.367194 1.356399
## 12 1.128389 1.124143 1.101141
## 13 1.095916 1.082879 1.074838
## 14 1.145887 1.129307 1.124602
## 15 1.067567 1.061790 1.055905
## 16 1.197510 1.174195 1.167343
## 17 1.143114 1.130719 1.123963
## 18 1.201135 1.145590 1.119348

I will now progress with my prediction model by using 114 PCs. I am now adding the PCs into the overall dataframe I am using for prediction.

# After running your PCA analysis and generating the 'results' list
# This code will append PC values to results_df_allsessions

# First, let's see how many PCs we need to extract from each session
max_pcs <- 114  # Number of PC columns to create

# Create a function to extract PC scores from a session's PCA result
extract_pc_scores <- function(session_id, pca_result, max_pcs) {
  # Check if the PCA was successful
  if (!pca_result$success) {
    return(NULL)
  }
  
  # Get the original spike matrix and apply PCA transformation
  session_data <- if (exists(paste0("session", session_id))) {
    get(paste0("session", session_id))
  } else {
    session[[session_id]]
  }
  
  # Get the sampled indices used for PCA
  set.seed(42 + session_id)  # Same seed used in the analysis
  n_trials <- length(session_data$spks)
  sampled_indices <- sample(1:n_trials, min(114, n_trials))
  
  # Recreate the spike matrix
  element_lengths <- sapply(session_data$spks, length)
  sampled_element_lengths <- element_lengths[sampled_indices]
  max_length <- max(sampled_element_lengths)
  
  spike_matrix <- matrix(0, nrow = length(sampled_indices), ncol = max_length)
  for (i in 1:length(sampled_indices)) {
    original_idx <- sampled_indices[i]
    if (length(session_data$spks[[original_idx]]) > 0) {
      spk_data <- session_data$spks[[original_idx]]
      spike_matrix[i, 1:length(spk_data)] <- spk_data
    }
  }
  
  # Filter columns with zero variance
  col_vars <- apply(spike_matrix, 2, var)
  spike_matrix_filtered <- spike_matrix[, col_vars > 0, drop = FALSE]
  
  # Apply PCA transformation
  pca_obj <- prcomp(spike_matrix_filtered, scale = TRUE)
  pc_scores <- pca_obj$x
  
  # Create a data frame with PC scores
  pc_df <- as.data.frame(pc_scores)
  
  # If we have fewer PCs than max_pcs, fill the rest with NA
  if (ncol(pc_df) < max_pcs) {
    for (i in (ncol(pc_df) + 1):max_pcs) {
      pc_df[[paste0("PC", i)]] <- NA
    }
  }
  
  # Limit to max_pcs columns
  pc_df <- pc_df[, 1:max_pcs]
  
  # Add session identifier
  pc_df$session_id <- session_id
  
  # Add trial identifier - these match the original trial indices
  pc_df$trial_idx <- sampled_indices
  
  return(pc_df)
}

# Extract PC scores for each session
pc_scores_list <- list()
for (i in 1:18) {
  if (names(results)[i] == as.character(i) && results[[i]]$success) {
    pc_scores <- extract_pc_scores(i, results[[i]], max_pcs)
    if (!is.null(pc_scores)) {
      pc_scores_list[[as.character(i)]] <- pc_scores
    }
  }
}

# Combine all PC scores
all_pc_scores <- do.call(rbind, pc_scores_list)

# Check if results_df_allsessions exists and create it if not
if (!exists("results_df_allsessions")) {
  results_df_allsessions <- data.frame()
}

# Prepare results_df_allsessions by adding any necessary identifiers if it's empty
if (nrow(results_df_allsessions) == 0) {
  # Create a basic structure
  results_df_allsessions <- data.frame(
    session = integer(),
    trial = integer()
  )
}

# Now merge the PC scores with results_df_allsessions
# First make sure column names in all_pc_scores are distinct
colnames(all_pc_scores)[1:max_pcs] <- paste0("PC", 1:max_pcs, "_score")

# Rename session_id and trial_idx for merging
colnames(all_pc_scores)[colnames(all_pc_scores) == "session_id"] <- "session"
colnames(all_pc_scores)[colnames(all_pc_scores) == "trial_idx"] <- "trial"

# Join PC scores with results_df_allsessions
# If results_df_allsessions already has data:
if (nrow(results_df_allsessions) > 0) {
  # Check if columns already exist and remove them if necessary
  existing_pc_cols <- grep("PC[0-9]+_score", colnames(results_df_allsessions))
  if (length(existing_pc_cols) > 0) {
    results_df_allsessions <- results_df_allsessions[, -existing_pc_cols]
  }
  
  # Merge based on session and trial
  results_df_allsessions <- merge(results_df_allsessions, all_pc_scores, 
                                 by = c("session", "trial"), 
                                 all.x = TRUE)
} else {
  # If results_df_allsessions is empty, just use the PC scores
  results_df_allsessions <- all_pc_scores
}

# Check the updated dataset
cat("Dataset dimensions:", dim(results_df_allsessions), "\n")
## Dataset dimensions: 49173 125
cat("First few column names:", head(colnames(results_df_allsessions)), "...\n")
## First few column names: session trial brain_area avg_spike_count mousename feedback ...

This is a new dataset that includes PC data.

results_df_allsessions
##     session trial brain_area avg_spike_count mousename feedback rightcontrast
## 1         1     1        ACA       1.2660550      Cori        1          0.50
## 2         1     1       VISp       1.6853933      Cori        1          0.50
## 3         1     1       root       0.5000000      Cori        1          0.50
## 4         1     1         LS       1.9352518      Cori        1          0.50
## 5         1     1        MOs       0.9380531      Cori        1          0.50
## 6         1     1        CA3       1.5294118      Cori        1          0.50
## 7         1     1         DG       2.3235294      Cori        1          0.50
## 8         1     1        SUB       2.0800000      Cori        1          0.50
## 9         1     2         LS       1.3669065      Cori        1          0.00
## 10        1     2         DG       1.5588235      Cori        1          0.00
## 11        1     2       VISp       1.6516854      Cori        1          0.00
## 12        1     2        SUB       1.9466667      Cori        1          0.00
## 13        1     2        ACA       0.5871560      Cori        1          0.00
## 14        1     2       root       0.6666667      Cori        1          0.00
## 15        1     2        MOs       0.7787611      Cori        1          0.00
## 16        1     2        CA3       1.7058824      Cori        1          0.00
## 17        1     3        CA3       1.9852941      Cori       -1          1.00
## 18        1     3        MOs       0.9203540      Cori       -1          1.00
## 19        1     3         DG       3.4117647      Cori       -1          1.00
## 20        1     3        ACA       1.1926606      Cori       -1          1.00
## 21        1     3        SUB       2.6400000      Cori       -1          1.00
## 22        1     3       root       1.4444444      Cori       -1          1.00
## 23        1     3       VISp       2.2752809      Cori       -1          1.00
## 24        1     3         LS       1.7266187      Cori       -1          1.00
## 25        1     4        ACA       0.5137615      Cori       -1          0.00
## 26        1     4         LS       1.0575540      Cori       -1          0.00
## 27        1     4        SUB       2.8000000      Cori       -1          0.00
## 28        1     4       root       1.0555556      Cori       -1          0.00
## 29        1     4        MOs       0.7079646      Cori       -1          0.00
## 30        1     4       VISp       1.5617978      Cori       -1          0.00
## 31        1     4         DG       2.2058824      Cori       -1          0.00
## 32        1     4        CA3       2.1911765      Cori       -1          0.00
## 33        1     5         DG       2.0588235      Cori       -1          0.00
## 34        1     5        CA3       1.8088235      Cori       -1          0.00
## 35        1     5        SUB       2.6133333      Cori       -1          0.00
## 36        1     5       root       0.7777778      Cori       -1          0.00
## 37        1     5        ACA       0.7706422      Cori       -1          0.00
## 38        1     5       VISp       1.6235955      Cori       -1          0.00
## 39        1     5         LS       1.3021583      Cori       -1          0.00
## 40        1     5        MOs       0.7876106      Cori       -1          0.00
## 41        1     6         DG       1.0588235      Cori        1          0.00
## 42        1     6       VISp       1.2808989      Cori        1          0.00
## 43        1     6        ACA       0.4587156      Cori        1          0.00
## 44        1     6        MOs       0.7345133      Cori        1          0.00
## 45        1     6         LS       0.9064748      Cori        1          0.00
## 46        1     6       root       0.6111111      Cori        1          0.00
## 47        1     6        SUB       1.9066667      Cori        1          0.00
## 48        1     6        CA3       1.8529412      Cori        1          0.00
## 49        1     7         LS       1.8633094      Cori        1          0.50
## 50        1     7        ACA       1.2201835      Cori        1          0.50
## 51        1     7       root       2.2222222      Cori        1          0.50
## 52        1     7        MOs       0.9292035      Cori        1          0.50
## 53        1     7         DG       2.8823529      Cori        1          0.50
## 54        1     7        CA3       2.5294118      Cori        1          0.50
## 55        1     7        SUB       3.3200000      Cori        1          0.50
## 56        1     7       VISp       2.7359551      Cori        1          0.50
## 57        1     8         DG       2.0000000      Cori        1          0.00
## 58        1     8        SUB       2.8933333      Cori        1          0.00
## 59        1     8        CA3       1.9705882      Cori        1          0.00
## 60        1     8       VISp       2.2640449      Cori        1          0.00
## 61        1     8         LS       1.4748201      Cori        1          0.00
## 62        1     8       root       1.1666667      Cori        1          0.00
## 63        1     8        ACA       1.0550459      Cori        1          0.00
## 64        1     8        MOs       0.7787611      Cori        1          0.00
## 65        1     9         LS       1.3165468      Cori        1          0.00
## 66        1     9        CA3       2.2058824      Cori        1          0.00
## 67        1     9       root       0.9444444      Cori        1          0.00
## 68        1     9        ACA       0.7339450      Cori        1          0.00
## 69        1     9        MOs       0.6548673      Cori        1          0.00
## 70        1     9        SUB       2.9733333      Cori        1          0.00
## 71        1     9       VISp       1.7640449      Cori        1          0.00
## 72        1     9         DG       1.9705882      Cori        1          0.00
## 73        1    10       VISp       1.9325843      Cori        1          0.25
## 74        1    10       root       1.3888889      Cori        1          0.25
## 75        1    10         LS       1.8633094      Cori        1          0.25
## 76        1    10        SUB       2.0800000      Cori        1          0.25
## 77        1    10        MOs       1.0265487      Cori        1          0.25
## 78        1    10        CA3       2.1617647      Cori        1          0.25
## 79        1    10         DG       2.4117647      Cori        1          0.25
## 80        1    10        ACA       1.3027523      Cori        1          0.25
## 81        1    11        ACA       1.1467890      Cori        1          0.00
## 82        1    11         LS       1.5323741      Cori        1          0.00
## 83        1    11        MOs       0.9646018      Cori        1          0.00
## 84        1    11       root       1.0555556      Cori        1          0.00
## 85        1    11        CA3       1.6764706      Cori        1          0.00
## 86        1    11         DG       2.2352941      Cori        1          0.00
## 87        1    11        SUB       2.1333333      Cori        1          0.00
## 88        1    11       VISp       1.6179775      Cori        1          0.00
## 89        1    12        MOs       1.1327434      Cori        1          1.00
## 90        1    12       VISp       1.9382022      Cori        1          1.00
## 91        1    12         LS       2.2302158      Cori        1          1.00
## 92        1    12        SUB       2.2400000      Cori        1          1.00
## 93        1    12        CA3       2.3382353      Cori        1          1.00
## 94        1    12       root       1.0555556      Cori        1          1.00
## 95        1    12        ACA       1.5229358      Cori        1          1.00
## 96        1    12         DG       3.0294118      Cori        1          1.00
## 97        1    13         DG       3.1470588      Cori       -1          1.00
## 98        1    13         LS       1.7913669      Cori       -1          1.00
## 99        1    13        SUB       2.3600000      Cori       -1          1.00
## 100       1    13        MOs       0.8672566      Cori       -1          1.00
## 101       1    13        CA3       2.2352941      Cori       -1          1.00
## 102       1    13       VISp       2.0112360      Cori       -1          1.00
## 103       1    13       root       1.6111111      Cori       -1          1.00
## 104       1    13        ACA       1.1467890      Cori       -1          1.00
## 105       1    14         LS       1.4460432      Cori       -1          0.00
## 106       1    14         DG       1.8823529      Cori       -1          0.00
## 107       1    14        SUB       2.4666667      Cori       -1          0.00
## 108       1    14        ACA       0.9082569      Cori       -1          0.00
## 109       1    14       VISp       1.6460674      Cori       -1          0.00
## 110       1    14        CA3       1.7352941      Cori       -1          0.00
## 111       1    14        MOs       0.8230088      Cori       -1          0.00
## 112       1    14       root       1.0000000      Cori       -1          0.00
## 113       1    15         DG       2.4411765      Cori       -1          0.00
## 114       1    15       VISp       2.0000000      Cori       -1          0.00
## 115       1    15        SUB       3.3200000      Cori       -1          0.00
## 116       1    15        ACA       0.6880734      Cori       -1          0.00
## 117       1    15        CA3       2.1911765      Cori       -1          0.00
## 118       1    15        MOs       1.0353982      Cori       -1          0.00
## 119       1    15       root       0.7222222      Cori       -1          0.00
## 120       1    15         LS       1.6043165      Cori       -1          0.00
## 121       1    16        ACA       0.8532110      Cori       -1          0.00
## 122       1    16         DG       2.4411765      Cori       -1          0.00
## 123       1    16       root       0.3888889      Cori       -1          0.00
## 124       1    16       VISp       1.6460674      Cori       -1          0.00
## 125       1    16         LS       1.3884892      Cori       -1          0.00
## 126       1    16        SUB       2.2400000      Cori       -1          0.00
## 127       1    16        CA3       1.4264706      Cori       -1          0.00
## 128       1    16        MOs       0.7522124      Cori       -1          0.00
## 129       1    17       VISp       1.7247191      Cori        1          0.00
## 130       1    17       root       0.7777778      Cori        1          0.00
## 131       1    17         LS       1.0000000      Cori        1          0.00
## 132       1    17         DG       1.8529412      Cori        1          0.00
## 133       1    17        MOs       0.6637168      Cori        1          0.00
## 134       1    17        CA3       2.3823529      Cori        1          0.00
## 135       1    17        SUB       2.5866667      Cori        1          0.00
## 136       1    17        ACA       0.4311927      Cori        1          0.00
## 137       1    18         DG       3.1470588      Cori        1          0.50
## 138       1    18        ACA       1.7064220      Cori        1          0.50
## 139       1    18        CA3       2.2647059      Cori        1          0.50
## 140       1    18       VISp       2.2584270      Cori        1          0.50
## 141       1    18       root       1.7222222      Cori        1          0.50
## 142       1    18         LS       2.2302158      Cori        1          0.50
## 143       1    18        MOs       1.0530973      Cori        1          0.50
## 144       1    18        SUB       2.6533333      Cori        1          0.50
## 145       1    19        CA3       2.4705882      Cori        1          0.25
## 146       1    19         LS       1.6187050      Cori        1          0.25
## 147       1    19       root       1.6666667      Cori        1          0.25
## 148       1    19        ACA       1.2293578      Cori        1          0.25
## 149       1    19        MOs       0.9203540      Cori        1          0.25
## 150       1    19         DG       3.2941176      Cori        1          0.25
## 151       1    19        SUB       2.8933333      Cori        1          0.25
## 152       1    19       VISp       2.3595506      Cori        1          0.25
## 153       1    20        MOs       1.1327434      Cori        1          1.00
## 154       1    20         DG       2.7941176      Cori        1          1.00
## 155       1    20         LS       2.1654676      Cori        1          1.00
## 156       1    20       root       1.3333333      Cori        1          1.00
## 157       1    20       VISp       2.4831461      Cori        1          1.00
## 158       1    20        CA3       2.4117647      Cori        1          1.00
## 159       1    20        SUB       3.0533333      Cori        1          1.00
## 160       1    20        ACA       1.4862385      Cori        1          1.00
## 161       1    21        MOs       0.6017699      Cori        1          0.00
## 162       1    21        SUB       2.4400000      Cori        1          0.00
## 163       1    21       VISp       1.5674157      Cori        1          0.00
## 164       1    21        ACA       0.5504587      Cori        1          0.00
## 165       1    21        CA3       2.1176471      Cori        1          0.00
## 166       1    21       root       0.4444444      Cori        1          0.00
## 167       1    21         DG       0.8823529      Cori        1          0.00
## 168       1    21         LS       1.3381295      Cori        1          0.00
## 169       1    22        CA3       1.5000000      Cori       -1          0.50
## 170       1    22        SUB       1.6133333      Cori       -1          0.50
## 171       1    22         DG       1.9705882      Cori       -1          0.50
## 172       1    22         LS       1.4388489      Cori       -1          0.50
## 173       1    22       VISp       1.3314607      Cori       -1          0.50
## 174       1    22        MOs       0.8230088      Cori       -1          0.50
## 175       1    22       root       0.4444444      Cori       -1          0.50
## 176       1    22        ACA       0.8623853      Cori       -1          0.50
## 177       1    23        CA3       1.7647059      Cori       -1          0.00
## 178       1    23         LS       1.4532374      Cori       -1          0.00
## 179       1    23        SUB       2.1733333      Cori       -1          0.00
## 180       1    23       root       0.6111111      Cori       -1          0.00
## 181       1    23        ACA       0.8348624      Cori       -1          0.00
## 182       1    23        MOs       0.7610619      Cori       -1          0.00
## 183       1    23       VISp       1.4719101      Cori       -1          0.00
## 184       1    23         DG       1.5882353      Cori       -1          0.00
## 185       1    24        CA3       2.3823529      Cori        1          0.00
## 186       1    24        ACA       0.7247706      Cori        1          0.00
## 187       1    24        MOs       0.7787611      Cori        1          0.00
## 188       1    24        SUB       3.2666667      Cori        1          0.00
## 189       1    24         DG       2.2647059      Cori        1          0.00
## 190       1    24         LS       0.9568345      Cori        1          0.00
## 191       1    24       root       1.0555556      Cori        1          0.00
## 192       1    24       VISp       2.0730337      Cori        1          0.00
## 193       1    25        MOs       1.0530973      Cori        1          0.25
## 194       1    25       root       0.8888889      Cori        1          0.25
## 195       1    25         DG       2.6470588      Cori        1          0.25
## 196       1    25        SUB       2.4266667      Cori        1          0.25
## 197       1    25        CA3       1.7647059      Cori        1          0.25
## 198       1    25        ACA       1.2201835      Cori        1          0.25
## 199       1    25         LS       1.7697842      Cori        1          0.25
## 200       1    25       VISp       1.8258427      Cori        1          0.25
## 201       1    26       VISp       2.2528090      Cori        1          0.25
## 202       1    26        SUB       2.7200000      Cori        1          0.25
## 203       1    26       root       1.1111111      Cori        1          0.25
## 204       1    26         DG       2.9705882      Cori        1          0.25
## 205       1    26        ACA       1.4311927      Cori        1          0.25
## 206       1    26        MOs       1.1061947      Cori        1          0.25
## 207       1    26        CA3       2.3676471      Cori        1          0.25
## 208       1    26         LS       1.9496403      Cori        1          0.25
## 209       1    27       root       0.9444444      Cori        1          0.50
## 210       1    27         LS       1.9784173      Cori        1          0.50
## 211       1    27        CA3       2.1764706      Cori        1          0.50
## 212       1    27        MOs       0.9115044      Cori        1          0.50
## 213       1    27       VISp       2.4438202      Cori        1          0.50
## 214       1    27        ACA       1.3577982      Cori        1          0.50
## 215       1    27         DG       3.4411765      Cori        1          0.50
## 216       1    27        SUB       2.4400000      Cori        1          0.50
## 217       1    28        ACA       1.4220183      Cori       -1          0.00
## 218       1    28        SUB       3.3333333      Cori       -1          0.00
## 219       1    28         LS       1.9136691      Cori       -1          0.00
## 220       1    28        CA3       3.3676471      Cori       -1          0.00
## 221       1    28         DG       4.2941176      Cori       -1          0.00
## 222       1    28       VISp       2.9382022      Cori       -1          0.00
## 223       1    28        MOs       1.1415929      Cori       -1          0.00
## 224       1    28       root       1.0555556      Cori       -1          0.00
## 225       1    29        SUB       2.0400000      Cori        1          0.00
## 226       1    29       VISp       1.2528090      Cori        1          0.00
## 227       1    29        MOs       0.7345133      Cori        1          0.00
## 228       1    29        CA3       1.8970588      Cori        1          0.00
## 229       1    29         LS       0.9424460      Cori        1          0.00
## 230       1    29       root       0.3333333      Cori        1          0.00
## 231       1    29         DG       0.8529412      Cori        1          0.00
## 232       1    29        ACA       0.4678899      Cori        1          0.00
## 233       1    30        MOs       0.9026549      Cori        1          0.50
## 234       1    30         LS       1.8417266      Cori        1          0.50
## 235       1    30       root       1.5555556      Cori        1          0.50
## 236       1    30         DG       3.6764706      Cori        1          0.50
## 237       1    30        SUB       2.6933333      Cori        1          0.50
## 238       1    30       VISp       2.2134831      Cori        1          0.50
## 239       1    30        ACA       1.4128440      Cori        1          0.50
## 240       1    30        CA3       1.9558824      Cori        1          0.50
## 241       1    31         LS       1.5395683      Cori        1          0.00
## 242       1    31        CA3       2.1911765      Cori        1          0.00
## 243       1    31        ACA       1.1651376      Cori        1          0.00
## 244       1    31        MOs       1.0353982      Cori        1          0.00
## 245       1    31       root       1.3333333      Cori        1          0.00
## 246       1    31        SUB       2.3733333      Cori        1          0.00
## 247       1    31         DG       2.5000000      Cori        1          0.00
## 248       1    31       VISp       2.0112360      Cori        1          0.00
## 249       1    32       root       0.4444444      Cori       -1          0.00
## 250       1    32        ACA       0.6055046      Cori       -1          0.00
## 251       1    32        MOs       0.7610619      Cori       -1          0.00
## 252       1    32       VISp       1.6797753      Cori       -1          0.00
## 253       1    32         LS       1.1294964      Cori       -1          0.00
## 254       1    32         DG       1.2647059      Cori       -1          0.00
## 255       1    32        SUB       2.4666667      Cori       -1          0.00
## 256       1    32        CA3       2.0147059      Cori       -1          0.00
## 257       1    33         DG       1.2941176      Cori        1          0.00
## 258       1    33        MOs       0.7168142      Cori        1          0.00
## 259       1    33       root       0.5555556      Cori        1          0.00
## 260       1    33       VISp       1.3314607      Cori        1          0.00
## 261       1    33        CA3       2.1617647      Cori        1          0.00
## 262       1    33        ACA       0.6880734      Cori        1          0.00
## 263       1    33         LS       1.1942446      Cori        1          0.00
## 264       1    33        SUB       2.2266667      Cori        1          0.00
## 265       1    34        MOs       1.0176991      Cori        1          0.50
## 266       1    34       VISp       2.1123596      Cori        1          0.50
## 267       1    34         LS       1.7985612      Cori        1          0.50
## 268       1    34        CA3       2.2205882      Cori        1          0.50
## 269       1    34       root       0.6111111      Cori        1          0.50
## 270       1    34         DG       2.1176471      Cori        1          0.50
## 271       1    34        SUB       2.2266667      Cori        1          0.50
## 272       1    34        ACA       1.2110092      Cori        1          0.50
## 273       1    35       root       1.3333333      Cori        1          0.25
## 274       1    35        MOs       1.0619469      Cori        1          0.25
## 275       1    35       VISp       2.1348315      Cori        1          0.25
## 276       1    35         DG       2.7941176      Cori        1          0.25
## 277       1    35        SUB       2.7733333      Cori        1          0.25
## 278       1    35        CA3       2.3676471      Cori        1          0.25
## 279       1    35        ACA       1.2752294      Cori        1          0.25
## 280       1    35         LS       1.7553957      Cori        1          0.25
## 281       1    36        ACA       1.3761468      Cori        1          1.00
## 282       1    36       VISp       2.0280899      Cori        1          1.00
## 283       1    36        CA3       2.4705882      Cori        1          1.00
## 284       1    36         LS       1.7769784      Cori        1          1.00
## 285       1    36        SUB       2.5200000      Cori        1          1.00
## 286       1    36        MOs       1.0619469      Cori        1          1.00
## 287       1    36         DG       2.8529412      Cori        1          1.00
## 288       1    36       root       1.6111111      Cori        1          1.00
## 289       1    37         DG       2.2058824      Cori        1          0.50
## 290       1    37        CA3       1.7647059      Cori        1          0.50
## 291       1    37       root       0.8888889      Cori        1          0.50
## 292       1    37       VISp       1.6235955      Cori        1          0.50
## 293       1    37        SUB       2.4000000      Cori        1          0.50
## 294       1    37        ACA       1.1651376      Cori        1          0.50
## 295       1    37         LS       1.5899281      Cori        1          0.50
## 296       1    37        MOs       0.9557522      Cori        1          0.50
## 297       1    38         DG       2.3235294      Cori        1          1.00
## 298       1    38        CA3       1.9558824      Cori        1          1.00
## 299       1    38       VISp       1.5337079      Cori        1          1.00
## 300       1    38       root       1.3333333      Cori        1          1.00
## 301       1    38         LS       1.5251799      Cori        1          1.00
## 302       1    38        SUB       2.3066667      Cori        1          1.00
## 303       1    38        ACA       1.0275229      Cori        1          1.00
## 304       1    38        MOs       0.9203540      Cori        1          1.00
## 305       1    39       VISp       1.3707865      Cori        1          0.00
## 306       1    39        ACA       0.4495413      Cori        1          0.00
## 307       1    39         DG       1.0000000      Cori        1          0.00
## 308       1    39        SUB       2.1466667      Cori        1          0.00
## 309       1    39         LS       0.8201439      Cori        1          0.00
## 310       1    39       root       0.5555556      Cori        1          0.00
## 311       1    39        CA3       2.1911765      Cori        1          0.00
## 312       1    39        MOs       0.5840708      Cori        1          0.00
## 313       1    40       VISp       2.0056180      Cori        1          0.00
## 314       1    40         LS       1.6834532      Cori        1          0.00
## 315       1    40        SUB       2.5066667      Cori        1          0.00
## 316       1    40       root       1.3888889      Cori        1          0.00
## 317       1    40        CA3       2.5294118      Cori        1          0.00
## 318       1    40        ACA       1.3211009      Cori        1          0.00
## 319       1    40         DG       2.9117647      Cori        1          0.00
## 320       1    40        MOs       1.0707965      Cori        1          0.00
## 321       1    41         DG       2.3235294      Cori        1          0.50
## 322       1    41        MOs       0.9911504      Cori        1          0.50
## 323       1    41       VISp       2.0280899      Cori        1          0.50
## 324       1    41        SUB       2.6800000      Cori        1          0.50
## 325       1    41       root       1.2222222      Cori        1          0.50
## 326       1    41        CA3       2.1323529      Cori        1          0.50
## 327       1    41         LS       1.7553957      Cori        1          0.50
## 328       1    41        ACA       1.1651376      Cori        1          0.50
## 329       1    42        CA3       1.7205882      Cori       -1          0.50
## 330       1    42        SUB       2.3066667      Cori       -1          0.50
## 331       1    42       root       0.6666667      Cori       -1          0.50
## 332       1    42        ACA       0.7798165      Cori       -1          0.50
## 333       1    42         DG       1.3823529      Cori       -1          0.50
## 334       1    42         LS       1.4820144      Cori       -1          0.50
## 335       1    42        MOs       0.8318584      Cori       -1          0.50
## 336       1    42       VISp       1.3651685      Cori       -1          0.50
## 337       1    43         LS       1.8776978      Cori        1          0.00
## 338       1    43         DG       3.3235294      Cori        1          0.00
## 339       1    43        ACA       1.1743119      Cori        1          0.00
## 340       1    43       root       1.1666667      Cori        1          0.00
## 341       1    43        SUB       2.1866667      Cori        1          0.00
## 342       1    43        MOs       1.2035398      Cori        1          0.00
## 343       1    43       VISp       2.0393258      Cori        1          0.00
## 344       1    43        CA3       2.0294118      Cori        1          0.00
## 345       1    44       root       1.5000000      Cori        1          0.25
## 346       1    44         DG       3.0000000      Cori        1          0.25
## 347       1    44         LS       1.6762590      Cori        1          0.25
## 348       1    44        SUB       3.0000000      Cori        1          0.25
## 349       1    44       VISp       2.2191011      Cori        1          0.25
## 350       1    44        MOs       0.9115044      Cori        1          0.25
## 351       1    44        ACA       1.0733945      Cori        1          0.25
## 352       1    44        CA3       2.3970588      Cori        1          0.25
## 353       1    45        SUB       2.1200000      Cori        1          1.00
## 354       1    45       root       0.9444444      Cori        1          1.00
## 355       1    45         DG       2.8235294      Cori        1          1.00
## 356       1    45        CA3       2.1617647      Cori        1          1.00
## 357       1    45        MOs       0.9115044      Cori        1          1.00
## 358       1    45       VISp       1.8820225      Cori        1          1.00
## 359       1    45         LS       1.7769784      Cori        1          1.00
## 360       1    45        ACA       1.1100917      Cori        1          1.00
## 361       1    46        ACA       1.3302752      Cori        1          0.00
## 362       1    46         LS       1.8345324      Cori        1          0.00
## 363       1    46       root       2.1111111      Cori        1          0.00
## 364       1    46        SUB       2.6933333      Cori        1          0.00
## 365       1    46        CA3       2.7647059      Cori        1          0.00
## 366       1    46         DG       4.0588235      Cori        1          0.00
## 367       1    46       VISp       2.2752809      Cori        1          0.00
## 368       1    46        MOs       1.1858407      Cori        1          0.00
## 369       1    47       VISp       1.8314607      Cori       -1          1.00
## 370       1    47        MOs       1.1238938      Cori       -1          1.00
## 371       1    47         DG       2.2941176      Cori       -1          1.00
## 372       1    47       root       1.0555556      Cori       -1          1.00
## 373       1    47        ACA       1.3211009      Cori       -1          1.00
## 374       1    47        CA3       2.1911765      Cori       -1          1.00
## 375       1    47         LS       1.6690647      Cori       -1          1.00
## 376       1    47        SUB       2.4133333      Cori       -1          1.00
## 377       1    48        ACA       0.4862385      Cori        1          0.00
## 378       1    48        CA3       2.1911765      Cori        1          0.00
## 379       1    48        MOs       0.6017699      Cori        1          0.00
## 380       1    48       root       0.3333333      Cori        1          0.00
## 381       1    48         DG       1.5294118      Cori        1          0.00
## 382       1    48       VISp       1.4325843      Cori        1          0.00
## 383       1    48         LS       0.7913669      Cori        1          0.00
## 384       1    48        SUB       2.3733333      Cori        1          0.00
## 385       1    49        SUB       2.1066667      Cori       -1          1.00
## 386       1    49       root       0.5555556      Cori       -1          1.00
## 387       1    49        MOs       0.7433628      Cori       -1          1.00
## 388       1    49        ACA       0.8256881      Cori       -1          1.00
## 389       1    49         DG       1.6176471      Cori       -1          1.00
## 390       1    49       VISp       1.5056180      Cori       -1          1.00
## 391       1    49         LS       1.2589928      Cori       -1          1.00
## 392       1    49        CA3       1.8823529      Cori       -1          1.00
## 393       1    50         DG       1.9411765      Cori        1          1.00
## 394       1    50        ACA       0.9816514      Cori        1          1.00
## 395       1    50        CA3       1.8970588      Cori        1          1.00
## 396       1    50       root       0.7222222      Cori        1          1.00
## 397       1    50        MOs       0.7168142      Cori        1          1.00
## 398       1    50        SUB       1.5200000      Cori        1          1.00
## 399       1    50       VISp       1.2640449      Cori        1          1.00
## 400       1    50         LS       1.6187050      Cori        1          1.00
## 401       1    51         LS       1.5611511      Cori        1          0.00
## 402       1    51       VISp       2.0056180      Cori        1          0.00
## 403       1    51        ACA       1.3853211      Cori        1          0.00
## 404       1    51         DG       3.8529412      Cori        1          0.00
## 405       1    51        CA3       2.4411765      Cori        1          0.00
## 406       1    51       root       1.3888889      Cori        1          0.00
## 407       1    51        MOs       1.1504425      Cori        1          0.00
## 408       1    51        SUB       2.7466667      Cori        1          0.00
## 409       1    52        CA3       2.6470588      Cori        1          0.00
## 410       1    52         DG       2.7647059      Cori        1          0.00
## 411       1    52        MOs       1.0000000      Cori        1          0.00
## 412       1    52        ACA       1.3577982      Cori        1          0.00
## 413       1    52         LS       1.6402878      Cori        1          0.00
## 414       1    52       root       1.3333333      Cori        1          0.00
## 415       1    52        SUB       2.8933333      Cori        1          0.00
## 416       1    52       VISp       2.0505618      Cori        1          0.00
## 417       1    53        MOs       0.7610619      Cori       -1          0.50
## 418       1    53       VISp       1.7696629      Cori       -1          0.50
## 419       1    53         DG       1.4117647      Cori       -1          0.50
## 420       1    53        CA3       1.9117647      Cori       -1          0.50
## 421       1    53        ACA       0.8807339      Cori       -1          0.50
## 422       1    53         LS       1.3884892      Cori       -1          0.50
## 423       1    53        SUB       2.2666667      Cori       -1          0.50
## 424       1    53       root       0.4444444      Cori       -1          0.50
## 425       1    54         LS       1.6546763      Cori       -1          0.00
## 426       1    54        MOs       1.0707965      Cori       -1          0.00
## 427       1    54        ACA       1.1559633      Cori       -1          0.00
## 428       1    54       VISp       1.7415730      Cori       -1          0.00
## 429       1    54        CA3       1.4852941      Cori       -1          0.00
## 430       1    54       root       1.1111111      Cori       -1          0.00
## 431       1    54        SUB       2.5733333      Cori       -1          0.00
## 432       1    54         DG       2.9705882      Cori       -1          0.00
## 433       1    55        SUB       2.0000000      Cori        1          0.50
## 434       1    55       root       1.0000000      Cori        1          0.50
## 435       1    55         LS       1.6762590      Cori        1          0.50
## 436       1    55       VISp       1.5842697      Cori        1          0.50
## 437       1    55        CA3       1.5000000      Cori        1          0.50
## 438       1    55        MOs       1.0088496      Cori        1          0.50
## 439       1    55         DG       2.1176471      Cori        1          0.50
## 440       1    55        ACA       1.0733945      Cori        1          0.50
## 441       1    56         DG       4.0000000      Cori        1          1.00
## 442       1    56        CA3       2.5000000      Cori        1          1.00
## 443       1    56        ACA       1.5963303      Cori        1          1.00
## 444       1    56        SUB       2.6266667      Cori        1          1.00
## 445       1    56         LS       2.0431655      Cori        1          1.00
## 446       1    56        MOs       1.0176991      Cori        1          1.00
## 447       1    56       VISp       2.2977528      Cori        1          1.00
## 448       1    56       root       1.3333333      Cori        1          1.00
## 449       1    57       root       0.4444444      Cori       -1          1.00
## 450       1    57         LS       1.4676259      Cori       -1          1.00
## 451       1    57       VISp       1.5224719      Cori       -1          1.00
## 452       1    57        MOs       0.8230088      Cori       -1          1.00
## 453       1    57        SUB       2.2533333      Cori       -1          1.00
## 454       1    57         DG       1.8235294      Cori       -1          1.00
## 455       1    57        ACA       0.8165138      Cori       -1          1.00
## 456       1    57        CA3       1.8235294      Cori       -1          1.00
## 457       1    58        ACA       0.6788991      Cori       -1          1.00
## 458       1    58         DG       2.0588235      Cori       -1          1.00
## 459       1    58        SUB       1.9733333      Cori       -1          1.00
## 460       1    58       root       0.4444444      Cori       -1          1.00
## 461       1    58        CA3       1.6911765      Cori       -1          1.00
## 462       1    58        MOs       0.7522124      Cori       -1          1.00
## 463       1    58       VISp       1.3820225      Cori       -1          1.00
## 464       1    58         LS       1.1654676      Cori       -1          1.00
## 465       1    59        ACA       0.8348624      Cori       -1          1.00
## 466       1    59         DG       1.5294118      Cori       -1          1.00
## 467       1    59        MOs       0.9292035      Cori       -1          1.00
## 468       1    59         LS       1.3741007      Cori       -1          1.00
## 469       1    59        CA3       1.4411765      Cori       -1          1.00
## 470       1    59       root       0.3888889      Cori       -1          1.00
## 471       1    59        SUB       2.0533333      Cori       -1          1.00
## 472       1    59       VISp       1.2640449      Cori       -1          1.00
## 473       1    60         LS       2.1942446      Cori        1          1.00
## 474       1    60        MOs       1.0442478      Cori        1          1.00
## 475       1    60        CA3       2.2205882      Cori        1          1.00
## 476       1    60        SUB       2.5466667      Cori        1          1.00
## 477       1    60         DG       3.5588235      Cori        1          1.00
## 478       1    60       VISp       2.1910112      Cori        1          1.00
## 479       1    60       root       1.7222222      Cori        1          1.00
## 480       1    60        ACA       1.5871560      Cori        1          1.00
## 481       1    61        CA3       2.1764706      Cori        1          1.00
## 482       1    61        SUB       3.4533333      Cori        1          1.00
## 483       1    61       VISp       2.1516854      Cori        1          1.00
## 484       1    61        ACA       1.5412844      Cori        1          1.00
## 485       1    61         DG       2.7352941      Cori        1          1.00
## 486       1    61         LS       1.9784173      Cori        1          1.00
## 487       1    61       root       1.2777778      Cori        1          1.00
## 488       1    61        MOs       1.0000000      Cori        1          1.00
## 489       1    62         LS       1.2517986      Cori        1          1.00
## 490       1    62        ACA       0.8165138      Cori        1          1.00
## 491       1    62        SUB       2.5866667      Cori        1          1.00
## 492       1    62       root       0.6666667      Cori        1          1.00
## 493       1    62       VISp       1.7584270      Cori        1          1.00
## 494       1    62         DG       2.4411765      Cori        1          1.00
## 495       1    62        CA3       2.0294118      Cori        1          1.00
## 496       1    62        MOs       0.9203540      Cori        1          1.00
## 497       1    63        ACA       1.0733945      Cori       -1          0.25
## 498       1    63       root       0.7777778      Cori       -1          0.25
## 499       1    63         DG       1.4705882      Cori       -1          0.25
## 500       1    63       VISp       1.3539326      Cori       -1          0.25
## 501       1    63        MOs       0.8407080      Cori       -1          0.25
## 502       1    63        CA3       1.5588235      Cori       -1          0.25
## 503       1    63        SUB       2.0800000      Cori       -1          0.25
## 504       1    63         LS       1.3812950      Cori       -1          0.25
## 505       1    64       root       0.5555556      Cori       -1          1.00
## 506       1    64         LS       1.0431655      Cori       -1          1.00
## 507       1    64       VISp       1.7921348      Cori       -1          1.00
## 508       1    64        ACA       0.8899083      Cori       -1          1.00
## 509       1    64        CA3       2.1617647      Cori       -1          1.00
## 510       1    64        SUB       3.4000000      Cori       -1          1.00
## 511       1    64         DG       1.8823529      Cori       -1          1.00
## 512       1    64        MOs       0.8318584      Cori       -1          1.00
## 513       1    65        CA3       2.6911765      Cori       -1          1.00
## 514       1    65        SUB       2.3866667      Cori       -1          1.00
## 515       1    65       root       0.4444444      Cori       -1          1.00
## 516       1    65        ACA       0.6880734      Cori       -1          1.00
## 517       1    65       VISp       1.6348315      Cori       -1          1.00
## 518       1    65        MOs       0.8584071      Cori       -1          1.00
## 519       1    65         DG       1.9411765      Cori       -1          1.00
## 520       1    65         LS       1.1582734      Cori       -1          1.00
## 521       1    66        MOs       0.9469027      Cori       -1          1.00
## 522       1    66       VISp       1.4438202      Cori       -1          1.00
## 523       1    66        ACA       0.8165138      Cori       -1          1.00
## 524       1    66         DG       1.9705882      Cori       -1          1.00
## 525       1    66        SUB       2.1600000      Cori       -1          1.00
## 526       1    66       root       0.5555556      Cori       -1          1.00
## 527       1    66        CA3       2.2941176      Cori       -1          1.00
## 528       1    66         LS       1.3884892      Cori       -1          1.00
## 529       1    67       root       0.9444444      Cori        1          1.00
## 530       1    67        SUB       2.9600000      Cori        1          1.00
## 531       1    67        MOs       1.0884956      Cori        1          1.00
## 532       1    67       VISp       1.8370787      Cori        1          1.00
## 533       1    67         LS       1.8417266      Cori        1          1.00
## 534       1    67         DG       2.9411765      Cori        1          1.00
## 535       1    67        CA3       2.1029412      Cori        1          1.00
## 536       1    67        ACA       1.3669725      Cori        1          1.00
## 537       1    68        CA3       1.6764706      Cori        1          0.00
## 538       1    68         LS       1.4316547      Cori        1          0.00
## 539       1    68        MOs       0.7433628      Cori        1          0.00
## 540       1    68       VISp       1.4044944      Cori        1          0.00
## 541       1    68         DG       1.8235294      Cori        1          0.00
## 542       1    68       root       0.4444444      Cori        1          0.00
## 543       1    68        ACA       0.7064220      Cori        1          0.00
## 544       1    68        SUB       2.3600000      Cori        1          0.00
## 545       1    69         LS       1.4892086      Cori        1          0.00
## 546       1    69       root       0.7222222      Cori        1          0.00
## 547       1    69       VISp       1.5674157      Cori        1          0.00
## 548       1    69        MOs       0.8407080      Cori        1          0.00
## 549       1    69        ACA       1.2477064      Cori        1          0.00
## 550       1    69         DG       2.0000000      Cori        1          0.00
## 551       1    69        CA3       1.7941176      Cori        1          0.00
## 552       1    69        SUB       1.8800000      Cori        1          0.00
## 553       1    70        CA3       2.7205882      Cori        1          0.00
## 554       1    70       VISp       1.8033708      Cori        1          0.00
## 555       1    70         LS       0.9784173      Cori        1          0.00
## 556       1    70        ACA       0.4678899      Cori        1          0.00
## 557       1    70         DG       1.8235294      Cori        1          0.00
## 558       1    70        MOs       0.7256637      Cori        1          0.00
## 559       1    70       root       0.6111111      Cori        1          0.00
## 560       1    70        SUB       3.0933333      Cori        1          0.00
## 561       1    71        SUB       2.3200000      Cori        1          1.00
## 562       1    71       root       0.9444444      Cori        1          1.00
## 563       1    71        MOs       0.8141593      Cori        1          1.00
## 564       1    71        ACA       0.8440367      Cori        1          1.00
## 565       1    71         DG       1.6764706      Cori        1          1.00
## 566       1    71       VISp       1.6123596      Cori        1          1.00
## 567       1    71         LS       1.3093525      Cori        1          1.00
## 568       1    71        CA3       2.2941176      Cori        1          1.00
## 569       1    72        CA3       2.0294118      Cori        1          0.00
## 570       1    72       VISp       1.1404494      Cori        1          0.00
## 571       1    72        SUB       2.1733333      Cori        1          0.00
## 572       1    72        MOs       0.6017699      Cori        1          0.00
## 573       1    72       root       0.6111111      Cori        1          0.00
## 574       1    72         LS       1.0863309      Cori        1          0.00
## 575       1    72         DG       2.0294118      Cori        1          0.00
## 576       1    72        ACA       0.5963303      Cori        1          0.00
## 577       1    73         DG       1.8235294      Cori        1          0.25
## 578       1    73         LS       1.6618705      Cori        1          0.25
## 579       1    73        MOs       1.0088496      Cori        1          0.25
## 580       1    73       VISp       1.4494382      Cori        1          0.25
## 581       1    73        ACA       1.1192661      Cori        1          0.25
## 582       1    73       root       0.6111111      Cori        1          0.25
## 583       1    73        SUB       2.6400000      Cori        1          0.25
## 584       1    73        CA3       1.8529412      Cori        1          0.25
## 585       1    74        MOs       0.8938053      Cori        1          0.00
## 586       1    74        CA3       2.6617647      Cori        1          0.00
## 587       1    74       VISp       1.6011236      Cori        1          0.00
## 588       1    74         DG       1.6764706      Cori        1          0.00
## 589       1    74       root       0.8888889      Cori        1          0.00
## 590       1    74        ACA       0.6697248      Cori        1          0.00
## 591       1    74        SUB       3.5600000      Cori        1          0.00
## 592       1    74         LS       0.9352518      Cori        1          0.00
## 593       1    75        CA3       2.2205882      Cori        1          0.50
## 594       1    75        MOs       0.8141593      Cori        1          0.50
## 595       1    75         LS       1.2877698      Cori        1          0.50
## 596       1    75        SUB       2.2533333      Cori        1          0.50
## 597       1    75       VISp       1.5955056      Cori        1          0.50
## 598       1    75         DG       2.6470588      Cori        1          0.50
## 599       1    75       root       1.0555556      Cori        1          0.50
## 600       1    75        ACA       0.7614679      Cori        1          0.50
## 601       1    76         LS       1.5395683      Cori        1          1.00
## 602       1    76       root       0.6666667      Cori        1          1.00
## 603       1    76         DG       1.9411765      Cori        1          1.00
## 604       1    76        CA3       1.6764706      Cori        1          1.00
## 605       1    76        MOs       0.9734513      Cori        1          1.00
## 606       1    76       VISp       1.6179775      Cori        1          1.00
## 607       1    76        ACA       1.1376147      Cori        1          1.00
## 608       1    76        SUB       1.9733333      Cori        1          1.00
## 609       1    77        SUB       1.9333333      Cori       -1          0.50
## 610       1    77         DG       2.2647059      Cori       -1          0.50
## 611       1    77       VISp       1.2865169      Cori       -1          0.50
## 612       1    77       root       0.5555556      Cori       -1          0.50
## 613       1    77        CA3       2.2352941      Cori       -1          0.50
## 614       1    77        ACA       0.7339450      Cori       -1          0.50
## 615       1    77        MOs       0.6991150      Cori       -1          0.50
## 616       1    77         LS       0.9712230      Cori       -1          0.50
## 617       1    78        SUB       2.3200000      Cori        1          0.50
## 618       1    78       VISp       1.5337079      Cori        1          0.50
## 619       1    78        CA3       2.5441176      Cori        1          0.50
## 620       1    78        MOs       0.7433628      Cori        1          0.50
## 621       1    78         LS       1.2949640      Cori        1          0.50
## 622       1    78        ACA       0.5688073      Cori        1          0.50
## 623       1    78       root       0.6666667      Cori        1          0.50
## 624       1    78         DG       1.1470588      Cori        1          0.50
## 625       1    79         LS       1.8561151      Cori        1          0.25
## 626       1    79         DG       2.8235294      Cori        1          0.25
## 627       1    79       VISp       1.8651685      Cori        1          0.25
## 628       1    79       root       1.3333333      Cori        1          0.25
## 629       1    79        ACA       1.2844037      Cori        1          0.25
## 630       1    79        SUB       2.1466667      Cori        1          0.25
## 631       1    79        CA3       1.9117647      Cori        1          0.25
## 632       1    79        MOs       0.9911504      Cori        1          0.25
## 633       1    80       root       0.7777778      Cori       -1          0.50
## 634       1    80        SUB       1.8400000      Cori       -1          0.50
## 635       1    80        MOs       0.7079646      Cori       -1          0.50
## 636       1    80         DG       1.1176471      Cori       -1          0.50
## 637       1    80        CA3       1.8823529      Cori       -1          0.50
## 638       1    80         LS       1.0071942      Cori       -1          0.50
## 639       1    80       VISp       1.0898876      Cori       -1          0.50
## 640       1    80        ACA       0.7981651      Cori       -1          0.50
## 641       1    81        MOs       0.8407080      Cori        1          0.00
## 642       1    81        CA3       2.7500000      Cori        1          0.00
## 643       1    81         LS       0.8489209      Cori        1          0.00
## 644       1    81        SUB       3.3200000      Cori        1          0.00
## 645       1    81         DG       3.2058824      Cori        1          0.00
## 646       1    81       root       1.0000000      Cori        1          0.00
## 647       1    81       VISp       1.7865169      Cori        1          0.00
## 648       1    81        ACA       0.5504587      Cori        1          0.00
## 649       1    82        CA3       1.6029412      Cori        1          0.50
## 650       1    82       VISp       1.3820225      Cori        1          0.50
## 651       1    82       root       1.5000000      Cori        1          0.50
## 652       1    82        SUB       1.9600000      Cori        1          0.50
## 653       1    82        MOs       0.9380531      Cori        1          0.50
## 654       1    82         LS       1.4532374      Cori        1          0.50
## 655       1    82        ACA       0.8440367      Cori        1          0.50
## 656       1    82         DG       1.4411765      Cori        1          0.50
## 657       1    83        SUB       2.7200000      Cori        1          0.00
## 658       1    83        ACA       1.3577982      Cori        1          0.00
## 659       1    83        CA3       2.5882353      Cori        1          0.00
## 660       1    83       VISp       1.7865169      Cori        1          0.00
## 661       1    83        MOs       1.1327434      Cori        1          0.00
## 662       1    83         DG       2.6176471      Cori        1          0.00
## 663       1    83       root       1.5555556      Cori        1          0.00
## 664       1    83         LS       1.7482014      Cori        1          0.00
## 665       1    84        MOs       1.1238938      Cori        1          0.00
## 666       1    84       root       1.3333333      Cori        1          0.00
## 667       1    84        CA3       2.5588235      Cori        1          0.00
## 668       1    84        ACA       1.6330275      Cori        1          0.00
## 669       1    84         DG       2.7941176      Cori        1          0.00
## 670       1    84       VISp       2.0168539      Cori        1          0.00
## 671       1    84         LS       2.1007194      Cori        1          0.00
## 672       1    84        SUB       2.3733333      Cori        1          0.00
## 673       1    85         DG       1.8235294      Cori       -1          0.50
## 674       1    85        SUB       2.0266667      Cori       -1          0.50
## 675       1    85       root       0.5000000      Cori       -1          0.50
## 676       1    85        MOs       0.7610619      Cori       -1          0.50
## 677       1    85        CA3       1.6323529      Cori       -1          0.50
## 678       1    85        ACA       0.8715596      Cori       -1          0.50
## 679       1    85       VISp       1.2528090      Cori       -1          0.50
## 680       1    85         LS       1.4892086      Cori       -1          0.50
## 681       1    86         LS       1.8489209      Cori        1          0.00
## 682       1    86        MOs       1.0796460      Cori        1          0.00
## 683       1    86       root       1.4444444      Cori        1          0.00
## 684       1    86       VISp       1.9550562      Cori        1          0.00
## 685       1    86         DG       2.8235294      Cori        1          0.00
## 686       1    86        ACA       1.3761468      Cori        1          0.00
## 687       1    86        CA3       2.0147059      Cori        1          0.00
## 688       1    86        SUB       2.6933333      Cori        1          0.00
## 689       1    87       VISp       1.5449438      Cori       -1          1.00
## 690       1    87        MOs       0.6017699      Cori       -1          1.00
## 691       1    87        ACA       0.5229358      Cori       -1          1.00
## 692       1    87        CA3       2.2794118      Cori       -1          1.00
## 693       1    87        SUB       2.2533333      Cori       -1          1.00
## 694       1    87         DG       1.8529412      Cori       -1          1.00
## 695       1    87         LS       0.8057554      Cori       -1          1.00
## 696       1    87       root       0.5000000      Cori       -1          1.00
## 697       1    88        CA3       1.7352941      Cori        1          0.25
## 698       1    88        SUB       2.9200000      Cori        1          0.25
## 699       1    88         LS       1.7985612      Cori        1          0.25
## 700       1    88        ACA       1.3761468      Cori        1          0.25
## 701       1    88       root       1.2222222      Cori        1          0.25
## 702       1    88       VISp       1.6966292      Cori        1          0.25
## 703       1    88         DG       3.2647059      Cori        1          0.25
## 704       1    88        MOs       1.0884956      Cori        1          0.25
## 705       1    89         LS       1.3669065      Cori       -1          1.00
## 706       1    89        CA3       2.0735294      Cori       -1          1.00
## 707       1    89       VISp       1.3202247      Cori       -1          1.00
## 708       1    89       root       0.7777778      Cori       -1          1.00
## 709       1    89        SUB       1.9333333      Cori       -1          1.00
## 710       1    89        MOs       0.7079646      Cori       -1          1.00
## 711       1    89        ACA       1.0000000      Cori       -1          1.00
## 712       1    89         DG       1.6764706      Cori       -1          1.00
## 713       1    90       VISp       1.1797753      Cori       -1          1.00
## 714       1    90         DG       1.5000000      Cori       -1          1.00
## 715       1    90        SUB       1.8933333      Cori       -1          1.00
## 716       1    90        CA3       1.8382353      Cori       -1          1.00
## 717       1    90         LS       1.4028777      Cori       -1          1.00
## 718       1    90        MOs       0.7699115      Cori       -1          1.00
## 719       1    90        ACA       0.9449541      Cori       -1          1.00
## 720       1    90       root       0.7777778      Cori       -1          1.00
## 721       1    91         LS       1.4100719      Cori       -1          1.00
## 722       1    91        ACA       0.6880734      Cori       -1          1.00
## 723       1    91        CA3       1.7794118      Cori       -1          1.00
## 724       1    91        MOs       0.7256637      Cori       -1          1.00
## 725       1    91       VISp       1.3876404      Cori       -1          1.00
## 726       1    91        SUB       2.4133333      Cori       -1          1.00
## 727       1    91         DG       1.7058824      Cori       -1          1.00
## 728       1    91       root       0.8888889      Cori       -1          1.00
## 729       1    92        CA3       1.5441176      Cori       -1          1.00
## 730       1    92        ACA       0.6972477      Cori       -1          1.00
## 731       1    92         DG       2.0294118      Cori       -1          1.00
## 732       1    92       root       1.5000000      Cori       -1          1.00
## 733       1    92       VISp       1.5730337      Cori       -1          1.00
## 734       1    92        SUB       3.0933333      Cori       -1          1.00
## 735       1    92        MOs       0.8938053      Cori       -1          1.00
## 736       1    92         LS       1.3956835      Cori       -1          1.00
## 737       1    93        MOs       0.6548673      Cori        1          0.25
## 738       1    93       VISp       1.5505618      Cori        1          0.25
## 739       1    93       root       0.9444444      Cori        1          0.25
## 740       1    93         DG       1.7352941      Cori        1          0.25
## 741       1    93        CA3       1.8676471      Cori        1          0.25
## 742       1    93        SUB       1.8933333      Cori        1          0.25
## 743       1    93         LS       1.0791367      Cori        1          0.25
## 744       1    93        ACA       0.7522936      Cori        1          0.25
## 745       1    94        ACA       0.7706422      Cori       -1          0.00
## 746       1    94         DG       1.4705882      Cori       -1          0.00
## 747       1    94         LS       1.1798561      Cori       -1          0.00
## 748       1    94       root       0.8333333      Cori       -1          0.00
## 749       1    94        SUB       1.7333333      Cori       -1          0.00
## 750       1    94        MOs       0.8053097      Cori       -1          0.00
## 751       1    94        CA3       1.7647059      Cori       -1          0.00
## 752       1    94       VISp       1.6123596      Cori       -1          0.00
## 753       1    95        CA3       1.7941176      Cori        1          0.00
## 754       1    95        ACA       1.2568807      Cori        1          0.00
## 755       1    95        SUB       2.0800000      Cori        1          0.00
## 756       1    95         LS       1.6330935      Cori        1          0.00
## 757       1    95         DG       2.0882353      Cori        1          0.00
## 758       1    95       VISp       1.4775281      Cori        1          0.00
## 759       1    95        MOs       0.9823009      Cori        1          0.00
## 760       1    95       root       1.1111111      Cori        1          0.00
## 761       1    96         DG       1.7352941      Cori       -1          0.00
## 762       1    96       root       0.9444444      Cori       -1          0.00
## 763       1    96        SUB       2.0000000      Cori       -1          0.00
## 764       1    96       VISp       1.4382022      Cori       -1          0.00
## 765       1    96        ACA       0.5688073      Cori       -1          0.00
## 766       1    96        CA3       2.0588235      Cori       -1          0.00
## 767       1    96         LS       1.2086331      Cori       -1          0.00
## 768       1    96        MOs       0.8053097      Cori       -1          0.00
## 769       1    97        SUB       1.8133333      Cori        1          0.50
## 770       1    97         DG       1.4705882      Cori        1          0.50
## 771       1    97        CA3       1.6911765      Cori        1          0.50
## 772       1    97       VISp       1.1404494      Cori        1          0.50
## 773       1    97         LS       1.5323741      Cori        1          0.50
## 774       1    97        MOs       0.9380531      Cori        1          0.50
## 775       1    97       root       0.3888889      Cori        1          0.50
## 776       1    97        ACA       0.6513761      Cori        1          0.50
## 777       1    98        CA3       1.5588235      Cori        1          1.00
## 778       1    98         DG       1.9705882      Cori        1          1.00
## 779       1    98        MOs       0.9292035      Cori        1          1.00
## 780       1    98       root       0.7222222      Cori        1          1.00
## 781       1    98        ACA       1.2660550      Cori        1          1.00
## 782       1    98         LS       1.6762590      Cori        1          1.00
## 783       1    98        SUB       1.9733333      Cori        1          1.00
## 784       1    98       VISp       1.2696629      Cori        1          1.00
## 785       1    99         DG       3.6176471      Cori        1          0.00
## 786       1    99        SUB       2.9333333      Cori        1          0.00
## 787       1    99       VISp       1.9662921      Cori        1          0.00
## 788       1    99        MOs       1.2300885      Cori        1          0.00
## 789       1    99        ACA       1.5688073      Cori        1          0.00
## 790       1    99       root       1.8888889      Cori        1          0.00
## 791       1    99         LS       1.9712230      Cori        1          0.00
## 792       1    99        CA3       2.0882353      Cori        1          0.00
## 793       1   100         LS       1.1582734      Cori       -1          0.00
## 794       1   100        CA3       1.8529412      Cori       -1          0.00
## 795       1   100       root       0.8888889      Cori       -1          0.00
## 796       1   100        SUB       2.2266667      Cori       -1          0.00
## 797       1   100        MOs       0.7433628      Cori       -1          0.00
## 798       1   100         DG       2.2352941      Cori       -1          0.00
## 799       1   100        ACA       0.7431193      Cori       -1          0.00
##     leftcontrast contrastdiff avg_spike_count_session_mean
## 1           0.00          0.5                     1.587192
## 2           0.00          0.5                     1.587192
## 3           0.00          0.5                     1.587192
## 4           0.00          0.5                     1.587192
## 5           0.00          0.5                     1.587192
## 6           0.00          0.5                     1.587192
## 7           0.00          0.5                     1.587192
## 8           0.00          0.5                     1.587192
## 9           0.00            0                     1.587192
## 10          0.00            0                     1.587192
## 11          0.00            0                     1.587192
## 12          0.00            0                     1.587192
## 13          0.00            0                     1.587192
## 14          0.00            0                     1.587192
## 15          0.00            0                     1.587192
## 16          0.00            0                     1.587192
## 17          0.50          0.5                     1.587192
## 18          0.50          0.5                     1.587192
## 19          0.50          0.5                     1.587192
## 20          0.50          0.5                     1.587192
## 21          0.50          0.5                     1.587192
## 22          0.50          0.5                     1.587192
## 23          0.50          0.5                     1.587192
## 24          0.50          0.5                     1.587192
## 25          0.00            0                     1.587192
## 26          0.00            0                     1.587192
## 27          0.00            0                     1.587192
## 28          0.00            0                     1.587192
## 29          0.00            0                     1.587192
## 30          0.00            0                     1.587192
## 31          0.00            0                     1.587192
## 32          0.00            0                     1.587192
## 33          0.00            0                     1.587192
## 34          0.00            0                     1.587192
## 35          0.00            0                     1.587192
## 36          0.00            0                     1.587192
## 37          0.00            0                     1.587192
## 38          0.00            0                     1.587192
## 39          0.00            0                     1.587192
## 40          0.00            0                     1.587192
## 41          0.00            0                     1.587192
## 42          0.00            0                     1.587192
## 43          0.00            0                     1.587192
## 44          0.00            0                     1.587192
## 45          0.00            0                     1.587192
## 46          0.00            0                     1.587192
## 47          0.00            0                     1.587192
## 48          0.00            0                     1.587192
## 49          1.00         -0.5                     1.587192
## 50          1.00         -0.5                     1.587192
## 51          1.00         -0.5                     1.587192
## 52          1.00         -0.5                     1.587192
## 53          1.00         -0.5                     1.587192
## 54          1.00         -0.5                     1.587192
## 55          1.00         -0.5                     1.587192
## 56          1.00         -0.5                     1.587192
## 57          0.50         -0.5                     1.587192
## 58          0.50         -0.5                     1.587192
## 59          0.50         -0.5                     1.587192
## 60          0.50         -0.5                     1.587192
## 61          0.50         -0.5                     1.587192
## 62          0.50         -0.5                     1.587192
## 63          0.50         -0.5                     1.587192
## 64          0.50         -0.5                     1.587192
## 65          0.00            0                     1.587192
## 66          0.00            0                     1.587192
## 67          0.00            0                     1.587192
## 68          0.00            0                     1.587192
## 69          0.00            0                     1.587192
## 70          0.00            0                     1.587192
## 71          0.00            0                     1.587192
## 72          0.00            0                     1.587192
## 73          0.50        -0.25                     1.587192
## 74          0.50        -0.25                     1.587192
## 75          0.50        -0.25                     1.587192
## 76          0.50        -0.25                     1.587192
## 77          0.50        -0.25                     1.587192
## 78          0.50        -0.25                     1.587192
## 79          0.50        -0.25                     1.587192
## 80          0.50        -0.25                     1.587192
## 81          0.50         -0.5                     1.587192
## 82          0.50         -0.5                     1.587192
## 83          0.50         -0.5                     1.587192
## 84          0.50         -0.5                     1.587192
## 85          0.50         -0.5                     1.587192
## 86          0.50         -0.5                     1.587192
## 87          0.50         -0.5                     1.587192
## 88          0.50         -0.5                     1.587192
## 89          0.00            1                     1.587192
## 90          0.00            1                     1.587192
## 91          0.00            1                     1.587192
## 92          0.00            1                     1.587192
## 93          0.00            1                     1.587192
## 94          0.00            1                     1.587192
## 95          0.00            1                     1.587192
## 96          0.00            1                     1.587192
## 97          1.00            0                     1.587192
## 98          1.00            0                     1.587192
## 99          1.00            0                     1.587192
## 100         1.00            0                     1.587192
## 101         1.00            0                     1.587192
## 102         1.00            0                     1.587192
## 103         1.00            0                     1.587192
## 104         1.00            0                     1.587192
## 105         0.00            0                     1.587192
## 106         0.00            0                     1.587192
## 107         0.00            0                     1.587192
## 108         0.00            0                     1.587192
## 109         0.00            0                     1.587192
## 110         0.00            0                     1.587192
## 111         0.00            0                     1.587192
## 112         0.00            0                     1.587192
## 113         0.00            0                     1.587192
## 114         0.00            0                     1.587192
## 115         0.00            0                     1.587192
## 116         0.00            0                     1.587192
## 117         0.00            0                     1.587192
## 118         0.00            0                     1.587192
## 119         0.00            0                     1.587192
## 120         0.00            0                     1.587192
## 121         0.00            0                     1.587192
## 122         0.00            0                     1.587192
## 123         0.00            0                     1.587192
## 124         0.00            0                     1.587192
## 125         0.00            0                     1.587192
## 126         0.00            0                     1.587192
## 127         0.00            0                     1.587192
## 128         0.00            0                     1.587192
## 129         0.00            0                     1.587192
## 130         0.00            0                     1.587192
## 131         0.00            0                     1.587192
## 132         0.00            0                     1.587192
## 133         0.00            0                     1.587192
## 134         0.00            0                     1.587192
## 135         0.00            0                     1.587192
## 136         0.00            0                     1.587192
## 137         0.00          0.5                     1.587192
## 138         0.00          0.5                     1.587192
## 139         0.00          0.5                     1.587192
## 140         0.00          0.5                     1.587192
## 141         0.00          0.5                     1.587192
## 142         0.00          0.5                     1.587192
## 143         0.00          0.5                     1.587192
## 144         0.00          0.5                     1.587192
## 145         0.50        -0.25                     1.587192
## 146         0.50        -0.25                     1.587192
## 147         0.50        -0.25                     1.587192
## 148         0.50        -0.25                     1.587192
## 149         0.50        -0.25                     1.587192
## 150         0.50        -0.25                     1.587192
## 151         0.50        -0.25                     1.587192
## 152         0.50        -0.25                     1.587192
## 153         0.25         0.75                     1.587192
## 154         0.25         0.75                     1.587192
## 155         0.25         0.75                     1.587192
## 156         0.25         0.75                     1.587192
## 157         0.25         0.75                     1.587192
## 158         0.25         0.75                     1.587192
## 159         0.25         0.75                     1.587192
## 160         0.25         0.75                     1.587192
## 161         0.00            0                     1.587192
## 162         0.00            0                     1.587192
## 163         0.00            0                     1.587192
## 164         0.00            0                     1.587192
## 165         0.00            0                     1.587192
## 166         0.00            0                     1.587192
## 167         0.00            0                     1.587192
## 168         0.00            0                     1.587192
## 169         1.00         -0.5                     1.587192
## 170         1.00         -0.5                     1.587192
## 171         1.00         -0.5                     1.587192
## 172         1.00         -0.5                     1.587192
## 173         1.00         -0.5                     1.587192
## 174         1.00         -0.5                     1.587192
## 175         1.00         -0.5                     1.587192
## 176         1.00         -0.5                     1.587192
## 177         0.00            0                     1.587192
## 178         0.00            0                     1.587192
## 179         0.00            0                     1.587192
## 180         0.00            0                     1.587192
## 181         0.00            0                     1.587192
## 182         0.00            0                     1.587192
## 183         0.00            0                     1.587192
## 184         0.00            0                     1.587192
## 185         0.00            0                     1.587192
## 186         0.00            0                     1.587192
## 187         0.00            0                     1.587192
## 188         0.00            0                     1.587192
## 189         0.00            0                     1.587192
## 190         0.00            0                     1.587192
## 191         0.00            0                     1.587192
## 192         0.00            0                     1.587192
## 193         0.00         0.25                     1.587192
## 194         0.00         0.25                     1.587192
## 195         0.00         0.25                     1.587192
## 196         0.00         0.25                     1.587192
## 197         0.00         0.25                     1.587192
## 198         0.00         0.25                     1.587192
## 199         0.00         0.25                     1.587192
## 200         0.00         0.25                     1.587192
## 201         1.00        -0.75                     1.587192
## 202         1.00        -0.75                     1.587192
## 203         1.00        -0.75                     1.587192
## 204         1.00        -0.75                     1.587192
## 205         1.00        -0.75                     1.587192
## 206         1.00        -0.75                     1.587192
## 207         1.00        -0.75                     1.587192
## 208         1.00        -0.75                     1.587192
## 209         0.00          0.5                     1.587192
## 210         0.00          0.5                     1.587192
## 211         0.00          0.5                     1.587192
## 212         0.00          0.5                     1.587192
## 213         0.00          0.5                     1.587192
## 214         0.00          0.5                     1.587192
## 215         0.00          0.5                     1.587192
## 216         0.00          0.5                     1.587192
## 217         0.00            0                     1.587192
## 218         0.00            0                     1.587192
## 219         0.00            0                     1.587192
## 220         0.00            0                     1.587192
## 221         0.00            0                     1.587192
## 222         0.00            0                     1.587192
## 223         0.00            0                     1.587192
## 224         0.00            0                     1.587192
## 225         0.00            0                     1.587192
## 226         0.00            0                     1.587192
## 227         0.00            0                     1.587192
## 228         0.00            0                     1.587192
## 229         0.00            0                     1.587192
## 230         0.00            0                     1.587192
## 231         0.00            0                     1.587192
## 232         0.00            0                     1.587192
## 233         0.00          0.5                     1.587192
## 234         0.00          0.5                     1.587192
## 235         0.00          0.5                     1.587192
## 236         0.00          0.5                     1.587192
## 237         0.00          0.5                     1.587192
## 238         0.00          0.5                     1.587192
## 239         0.00          0.5                     1.587192
## 240         0.00          0.5                     1.587192
## 241         0.50         -0.5                     1.587192
## 242         0.50         -0.5                     1.587192
## 243         0.50         -0.5                     1.587192
## 244         0.50         -0.5                     1.587192
## 245         0.50         -0.5                     1.587192
## 246         0.50         -0.5                     1.587192
## 247         0.50         -0.5                     1.587192
## 248         0.50         -0.5                     1.587192
## 249         0.00            0                     1.587192
## 250         0.00            0                     1.587192
## 251         0.00            0                     1.587192
## 252         0.00            0                     1.587192
## 253         0.00            0                     1.587192
## 254         0.00            0                     1.587192
## 255         0.00            0                     1.587192
## 256         0.00            0                     1.587192
## 257         0.00            0                     1.587192
## 258         0.00            0                     1.587192
## 259         0.00            0                     1.587192
## 260         0.00            0                     1.587192
## 261         0.00            0                     1.587192
## 262         0.00            0                     1.587192
## 263         0.00            0                     1.587192
## 264         0.00            0                     1.587192
## 265         0.50            0                     1.587192
## 266         0.50            0                     1.587192
## 267         0.50            0                     1.587192
## 268         0.50            0                     1.587192
## 269         0.50            0                     1.587192
## 270         0.50            0                     1.587192
## 271         0.50            0                     1.587192
## 272         0.50            0                     1.587192
## 273         0.00         0.25                     1.587192
## 274         0.00         0.25                     1.587192
## 275         0.00         0.25                     1.587192
## 276         0.00         0.25                     1.587192
## 277         0.00         0.25                     1.587192
## 278         0.00         0.25                     1.587192
## 279         0.00         0.25                     1.587192
## 280         0.00         0.25                     1.587192
## 281         0.00            1                     1.587192
## 282         0.00            1                     1.587192
## 283         0.00            1                     1.587192
## 284         0.00            1                     1.587192
## 285         0.00            1                     1.587192
## 286         0.00            1                     1.587192
## 287         0.00            1                     1.587192
## 288         0.00            1                     1.587192
## 289         0.00          0.5                     1.587192
## 290         0.00          0.5                     1.587192
## 291         0.00          0.5                     1.587192
## 292         0.00          0.5                     1.587192
## 293         0.00          0.5                     1.587192
## 294         0.00          0.5                     1.587192
## 295         0.00          0.5                     1.587192
## 296         0.00          0.5                     1.587192
## 297         0.25         0.75                     1.587192
## 298         0.25         0.75                     1.587192
## 299         0.25         0.75                     1.587192
## 300         0.25         0.75                     1.587192
## 301         0.25         0.75                     1.587192
## 302         0.25         0.75                     1.587192
## 303         0.25         0.75                     1.587192
## 304         0.25         0.75                     1.587192
## 305         0.00            0                     1.587192
## 306         0.00            0                     1.587192
## 307         0.00            0                     1.587192
## 308         0.00            0                     1.587192
## 309         0.00            0                     1.587192
## 310         0.00            0                     1.587192
## 311         0.00            0                     1.587192
## 312         0.00            0                     1.587192
## 313         1.00           -1                     1.587192
## 314         1.00           -1                     1.587192
## 315         1.00           -1                     1.587192
## 316         1.00           -1                     1.587192
## 317         1.00           -1                     1.587192
## 318         1.00           -1                     1.587192
## 319         1.00           -1                     1.587192
## 320         1.00           -1                     1.587192
## 321         0.00          0.5                     1.587192
## 322         0.00          0.5                     1.587192
## 323         0.00          0.5                     1.587192
## 324         0.00          0.5                     1.587192
## 325         0.00          0.5                     1.587192
## 326         0.00          0.5                     1.587192
## 327         0.00          0.5                     1.587192
## 328         0.00          0.5                     1.587192
## 329         0.00          0.5                     1.587192
## 330         0.00          0.5                     1.587192
## 331         0.00          0.5                     1.587192
## 332         0.00          0.5                     1.587192
## 333         0.00          0.5                     1.587192
## 334         0.00          0.5                     1.587192
## 335         0.00          0.5                     1.587192
## 336         0.00          0.5                     1.587192
## 337         1.00           -1                     1.587192
## 338         1.00           -1                     1.587192
## 339         1.00           -1                     1.587192
## 340         1.00           -1                     1.587192
## 341         1.00           -1                     1.587192
## 342         1.00           -1                     1.587192
## 343         1.00           -1                     1.587192
## 344         1.00           -1                     1.587192
## 345         1.00        -0.75                     1.587192
## 346         1.00        -0.75                     1.587192
## 347         1.00        -0.75                     1.587192
## 348         1.00        -0.75                     1.587192
## 349         1.00        -0.75                     1.587192
## 350         1.00        -0.75                     1.587192
## 351         1.00        -0.75                     1.587192
## 352         1.00        -0.75                     1.587192
## 353         0.50          0.5                     1.587192
## 354         0.50          0.5                     1.587192
## 355         0.50          0.5                     1.587192
## 356         0.50          0.5                     1.587192
## 357         0.50          0.5                     1.587192
## 358         0.50          0.5                     1.587192
## 359         0.50          0.5                     1.587192
## 360         0.50          0.5                     1.587192
## 361         1.00           -1                     1.587192
## 362         1.00           -1                     1.587192
## 363         1.00           -1                     1.587192
## 364         1.00           -1                     1.587192
## 365         1.00           -1                     1.587192
## 366         1.00           -1                     1.587192
## 367         1.00           -1                     1.587192
## 368         1.00           -1                     1.587192
## 369         1.00            0                     1.587192
## 370         1.00            0                     1.587192
## 371         1.00            0                     1.587192
## 372         1.00            0                     1.587192
## 373         1.00            0                     1.587192
## 374         1.00            0                     1.587192
## 375         1.00            0                     1.587192
## 376         1.00            0                     1.587192
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## 380         0.00            0                     1.587192
## 381         0.00            0                     1.587192
## 382         0.00            0                     1.587192
## 383         0.00            0                     1.587192
## 384         0.00            0                     1.587192
## 385         0.25         0.75                     1.587192
## 386         0.25         0.75                     1.587192
## 387         0.25         0.75                     1.587192
## 388         0.25         0.75                     1.587192
## 389         0.25         0.75                     1.587192
## 390         0.25         0.75                     1.587192
## 391         0.25         0.75                     1.587192
## 392         0.25         0.75                     1.587192
## 393         0.25         0.75                     1.587192
## 394         0.25         0.75                     1.587192
## 395         0.25         0.75                     1.587192
## 396         0.25         0.75                     1.587192
## 397         0.25         0.75                     1.587192
## 398         0.25         0.75                     1.587192
## 399         0.25         0.75                     1.587192
## 400         0.25         0.75                     1.587192
## 401         0.50         -0.5                     1.587192
## 402         0.50         -0.5                     1.587192
## 403         0.50         -0.5                     1.587192
## 404         0.50         -0.5                     1.587192
## 405         0.50         -0.5                     1.587192
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## 407         0.50         -0.5                     1.587192
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## 409         1.00           -1                     1.587192
## 410         1.00           -1                     1.587192
## 411         1.00           -1                     1.587192
## 412         1.00           -1                     1.587192
## 413         1.00           -1                     1.587192
## 414         1.00           -1                     1.587192
## 415         1.00           -1                     1.587192
## 416         1.00           -1                     1.587192
## 417         0.25         0.25                     1.587192
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## 419         0.25         0.25                     1.587192
## 420         0.25         0.25                     1.587192
## 421         0.25         0.25                     1.587192
## 422         0.25         0.25                     1.587192
## 423         0.25         0.25                     1.587192
## 424         0.25         0.25                     1.587192
## 425         0.50         -0.5                     1.587192
## 426         0.50         -0.5                     1.587192
## 427         0.50         -0.5                     1.587192
## 428         0.50         -0.5                     1.587192
## 429         0.50         -0.5                     1.587192
## 430         0.50         -0.5                     1.587192
## 431         0.50         -0.5                     1.587192
## 432         0.50         -0.5                     1.587192
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## 435         0.00          0.5                     1.587192
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## 438         0.00          0.5                     1.587192
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## 440         0.00          0.5                     1.587192
## 441         0.00            1                     1.587192
## 442         0.00            1                     1.587192
## 443         0.00            1                     1.587192
## 444         0.00            1                     1.587192
## 445         0.00            1                     1.587192
## 446         0.00            1                     1.587192
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## 451         0.25         0.75                     1.587192
## 452         0.25         0.75                     1.587192
## 453         0.25         0.75                     1.587192
## 454         0.25         0.75                     1.587192
## 455         0.25         0.75                     1.587192
## 456         0.25         0.75                     1.587192
## 457         0.25         0.75                     1.587192
## 458         0.25         0.75                     1.587192
## 459         0.25         0.75                     1.587192
## 460         0.25         0.75                     1.587192
## 461         0.25         0.75                     1.587192
## 462         0.25         0.75                     1.587192
## 463         0.25         0.75                     1.587192
## 464         0.25         0.75                     1.587192
## 465         0.25         0.75                     1.587192
## 466         0.25         0.75                     1.587192
## 467         0.25         0.75                     1.587192
## 468         0.25         0.75                     1.587192
## 469         0.25         0.75                     1.587192
## 470         0.25         0.75                     1.587192
## 471         0.25         0.75                     1.587192
## 472         0.25         0.75                     1.587192
## 473         0.00            1                     1.587192
## 474         0.00            1                     1.587192
## 475         0.00            1                     1.587192
## 476         0.00            1                     1.587192
## 477         0.00            1                     1.587192
## 478         0.00            1                     1.587192
## 479         0.00            1                     1.587192
## 480         0.00            1                     1.587192
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## 482         0.00            1                     1.587192
## 483         0.00            1                     1.587192
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## 485         0.00            1                     1.587192
## 486         0.00            1                     1.587192
## 487         0.00            1                     1.587192
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## 489         0.00            1                     1.587192
## 490         0.00            1                     1.587192
## 491         0.00            1                     1.587192
## 492         0.00            1                     1.587192
## 493         0.00            1                     1.587192
## 494         0.00            1                     1.587192
## 495         0.00            1                     1.587192
## 496         0.00            1                     1.587192
## 497         0.25            0                     1.587192
## 498         0.25            0                     1.587192
## 499         0.25            0                     1.587192
## 500         0.25            0                     1.587192
## 501         0.25            0                     1.587192
## 502         0.25            0                     1.587192
## 503         0.25            0                     1.587192
## 504         0.25            0                     1.587192
## 505         0.25         0.75                     1.587192
## 506         0.25         0.75                     1.587192
## 507         0.25         0.75                     1.587192
## 508         0.25         0.75                     1.587192
## 509         0.25         0.75                     1.587192
## 510         0.25         0.75                     1.587192
## 511         0.25         0.75                     1.587192
## 512         0.25         0.75                     1.587192
## 513         0.25         0.75                     1.587192
## 514         0.25         0.75                     1.587192
## 515         0.25         0.75                     1.587192
## 516         0.25         0.75                     1.587192
## 517         0.25         0.75                     1.587192
## 518         0.25         0.75                     1.587192
## 519         0.25         0.75                     1.587192
## 520         0.25         0.75                     1.587192
## 521         0.25         0.75                     1.587192
## 522         0.25         0.75                     1.587192
## 523         0.25         0.75                     1.587192
## 524         0.25         0.75                     1.587192
## 525         0.25         0.75                     1.587192
## 526         0.25         0.75                     1.587192
## 527         0.25         0.75                     1.587192
## 528         0.25         0.75                     1.587192
## 529         0.25         0.75                     1.587192
## 530         0.25         0.75                     1.587192
## 531         0.25         0.75                     1.587192
## 532         0.25         0.75                     1.587192
## 533         0.25         0.75                     1.587192
## 534         0.25         0.75                     1.587192
## 535         0.25         0.75                     1.587192
## 536         0.25         0.75                     1.587192
## 537         0.00            0                     1.587192
## 538         0.00            0                     1.587192
## 539         0.00            0                     1.587192
## 540         0.00            0                     1.587192
## 541         0.00            0                     1.587192
## 542         0.00            0                     1.587192
## 543         0.00            0                     1.587192
## 544         0.00            0                     1.587192
## 545         0.50         -0.5                     1.587192
## 546         0.50         -0.5                     1.587192
## 547         0.50         -0.5                     1.587192
## 548         0.50         -0.5                     1.587192
## 549         0.50         -0.5                     1.587192
## 550         0.50         -0.5                     1.587192
## 551         0.50         -0.5                     1.587192
## 552         0.50         -0.5                     1.587192
## 553         0.00            0                     1.587192
## 554         0.00            0                     1.587192
## 555         0.00            0                     1.587192
## 556         0.00            0                     1.587192
## 557         0.00            0                     1.587192
## 558         0.00            0                     1.587192
## 559         0.00            0                     1.587192
## 560         0.00            0                     1.587192
## 561         0.00            1                     1.587192
## 562         0.00            1                     1.587192
## 563         0.00            1                     1.587192
## 564         0.00            1                     1.587192
## 565         0.00            1                     1.587192
## 566         0.00            1                     1.587192
## 567         0.00            1                     1.587192
## 568         0.00            1                     1.587192
## 569         0.00            0                     1.587192
## 570         0.00            0                     1.587192
## 571         0.00            0                     1.587192
## 572         0.00            0                     1.587192
## 573         0.00            0                     1.587192
## 574         0.00            0                     1.587192
## 575         0.00            0                     1.587192
## 576         0.00            0                     1.587192
## 577         0.00         0.25                     1.587192
## 578         0.00         0.25                     1.587192
## 579         0.00         0.25                     1.587192
## 580         0.00         0.25                     1.587192
## 581         0.00         0.25                     1.587192
## 582         0.00         0.25                     1.587192
## 583         0.00         0.25                     1.587192
## 584         0.00         0.25                     1.587192
## 585         0.00            0                     1.587192
## 586         0.00            0                     1.587192
## 587         0.00            0                     1.587192
## 588         0.00            0                     1.587192
## 589         0.00            0                     1.587192
## 590         0.00            0                     1.587192
## 591         0.00            0                     1.587192
## 592         0.00            0                     1.587192
## 593         0.00          0.5                     1.587192
## 594         0.00          0.5                     1.587192
## 595         0.00          0.5                     1.587192
## 596         0.00          0.5                     1.587192
## 597         0.00          0.5                     1.587192
## 598         0.00          0.5                     1.587192
## 599         0.00          0.5                     1.587192
## 600         0.00          0.5                     1.587192
## 601         0.00            1                     1.587192
## 602         0.00            1                     1.587192
## 603         0.00            1                     1.587192
## 604         0.00            1                     1.587192
## 605         0.00            1                     1.587192
## 606         0.00            1                     1.587192
## 607         0.00            1                     1.587192
## 608         0.00            1                     1.587192
## 609         0.25         0.25                     1.587192
## 610         0.25         0.25                     1.587192
## 611         0.25         0.25                     1.587192
## 612         0.25         0.25                     1.587192
## 613         0.25         0.25                     1.587192
## 614         0.25         0.25                     1.587192
## 615         0.25         0.25                     1.587192
## 616         0.25         0.25                     1.587192
## 617         0.00          0.5                     1.587192
## 618         0.00          0.5                     1.587192
## 619         0.00          0.5                     1.587192
## 620         0.00          0.5                     1.587192
## 621         0.00          0.5                     1.587192
## 622         0.00          0.5                     1.587192
## 623         0.00          0.5                     1.587192
## 624         0.00          0.5                     1.587192
## 625         1.00        -0.75                     1.587192
## 626         1.00        -0.75                     1.587192
## 627         1.00        -0.75                     1.587192
## 628         1.00        -0.75                     1.587192
## 629         1.00        -0.75                     1.587192
## 630         1.00        -0.75                     1.587192
## 631         1.00        -0.75                     1.587192
## 632         1.00        -0.75                     1.587192
## 633         0.25         0.25                     1.587192
## 634         0.25         0.25                     1.587192
## 635         0.25         0.25                     1.587192
## 636         0.25         0.25                     1.587192
## 637         0.25         0.25                     1.587192
## 638         0.25         0.25                     1.587192
## 639         0.25         0.25                     1.587192
## 640         0.25         0.25                     1.587192
## 641         0.00            0                     1.587192
## 642         0.00            0                     1.587192
## 643         0.00            0                     1.587192
## 644         0.00            0                     1.587192
## 645         0.00            0                     1.587192
## 646         0.00            0                     1.587192
## 647         0.00            0                     1.587192
## 648         0.00            0                     1.587192
## 649         0.50            0                     1.587192
## 650         0.50            0                     1.587192
## 651         0.50            0                     1.587192
## 652         0.50            0                     1.587192
## 653         0.50            0                     1.587192
## 654         0.50            0                     1.587192
## 655         0.50            0                     1.587192
## 656         0.50            0                     1.587192
## 657         1.00           -1                     1.587192
## 658         1.00           -1                     1.587192
## 659         1.00           -1                     1.587192
## 660         1.00           -1                     1.587192
## 661         1.00           -1                     1.587192
## 662         1.00           -1                     1.587192
## 663         1.00           -1                     1.587192
## 664         1.00           -1                     1.587192
## 665         1.00           -1                     1.587192
## 666         1.00           -1                     1.587192
## 667         1.00           -1                     1.587192
## 668         1.00           -1                     1.587192
## 669         1.00           -1                     1.587192
## 670         1.00           -1                     1.587192
## 671         1.00           -1                     1.587192
## 672         1.00           -1                     1.587192
## 673         0.00          0.5                     1.587192
## 674         0.00          0.5                     1.587192
## 675         0.00          0.5                     1.587192
## 676         0.00          0.5                     1.587192
## 677         0.00          0.5                     1.587192
## 678         0.00          0.5                     1.587192
## 679         0.00          0.5                     1.587192
## 680         0.00          0.5                     1.587192
## 681         1.00           -1                     1.587192
## 682         1.00           -1                     1.587192
## 683         1.00           -1                     1.587192
## 684         1.00           -1                     1.587192
## 685         1.00           -1                     1.587192
## 686         1.00           -1                     1.587192
## 687         1.00           -1                     1.587192
## 688         1.00           -1                     1.587192
## 689         0.00            1                     1.587192
## 690         0.00            1                     1.587192
## 691         0.00            1                     1.587192
## 692         0.00            1                     1.587192
## 693         0.00            1                     1.587192
## 694         0.00            1                     1.587192
## 695         0.00            1                     1.587192
## 696         0.00            1                     1.587192
## 697         0.50        -0.25                     1.587192
## 698         0.50        -0.25                     1.587192
## 699         0.50        -0.25                     1.587192
## 700         0.50        -0.25                     1.587192
## 701         0.50        -0.25                     1.587192
## 702         0.50        -0.25                     1.587192
## 703         0.50        -0.25                     1.587192
## 704         0.50        -0.25                     1.587192
## 705         0.25         0.75                     1.587192
## 706         0.25         0.75                     1.587192
## 707         0.25         0.75                     1.587192
## 708         0.25         0.75                     1.587192
## 709         0.25         0.75                     1.587192
## 710         0.25         0.75                     1.587192
## 711         0.25         0.75                     1.587192
## 712         0.25         0.75                     1.587192
## 713         0.25         0.75                     1.587192
## 714         0.25         0.75                     1.587192
## 715         0.25         0.75                     1.587192
## 716         0.25         0.75                     1.587192
## 717         0.25         0.75                     1.587192
## 718         0.25         0.75                     1.587192
## 719         0.25         0.75                     1.587192
## 720         0.25         0.75                     1.587192
## 721         0.25         0.75                     1.587192
## 722         0.25         0.75                     1.587192
## 723         0.25         0.75                     1.587192
## 724         0.25         0.75                     1.587192
## 725         0.25         0.75                     1.587192
## 726         0.25         0.75                     1.587192
## 727         0.25         0.75                     1.587192
## 728         0.25         0.75                     1.587192
## 729         0.25         0.75                     1.587192
## 730         0.25         0.75                     1.587192
## 731         0.25         0.75                     1.587192
## 732         0.25         0.75                     1.587192
## 733         0.25         0.75                     1.587192
## 734         0.25         0.75                     1.587192
## 735         0.25         0.75                     1.587192
## 736         0.25         0.75                     1.587192
## 737         0.50        -0.25                     1.587192
## 738         0.50        -0.25                     1.587192
## 739         0.50        -0.25                     1.587192
## 740         0.50        -0.25                     1.587192
## 741         0.50        -0.25                     1.587192
## 742         0.50        -0.25                     1.587192
## 743         0.50        -0.25                     1.587192
## 744         0.50        -0.25                     1.587192
## 745         0.50         -0.5                     1.587192
## 746         0.50         -0.5                     1.587192
## 747         0.50         -0.5                     1.587192
## 748         0.50         -0.5                     1.587192
## 749         0.50         -0.5                     1.587192
## 750         0.50         -0.5                     1.587192
## 751         0.50         -0.5                     1.587192
## 752         0.50         -0.5                     1.587192
## 753         1.00           -1                     1.587192
## 754         1.00           -1                     1.587192
## 755         1.00           -1                     1.587192
## 756         1.00           -1                     1.587192
## 757         1.00           -1                     1.587192
## 758         1.00           -1                     1.587192
## 759         1.00           -1                     1.587192
## 760         1.00           -1                     1.587192
## 761         0.50         -0.5                     1.587192
## 762         0.50         -0.5                     1.587192
## 763         0.50         -0.5                     1.587192
## 764         0.50         -0.5                     1.587192
## 765         0.50         -0.5                     1.587192
## 766         0.50         -0.5                     1.587192
## 767         0.50         -0.5                     1.587192
## 768         0.50         -0.5                     1.587192
## 769         0.00          0.5                     1.587192
## 770         0.00          0.5                     1.587192
## 771         0.00          0.5                     1.587192
## 772         0.00          0.5                     1.587192
## 773         0.00          0.5                     1.587192
## 774         0.00          0.5                     1.587192
## 775         0.00          0.5                     1.587192
## 776         0.00          0.5                     1.587192
## 777         0.25         0.75                     1.587192
## 778         0.25         0.75                     1.587192
## 779         0.25         0.75                     1.587192
## 780         0.25         0.75                     1.587192
## 781         0.25         0.75                     1.587192
## 782         0.25         0.75                     1.587192
## 783         0.25         0.75                     1.587192
## 784         0.25         0.75                     1.587192
## 785         1.00           -1                     1.587192
## 786         1.00           -1                     1.587192
## 787         1.00           -1                     1.587192
## 788         1.00           -1                     1.587192
## 789         1.00           -1                     1.587192
## 790         1.00           -1                     1.587192
## 791         1.00           -1                     1.587192
## 792         1.00           -1                     1.587192
## 793         0.25        -0.25                     1.587192
## 794         0.25        -0.25                     1.587192
## 795         0.25        -0.25                     1.587192
## 796         0.25        -0.25                     1.587192
## 797         0.25        -0.25                     1.587192
## 798         0.25        -0.25                     1.587192
## 799         0.25        -0.25                     1.587192
##     avg_spike_count_trial_mean    PC1_score     PC2_score     PC3_score
## 1                     1.532212   6.23314355  -1.603968583   0.477741044
## 2                     1.532212   6.23314355  -1.603968583   0.477741044
## 3                     1.532212   6.23314355  -1.603968583   0.477741044
## 4                     1.532212   6.23314355  -1.603968583   0.477741044
## 5                     1.532212   6.23314355  -1.603968583   0.477741044
## 6                     1.532212   6.23314355  -1.603968583   0.477741044
## 7                     1.532212   6.23314355  -1.603968583   0.477741044
## 8                     1.532212   6.23314355  -1.603968583   0.477741044
## 9                     1.282819  -4.41896101   0.063781517   1.088331843
## 10                    1.282819  -4.41896101   0.063781517   1.088331843
## 11                    1.282819  -4.41896101   0.063781517   1.088331843
## 12                    1.282819  -4.41896101   0.063781517   1.088331843
## 13                    1.282819  -4.41896101   0.063781517   1.088331843
## 14                    1.282819  -4.41896101   0.063781517   1.088331843
## 15                    1.282819  -4.41896101   0.063781517   1.088331843
## 16                    1.282819  -4.41896101   0.063781517   1.088331843
## 17                    1.949552  24.46468703  -6.606811906  -4.434060982
## 18                    1.949552  24.46468703  -6.606811906  -4.434060982
## 19                    1.949552  24.46468703  -6.606811906  -4.434060982
## 20                    1.949552  24.46468703  -6.606811906  -4.434060982
## 21                    1.949552  24.46468703  -6.606811906  -4.434060982
## 22                    1.949552  24.46468703  -6.606811906  -4.434060982
## 23                    1.949552  24.46468703  -6.606811906  -4.434060982
## 24                    1.949552  24.46468703  -6.606811906  -4.434060982
## 25                    1.511712 -15.18244223   6.203218169   6.910487247
## 26                    1.511712 -15.18244223   6.203218169   6.910487247
## 27                    1.511712 -15.18244223   6.203218169   6.910487247
## 28                    1.511712 -15.18244223   6.203218169   6.910487247
## 29                    1.511712 -15.18244223   6.203218169   6.910487247
## 30                    1.511712 -15.18244223   6.203218169   6.910487247
## 31                    1.511712 -15.18244223   6.203218169   6.910487247
## 32                    1.511712 -15.18244223   6.203218169   6.910487247
## 33                    1.467846 -10.30329456   0.829046620  -4.425421860
## 34                    1.467846 -10.30329456   0.829046620  -4.425421860
## 35                    1.467846 -10.30329456   0.829046620  -4.425421860
## 36                    1.467846 -10.30329456   0.829046620  -4.425421860
## 37                    1.467846 -10.30329456   0.829046620  -4.425421860
## 38                    1.467846 -10.30329456   0.829046620  -4.425421860
## 39                    1.467846 -10.30329456   0.829046620  -4.425421860
## 40                    1.467846 -10.30329456   0.829046620  -4.425421860
## 41                    1.101268 -26.92813976   4.702953020   4.690650953
## 42                    1.101268 -26.92813976   4.702953020   4.690650953
## 43                    1.101268 -26.92813976   4.702953020   4.690650953
## 44                    1.101268 -26.92813976   4.702953020   4.690650953
## 45                    1.101268 -26.92813976   4.702953020   4.690650953
## 46                    1.101268 -26.92813976   4.702953020   4.690650953
## 47                    1.101268 -26.92813976   4.702953020   4.690650953
## 48                    1.101268 -26.92813976   4.702953020   4.690650953
## 49                    2.212830  32.79263226  -5.921637360  -4.438167965
## 50                    2.212830  32.79263226  -5.921637360  -4.438167965
## 51                    2.212830  32.79263226  -5.921637360  -4.438167965
## 52                    2.212830  32.79263226  -5.921637360  -4.438167965
## 53                    2.212830  32.79263226  -5.921637360  -4.438167965
## 54                    2.212830  32.79263226  -5.921637360  -4.438167965
## 55                    2.212830  32.79263226  -5.921637360  -4.438167965
## 56                    2.212830  32.79263226  -5.921637360  -4.438167965
## 57                    1.700408   3.85631411   0.448723184   1.568872613
## 58                    1.700408   3.85631411   0.448723184   1.568872613
## 59                    1.700408   3.85631411   0.448723184   1.568872613
## 60                    1.700408   3.85631411   0.448723184   1.568872613
## 61                    1.700408   3.85631411   0.448723184   1.568872613
## 62                    1.700408   3.85631411   0.448723184   1.568872613
## 63                    1.700408   3.85631411   0.448723184   1.568872613
## 64                    1.700408   3.85631411   0.448723184   1.568872613
## 65                    1.570457 -10.19656610   4.063265697  -0.425903542
## 66                    1.570457 -10.19656610   4.063265697  -0.425903542
## 67                    1.570457 -10.19656610   4.063265697  -0.425903542
## 68                    1.570457 -10.19656610   4.063265697  -0.425903542
## 69                    1.570457 -10.19656610   4.063265697  -0.425903542
## 70                    1.570457 -10.19656610   4.063265697  -0.425903542
## 71                    1.570457 -10.19656610   4.063265697  -0.425903542
## 72                    1.570457 -10.19656610   4.063265697  -0.425903542
## 73                    1.770952  20.14590708  -7.892832490   1.398709974
## 74                    1.770952  20.14590708  -7.892832490   1.398709974
## 75                    1.770952  20.14590708  -7.892832490   1.398709974
## 76                    1.770952  20.14590708  -7.892832490   1.398709974
## 77                    1.770952  20.14590708  -7.892832490   1.398709974
## 78                    1.770952  20.14590708  -7.892832490   1.398709974
## 79                    1.770952  20.14590708  -7.892832490   1.398709974
## 80                    1.770952  20.14590708  -7.892832490   1.398709974
## 81                    1.545299   8.84791159  -9.099518173  -1.296627418
## 82                    1.545299   8.84791159  -9.099518173  -1.296627418
## 83                    1.545299   8.84791159  -9.099518173  -1.296627418
## 84                    1.545299   8.84791159  -9.099518173  -1.296627418
## 85                    1.545299   8.84791159  -9.099518173  -1.296627418
## 86                    1.545299   8.84791159  -9.099518173  -1.296627418
## 87                    1.545299   8.84791159  -9.099518173  -1.296627418
## 88                    1.545299   8.84791159  -9.099518173  -1.296627418
## 89                    1.935912  23.55689697 -11.363618424  -1.472987899
## 90                    1.935912  23.55689697 -11.363618424  -1.472987899
## 91                    1.935912  23.55689697 -11.363618424  -1.472987899
## 92                    1.935912  23.55689697 -11.363618424  -1.472987899
## 93                    1.935912  23.55689697 -11.363618424  -1.472987899
## 94                    1.935912  23.55689697 -11.363618424  -1.472987899
## 95                    1.935912  23.55689697 -11.363618424  -1.472987899
## 96                    1.935912  23.55689697 -11.363618424  -1.472987899
## 97                    1.896264  18.11362824   0.414802302   5.294020207
## 98                    1.896264  18.11362824   0.414802302   5.294020207
## 99                    1.896264  18.11362824   0.414802302   5.294020207
## 100                   1.896264  18.11362824   0.414802302   5.294020207
## 101                   1.896264  18.11362824   0.414802302   5.294020207
## 102                   1.896264  18.11362824   0.414802302   5.294020207
## 103                   1.896264  18.11362824   0.414802302   5.294020207
## 104                   1.896264  18.11362824   0.414802302   5.294020207
## 105                   1.488461  -3.85981934  -0.912726481  -0.671871119
## 106                   1.488461  -3.85981934  -0.912726481  -0.671871119
## 107                   1.488461  -3.85981934  -0.912726481  -0.671871119
## 108                   1.488461  -3.85981934  -0.912726481  -0.671871119
## 109                   1.488461  -3.85981934  -0.912726481  -0.671871119
## 110                   1.488461  -3.85981934  -0.912726481  -0.671871119
## 111                   1.488461  -3.85981934  -0.912726481  -0.671871119
## 112                   1.488461  -3.85981934  -0.912726481  -0.671871119
## 113                   1.750295 -11.04831987   3.665898904  -5.991572802
## 114                   1.750295 -11.04831987   3.665898904  -5.991572802
## 115                   1.750295 -11.04831987   3.665898904  -5.991572802
## 116                   1.750295 -11.04831987   3.665898904  -5.991572802
## 117                   1.750295 -11.04831987   3.665898904  -5.991572802
## 118                   1.750295 -11.04831987   3.665898904  -5.991572802
## 119                   1.750295 -11.04831987   3.665898904  -5.991572802
## 120                   1.750295 -11.04831987   3.665898904  -5.991572802
## 121                   1.392064  -7.70576903   3.360455074   4.190812259
## 122                   1.392064  -7.70576903   3.360455074   4.190812259
## 123                   1.392064  -7.70576903   3.360455074   4.190812259
## 124                   1.392064  -7.70576903   3.360455074   4.190812259
## 125                   1.392064  -7.70576903   3.360455074   4.190812259
## 126                   1.392064  -7.70576903   3.360455074   4.190812259
## 127                   1.392064  -7.70576903   3.360455074   4.190812259
## 128                   1.392064  -7.70576903   3.360455074   4.190812259
## 129                   1.427421 -15.55822496   3.273666658  -1.472358719
## 130                   1.427421 -15.55822496   3.273666658  -1.472358719
## 131                   1.427421 -15.55822496   3.273666658  -1.472358719
## 132                   1.427421 -15.55822496   3.273666658  -1.472358719
## 133                   1.427421 -15.55822496   3.273666658  -1.472358719
## 134                   1.427421 -15.55822496   3.273666658  -1.472358719
## 135                   1.427421 -15.55822496   3.273666658  -1.472358719
## 136                   1.427421 -15.55822496   3.273666658  -1.472358719
## 137                   2.129435  41.63242907 -19.369335448 -17.245153479
## 138                   2.129435  41.63242907 -19.369335448 -17.245153479
## 139                   2.129435  41.63242907 -19.369335448 -17.245153479
## 140                   2.129435  41.63242907 -19.369335448 -17.245153479
## 141                   2.129435  41.63242907 -19.369335448 -17.245153479
## 142                   2.129435  41.63242907 -19.369335448 -17.245153479
## 143                   2.129435  41.63242907 -19.369335448 -17.245153479
## 144                   2.129435  41.63242907 -19.369335448 -17.245153479
## 145                   2.056584  22.17328423  -1.896369907  -1.856322077
## 146                   2.056584  22.17328423  -1.896369907  -1.856322077
## 147                   2.056584  22.17328423  -1.896369907  -1.856322077
## 148                   2.056584  22.17328423  -1.896369907  -1.856322077
## 149                   2.056584  22.17328423  -1.896369907  -1.856322077
## 150                   2.056584  22.17328423  -1.896369907  -1.856322077
## 151                   2.056584  22.17328423  -1.896369907  -1.856322077
## 152                   2.056584  22.17328423  -1.896369907  -1.856322077
## 153                   2.107518  25.83176742  -0.133443753  16.305228541
## 154                   2.107518  25.83176742  -0.133443753  16.305228541
## 155                   2.107518  25.83176742  -0.133443753  16.305228541
## 156                   2.107518  25.83176742  -0.133443753  16.305228541
## 157                   2.107518  25.83176742  -0.133443753  16.305228541
## 158                   2.107518  25.83176742  -0.133443753  16.305228541
## 159                   2.107518  25.83176742  -0.133443753  16.305228541
## 160                   2.107518  25.83176742  -0.133443753  16.305228541
## 161                   1.242777 -17.49401895   5.429233920   5.024136806
## 162                   1.242777 -17.49401895   5.429233920   5.024136806
## 163                   1.242777 -17.49401895   5.429233920   5.024136806
## 164                   1.242777 -17.49401895   5.429233920   5.024136806
## 165                   1.242777 -17.49401895   5.429233920   5.024136806
## 166                   1.242777 -17.49401895   5.429233920   5.024136806
## 167                   1.242777 -17.49401895   5.429233920   5.024136806
## 168                   1.242777 -17.49401895   5.429233920   5.024136806
## 169                   1.248009   0.12321593  -0.192153650   5.078458434
## 170                   1.248009   0.12321593  -0.192153650   5.078458434
## 171                   1.248009   0.12321593  -0.192153650   5.078458434
## 172                   1.248009   0.12321593  -0.192153650   5.078458434
## 173                   1.248009   0.12321593  -0.192153650   5.078458434
## 174                   1.248009   0.12321593  -0.192153650   5.078458434
## 175                   1.248009   0.12321593  -0.192153650   5.078458434
## 176                   1.248009   0.12321593  -0.192153650   5.078458434
## 177                   1.332307  -2.48791572   6.675629975   6.083463731
## 178                   1.332307  -2.48791572   6.675629975   6.083463731
## 179                   1.332307  -2.48791572   6.675629975   6.083463731
## 180                   1.332307  -2.48791572   6.675629975   6.083463731
## 181                   1.332307  -2.48791572   6.675629975   6.083463731
## 182                   1.332307  -2.48791572   6.675629975   6.083463731
## 183                   1.332307  -2.48791572   6.675629975   6.083463731
## 184                   1.332307  -2.48791572   6.675629975   6.083463731
## 185                   1.687835 -29.87686251  23.724374568  24.671500695
## 186                   1.687835 -29.87686251  23.724374568  24.671500695
## 187                   1.687835 -29.87686251  23.724374568  24.671500695
## 188                   1.687835 -29.87686251  23.724374568  24.671500695
## 189                   1.687835 -29.87686251  23.724374568  24.671500695
## 190                   1.687835 -29.87686251  23.724374568  24.671500695
## 191                   1.687835 -29.87686251  23.724374568  24.671500695
## 192                   1.687835 -29.87686251  23.724374568  24.671500695
## 193                   1.699528   3.33931560  -3.396559216   0.048789304
## 194                   1.699528   3.33931560  -3.396559216   0.048789304
## 195                   1.699528   3.33931560  -3.396559216   0.048789304
## 196                   1.699528   3.33931560  -3.396559216   0.048789304
## 197                   1.699528   3.33931560  -3.396559216   0.048789304
## 198                   1.699528   3.33931560  -3.396559216   0.048789304
## 199                   1.699528   3.33931560  -3.396559216   0.048789304
## 200                   1.699528   3.33931560  -3.396559216   0.048789304
## 201                   1.988648  31.03012059  -3.230907799   0.184373638
## 202                   1.988648  31.03012059  -3.230907799   0.184373638
## 203                   1.988648  31.03012059  -3.230907799   0.184373638
## 204                   1.988648  31.03012059  -3.230907799   0.184373638
## 205                   1.988648  31.03012059  -3.230907799   0.184373638
## 206                   1.988648  31.03012059  -3.230907799   0.184373638
## 207                   1.988648  31.03012059  -3.230907799   0.184373638
## 208                   1.988648  31.03012059  -3.230907799   0.184373638
## 209                   1.961704  26.58427770 -11.124756520  -7.420832502
## 210                   1.961704  26.58427770 -11.124756520  -7.420832502
## 211                   1.961704  26.58427770 -11.124756520  -7.420832502
## 212                   1.961704  26.58427770 -11.124756520  -7.420832502
## 213                   1.961704  26.58427770 -11.124756520  -7.420832502
## 214                   1.961704  26.58427770 -11.124756520  -7.420832502
## 215                   1.961704  26.58427770 -11.124756520  -7.420832502
## 216                   1.961704  26.58427770 -11.124756520  -7.420832502
## 217                   2.433267  59.11789601 168.234523705 -22.267730173
## 218                   2.433267  59.11789601 168.234523705 -22.267730173
## 219                   2.433267  59.11789601 168.234523705 -22.267730173
## 220                   2.433267  59.11789601 168.234523705 -22.267730173
## 221                   2.433267  59.11789601 168.234523705 -22.267730173
## 222                   2.433267  59.11789601 168.234523705 -22.267730173
## 223                   2.433267  59.11789601 168.234523705 -22.267730173
## 224                   2.433267  59.11789601 168.234523705 -22.267730173
## 225                   1.065124 -16.07380133   4.367056865   1.040885637
## 226                   1.065124 -16.07380133   4.367056865   1.040885637
## 227                   1.065124 -16.07380133   4.367056865   1.040885637
## 228                   1.065124 -16.07380133   4.367056865   1.040885637
## 229                   1.065124 -16.07380133   4.367056865   1.040885637
## 230                   1.065124 -16.07380133   4.367056865   1.040885637
## 231                   1.065124 -16.07380133   4.367056865   1.040885637
## 232                   1.065124 -16.07380133   4.367056865   1.040885637
## 233                   2.031494  20.50935956  -5.106349348  -0.987923271
## 234                   2.031494  20.50935956  -5.106349348  -0.987923271
## 235                   2.031494  20.50935956  -5.106349348  -0.987923271
## 236                   2.031494  20.50935956  -5.106349348  -0.987923271
## 237                   2.031494  20.50935956  -5.106349348  -0.987923271
## 238                   2.031494  20.50935956  -5.106349348  -0.987923271
## 239                   2.031494  20.50935956  -5.106349348  -0.987923271
## 240                   2.031494  20.50935956  -5.106349348  -0.987923271
## 241                   1.768648  17.64589659  -3.820947683   3.940943108
## 242                   1.768648  17.64589659  -3.820947683   3.940943108
## 243                   1.768648  17.64589659  -3.820947683   3.940943108
## 244                   1.768648  17.64589659  -3.820947683   3.940943108
## 245                   1.768648  17.64589659  -3.820947683   3.940943108
## 246                   1.768648  17.64589659  -3.820947683   3.940943108
## 247                   1.768648  17.64589659  -3.820947683   3.940943108
## 248                   1.768648  17.64589659  -3.820947683   3.940943108
## 249                   1.295795 -17.89513729   4.934336085  -2.954943422
## 250                   1.295795 -17.89513729   4.934336085  -2.954943422
## 251                   1.295795 -17.89513729   4.934336085  -2.954943422
## 252                   1.295795 -17.89513729   4.934336085  -2.954943422
## 253                   1.295795 -17.89513729   4.934336085  -2.954943422
## 254                   1.295795 -17.89513729   4.934336085  -2.954943422
## 255                   1.295795 -17.89513729   4.934336085  -2.954943422
## 256                   1.295795 -17.89513729   4.934336085  -2.954943422
## 257                   1.271087  -9.24192251   1.738185692   1.705935319
## 258                   1.271087  -9.24192251   1.738185692   1.705935319
## 259                   1.271087  -9.24192251   1.738185692   1.705935319
## 260                   1.271087  -9.24192251   1.738185692   1.705935319
## 261                   1.271087  -9.24192251   1.738185692   1.705935319
## 262                   1.271087  -9.24192251   1.738185692   1.705935319
## 263                   1.271087  -9.24192251   1.738185692   1.705935319
## 264                   1.271087  -9.24192251   1.738185692   1.705935319
## 265                   1.664455   9.76205120  -4.032374889   3.241274169
## 266                   1.664455   9.76205120  -4.032374889   3.241274169
## 267                   1.664455   9.76205120  -4.032374889   3.241274169
## 268                   1.664455   9.76205120  -4.032374889   3.241274169
## 269                   1.664455   9.76205120  -4.032374889   3.241274169
## 270                   1.664455   9.76205120  -4.032374889   3.241274169
## 271                   1.664455   9.76205120  -4.032374889   3.241274169
## 272                   1.664455   9.76205120  -4.032374889   3.241274169
## 273                   1.936979  18.88564484  -5.554654503   0.255583258
## 274                   1.936979  18.88564484  -5.554654503   0.255583258
## 275                   1.936979  18.88564484  -5.554654503   0.255583258
## 276                   1.936979  18.88564484  -5.554654503   0.255583258
## 277                   1.936979  18.88564484  -5.554654503   0.255583258
## 278                   1.936979  18.88564484  -5.554654503   0.255583258
## 279                   1.936979  18.88564484  -5.554654503   0.255583258
## 280                   1.936979  18.88564484  -5.554654503   0.255583258
## 281                   1.962225  25.04248801 -13.953423255   4.642631640
## 282                   1.962225  25.04248801 -13.953423255   4.642631640
## 283                   1.962225  25.04248801 -13.953423255   4.642631640
## 284                   1.962225  25.04248801 -13.953423255   4.642631640
## 285                   1.962225  25.04248801 -13.953423255   4.642631640
## 286                   1.962225  25.04248801 -13.953423255   4.642631640
## 287                   1.962225  25.04248801 -13.953423255   4.642631640
## 288                   1.962225  25.04248801 -13.953423255   4.642631640
## 289                   1.574236   5.58371231   1.416912716   8.726141037
## 290                   1.574236   5.58371231   1.416912716   8.726141037
## 291                   1.574236   5.58371231   1.416912716   8.726141037
## 292                   1.574236   5.58371231   1.416912716   8.726141037
## 293                   1.574236   5.58371231   1.416912716   8.726141037
## 294                   1.574236   5.58371231   1.416912716   8.726141037
## 295                   1.574236   5.58371231   1.416912716   8.726141037
## 296                   1.574236   5.58371231   1.416912716   8.726141037
## 297                   1.615772   0.05938773   0.706613258   5.113079533
## 298                   1.615772   0.05938773   0.706613258   5.113079533
## 299                   1.615772   0.05938773   0.706613258   5.113079533
## 300                   1.615772   0.05938773   0.706613258   5.113079533
## 301                   1.615772   0.05938773   0.706613258   5.113079533
## 302                   1.615772   0.05938773   0.706613258   5.113079533
## 303                   1.615772   0.05938773   0.706613258   5.113079533
## 304                   1.615772   0.05938773   0.706613258   5.113079533
## 305                   1.139743 -17.77270663   4.872420198   2.962379747
## 306                   1.139743 -17.77270663   4.872420198   2.962379747
## 307                   1.139743 -17.77270663   4.872420198   2.962379747
## 308                   1.139743 -17.77270663   4.872420198   2.962379747
## 309                   1.139743 -17.77270663   4.872420198   2.962379747
## 310                   1.139743 -17.77270663   4.872420198   2.962379747
## 311                   1.139743 -17.77270663   4.872420198   2.962379747
## 312                   1.139743 -17.77270663   4.872420198   2.962379747
## 313                   1.927213  23.45251163   3.936507662   6.428773101
## 314                   1.927213  23.45251163   3.936507662   6.428773101
## 315                   1.927213  23.45251163   3.936507662   6.428773101
## 316                   1.927213  23.45251163   3.936507662   6.428773101
## 317                   1.927213  23.45251163   3.936507662   6.428773101
## 318                   1.927213  23.45251163   3.936507662   6.428773101
## 319                   1.927213  23.45251163   3.936507662   6.428773101
## 320                   1.927213  23.45251163   3.936507662   6.428773101
## 321                   1.787235  15.54084275  -2.426849273   6.864421247
## 322                   1.787235  15.54084275  -2.426849273   6.864421247
## 323                   1.787235  15.54084275  -2.426849273   6.864421247
## 324                   1.787235  15.54084275  -2.426849273   6.864421247
## 325                   1.787235  15.54084275  -2.426849273   6.864421247
## 326                   1.787235  15.54084275  -2.426849273   6.864421247
## 327                   1.787235  15.54084275  -2.426849273   6.864421247
## 328                   1.787235  15.54084275  -2.426849273   6.864421247
## 329                   1.316892 -12.49231608   2.517656404   4.231524660
## 330                   1.316892 -12.49231608   2.517656404   4.231524660
## 331                   1.316892 -12.49231608   2.517656404   4.231524660
## 332                   1.316892 -12.49231608   2.517656404   4.231524660
## 333                   1.316892 -12.49231608   2.517656404   4.231524660
## 334                   1.316892 -12.49231608   2.517656404   4.231524660
## 335                   1.316892 -12.49231608   2.517656404   4.231524660
## 336                   1.316892 -12.49231608   2.517656404   4.231524660
## 337                   1.875144  25.21624625  -5.419623341   3.031898648
## 338                   1.875144  25.21624625  -5.419623341   3.031898648
## 339                   1.875144  25.21624625  -5.419623341   3.031898648
## 340                   1.875144  25.21624625  -5.419623341   3.031898648
## 341                   1.875144  25.21624625  -5.419623341   3.031898648
## 342                   1.875144  25.21624625  -5.419623341   3.031898648
## 343                   1.875144  25.21624625  -5.419623341   3.031898648
## 344                   1.875144  25.21624625  -5.419623341   3.031898648
## 345                   1.972165  22.71903695  -3.088402967   3.274135381
## 346                   1.972165  22.71903695  -3.088402967   3.274135381
## 347                   1.972165  22.71903695  -3.088402967   3.274135381
## 348                   1.972165  22.71903695  -3.088402967   3.274135381
## 349                   1.972165  22.71903695  -3.088402967   3.274135381
## 350                   1.972165  22.71903695  -3.088402967   3.274135381
## 351                   1.972165  22.71903695  -3.088402967   3.274135381
## 352                   1.972165  22.71903695  -3.088402967   3.274135381
## 353                   1.716292  14.99814115  -8.230671628  -2.507626506
## 354                   1.716292  14.99814115  -8.230671628  -2.507626506
## 355                   1.716292  14.99814115  -8.230671628  -2.507626506
## 356                   1.716292  14.99814115  -8.230671628  -2.507626506
## 357                   1.716292  14.99814115  -8.230671628  -2.507626506
## 358                   1.716292  14.99814115  -8.230671628  -2.507626506
## 359                   1.716292  14.99814115  -8.230671628  -2.507626506
## 360                   1.716292  14.99814115  -8.230671628  -2.507626506
## 361                   2.281738  28.93647718 -10.439235877  -1.220833832
## 362                   2.281738  28.93647718 -10.439235877  -1.220833832
## 363                   2.281738  28.93647718 -10.439235877  -1.220833832
## 364                   2.281738  28.93647718 -10.439235877  -1.220833832
## 365                   2.281738  28.93647718 -10.439235877  -1.220833832
## 366                   2.281738  28.93647718 -10.439235877  -1.220833832
## 367                   2.281738  28.93647718 -10.439235877  -1.220833832
## 368                   2.281738  28.93647718 -10.439235877  -1.220833832
## 369                   1.737463  11.93830677  -5.025973744   3.078769673
## 370                   1.737463  11.93830677  -5.025973744   3.078769673
## 371                   1.737463  11.93830677  -5.025973744   3.078769673
## 372                   1.737463  11.93830677  -5.025973744   3.078769673
## 373                   1.737463  11.93830677  -5.025973744   3.078769673
## 374                   1.737463  11.93830677  -5.025973744   3.078769673
## 375                   1.737463  11.93830677  -5.025973744   3.078769673
## 376                   1.737463  11.93830677  -5.025973744   3.078769673
## 377                   1.217402 -25.47591357   4.148604644   1.431997792
## 378                   1.217402 -25.47591357   4.148604644   1.431997792
## 379                   1.217402 -25.47591357   4.148604644   1.431997792
## 380                   1.217402 -25.47591357   4.148604644   1.431997792
## 381                   1.217402 -25.47591357   4.148604644   1.431997792
## 382                   1.217402 -25.47591357   4.148604644   1.431997792
## 383                   1.217402 -25.47591357   4.148604644   1.431997792
## 384                   1.217402 -25.47591357   4.148604644   1.431997792
## 385                   1.311985  -6.87835906   2.097741779   2.507726039
## 386                   1.311985  -6.87835906   2.097741779   2.507726039
## 387                   1.311985  -6.87835906   2.097741779   2.507726039
## 388                   1.311985  -6.87835906   2.097741779   2.507726039
## 389                   1.311985  -6.87835906   2.097741779   2.507726039
## 390                   1.311985  -6.87835906   2.097741779   2.507726039
## 391                   1.311985  -6.87835906   2.097741779   2.507726039
## 392                   1.311985  -6.87835906   2.097741779   2.507726039
## 393                   1.332709  -0.53605085  -3.392165362   0.006021204
## 394                   1.332709  -0.53605085  -3.392165362   0.006021204
## 395                   1.332709  -0.53605085  -3.392165362   0.006021204
## 396                   1.332709  -0.53605085  -3.392165362   0.006021204
## 397                   1.332709  -0.53605085  -3.392165362   0.006021204
## 398                   1.332709  -0.53605085  -3.392165362   0.006021204
## 399                   1.332709  -0.53605085  -3.392165362   0.006021204
## 400                   1.332709  -0.53605085  -3.392165362   0.006021204
## 401                   2.066526  25.52184984  -4.490870134   3.207272813
## 402                   2.066526  25.52184984  -4.490870134   3.207272813
## 403                   2.066526  25.52184984  -4.490870134   3.207272813
## 404                   2.066526  25.52184984  -4.490870134   3.207272813
## 405                   2.066526  25.52184984  -4.490870134   3.207272813
## 406                   2.066526  25.52184984  -4.490870134   3.207272813
## 407                   2.066526  25.52184984  -4.490870134   3.207272813
## 408                   2.066526  25.52184984  -4.490870134   3.207272813
## 409                   1.960885  18.89375271  -1.575970764   0.166999984
## 410                   1.960885  18.89375271  -1.575970764   0.166999984
## 411                   1.960885  18.89375271  -1.575970764   0.166999984
## 412                   1.960885  18.89375271  -1.575970764   0.166999984
## 413                   1.960885  18.89375271  -1.575970764   0.166999984
## 414                   1.960885  18.89375271  -1.575970764   0.166999984
## 415                   1.960885  18.89375271  -1.575970764   0.166999984
## 416                   1.960885  18.89375271  -1.575970764   0.166999984
## 417                   1.354324  -5.67663414  -2.743311614   4.728891272
## 418                   1.354324  -5.67663414  -2.743311614   4.728891272
## 419                   1.354324  -5.67663414  -2.743311614   4.728891272
## 420                   1.354324  -5.67663414  -2.743311614   4.728891272
## 421                   1.354324  -5.67663414  -2.743311614   4.728891272
## 422                   1.354324  -5.67663414  -2.743311614   4.728891272
## 423                   1.354324  -5.67663414  -2.743311614   4.728891272
## 424                   1.354324  -5.67663414  -2.743311614   4.728891272
## 425                   1.720417   3.90394336  -7.483305214  -7.207340890
## 426                   1.720417   3.90394336  -7.483305214  -7.207340890
## 427                   1.720417   3.90394336  -7.483305214  -7.207340890
## 428                   1.720417   3.90394336  -7.483305214  -7.207340890
## 429                   1.720417   3.90394336  -7.483305214  -7.207340890
## 430                   1.720417   3.90394336  -7.483305214  -7.207340890
## 431                   1.720417   3.90394336  -7.483305214  -7.207340890
## 432                   1.720417   3.90394336  -7.483305214  -7.207340890
## 433                   1.495052   3.83928528  -1.300400185   2.602533499
## 434                   1.495052   3.83928528  -1.300400185   2.602533499
## 435                   1.495052   3.83928528  -1.300400185   2.602533499
## 436                   1.495052   3.83928528  -1.300400185   2.602533499
## 437                   1.495052   3.83928528  -1.300400185   2.602533499
## 438                   1.495052   3.83928528  -1.300400185   2.602533499
## 439                   1.495052   3.83928528  -1.300400185   2.602533499
## 440                   1.495052   3.83928528  -1.300400185   2.602533499
## 441                   2.176868  32.24724162 -18.375955807  -9.521527250
## 442                   2.176868  32.24724162 -18.375955807  -9.521527250
## 443                   2.176868  32.24724162 -18.375955807  -9.521527250
## 444                   2.176868  32.24724162 -18.375955807  -9.521527250
## 445                   2.176868  32.24724162 -18.375955807  -9.521527250
## 446                   2.176868  32.24724162 -18.375955807  -9.521527250
## 447                   2.176868  32.24724162 -18.375955807  -9.521527250
## 448                   2.176868  32.24724162 -18.375955807  -9.521527250
## 449                   1.371807 -12.23237279  -0.706071047   0.306285204
## 450                   1.371807 -12.23237279  -0.706071047   0.306285204
## 451                   1.371807 -12.23237279  -0.706071047   0.306285204
## 452                   1.371807 -12.23237279  -0.706071047   0.306285204
## 453                   1.371807 -12.23237279  -0.706071047   0.306285204
## 454                   1.371807 -12.23237279  -0.706071047   0.306285204
## 455                   1.371807 -12.23237279  -0.706071047   0.306285204
## 456                   1.371807 -12.23237279  -0.706071047   0.306285204
## 457                   1.268297 -12.91022816  -0.196902103   1.797264466
## 458                   1.268297 -12.91022816  -0.196902103   1.797264466
## 459                   1.268297 -12.91022816  -0.196902103   1.797264466
## 460                   1.268297 -12.91022816  -0.196902103   1.797264466
## 461                   1.268297 -12.91022816  -0.196902103   1.797264466
## 462                   1.268297 -12.91022816  -0.196902103   1.797264466
## 463                   1.268297 -12.91022816  -0.196902103   1.797264466
## 464                   1.268297 -12.91022816  -0.196902103   1.797264466
## 465                   1.226878 -16.15826109   2.407287275   1.034344500
## 466                   1.226878 -16.15826109   2.407287275   1.034344500
## 467                   1.226878 -16.15826109   2.407287275   1.034344500
## 468                   1.226878 -16.15826109   2.407287275   1.034344500
## 469                   1.226878 -16.15826109   2.407287275   1.034344500
## 470                   1.226878 -16.15826109   2.407287275   1.034344500
## 471                   1.226878 -16.15826109   2.407287275   1.034344500
## 472                   1.226878 -16.15826109   2.407287275   1.034344500
## 473                   2.133120  29.50098979 -17.090699699  -9.173689745
## 474                   2.133120  29.50098979 -17.090699699  -9.173689745
## 475                   2.133120  29.50098979 -17.090699699  -9.173689745
## 476                   2.133120  29.50098979 -17.090699699  -9.173689745
## 477                   2.133120  29.50098979 -17.090699699  -9.173689745
## 478                   2.133120  29.50098979 -17.090699699  -9.173689745
## 479                   2.133120  29.50098979 -17.090699699  -9.173689745
## 480                   2.133120  29.50098979 -17.090699699  -9.173689745
## 481                   2.039283  13.59060834   7.830100741  12.027914954
## 482                   2.039283  13.59060834   7.830100741  12.027914954
## 483                   2.039283  13.59060834   7.830100741  12.027914954
## 484                   2.039283  13.59060834   7.830100741  12.027914954
## 485                   2.039283  13.59060834   7.830100741  12.027914954
## 486                   2.039283  13.59060834   7.830100741  12.027914954
## 487                   2.039283  13.59060834   7.830100741  12.027914954
## 488                   2.039283  13.59060834   7.830100741  12.027914954
## 489                   1.558877 -28.52454721   2.932621272   6.639076286
## 490                   1.558877 -28.52454721   2.932621272   6.639076286
## 491                   1.558877 -28.52454721   2.932621272   6.639076286
## 492                   1.558877 -28.52454721   2.932621272   6.639076286
## 493                   1.558877 -28.52454721   2.932621272   6.639076286
## 494                   1.558877 -28.52454721   2.932621272   6.639076286
## 495                   1.558877 -28.52454721   2.932621272   6.639076286
## 496                   1.558877 -28.52454721   2.932621272   6.639076286
## 497                   1.317065  -6.40692291  -0.009393108   3.447168831
## 498                   1.317065  -6.40692291  -0.009393108   3.447168831
## 499                   1.317065  -6.40692291  -0.009393108   3.447168831
## 500                   1.317065  -6.40692291  -0.009393108   3.447168831
## 501                   1.317065  -6.40692291  -0.009393108   3.447168831
## 502                   1.317065  -6.40692291  -0.009393108   3.447168831
## 503                   1.317065  -6.40692291  -0.009393108   3.447168831
## 504                   1.317065  -6.40692291  -0.009393108   3.447168831
## 505                   1.569593 -32.36935873  10.040871154  13.532931336
## 506                   1.569593 -32.36935873  10.040871154  13.532931336
## 507                   1.569593 -32.36935873  10.040871154  13.532931336
## 508                   1.569593 -32.36935873  10.040871154  13.532931336
## 509                   1.569593 -32.36935873  10.040871154  13.532931336
## 510                   1.569593 -32.36935873  10.040871154  13.532931336
## 511                   1.569593 -32.36935873  10.040871154  13.532931336
## 512                   1.569593 -32.36935873  10.040871154  13.532931336
## 513                   1.475381 -20.58711518   0.908378464   4.911138542
## 514                   1.475381 -20.58711518   0.908378464   4.911138542
## 515                   1.475381 -20.58711518   0.908378464   4.911138542
## 516                   1.475381 -20.58711518   0.908378464   4.911138542
## 517                   1.475381 -20.58711518   0.908378464   4.911138542
## 518                   1.475381 -20.58711518   0.908378464   4.911138542
## 519                   1.475381 -20.58711518   0.908378464   4.911138542
## 520                   1.475381 -20.58711518   0.908378464   4.911138542
## 521                   1.446998 -14.46494379  -1.335808271  -2.068843104
## 522                   1.446998 -14.46494379  -1.335808271  -2.068843104
## 523                   1.446998 -14.46494379  -1.335808271  -2.068843104
## 524                   1.446998 -14.46494379  -1.335808271  -2.068843104
## 525                   1.446998 -14.46494379  -1.335808271  -2.068843104
## 526                   1.446998 -14.46494379  -1.335808271  -2.068843104
## 527                   1.446998 -14.46494379  -1.335808271  -2.068843104
## 528                   1.446998 -14.46494379  -1.335808271  -2.068843104
## 529                   1.885354  10.71342402   1.175787136  -0.152241121
## 530                   1.885354  10.71342402   1.175787136  -0.152241121
## 531                   1.885354  10.71342402   1.175787136  -0.152241121
## 532                   1.885354  10.71342402   1.175787136  -0.152241121
## 533                   1.885354  10.71342402   1.175787136  -0.152241121
## 534                   1.885354  10.71342402   1.175787136  -0.152241121
## 535                   1.885354  10.71342402   1.175787136  -0.152241121
## 536                   1.885354  10.71342402   1.175787136  -0.152241121
## 537                   1.323797 -15.10629901   2.381613648   2.540960026
## 538                   1.323797 -15.10629901   2.381613648   2.540960026
## 539                   1.323797 -15.10629901   2.381613648   2.540960026
## 540                   1.323797 -15.10629901   2.381613648   2.540960026
## 541                   1.323797 -15.10629901   2.381613648   2.540960026
## 542                   1.323797 -15.10629901   2.381613648   2.540960026
## 543                   1.323797 -15.10629901   2.381613648   2.540960026
## 544                   1.323797 -15.10629901   2.381613648   2.540960026
## 545                   1.442672   3.70861893  -1.393531358   0.844552915
## 546                   1.442672   3.70861893  -1.393531358   0.844552915
## 547                   1.442672   3.70861893  -1.393531358   0.844552915
## 548                   1.442672   3.70861893  -1.393531358   0.844552915
## 549                   1.442672   3.70861893  -1.393531358   0.844552915
## 550                   1.442672   3.70861893  -1.393531358   0.844552915
## 551                   1.442672   3.70861893  -1.393531358   0.844552915
## 552                   1.442672   3.70861893  -1.393531358   0.844552915
## 553                   1.527988 -19.39208862  10.377012887   1.563105839
## 554                   1.527988 -19.39208862  10.377012887   1.563105839
## 555                   1.527988 -19.39208862  10.377012887   1.563105839
## 556                   1.527988 -19.39208862  10.377012887   1.563105839
## 557                   1.527988 -19.39208862  10.377012887   1.563105839
## 558                   1.527988 -19.39208862  10.377012887   1.563105839
## 559                   1.527988 -19.39208862  10.377012887   1.563105839
## 560                   1.527988 -19.39208862  10.377012887   1.563105839
## 561                   1.476868  -7.76030284   5.232287515   3.918103384
## 562                   1.476868  -7.76030284   5.232287515   3.918103384
## 563                   1.476868  -7.76030284   5.232287515   3.918103384
## 564                   1.476868  -7.76030284   5.232287515   3.918103384
## 565                   1.476868  -7.76030284   5.232287515   3.918103384
## 566                   1.476868  -7.76030284   5.232287515   3.918103384
## 567                   1.476868  -7.76030284   5.232287515   3.918103384
## 568                   1.476868  -7.76030284   5.232287515   3.918103384
## 569                   1.283519 -11.87422195   3.172843737   4.343713580
## 570                   1.283519 -11.87422195   3.172843737   4.343713580
## 571                   1.283519 -11.87422195   3.172843737   4.343713580
## 572                   1.283519 -11.87422195   3.172843737   4.343713580
## 573                   1.283519 -11.87422195   3.172843737   4.343713580
## 574                   1.283519 -11.87422195   3.172843737   4.343713580
## 575                   1.283519 -11.87422195   3.172843737   4.343713580
## 576                   1.283519 -11.87422195   3.172843737   4.343713580
## 577                   1.520876  -5.49014813  -2.142368406   2.305074226
## 578                   1.520876  -5.49014813  -2.142368406   2.305074226
## 579                   1.520876  -5.49014813  -2.142368406   2.305074226
## 580                   1.520876  -5.49014813  -2.142368406   2.305074226
## 581                   1.520876  -5.49014813  -2.142368406   2.305074226
## 582                   1.520876  -5.49014813  -2.142368406   2.305074226
## 583                   1.520876  -5.49014813  -2.142368406   2.305074226
## 584                   1.520876  -5.49014813  -2.142368406   2.305074226
## 585                   1.610879 -39.60200084  14.210464843  -0.327577123
## 586                   1.610879 -39.60200084  14.210464843  -0.327577123
## 587                   1.610879 -39.60200084  14.210464843  -0.327577123
## 588                   1.610879 -39.60200084  14.210464843  -0.327577123
## 589                   1.610879 -39.60200084  14.210464843  -0.327577123
## 590                   1.610879 -39.60200084  14.210464843  -0.327577123
## 591                   1.610879 -39.60200084  14.210464843  -0.327577123
## 592                   1.610879 -39.60200084  14.210464843  -0.327577123
## 593                   1.579430 -27.92398594   4.388916066   6.470964917
## 594                   1.579430 -27.92398594   4.388916066   6.470964917
## 595                   1.579430 -27.92398594   4.388916066   6.470964917
## 596                   1.579430 -27.92398594   4.388916066   6.470964917
## 597                   1.579430 -27.92398594   4.388916066   6.470964917
## 598                   1.579430 -27.92398594   4.388916066   6.470964917
## 599                   1.579430 -27.92398594   4.388916066   6.470964917
## 600                   1.579430 -27.92398594   4.388916066   6.470964917
## 601                   1.440782   3.25044638  -2.820617085   3.139548045
## 602                   1.440782   3.25044638  -2.820617085   3.139548045
## 603                   1.440782   3.25044638  -2.820617085   3.139548045
## 604                   1.440782   3.25044638  -2.820617085   3.139548045
## 605                   1.440782   3.25044638  -2.820617085   3.139548045
## 606                   1.440782   3.25044638  -2.820617085   3.139548045
## 607                   1.440782   3.25044638  -2.820617085   3.139548045
## 608                   1.440782   3.25044638  -2.820617085   3.139548045
## 609                   1.334961 -11.55922671   2.234776370   5.076352083
## 610                   1.334961 -11.55922671   2.234776370   5.076352083
## 611                   1.334961 -11.55922671   2.234776370   5.076352083
## 612                   1.334961 -11.55922671   2.234776370   5.076352083
## 613                   1.334961 -11.55922671   2.234776370   5.076352083
## 614                   1.334961 -11.55922671   2.234776370   5.076352083
## 615                   1.334961 -11.55922671   2.234776370   5.076352083
## 616                   1.334961 -11.55922671   2.234776370   5.076352083
## 617                   1.352336 -16.65475607   1.244845116   5.202360171
## 618                   1.352336 -16.65475607   1.244845116   5.202360171
## 619                   1.352336 -16.65475607   1.244845116   5.202360171
## 620                   1.352336 -16.65475607   1.244845116   5.202360171
## 621                   1.352336 -16.65475607   1.244845116   5.202360171
## 622                   1.352336 -16.65475607   1.244845116   5.202360171
## 623                   1.352336 -16.65475607   1.244845116   5.202360171
## 624                   1.352336 -16.65475607   1.244845116   5.202360171
## 625                   1.776516  15.06440462  -2.514546983   2.933320675
## 626                   1.776516  15.06440462  -2.514546983   2.933320675
## 627                   1.776516  15.06440462  -2.514546983   2.933320675
## 628                   1.776516  15.06440462  -2.514546983   2.933320675
## 629                   1.776516  15.06440462  -2.514546983   2.933320675
## 630                   1.776516  15.06440462  -2.514546983   2.933320675
## 631                   1.776516  15.06440462  -2.514546983   2.933320675
## 632                   1.776516  15.06440462  -2.514546983   2.933320675
## 633                   1.152624 -21.42335239   0.977109764  -0.038764323
## 634                   1.152624 -21.42335239   0.977109764  -0.038764323
## 635                   1.152624 -21.42335239   0.977109764  -0.038764323
## 636                   1.152624 -21.42335239   0.977109764  -0.038764323
## 637                   1.152624 -21.42335239   0.977109764  -0.038764323
## 638                   1.152624 -21.42335239   0.977109764  -0.038764323
## 639                   1.152624 -21.42335239   0.977109764  -0.038764323
## 640                   1.152624 -21.42335239   0.977109764  -0.038764323
## 641                   1.787811 -23.59884946   9.185063375   4.917566454
## 642                   1.787811 -23.59884946   9.185063375   4.917566454
## 643                   1.787811 -23.59884946   9.185063375   4.917566454
## 644                   1.787811 -23.59884946   9.185063375   4.917566454
## 645                   1.787811 -23.59884946   9.185063375   4.917566454
## 646                   1.787811 -23.59884946   9.185063375   4.917566454
## 647                   1.787811 -23.59884946   9.185063375   4.917566454
## 648                   1.787811 -23.59884946   9.185063375   4.917566454
## 649                   1.390183  -9.07737729  -0.405499641   3.917626027
## 650                   1.390183  -9.07737729  -0.405499641   3.917626027
## 651                   1.390183  -9.07737729  -0.405499641   3.917626027
## 652                   1.390183  -9.07737729  -0.405499641   3.917626027
## 653                   1.390183  -9.07737729  -0.405499641   3.917626027
## 654                   1.390183  -9.07737729  -0.405499641   3.917626027
## 655                   1.390183  -9.07737729  -0.405499641   3.917626027
## 656                   1.390183  -9.07737729  -0.405499641   3.917626027
## 657                   1.938337  19.21983714   0.207165212   7.798113032
## 658                   1.938337  19.21983714   0.207165212   7.798113032
## 659                   1.938337  19.21983714   0.207165212   7.798113032
## 660                   1.938337  19.21983714   0.207165212   7.798113032
## 661                   1.938337  19.21983714   0.207165212   7.798113032
## 662                   1.938337  19.21983714   0.207165212   7.798113032
## 663                   1.938337  19.21983714   0.207165212   7.798113032
## 664                   1.938337  19.21983714   0.207165212   7.798113032
## 665                   1.991763  28.66880997  -6.093574290   5.300195384
## 666                   1.991763  28.66880997  -6.093574290   5.300195384
## 667                   1.991763  28.66880997  -6.093574290   5.300195384
## 668                   1.991763  28.66880997  -6.093574290   5.300195384
## 669                   1.991763  28.66880997  -6.093574290   5.300195384
## 670                   1.991763  28.66880997  -6.093574290   5.300195384
## 671                   1.991763  28.66880997  -6.093574290   5.300195384
## 672                   1.991763  28.66880997  -6.093574290   5.300195384
## 673                   1.294649  -8.39755583   0.196320097   2.668958212
## 674                   1.294649  -8.39755583   0.196320097   2.668958212
## 675                   1.294649  -8.39755583   0.196320097   2.668958212
## 676                   1.294649  -8.39755583   0.196320097   2.668958212
## 677                   1.294649  -8.39755583   0.196320097   2.668958212
## 678                   1.294649  -8.39755583   0.196320097   2.668958212
## 679                   1.294649  -8.39755583   0.196320097   2.668958212
## 680                   1.294649  -8.39755583   0.196320097   2.668958212
## 681                   1.904473  18.34772321 -14.021484626  -4.295569551
## 682                   1.904473  18.34772321 -14.021484626  -4.295569551
## 683                   1.904473  18.34772321 -14.021484626  -4.295569551
## 684                   1.904473  18.34772321 -14.021484626  -4.295569551
## 685                   1.904473  18.34772321 -14.021484626  -4.295569551
## 686                   1.904473  18.34772321 -14.021484626  -4.295569551
## 687                   1.904473  18.34772321 -14.021484626  -4.295569551
## 688                   1.904473  18.34772321 -14.021484626  -4.295569551
## 689                   1.295136 -14.67710233   2.083589902   2.452475544
## 690                   1.295136 -14.67710233   2.083589902   2.452475544
## 691                   1.295136 -14.67710233   2.083589902   2.452475544
## 692                   1.295136 -14.67710233   2.083589902   2.452475544
## 693                   1.295136 -14.67710233   2.083589902   2.452475544
## 694                   1.295136 -14.67710233   2.083589902   2.452475544
## 695                   1.295136 -14.67710233   2.083589902   2.452475544
## 696                   1.295136 -14.67710233   2.083589902   2.452475544
## 697                   1.887757  15.21827640 -15.439295263  -5.150908169
## 698                   1.887757  15.21827640 -15.439295263  -5.150908169
## 699                   1.887757  15.21827640 -15.439295263  -5.150908169
## 700                   1.887757  15.21827640 -15.439295263  -5.150908169
## 701                   1.887757  15.21827640 -15.439295263  -5.150908169
## 702                   1.887757  15.21827640 -15.439295263  -5.150908169
## 703                   1.887757  15.21827640 -15.439295263  -5.150908169
## 704                   1.887757  15.21827640 -15.439295263  -5.150908169
## 705                   1.357026  -1.49233382  -0.297149772   4.188016080
## 706                   1.357026  -1.49233382  -0.297149772   4.188016080
## 707                   1.357026  -1.49233382  -0.297149772   4.188016080
## 708                   1.357026  -1.49233382  -0.297149772   4.188016080
## 709                   1.357026  -1.49233382  -0.297149772   4.188016080
## 710                   1.357026  -1.49233382  -0.297149772   4.188016080
## 711                   1.357026  -1.49233382  -0.297149772   4.188016080
## 712                   1.357026  -1.49233382  -0.297149772   4.188016080
## 713                   1.288358  -8.36421371   3.102592912   2.004379171
## 714                   1.288358  -8.36421371   3.102592912   2.004379171
## 715                   1.288358  -8.36421371   3.102592912   2.004379171
## 716                   1.288358  -8.36421371   3.102592912   2.004379171
## 717                   1.288358  -8.36421371   3.102592912   2.004379171
## 718                   1.288358  -8.36421371   3.102592912   2.004379171
## 719                   1.288358  -8.36421371   3.102592912   2.004379171
## 720                   1.288358  -8.36421371   3.102592912   2.004379171
## 721                   1.374871 -10.15803990  -0.337619475   2.636949351
## 722                   1.374871 -10.15803990  -0.337619475   2.636949351
## 723                   1.374871 -10.15803990  -0.337619475   2.636949351
## 724                   1.374871 -10.15803990  -0.337619475   2.636949351
## 725                   1.374871 -10.15803990  -0.337619475   2.636949351
## 726                   1.374871 -10.15803990  -0.337619475   2.636949351
## 727                   1.374871 -10.15803990  -0.337619475   2.636949351
## 728                   1.374871 -10.15803990  -0.337619475   2.636949351
## 729                   1.590829 -24.50665119   2.752036458   1.697735503
## 730                   1.590829 -24.50665119   2.752036458   1.697735503
## 731                   1.590829 -24.50665119   2.752036458   1.697735503
## 732                   1.590829 -24.50665119   2.752036458   1.697735503
## 733                   1.590829 -24.50665119   2.752036458   1.697735503
## 734                   1.590829 -24.50665119   2.752036458   1.697735503
## 735                   1.590829 -24.50665119   2.752036458   1.697735503
## 736                   1.590829 -24.50665119   2.752036458   1.697735503
## 737                   1.309697  -7.10993446  -0.569619927  -0.721591334
## 738                   1.309697  -7.10993446  -0.569619927  -0.721591334
## 739                   1.309697  -7.10993446  -0.569619927  -0.721591334
## 740                   1.309697  -7.10993446  -0.569619927  -0.721591334
## 741                   1.309697  -7.10993446  -0.569619927  -0.721591334
## 742                   1.309697  -7.10993446  -0.569619927  -0.721591334
## 743                   1.309697  -7.10993446  -0.569619927  -0.721591334
## 744                   1.309697  -7.10993446  -0.569619927  -0.721591334
## 745                   1.271266  -6.44048923  -2.835388913  -1.102921097
## 746                   1.271266  -6.44048923  -2.835388913  -1.102921097
## 747                   1.271266  -6.44048923  -2.835388913  -1.102921097
## 748                   1.271266  -6.44048923  -2.835388913  -1.102921097
## 749                   1.271266  -6.44048923  -2.835388913  -1.102921097
## 750                   1.271266  -6.44048923  -2.835388913  -1.102921097
## 751                   1.271266  -6.44048923  -2.835388913  -1.102921097
## 752                   1.271266  -6.44048923  -2.835388913  -1.102921097
## 753                   1.552908   3.06775319  -7.631661271  -1.570730946
## 754                   1.552908   3.06775319  -7.631661271  -1.570730946
## 755                   1.552908   3.06775319  -7.631661271  -1.570730946
## 756                   1.552908   3.06775319  -7.631661271  -1.570730946
## 757                   1.552908   3.06775319  -7.631661271  -1.570730946
## 758                   1.552908   3.06775319  -7.631661271  -1.570730946
## 759                   1.552908   3.06775319  -7.631661271  -1.570730946
## 760                   1.552908   3.06775319  -7.631661271  -1.570730946
## 761                   1.344939 -12.88829037   2.288208678   4.475685696
## 762                   1.344939 -12.88829037   2.288208678   4.475685696
## 763                   1.344939 -12.88829037   2.288208678   4.475685696
## 764                   1.344939 -12.88829037   2.288208678   4.475685696
## 765                   1.344939 -12.88829037   2.288208678   4.475685696
## 766                   1.344939 -12.88829037   2.288208678   4.475685696
## 767                   1.344939 -12.88829037   2.288208678   4.475685696
## 768                   1.344939 -12.88829037   2.288208678   4.475685696
## 769                   1.203280  -8.91061214   2.995338753   2.372560562
## 770                   1.203280  -8.91061214   2.995338753   2.372560562
## 771                   1.203280  -8.91061214   2.995338753   2.372560562
## 772                   1.203280  -8.91061214   2.995338753   2.372560562
## 773                   1.203280  -8.91061214   2.995338753   2.372560562
## 774                   1.203280  -8.91061214   2.995338753   2.372560562
## 775                   1.203280  -8.91061214   2.995338753   2.372560562
## 776                   1.203280  -8.91061214   2.995338753   2.372560562
## 777                   1.420768   2.48830925  -4.573042580  -1.931732096
## 778                   1.420768   2.48830925  -4.573042580  -1.931732096
## 779                   1.420768   2.48830925  -4.573042580  -1.931732096
## 780                   1.420768   2.48830925  -4.573042580  -1.931732096
## 781                   1.420768   2.48830925  -4.573042580  -1.931732096
## 782                   1.420768   2.48830925  -4.573042580  -1.931732096
## 783                   1.420768   2.48830925  -4.573042580  -1.931732096
## 784                   1.420768   2.48830925  -4.573042580  -1.931732096
## 785                   2.158064  37.04523462 -23.151508243   1.960414356
## 786                   2.158064  37.04523462 -23.151508243   1.960414356
## 787                   2.158064  37.04523462 -23.151508243   1.960414356
## 788                   2.158064  37.04523462 -23.151508243   1.960414356
## 789                   2.158064  37.04523462 -23.151508243   1.960414356
## 790                   2.158064  37.04523462 -23.151508243   1.960414356
## 791                   2.158064  37.04523462 -23.151508243   1.960414356
## 792                   2.158064  37.04523462 -23.151508243   1.960414356
## 793                   1.401714 -23.01789727   3.797308083  -0.140167220
## 794                   1.401714 -23.01789727   3.797308083  -0.140167220
## 795                   1.401714 -23.01789727   3.797308083  -0.140167220
## 796                   1.401714 -23.01789727   3.797308083  -0.140167220
## 797                   1.401714 -23.01789727   3.797308083  -0.140167220
## 798                   1.401714 -23.01789727   3.797308083  -0.140167220
## 799                   1.401714 -23.01789727   3.797308083  -0.140167220
##       PC4_score   PC5_score     PC6_score    PC7_score    PC8_score   PC9_score
## 1    -4.9498046  -9.2571322   6.514156526  -2.71612911  -8.52457907   0.3449448
## 2    -4.9498046  -9.2571322   6.514156526  -2.71612911  -8.52457907   0.3449448
## 3    -4.9498046  -9.2571322   6.514156526  -2.71612911  -8.52457907   0.3449448
## 4    -4.9498046  -9.2571322   6.514156526  -2.71612911  -8.52457907   0.3449448
## 5    -4.9498046  -9.2571322   6.514156526  -2.71612911  -8.52457907   0.3449448
## 6    -4.9498046  -9.2571322   6.514156526  -2.71612911  -8.52457907   0.3449448
## 7    -4.9498046  -9.2571322   6.514156526  -2.71612911  -8.52457907   0.3449448
## 8    -4.9498046  -9.2571322   6.514156526  -2.71612911  -8.52457907   0.3449448
## 9    -2.2270803  -4.6641014   1.641568644  -5.14209189  -2.93388796  -2.2103684
## 10   -2.2270803  -4.6641014   1.641568644  -5.14209189  -2.93388796  -2.2103684
## 11   -2.2270803  -4.6641014   1.641568644  -5.14209189  -2.93388796  -2.2103684
## 12   -2.2270803  -4.6641014   1.641568644  -5.14209189  -2.93388796  -2.2103684
## 13   -2.2270803  -4.6641014   1.641568644  -5.14209189  -2.93388796  -2.2103684
## 14   -2.2270803  -4.6641014   1.641568644  -5.14209189  -2.93388796  -2.2103684
## 15   -2.2270803  -4.6641014   1.641568644  -5.14209189  -2.93388796  -2.2103684
## 16   -2.2270803  -4.6641014   1.641568644  -5.14209189  -2.93388796  -2.2103684
## 17    5.6571656 -12.0086721  -5.964542813  -2.50411842  -5.76773905  13.3973770
## 18    5.6571656 -12.0086721  -5.964542813  -2.50411842  -5.76773905  13.3973770
## 19    5.6571656 -12.0086721  -5.964542813  -2.50411842  -5.76773905  13.3973770
## 20    5.6571656 -12.0086721  -5.964542813  -2.50411842  -5.76773905  13.3973770
## 21    5.6571656 -12.0086721  -5.964542813  -2.50411842  -5.76773905  13.3973770
## 22    5.6571656 -12.0086721  -5.964542813  -2.50411842  -5.76773905  13.3973770
## 23    5.6571656 -12.0086721  -5.964542813  -2.50411842  -5.76773905  13.3973770
## 24    5.6571656 -12.0086721  -5.964542813  -2.50411842  -5.76773905  13.3973770
## 25   -2.9362568  -7.7905822  -4.176870357   8.75448507   0.33958837  -4.8395663
## 26   -2.9362568  -7.7905822  -4.176870357   8.75448507   0.33958837  -4.8395663
## 27   -2.9362568  -7.7905822  -4.176870357   8.75448507   0.33958837  -4.8395663
## 28   -2.9362568  -7.7905822  -4.176870357   8.75448507   0.33958837  -4.8395663
## 29   -2.9362568  -7.7905822  -4.176870357   8.75448507   0.33958837  -4.8395663
## 30   -2.9362568  -7.7905822  -4.176870357   8.75448507   0.33958837  -4.8395663
## 31   -2.9362568  -7.7905822  -4.176870357   8.75448507   0.33958837  -4.8395663
## 32   -2.9362568  -7.7905822  -4.176870357   8.75448507   0.33958837  -4.8395663
## 33   -2.6508819  -4.4783686  -0.028081965  -5.08754874  -4.57041260  -2.8125456
## 34   -2.6508819  -4.4783686  -0.028081965  -5.08754874  -4.57041260  -2.8125456
## 35   -2.6508819  -4.4783686  -0.028081965  -5.08754874  -4.57041260  -2.8125456
## 36   -2.6508819  -4.4783686  -0.028081965  -5.08754874  -4.57041260  -2.8125456
## 37   -2.6508819  -4.4783686  -0.028081965  -5.08754874  -4.57041260  -2.8125456
## 38   -2.6508819  -4.4783686  -0.028081965  -5.08754874  -4.57041260  -2.8125456
## 39   -2.6508819  -4.4783686  -0.028081965  -5.08754874  -4.57041260  -2.8125456
## 40   -2.6508819  -4.4783686  -0.028081965  -5.08754874  -4.57041260  -2.8125456
## 41    3.2935036   0.2356262  -4.348147831  -0.10058477   6.40156569   5.8473256
## 42    3.2935036   0.2356262  -4.348147831  -0.10058477   6.40156569   5.8473256
## 43    3.2935036   0.2356262  -4.348147831  -0.10058477   6.40156569   5.8473256
## 44    3.2935036   0.2356262  -4.348147831  -0.10058477   6.40156569   5.8473256
## 45    3.2935036   0.2356262  -4.348147831  -0.10058477   6.40156569   5.8473256
## 46    3.2935036   0.2356262  -4.348147831  -0.10058477   6.40156569   5.8473256
## 47    3.2935036   0.2356262  -4.348147831  -0.10058477   6.40156569   5.8473256
## 48    3.2935036   0.2356262  -4.348147831  -0.10058477   6.40156569   5.8473256
## 49  -22.9618378 -19.9836897  -4.660228280  15.87260871 -33.87757501  38.5148421
## 50  -22.9618378 -19.9836897  -4.660228280  15.87260871 -33.87757501  38.5148421
## 51  -22.9618378 -19.9836897  -4.660228280  15.87260871 -33.87757501  38.5148421
## 52  -22.9618378 -19.9836897  -4.660228280  15.87260871 -33.87757501  38.5148421
## 53  -22.9618378 -19.9836897  -4.660228280  15.87260871 -33.87757501  38.5148421
## 54  -22.9618378 -19.9836897  -4.660228280  15.87260871 -33.87757501  38.5148421
## 55  -22.9618378 -19.9836897  -4.660228280  15.87260871 -33.87757501  38.5148421
## 56  -22.9618378 -19.9836897  -4.660228280  15.87260871 -33.87757501  38.5148421
## 57   -6.0359022  -8.8849723   9.085455858  -8.22870053  -5.81997882  -9.0599790
## 58   -6.0359022  -8.8849723   9.085455858  -8.22870053  -5.81997882  -9.0599790
## 59   -6.0359022  -8.8849723   9.085455858  -8.22870053  -5.81997882  -9.0599790
## 60   -6.0359022  -8.8849723   9.085455858  -8.22870053  -5.81997882  -9.0599790
## 61   -6.0359022  -8.8849723   9.085455858  -8.22870053  -5.81997882  -9.0599790
## 62   -6.0359022  -8.8849723   9.085455858  -8.22870053  -5.81997882  -9.0599790
## 63   -6.0359022  -8.8849723   9.085455858  -8.22870053  -5.81997882  -9.0599790
## 64   -6.0359022  -8.8849723   9.085455858  -8.22870053  -5.81997882  -9.0599790
## 65   -2.2931182  -7.0267386   2.016384390  -8.41705516  -6.08969887  -5.1167660
## 66   -2.2931182  -7.0267386   2.016384390  -8.41705516  -6.08969887  -5.1167660
## 67   -2.2931182  -7.0267386   2.016384390  -8.41705516  -6.08969887  -5.1167660
## 68   -2.2931182  -7.0267386   2.016384390  -8.41705516  -6.08969887  -5.1167660
## 69   -2.2931182  -7.0267386   2.016384390  -8.41705516  -6.08969887  -5.1167660
## 70   -2.2931182  -7.0267386   2.016384390  -8.41705516  -6.08969887  -5.1167660
## 71   -2.2931182  -7.0267386   2.016384390  -8.41705516  -6.08969887  -5.1167660
## 72   -2.2931182  -7.0267386   2.016384390  -8.41705516  -6.08969887  -5.1167660
## 73    5.9892335  -6.9167077  -8.689988334  -3.62988893 -10.72774841  10.3680929
## 74    5.9892335  -6.9167077  -8.689988334  -3.62988893 -10.72774841  10.3680929
## 75    5.9892335  -6.9167077  -8.689988334  -3.62988893 -10.72774841  10.3680929
## 76    5.9892335  -6.9167077  -8.689988334  -3.62988893 -10.72774841  10.3680929
## 77    5.9892335  -6.9167077  -8.689988334  -3.62988893 -10.72774841  10.3680929
## 78    5.9892335  -6.9167077  -8.689988334  -3.62988893 -10.72774841  10.3680929
## 79    5.9892335  -6.9167077  -8.689988334  -3.62988893 -10.72774841  10.3680929
## 80    5.9892335  -6.9167077  -8.689988334  -3.62988893 -10.72774841  10.3680929
## 81   11.1602280  -5.7439638   3.586796791  -8.15839289  -2.98668480   0.8179548
## 82   11.1602280  -5.7439638   3.586796791  -8.15839289  -2.98668480   0.8179548
## 83   11.1602280  -5.7439638   3.586796791  -8.15839289  -2.98668480   0.8179548
## 84   11.1602280  -5.7439638   3.586796791  -8.15839289  -2.98668480   0.8179548
## 85   11.1602280  -5.7439638   3.586796791  -8.15839289  -2.98668480   0.8179548
## 86   11.1602280  -5.7439638   3.586796791  -8.15839289  -2.98668480   0.8179548
## 87   11.1602280  -5.7439638   3.586796791  -8.15839289  -2.98668480   0.8179548
## 88   11.1602280  -5.7439638   3.586796791  -8.15839289  -2.98668480   0.8179548
## 89   -7.3689096 -13.8402521   3.604428886  -1.09175451  -1.24737699  17.8872893
## 90   -7.3689096 -13.8402521   3.604428886  -1.09175451  -1.24737699  17.8872893
## 91   -7.3689096 -13.8402521   3.604428886  -1.09175451  -1.24737699  17.8872893
## 92   -7.3689096 -13.8402521   3.604428886  -1.09175451  -1.24737699  17.8872893
## 93   -7.3689096 -13.8402521   3.604428886  -1.09175451  -1.24737699  17.8872893
## 94   -7.3689096 -13.8402521   3.604428886  -1.09175451  -1.24737699  17.8872893
## 95   -7.3689096 -13.8402521   3.604428886  -1.09175451  -1.24737699  17.8872893
## 96   -7.3689096 -13.8402521   3.604428886  -1.09175451  -1.24737699  17.8872893
## 97  -10.7828018  -4.0360394  -1.065792716   4.76666879  -1.51681627   0.6927635
## 98  -10.7828018  -4.0360394  -1.065792716   4.76666879  -1.51681627   0.6927635
## 99  -10.7828018  -4.0360394  -1.065792716   4.76666879  -1.51681627   0.6927635
## 100 -10.7828018  -4.0360394  -1.065792716   4.76666879  -1.51681627   0.6927635
## 101 -10.7828018  -4.0360394  -1.065792716   4.76666879  -1.51681627   0.6927635
## 102 -10.7828018  -4.0360394  -1.065792716   4.76666879  -1.51681627   0.6927635
## 103 -10.7828018  -4.0360394  -1.065792716   4.76666879  -1.51681627   0.6927635
## 104 -10.7828018  -4.0360394  -1.065792716   4.76666879  -1.51681627   0.6927635
## 105   2.5785152  -4.3319144   1.889528513  -3.59688072  -2.25251051  -6.0702048
## 106   2.5785152  -4.3319144   1.889528513  -3.59688072  -2.25251051  -6.0702048
## 107   2.5785152  -4.3319144   1.889528513  -3.59688072  -2.25251051  -6.0702048
## 108   2.5785152  -4.3319144   1.889528513  -3.59688072  -2.25251051  -6.0702048
## 109   2.5785152  -4.3319144   1.889528513  -3.59688072  -2.25251051  -6.0702048
## 110   2.5785152  -4.3319144   1.889528513  -3.59688072  -2.25251051  -6.0702048
## 111   2.5785152  -4.3319144   1.889528513  -3.59688072  -2.25251051  -6.0702048
## 112   2.5785152  -4.3319144   1.889528513  -3.59688072  -2.25251051  -6.0702048
## 113   6.7099155 -30.2347328  11.383234941 -34.11131386 -10.62839909   7.7105788
## 114   6.7099155 -30.2347328  11.383234941 -34.11131386 -10.62839909   7.7105788
## 115   6.7099155 -30.2347328  11.383234941 -34.11131386 -10.62839909   7.7105788
## 116   6.7099155 -30.2347328  11.383234941 -34.11131386 -10.62839909   7.7105788
## 117   6.7099155 -30.2347328  11.383234941 -34.11131386 -10.62839909   7.7105788
## 118   6.7099155 -30.2347328  11.383234941 -34.11131386 -10.62839909   7.7105788
## 119   6.7099155 -30.2347328  11.383234941 -34.11131386 -10.62839909   7.7105788
## 120   6.7099155 -30.2347328  11.383234941 -34.11131386 -10.62839909   7.7105788
## 121  -4.8311229  -5.5805766  -3.400084849   2.65779105  -5.31232608  -9.6349984
## 122  -4.8311229  -5.5805766  -3.400084849   2.65779105  -5.31232608  -9.6349984
## 123  -4.8311229  -5.5805766  -3.400084849   2.65779105  -5.31232608  -9.6349984
## 124  -4.8311229  -5.5805766  -3.400084849   2.65779105  -5.31232608  -9.6349984
## 125  -4.8311229  -5.5805766  -3.400084849   2.65779105  -5.31232608  -9.6349984
## 126  -4.8311229  -5.5805766  -3.400084849   2.65779105  -5.31232608  -9.6349984
## 127  -4.8311229  -5.5805766  -3.400084849   2.65779105  -5.31232608  -9.6349984
## 128  -4.8311229  -5.5805766  -3.400084849   2.65779105  -5.31232608  -9.6349984
## 129   0.2188383  -5.0047125  -1.229196092  -1.71937873  -3.60136026  -4.4913166
## 130   0.2188383  -5.0047125  -1.229196092  -1.71937873  -3.60136026  -4.4913166
## 131   0.2188383  -5.0047125  -1.229196092  -1.71937873  -3.60136026  -4.4913166
## 132   0.2188383  -5.0047125  -1.229196092  -1.71937873  -3.60136026  -4.4913166
## 133   0.2188383  -5.0047125  -1.229196092  -1.71937873  -3.60136026  -4.4913166
## 134   0.2188383  -5.0047125  -1.229196092  -1.71937873  -3.60136026  -4.4913166
## 135   0.2188383  -5.0047125  -1.229196092  -1.71937873  -3.60136026  -4.4913166
## 136   0.2188383  -5.0047125  -1.229196092  -1.71937873  -3.60136026  -4.4913166
## 137  48.7674514 -71.2103932 -25.672660660   7.19508682 109.72718844 -40.4682648
## 138  48.7674514 -71.2103932 -25.672660660   7.19508682 109.72718844 -40.4682648
## 139  48.7674514 -71.2103932 -25.672660660   7.19508682 109.72718844 -40.4682648
## 140  48.7674514 -71.2103932 -25.672660660   7.19508682 109.72718844 -40.4682648
## 141  48.7674514 -71.2103932 -25.672660660   7.19508682 109.72718844 -40.4682648
## 142  48.7674514 -71.2103932 -25.672660660   7.19508682 109.72718844 -40.4682648
## 143  48.7674514 -71.2103932 -25.672660660   7.19508682 109.72718844 -40.4682648
## 144  48.7674514 -71.2103932 -25.672660660   7.19508682 109.72718844 -40.4682648
## 145  -9.1291300  -3.4315394  -0.966718982   0.02294075  -5.28332291   6.7074731
## 146  -9.1291300  -3.4315394  -0.966718982   0.02294075  -5.28332291   6.7074731
## 147  -9.1291300  -3.4315394  -0.966718982   0.02294075  -5.28332291   6.7074731
## 148  -9.1291300  -3.4315394  -0.966718982   0.02294075  -5.28332291   6.7074731
## 149  -9.1291300  -3.4315394  -0.966718982   0.02294075  -5.28332291   6.7074731
## 150  -9.1291300  -3.4315394  -0.966718982   0.02294075  -5.28332291   6.7074731
## 151  -9.1291300  -3.4315394  -0.966718982   0.02294075  -5.28332291   6.7074731
## 152  -9.1291300  -3.4315394  -0.966718982   0.02294075  -5.28332291   6.7074731
## 153 -50.7156419 -39.0143516  73.690147280  50.96590009  41.44596849  40.9520121
## 154 -50.7156419 -39.0143516  73.690147280  50.96590009  41.44596849  40.9520121
## 155 -50.7156419 -39.0143516  73.690147280  50.96590009  41.44596849  40.9520121
## 156 -50.7156419 -39.0143516  73.690147280  50.96590009  41.44596849  40.9520121
## 157 -50.7156419 -39.0143516  73.690147280  50.96590009  41.44596849  40.9520121
## 158 -50.7156419 -39.0143516  73.690147280  50.96590009  41.44596849  40.9520121
## 159 -50.7156419 -39.0143516  73.690147280  50.96590009  41.44596849  40.9520121
## 160 -50.7156419 -39.0143516  73.690147280  50.96590009  41.44596849  40.9520121
## 161  -3.3112370  -5.3391870  -2.723013120  -0.15146528   3.58117932  -5.6215446
## 162  -3.3112370  -5.3391870  -2.723013120  -0.15146528   3.58117932  -5.6215446
## 163  -3.3112370  -5.3391870  -2.723013120  -0.15146528   3.58117932  -5.6215446
## 164  -3.3112370  -5.3391870  -2.723013120  -0.15146528   3.58117932  -5.6215446
## 165  -3.3112370  -5.3391870  -2.723013120  -0.15146528   3.58117932  -5.6215446
## 166  -3.3112370  -5.3391870  -2.723013120  -0.15146528   3.58117932  -5.6215446
## 167  -3.3112370  -5.3391870  -2.723013120  -0.15146528   3.58117932  -5.6215446
## 168  -3.3112370  -5.3391870  -2.723013120  -0.15146528   3.58117932  -5.6215446
## 169  -6.0899104  -2.8662738  -0.237633926  -0.80593549  -2.34165077  -2.3575134
## 170  -6.0899104  -2.8662738  -0.237633926  -0.80593549  -2.34165077  -2.3575134
## 171  -6.0899104  -2.8662738  -0.237633926  -0.80593549  -2.34165077  -2.3575134
## 172  -6.0899104  -2.8662738  -0.237633926  -0.80593549  -2.34165077  -2.3575134
## 173  -6.0899104  -2.8662738  -0.237633926  -0.80593549  -2.34165077  -2.3575134
## 174  -6.0899104  -2.8662738  -0.237633926  -0.80593549  -2.34165077  -2.3575134
## 175  -6.0899104  -2.8662738  -0.237633926  -0.80593549  -2.34165077  -2.3575134
## 176  -6.0899104  -2.8662738  -0.237633926  -0.80593549  -2.34165077  -2.3575134
## 177  -8.9062458  -2.5554544   1.617826006  -3.07295238  -1.29918986  -7.3355734
## 178  -8.9062458  -2.5554544   1.617826006  -3.07295238  -1.29918986  -7.3355734
## 179  -8.9062458  -2.5554544   1.617826006  -3.07295238  -1.29918986  -7.3355734
## 180  -8.9062458  -2.5554544   1.617826006  -3.07295238  -1.29918986  -7.3355734
## 181  -8.9062458  -2.5554544   1.617826006  -3.07295238  -1.29918986  -7.3355734
## 182  -8.9062458  -2.5554544   1.617826006  -3.07295238  -1.29918986  -7.3355734
## 183  -8.9062458  -2.5554544   1.617826006  -3.07295238  -1.29918986  -7.3355734
## 184  -8.9062458  -2.5554544   1.617826006  -3.07295238  -1.29918986  -7.3355734
## 185 -18.8004541 -42.1284419 -60.997176066  78.39520436 -25.19334628  11.6956700
## 186 -18.8004541 -42.1284419 -60.997176066  78.39520436 -25.19334628  11.6956700
## 187 -18.8004541 -42.1284419 -60.997176066  78.39520436 -25.19334628  11.6956700
## 188 -18.8004541 -42.1284419 -60.997176066  78.39520436 -25.19334628  11.6956700
## 189 -18.8004541 -42.1284419 -60.997176066  78.39520436 -25.19334628  11.6956700
## 190 -18.8004541 -42.1284419 -60.997176066  78.39520436 -25.19334628  11.6956700
## 191 -18.8004541 -42.1284419 -60.997176066  78.39520436 -25.19334628  11.6956700
## 192 -18.8004541 -42.1284419 -60.997176066  78.39520436 -25.19334628  11.6956700
## 193  -6.5553378  -0.7049108   6.780615686  -9.44473261  -3.32134731  -6.5185815
## 194  -6.5553378  -0.7049108   6.780615686  -9.44473261  -3.32134731  -6.5185815
## 195  -6.5553378  -0.7049108   6.780615686  -9.44473261  -3.32134731  -6.5185815
## 196  -6.5553378  -0.7049108   6.780615686  -9.44473261  -3.32134731  -6.5185815
## 197  -6.5553378  -0.7049108   6.780615686  -9.44473261  -3.32134731  -6.5185815
## 198  -6.5553378  -0.7049108   6.780615686  -9.44473261  -3.32134731  -6.5185815
## 199  -6.5553378  -0.7049108   6.780615686  -9.44473261  -3.32134731  -6.5185815
## 200  -6.5553378  -0.7049108   6.780615686  -9.44473261  -3.32134731  -6.5185815
## 201  -9.7506520  -5.8358536  -7.477074643   6.66470387 -13.11947301  13.3465608
## 202  -9.7506520  -5.8358536  -7.477074643   6.66470387 -13.11947301  13.3465608
## 203  -9.7506520  -5.8358536  -7.477074643   6.66470387 -13.11947301  13.3465608
## 204  -9.7506520  -5.8358536  -7.477074643   6.66470387 -13.11947301  13.3465608
## 205  -9.7506520  -5.8358536  -7.477074643   6.66470387 -13.11947301  13.3465608
## 206  -9.7506520  -5.8358536  -7.477074643   6.66470387 -13.11947301  13.3465608
## 207  -9.7506520  -5.8358536  -7.477074643   6.66470387 -13.11947301  13.3465608
## 208  -9.7506520  -5.8358536  -7.477074643   6.66470387 -13.11947301  13.3465608
## 209  22.0259950 -27.5070155 -16.440346223 -10.57886412 -16.55697240  32.5509328
## 210  22.0259950 -27.5070155 -16.440346223 -10.57886412 -16.55697240  32.5509328
## 211  22.0259950 -27.5070155 -16.440346223 -10.57886412 -16.55697240  32.5509328
## 212  22.0259950 -27.5070155 -16.440346223 -10.57886412 -16.55697240  32.5509328
## 213  22.0259950 -27.5070155 -16.440346223 -10.57886412 -16.55697240  32.5509328
## 214  22.0259950 -27.5070155 -16.440346223 -10.57886412 -16.55697240  32.5509328
## 215  22.0259950 -27.5070155 -16.440346223 -10.57886412 -16.55697240  32.5509328
## 216  22.0259950 -27.5070155 -16.440346223 -10.57886412 -16.55697240  32.5509328
## 217  31.5788072  13.2746996   4.012338749  -2.72522057   2.31995452  -1.1720823
## 218  31.5788072  13.2746996   4.012338749  -2.72522057   2.31995452  -1.1720823
## 219  31.5788072  13.2746996   4.012338749  -2.72522057   2.31995452  -1.1720823
## 220  31.5788072  13.2746996   4.012338749  -2.72522057   2.31995452  -1.1720823
## 221  31.5788072  13.2746996   4.012338749  -2.72522057   2.31995452  -1.1720823
## 222  31.5788072  13.2746996   4.012338749  -2.72522057   2.31995452  -1.1720823
## 223  31.5788072  13.2746996   4.012338749  -2.72522057   2.31995452  -1.1720823
## 224  31.5788072  13.2746996   4.012338749  -2.72522057   2.31995452  -1.1720823
## 225   1.3022949  -2.7582135   1.017982602  -1.28696034  -2.14052600  -1.9165235
## 226   1.3022949  -2.7582135   1.017982602  -1.28696034  -2.14052600  -1.9165235
## 227   1.3022949  -2.7582135   1.017982602  -1.28696034  -2.14052600  -1.9165235
## 228   1.3022949  -2.7582135   1.017982602  -1.28696034  -2.14052600  -1.9165235
## 229   1.3022949  -2.7582135   1.017982602  -1.28696034  -2.14052600  -1.9165235
## 230   1.3022949  -2.7582135   1.017982602  -1.28696034  -2.14052600  -1.9165235
## 231   1.3022949  -2.7582135   1.017982602  -1.28696034  -2.14052600  -1.9165235
## 232   1.3022949  -2.7582135   1.017982602  -1.28696034  -2.14052600  -1.9165235
## 233 -12.7511870  -7.7275663  10.957142213  -7.63281055   9.56040017  -6.3033159
## 234 -12.7511870  -7.7275663  10.957142213  -7.63281055   9.56040017  -6.3033159
## 235 -12.7511870  -7.7275663  10.957142213  -7.63281055   9.56040017  -6.3033159
## 236 -12.7511870  -7.7275663  10.957142213  -7.63281055   9.56040017  -6.3033159
## 237 -12.7511870  -7.7275663  10.957142213  -7.63281055   9.56040017  -6.3033159
## 238 -12.7511870  -7.7275663  10.957142213  -7.63281055   9.56040017  -6.3033159
## 239 -12.7511870  -7.7275663  10.957142213  -7.63281055   9.56040017  -6.3033159
## 240 -12.7511870  -7.7275663  10.957142213  -7.63281055   9.56040017  -6.3033159
## 241 -10.8138422   7.1809428  -3.330933479   1.31472114  -3.17603241  10.9867450
## 242 -10.8138422   7.1809428  -3.330933479   1.31472114  -3.17603241  10.9867450
## 243 -10.8138422   7.1809428  -3.330933479   1.31472114  -3.17603241  10.9867450
## 244 -10.8138422   7.1809428  -3.330933479   1.31472114  -3.17603241  10.9867450
## 245 -10.8138422   7.1809428  -3.330933479   1.31472114  -3.17603241  10.9867450
## 246 -10.8138422   7.1809428  -3.330933479   1.31472114  -3.17603241  10.9867450
## 247 -10.8138422   7.1809428  -3.330933479   1.31472114  -3.17603241  10.9867450
## 248 -10.8138422   7.1809428  -3.330933479   1.31472114  -3.17603241  10.9867450
## 249   0.8540224  -2.7452051   0.843397180  -0.97014158  -4.89399776  -2.6261450
## 250   0.8540224  -2.7452051   0.843397180  -0.97014158  -4.89399776  -2.6261450
## 251   0.8540224  -2.7452051   0.843397180  -0.97014158  -4.89399776  -2.6261450
## 252   0.8540224  -2.7452051   0.843397180  -0.97014158  -4.89399776  -2.6261450
## 253   0.8540224  -2.7452051   0.843397180  -0.97014158  -4.89399776  -2.6261450
## 254   0.8540224  -2.7452051   0.843397180  -0.97014158  -4.89399776  -2.6261450
## 255   0.8540224  -2.7452051   0.843397180  -0.97014158  -4.89399776  -2.6261450
## 256   0.8540224  -2.7452051   0.843397180  -0.97014158  -4.89399776  -2.6261450
## 257  -2.0809482  -0.5450317  -1.825293128  -0.94620473  -0.37329023  -5.0034715
## 258  -2.0809482  -0.5450317  -1.825293128  -0.94620473  -0.37329023  -5.0034715
## 259  -2.0809482  -0.5450317  -1.825293128  -0.94620473  -0.37329023  -5.0034715
## 260  -2.0809482  -0.5450317  -1.825293128  -0.94620473  -0.37329023  -5.0034715
## 261  -2.0809482  -0.5450317  -1.825293128  -0.94620473  -0.37329023  -5.0034715
## 262  -2.0809482  -0.5450317  -1.825293128  -0.94620473  -0.37329023  -5.0034715
## 263  -2.0809482  -0.5450317  -1.825293128  -0.94620473  -0.37329023  -5.0034715
## 264  -2.0809482  -0.5450317  -1.825293128  -0.94620473  -0.37329023  -5.0034715
## 265 -10.4912192   2.7011566   2.040463586  -5.05251038  -5.57485603  -2.7882017
## 266 -10.4912192   2.7011566   2.040463586  -5.05251038  -5.57485603  -2.7882017
## 267 -10.4912192   2.7011566   2.040463586  -5.05251038  -5.57485603  -2.7882017
## 268 -10.4912192   2.7011566   2.040463586  -5.05251038  -5.57485603  -2.7882017
## 269 -10.4912192   2.7011566   2.040463586  -5.05251038  -5.57485603  -2.7882017
## 270 -10.4912192   2.7011566   2.040463586  -5.05251038  -5.57485603  -2.7882017
## 271 -10.4912192   2.7011566   2.040463586  -5.05251038  -5.57485603  -2.7882017
## 272 -10.4912192   2.7011566   2.040463586  -5.05251038  -5.57485603  -2.7882017
## 273  -9.9351769  -5.7408957   2.301536234  -1.99858642 -10.72471513   4.4752474
## 274  -9.9351769  -5.7408957   2.301536234  -1.99858642 -10.72471513   4.4752474
## 275  -9.9351769  -5.7408957   2.301536234  -1.99858642 -10.72471513   4.4752474
## 276  -9.9351769  -5.7408957   2.301536234  -1.99858642 -10.72471513   4.4752474
## 277  -9.9351769  -5.7408957   2.301536234  -1.99858642 -10.72471513   4.4752474
## 278  -9.9351769  -5.7408957   2.301536234  -1.99858642 -10.72471513   4.4752474
## 279  -9.9351769  -5.7408957   2.301536234  -1.99858642 -10.72471513   4.4752474
## 280  -9.9351769  -5.7408957   2.301536234  -1.99858642 -10.72471513   4.4752474
## 281  -3.5310714  -4.0920712   3.077991411   7.79551568   0.66642553   6.1276500
## 282  -3.5310714  -4.0920712   3.077991411   7.79551568   0.66642553   6.1276500
## 283  -3.5310714  -4.0920712   3.077991411   7.79551568   0.66642553   6.1276500
## 284  -3.5310714  -4.0920712   3.077991411   7.79551568   0.66642553   6.1276500
## 285  -3.5310714  -4.0920712   3.077991411   7.79551568   0.66642553   6.1276500
## 286  -3.5310714  -4.0920712   3.077991411   7.79551568   0.66642553   6.1276500
## 287  -3.5310714  -4.0920712   3.077991411   7.79551568   0.66642553   6.1276500
## 288  -3.5310714  -4.0920712   3.077991411   7.79551568   0.66642553   6.1276500
## 289 -17.7307175  -2.1155001   2.575978091   0.32621856  -1.53258299  -4.2851386
## 290 -17.7307175  -2.1155001   2.575978091   0.32621856  -1.53258299  -4.2851386
## 291 -17.7307175  -2.1155001   2.575978091   0.32621856  -1.53258299  -4.2851386
## 292 -17.7307175  -2.1155001   2.575978091   0.32621856  -1.53258299  -4.2851386
## 293 -17.7307175  -2.1155001   2.575978091   0.32621856  -1.53258299  -4.2851386
## 294 -17.7307175  -2.1155001   2.575978091   0.32621856  -1.53258299  -4.2851386
## 295 -17.7307175  -2.1155001   2.575978091   0.32621856  -1.53258299  -4.2851386
## 296 -17.7307175  -2.1155001   2.575978091   0.32621856  -1.53258299  -4.2851386
## 297  -9.4693325  -1.2866034   4.987782836   0.47161884  -0.05578731  -1.2187710
## 298  -9.4693325  -1.2866034   4.987782836   0.47161884  -0.05578731  -1.2187710
## 299  -9.4693325  -1.2866034   4.987782836   0.47161884  -0.05578731  -1.2187710
## 300  -9.4693325  -1.2866034   4.987782836   0.47161884  -0.05578731  -1.2187710
## 301  -9.4693325  -1.2866034   4.987782836   0.47161884  -0.05578731  -1.2187710
## 302  -9.4693325  -1.2866034   4.987782836   0.47161884  -0.05578731  -1.2187710
## 303  -9.4693325  -1.2866034   4.987782836   0.47161884  -0.05578731  -1.2187710
## 304  -9.4693325  -1.2866034   4.987782836   0.47161884  -0.05578731  -1.2187710
## 305  -2.4805544  -3.1125632  -3.125611815   0.44425193  -0.72543734  -5.1202501
## 306  -2.4805544  -3.1125632  -3.125611815   0.44425193  -0.72543734  -5.1202501
## 307  -2.4805544  -3.1125632  -3.125611815   0.44425193  -0.72543734  -5.1202501
## 308  -2.4805544  -3.1125632  -3.125611815   0.44425193  -0.72543734  -5.1202501
## 309  -2.4805544  -3.1125632  -3.125611815   0.44425193  -0.72543734  -5.1202501
## 310  -2.4805544  -3.1125632  -3.125611815   0.44425193  -0.72543734  -5.1202501
## 311  -2.4805544  -3.1125632  -3.125611815   0.44425193  -0.72543734  -5.1202501
## 312  -2.4805544  -3.1125632  -3.125611815   0.44425193  -0.72543734  -5.1202501
## 313 -22.6528809   4.2564780  -6.638129709   7.10994721  -5.66527042   3.9079328
## 314 -22.6528809   4.2564780  -6.638129709   7.10994721  -5.66527042   3.9079328
## 315 -22.6528809   4.2564780  -6.638129709   7.10994721  -5.66527042   3.9079328
## 316 -22.6528809   4.2564780  -6.638129709   7.10994721  -5.66527042   3.9079328
## 317 -22.6528809   4.2564780  -6.638129709   7.10994721  -5.66527042   3.9079328
## 318 -22.6528809   4.2564780  -6.638129709   7.10994721  -5.66527042   3.9079328
## 319 -22.6528809   4.2564780  -6.638129709   7.10994721  -5.66527042   3.9079328
## 320 -22.6528809   4.2564780  -6.638129709   7.10994721  -5.66527042   3.9079328
## 321 -17.6166605   3.0947172   2.990125363  10.07209426  -2.51438950  -0.3054436
## 322 -17.6166605   3.0947172   2.990125363  10.07209426  -2.51438950  -0.3054436
## 323 -17.6166605   3.0947172   2.990125363  10.07209426  -2.51438950  -0.3054436
## 324 -17.6166605   3.0947172   2.990125363  10.07209426  -2.51438950  -0.3054436
## 325 -17.6166605   3.0947172   2.990125363  10.07209426  -2.51438950  -0.3054436
## 326 -17.6166605   3.0947172   2.990125363  10.07209426  -2.51438950  -0.3054436
## 327 -17.6166605   3.0947172   2.990125363  10.07209426  -2.51438950  -0.3054436
## 328 -17.6166605   3.0947172   2.990125363  10.07209426  -2.51438950  -0.3054436
## 329  -3.5888107  -0.2568518  -0.374187509   3.86304219   1.45598940  -3.1248004
## 330  -3.5888107  -0.2568518  -0.374187509   3.86304219   1.45598940  -3.1248004
## 331  -3.5888107  -0.2568518  -0.374187509   3.86304219   1.45598940  -3.1248004
## 332  -3.5888107  -0.2568518  -0.374187509   3.86304219   1.45598940  -3.1248004
## 333  -3.5888107  -0.2568518  -0.374187509   3.86304219   1.45598940  -3.1248004
## 334  -3.5888107  -0.2568518  -0.374187509   3.86304219   1.45598940  -3.1248004
## 335  -3.5888107  -0.2568518  -0.374187509   3.86304219   1.45598940  -3.1248004
## 336  -3.5888107  -0.2568518  -0.374187509   3.86304219   1.45598940  -3.1248004
## 337 -16.1077152   7.2518885   6.840343243  -4.37098625   3.18445394  -7.8781088
## 338 -16.1077152   7.2518885   6.840343243  -4.37098625   3.18445394  -7.8781088
## 339 -16.1077152   7.2518885   6.840343243  -4.37098625   3.18445394  -7.8781088
## 340 -16.1077152   7.2518885   6.840343243  -4.37098625   3.18445394  -7.8781088
## 341 -16.1077152   7.2518885   6.840343243  -4.37098625   3.18445394  -7.8781088
## 342 -16.1077152   7.2518885   6.840343243  -4.37098625   3.18445394  -7.8781088
## 343 -16.1077152   7.2518885   6.840343243  -4.37098625   3.18445394  -7.8781088
## 344 -16.1077152   7.2518885   6.840343243  -4.37098625   3.18445394  -7.8781088
## 345  -5.3252042   4.1206868  -7.047878332   0.06207519  -3.77593472   1.5129282
## 346  -5.3252042   4.1206868  -7.047878332   0.06207519  -3.77593472   1.5129282
## 347  -5.3252042   4.1206868  -7.047878332   0.06207519  -3.77593472   1.5129282
## 348  -5.3252042   4.1206868  -7.047878332   0.06207519  -3.77593472   1.5129282
## 349  -5.3252042   4.1206868  -7.047878332   0.06207519  -3.77593472   1.5129282
## 350  -5.3252042   4.1206868  -7.047878332   0.06207519  -3.77593472   1.5129282
## 351  -5.3252042   4.1206868  -7.047878332   0.06207519  -3.77593472   1.5129282
## 352  -5.3252042   4.1206868  -7.047878332   0.06207519  -3.77593472   1.5129282
## 353   6.9427339  -3.5301723   2.828460260  -3.91997909   2.40907847   0.6185806
## 354   6.9427339  -3.5301723   2.828460260  -3.91997909   2.40907847   0.6185806
## 355   6.9427339  -3.5301723   2.828460260  -3.91997909   2.40907847   0.6185806
## 356   6.9427339  -3.5301723   2.828460260  -3.91997909   2.40907847   0.6185806
## 357   6.9427339  -3.5301723   2.828460260  -3.91997909   2.40907847   0.6185806
## 358   6.9427339  -3.5301723   2.828460260  -3.91997909   2.40907847   0.6185806
## 359   6.9427339  -3.5301723   2.828460260  -3.91997909   2.40907847   0.6185806
## 360   6.9427339  -3.5301723   2.828460260  -3.91997909   2.40907847   0.6185806
## 361  25.5601024   4.0360898 -21.196267883   3.14334305 -36.22738805  24.3278383
## 362  25.5601024   4.0360898 -21.196267883   3.14334305 -36.22738805  24.3278383
## 363  25.5601024   4.0360898 -21.196267883   3.14334305 -36.22738805  24.3278383
## 364  25.5601024   4.0360898 -21.196267883   3.14334305 -36.22738805  24.3278383
## 365  25.5601024   4.0360898 -21.196267883   3.14334305 -36.22738805  24.3278383
## 366  25.5601024   4.0360898 -21.196267883   3.14334305 -36.22738805  24.3278383
## 367  25.5601024   4.0360898 -21.196267883   3.14334305 -36.22738805  24.3278383
## 368  25.5601024   4.0360898 -21.196267883   3.14334305 -36.22738805  24.3278383
## 369 -10.4988266   6.2481958   1.384684515   0.05032022  -0.89797857   0.1288926
## 370 -10.4988266   6.2481958   1.384684515   0.05032022  -0.89797857   0.1288926
## 371 -10.4988266   6.2481958   1.384684515   0.05032022  -0.89797857   0.1288926
## 372 -10.4988266   6.2481958   1.384684515   0.05032022  -0.89797857   0.1288926
## 373 -10.4988266   6.2481958   1.384684515   0.05032022  -0.89797857   0.1288926
## 374 -10.4988266   6.2481958   1.384684515   0.05032022  -0.89797857   0.1288926
## 375 -10.4988266   6.2481958   1.384684515   0.05032022  -0.89797857   0.1288926
## 376 -10.4988266   6.2481958   1.384684515   0.05032022  -0.89797857   0.1288926
## 377   6.4900280   0.6092214  -1.333258811  -2.46225004   0.91359878  -0.5557073
## 378   6.4900280   0.6092214  -1.333258811  -2.46225004   0.91359878  -0.5557073
## 379   6.4900280   0.6092214  -1.333258811  -2.46225004   0.91359878  -0.5557073
## 380   6.4900280   0.6092214  -1.333258811  -2.46225004   0.91359878  -0.5557073
## 381   6.4900280   0.6092214  -1.333258811  -2.46225004   0.91359878  -0.5557073
## 382   6.4900280   0.6092214  -1.333258811  -2.46225004   0.91359878  -0.5557073
## 383   6.4900280   0.6092214  -1.333258811  -2.46225004   0.91359878  -0.5557073
## 384   6.4900280   0.6092214  -1.333258811  -2.46225004   0.91359878  -0.5557073
## 385  -2.5587751   0.2399700   6.743079104  -0.89303678   1.43036707  -4.5930205
## 386  -2.5587751   0.2399700   6.743079104  -0.89303678   1.43036707  -4.5930205
## 387  -2.5587751   0.2399700   6.743079104  -0.89303678   1.43036707  -4.5930205
## 388  -2.5587751   0.2399700   6.743079104  -0.89303678   1.43036707  -4.5930205
## 389  -2.5587751   0.2399700   6.743079104  -0.89303678   1.43036707  -4.5930205
## 390  -2.5587751   0.2399700   6.743079104  -0.89303678   1.43036707  -4.5930205
## 391  -2.5587751   0.2399700   6.743079104  -0.89303678   1.43036707  -4.5930205
## 392  -2.5587751   0.2399700   6.743079104  -0.89303678   1.43036707  -4.5930205
## 393   1.5234723  -0.4244809   1.794455106  -6.67846467  -3.61018124  -3.8288977
## 394   1.5234723  -0.4244809   1.794455106  -6.67846467  -3.61018124  -3.8288977
## 395   1.5234723  -0.4244809   1.794455106  -6.67846467  -3.61018124  -3.8288977
## 396   1.5234723  -0.4244809   1.794455106  -6.67846467  -3.61018124  -3.8288977
## 397   1.5234723  -0.4244809   1.794455106  -6.67846467  -3.61018124  -3.8288977
## 398   1.5234723  -0.4244809   1.794455106  -6.67846467  -3.61018124  -3.8288977
## 399   1.5234723  -0.4244809   1.794455106  -6.67846467  -3.61018124  -3.8288977
## 400   1.5234723  -0.4244809   1.794455106  -6.67846467  -3.61018124  -3.8288977
## 401 -10.7211711   6.2297243   2.449693634   4.46630164  -2.18857959   5.1332164
## 402 -10.7211711   6.2297243   2.449693634   4.46630164  -2.18857959   5.1332164
## 403 -10.7211711   6.2297243   2.449693634   4.46630164  -2.18857959   5.1332164
## 404 -10.7211711   6.2297243   2.449693634   4.46630164  -2.18857959   5.1332164
## 405 -10.7211711   6.2297243   2.449693634   4.46630164  -2.18857959   5.1332164
## 406 -10.7211711   6.2297243   2.449693634   4.46630164  -2.18857959   5.1332164
## 407 -10.7211711   6.2297243   2.449693634   4.46630164  -2.18857959   5.1332164
## 408 -10.7211711   6.2297243   2.449693634   4.46630164  -2.18857959   5.1332164
## 409 -13.6765051   5.4920039  -6.205045540   1.01199408  -5.13557574   2.4134377
## 410 -13.6765051   5.4920039  -6.205045540   1.01199408  -5.13557574   2.4134377
## 411 -13.6765051   5.4920039  -6.205045540   1.01199408  -5.13557574   2.4134377
## 412 -13.6765051   5.4920039  -6.205045540   1.01199408  -5.13557574   2.4134377
## 413 -13.6765051   5.4920039  -6.205045540   1.01199408  -5.13557574   2.4134377
## 414 -13.6765051   5.4920039  -6.205045540   1.01199408  -5.13557574   2.4134377
## 415 -13.6765051   5.4920039  -6.205045540   1.01199408  -5.13557574   2.4134377
## 416 -13.6765051   5.4920039  -6.205045540   1.01199408  -5.13557574   2.4134377
## 417   2.7779893  -2.6379333  -2.216440151  -1.55728415  -2.77011723  -5.9821001
## 418   2.7779893  -2.6379333  -2.216440151  -1.55728415  -2.77011723  -5.9821001
## 419   2.7779893  -2.6379333  -2.216440151  -1.55728415  -2.77011723  -5.9821001
## 420   2.7779893  -2.6379333  -2.216440151  -1.55728415  -2.77011723  -5.9821001
## 421   2.7779893  -2.6379333  -2.216440151  -1.55728415  -2.77011723  -5.9821001
## 422   2.7779893  -2.6379333  -2.216440151  -1.55728415  -2.77011723  -5.9821001
## 423   2.7779893  -2.6379333  -2.216440151  -1.55728415  -2.77011723  -5.9821001
## 424   2.7779893  -2.6379333  -2.216440151  -1.55728415  -2.77011723  -5.9821001
## 425  13.3197997  -6.5772625  -6.227674000 -13.53205249  -5.22871325  -3.6994853
## 426  13.3197997  -6.5772625  -6.227674000 -13.53205249  -5.22871325  -3.6994853
## 427  13.3197997  -6.5772625  -6.227674000 -13.53205249  -5.22871325  -3.6994853
## 428  13.3197997  -6.5772625  -6.227674000 -13.53205249  -5.22871325  -3.6994853
## 429  13.3197997  -6.5772625  -6.227674000 -13.53205249  -5.22871325  -3.6994853
## 430  13.3197997  -6.5772625  -6.227674000 -13.53205249  -5.22871325  -3.6994853
## 431  13.3197997  -6.5772625  -6.227674000 -13.53205249  -5.22871325  -3.6994853
## 432  13.3197997  -6.5772625  -6.227674000 -13.53205249  -5.22871325  -3.6994853
## 433  -5.9167633   0.5319983  -0.108545305  -0.07887528   0.65993252 -11.2252769
## 434  -5.9167633   0.5319983  -0.108545305  -0.07887528   0.65993252 -11.2252769
## 435  -5.9167633   0.5319983  -0.108545305  -0.07887528   0.65993252 -11.2252769
## 436  -5.9167633   0.5319983  -0.108545305  -0.07887528   0.65993252 -11.2252769
## 437  -5.9167633   0.5319983  -0.108545305  -0.07887528   0.65993252 -11.2252769
## 438  -5.9167633   0.5319983  -0.108545305  -0.07887528   0.65993252 -11.2252769
## 439  -5.9167633   0.5319983  -0.108545305  -0.07887528   0.65993252 -11.2252769
## 440  -5.9167633   0.5319983  -0.108545305  -0.07887528   0.65993252 -11.2252769
## 441  35.1216307 -22.6704588 -51.135397480 -26.50676886 -17.62738156  24.5290924
## 442  35.1216307 -22.6704588 -51.135397480 -26.50676886 -17.62738156  24.5290924
## 443  35.1216307 -22.6704588 -51.135397480 -26.50676886 -17.62738156  24.5290924
## 444  35.1216307 -22.6704588 -51.135397480 -26.50676886 -17.62738156  24.5290924
## 445  35.1216307 -22.6704588 -51.135397480 -26.50676886 -17.62738156  24.5290924
## 446  35.1216307 -22.6704588 -51.135397480 -26.50676886 -17.62738156  24.5290924
## 447  35.1216307 -22.6704588 -51.135397480 -26.50676886 -17.62738156  24.5290924
## 448  35.1216307 -22.6704588 -51.135397480 -26.50676886 -17.62738156  24.5290924
## 449   5.9902323  -1.6281680  -0.741372719  -7.38541239  -2.37476356  -2.3426788
## 450   5.9902323  -1.6281680  -0.741372719  -7.38541239  -2.37476356  -2.3426788
## 451   5.9902323  -1.6281680  -0.741372719  -7.38541239  -2.37476356  -2.3426788
## 452   5.9902323  -1.6281680  -0.741372719  -7.38541239  -2.37476356  -2.3426788
## 453   5.9902323  -1.6281680  -0.741372719  -7.38541239  -2.37476356  -2.3426788
## 454   5.9902323  -1.6281680  -0.741372719  -7.38541239  -2.37476356  -2.3426788
## 455   5.9902323  -1.6281680  -0.741372719  -7.38541239  -2.37476356  -2.3426788
## 456   5.9902323  -1.6281680  -0.741372719  -7.38541239  -2.37476356  -2.3426788
## 457   1.2257111  -4.8840153  -1.051109977  -2.63448996  -5.71655511  -2.2162717
## 458   1.2257111  -4.8840153  -1.051109977  -2.63448996  -5.71655511  -2.2162717
## 459   1.2257111  -4.8840153  -1.051109977  -2.63448996  -5.71655511  -2.2162717
## 460   1.2257111  -4.8840153  -1.051109977  -2.63448996  -5.71655511  -2.2162717
## 461   1.2257111  -4.8840153  -1.051109977  -2.63448996  -5.71655511  -2.2162717
## 462   1.2257111  -4.8840153  -1.051109977  -2.63448996  -5.71655511  -2.2162717
## 463   1.2257111  -4.8840153  -1.051109977  -2.63448996  -5.71655511  -2.2162717
## 464   1.2257111  -4.8840153  -1.051109977  -2.63448996  -5.71655511  -2.2162717
## 465   0.9206588  -1.6892147   0.605981697   2.85971193  -0.17807382  -7.2061781
## 466   0.9206588  -1.6892147   0.605981697   2.85971193  -0.17807382  -7.2061781
## 467   0.9206588  -1.6892147   0.605981697   2.85971193  -0.17807382  -7.2061781
## 468   0.9206588  -1.6892147   0.605981697   2.85971193  -0.17807382  -7.2061781
## 469   0.9206588  -1.6892147   0.605981697   2.85971193  -0.17807382  -7.2061781
## 470   0.9206588  -1.6892147   0.605981697   2.85971193  -0.17807382  -7.2061781
## 471   0.9206588  -1.6892147   0.605981697   2.85971193  -0.17807382  -7.2061781
## 472   0.9206588  -1.6892147   0.605981697   2.85971193  -0.17807382  -7.2061781
## 473  32.6412380 -18.7472931  -1.463278937 -10.38620336 -11.01403709  17.4918076
## 474  32.6412380 -18.7472931  -1.463278937 -10.38620336 -11.01403709  17.4918076
## 475  32.6412380 -18.7472931  -1.463278937 -10.38620336 -11.01403709  17.4918076
## 476  32.6412380 -18.7472931  -1.463278937 -10.38620336 -11.01403709  17.4918076
## 477  32.6412380 -18.7472931  -1.463278937 -10.38620336 -11.01403709  17.4918076
## 478  32.6412380 -18.7472931  -1.463278937 -10.38620336 -11.01403709  17.4918076
## 479  32.6412380 -18.7472931  -1.463278937 -10.38620336 -11.01403709  17.4918076
## 480  32.6412380 -18.7472931  -1.463278937 -10.38620336 -11.01403709  17.4918076
## 481 -31.1825858   8.0316422  12.100712180 -13.30394620  11.75068048 -46.4985397
## 482 -31.1825858   8.0316422  12.100712180 -13.30394620  11.75068048 -46.4985397
## 483 -31.1825858   8.0316422  12.100712180 -13.30394620  11.75068048 -46.4985397
## 484 -31.1825858   8.0316422  12.100712180 -13.30394620  11.75068048 -46.4985397
## 485 -31.1825858   8.0316422  12.100712180 -13.30394620  11.75068048 -46.4985397
## 486 -31.1825858   8.0316422  12.100712180 -13.30394620  11.75068048 -46.4985397
## 487 -31.1825858   8.0316422  12.100712180 -13.30394620  11.75068048 -46.4985397
## 488 -31.1825858   8.0316422  12.100712180 -13.30394620  11.75068048 -46.4985397
## 489  18.0522692  -0.7264733   9.976428405 -15.97739447   1.90670788  22.8443449
## 490  18.0522692  -0.7264733   9.976428405 -15.97739447   1.90670788  22.8443449
## 491  18.0522692  -0.7264733   9.976428405 -15.97739447   1.90670788  22.8443449
## 492  18.0522692  -0.7264733   9.976428405 -15.97739447   1.90670788  22.8443449
## 493  18.0522692  -0.7264733   9.976428405 -15.97739447   1.90670788  22.8443449
## 494  18.0522692  -0.7264733   9.976428405 -15.97739447   1.90670788  22.8443449
## 495  18.0522692  -0.7264733   9.976428405 -15.97739447   1.90670788  22.8443449
## 496  18.0522692  -0.7264733   9.976428405 -15.97739447   1.90670788  22.8443449
## 497  -5.1830832   3.4144561   6.067936580  -4.81365366  -0.91892301  -8.4231521
## 498  -5.1830832   3.4144561   6.067936580  -4.81365366  -0.91892301  -8.4231521
## 499  -5.1830832   3.4144561   6.067936580  -4.81365366  -0.91892301  -8.4231521
## 500  -5.1830832   3.4144561   6.067936580  -4.81365366  -0.91892301  -8.4231521
## 501  -5.1830832   3.4144561   6.067936580  -4.81365366  -0.91892301  -8.4231521
## 502  -5.1830832   3.4144561   6.067936580  -4.81365366  -0.91892301  -8.4231521
## 503  -5.1830832   3.4144561   6.067936580  -4.81365366  -0.91892301  -8.4231521
## 504  -5.1830832   3.4144561   6.067936580  -4.81365366  -0.91892301  -8.4231521
## 505   0.4296124 -10.3096175 -25.905405133  30.17712273  -0.98357903  11.9074112
## 506   0.4296124 -10.3096175 -25.905405133  30.17712273  -0.98357903  11.9074112
## 507   0.4296124 -10.3096175 -25.905405133  30.17712273  -0.98357903  11.9074112
## 508   0.4296124 -10.3096175 -25.905405133  30.17712273  -0.98357903  11.9074112
## 509   0.4296124 -10.3096175 -25.905405133  30.17712273  -0.98357903  11.9074112
## 510   0.4296124 -10.3096175 -25.905405133  30.17712273  -0.98357903  11.9074112
## 511   0.4296124 -10.3096175 -25.905405133  30.17712273  -0.98357903  11.9074112
## 512   0.4296124 -10.3096175 -25.905405133  30.17712273  -0.98357903  11.9074112
## 513   5.3914977  -1.3915600   3.124608178  -2.79306805   4.21174276   3.5302632
## 514   5.3914977  -1.3915600   3.124608178  -2.79306805   4.21174276   3.5302632
## 515   5.3914977  -1.3915600   3.124608178  -2.79306805   4.21174276   3.5302632
## 516   5.3914977  -1.3915600   3.124608178  -2.79306805   4.21174276   3.5302632
## 517   5.3914977  -1.3915600   3.124608178  -2.79306805   4.21174276   3.5302632
## 518   5.3914977  -1.3915600   3.124608178  -2.79306805   4.21174276   3.5302632
## 519   5.3914977  -1.3915600   3.124608178  -2.79306805   4.21174276   3.5302632
## 520   5.3914977  -1.3915600   3.124608178  -2.79306805   4.21174276   3.5302632
## 521   3.6029670   4.3861171  -0.047335144  -6.00291431  -3.20425174  -4.3457924
## 522   3.6029670   4.3861171  -0.047335144  -6.00291431  -3.20425174  -4.3457924
## 523   3.6029670   4.3861171  -0.047335144  -6.00291431  -3.20425174  -4.3457924
## 524   3.6029670   4.3861171  -0.047335144  -6.00291431  -3.20425174  -4.3457924
## 525   3.6029670   4.3861171  -0.047335144  -6.00291431  -3.20425174  -4.3457924
## 526   3.6029670   4.3861171  -0.047335144  -6.00291431  -3.20425174  -4.3457924
## 527   3.6029670   4.3861171  -0.047335144  -6.00291431  -3.20425174  -4.3457924
## 528   3.6029670   4.3861171  -0.047335144  -6.00291431  -3.20425174  -4.3457924
## 529 -22.1320438  12.4950943   8.655460929  -4.34738187   9.21287512   6.5198917
## 530 -22.1320438  12.4950943   8.655460929  -4.34738187   9.21287512   6.5198917
## 531 -22.1320438  12.4950943   8.655460929  -4.34738187   9.21287512   6.5198917
## 532 -22.1320438  12.4950943   8.655460929  -4.34738187   9.21287512   6.5198917
## 533 -22.1320438  12.4950943   8.655460929  -4.34738187   9.21287512   6.5198917
## 534 -22.1320438  12.4950943   8.655460929  -4.34738187   9.21287512   6.5198917
## 535 -22.1320438  12.4950943   8.655460929  -4.34738187   9.21287512   6.5198917
## 536 -22.1320438  12.4950943   8.655460929  -4.34738187   9.21287512   6.5198917
## 537   3.1721855  -4.2650666   1.579327731  -5.70931731  -2.13109140  -4.3852645
## 538   3.1721855  -4.2650666   1.579327731  -5.70931731  -2.13109140  -4.3852645
## 539   3.1721855  -4.2650666   1.579327731  -5.70931731  -2.13109140  -4.3852645
## 540   3.1721855  -4.2650666   1.579327731  -5.70931731  -2.13109140  -4.3852645
## 541   3.1721855  -4.2650666   1.579327731  -5.70931731  -2.13109140  -4.3852645
## 542   3.1721855  -4.2650666   1.579327731  -5.70931731  -2.13109140  -4.3852645
## 543   3.1721855  -4.2650666   1.579327731  -5.70931731  -2.13109140  -4.3852645
## 544   3.1721855  -4.2650666   1.579327731  -5.70931731  -2.13109140  -4.3852645
## 545  -3.8828436   4.4804616   2.125165495  -5.32209970  -2.13695440  -4.6102630
## 546  -3.8828436   4.4804616   2.125165495  -5.32209970  -2.13695440  -4.6102630
## 547  -3.8828436   4.4804616   2.125165495  -5.32209970  -2.13695440  -4.6102630
## 548  -3.8828436   4.4804616   2.125165495  -5.32209970  -2.13695440  -4.6102630
## 549  -3.8828436   4.4804616   2.125165495  -5.32209970  -2.13695440  -4.6102630
## 550  -3.8828436   4.4804616   2.125165495  -5.32209970  -2.13695440  -4.6102630
## 551  -3.8828436   4.4804616   2.125165495  -5.32209970  -2.13695440  -4.6102630
## 552  -3.8828436   4.4804616   2.125165495  -5.32209970  -2.13695440  -4.6102630
## 553  -4.5916815  -6.2629558  -9.886306269   1.11914251   2.91123468  -7.9900679
## 554  -4.5916815  -6.2629558  -9.886306269   1.11914251   2.91123468  -7.9900679
## 555  -4.5916815  -6.2629558  -9.886306269   1.11914251   2.91123468  -7.9900679
## 556  -4.5916815  -6.2629558  -9.886306269   1.11914251   2.91123468  -7.9900679
## 557  -4.5916815  -6.2629558  -9.886306269   1.11914251   2.91123468  -7.9900679
## 558  -4.5916815  -6.2629558  -9.886306269   1.11914251   2.91123468  -7.9900679
## 559  -4.5916815  -6.2629558  -9.886306269   1.11914251   2.91123468  -7.9900679
## 560  -4.5916815  -6.2629558  -9.886306269   1.11914251   2.91123468  -7.9900679
## 561  -7.6591744   2.8976040   4.548777022   0.67891957   0.99261810  -3.4303221
## 562  -7.6591744   2.8976040   4.548777022   0.67891957   0.99261810  -3.4303221
## 563  -7.6591744   2.8976040   4.548777022   0.67891957   0.99261810  -3.4303221
## 564  -7.6591744   2.8976040   4.548777022   0.67891957   0.99261810  -3.4303221
## 565  -7.6591744   2.8976040   4.548777022   0.67891957   0.99261810  -3.4303221
## 566  -7.6591744   2.8976040   4.548777022   0.67891957   0.99261810  -3.4303221
## 567  -7.6591744   2.8976040   4.548777022   0.67891957   0.99261810  -3.4303221
## 568  -7.6591744   2.8976040   4.548777022   0.67891957   0.99261810  -3.4303221
## 569  -0.9606179  -3.4773995  -0.529787721  -0.65529566  -1.30411430  -0.5145210
## 570  -0.9606179  -3.4773995  -0.529787721  -0.65529566  -1.30411430  -0.5145210
## 571  -0.9606179  -3.4773995  -0.529787721  -0.65529566  -1.30411430  -0.5145210
## 572  -0.9606179  -3.4773995  -0.529787721  -0.65529566  -1.30411430  -0.5145210
## 573  -0.9606179  -3.4773995  -0.529787721  -0.65529566  -1.30411430  -0.5145210
## 574  -0.9606179  -3.4773995  -0.529787721  -0.65529566  -1.30411430  -0.5145210
## 575  -0.9606179  -3.4773995  -0.529787721  -0.65529566  -1.30411430  -0.5145210
## 576  -0.9606179  -3.4773995  -0.529787721  -0.65529566  -1.30411430  -0.5145210
## 577  -3.9579636   2.3249914   3.630449764  -6.33286665  -2.22692010 -12.6296070
## 578  -3.9579636   2.3249914   3.630449764  -6.33286665  -2.22692010 -12.6296070
## 579  -3.9579636   2.3249914   3.630449764  -6.33286665  -2.22692010 -12.6296070
## 580  -3.9579636   2.3249914   3.630449764  -6.33286665  -2.22692010 -12.6296070
## 581  -3.9579636   2.3249914   3.630449764  -6.33286665  -2.22692010 -12.6296070
## 582  -3.9579636   2.3249914   3.630449764  -6.33286665  -2.22692010 -12.6296070
## 583  -3.9579636   2.3249914   3.630449764  -6.33286665  -2.22692010 -12.6296070
## 584  -3.9579636   2.3249914   3.630449764  -6.33286665  -2.22692010 -12.6296070
## 585  -2.9272293  15.7502622 -32.725786611  13.59550249  54.10378824  48.5874224
## 586  -2.9272293  15.7502622 -32.725786611  13.59550249  54.10378824  48.5874224
## 587  -2.9272293  15.7502622 -32.725786611  13.59550249  54.10378824  48.5874224
## 588  -2.9272293  15.7502622 -32.725786611  13.59550249  54.10378824  48.5874224
## 589  -2.9272293  15.7502622 -32.725786611  13.59550249  54.10378824  48.5874224
## 590  -2.9272293  15.7502622 -32.725786611  13.59550249  54.10378824  48.5874224
## 591  -2.9272293  15.7502622 -32.725786611  13.59550249  54.10378824  48.5874224
## 592  -2.9272293  15.7502622 -32.725786611  13.59550249  54.10378824  48.5874224
## 593   7.9126831   3.6919532   0.817875845  46.43795425   2.92952804  -3.8171843
## 594   7.9126831   3.6919532   0.817875845  46.43795425   2.92952804  -3.8171843
## 595   7.9126831   3.6919532   0.817875845  46.43795425   2.92952804  -3.8171843
## 596   7.9126831   3.6919532   0.817875845  46.43795425   2.92952804  -3.8171843
## 597   7.9126831   3.6919532   0.817875845  46.43795425   2.92952804  -3.8171843
## 598   7.9126831   3.6919532   0.817875845  46.43795425   2.92952804  -3.8171843
## 599   7.9126831   3.6919532   0.817875845  46.43795425   2.92952804  -3.8171843
## 600   7.9126831   3.6919532   0.817875845  46.43795425   2.92952804  -3.8171843
## 601  -1.1551737   4.3934400   4.661343520  -5.40791757  -0.06872482  -4.6487478
## 602  -1.1551737   4.3934400   4.661343520  -5.40791757  -0.06872482  -4.6487478
## 603  -1.1551737   4.3934400   4.661343520  -5.40791757  -0.06872482  -4.6487478
## 604  -1.1551737   4.3934400   4.661343520  -5.40791757  -0.06872482  -4.6487478
## 605  -1.1551737   4.3934400   4.661343520  -5.40791757  -0.06872482  -4.6487478
## 606  -1.1551737   4.3934400   4.661343520  -5.40791757  -0.06872482  -4.6487478
## 607  -1.1551737   4.3934400   4.661343520  -5.40791757  -0.06872482  -4.6487478
## 608  -1.1551737   4.3934400   4.661343520  -5.40791757  -0.06872482  -4.6487478
## 609  -3.3054555   1.8144455   2.249750174  -3.04292673   0.82272242  -6.9656035
## 610  -3.3054555   1.8144455   2.249750174  -3.04292673   0.82272242  -6.9656035
## 611  -3.3054555   1.8144455   2.249750174  -3.04292673   0.82272242  -6.9656035
## 612  -3.3054555   1.8144455   2.249750174  -3.04292673   0.82272242  -6.9656035
## 613  -3.3054555   1.8144455   2.249750174  -3.04292673   0.82272242  -6.9656035
## 614  -3.3054555   1.8144455   2.249750174  -3.04292673   0.82272242  -6.9656035
## 615  -3.3054555   1.8144455   2.249750174  -3.04292673   0.82272242  -6.9656035
## 616  -3.3054555   1.8144455   2.249750174  -3.04292673   0.82272242  -6.9656035
## 617  -1.6579784   5.3981623   2.031039778  -3.36925776   2.06916724  -8.1985300
## 618  -1.6579784   5.3981623   2.031039778  -3.36925776   2.06916724  -8.1985300
## 619  -1.6579784   5.3981623   2.031039778  -3.36925776   2.06916724  -8.1985300
## 620  -1.6579784   5.3981623   2.031039778  -3.36925776   2.06916724  -8.1985300
## 621  -1.6579784   5.3981623   2.031039778  -3.36925776   2.06916724  -8.1985300
## 622  -1.6579784   5.3981623   2.031039778  -3.36925776   2.06916724  -8.1985300
## 623  -1.6579784   5.3981623   2.031039778  -3.36925776   2.06916724  -8.1985300
## 624  -1.6579784   5.3981623   2.031039778  -3.36925776   2.06916724  -8.1985300
## 625 -12.0946888   8.4009465   3.867613981  -3.41278933   2.02046802  -6.2696807
## 626 -12.0946888   8.4009465   3.867613981  -3.41278933   2.02046802  -6.2696807
## 627 -12.0946888   8.4009465   3.867613981  -3.41278933   2.02046802  -6.2696807
## 628 -12.0946888   8.4009465   3.867613981  -3.41278933   2.02046802  -6.2696807
## 629 -12.0946888   8.4009465   3.867613981  -3.41278933   2.02046802  -6.2696807
## 630 -12.0946888   8.4009465   3.867613981  -3.41278933   2.02046802  -6.2696807
## 631 -12.0946888   8.4009465   3.867613981  -3.41278933   2.02046802  -6.2696807
## 632 -12.0946888   8.4009465   3.867613981  -3.41278933   2.02046802  -6.2696807
## 633   6.0868619   1.1335713   0.285106218  -3.36011919   2.82630347   0.6643230
## 634   6.0868619   1.1335713   0.285106218  -3.36011919   2.82630347   0.6643230
## 635   6.0868619   1.1335713   0.285106218  -3.36011919   2.82630347   0.6643230
## 636   6.0868619   1.1335713   0.285106218  -3.36011919   2.82630347   0.6643230
## 637   6.0868619   1.1335713   0.285106218  -3.36011919   2.82630347   0.6643230
## 638   6.0868619   1.1335713   0.285106218  -3.36011919   2.82630347   0.6643230
## 639   6.0868619   1.1335713   0.285106218  -3.36011919   2.82630347   0.6643230
## 640   6.0868619   1.1335713   0.285106218  -3.36011919   2.82630347   0.6643230
## 641   1.5701055 -10.4028011 -11.077604781 -10.30396627 -16.65845462  -8.6285523
## 642   1.5701055 -10.4028011 -11.077604781 -10.30396627 -16.65845462  -8.6285523
## 643   1.5701055 -10.4028011 -11.077604781 -10.30396627 -16.65845462  -8.6285523
## 644   1.5701055 -10.4028011 -11.077604781 -10.30396627 -16.65845462  -8.6285523
## 645   1.5701055 -10.4028011 -11.077604781 -10.30396627 -16.65845462  -8.6285523
## 646   1.5701055 -10.4028011 -11.077604781 -10.30396627 -16.65845462  -8.6285523
## 647   1.5701055 -10.4028011 -11.077604781 -10.30396627 -16.65845462  -8.6285523
## 648   1.5701055 -10.4028011 -11.077604781 -10.30396627 -16.65845462  -8.6285523
## 649   2.7902411  -1.8955170   5.161055283  -0.43799723   4.42082255  -3.3884114
## 650   2.7902411  -1.8955170   5.161055283  -0.43799723   4.42082255  -3.3884114
## 651   2.7902411  -1.8955170   5.161055283  -0.43799723   4.42082255  -3.3884114
## 652   2.7902411  -1.8955170   5.161055283  -0.43799723   4.42082255  -3.3884114
## 653   2.7902411  -1.8955170   5.161055283  -0.43799723   4.42082255  -3.3884114
## 654   2.7902411  -1.8955170   5.161055283  -0.43799723   4.42082255  -3.3884114
## 655   2.7902411  -1.8955170   5.161055283  -0.43799723   4.42082255  -3.3884114
## 656   2.7902411  -1.8955170   5.161055283  -0.43799723   4.42082255  -3.3884114
## 657 -18.9806393  11.4996974   1.765704230  -1.84609438  -0.07225226 -15.4227486
## 658 -18.9806393  11.4996974   1.765704230  -1.84609438  -0.07225226 -15.4227486
## 659 -18.9806393  11.4996974   1.765704230  -1.84609438  -0.07225226 -15.4227486
## 660 -18.9806393  11.4996974   1.765704230  -1.84609438  -0.07225226 -15.4227486
## 661 -18.9806393  11.4996974   1.765704230  -1.84609438  -0.07225226 -15.4227486
## 662 -18.9806393  11.4996974   1.765704230  -1.84609438  -0.07225226 -15.4227486
## 663 -18.9806393  11.4996974   1.765704230  -1.84609438  -0.07225226 -15.4227486
## 664 -18.9806393  11.4996974   1.765704230  -1.84609438  -0.07225226 -15.4227486
## 665 -28.6836680  15.9945940  10.404376712   8.69799736   9.14702866 -13.1901928
## 666 -28.6836680  15.9945940  10.404376712   8.69799736   9.14702866 -13.1901928
## 667 -28.6836680  15.9945940  10.404376712   8.69799736   9.14702866 -13.1901928
## 668 -28.6836680  15.9945940  10.404376712   8.69799736   9.14702866 -13.1901928
## 669 -28.6836680  15.9945940  10.404376712   8.69799736   9.14702866 -13.1901928
## 670 -28.6836680  15.9945940  10.404376712   8.69799736   9.14702866 -13.1901928
## 671 -28.6836680  15.9945940  10.404376712   8.69799736   9.14702866 -13.1901928
## 672 -28.6836680  15.9945940  10.404376712   8.69799736   9.14702866 -13.1901928
## 673   2.6435503   1.3970520   3.945467537  -4.25132188  -1.11941374  -6.0819152
## 674   2.6435503   1.3970520   3.945467537  -4.25132188  -1.11941374  -6.0819152
## 675   2.6435503   1.3970520   3.945467537  -4.25132188  -1.11941374  -6.0819152
## 676   2.6435503   1.3970520   3.945467537  -4.25132188  -1.11941374  -6.0819152
## 677   2.6435503   1.3970520   3.945467537  -4.25132188  -1.11941374  -6.0819152
## 678   2.6435503   1.3970520   3.945467537  -4.25132188  -1.11941374  -6.0819152
## 679   2.6435503   1.3970520   3.945467537  -4.25132188  -1.11941374  -6.0819152
## 680   2.6435503   1.3970520   3.945467537  -4.25132188  -1.11941374  -6.0819152
## 681   5.2885183  13.9234345  -3.393225367 -18.26528348   4.61821934   5.6137473
## 682   5.2885183  13.9234345  -3.393225367 -18.26528348   4.61821934   5.6137473
## 683   5.2885183  13.9234345  -3.393225367 -18.26528348   4.61821934   5.6137473
## 684   5.2885183  13.9234345  -3.393225367 -18.26528348   4.61821934   5.6137473
## 685   5.2885183  13.9234345  -3.393225367 -18.26528348   4.61821934   5.6137473
## 686   5.2885183  13.9234345  -3.393225367 -18.26528348   4.61821934   5.6137473
## 687   5.2885183  13.9234345  -3.393225367 -18.26528348   4.61821934   5.6137473
## 688   5.2885183  13.9234345  -3.393225367 -18.26528348   4.61821934   5.6137473
## 689   3.6307002   4.0321132  -0.153079338  -3.21636954  -1.32145476  -2.1917578
## 690   3.6307002   4.0321132  -0.153079338  -3.21636954  -1.32145476  -2.1917578
## 691   3.6307002   4.0321132  -0.153079338  -3.21636954  -1.32145476  -2.1917578
## 692   3.6307002   4.0321132  -0.153079338  -3.21636954  -1.32145476  -2.1917578
## 693   3.6307002   4.0321132  -0.153079338  -3.21636954  -1.32145476  -2.1917578
## 694   3.6307002   4.0321132  -0.153079338  -3.21636954  -1.32145476  -2.1917578
## 695   3.6307002   4.0321132  -0.153079338  -3.21636954  -1.32145476  -2.1917578
## 696   3.6307002   4.0321132  -0.153079338  -3.21636954  -1.32145476  -2.1917578
## 697  11.8434037  20.4960945   0.036361259 -11.33437641  -4.61750638  -3.6655100
## 698  11.8434037  20.4960945   0.036361259 -11.33437641  -4.61750638  -3.6655100
## 699  11.8434037  20.4960945   0.036361259 -11.33437641  -4.61750638  -3.6655100
## 700  11.8434037  20.4960945   0.036361259 -11.33437641  -4.61750638  -3.6655100
## 701  11.8434037  20.4960945   0.036361259 -11.33437641  -4.61750638  -3.6655100
## 702  11.8434037  20.4960945   0.036361259 -11.33437641  -4.61750638  -3.6655100
## 703  11.8434037  20.4960945   0.036361259 -11.33437641  -4.61750638  -3.6655100
## 704  11.8434037  20.4960945   0.036361259 -11.33437641  -4.61750638  -3.6655100
## 705  -3.1013884   5.7009017   4.089325276  -4.71632574  -3.27060257  -2.9378313
## 706  -3.1013884   5.7009017   4.089325276  -4.71632574  -3.27060257  -2.9378313
## 707  -3.1013884   5.7009017   4.089325276  -4.71632574  -3.27060257  -2.9378313
## 708  -3.1013884   5.7009017   4.089325276  -4.71632574  -3.27060257  -2.9378313
## 709  -3.1013884   5.7009017   4.089325276  -4.71632574  -3.27060257  -2.9378313
## 710  -3.1013884   5.7009017   4.089325276  -4.71632574  -3.27060257  -2.9378313
## 711  -3.1013884   5.7009017   4.089325276  -4.71632574  -3.27060257  -2.9378313
## 712  -3.1013884   5.7009017   4.089325276  -4.71632574  -3.27060257  -2.9378313
## 713  -1.7513763   4.6945058  -0.005366288   0.45656899  -1.17572127  -4.9570914
## 714  -1.7513763   4.6945058  -0.005366288   0.45656899  -1.17572127  -4.9570914
## 715  -1.7513763   4.6945058  -0.005366288   0.45656899  -1.17572127  -4.9570914
## 716  -1.7513763   4.6945058  -0.005366288   0.45656899  -1.17572127  -4.9570914
## 717  -1.7513763   4.6945058  -0.005366288   0.45656899  -1.17572127  -4.9570914
## 718  -1.7513763   4.6945058  -0.005366288   0.45656899  -1.17572127  -4.9570914
## 719  -1.7513763   4.6945058  -0.005366288   0.45656899  -1.17572127  -4.9570914
## 720  -1.7513763   4.6945058  -0.005366288   0.45656899  -1.17572127  -4.9570914
## 721   3.2867341   3.6309358   2.244643153  -4.55718337   2.34797692  -3.3807399
## 722   3.2867341   3.6309358   2.244643153  -4.55718337   2.34797692  -3.3807399
## 723   3.2867341   3.6309358   2.244643153  -4.55718337   2.34797692  -3.3807399
## 724   3.2867341   3.6309358   2.244643153  -4.55718337   2.34797692  -3.3807399
## 725   3.2867341   3.6309358   2.244643153  -4.55718337   2.34797692  -3.3807399
## 726   3.2867341   3.6309358   2.244643153  -4.55718337   2.34797692  -3.3807399
## 727   3.2867341   3.6309358   2.244643153  -4.55718337   2.34797692  -3.3807399
## 728   3.2867341   3.6309358   2.244643153  -4.55718337   2.34797692  -3.3807399
## 729  15.1288522  40.0354047  31.814965988 -31.40943322  45.01852618  88.0161488
## 730  15.1288522  40.0354047  31.814965988 -31.40943322  45.01852618  88.0161488
## 731  15.1288522  40.0354047  31.814965988 -31.40943322  45.01852618  88.0161488
## 732  15.1288522  40.0354047  31.814965988 -31.40943322  45.01852618  88.0161488
## 733  15.1288522  40.0354047  31.814965988 -31.40943322  45.01852618  88.0161488
## 734  15.1288522  40.0354047  31.814965988 -31.40943322  45.01852618  88.0161488
## 735  15.1288522  40.0354047  31.814965988 -31.40943322  45.01852618  88.0161488
## 736  15.1288522  40.0354047  31.814965988 -31.40943322  45.01852618  88.0161488
## 737   2.7731089   6.7730799   7.320523970  -3.97569690  -3.10312249  -8.7689226
## 738   2.7731089   6.7730799   7.320523970  -3.97569690  -3.10312249  -8.7689226
## 739   2.7731089   6.7730799   7.320523970  -3.97569690  -3.10312249  -8.7689226
## 740   2.7731089   6.7730799   7.320523970  -3.97569690  -3.10312249  -8.7689226
## 741   2.7731089   6.7730799   7.320523970  -3.97569690  -3.10312249  -8.7689226
## 742   2.7731089   6.7730799   7.320523970  -3.97569690  -3.10312249  -8.7689226
## 743   2.7731089   6.7730799   7.320523970  -3.97569690  -3.10312249  -8.7689226
## 744   2.7731089   6.7730799   7.320523970  -3.97569690  -3.10312249  -8.7689226
## 745   6.5270584   1.6718763   2.833225501  -6.46009742  -4.58182201  -4.4737969
## 746   6.5270584   1.6718763   2.833225501  -6.46009742  -4.58182201  -4.4737969
## 747   6.5270584   1.6718763   2.833225501  -6.46009742  -4.58182201  -4.4737969
## 748   6.5270584   1.6718763   2.833225501  -6.46009742  -4.58182201  -4.4737969
## 749   6.5270584   1.6718763   2.833225501  -6.46009742  -4.58182201  -4.4737969
## 750   6.5270584   1.6718763   2.833225501  -6.46009742  -4.58182201  -4.4737969
## 751   6.5270584   1.6718763   2.833225501  -6.46009742  -4.58182201  -4.4737969
## 752   6.5270584   1.6718763   2.833225501  -6.46009742  -4.58182201  -4.4737969
## 753   7.2061410   8.0844587   7.598767107  -3.93215655  -3.83382015  -3.0917081
## 754   7.2061410   8.0844587   7.598767107  -3.93215655  -3.83382015  -3.0917081
## 755   7.2061410   8.0844587   7.598767107  -3.93215655  -3.83382015  -3.0917081
## 756   7.2061410   8.0844587   7.598767107  -3.93215655  -3.83382015  -3.0917081
## 757   7.2061410   8.0844587   7.598767107  -3.93215655  -3.83382015  -3.0917081
## 758   7.2061410   8.0844587   7.598767107  -3.93215655  -3.83382015  -3.0917081
## 759   7.2061410   8.0844587   7.598767107  -3.93215655  -3.83382015  -3.0917081
## 760   7.2061410   8.0844587   7.598767107  -3.93215655  -3.83382015  -3.0917081
## 761  -0.5253520   4.7275025   0.162597824   0.56941065   2.60008790  -3.0996245
## 762  -0.5253520   4.7275025   0.162597824   0.56941065   2.60008790  -3.0996245
## 763  -0.5253520   4.7275025   0.162597824   0.56941065   2.60008790  -3.0996245
## 764  -0.5253520   4.7275025   0.162597824   0.56941065   2.60008790  -3.0996245
## 765  -0.5253520   4.7275025   0.162597824   0.56941065   2.60008790  -3.0996245
## 766  -0.5253520   4.7275025   0.162597824   0.56941065   2.60008790  -3.0996245
## 767  -0.5253520   4.7275025   0.162597824   0.56941065   2.60008790  -3.0996245
## 768  -0.5253520   4.7275025   0.162597824   0.56941065   2.60008790  -3.0996245
## 769   0.4411604  -1.1575943   4.219311596   0.74883721  -1.05709005  -6.2399756
## 770   0.4411604  -1.1575943   4.219311596   0.74883721  -1.05709005  -6.2399756
## 771   0.4411604  -1.1575943   4.219311596   0.74883721  -1.05709005  -6.2399756
## 772   0.4411604  -1.1575943   4.219311596   0.74883721  -1.05709005  -6.2399756
## 773   0.4411604  -1.1575943   4.219311596   0.74883721  -1.05709005  -6.2399756
## 774   0.4411604  -1.1575943   4.219311596   0.74883721  -1.05709005  -6.2399756
## 775   0.4411604  -1.1575943   4.219311596   0.74883721  -1.05709005  -6.2399756
## 776   0.4411604  -1.1575943   4.219311596   0.74883721  -1.05709005  -6.2399756
## 777  -0.4110749   8.9265643   4.839499330 -12.32706646   0.42461165  -3.5641926
## 778  -0.4110749   8.9265643   4.839499330 -12.32706646   0.42461165  -3.5641926
## 779  -0.4110749   8.9265643   4.839499330 -12.32706646   0.42461165  -3.5641926
## 780  -0.4110749   8.9265643   4.839499330 -12.32706646   0.42461165  -3.5641926
## 781  -0.4110749   8.9265643   4.839499330 -12.32706646   0.42461165  -3.5641926
## 782  -0.4110749   8.9265643   4.839499330 -12.32706646   0.42461165  -3.5641926
## 783  -0.4110749   8.9265643   4.839499330 -12.32706646   0.42461165  -3.5641926
## 784  -0.4110749   8.9265643   4.839499330 -12.32706646   0.42461165  -3.5641926
## 785  -4.6877522  97.8659352 -69.366320341  32.67969652  35.53356036  -5.0897652
## 786  -4.6877522  97.8659352 -69.366320341  32.67969652  35.53356036  -5.0897652
## 787  -4.6877522  97.8659352 -69.366320341  32.67969652  35.53356036  -5.0897652
## 788  -4.6877522  97.8659352 -69.366320341  32.67969652  35.53356036  -5.0897652
## 789  -4.6877522  97.8659352 -69.366320341  32.67969652  35.53356036  -5.0897652
## 790  -4.6877522  97.8659352 -69.366320341  32.67969652  35.53356036  -5.0897652
## 791  -4.6877522  97.8659352 -69.366320341  32.67969652  35.53356036  -5.0897652
## 792  -4.6877522  97.8659352 -69.366320341  32.67969652  35.53356036  -5.0897652
## 793   7.8203714   2.4069927  -2.689287179  -2.33440422  -0.69417875  -2.5841980
## 794   7.8203714   2.4069927  -2.689287179  -2.33440422  -0.69417875  -2.5841980
## 795   7.8203714   2.4069927  -2.689287179  -2.33440422  -0.69417875  -2.5841980
## 796   7.8203714   2.4069927  -2.689287179  -2.33440422  -0.69417875  -2.5841980
## 797   7.8203714   2.4069927  -2.689287179  -2.33440422  -0.69417875  -2.5841980
## 798   7.8203714   2.4069927  -2.689287179  -2.33440422  -0.69417875  -2.5841980
## 799   7.8203714   2.4069927  -2.689287179  -2.33440422  -0.69417875  -2.5841980
##       PC10_score   PC11_score   PC12_score  PC13_score  PC14_score
## 1     0.25607555   1.99359108  -6.79021640   2.9336388   3.0682764
## 2     0.25607555   1.99359108  -6.79021640   2.9336388   3.0682764
## 3     0.25607555   1.99359108  -6.79021640   2.9336388   3.0682764
## 4     0.25607555   1.99359108  -6.79021640   2.9336388   3.0682764
## 5     0.25607555   1.99359108  -6.79021640   2.9336388   3.0682764
## 6     0.25607555   1.99359108  -6.79021640   2.9336388   3.0682764
## 7     0.25607555   1.99359108  -6.79021640   2.9336388   3.0682764
## 8     0.25607555   1.99359108  -6.79021640   2.9336388   3.0682764
## 9     0.62232470   1.81574300  -4.06082517   5.3816304   0.5108574
## 10    0.62232470   1.81574300  -4.06082517   5.3816304   0.5108574
## 11    0.62232470   1.81574300  -4.06082517   5.3816304   0.5108574
## 12    0.62232470   1.81574300  -4.06082517   5.3816304   0.5108574
## 13    0.62232470   1.81574300  -4.06082517   5.3816304   0.5108574
## 14    0.62232470   1.81574300  -4.06082517   5.3816304   0.5108574
## 15    0.62232470   1.81574300  -4.06082517   5.3816304   0.5108574
## 16    0.62232470   1.81574300  -4.06082517   5.3816304   0.5108574
## 17   -1.01721774   5.53509129 -15.36669117   1.9043513 -10.3843723
## 18   -1.01721774   5.53509129 -15.36669117   1.9043513 -10.3843723
## 19   -1.01721774   5.53509129 -15.36669117   1.9043513 -10.3843723
## 20   -1.01721774   5.53509129 -15.36669117   1.9043513 -10.3843723
## 21   -1.01721774   5.53509129 -15.36669117   1.9043513 -10.3843723
## 22   -1.01721774   5.53509129 -15.36669117   1.9043513 -10.3843723
## 23   -1.01721774   5.53509129 -15.36669117   1.9043513 -10.3843723
## 24   -1.01721774   5.53509129 -15.36669117   1.9043513 -10.3843723
## 25    4.69592175  -3.63793793  -1.10109540   3.4017666  -3.4959815
## 26    4.69592175  -3.63793793  -1.10109540   3.4017666  -3.4959815
## 27    4.69592175  -3.63793793  -1.10109540   3.4017666  -3.4959815
## 28    4.69592175  -3.63793793  -1.10109540   3.4017666  -3.4959815
## 29    4.69592175  -3.63793793  -1.10109540   3.4017666  -3.4959815
## 30    4.69592175  -3.63793793  -1.10109540   3.4017666  -3.4959815
## 31    4.69592175  -3.63793793  -1.10109540   3.4017666  -3.4959815
## 32    4.69592175  -3.63793793  -1.10109540   3.4017666  -3.4959815
## 33    1.17398564   2.24522934 -10.20561860   4.5613965  -3.5976003
## 34    1.17398564   2.24522934 -10.20561860   4.5613965  -3.5976003
## 35    1.17398564   2.24522934 -10.20561860   4.5613965  -3.5976003
## 36    1.17398564   2.24522934 -10.20561860   4.5613965  -3.5976003
## 37    1.17398564   2.24522934 -10.20561860   4.5613965  -3.5976003
## 38    1.17398564   2.24522934 -10.20561860   4.5613965  -3.5976003
## 39    1.17398564   2.24522934 -10.20561860   4.5613965  -3.5976003
## 40    1.17398564   2.24522934 -10.20561860   4.5613965  -3.5976003
## 41   -3.32527253   5.45834331  -3.23695277  -2.0254639  -2.6004752
## 42   -3.32527253   5.45834331  -3.23695277  -2.0254639  -2.6004752
## 43   -3.32527253   5.45834331  -3.23695277  -2.0254639  -2.6004752
## 44   -3.32527253   5.45834331  -3.23695277  -2.0254639  -2.6004752
## 45   -3.32527253   5.45834331  -3.23695277  -2.0254639  -2.6004752
## 46   -3.32527253   5.45834331  -3.23695277  -2.0254639  -2.6004752
## 47   -3.32527253   5.45834331  -3.23695277  -2.0254639  -2.6004752
## 48   -3.32527253   5.45834331  -3.23695277  -2.0254639  -2.6004752
## 49   18.46584278  28.46090461 -28.80219131 -14.9646132 -35.8307222
## 50   18.46584278  28.46090461 -28.80219131 -14.9646132 -35.8307222
## 51   18.46584278  28.46090461 -28.80219131 -14.9646132 -35.8307222
## 52   18.46584278  28.46090461 -28.80219131 -14.9646132 -35.8307222
## 53   18.46584278  28.46090461 -28.80219131 -14.9646132 -35.8307222
## 54   18.46584278  28.46090461 -28.80219131 -14.9646132 -35.8307222
## 55   18.46584278  28.46090461 -28.80219131 -14.9646132 -35.8307222
## 56   18.46584278  28.46090461 -28.80219131 -14.9646132 -35.8307222
## 57   -0.21408814   4.98043238  -0.62284897   0.7184559   4.5676847
## 58   -0.21408814   4.98043238  -0.62284897   0.7184559   4.5676847
## 59   -0.21408814   4.98043238  -0.62284897   0.7184559   4.5676847
## 60   -0.21408814   4.98043238  -0.62284897   0.7184559   4.5676847
## 61   -0.21408814   4.98043238  -0.62284897   0.7184559   4.5676847
## 62   -0.21408814   4.98043238  -0.62284897   0.7184559   4.5676847
## 63   -0.21408814   4.98043238  -0.62284897   0.7184559   4.5676847
## 64   -0.21408814   4.98043238  -0.62284897   0.7184559   4.5676847
## 65   -0.09007615   4.11468363  -6.81126071   9.2187052  -5.2076366
## 66   -0.09007615   4.11468363  -6.81126071   9.2187052  -5.2076366
## 67   -0.09007615   4.11468363  -6.81126071   9.2187052  -5.2076366
## 68   -0.09007615   4.11468363  -6.81126071   9.2187052  -5.2076366
## 69   -0.09007615   4.11468363  -6.81126071   9.2187052  -5.2076366
## 70   -0.09007615   4.11468363  -6.81126071   9.2187052  -5.2076366
## 71   -0.09007615   4.11468363  -6.81126071   9.2187052  -5.2076366
## 72   -0.09007615   4.11468363  -6.81126071   9.2187052  -5.2076366
## 73    3.88027716  10.67101001  -5.17750832  -1.1154075  -7.0863522
## 74    3.88027716  10.67101001  -5.17750832  -1.1154075  -7.0863522
## 75    3.88027716  10.67101001  -5.17750832  -1.1154075  -7.0863522
## 76    3.88027716  10.67101001  -5.17750832  -1.1154075  -7.0863522
## 77    3.88027716  10.67101001  -5.17750832  -1.1154075  -7.0863522
## 78    3.88027716  10.67101001  -5.17750832  -1.1154075  -7.0863522
## 79    3.88027716  10.67101001  -5.17750832  -1.1154075  -7.0863522
## 80    3.88027716  10.67101001  -5.17750832  -1.1154075  -7.0863522
## 81   -1.15801207   1.30297691   0.63205931   1.2018440   2.0553760
## 82   -1.15801207   1.30297691   0.63205931   1.2018440   2.0553760
## 83   -1.15801207   1.30297691   0.63205931   1.2018440   2.0553760
## 84   -1.15801207   1.30297691   0.63205931   1.2018440   2.0553760
## 85   -1.15801207   1.30297691   0.63205931   1.2018440   2.0553760
## 86   -1.15801207   1.30297691   0.63205931   1.2018440   2.0553760
## 87   -1.15801207   1.30297691   0.63205931   1.2018440   2.0553760
## 88   -1.15801207   1.30297691   0.63205931   1.2018440   2.0553760
## 89   -1.88177136   6.50862475 -10.48843857  -0.7453912  -6.6132322
## 90   -1.88177136   6.50862475 -10.48843857  -0.7453912  -6.6132322
## 91   -1.88177136   6.50862475 -10.48843857  -0.7453912  -6.6132322
## 92   -1.88177136   6.50862475 -10.48843857  -0.7453912  -6.6132322
## 93   -1.88177136   6.50862475 -10.48843857  -0.7453912  -6.6132322
## 94   -1.88177136   6.50862475 -10.48843857  -0.7453912  -6.6132322
## 95   -1.88177136   6.50862475 -10.48843857  -0.7453912  -6.6132322
## 96   -1.88177136   6.50862475 -10.48843857  -0.7453912  -6.6132322
## 97    1.30182036   2.96082218   3.39338829  -5.0151281   0.5709071
## 98    1.30182036   2.96082218   3.39338829  -5.0151281   0.5709071
## 99    1.30182036   2.96082218   3.39338829  -5.0151281   0.5709071
## 100   1.30182036   2.96082218   3.39338829  -5.0151281   0.5709071
## 101   1.30182036   2.96082218   3.39338829  -5.0151281   0.5709071
## 102   1.30182036   2.96082218   3.39338829  -5.0151281   0.5709071
## 103   1.30182036   2.96082218   3.39338829  -5.0151281   0.5709071
## 104   1.30182036   2.96082218   3.39338829  -5.0151281   0.5709071
## 105  -1.64831047   2.50449318  -3.64428729   0.2585125   1.2805164
## 106  -1.64831047   2.50449318  -3.64428729   0.2585125   1.2805164
## 107  -1.64831047   2.50449318  -3.64428729   0.2585125   1.2805164
## 108  -1.64831047   2.50449318  -3.64428729   0.2585125   1.2805164
## 109  -1.64831047   2.50449318  -3.64428729   0.2585125   1.2805164
## 110  -1.64831047   2.50449318  -3.64428729   0.2585125   1.2805164
## 111  -1.64831047   2.50449318  -3.64428729   0.2585125   1.2805164
## 112  -1.64831047   2.50449318  -3.64428729   0.2585125   1.2805164
## 113  20.12916763 -39.53318119 -18.41009389  56.6859638   0.7214889
## 114  20.12916763 -39.53318119 -18.41009389  56.6859638   0.7214889
## 115  20.12916763 -39.53318119 -18.41009389  56.6859638   0.7214889
## 116  20.12916763 -39.53318119 -18.41009389  56.6859638   0.7214889
## 117  20.12916763 -39.53318119 -18.41009389  56.6859638   0.7214889
## 118  20.12916763 -39.53318119 -18.41009389  56.6859638   0.7214889
## 119  20.12916763 -39.53318119 -18.41009389  56.6859638   0.7214889
## 120  20.12916763 -39.53318119 -18.41009389  56.6859638   0.7214889
## 121   3.21745723  -2.13602506   0.38585035   1.0290599  -4.8065773
## 122   3.21745723  -2.13602506   0.38585035   1.0290599  -4.8065773
## 123   3.21745723  -2.13602506   0.38585035   1.0290599  -4.8065773
## 124   3.21745723  -2.13602506   0.38585035   1.0290599  -4.8065773
## 125   3.21745723  -2.13602506   0.38585035   1.0290599  -4.8065773
## 126   3.21745723  -2.13602506   0.38585035   1.0290599  -4.8065773
## 127   3.21745723  -2.13602506   0.38585035   1.0290599  -4.8065773
## 128   3.21745723  -2.13602506   0.38585035   1.0290599  -4.8065773
## 129   4.00999068   4.56578414  -7.06970288   3.2025530  -0.6856724
## 130   4.00999068   4.56578414  -7.06970288   3.2025530  -0.6856724
## 131   4.00999068   4.56578414  -7.06970288   3.2025530  -0.6856724
## 132   4.00999068   4.56578414  -7.06970288   3.2025530  -0.6856724
## 133   4.00999068   4.56578414  -7.06970288   3.2025530  -0.6856724
## 134   4.00999068   4.56578414  -7.06970288   3.2025530  -0.6856724
## 135   4.00999068   4.56578414  -7.06970288   3.2025530  -0.6856724
## 136   4.00999068   4.56578414  -7.06970288   3.2025530  -0.6856724
## 137  29.39858710  10.56255056  -4.02044802  -5.8658324 -24.0401294
## 138  29.39858710  10.56255056  -4.02044802  -5.8658324 -24.0401294
## 139  29.39858710  10.56255056  -4.02044802  -5.8658324 -24.0401294
## 140  29.39858710  10.56255056  -4.02044802  -5.8658324 -24.0401294
## 141  29.39858710  10.56255056  -4.02044802  -5.8658324 -24.0401294
## 142  29.39858710  10.56255056  -4.02044802  -5.8658324 -24.0401294
## 143  29.39858710  10.56255056  -4.02044802  -5.8658324 -24.0401294
## 144  29.39858710  10.56255056  -4.02044802  -5.8658324 -24.0401294
## 145   4.48722195  13.75870302  -9.76756713   0.9644440  -1.4856773
## 146   4.48722195  13.75870302  -9.76756713   0.9644440  -1.4856773
## 147   4.48722195  13.75870302  -9.76756713   0.9644440  -1.4856773
## 148   4.48722195  13.75870302  -9.76756713   0.9644440  -1.4856773
## 149   4.48722195  13.75870302  -9.76756713   0.9644440  -1.4856773
## 150   4.48722195  13.75870302  -9.76756713   0.9644440  -1.4856773
## 151   4.48722195  13.75870302  -9.76756713   0.9644440  -1.4856773
## 152   4.48722195  13.75870302  -9.76756713   0.9644440  -1.4856773
## 153 -23.40031373 -51.89107956 -23.03271808  23.3806869  26.1655956
## 154 -23.40031373 -51.89107956 -23.03271808  23.3806869  26.1655956
## 155 -23.40031373 -51.89107956 -23.03271808  23.3806869  26.1655956
## 156 -23.40031373 -51.89107956 -23.03271808  23.3806869  26.1655956
## 157 -23.40031373 -51.89107956 -23.03271808  23.3806869  26.1655956
## 158 -23.40031373 -51.89107956 -23.03271808  23.3806869  26.1655956
## 159 -23.40031373 -51.89107956 -23.03271808  23.3806869  26.1655956
## 160 -23.40031373 -51.89107956 -23.03271808  23.3806869  26.1655956
## 161  -6.10683736   1.15465137  -1.18443342  -1.2059756  -2.3635903
## 162  -6.10683736   1.15465137  -1.18443342  -1.2059756  -2.3635903
## 163  -6.10683736   1.15465137  -1.18443342  -1.2059756  -2.3635903
## 164  -6.10683736   1.15465137  -1.18443342  -1.2059756  -2.3635903
## 165  -6.10683736   1.15465137  -1.18443342  -1.2059756  -2.3635903
## 166  -6.10683736   1.15465137  -1.18443342  -1.2059756  -2.3635903
## 167  -6.10683736   1.15465137  -1.18443342  -1.2059756  -2.3635903
## 168  -6.10683736   1.15465137  -1.18443342  -1.2059756  -2.3635903
## 169   0.48576317   4.47292952  -1.96302221   3.3161544  -0.2324671
## 170   0.48576317   4.47292952  -1.96302221   3.3161544  -0.2324671
## 171   0.48576317   4.47292952  -1.96302221   3.3161544  -0.2324671
## 172   0.48576317   4.47292952  -1.96302221   3.3161544  -0.2324671
## 173   0.48576317   4.47292952  -1.96302221   3.3161544  -0.2324671
## 174   0.48576317   4.47292952  -1.96302221   3.3161544  -0.2324671
## 175   0.48576317   4.47292952  -1.96302221   3.3161544  -0.2324671
## 176   0.48576317   4.47292952  -1.96302221   3.3161544  -0.2324671
## 177  -3.22328428   0.03096925   4.98484238   2.8134686   3.0623233
## 178  -3.22328428   0.03096925   4.98484238   2.8134686   3.0623233
## 179  -3.22328428   0.03096925   4.98484238   2.8134686   3.0623233
## 180  -3.22328428   0.03096925   4.98484238   2.8134686   3.0623233
## 181  -3.22328428   0.03096925   4.98484238   2.8134686   3.0623233
## 182  -3.22328428   0.03096925   4.98484238   2.8134686   3.0623233
## 183  -3.22328428   0.03096925   4.98484238   2.8134686   3.0623233
## 184  -3.22328428   0.03096925   4.98484238   2.8134686   3.0623233
## 185  68.28910294   6.19007003  59.49770542  21.0126385  17.6320774
## 186  68.28910294   6.19007003  59.49770542  21.0126385  17.6320774
## 187  68.28910294   6.19007003  59.49770542  21.0126385  17.6320774
## 188  68.28910294   6.19007003  59.49770542  21.0126385  17.6320774
## 189  68.28910294   6.19007003  59.49770542  21.0126385  17.6320774
## 190  68.28910294   6.19007003  59.49770542  21.0126385  17.6320774
## 191  68.28910294   6.19007003  59.49770542  21.0126385  17.6320774
## 192  68.28910294   6.19007003  59.49770542  21.0126385  17.6320774
## 193   3.88612989   7.05670927   4.46728632  -5.8608284  -0.4885114
## 194   3.88612989   7.05670927   4.46728632  -5.8608284  -0.4885114
## 195   3.88612989   7.05670927   4.46728632  -5.8608284  -0.4885114
## 196   3.88612989   7.05670927   4.46728632  -5.8608284  -0.4885114
## 197   3.88612989   7.05670927   4.46728632  -5.8608284  -0.4885114
## 198   3.88612989   7.05670927   4.46728632  -5.8608284  -0.4885114
## 199   3.88612989   7.05670927   4.46728632  -5.8608284  -0.4885114
## 200   3.88612989   7.05670927   4.46728632  -5.8608284  -0.4885114
## 201   1.67184059  18.60790754 -12.89336338  -4.1305253 -17.4174450
## 202   1.67184059  18.60790754 -12.89336338  -4.1305253 -17.4174450
## 203   1.67184059  18.60790754 -12.89336338  -4.1305253 -17.4174450
## 204   1.67184059  18.60790754 -12.89336338  -4.1305253 -17.4174450
## 205   1.67184059  18.60790754 -12.89336338  -4.1305253 -17.4174450
## 206   1.67184059  18.60790754 -12.89336338  -4.1305253 -17.4174450
## 207   1.67184059  18.60790754 -12.89336338  -4.1305253 -17.4174450
## 208   1.67184059  18.60790754 -12.89336338  -4.1305253 -17.4174450
## 209 -21.08050484  -4.49355477   3.11316717 -46.1349745 -31.7695227
## 210 -21.08050484  -4.49355477   3.11316717 -46.1349745 -31.7695227
## 211 -21.08050484  -4.49355477   3.11316717 -46.1349745 -31.7695227
## 212 -21.08050484  -4.49355477   3.11316717 -46.1349745 -31.7695227
## 213 -21.08050484  -4.49355477   3.11316717 -46.1349745 -31.7695227
## 214 -21.08050484  -4.49355477   3.11316717 -46.1349745 -31.7695227
## 215 -21.08050484  -4.49355477   3.11316717 -46.1349745 -31.7695227
## 216 -21.08050484  -4.49355477   3.11316717 -46.1349745 -31.7695227
## 217  -0.27480658  -1.03735837  -8.88906743  -1.8237798   6.7775470
## 218  -0.27480658  -1.03735837  -8.88906743  -1.8237798   6.7775470
## 219  -0.27480658  -1.03735837  -8.88906743  -1.8237798   6.7775470
## 220  -0.27480658  -1.03735837  -8.88906743  -1.8237798   6.7775470
## 221  -0.27480658  -1.03735837  -8.88906743  -1.8237798   6.7775470
## 222  -0.27480658  -1.03735837  -8.88906743  -1.8237798   6.7775470
## 223  -0.27480658  -1.03735837  -8.88906743  -1.8237798   6.7775470
## 224  -0.27480658  -1.03735837  -8.88906743  -1.8237798   6.7775470
## 225   0.74902753   1.39118340  -3.04128483   2.8042877  -0.8146427
## 226   0.74902753   1.39118340  -3.04128483   2.8042877  -0.8146427
## 227   0.74902753   1.39118340  -3.04128483   2.8042877  -0.8146427
## 228   0.74902753   1.39118340  -3.04128483   2.8042877  -0.8146427
## 229   0.74902753   1.39118340  -3.04128483   2.8042877  -0.8146427
## 230   0.74902753   1.39118340  -3.04128483   2.8042877  -0.8146427
## 231   0.74902753   1.39118340  -3.04128483   2.8042877  -0.8146427
## 232   0.74902753   1.39118340  -3.04128483   2.8042877  -0.8146427
## 233   6.83606016  14.16345570  -7.35645981   5.3941415  17.7535756
## 234   6.83606016  14.16345570  -7.35645981   5.3941415  17.7535756
## 235   6.83606016  14.16345570  -7.35645981   5.3941415  17.7535756
## 236   6.83606016  14.16345570  -7.35645981   5.3941415  17.7535756
## 237   6.83606016  14.16345570  -7.35645981   5.3941415  17.7535756
## 238   6.83606016  14.16345570  -7.35645981   5.3941415  17.7535756
## 239   6.83606016  14.16345570  -7.35645981   5.3941415  17.7535756
## 240   6.83606016  14.16345570  -7.35645981   5.3941415  17.7535756
## 241   0.47170767  10.37646832  -3.31481371   2.1227933  -0.9557318
## 242   0.47170767  10.37646832  -3.31481371   2.1227933  -0.9557318
## 243   0.47170767  10.37646832  -3.31481371   2.1227933  -0.9557318
## 244   0.47170767  10.37646832  -3.31481371   2.1227933  -0.9557318
## 245   0.47170767  10.37646832  -3.31481371   2.1227933  -0.9557318
## 246   0.47170767  10.37646832  -3.31481371   2.1227933  -0.9557318
## 247   0.47170767  10.37646832  -3.31481371   2.1227933  -0.9557318
## 248   0.47170767  10.37646832  -3.31481371   2.1227933  -0.9557318
## 249   1.53324048   4.85260405  -7.62915496   5.0282463   4.5414801
## 250   1.53324048   4.85260405  -7.62915496   5.0282463   4.5414801
## 251   1.53324048   4.85260405  -7.62915496   5.0282463   4.5414801
## 252   1.53324048   4.85260405  -7.62915496   5.0282463   4.5414801
## 253   1.53324048   4.85260405  -7.62915496   5.0282463   4.5414801
## 254   1.53324048   4.85260405  -7.62915496   5.0282463   4.5414801
## 255   1.53324048   4.85260405  -7.62915496   5.0282463   4.5414801
## 256   1.53324048   4.85260405  -7.62915496   5.0282463   4.5414801
## 257  -0.12417711   3.47631104  -0.56578272   3.7743963   1.6153250
## 258  -0.12417711   3.47631104  -0.56578272   3.7743963   1.6153250
## 259  -0.12417711   3.47631104  -0.56578272   3.7743963   1.6153250
## 260  -0.12417711   3.47631104  -0.56578272   3.7743963   1.6153250
## 261  -0.12417711   3.47631104  -0.56578272   3.7743963   1.6153250
## 262  -0.12417711   3.47631104  -0.56578272   3.7743963   1.6153250
## 263  -0.12417711   3.47631104  -0.56578272   3.7743963   1.6153250
## 264  -0.12417711   3.47631104  -0.56578272   3.7743963   1.6153250
## 265   3.10176983   4.71704864  -0.76675546  -0.3230053  10.2545536
## 266   3.10176983   4.71704864  -0.76675546  -0.3230053  10.2545536
## 267   3.10176983   4.71704864  -0.76675546  -0.3230053  10.2545536
## 268   3.10176983   4.71704864  -0.76675546  -0.3230053  10.2545536
## 269   3.10176983   4.71704864  -0.76675546  -0.3230053  10.2545536
## 270   3.10176983   4.71704864  -0.76675546  -0.3230053  10.2545536
## 271   3.10176983   4.71704864  -0.76675546  -0.3230053  10.2545536
## 272   3.10176983   4.71704864  -0.76675546  -0.3230053  10.2545536
## 273  -3.23195124   3.40276703  -2.33856668   9.9590852   0.7646596
## 274  -3.23195124   3.40276703  -2.33856668   9.9590852   0.7646596
## 275  -3.23195124   3.40276703  -2.33856668   9.9590852   0.7646596
## 276  -3.23195124   3.40276703  -2.33856668   9.9590852   0.7646596
## 277  -3.23195124   3.40276703  -2.33856668   9.9590852   0.7646596
## 278  -3.23195124   3.40276703  -2.33856668   9.9590852   0.7646596
## 279  -3.23195124   3.40276703  -2.33856668   9.9590852   0.7646596
## 280  -3.23195124   3.40276703  -2.33856668   9.9590852   0.7646596
## 281  -5.01835053   9.11063612  -3.84954114  -5.6572278  -3.4403619
## 282  -5.01835053   9.11063612  -3.84954114  -5.6572278  -3.4403619
## 283  -5.01835053   9.11063612  -3.84954114  -5.6572278  -3.4403619
## 284  -5.01835053   9.11063612  -3.84954114  -5.6572278  -3.4403619
## 285  -5.01835053   9.11063612  -3.84954114  -5.6572278  -3.4403619
## 286  -5.01835053   9.11063612  -3.84954114  -5.6572278  -3.4403619
## 287  -5.01835053   9.11063612  -3.84954114  -5.6572278  -3.4403619
## 288  -5.01835053   9.11063612  -3.84954114  -5.6572278  -3.4403619
## 289  -2.35525536  -5.30759535   9.98135264  -0.4208883   4.7938185
## 290  -2.35525536  -5.30759535   9.98135264  -0.4208883   4.7938185
## 291  -2.35525536  -5.30759535   9.98135264  -0.4208883   4.7938185
## 292  -2.35525536  -5.30759535   9.98135264  -0.4208883   4.7938185
## 293  -2.35525536  -5.30759535   9.98135264  -0.4208883   4.7938185
## 294  -2.35525536  -5.30759535   9.98135264  -0.4208883   4.7938185
## 295  -2.35525536  -5.30759535   9.98135264  -0.4208883   4.7938185
## 296  -2.35525536  -5.30759535   9.98135264  -0.4208883   4.7938185
## 297  -2.56723315   4.35949516   4.07999740   1.9744292  -1.5192169
## 298  -2.56723315   4.35949516   4.07999740   1.9744292  -1.5192169
## 299  -2.56723315   4.35949516   4.07999740   1.9744292  -1.5192169
## 300  -2.56723315   4.35949516   4.07999740   1.9744292  -1.5192169
## 301  -2.56723315   4.35949516   4.07999740   1.9744292  -1.5192169
## 302  -2.56723315   4.35949516   4.07999740   1.9744292  -1.5192169
## 303  -2.56723315   4.35949516   4.07999740   1.9744292  -1.5192169
## 304  -2.56723315   4.35949516   4.07999740   1.9744292  -1.5192169
## 305   0.48241746   1.44775403  -1.71029627   3.2218366  -3.7617869
## 306   0.48241746   1.44775403  -1.71029627   3.2218366  -3.7617869
## 307   0.48241746   1.44775403  -1.71029627   3.2218366  -3.7617869
## 308   0.48241746   1.44775403  -1.71029627   3.2218366  -3.7617869
## 309   0.48241746   1.44775403  -1.71029627   3.2218366  -3.7617869
## 310   0.48241746   1.44775403  -1.71029627   3.2218366  -3.7617869
## 311   0.48241746   1.44775403  -1.71029627   3.2218366  -3.7617869
## 312   0.48241746   1.44775403  -1.71029627   3.2218366  -3.7617869
## 313   1.22115518   8.09219627  -3.29024988  -3.1343077  -1.5632387
## 314   1.22115518   8.09219627  -3.29024988  -3.1343077  -1.5632387
## 315   1.22115518   8.09219627  -3.29024988  -3.1343077  -1.5632387
## 316   1.22115518   8.09219627  -3.29024988  -3.1343077  -1.5632387
## 317   1.22115518   8.09219627  -3.29024988  -3.1343077  -1.5632387
## 318   1.22115518   8.09219627  -3.29024988  -3.1343077  -1.5632387
## 319   1.22115518   8.09219627  -3.29024988  -3.1343077  -1.5632387
## 320   1.22115518   8.09219627  -3.29024988  -3.1343077  -1.5632387
## 321  -9.47843599  -0.13578741   6.69035572  -2.7301326  -0.1923550
## 322  -9.47843599  -0.13578741   6.69035572  -2.7301326  -0.1923550
## 323  -9.47843599  -0.13578741   6.69035572  -2.7301326  -0.1923550
## 324  -9.47843599  -0.13578741   6.69035572  -2.7301326  -0.1923550
## 325  -9.47843599  -0.13578741   6.69035572  -2.7301326  -0.1923550
## 326  -9.47843599  -0.13578741   6.69035572  -2.7301326  -0.1923550
## 327  -9.47843599  -0.13578741   6.69035572  -2.7301326  -0.1923550
## 328  -9.47843599  -0.13578741   6.69035572  -2.7301326  -0.1923550
## 329  -7.03323632   3.57134768   1.28519185  -0.7323753   3.8255830
## 330  -7.03323632   3.57134768   1.28519185  -0.7323753   3.8255830
## 331  -7.03323632   3.57134768   1.28519185  -0.7323753   3.8255830
## 332  -7.03323632   3.57134768   1.28519185  -0.7323753   3.8255830
## 333  -7.03323632   3.57134768   1.28519185  -0.7323753   3.8255830
## 334  -7.03323632   3.57134768   1.28519185  -0.7323753   3.8255830
## 335  -7.03323632   3.57134768   1.28519185  -0.7323753   3.8255830
## 336  -7.03323632   3.57134768   1.28519185  -0.7323753   3.8255830
## 337   6.00418623   9.64057726   1.79601735  -1.2715301  13.9744456
## 338   6.00418623   9.64057726   1.79601735  -1.2715301  13.9744456
## 339   6.00418623   9.64057726   1.79601735  -1.2715301  13.9744456
## 340   6.00418623   9.64057726   1.79601735  -1.2715301  13.9744456
## 341   6.00418623   9.64057726   1.79601735  -1.2715301  13.9744456
## 342   6.00418623   9.64057726   1.79601735  -1.2715301  13.9744456
## 343   6.00418623   9.64057726   1.79601735  -1.2715301  13.9744456
## 344   6.00418623   9.64057726   1.79601735  -1.2715301  13.9744456
## 345  -3.51367130   7.17852904  -8.86116459   8.5159673  -4.5948242
## 346  -3.51367130   7.17852904  -8.86116459   8.5159673  -4.5948242
## 347  -3.51367130   7.17852904  -8.86116459   8.5159673  -4.5948242
## 348  -3.51367130   7.17852904  -8.86116459   8.5159673  -4.5948242
## 349  -3.51367130   7.17852904  -8.86116459   8.5159673  -4.5948242
## 350  -3.51367130   7.17852904  -8.86116459   8.5159673  -4.5948242
## 351  -3.51367130   7.17852904  -8.86116459   8.5159673  -4.5948242
## 352  -3.51367130   7.17852904  -8.86116459   8.5159673  -4.5948242
## 353  -4.96112220   0.61228971  -0.09506452  -8.7992095   7.8730939
## 354  -4.96112220   0.61228971  -0.09506452  -8.7992095   7.8730939
## 355  -4.96112220   0.61228971  -0.09506452  -8.7992095   7.8730939
## 356  -4.96112220   0.61228971  -0.09506452  -8.7992095   7.8730939
## 357  -4.96112220   0.61228971  -0.09506452  -8.7992095   7.8730939
## 358  -4.96112220   0.61228971  -0.09506452  -8.7992095   7.8730939
## 359  -4.96112220   0.61228971  -0.09506452  -8.7992095   7.8730939
## 360  -4.96112220   0.61228971  -0.09506452  -8.7992095   7.8730939
## 361 -11.33338847  -3.20660887  25.59048360  15.2627978 -35.9681642
## 362 -11.33338847  -3.20660887  25.59048360  15.2627978 -35.9681642
## 363 -11.33338847  -3.20660887  25.59048360  15.2627978 -35.9681642
## 364 -11.33338847  -3.20660887  25.59048360  15.2627978 -35.9681642
## 365 -11.33338847  -3.20660887  25.59048360  15.2627978 -35.9681642
## 366 -11.33338847  -3.20660887  25.59048360  15.2627978 -35.9681642
## 367 -11.33338847  -3.20660887  25.59048360  15.2627978 -35.9681642
## 368 -11.33338847  -3.20660887  25.59048360  15.2627978 -35.9681642
## 369   2.08711064   3.68747977  -0.73469163   4.1510993   1.9111433
## 370   2.08711064   3.68747977  -0.73469163   4.1510993   1.9111433
## 371   2.08711064   3.68747977  -0.73469163   4.1510993   1.9111433
## 372   2.08711064   3.68747977  -0.73469163   4.1510993   1.9111433
## 373   2.08711064   3.68747977  -0.73469163   4.1510993   1.9111433
## 374   2.08711064   3.68747977  -0.73469163   4.1510993   1.9111433
## 375   2.08711064   3.68747977  -0.73469163   4.1510993   1.9111433
## 376   2.08711064   3.68747977  -0.73469163   4.1510993   1.9111433
## 377   0.83640822   1.47945254  -7.85255551  -7.8194288  -1.2509211
## 378   0.83640822   1.47945254  -7.85255551  -7.8194288  -1.2509211
## 379   0.83640822   1.47945254  -7.85255551  -7.8194288  -1.2509211
## 380   0.83640822   1.47945254  -7.85255551  -7.8194288  -1.2509211
## 381   0.83640822   1.47945254  -7.85255551  -7.8194288  -1.2509211
## 382   0.83640822   1.47945254  -7.85255551  -7.8194288  -1.2509211
## 383   0.83640822   1.47945254  -7.85255551  -7.8194288  -1.2509211
## 384   0.83640822   1.47945254  -7.85255551  -7.8194288  -1.2509211
## 385  -1.80335082  -1.86844921   2.66324504  -0.9287605  -1.5687631
## 386  -1.80335082  -1.86844921   2.66324504  -0.9287605  -1.5687631
## 387  -1.80335082  -1.86844921   2.66324504  -0.9287605  -1.5687631
## 388  -1.80335082  -1.86844921   2.66324504  -0.9287605  -1.5687631
## 389  -1.80335082  -1.86844921   2.66324504  -0.9287605  -1.5687631
## 390  -1.80335082  -1.86844921   2.66324504  -0.9287605  -1.5687631
## 391  -1.80335082  -1.86844921   2.66324504  -0.9287605  -1.5687631
## 392  -1.80335082  -1.86844921   2.66324504  -0.9287605  -1.5687631
## 393  -1.91515295   2.14242456  -1.26830344  -1.0768175   3.5708883
## 394  -1.91515295   2.14242456  -1.26830344  -1.0768175   3.5708883
## 395  -1.91515295   2.14242456  -1.26830344  -1.0768175   3.5708883
## 396  -1.91515295   2.14242456  -1.26830344  -1.0768175   3.5708883
## 397  -1.91515295   2.14242456  -1.26830344  -1.0768175   3.5708883
## 398  -1.91515295   2.14242456  -1.26830344  -1.0768175   3.5708883
## 399  -1.91515295   2.14242456  -1.26830344  -1.0768175   3.5708883
## 400  -1.91515295   2.14242456  -1.26830344  -1.0768175   3.5708883
## 401   0.97457848   7.80796455  -0.08707809   7.0457446  -4.3153672
## 402   0.97457848   7.80796455  -0.08707809   7.0457446  -4.3153672
## 403   0.97457848   7.80796455  -0.08707809   7.0457446  -4.3153672
## 404   0.97457848   7.80796455  -0.08707809   7.0457446  -4.3153672
## 405   0.97457848   7.80796455  -0.08707809   7.0457446  -4.3153672
## 406   0.97457848   7.80796455  -0.08707809   7.0457446  -4.3153672
## 407   0.97457848   7.80796455  -0.08707809   7.0457446  -4.3153672
## 408   0.97457848   7.80796455  -0.08707809   7.0457446  -4.3153672
## 409   1.13362144  13.96846553  -1.76618751  -2.8050185  -1.2737099
## 410   1.13362144  13.96846553  -1.76618751  -2.8050185  -1.2737099
## 411   1.13362144  13.96846553  -1.76618751  -2.8050185  -1.2737099
## 412   1.13362144  13.96846553  -1.76618751  -2.8050185  -1.2737099
## 413   1.13362144  13.96846553  -1.76618751  -2.8050185  -1.2737099
## 414   1.13362144  13.96846553  -1.76618751  -2.8050185  -1.2737099
## 415   1.13362144  13.96846553  -1.76618751  -2.8050185  -1.2737099
## 416   1.13362144  13.96846553  -1.76618751  -2.8050185  -1.2737099
## 417   1.65445240   3.44446579   1.49545134   0.7781333   1.8188344
## 418   1.65445240   3.44446579   1.49545134   0.7781333   1.8188344
## 419   1.65445240   3.44446579   1.49545134   0.7781333   1.8188344
## 420   1.65445240   3.44446579   1.49545134   0.7781333   1.8188344
## 421   1.65445240   3.44446579   1.49545134   0.7781333   1.8188344
## 422   1.65445240   3.44446579   1.49545134   0.7781333   1.8188344
## 423   1.65445240   3.44446579   1.49545134   0.7781333   1.8188344
## 424   1.65445240   3.44446579   1.49545134   0.7781333   1.8188344
## 425   1.59730180   8.44589915  -6.82612541   5.1802253   8.2968256
## 426   1.59730180   8.44589915  -6.82612541   5.1802253   8.2968256
## 427   1.59730180   8.44589915  -6.82612541   5.1802253   8.2968256
## 428   1.59730180   8.44589915  -6.82612541   5.1802253   8.2968256
## 429   1.59730180   8.44589915  -6.82612541   5.1802253   8.2968256
## 430   1.59730180   8.44589915  -6.82612541   5.1802253   8.2968256
## 431   1.59730180   8.44589915  -6.82612541   5.1802253   8.2968256
## 432   1.59730180   8.44589915  -6.82612541   5.1802253   8.2968256
## 433  -1.49064110  -1.79839122   6.35992798  -7.1906889   0.4949161
## 434  -1.49064110  -1.79839122   6.35992798  -7.1906889   0.4949161
## 435  -1.49064110  -1.79839122   6.35992798  -7.1906889   0.4949161
## 436  -1.49064110  -1.79839122   6.35992798  -7.1906889   0.4949161
## 437  -1.49064110  -1.79839122   6.35992798  -7.1906889   0.4949161
## 438  -1.49064110  -1.79839122   6.35992798  -7.1906889   0.4949161
## 439  -1.49064110  -1.79839122   6.35992798  -7.1906889   0.4949161
## 440  -1.49064110  -1.79839122   6.35992798  -7.1906889   0.4949161
## 441 -32.56852240 -60.62992745  24.44703196  17.5696067  87.1349826
## 442 -32.56852240 -60.62992745  24.44703196  17.5696067  87.1349826
## 443 -32.56852240 -60.62992745  24.44703196  17.5696067  87.1349826
## 444 -32.56852240 -60.62992745  24.44703196  17.5696067  87.1349826
## 445 -32.56852240 -60.62992745  24.44703196  17.5696067  87.1349826
## 446 -32.56852240 -60.62992745  24.44703196  17.5696067  87.1349826
## 447 -32.56852240 -60.62992745  24.44703196  17.5696067  87.1349826
## 448 -32.56852240 -60.62992745  24.44703196  17.5696067  87.1349826
## 449  -1.09807623   3.26250583  -0.66815554   4.1381621   1.3454347
## 450  -1.09807623   3.26250583  -0.66815554   4.1381621   1.3454347
## 451  -1.09807623   3.26250583  -0.66815554   4.1381621   1.3454347
## 452  -1.09807623   3.26250583  -0.66815554   4.1381621   1.3454347
## 453  -1.09807623   3.26250583  -0.66815554   4.1381621   1.3454347
## 454  -1.09807623   3.26250583  -0.66815554   4.1381621   1.3454347
## 455  -1.09807623   3.26250583  -0.66815554   4.1381621   1.3454347
## 456  -1.09807623   3.26250583  -0.66815554   4.1381621   1.3454347
## 457  -3.12670361  -7.61670157   1.50491453  -2.9841677  -8.4804046
## 458  -3.12670361  -7.61670157   1.50491453  -2.9841677  -8.4804046
## 459  -3.12670361  -7.61670157   1.50491453  -2.9841677  -8.4804046
## 460  -3.12670361  -7.61670157   1.50491453  -2.9841677  -8.4804046
## 461  -3.12670361  -7.61670157   1.50491453  -2.9841677  -8.4804046
## 462  -3.12670361  -7.61670157   1.50491453  -2.9841677  -8.4804046
## 463  -3.12670361  -7.61670157   1.50491453  -2.9841677  -8.4804046
## 464  -3.12670361  -7.61670157   1.50491453  -2.9841677  -8.4804046
## 465  -4.55102552  -3.11049116   0.52286971  -3.2906791   2.3496422
## 466  -4.55102552  -3.11049116   0.52286971  -3.2906791   2.3496422
## 467  -4.55102552  -3.11049116   0.52286971  -3.2906791   2.3496422
## 468  -4.55102552  -3.11049116   0.52286971  -3.2906791   2.3496422
## 469  -4.55102552  -3.11049116   0.52286971  -3.2906791   2.3496422
## 470  -4.55102552  -3.11049116   0.52286971  -3.2906791   2.3496422
## 471  -4.55102552  -3.11049116   0.52286971  -3.2906791   2.3496422
## 472  -4.55102552  -3.11049116   0.52286971  -3.2906791   2.3496422
## 473 -22.45487543  -5.28228624  24.48500302 -24.7967727  -8.1086252
## 474 -22.45487543  -5.28228624  24.48500302 -24.7967727  -8.1086252
## 475 -22.45487543  -5.28228624  24.48500302 -24.7967727  -8.1086252
## 476 -22.45487543  -5.28228624  24.48500302 -24.7967727  -8.1086252
## 477 -22.45487543  -5.28228624  24.48500302 -24.7967727  -8.1086252
## 478 -22.45487543  -5.28228624  24.48500302 -24.7967727  -8.1086252
## 479 -22.45487543  -5.28228624  24.48500302 -24.7967727  -8.1086252
## 480 -22.45487543  -5.28228624  24.48500302 -24.7967727  -8.1086252
## 481 -24.86961718 -39.48328584  88.98094045 -42.5935206 -27.9779916
## 482 -24.86961718 -39.48328584  88.98094045 -42.5935206 -27.9779916
## 483 -24.86961718 -39.48328584  88.98094045 -42.5935206 -27.9779916
## 484 -24.86961718 -39.48328584  88.98094045 -42.5935206 -27.9779916
## 485 -24.86961718 -39.48328584  88.98094045 -42.5935206 -27.9779916
## 486 -24.86961718 -39.48328584  88.98094045 -42.5935206 -27.9779916
## 487 -24.86961718 -39.48328584  88.98094045 -42.5935206 -27.9779916
## 488 -24.86961718 -39.48328584  88.98094045 -42.5935206 -27.9779916
## 489  10.96777015   3.30325212 -16.28733244 -29.8757999  27.1936876
## 490  10.96777015   3.30325212 -16.28733244 -29.8757999  27.1936876
## 491  10.96777015   3.30325212 -16.28733244 -29.8757999  27.1936876
## 492  10.96777015   3.30325212 -16.28733244 -29.8757999  27.1936876
## 493  10.96777015   3.30325212 -16.28733244 -29.8757999  27.1936876
## 494  10.96777015   3.30325212 -16.28733244 -29.8757999  27.1936876
## 495  10.96777015   3.30325212 -16.28733244 -29.8757999  27.1936876
## 496  10.96777015   3.30325212 -16.28733244 -29.8757999  27.1936876
## 497  -2.49427741  -1.03112338  -0.35707337   2.1856769   2.9203196
## 498  -2.49427741  -1.03112338  -0.35707337   2.1856769   2.9203196
## 499  -2.49427741  -1.03112338  -0.35707337   2.1856769   2.9203196
## 500  -2.49427741  -1.03112338  -0.35707337   2.1856769   2.9203196
## 501  -2.49427741  -1.03112338  -0.35707337   2.1856769   2.9203196
## 502  -2.49427741  -1.03112338  -0.35707337   2.1856769   2.9203196
## 503  -2.49427741  -1.03112338  -0.35707337   2.1856769   2.9203196
## 504  -2.49427741  -1.03112338  -0.35707337   2.1856769   2.9203196
## 505 -12.01528272 -32.16471831 -25.60165572 -57.3254286  -6.0725074
## 506 -12.01528272 -32.16471831 -25.60165572 -57.3254286  -6.0725074
## 507 -12.01528272 -32.16471831 -25.60165572 -57.3254286  -6.0725074
## 508 -12.01528272 -32.16471831 -25.60165572 -57.3254286  -6.0725074
## 509 -12.01528272 -32.16471831 -25.60165572 -57.3254286  -6.0725074
## 510 -12.01528272 -32.16471831 -25.60165572 -57.3254286  -6.0725074
## 511 -12.01528272 -32.16471831 -25.60165572 -57.3254286  -6.0725074
## 512 -12.01528272 -32.16471831 -25.60165572 -57.3254286  -6.0725074
## 513  -3.29584031   3.59628250  -5.48752519   1.1857609   0.8380826
## 514  -3.29584031   3.59628250  -5.48752519   1.1857609   0.8380826
## 515  -3.29584031   3.59628250  -5.48752519   1.1857609   0.8380826
## 516  -3.29584031   3.59628250  -5.48752519   1.1857609   0.8380826
## 517  -3.29584031   3.59628250  -5.48752519   1.1857609   0.8380826
## 518  -3.29584031   3.59628250  -5.48752519   1.1857609   0.8380826
## 519  -3.29584031   3.59628250  -5.48752519   1.1857609   0.8380826
## 520  -3.29584031   3.59628250  -5.48752519   1.1857609   0.8380826
## 521  -2.74764196   2.83316093  -8.69060499  10.5454300  -2.7598201
## 522  -2.74764196   2.83316093  -8.69060499  10.5454300  -2.7598201
## 523  -2.74764196   2.83316093  -8.69060499  10.5454300  -2.7598201
## 524  -2.74764196   2.83316093  -8.69060499  10.5454300  -2.7598201
## 525  -2.74764196   2.83316093  -8.69060499  10.5454300  -2.7598201
## 526  -2.74764196   2.83316093  -8.69060499  10.5454300  -2.7598201
## 527  -2.74764196   2.83316093  -8.69060499  10.5454300  -2.7598201
## 528  -2.74764196   2.83316093  -8.69060499  10.5454300  -2.7598201
## 529  -3.66821962   7.92822453  23.30367470  -7.7074313  -4.1684675
## 530  -3.66821962   7.92822453  23.30367470  -7.7074313  -4.1684675
## 531  -3.66821962   7.92822453  23.30367470  -7.7074313  -4.1684675
## 532  -3.66821962   7.92822453  23.30367470  -7.7074313  -4.1684675
## 533  -3.66821962   7.92822453  23.30367470  -7.7074313  -4.1684675
## 534  -3.66821962   7.92822453  23.30367470  -7.7074313  -4.1684675
## 535  -3.66821962   7.92822453  23.30367470  -7.7074313  -4.1684675
## 536  -3.66821962   7.92822453  23.30367470  -7.7074313  -4.1684675
## 537  -2.41877123  -4.70758794  -6.28040934   7.0236055   6.8477308
## 538  -2.41877123  -4.70758794  -6.28040934   7.0236055   6.8477308
## 539  -2.41877123  -4.70758794  -6.28040934   7.0236055   6.8477308
## 540  -2.41877123  -4.70758794  -6.28040934   7.0236055   6.8477308
## 541  -2.41877123  -4.70758794  -6.28040934   7.0236055   6.8477308
## 542  -2.41877123  -4.70758794  -6.28040934   7.0236055   6.8477308
## 543  -2.41877123  -4.70758794  -6.28040934   7.0236055   6.8477308
## 544  -2.41877123  -4.70758794  -6.28040934   7.0236055   6.8477308
## 545  -0.05903760   4.28927406   4.42424136  -0.6409135   5.0163324
## 546  -0.05903760   4.28927406   4.42424136  -0.6409135   5.0163324
## 547  -0.05903760   4.28927406   4.42424136  -0.6409135   5.0163324
## 548  -0.05903760   4.28927406   4.42424136  -0.6409135   5.0163324
## 549  -0.05903760   4.28927406   4.42424136  -0.6409135   5.0163324
## 550  -0.05903760   4.28927406   4.42424136  -0.6409135   5.0163324
## 551  -0.05903760   4.28927406   4.42424136  -0.6409135   5.0163324
## 552  -0.05903760   4.28927406   4.42424136  -0.6409135   5.0163324
## 553  -4.25383550  -3.73561633  10.39071287   3.1735831  -6.0835651
## 554  -4.25383550  -3.73561633  10.39071287   3.1735831  -6.0835651
## 555  -4.25383550  -3.73561633  10.39071287   3.1735831  -6.0835651
## 556  -4.25383550  -3.73561633  10.39071287   3.1735831  -6.0835651
## 557  -4.25383550  -3.73561633  10.39071287   3.1735831  -6.0835651
## 558  -4.25383550  -3.73561633  10.39071287   3.1735831  -6.0835651
## 559  -4.25383550  -3.73561633  10.39071287   3.1735831  -6.0835651
## 560  -4.25383550  -3.73561633  10.39071287   3.1735831  -6.0835651
## 561  -0.91315807   1.17430687   7.09293119   3.4081299  -1.5205421
## 562  -0.91315807   1.17430687   7.09293119   3.4081299  -1.5205421
## 563  -0.91315807   1.17430687   7.09293119   3.4081299  -1.5205421
## 564  -0.91315807   1.17430687   7.09293119   3.4081299  -1.5205421
## 565  -0.91315807   1.17430687   7.09293119   3.4081299  -1.5205421
## 566  -0.91315807   1.17430687   7.09293119   3.4081299  -1.5205421
## 567  -0.91315807   1.17430687   7.09293119   3.4081299  -1.5205421
## 568  -0.91315807   1.17430687   7.09293119   3.4081299  -1.5205421
## 569   2.53626679  -1.07521579  -0.82362278   1.1447061  -0.9789115
## 570   2.53626679  -1.07521579  -0.82362278   1.1447061  -0.9789115
## 571   2.53626679  -1.07521579  -0.82362278   1.1447061  -0.9789115
## 572   2.53626679  -1.07521579  -0.82362278   1.1447061  -0.9789115
## 573   2.53626679  -1.07521579  -0.82362278   1.1447061  -0.9789115
## 574   2.53626679  -1.07521579  -0.82362278   1.1447061  -0.9789115
## 575   2.53626679  -1.07521579  -0.82362278   1.1447061  -0.9789115
## 576   2.53626679  -1.07521579  -0.82362278   1.1447061  -0.9789115
## 577  -0.97666411  -3.79303982   1.38858282  -0.8679528   1.6183021
## 578  -0.97666411  -3.79303982   1.38858282  -0.8679528   1.6183021
## 579  -0.97666411  -3.79303982   1.38858282  -0.8679528   1.6183021
## 580  -0.97666411  -3.79303982   1.38858282  -0.8679528   1.6183021
## 581  -0.97666411  -3.79303982   1.38858282  -0.8679528   1.6183021
## 582  -0.97666411  -3.79303982   1.38858282  -0.8679528   1.6183021
## 583  -0.97666411  -3.79303982   1.38858282  -0.8679528   1.6183021
## 584  -0.97666411  -3.79303982   1.38858282  -0.8679528   1.6183021
## 585 -94.12521221  46.67509785  29.18039077  48.3893856 -16.2344203
## 586 -94.12521221  46.67509785  29.18039077  48.3893856 -16.2344203
## 587 -94.12521221  46.67509785  29.18039077  48.3893856 -16.2344203
## 588 -94.12521221  46.67509785  29.18039077  48.3893856 -16.2344203
## 589 -94.12521221  46.67509785  29.18039077  48.3893856 -16.2344203
## 590 -94.12521221  46.67509785  29.18039077  48.3893856 -16.2344203
## 591 -94.12521221  46.67509785  29.18039077  48.3893856 -16.2344203
## 592 -94.12521221  46.67509785  29.18039077  48.3893856 -16.2344203
## 593 -26.39750470 -12.39722717 -28.61692397 -76.6074579  31.7431572
## 594 -26.39750470 -12.39722717 -28.61692397 -76.6074579  31.7431572
## 595 -26.39750470 -12.39722717 -28.61692397 -76.6074579  31.7431572
## 596 -26.39750470 -12.39722717 -28.61692397 -76.6074579  31.7431572
## 597 -26.39750470 -12.39722717 -28.61692397 -76.6074579  31.7431572
## 598 -26.39750470 -12.39722717 -28.61692397 -76.6074579  31.7431572
## 599 -26.39750470 -12.39722717 -28.61692397 -76.6074579  31.7431572
## 600 -26.39750470 -12.39722717 -28.61692397 -76.6074579  31.7431572
## 601  -2.07555319   1.48186695   5.03096201  -2.5157935   3.4964704
## 602  -2.07555319   1.48186695   5.03096201  -2.5157935   3.4964704
## 603  -2.07555319   1.48186695   5.03096201  -2.5157935   3.4964704
## 604  -2.07555319   1.48186695   5.03096201  -2.5157935   3.4964704
## 605  -2.07555319   1.48186695   5.03096201  -2.5157935   3.4964704
## 606  -2.07555319   1.48186695   5.03096201  -2.5157935   3.4964704
## 607  -2.07555319   1.48186695   5.03096201  -2.5157935   3.4964704
## 608  -2.07555319   1.48186695   5.03096201  -2.5157935   3.4964704
## 609  -2.02731009  -1.46395898   2.96831242  -0.4025069   0.6151626
## 610  -2.02731009  -1.46395898   2.96831242  -0.4025069   0.6151626
## 611  -2.02731009  -1.46395898   2.96831242  -0.4025069   0.6151626
## 612  -2.02731009  -1.46395898   2.96831242  -0.4025069   0.6151626
## 613  -2.02731009  -1.46395898   2.96831242  -0.4025069   0.6151626
## 614  -2.02731009  -1.46395898   2.96831242  -0.4025069   0.6151626
## 615  -2.02731009  -1.46395898   2.96831242  -0.4025069   0.6151626
## 616  -2.02731009  -1.46395898   2.96831242  -0.4025069   0.6151626
## 617  -5.40665910   1.98751564  -0.87871271   0.3492158  -1.7974726
## 618  -5.40665910   1.98751564  -0.87871271   0.3492158  -1.7974726
## 619  -5.40665910   1.98751564  -0.87871271   0.3492158  -1.7974726
## 620  -5.40665910   1.98751564  -0.87871271   0.3492158  -1.7974726
## 621  -5.40665910   1.98751564  -0.87871271   0.3492158  -1.7974726
## 622  -5.40665910   1.98751564  -0.87871271   0.3492158  -1.7974726
## 623  -5.40665910   1.98751564  -0.87871271   0.3492158  -1.7974726
## 624  -5.40665910   1.98751564  -0.87871271   0.3492158  -1.7974726
## 625   5.20982911   5.48296577   4.84530864  -3.5664175   9.5766167
## 626   5.20982911   5.48296577   4.84530864  -3.5664175   9.5766167
## 627   5.20982911   5.48296577   4.84530864  -3.5664175   9.5766167
## 628   5.20982911   5.48296577   4.84530864  -3.5664175   9.5766167
## 629   5.20982911   5.48296577   4.84530864  -3.5664175   9.5766167
## 630   5.20982911   5.48296577   4.84530864  -3.5664175   9.5766167
## 631   5.20982911   5.48296577   4.84530864  -3.5664175   9.5766167
## 632   5.20982911   5.48296577   4.84530864  -3.5664175   9.5766167
## 633  -1.57640051   9.26598163  -6.93161164  -5.7462850   1.7314377
## 634  -1.57640051   9.26598163  -6.93161164  -5.7462850   1.7314377
## 635  -1.57640051   9.26598163  -6.93161164  -5.7462850   1.7314377
## 636  -1.57640051   9.26598163  -6.93161164  -5.7462850   1.7314377
## 637  -1.57640051   9.26598163  -6.93161164  -5.7462850   1.7314377
## 638  -1.57640051   9.26598163  -6.93161164  -5.7462850   1.7314377
## 639  -1.57640051   9.26598163  -6.93161164  -5.7462850   1.7314377
## 640  -1.57640051   9.26598163  -6.93161164  -5.7462850   1.7314377
## 641  -8.38397460 -81.18532196 -24.68157418  22.9912006 -81.6897978
## 642  -8.38397460 -81.18532196 -24.68157418  22.9912006 -81.6897978
## 643  -8.38397460 -81.18532196 -24.68157418  22.9912006 -81.6897978
## 644  -8.38397460 -81.18532196 -24.68157418  22.9912006 -81.6897978
## 645  -8.38397460 -81.18532196 -24.68157418  22.9912006 -81.6897978
## 646  -8.38397460 -81.18532196 -24.68157418  22.9912006 -81.6897978
## 647  -8.38397460 -81.18532196 -24.68157418  22.9912006 -81.6897978
## 648  -8.38397460 -81.18532196 -24.68157418  22.9912006 -81.6897978
## 649   1.40739791   0.03823210  -4.41033466  -1.1887358   3.1761868
## 650   1.40739791   0.03823210  -4.41033466  -1.1887358   3.1761868
## 651   1.40739791   0.03823210  -4.41033466  -1.1887358   3.1761868
## 652   1.40739791   0.03823210  -4.41033466  -1.1887358   3.1761868
## 653   1.40739791   0.03823210  -4.41033466  -1.1887358   3.1761868
## 654   1.40739791   0.03823210  -4.41033466  -1.1887358   3.1761868
## 655   1.40739791   0.03823210  -4.41033466  -1.1887358   3.1761868
## 656   1.40739791   0.03823210  -4.41033466  -1.1887358   3.1761868
## 657  -0.14967858  -0.83933964   4.92916560  -0.3468940   4.0522034
## 658  -0.14967858  -0.83933964   4.92916560  -0.3468940   4.0522034
## 659  -0.14967858  -0.83933964   4.92916560  -0.3468940   4.0522034
## 660  -0.14967858  -0.83933964   4.92916560  -0.3468940   4.0522034
## 661  -0.14967858  -0.83933964   4.92916560  -0.3468940   4.0522034
## 662  -0.14967858  -0.83933964   4.92916560  -0.3468940   4.0522034
## 663  -0.14967858  -0.83933964   4.92916560  -0.3468940   4.0522034
## 664  -0.14967858  -0.83933964   4.92916560  -0.3468940   4.0522034
## 665   6.26981658  -5.76224848   5.82449170  11.5839760   2.9889330
## 666   6.26981658  -5.76224848   5.82449170  11.5839760   2.9889330
## 667   6.26981658  -5.76224848   5.82449170  11.5839760   2.9889330
## 668   6.26981658  -5.76224848   5.82449170  11.5839760   2.9889330
## 669   6.26981658  -5.76224848   5.82449170  11.5839760   2.9889330
## 670   6.26981658  -5.76224848   5.82449170  11.5839760   2.9889330
## 671   6.26981658  -5.76224848   5.82449170  11.5839760   2.9889330
## 672   6.26981658  -5.76224848   5.82449170  11.5839760   2.9889330
## 673  -0.88316612   0.69791583  -2.12678999  -0.8043802   4.1016762
## 674  -0.88316612   0.69791583  -2.12678999  -0.8043802   4.1016762
## 675  -0.88316612   0.69791583  -2.12678999  -0.8043802   4.1016762
## 676  -0.88316612   0.69791583  -2.12678999  -0.8043802   4.1016762
## 677  -0.88316612   0.69791583  -2.12678999  -0.8043802   4.1016762
## 678  -0.88316612   0.69791583  -2.12678999  -0.8043802   4.1016762
## 679  -0.88316612   0.69791583  -2.12678999  -0.8043802   4.1016762
## 680  -0.88316612   0.69791583  -2.12678999  -0.8043802   4.1016762
## 681  15.32657422   6.32856399   4.46163554 -12.4909610  19.1386568
## 682  15.32657422   6.32856399   4.46163554 -12.4909610  19.1386568
## 683  15.32657422   6.32856399   4.46163554 -12.4909610  19.1386568
## 684  15.32657422   6.32856399   4.46163554 -12.4909610  19.1386568
## 685  15.32657422   6.32856399   4.46163554 -12.4909610  19.1386568
## 686  15.32657422   6.32856399   4.46163554 -12.4909610  19.1386568
## 687  15.32657422   6.32856399   4.46163554 -12.4909610  19.1386568
## 688  15.32657422   6.32856399   4.46163554 -12.4909610  19.1386568
## 689   0.55916177   2.13165804   0.55933230   4.9616714  -1.0207834
## 690   0.55916177   2.13165804   0.55933230   4.9616714  -1.0207834
## 691   0.55916177   2.13165804   0.55933230   4.9616714  -1.0207834
## 692   0.55916177   2.13165804   0.55933230   4.9616714  -1.0207834
## 693   0.55916177   2.13165804   0.55933230   4.9616714  -1.0207834
## 694   0.55916177   2.13165804   0.55933230   4.9616714  -1.0207834
## 695   0.55916177   2.13165804   0.55933230   4.9616714  -1.0207834
## 696   0.55916177   2.13165804   0.55933230   4.9616714  -1.0207834
## 697   0.24644219   7.74889082   9.94240071   0.8947181   9.7300937
## 698   0.24644219   7.74889082   9.94240071   0.8947181   9.7300937
## 699   0.24644219   7.74889082   9.94240071   0.8947181   9.7300937
## 700   0.24644219   7.74889082   9.94240071   0.8947181   9.7300937
## 701   0.24644219   7.74889082   9.94240071   0.8947181   9.7300937
## 702   0.24644219   7.74889082   9.94240071   0.8947181   9.7300937
## 703   0.24644219   7.74889082   9.94240071   0.8947181   9.7300937
## 704   0.24644219   7.74889082   9.94240071   0.8947181   9.7300937
## 705   0.28343337   3.28065815   2.75818357   1.7377164  -1.6723319
## 706   0.28343337   3.28065815   2.75818357   1.7377164  -1.6723319
## 707   0.28343337   3.28065815   2.75818357   1.7377164  -1.6723319
## 708   0.28343337   3.28065815   2.75818357   1.7377164  -1.6723319
## 709   0.28343337   3.28065815   2.75818357   1.7377164  -1.6723319
## 710   0.28343337   3.28065815   2.75818357   1.7377164  -1.6723319
## 711   0.28343337   3.28065815   2.75818357   1.7377164  -1.6723319
## 712   0.28343337   3.28065815   2.75818357   1.7377164  -1.6723319
## 713  -1.96944607   2.67295848   1.53484042  -2.6188556  -3.4938850
## 714  -1.96944607   2.67295848   1.53484042  -2.6188556  -3.4938850
## 715  -1.96944607   2.67295848   1.53484042  -2.6188556  -3.4938850
## 716  -1.96944607   2.67295848   1.53484042  -2.6188556  -3.4938850
## 717  -1.96944607   2.67295848   1.53484042  -2.6188556  -3.4938850
## 718  -1.96944607   2.67295848   1.53484042  -2.6188556  -3.4938850
## 719  -1.96944607   2.67295848   1.53484042  -2.6188556  -3.4938850
## 720  -1.96944607   2.67295848   1.53484042  -2.6188556  -3.4938850
## 721  -2.71875954   0.17003288  -1.72615176   2.2567798   0.8288396
## 722  -2.71875954   0.17003288  -1.72615176   2.2567798   0.8288396
## 723  -2.71875954   0.17003288  -1.72615176   2.2567798   0.8288396
## 724  -2.71875954   0.17003288  -1.72615176   2.2567798   0.8288396
## 725  -2.71875954   0.17003288  -1.72615176   2.2567798   0.8288396
## 726  -2.71875954   0.17003288  -1.72615176   2.2567798   0.8288396
## 727  -2.71875954   0.17003288  -1.72615176   2.2567798   0.8288396
## 728  -2.71875954   0.17003288  -1.72615176   2.2567798   0.8288396
## 729  71.93555159 -25.03575258  42.23658287 -17.6887838 -11.6345322
## 730  71.93555159 -25.03575258  42.23658287 -17.6887838 -11.6345322
## 731  71.93555159 -25.03575258  42.23658287 -17.6887838 -11.6345322
## 732  71.93555159 -25.03575258  42.23658287 -17.6887838 -11.6345322
## 733  71.93555159 -25.03575258  42.23658287 -17.6887838 -11.6345322
## 734  71.93555159 -25.03575258  42.23658287 -17.6887838 -11.6345322
## 735  71.93555159 -25.03575258  42.23658287 -17.6887838 -11.6345322
## 736  71.93555159 -25.03575258  42.23658287 -17.6887838 -11.6345322
## 737   0.14314679   3.97345527  -1.31170689   4.3745107  -1.0427829
## 738   0.14314679   3.97345527  -1.31170689   4.3745107  -1.0427829
## 739   0.14314679   3.97345527  -1.31170689   4.3745107  -1.0427829
## 740   0.14314679   3.97345527  -1.31170689   4.3745107  -1.0427829
## 741   0.14314679   3.97345527  -1.31170689   4.3745107  -1.0427829
## 742   0.14314679   3.97345527  -1.31170689   4.3745107  -1.0427829
## 743   0.14314679   3.97345527  -1.31170689   4.3745107  -1.0427829
## 744   0.14314679   3.97345527  -1.31170689   4.3745107  -1.0427829
## 745  -2.59240363   4.42836244  -4.99386246   0.7027412   3.5497652
## 746  -2.59240363   4.42836244  -4.99386246   0.7027412   3.5497652
## 747  -2.59240363   4.42836244  -4.99386246   0.7027412   3.5497652
## 748  -2.59240363   4.42836244  -4.99386246   0.7027412   3.5497652
## 749  -2.59240363   4.42836244  -4.99386246   0.7027412   3.5497652
## 750  -2.59240363   4.42836244  -4.99386246   0.7027412   3.5497652
## 751  -2.59240363   4.42836244  -4.99386246   0.7027412   3.5497652
## 752  -2.59240363   4.42836244  -4.99386246   0.7027412   3.5497652
## 753   3.86499026   4.77181810   4.41301661   3.5677509   4.2858441
## 754   3.86499026   4.77181810   4.41301661   3.5677509   4.2858441
## 755   3.86499026   4.77181810   4.41301661   3.5677509   4.2858441
## 756   3.86499026   4.77181810   4.41301661   3.5677509   4.2858441
## 757   3.86499026   4.77181810   4.41301661   3.5677509   4.2858441
## 758   3.86499026   4.77181810   4.41301661   3.5677509   4.2858441
## 759   3.86499026   4.77181810   4.41301661   3.5677509   4.2858441
## 760   3.86499026   4.77181810   4.41301661   3.5677509   4.2858441
## 761   1.00666792  -0.70552828  -4.38907241   7.5831544   4.0190066
## 762   1.00666792  -0.70552828  -4.38907241   7.5831544   4.0190066
## 763   1.00666792  -0.70552828  -4.38907241   7.5831544   4.0190066
## 764   1.00666792  -0.70552828  -4.38907241   7.5831544   4.0190066
## 765   1.00666792  -0.70552828  -4.38907241   7.5831544   4.0190066
## 766   1.00666792  -0.70552828  -4.38907241   7.5831544   4.0190066
## 767   1.00666792  -0.70552828  -4.38907241   7.5831544   4.0190066
## 768   1.00666792  -0.70552828  -4.38907241   7.5831544   4.0190066
## 769   4.50456259   1.59490291  -0.85040258   3.8867627   1.1132676
## 770   4.50456259   1.59490291  -0.85040258   3.8867627   1.1132676
## 771   4.50456259   1.59490291  -0.85040258   3.8867627   1.1132676
## 772   4.50456259   1.59490291  -0.85040258   3.8867627   1.1132676
## 773   4.50456259   1.59490291  -0.85040258   3.8867627   1.1132676
## 774   4.50456259   1.59490291  -0.85040258   3.8867627   1.1132676
## 775   4.50456259   1.59490291  -0.85040258   3.8867627   1.1132676
## 776   4.50456259   1.59490291  -0.85040258   3.8867627   1.1132676
## 777   5.40619524  -1.84142322   2.38836694  -2.1919692   0.5317716
## 778   5.40619524  -1.84142322   2.38836694  -2.1919692   0.5317716
## 779   5.40619524  -1.84142322   2.38836694  -2.1919692   0.5317716
## 780   5.40619524  -1.84142322   2.38836694  -2.1919692   0.5317716
## 781   5.40619524  -1.84142322   2.38836694  -2.1919692   0.5317716
## 782   5.40619524  -1.84142322   2.38836694  -2.1919692   0.5317716
## 783   5.40619524  -1.84142322   2.38836694  -2.1919692   0.5317716
## 784   5.40619524  -1.84142322   2.38836694  -2.1919692   0.5317716
## 785  15.94571565 -41.43228202 -43.58785047  11.3702772  -2.5960089
## 786  15.94571565 -41.43228202 -43.58785047  11.3702772  -2.5960089
## 787  15.94571565 -41.43228202 -43.58785047  11.3702772  -2.5960089
## 788  15.94571565 -41.43228202 -43.58785047  11.3702772  -2.5960089
## 789  15.94571565 -41.43228202 -43.58785047  11.3702772  -2.5960089
## 790  15.94571565 -41.43228202 -43.58785047  11.3702772  -2.5960089
## 791  15.94571565 -41.43228202 -43.58785047  11.3702772  -2.5960089
## 792  15.94571565 -41.43228202 -43.58785047  11.3702772  -2.5960089
## 793   5.99901747  10.10647367  -4.79788877  -2.2209432   4.0225716
## 794   5.99901747  10.10647367  -4.79788877  -2.2209432   4.0225716
## 795   5.99901747  10.10647367  -4.79788877  -2.2209432   4.0225716
## 796   5.99901747  10.10647367  -4.79788877  -2.2209432   4.0225716
## 797   5.99901747  10.10647367  -4.79788877  -2.2209432   4.0225716
## 798   5.99901747  10.10647367  -4.79788877  -2.2209432   4.0225716
## 799   5.99901747  10.10647367  -4.79788877  -2.2209432   4.0225716
##        PC15_score  PC16_score    PC17_score   PC18_score   PC19_score
## 1    -8.683131511   6.0594266  -5.739264310   0.92329509   1.34812219
## 2    -8.683131511   6.0594266  -5.739264310   0.92329509   1.34812219
## 3    -8.683131511   6.0594266  -5.739264310   0.92329509   1.34812219
## 4    -8.683131511   6.0594266  -5.739264310   0.92329509   1.34812219
## 5    -8.683131511   6.0594266  -5.739264310   0.92329509   1.34812219
## 6    -8.683131511   6.0594266  -5.739264310   0.92329509   1.34812219
## 7    -8.683131511   6.0594266  -5.739264310   0.92329509   1.34812219
## 8    -8.683131511   6.0594266  -5.739264310   0.92329509   1.34812219
## 9    -7.102697855   1.8178725  -1.682274858   6.03795094   0.65457065
## 10   -7.102697855   1.8178725  -1.682274858   6.03795094   0.65457065
## 11   -7.102697855   1.8178725  -1.682274858   6.03795094   0.65457065
## 12   -7.102697855   1.8178725  -1.682274858   6.03795094   0.65457065
## 13   -7.102697855   1.8178725  -1.682274858   6.03795094   0.65457065
## 14   -7.102697855   1.8178725  -1.682274858   6.03795094   0.65457065
## 15   -7.102697855   1.8178725  -1.682274858   6.03795094   0.65457065
## 16   -7.102697855   1.8178725  -1.682274858   6.03795094   0.65457065
## 17  -21.187782363   5.0945561  -3.961437616  -8.33551606  -2.67272085
## 18  -21.187782363   5.0945561  -3.961437616  -8.33551606  -2.67272085
## 19  -21.187782363   5.0945561  -3.961437616  -8.33551606  -2.67272085
## 20  -21.187782363   5.0945561  -3.961437616  -8.33551606  -2.67272085
## 21  -21.187782363   5.0945561  -3.961437616  -8.33551606  -2.67272085
## 22  -21.187782363   5.0945561  -3.961437616  -8.33551606  -2.67272085
## 23  -21.187782363   5.0945561  -3.961437616  -8.33551606  -2.67272085
## 24  -21.187782363   5.0945561  -3.961437616  -8.33551606  -2.67272085
## 25   -6.953384505   0.5190191  -3.178335654   2.05684663  10.09032899
## 26   -6.953384505   0.5190191  -3.178335654   2.05684663  10.09032899
## 27   -6.953384505   0.5190191  -3.178335654   2.05684663  10.09032899
## 28   -6.953384505   0.5190191  -3.178335654   2.05684663  10.09032899
## 29   -6.953384505   0.5190191  -3.178335654   2.05684663  10.09032899
## 30   -6.953384505   0.5190191  -3.178335654   2.05684663  10.09032899
## 31   -6.953384505   0.5190191  -3.178335654   2.05684663  10.09032899
## 32   -6.953384505   0.5190191  -3.178335654   2.05684663  10.09032899
## 33   -7.591401306  -2.0061886   5.528430244   4.91617421   6.79489429
## 34   -7.591401306  -2.0061886   5.528430244   4.91617421   6.79489429
## 35   -7.591401306  -2.0061886   5.528430244   4.91617421   6.79489429
## 36   -7.591401306  -2.0061886   5.528430244   4.91617421   6.79489429
## 37   -7.591401306  -2.0061886   5.528430244   4.91617421   6.79489429
## 38   -7.591401306  -2.0061886   5.528430244   4.91617421   6.79489429
## 39   -7.591401306  -2.0061886   5.528430244   4.91617421   6.79489429
## 40   -7.591401306  -2.0061886   5.528430244   4.91617421   6.79489429
## 41    3.075362100  -0.1906902  -0.607335423  -0.68430211  -1.28613829
## 42    3.075362100  -0.1906902  -0.607335423  -0.68430211  -1.28613829
## 43    3.075362100  -0.1906902  -0.607335423  -0.68430211  -1.28613829
## 44    3.075362100  -0.1906902  -0.607335423  -0.68430211  -1.28613829
## 45    3.075362100  -0.1906902  -0.607335423  -0.68430211  -1.28613829
## 46    3.075362100  -0.1906902  -0.607335423  -0.68430211  -1.28613829
## 47    3.075362100  -0.1906902  -0.607335423  -0.68430211  -1.28613829
## 48    3.075362100  -0.1906902  -0.607335423  -0.68430211  -1.28613829
## 49   -1.991135429  58.2556693 -13.920344057  -7.82974451  64.99177455
## 50   -1.991135429  58.2556693 -13.920344057  -7.82974451  64.99177455
## 51   -1.991135429  58.2556693 -13.920344057  -7.82974451  64.99177455
## 52   -1.991135429  58.2556693 -13.920344057  -7.82974451  64.99177455
## 53   -1.991135429  58.2556693 -13.920344057  -7.82974451  64.99177455
## 54   -1.991135429  58.2556693 -13.920344057  -7.82974451  64.99177455
## 55   -1.991135429  58.2556693 -13.920344057  -7.82974451  64.99177455
## 56   -1.991135429  58.2556693 -13.920344057  -7.82974451  64.99177455
## 57   -0.342368218   8.4904043  -7.066325327   4.65649591  10.47011422
## 58   -0.342368218   8.4904043  -7.066325327   4.65649591  10.47011422
## 59   -0.342368218   8.4904043  -7.066325327   4.65649591  10.47011422
## 60   -0.342368218   8.4904043  -7.066325327   4.65649591  10.47011422
## 61   -0.342368218   8.4904043  -7.066325327   4.65649591  10.47011422
## 62   -0.342368218   8.4904043  -7.066325327   4.65649591  10.47011422
## 63   -0.342368218   8.4904043  -7.066325327   4.65649591  10.47011422
## 64   -0.342368218   8.4904043  -7.066325327   4.65649591  10.47011422
## 65   -6.102123992   0.2883314  -7.085885212  13.57210198  11.15939837
## 66   -6.102123992   0.2883314  -7.085885212  13.57210198  11.15939837
## 67   -6.102123992   0.2883314  -7.085885212  13.57210198  11.15939837
## 68   -6.102123992   0.2883314  -7.085885212  13.57210198  11.15939837
## 69   -6.102123992   0.2883314  -7.085885212  13.57210198  11.15939837
## 70   -6.102123992   0.2883314  -7.085885212  13.57210198  11.15939837
## 71   -6.102123992   0.2883314  -7.085885212  13.57210198  11.15939837
## 72   -6.102123992   0.2883314  -7.085885212  13.57210198  11.15939837
## 73   -2.065582446   7.9805497   1.564414428  -1.64596077   7.03812394
## 74   -2.065582446   7.9805497   1.564414428  -1.64596077   7.03812394
## 75   -2.065582446   7.9805497   1.564414428  -1.64596077   7.03812394
## 76   -2.065582446   7.9805497   1.564414428  -1.64596077   7.03812394
## 77   -2.065582446   7.9805497   1.564414428  -1.64596077   7.03812394
## 78   -2.065582446   7.9805497   1.564414428  -1.64596077   7.03812394
## 79   -2.065582446   7.9805497   1.564414428  -1.64596077   7.03812394
## 80   -2.065582446   7.9805497   1.564414428  -1.64596077   7.03812394
## 81   -2.692231964  -5.8141726   0.990224005  -0.03475451  -0.65876314
## 82   -2.692231964  -5.8141726   0.990224005  -0.03475451  -0.65876314
## 83   -2.692231964  -5.8141726   0.990224005  -0.03475451  -0.65876314
## 84   -2.692231964  -5.8141726   0.990224005  -0.03475451  -0.65876314
## 85   -2.692231964  -5.8141726   0.990224005  -0.03475451  -0.65876314
## 86   -2.692231964  -5.8141726   0.990224005  -0.03475451  -0.65876314
## 87   -2.692231964  -5.8141726   0.990224005  -0.03475451  -0.65876314
## 88   -2.692231964  -5.8141726   0.990224005  -0.03475451  -0.65876314
## 89  -14.818203622   7.8600622  -3.947707669 -23.86550968 -15.52641718
## 90  -14.818203622   7.8600622  -3.947707669 -23.86550968 -15.52641718
## 91  -14.818203622   7.8600622  -3.947707669 -23.86550968 -15.52641718
## 92  -14.818203622   7.8600622  -3.947707669 -23.86550968 -15.52641718
## 93  -14.818203622   7.8600622  -3.947707669 -23.86550968 -15.52641718
## 94  -14.818203622   7.8600622  -3.947707669 -23.86550968 -15.52641718
## 95  -14.818203622   7.8600622  -3.947707669 -23.86550968 -15.52641718
## 96  -14.818203622   7.8600622  -3.947707669 -23.86550968 -15.52641718
## 97   -8.845312638   4.2009047   0.765930697  -0.99728051   1.02540601
## 98   -8.845312638   4.2009047   0.765930697  -0.99728051   1.02540601
## 99   -8.845312638   4.2009047   0.765930697  -0.99728051   1.02540601
## 100  -8.845312638   4.2009047   0.765930697  -0.99728051   1.02540601
## 101  -8.845312638   4.2009047   0.765930697  -0.99728051   1.02540601
## 102  -8.845312638   4.2009047   0.765930697  -0.99728051   1.02540601
## 103  -8.845312638   4.2009047   0.765930697  -0.99728051   1.02540601
## 104  -8.845312638   4.2009047   0.765930697  -0.99728051   1.02540601
## 105  -4.402616739  -1.7091317  -0.402666942   1.99137424   1.16643081
## 106  -4.402616739  -1.7091317  -0.402666942   1.99137424   1.16643081
## 107  -4.402616739  -1.7091317  -0.402666942   1.99137424   1.16643081
## 108  -4.402616739  -1.7091317  -0.402666942   1.99137424   1.16643081
## 109  -4.402616739  -1.7091317  -0.402666942   1.99137424   1.16643081
## 110  -4.402616739  -1.7091317  -0.402666942   1.99137424   1.16643081
## 111  -4.402616739  -1.7091317  -0.402666942   1.99137424   1.16643081
## 112  -4.402616739  -1.7091317  -0.402666942   1.99137424   1.16643081
## 113 -35.263603644 -14.2869997 -40.247801329  92.72742546  21.41491483
## 114 -35.263603644 -14.2869997 -40.247801329  92.72742546  21.41491483
## 115 -35.263603644 -14.2869997 -40.247801329  92.72742546  21.41491483
## 116 -35.263603644 -14.2869997 -40.247801329  92.72742546  21.41491483
## 117 -35.263603644 -14.2869997 -40.247801329  92.72742546  21.41491483
## 118 -35.263603644 -14.2869997 -40.247801329  92.72742546  21.41491483
## 119 -35.263603644 -14.2869997 -40.247801329  92.72742546  21.41491483
## 120 -35.263603644 -14.2869997 -40.247801329  92.72742546  21.41491483
## 121 -16.747751498   3.9869744   2.718542997   1.28972658   1.30661023
## 122 -16.747751498   3.9869744   2.718542997   1.28972658   1.30661023
## 123 -16.747751498   3.9869744   2.718542997   1.28972658   1.30661023
## 124 -16.747751498   3.9869744   2.718542997   1.28972658   1.30661023
## 125 -16.747751498   3.9869744   2.718542997   1.28972658   1.30661023
## 126 -16.747751498   3.9869744   2.718542997   1.28972658   1.30661023
## 127 -16.747751498   3.9869744   2.718542997   1.28972658   1.30661023
## 128 -16.747751498   3.9869744   2.718542997   1.28972658   1.30661023
## 129   0.557299139  -4.9606894   6.082953152  -2.83276087   3.20763696
## 130   0.557299139  -4.9606894   6.082953152  -2.83276087   3.20763696
## 131   0.557299139  -4.9606894   6.082953152  -2.83276087   3.20763696
## 132   0.557299139  -4.9606894   6.082953152  -2.83276087   3.20763696
## 133   0.557299139  -4.9606894   6.082953152  -2.83276087   3.20763696
## 134   0.557299139  -4.9606894   6.082953152  -2.83276087   3.20763696
## 135   0.557299139  -4.9606894   6.082953152  -2.83276087   3.20763696
## 136   0.557299139  -4.9606894   6.082953152  -2.83276087   3.20763696
## 137  15.804450397  11.8429089  12.442606380   6.35073389   9.38502046
## 138  15.804450397  11.8429089  12.442606380   6.35073389   9.38502046
## 139  15.804450397  11.8429089  12.442606380   6.35073389   9.38502046
## 140  15.804450397  11.8429089  12.442606380   6.35073389   9.38502046
## 141  15.804450397  11.8429089  12.442606380   6.35073389   9.38502046
## 142  15.804450397  11.8429089  12.442606380   6.35073389   9.38502046
## 143  15.804450397  11.8429089  12.442606380   6.35073389   9.38502046
## 144  15.804450397  11.8429089  12.442606380   6.35073389   9.38502046
## 145   0.025781341   6.4070204   0.944349773  -0.67831933   5.53256984
## 146   0.025781341   6.4070204   0.944349773  -0.67831933   5.53256984
## 147   0.025781341   6.4070204   0.944349773  -0.67831933   5.53256984
## 148   0.025781341   6.4070204   0.944349773  -0.67831933   5.53256984
## 149   0.025781341   6.4070204   0.944349773  -0.67831933   5.53256984
## 150   0.025781341   6.4070204   0.944349773  -0.67831933   5.53256984
## 151   0.025781341   6.4070204   0.944349773  -0.67831933   5.53256984
## 152   0.025781341   6.4070204   0.944349773  -0.67831933   5.53256984
## 153  21.725205984 -39.5093376 -17.420304997 -22.63926866  -0.91130024
## 154  21.725205984 -39.5093376 -17.420304997 -22.63926866  -0.91130024
## 155  21.725205984 -39.5093376 -17.420304997 -22.63926866  -0.91130024
## 156  21.725205984 -39.5093376 -17.420304997 -22.63926866  -0.91130024
## 157  21.725205984 -39.5093376 -17.420304997 -22.63926866  -0.91130024
## 158  21.725205984 -39.5093376 -17.420304997 -22.63926866  -0.91130024
## 159  21.725205984 -39.5093376 -17.420304997 -22.63926866  -0.91130024
## 160  21.725205984 -39.5093376 -17.420304997 -22.63926866  -0.91130024
## 161   0.179831602   4.7620407  -6.083118080  -0.63304806  -4.98048813
## 162   0.179831602   4.7620407  -6.083118080  -0.63304806  -4.98048813
## 163   0.179831602   4.7620407  -6.083118080  -0.63304806  -4.98048813
## 164   0.179831602   4.7620407  -6.083118080  -0.63304806  -4.98048813
## 165   0.179831602   4.7620407  -6.083118080  -0.63304806  -4.98048813
## 166   0.179831602   4.7620407  -6.083118080  -0.63304806  -4.98048813
## 167   0.179831602   4.7620407  -6.083118080  -0.63304806  -4.98048813
## 168   0.179831602   4.7620407  -6.083118080  -0.63304806  -4.98048813
## 169  -0.640800959   1.0497998   0.598182829   0.40497895  -0.60423171
## 170  -0.640800959   1.0497998   0.598182829   0.40497895  -0.60423171
## 171  -0.640800959   1.0497998   0.598182829   0.40497895  -0.60423171
## 172  -0.640800959   1.0497998   0.598182829   0.40497895  -0.60423171
## 173  -0.640800959   1.0497998   0.598182829   0.40497895  -0.60423171
## 174  -0.640800959   1.0497998   0.598182829   0.40497895  -0.60423171
## 175  -0.640800959   1.0497998   0.598182829   0.40497895  -0.60423171
## 176  -0.640800959   1.0497998   0.598182829   0.40497895  -0.60423171
## 177  -0.959487479   1.5539774   0.158476803   1.61215774  -1.15133063
## 178  -0.959487479   1.5539774   0.158476803   1.61215774  -1.15133063
## 179  -0.959487479   1.5539774   0.158476803   1.61215774  -1.15133063
## 180  -0.959487479   1.5539774   0.158476803   1.61215774  -1.15133063
## 181  -0.959487479   1.5539774   0.158476803   1.61215774  -1.15133063
## 182  -0.959487479   1.5539774   0.158476803   1.61215774  -1.15133063
## 183  -0.959487479   1.5539774   0.158476803   1.61215774  -1.15133063
## 184  -0.959487479   1.5539774   0.158476803   1.61215774  -1.15133063
## 185 -20.874654771 -18.5984892  -1.367410296  -9.14777785  -5.26320816
## 186 -20.874654771 -18.5984892  -1.367410296  -9.14777785  -5.26320816
## 187 -20.874654771 -18.5984892  -1.367410296  -9.14777785  -5.26320816
## 188 -20.874654771 -18.5984892  -1.367410296  -9.14777785  -5.26320816
## 189 -20.874654771 -18.5984892  -1.367410296  -9.14777785  -5.26320816
## 190 -20.874654771 -18.5984892  -1.367410296  -9.14777785  -5.26320816
## 191 -20.874654771 -18.5984892  -1.367410296  -9.14777785  -5.26320816
## 192 -20.874654771 -18.5984892  -1.367410296  -9.14777785  -5.26320816
## 193  -3.573218887  13.3374624  -2.514072155  -2.28358186   2.63046255
## 194  -3.573218887  13.3374624  -2.514072155  -2.28358186   2.63046255
## 195  -3.573218887  13.3374624  -2.514072155  -2.28358186   2.63046255
## 196  -3.573218887  13.3374624  -2.514072155  -2.28358186   2.63046255
## 197  -3.573218887  13.3374624  -2.514072155  -2.28358186   2.63046255
## 198  -3.573218887  13.3374624  -2.514072155  -2.28358186   2.63046255
## 199  -3.573218887  13.3374624  -2.514072155  -2.28358186   2.63046255
## 200  -3.573218887  13.3374624  -2.514072155  -2.28358186   2.63046255
## 201  -4.025477474  -7.1813979   9.482739113   9.77025076  -3.75567824
## 202  -4.025477474  -7.1813979   9.482739113   9.77025076  -3.75567824
## 203  -4.025477474  -7.1813979   9.482739113   9.77025076  -3.75567824
## 204  -4.025477474  -7.1813979   9.482739113   9.77025076  -3.75567824
## 205  -4.025477474  -7.1813979   9.482739113   9.77025076  -3.75567824
## 206  -4.025477474  -7.1813979   9.482739113   9.77025076  -3.75567824
## 207  -4.025477474  -7.1813979   9.482739113   9.77025076  -3.75567824
## 208  -4.025477474  -7.1813979   9.482739113   9.77025076  -3.75567824
## 209 -41.246767204 -56.0574779 -16.492706777 -22.00197125 -16.95377796
## 210 -41.246767204 -56.0574779 -16.492706777 -22.00197125 -16.95377796
## 211 -41.246767204 -56.0574779 -16.492706777 -22.00197125 -16.95377796
## 212 -41.246767204 -56.0574779 -16.492706777 -22.00197125 -16.95377796
## 213 -41.246767204 -56.0574779 -16.492706777 -22.00197125 -16.95377796
## 214 -41.246767204 -56.0574779 -16.492706777 -22.00197125 -16.95377796
## 215 -41.246767204 -56.0574779 -16.492706777 -22.00197125 -16.95377796
## 216 -41.246767204 -56.0574779 -16.492706777 -22.00197125 -16.95377796
## 217  -1.263593243  -2.5513557  -1.135122729  -4.20855574  -2.55008842
## 218  -1.263593243  -2.5513557  -1.135122729  -4.20855574  -2.55008842
## 219  -1.263593243  -2.5513557  -1.135122729  -4.20855574  -2.55008842
## 220  -1.263593243  -2.5513557  -1.135122729  -4.20855574  -2.55008842
## 221  -1.263593243  -2.5513557  -1.135122729  -4.20855574  -2.55008842
## 222  -1.263593243  -2.5513557  -1.135122729  -4.20855574  -2.55008842
## 223  -1.263593243  -2.5513557  -1.135122729  -4.20855574  -2.55008842
## 224  -1.263593243  -2.5513557  -1.135122729  -4.20855574  -2.55008842
## 225  -1.337707277   1.1814466   1.945441041  -1.88665462  -0.65660242
## 226  -1.337707277   1.1814466   1.945441041  -1.88665462  -0.65660242
## 227  -1.337707277   1.1814466   1.945441041  -1.88665462  -0.65660242
## 228  -1.337707277   1.1814466   1.945441041  -1.88665462  -0.65660242
## 229  -1.337707277   1.1814466   1.945441041  -1.88665462  -0.65660242
## 230  -1.337707277   1.1814466   1.945441041  -1.88665462  -0.65660242
## 231  -1.337707277   1.1814466   1.945441041  -1.88665462  -0.65660242
## 232  -1.337707277   1.1814466   1.945441041  -1.88665462  -0.65660242
## 233  -9.182247760  17.2691158  -6.441941173   6.97971495   4.00650594
## 234  -9.182247760  17.2691158  -6.441941173   6.97971495   4.00650594
## 235  -9.182247760  17.2691158  -6.441941173   6.97971495   4.00650594
## 236  -9.182247760  17.2691158  -6.441941173   6.97971495   4.00650594
## 237  -9.182247760  17.2691158  -6.441941173   6.97971495   4.00650594
## 238  -9.182247760  17.2691158  -6.441941173   6.97971495   4.00650594
## 239  -9.182247760  17.2691158  -6.441941173   6.97971495   4.00650594
## 240  -9.182247760  17.2691158  -6.441941173   6.97971495   4.00650594
## 241   1.939184281   3.2067444   0.008434115   1.73419182  -5.59072446
## 242   1.939184281   3.2067444   0.008434115   1.73419182  -5.59072446
## 243   1.939184281   3.2067444   0.008434115   1.73419182  -5.59072446
## 244   1.939184281   3.2067444   0.008434115   1.73419182  -5.59072446
## 245   1.939184281   3.2067444   0.008434115   1.73419182  -5.59072446
## 246   1.939184281   3.2067444   0.008434115   1.73419182  -5.59072446
## 247   1.939184281   3.2067444   0.008434115   1.73419182  -5.59072446
## 248   1.939184281   3.2067444   0.008434115   1.73419182  -5.59072446
## 249  -2.177186465  -1.4047966   1.103811460   1.91856369   0.76892552
## 250  -2.177186465  -1.4047966   1.103811460   1.91856369   0.76892552
## 251  -2.177186465  -1.4047966   1.103811460   1.91856369   0.76892552
## 252  -2.177186465  -1.4047966   1.103811460   1.91856369   0.76892552
## 253  -2.177186465  -1.4047966   1.103811460   1.91856369   0.76892552
## 254  -2.177186465  -1.4047966   1.103811460   1.91856369   0.76892552
## 255  -2.177186465  -1.4047966   1.103811460   1.91856369   0.76892552
## 256  -2.177186465  -1.4047966   1.103811460   1.91856369   0.76892552
## 257  -0.007725136   4.3359432  -1.183235099   3.05919411  -5.40128716
## 258  -0.007725136   4.3359432  -1.183235099   3.05919411  -5.40128716
## 259  -0.007725136   4.3359432  -1.183235099   3.05919411  -5.40128716
## 260  -0.007725136   4.3359432  -1.183235099   3.05919411  -5.40128716
## 261  -0.007725136   4.3359432  -1.183235099   3.05919411  -5.40128716
## 262  -0.007725136   4.3359432  -1.183235099   3.05919411  -5.40128716
## 263  -0.007725136   4.3359432  -1.183235099   3.05919411  -5.40128716
## 264  -0.007725136   4.3359432  -1.183235099   3.05919411  -5.40128716
## 265   0.108430698   7.3591240   5.404908524  -9.14913337   1.22553767
## 266   0.108430698   7.3591240   5.404908524  -9.14913337   1.22553767
## 267   0.108430698   7.3591240   5.404908524  -9.14913337   1.22553767
## 268   0.108430698   7.3591240   5.404908524  -9.14913337   1.22553767
## 269   0.108430698   7.3591240   5.404908524  -9.14913337   1.22553767
## 270   0.108430698   7.3591240   5.404908524  -9.14913337   1.22553767
## 271   0.108430698   7.3591240   5.404908524  -9.14913337   1.22553767
## 272   0.108430698   7.3591240   5.404908524  -9.14913337   1.22553767
## 273  -8.918713830   1.2319355  -1.635364472   4.41142898  -9.92570756
## 274  -8.918713830   1.2319355  -1.635364472   4.41142898  -9.92570756
## 275  -8.918713830   1.2319355  -1.635364472   4.41142898  -9.92570756
## 276  -8.918713830   1.2319355  -1.635364472   4.41142898  -9.92570756
## 277  -8.918713830   1.2319355  -1.635364472   4.41142898  -9.92570756
## 278  -8.918713830   1.2319355  -1.635364472   4.41142898  -9.92570756
## 279  -8.918713830   1.2319355  -1.635364472   4.41142898  -9.92570756
## 280  -8.918713830   1.2319355  -1.635364472   4.41142898  -9.92570756
## 281 -11.065028202   0.7501683  -2.440591940  -2.90653312 -10.69889402
## 282 -11.065028202   0.7501683  -2.440591940  -2.90653312 -10.69889402
## 283 -11.065028202   0.7501683  -2.440591940  -2.90653312 -10.69889402
## 284 -11.065028202   0.7501683  -2.440591940  -2.90653312 -10.69889402
## 285 -11.065028202   0.7501683  -2.440591940  -2.90653312 -10.69889402
## 286 -11.065028202   0.7501683  -2.440591940  -2.90653312 -10.69889402
## 287 -11.065028202   0.7501683  -2.440591940  -2.90653312 -10.69889402
## 288 -11.065028202   0.7501683  -2.440591940  -2.90653312 -10.69889402
## 289  -2.773153974   7.5919202   0.792106095   1.71711134  -1.86515827
## 290  -2.773153974   7.5919202   0.792106095   1.71711134  -1.86515827
## 291  -2.773153974   7.5919202   0.792106095   1.71711134  -1.86515827
## 292  -2.773153974   7.5919202   0.792106095   1.71711134  -1.86515827
## 293  -2.773153974   7.5919202   0.792106095   1.71711134  -1.86515827
## 294  -2.773153974   7.5919202   0.792106095   1.71711134  -1.86515827
## 295  -2.773153974   7.5919202   0.792106095   1.71711134  -1.86515827
## 296  -2.773153974   7.5919202   0.792106095   1.71711134  -1.86515827
## 297  -2.815437605   0.7419562  -0.155625579  -1.78220514  -0.73949533
## 298  -2.815437605   0.7419562  -0.155625579  -1.78220514  -0.73949533
## 299  -2.815437605   0.7419562  -0.155625579  -1.78220514  -0.73949533
## 300  -2.815437605   0.7419562  -0.155625579  -1.78220514  -0.73949533
## 301  -2.815437605   0.7419562  -0.155625579  -1.78220514  -0.73949533
## 302  -2.815437605   0.7419562  -0.155625579  -1.78220514  -0.73949533
## 303  -2.815437605   0.7419562  -0.155625579  -1.78220514  -0.73949533
## 304  -2.815437605   0.7419562  -0.155625579  -1.78220514  -0.73949533
## 305   3.285555907  -1.6393420   2.059167220  -0.72769380  -0.41513251
## 306   3.285555907  -1.6393420   2.059167220  -0.72769380  -0.41513251
## 307   3.285555907  -1.6393420   2.059167220  -0.72769380  -0.41513251
## 308   3.285555907  -1.6393420   2.059167220  -0.72769380  -0.41513251
## 309   3.285555907  -1.6393420   2.059167220  -0.72769380  -0.41513251
## 310   3.285555907  -1.6393420   2.059167220  -0.72769380  -0.41513251
## 311   3.285555907  -1.6393420   2.059167220  -0.72769380  -0.41513251
## 312   3.285555907  -1.6393420   2.059167220  -0.72769380  -0.41513251
## 313  13.811545840   4.1846352   4.484158575   5.25682012 -12.58498585
## 314  13.811545840   4.1846352   4.484158575   5.25682012 -12.58498585
## 315  13.811545840   4.1846352   4.484158575   5.25682012 -12.58498585
## 316  13.811545840   4.1846352   4.484158575   5.25682012 -12.58498585
## 317  13.811545840   4.1846352   4.484158575   5.25682012 -12.58498585
## 318  13.811545840   4.1846352   4.484158575   5.25682012 -12.58498585
## 319  13.811545840   4.1846352   4.484158575   5.25682012 -12.58498585
## 320  13.811545840   4.1846352   4.484158575   5.25682012 -12.58498585
## 321  -2.831114354   0.9093413   4.027053736  -5.57362586   4.45735718
## 322  -2.831114354   0.9093413   4.027053736  -5.57362586   4.45735718
## 323  -2.831114354   0.9093413   4.027053736  -5.57362586   4.45735718
## 324  -2.831114354   0.9093413   4.027053736  -5.57362586   4.45735718
## 325  -2.831114354   0.9093413   4.027053736  -5.57362586   4.45735718
## 326  -2.831114354   0.9093413   4.027053736  -5.57362586   4.45735718
## 327  -2.831114354   0.9093413   4.027053736  -5.57362586   4.45735718
## 328  -2.831114354   0.9093413   4.027053736  -5.57362586   4.45735718
## 329  -5.426479421  -1.9207644  -2.713885035   0.12895495   2.20402492
## 330  -5.426479421  -1.9207644  -2.713885035   0.12895495   2.20402492
## 331  -5.426479421  -1.9207644  -2.713885035   0.12895495   2.20402492
## 332  -5.426479421  -1.9207644  -2.713885035   0.12895495   2.20402492
## 333  -5.426479421  -1.9207644  -2.713885035   0.12895495   2.20402492
## 334  -5.426479421  -1.9207644  -2.713885035   0.12895495   2.20402492
## 335  -5.426479421  -1.9207644  -2.713885035   0.12895495   2.20402492
## 336  -5.426479421  -1.9207644  -2.713885035   0.12895495   2.20402492
## 337   4.438316693  13.5348172   2.796681162   0.70117730   5.51733069
## 338   4.438316693  13.5348172   2.796681162   0.70117730   5.51733069
## 339   4.438316693  13.5348172   2.796681162   0.70117730   5.51733069
## 340   4.438316693  13.5348172   2.796681162   0.70117730   5.51733069
## 341   4.438316693  13.5348172   2.796681162   0.70117730   5.51733069
## 342   4.438316693  13.5348172   2.796681162   0.70117730   5.51733069
## 343   4.438316693  13.5348172   2.796681162   0.70117730   5.51733069
## 344   4.438316693  13.5348172   2.796681162   0.70117730   5.51733069
## 345  15.154030049  -0.7454380   6.825119492  21.37325744  -6.04262723
## 346  15.154030049  -0.7454380   6.825119492  21.37325744  -6.04262723
## 347  15.154030049  -0.7454380   6.825119492  21.37325744  -6.04262723
## 348  15.154030049  -0.7454380   6.825119492  21.37325744  -6.04262723
## 349  15.154030049  -0.7454380   6.825119492  21.37325744  -6.04262723
## 350  15.154030049  -0.7454380   6.825119492  21.37325744  -6.04262723
## 351  15.154030049  -0.7454380   6.825119492  21.37325744  -6.04262723
## 352  15.154030049  -0.7454380   6.825119492  21.37325744  -6.04262723
## 353  -4.140499130  -6.6834622  -0.376530152   1.83949272  -0.31567149
## 354  -4.140499130  -6.6834622  -0.376530152   1.83949272  -0.31567149
## 355  -4.140499130  -6.6834622  -0.376530152   1.83949272  -0.31567149
## 356  -4.140499130  -6.6834622  -0.376530152   1.83949272  -0.31567149
## 357  -4.140499130  -6.6834622  -0.376530152   1.83949272  -0.31567149
## 358  -4.140499130  -6.6834622  -0.376530152   1.83949272  -0.31567149
## 359  -4.140499130  -6.6834622  -0.376530152   1.83949272  -0.31567149
## 360  -4.140499130  -6.6834622  -0.376530152   1.83949272  -0.31567149
## 361 102.083908795 -45.5206098  11.237132483  27.97232746  31.31357831
## 362 102.083908795 -45.5206098  11.237132483  27.97232746  31.31357831
## 363 102.083908795 -45.5206098  11.237132483  27.97232746  31.31357831
## 364 102.083908795 -45.5206098  11.237132483  27.97232746  31.31357831
## 365 102.083908795 -45.5206098  11.237132483  27.97232746  31.31357831
## 366 102.083908795 -45.5206098  11.237132483  27.97232746  31.31357831
## 367 102.083908795 -45.5206098  11.237132483  27.97232746  31.31357831
## 368 102.083908795 -45.5206098  11.237132483  27.97232746  31.31357831
## 369   4.207385419   0.8239616  -3.527396669  -2.24611618   2.83125377
## 370   4.207385419   0.8239616  -3.527396669  -2.24611618   2.83125377
## 371   4.207385419   0.8239616  -3.527396669  -2.24611618   2.83125377
## 372   4.207385419   0.8239616  -3.527396669  -2.24611618   2.83125377
## 373   4.207385419   0.8239616  -3.527396669  -2.24611618   2.83125377
## 374   4.207385419   0.8239616  -3.527396669  -2.24611618   2.83125377
## 375   4.207385419   0.8239616  -3.527396669  -2.24611618   2.83125377
## 376   4.207385419   0.8239616  -3.527396669  -2.24611618   2.83125377
## 377   8.982436297   2.4261799   1.999860832  -1.42307646  -8.34657135
## 378   8.982436297   2.4261799   1.999860832  -1.42307646  -8.34657135
## 379   8.982436297   2.4261799   1.999860832  -1.42307646  -8.34657135
## 380   8.982436297   2.4261799   1.999860832  -1.42307646  -8.34657135
## 381   8.982436297   2.4261799   1.999860832  -1.42307646  -8.34657135
## 382   8.982436297   2.4261799   1.999860832  -1.42307646  -8.34657135
## 383   8.982436297   2.4261799   1.999860832  -1.42307646  -8.34657135
## 384   8.982436297   2.4261799   1.999860832  -1.42307646  -8.34657135
## 385  -3.741254583  -0.3212417  -1.650034098   0.68887915  -3.08870551
## 386  -3.741254583  -0.3212417  -1.650034098   0.68887915  -3.08870551
## 387  -3.741254583  -0.3212417  -1.650034098   0.68887915  -3.08870551
## 388  -3.741254583  -0.3212417  -1.650034098   0.68887915  -3.08870551
## 389  -3.741254583  -0.3212417  -1.650034098   0.68887915  -3.08870551
## 390  -3.741254583  -0.3212417  -1.650034098   0.68887915  -3.08870551
## 391  -3.741254583  -0.3212417  -1.650034098   0.68887915  -3.08870551
## 392  -3.741254583  -0.3212417  -1.650034098   0.68887915  -3.08870551
## 393  -0.767306877  -1.2091938   0.322829456   0.55655244  -1.52761263
## 394  -0.767306877  -1.2091938   0.322829456   0.55655244  -1.52761263
## 395  -0.767306877  -1.2091938   0.322829456   0.55655244  -1.52761263
## 396  -0.767306877  -1.2091938   0.322829456   0.55655244  -1.52761263
## 397  -0.767306877  -1.2091938   0.322829456   0.55655244  -1.52761263
## 398  -0.767306877  -1.2091938   0.322829456   0.55655244  -1.52761263
## 399  -0.767306877  -1.2091938   0.322829456   0.55655244  -1.52761263
## 400  -0.767306877  -1.2091938   0.322829456   0.55655244  -1.52761263
## 401   7.782084620   4.4870552  12.153153493   3.85654654  -7.01194246
## 402   7.782084620   4.4870552  12.153153493   3.85654654  -7.01194246
## 403   7.782084620   4.4870552  12.153153493   3.85654654  -7.01194246
## 404   7.782084620   4.4870552  12.153153493   3.85654654  -7.01194246
## 405   7.782084620   4.4870552  12.153153493   3.85654654  -7.01194246
## 406   7.782084620   4.4870552  12.153153493   3.85654654  -7.01194246
## 407   7.782084620   4.4870552  12.153153493   3.85654654  -7.01194246
## 408   7.782084620   4.4870552  12.153153493   3.85654654  -7.01194246
## 409   8.784114922   3.0923841   3.187446090  -0.75228859  -7.26743902
## 410   8.784114922   3.0923841   3.187446090  -0.75228859  -7.26743902
## 411   8.784114922   3.0923841   3.187446090  -0.75228859  -7.26743902
## 412   8.784114922   3.0923841   3.187446090  -0.75228859  -7.26743902
## 413   8.784114922   3.0923841   3.187446090  -0.75228859  -7.26743902
## 414   8.784114922   3.0923841   3.187446090  -0.75228859  -7.26743902
## 415   8.784114922   3.0923841   3.187446090  -0.75228859  -7.26743902
## 416   8.784114922   3.0923841   3.187446090  -0.75228859  -7.26743902
## 417   2.536415352  -4.1020261  -3.351325458  -2.02499111  -0.05634211
## 418   2.536415352  -4.1020261  -3.351325458  -2.02499111  -0.05634211
## 419   2.536415352  -4.1020261  -3.351325458  -2.02499111  -0.05634211
## 420   2.536415352  -4.1020261  -3.351325458  -2.02499111  -0.05634211
## 421   2.536415352  -4.1020261  -3.351325458  -2.02499111  -0.05634211
## 422   2.536415352  -4.1020261  -3.351325458  -2.02499111  -0.05634211
## 423   2.536415352  -4.1020261  -3.351325458  -2.02499111  -0.05634211
## 424   2.536415352  -4.1020261  -3.351325458  -2.02499111  -0.05634211
## 425  -4.375991784   3.3592803  -1.117211035   9.22338664   4.24839313
## 426  -4.375991784   3.3592803  -1.117211035   9.22338664   4.24839313
## 427  -4.375991784   3.3592803  -1.117211035   9.22338664   4.24839313
## 428  -4.375991784   3.3592803  -1.117211035   9.22338664   4.24839313
## 429  -4.375991784   3.3592803  -1.117211035   9.22338664   4.24839313
## 430  -4.375991784   3.3592803  -1.117211035   9.22338664   4.24839313
## 431  -4.375991784   3.3592803  -1.117211035   9.22338664   4.24839313
## 432  -4.375991784   3.3592803  -1.117211035   9.22338664   4.24839313
## 433  -5.843832219   1.7160318   4.445454943   1.25040649  -0.88012233
## 434  -5.843832219   1.7160318   4.445454943   1.25040649  -0.88012233
## 435  -5.843832219   1.7160318   4.445454943   1.25040649  -0.88012233
## 436  -5.843832219   1.7160318   4.445454943   1.25040649  -0.88012233
## 437  -5.843832219   1.7160318   4.445454943   1.25040649  -0.88012233
## 438  -5.843832219   1.7160318   4.445454943   1.25040649  -0.88012233
## 439  -5.843832219   1.7160318   4.445454943   1.25040649  -0.88012233
## 440  -5.843832219   1.7160318   4.445454943   1.25040649  -0.88012233
## 441   4.393399925  46.4313694  27.029776344 -20.91915970   7.13589107
## 442   4.393399925  46.4313694  27.029776344 -20.91915970   7.13589107
## 443   4.393399925  46.4313694  27.029776344 -20.91915970   7.13589107
## 444   4.393399925  46.4313694  27.029776344 -20.91915970   7.13589107
## 445   4.393399925  46.4313694  27.029776344 -20.91915970   7.13589107
## 446   4.393399925  46.4313694  27.029776344 -20.91915970   7.13589107
## 447   4.393399925  46.4313694  27.029776344 -20.91915970   7.13589107
## 448   4.393399925  46.4313694  27.029776344 -20.91915970   7.13589107
## 449   2.169418820  -1.4145130   2.581558989  -0.72142131   1.89745582
## 450   2.169418820  -1.4145130   2.581558989  -0.72142131   1.89745582
## 451   2.169418820  -1.4145130   2.581558989  -0.72142131   1.89745582
## 452   2.169418820  -1.4145130   2.581558989  -0.72142131   1.89745582
## 453   2.169418820  -1.4145130   2.581558989  -0.72142131   1.89745582
## 454   2.169418820  -1.4145130   2.581558989  -0.72142131   1.89745582
## 455   2.169418820  -1.4145130   2.581558989  -0.72142131   1.89745582
## 456   2.169418820  -1.4145130   2.581558989  -0.72142131   1.89745582
## 457  -0.111701868   3.8743738  -1.888279623  -8.48702084  -0.80942156
## 458  -0.111701868   3.8743738  -1.888279623  -8.48702084  -0.80942156
## 459  -0.111701868   3.8743738  -1.888279623  -8.48702084  -0.80942156
## 460  -0.111701868   3.8743738  -1.888279623  -8.48702084  -0.80942156
## 461  -0.111701868   3.8743738  -1.888279623  -8.48702084  -0.80942156
## 462  -0.111701868   3.8743738  -1.888279623  -8.48702084  -0.80942156
## 463  -0.111701868   3.8743738  -1.888279623  -8.48702084  -0.80942156
## 464  -0.111701868   3.8743738  -1.888279623  -8.48702084  -0.80942156
## 465  -2.846298573  -5.1431998   2.319066299  -2.88980608  -4.47911955
## 466  -2.846298573  -5.1431998   2.319066299  -2.88980608  -4.47911955
## 467  -2.846298573  -5.1431998   2.319066299  -2.88980608  -4.47911955
## 468  -2.846298573  -5.1431998   2.319066299  -2.88980608  -4.47911955
## 469  -2.846298573  -5.1431998   2.319066299  -2.88980608  -4.47911955
## 470  -2.846298573  -5.1431998   2.319066299  -2.88980608  -4.47911955
## 471  -2.846298573  -5.1431998   2.319066299  -2.88980608  -4.47911955
## 472  -2.846298573  -5.1431998   2.319066299  -2.88980608  -4.47911955
## 473 -20.506409629 -40.3436737 -20.034604824  -0.61298795 -33.50569081
## 474 -20.506409629 -40.3436737 -20.034604824  -0.61298795 -33.50569081
## 475 -20.506409629 -40.3436737 -20.034604824  -0.61298795 -33.50569081
## 476 -20.506409629 -40.3436737 -20.034604824  -0.61298795 -33.50569081
## 477 -20.506409629 -40.3436737 -20.034604824  -0.61298795 -33.50569081
## 478 -20.506409629 -40.3436737 -20.034604824  -0.61298795 -33.50569081
## 479 -20.506409629 -40.3436737 -20.034604824  -0.61298795 -33.50569081
## 480 -20.506409629 -40.3436737 -20.034604824  -0.61298795 -33.50569081
## 481 -10.066066801  15.8575931 -44.520799676  -0.51418742  37.05942132
## 482 -10.066066801  15.8575931 -44.520799676  -0.51418742  37.05942132
## 483 -10.066066801  15.8575931 -44.520799676  -0.51418742  37.05942132
## 484 -10.066066801  15.8575931 -44.520799676  -0.51418742  37.05942132
## 485 -10.066066801  15.8575931 -44.520799676  -0.51418742  37.05942132
## 486 -10.066066801  15.8575931 -44.520799676  -0.51418742  37.05942132
## 487 -10.066066801  15.8575931 -44.520799676  -0.51418742  37.05942132
## 488 -10.066066801  15.8575931 -44.520799676  -0.51418742  37.05942132
## 489  30.217594933  15.5726415 -57.163971717 -41.30134020  41.29574344
## 490  30.217594933  15.5726415 -57.163971717 -41.30134020  41.29574344
## 491  30.217594933  15.5726415 -57.163971717 -41.30134020  41.29574344
## 492  30.217594933  15.5726415 -57.163971717 -41.30134020  41.29574344
## 493  30.217594933  15.5726415 -57.163971717 -41.30134020  41.29574344
## 494  30.217594933  15.5726415 -57.163971717 -41.30134020  41.29574344
## 495  30.217594933  15.5726415 -57.163971717 -41.30134020  41.29574344
## 496  30.217594933  15.5726415 -57.163971717 -41.30134020  41.29574344
## 497  -0.710120318  -0.5134923   1.051259861   1.78803136  -5.55512912
## 498  -0.710120318  -0.5134923   1.051259861   1.78803136  -5.55512912
## 499  -0.710120318  -0.5134923   1.051259861   1.78803136  -5.55512912
## 500  -0.710120318  -0.5134923   1.051259861   1.78803136  -5.55512912
## 501  -0.710120318  -0.5134923   1.051259861   1.78803136  -5.55512912
## 502  -0.710120318  -0.5134923   1.051259861   1.78803136  -5.55512912
## 503  -0.710120318  -0.5134923   1.051259861   1.78803136  -5.55512912
## 504  -0.710120318  -0.5134923   1.051259861   1.78803136  -5.55512912
## 505  48.928869477  50.6430137 -44.875327893  53.41403537 -65.27841951
## 506  48.928869477  50.6430137 -44.875327893  53.41403537 -65.27841951
## 507  48.928869477  50.6430137 -44.875327893  53.41403537 -65.27841951
## 508  48.928869477  50.6430137 -44.875327893  53.41403537 -65.27841951
## 509  48.928869477  50.6430137 -44.875327893  53.41403537 -65.27841951
## 510  48.928869477  50.6430137 -44.875327893  53.41403537 -65.27841951
## 511  48.928869477  50.6430137 -44.875327893  53.41403537 -65.27841951
## 512  48.928869477  50.6430137 -44.875327893  53.41403537 -65.27841951
## 513   2.455259326  -7.1817680  12.515632098 -13.80590778   0.47635435
## 514   2.455259326  -7.1817680  12.515632098 -13.80590778   0.47635435
## 515   2.455259326  -7.1817680  12.515632098 -13.80590778   0.47635435
## 516   2.455259326  -7.1817680  12.515632098 -13.80590778   0.47635435
## 517   2.455259326  -7.1817680  12.515632098 -13.80590778   0.47635435
## 518   2.455259326  -7.1817680  12.515632098 -13.80590778   0.47635435
## 519   2.455259326  -7.1817680  12.515632098 -13.80590778   0.47635435
## 520   2.455259326  -7.1817680  12.515632098 -13.80590778   0.47635435
## 521   1.379739432  -6.8582967   2.507656189  -2.65901941  -0.01210661
## 522   1.379739432  -6.8582967   2.507656189  -2.65901941  -0.01210661
## 523   1.379739432  -6.8582967   2.507656189  -2.65901941  -0.01210661
## 524   1.379739432  -6.8582967   2.507656189  -2.65901941  -0.01210661
## 525   1.379739432  -6.8582967   2.507656189  -2.65901941  -0.01210661
## 526   1.379739432  -6.8582967   2.507656189  -2.65901941  -0.01210661
## 527   1.379739432  -6.8582967   2.507656189  -2.65901941  -0.01210661
## 528   1.379739432  -6.8582967   2.507656189  -2.65901941  -0.01210661
## 529   3.705671103  -4.7999835  18.758645476   8.49163520   0.65608034
## 530   3.705671103  -4.7999835  18.758645476   8.49163520   0.65608034
## 531   3.705671103  -4.7999835  18.758645476   8.49163520   0.65608034
## 532   3.705671103  -4.7999835  18.758645476   8.49163520   0.65608034
## 533   3.705671103  -4.7999835  18.758645476   8.49163520   0.65608034
## 534   3.705671103  -4.7999835  18.758645476   8.49163520   0.65608034
## 535   3.705671103  -4.7999835  18.758645476   8.49163520   0.65608034
## 536   3.705671103  -4.7999835  18.758645476   8.49163520   0.65608034
## 537  -6.292550911   0.8585297  -0.885967791  -1.82294359  -1.79604521
## 538  -6.292550911   0.8585297  -0.885967791  -1.82294359  -1.79604521
## 539  -6.292550911   0.8585297  -0.885967791  -1.82294359  -1.79604521
## 540  -6.292550911   0.8585297  -0.885967791  -1.82294359  -1.79604521
## 541  -6.292550911   0.8585297  -0.885967791  -1.82294359  -1.79604521
## 542  -6.292550911   0.8585297  -0.885967791  -1.82294359  -1.79604521
## 543  -6.292550911   0.8585297  -0.885967791  -1.82294359  -1.79604521
## 544  -6.292550911   0.8585297  -0.885967791  -1.82294359  -1.79604521
## 545   2.646673138  -0.3050123   1.738708654  -2.38338529  -0.88873057
## 546   2.646673138  -0.3050123   1.738708654  -2.38338529  -0.88873057
## 547   2.646673138  -0.3050123   1.738708654  -2.38338529  -0.88873057
## 548   2.646673138  -0.3050123   1.738708654  -2.38338529  -0.88873057
## 549   2.646673138  -0.3050123   1.738708654  -2.38338529  -0.88873057
## 550   2.646673138  -0.3050123   1.738708654  -2.38338529  -0.88873057
## 551   2.646673138  -0.3050123   1.738708654  -2.38338529  -0.88873057
## 552   2.646673138  -0.3050123   1.738708654  -2.38338529  -0.88873057
## 553   6.497650248  -9.1461871  -6.589621883 -10.35183184  -8.12888263
## 554   6.497650248  -9.1461871  -6.589621883 -10.35183184  -8.12888263
## 555   6.497650248  -9.1461871  -6.589621883 -10.35183184  -8.12888263
## 556   6.497650248  -9.1461871  -6.589621883 -10.35183184  -8.12888263
## 557   6.497650248  -9.1461871  -6.589621883 -10.35183184  -8.12888263
## 558   6.497650248  -9.1461871  -6.589621883 -10.35183184  -8.12888263
## 559   6.497650248  -9.1461871  -6.589621883 -10.35183184  -8.12888263
## 560   6.497650248  -9.1461871  -6.589621883 -10.35183184  -8.12888263
## 561  -3.407340102  -0.3731661  -5.677354195  -6.42698142  -5.34306597
## 562  -3.407340102  -0.3731661  -5.677354195  -6.42698142  -5.34306597
## 563  -3.407340102  -0.3731661  -5.677354195  -6.42698142  -5.34306597
## 564  -3.407340102  -0.3731661  -5.677354195  -6.42698142  -5.34306597
## 565  -3.407340102  -0.3731661  -5.677354195  -6.42698142  -5.34306597
## 566  -3.407340102  -0.3731661  -5.677354195  -6.42698142  -5.34306597
## 567  -3.407340102  -0.3731661  -5.677354195  -6.42698142  -5.34306597
## 568  -3.407340102  -0.3731661  -5.677354195  -6.42698142  -5.34306597
## 569  -1.232396250   1.5848090   1.806175182   0.90910866  -7.41489743
## 570  -1.232396250   1.5848090   1.806175182   0.90910866  -7.41489743
## 571  -1.232396250   1.5848090   1.806175182   0.90910866  -7.41489743
## 572  -1.232396250   1.5848090   1.806175182   0.90910866  -7.41489743
## 573  -1.232396250   1.5848090   1.806175182   0.90910866  -7.41489743
## 574  -1.232396250   1.5848090   1.806175182   0.90910866  -7.41489743
## 575  -1.232396250   1.5848090   1.806175182   0.90910866  -7.41489743
## 576  -1.232396250   1.5848090   1.806175182   0.90910866  -7.41489743
## 577   0.066839628  -1.4484169   1.545861491   5.55777366  -1.63369161
## 578   0.066839628  -1.4484169   1.545861491   5.55777366  -1.63369161
## 579   0.066839628  -1.4484169   1.545861491   5.55777366  -1.63369161
## 580   0.066839628  -1.4484169   1.545861491   5.55777366  -1.63369161
## 581   0.066839628  -1.4484169   1.545861491   5.55777366  -1.63369161
## 582   0.066839628  -1.4484169   1.545861491   5.55777366  -1.63369161
## 583   0.066839628  -1.4484169   1.545861491   5.55777366  -1.63369161
## 584   0.066839628  -1.4484169   1.545861491   5.55777366  -1.63369161
## 585 -14.062033812  18.7127646  -6.365764684  14.20110210  16.40711825
## 586 -14.062033812  18.7127646  -6.365764684  14.20110210  16.40711825
## 587 -14.062033812  18.7127646  -6.365764684  14.20110210  16.40711825
## 588 -14.062033812  18.7127646  -6.365764684  14.20110210  16.40711825
## 589 -14.062033812  18.7127646  -6.365764684  14.20110210  16.40711825
## 590 -14.062033812  18.7127646  -6.365764684  14.20110210  16.40711825
## 591 -14.062033812  18.7127646  -6.365764684  14.20110210  16.40711825
## 592 -14.062033812  18.7127646  -6.365764684  14.20110210  16.40711825
## 593 -24.016620714 -26.6990999  68.611987438  44.43689022  61.59914391
## 594 -24.016620714 -26.6990999  68.611987438  44.43689022  61.59914391
## 595 -24.016620714 -26.6990999  68.611987438  44.43689022  61.59914391
## 596 -24.016620714 -26.6990999  68.611987438  44.43689022  61.59914391
## 597 -24.016620714 -26.6990999  68.611987438  44.43689022  61.59914391
## 598 -24.016620714 -26.6990999  68.611987438  44.43689022  61.59914391
## 599 -24.016620714 -26.6990999  68.611987438  44.43689022  61.59914391
## 600 -24.016620714 -26.6990999  68.611987438  44.43689022  61.59914391
## 601  -3.067110120   2.6895692   0.934986007   0.70866983  -1.71481430
## 602  -3.067110120   2.6895692   0.934986007   0.70866983  -1.71481430
## 603  -3.067110120   2.6895692   0.934986007   0.70866983  -1.71481430
## 604  -3.067110120   2.6895692   0.934986007   0.70866983  -1.71481430
## 605  -3.067110120   2.6895692   0.934986007   0.70866983  -1.71481430
## 606  -3.067110120   2.6895692   0.934986007   0.70866983  -1.71481430
## 607  -3.067110120   2.6895692   0.934986007   0.70866983  -1.71481430
## 608  -3.067110120   2.6895692   0.934986007   0.70866983  -1.71481430
## 609   2.384930403  -2.8058364   1.359861886  -4.96071665   3.29861892
## 610   2.384930403  -2.8058364   1.359861886  -4.96071665   3.29861892
## 611   2.384930403  -2.8058364   1.359861886  -4.96071665   3.29861892
## 612   2.384930403  -2.8058364   1.359861886  -4.96071665   3.29861892
## 613   2.384930403  -2.8058364   1.359861886  -4.96071665   3.29861892
## 614   2.384930403  -2.8058364   1.359861886  -4.96071665   3.29861892
## 615   2.384930403  -2.8058364   1.359861886  -4.96071665   3.29861892
## 616   2.384930403  -2.8058364   1.359861886  -4.96071665   3.29861892
## 617   7.247842447  -1.5417096   0.087076165  -1.08360817  -5.69820505
## 618   7.247842447  -1.5417096   0.087076165  -1.08360817  -5.69820505
## 619   7.247842447  -1.5417096   0.087076165  -1.08360817  -5.69820505
## 620   7.247842447  -1.5417096   0.087076165  -1.08360817  -5.69820505
## 621   7.247842447  -1.5417096   0.087076165  -1.08360817  -5.69820505
## 622   7.247842447  -1.5417096   0.087076165  -1.08360817  -5.69820505
## 623   7.247842447  -1.5417096   0.087076165  -1.08360817  -5.69820505
## 624   7.247842447  -1.5417096   0.087076165  -1.08360817  -5.69820505
## 625   3.854161820   7.4064217   4.994447395  -1.18863901  -5.83189344
## 626   3.854161820   7.4064217   4.994447395  -1.18863901  -5.83189344
## 627   3.854161820   7.4064217   4.994447395  -1.18863901  -5.83189344
## 628   3.854161820   7.4064217   4.994447395  -1.18863901  -5.83189344
## 629   3.854161820   7.4064217   4.994447395  -1.18863901  -5.83189344
## 630   3.854161820   7.4064217   4.994447395  -1.18863901  -5.83189344
## 631   3.854161820   7.4064217   4.994447395  -1.18863901  -5.83189344
## 632   3.854161820   7.4064217   4.994447395  -1.18863901  -5.83189344
## 633   3.889901385  -2.1670846  -1.102975641  -7.27807796  -5.34758855
## 634   3.889901385  -2.1670846  -1.102975641  -7.27807796  -5.34758855
## 635   3.889901385  -2.1670846  -1.102975641  -7.27807796  -5.34758855
## 636   3.889901385  -2.1670846  -1.102975641  -7.27807796  -5.34758855
## 637   3.889901385  -2.1670846  -1.102975641  -7.27807796  -5.34758855
## 638   3.889901385  -2.1670846  -1.102975641  -7.27807796  -5.34758855
## 639   3.889901385  -2.1670846  -1.102975641  -7.27807796  -5.34758855
## 640   3.889901385  -2.1670846  -1.102975641  -7.27807796  -5.34758855
## 641  -6.278249927  24.3178350  48.509613050 -39.73198617   2.10284763
## 642  -6.278249927  24.3178350  48.509613050 -39.73198617   2.10284763
## 643  -6.278249927  24.3178350  48.509613050 -39.73198617   2.10284763
## 644  -6.278249927  24.3178350  48.509613050 -39.73198617   2.10284763
## 645  -6.278249927  24.3178350  48.509613050 -39.73198617   2.10284763
## 646  -6.278249927  24.3178350  48.509613050 -39.73198617   2.10284763
## 647  -6.278249927  24.3178350  48.509613050 -39.73198617   2.10284763
## 648  -6.278249927  24.3178350  48.509613050 -39.73198617   2.10284763
## 649   4.283005805   3.0520822   4.323873213  -4.45011558  -2.04822162
## 650   4.283005805   3.0520822   4.323873213  -4.45011558  -2.04822162
## 651   4.283005805   3.0520822   4.323873213  -4.45011558  -2.04822162
## 652   4.283005805   3.0520822   4.323873213  -4.45011558  -2.04822162
## 653   4.283005805   3.0520822   4.323873213  -4.45011558  -2.04822162
## 654   4.283005805   3.0520822   4.323873213  -4.45011558  -2.04822162
## 655   4.283005805   3.0520822   4.323873213  -4.45011558  -2.04822162
## 656   4.283005805   3.0520822   4.323873213  -4.45011558  -2.04822162
## 657  11.362589687   7.9110300  16.943488232   2.20532781 -11.35123585
## 658  11.362589687   7.9110300  16.943488232   2.20532781 -11.35123585
## 659  11.362589687   7.9110300  16.943488232   2.20532781 -11.35123585
## 660  11.362589687   7.9110300  16.943488232   2.20532781 -11.35123585
## 661  11.362589687   7.9110300  16.943488232   2.20532781 -11.35123585
## 662  11.362589687   7.9110300  16.943488232   2.20532781 -11.35123585
## 663  11.362589687   7.9110300  16.943488232   2.20532781 -11.35123585
## 664  11.362589687   7.9110300  16.943488232   2.20532781 -11.35123585
## 665  13.988920127  13.8115902  39.513847188  11.30727396 -37.07277687
## 666  13.988920127  13.8115902  39.513847188  11.30727396 -37.07277687
## 667  13.988920127  13.8115902  39.513847188  11.30727396 -37.07277687
## 668  13.988920127  13.8115902  39.513847188  11.30727396 -37.07277687
## 669  13.988920127  13.8115902  39.513847188  11.30727396 -37.07277687
## 670  13.988920127  13.8115902  39.513847188  11.30727396 -37.07277687
## 671  13.988920127  13.8115902  39.513847188  11.30727396 -37.07277687
## 672  13.988920127  13.8115902  39.513847188  11.30727396 -37.07277687
## 673  -1.449534842  -0.2352228  -0.657667751  -4.00504173  -1.28054064
## 674  -1.449534842  -0.2352228  -0.657667751  -4.00504173  -1.28054064
## 675  -1.449534842  -0.2352228  -0.657667751  -4.00504173  -1.28054064
## 676  -1.449534842  -0.2352228  -0.657667751  -4.00504173  -1.28054064
## 677  -1.449534842  -0.2352228  -0.657667751  -4.00504173  -1.28054064
## 678  -1.449534842  -0.2352228  -0.657667751  -4.00504173  -1.28054064
## 679  -1.449534842  -0.2352228  -0.657667751  -4.00504173  -1.28054064
## 680  -1.449534842  -0.2352228  -0.657667751  -4.00504173  -1.28054064
## 681  -3.665194623  -0.9199016  -4.974398082   6.23681150  -7.35792010
## 682  -3.665194623  -0.9199016  -4.974398082   6.23681150  -7.35792010
## 683  -3.665194623  -0.9199016  -4.974398082   6.23681150  -7.35792010
## 684  -3.665194623  -0.9199016  -4.974398082   6.23681150  -7.35792010
## 685  -3.665194623  -0.9199016  -4.974398082   6.23681150  -7.35792010
## 686  -3.665194623  -0.9199016  -4.974398082   6.23681150  -7.35792010
## 687  -3.665194623  -0.9199016  -4.974398082   6.23681150  -7.35792010
## 688  -3.665194623  -0.9199016  -4.974398082   6.23681150  -7.35792010
## 689   0.453505754  -4.0405000   2.681226361  -0.25522063   0.45112197
## 690   0.453505754  -4.0405000   2.681226361  -0.25522063   0.45112197
## 691   0.453505754  -4.0405000   2.681226361  -0.25522063   0.45112197
## 692   0.453505754  -4.0405000   2.681226361  -0.25522063   0.45112197
## 693   0.453505754  -4.0405000   2.681226361  -0.25522063   0.45112197
## 694   0.453505754  -4.0405000   2.681226361  -0.25522063   0.45112197
## 695   0.453505754  -4.0405000   2.681226361  -0.25522063   0.45112197
## 696   0.453505754  -4.0405000   2.681226361  -0.25522063   0.45112197
## 697   7.650290641 -15.4582985   6.482815338  10.31044805  -9.64940967
## 698   7.650290641 -15.4582985   6.482815338  10.31044805  -9.64940967
## 699   7.650290641 -15.4582985   6.482815338  10.31044805  -9.64940967
## 700   7.650290641 -15.4582985   6.482815338  10.31044805  -9.64940967
## 701   7.650290641 -15.4582985   6.482815338  10.31044805  -9.64940967
## 702   7.650290641 -15.4582985   6.482815338  10.31044805  -9.64940967
## 703   7.650290641 -15.4582985   6.482815338  10.31044805  -9.64940967
## 704   7.650290641 -15.4582985   6.482815338  10.31044805  -9.64940967
## 705  -0.349418630   1.0200466   4.334277880  -0.60735820  -2.27387110
## 706  -0.349418630   1.0200466   4.334277880  -0.60735820  -2.27387110
## 707  -0.349418630   1.0200466   4.334277880  -0.60735820  -2.27387110
## 708  -0.349418630   1.0200466   4.334277880  -0.60735820  -2.27387110
## 709  -0.349418630   1.0200466   4.334277880  -0.60735820  -2.27387110
## 710  -0.349418630   1.0200466   4.334277880  -0.60735820  -2.27387110
## 711  -0.349418630   1.0200466   4.334277880  -0.60735820  -2.27387110
## 712  -0.349418630   1.0200466   4.334277880  -0.60735820  -2.27387110
## 713  -0.324791517   0.2418451   0.856221713   2.00695882  -5.48837424
## 714  -0.324791517   0.2418451   0.856221713   2.00695882  -5.48837424
## 715  -0.324791517   0.2418451   0.856221713   2.00695882  -5.48837424
## 716  -0.324791517   0.2418451   0.856221713   2.00695882  -5.48837424
## 717  -0.324791517   0.2418451   0.856221713   2.00695882  -5.48837424
## 718  -0.324791517   0.2418451   0.856221713   2.00695882  -5.48837424
## 719  -0.324791517   0.2418451   0.856221713   2.00695882  -5.48837424
## 720  -0.324791517   0.2418451   0.856221713   2.00695882  -5.48837424
## 721  -4.397024218  -1.4858118   2.851450895  -1.67913073   2.40105784
## 722  -4.397024218  -1.4858118   2.851450895  -1.67913073   2.40105784
## 723  -4.397024218  -1.4858118   2.851450895  -1.67913073   2.40105784
## 724  -4.397024218  -1.4858118   2.851450895  -1.67913073   2.40105784
## 725  -4.397024218  -1.4858118   2.851450895  -1.67913073   2.40105784
## 726  -4.397024218  -1.4858118   2.851450895  -1.67913073   2.40105784
## 727  -4.397024218  -1.4858118   2.851450895  -1.67913073   2.40105784
## 728  -4.397024218  -1.4858118   2.851450895  -1.67913073   2.40105784
## 729  -2.235715106  11.0489417  25.123449920  11.76937131   5.70028194
## 730  -2.235715106  11.0489417  25.123449920  11.76937131   5.70028194
## 731  -2.235715106  11.0489417  25.123449920  11.76937131   5.70028194
## 732  -2.235715106  11.0489417  25.123449920  11.76937131   5.70028194
## 733  -2.235715106  11.0489417  25.123449920  11.76937131   5.70028194
## 734  -2.235715106  11.0489417  25.123449920  11.76937131   5.70028194
## 735  -2.235715106  11.0489417  25.123449920  11.76937131   5.70028194
## 736  -2.235715106  11.0489417  25.123449920  11.76937131   5.70028194
## 737  -9.520867719   0.1224716   1.348518073  -0.15567193   0.03030334
## 738  -9.520867719   0.1224716   1.348518073  -0.15567193   0.03030334
## 739  -9.520867719   0.1224716   1.348518073  -0.15567193   0.03030334
## 740  -9.520867719   0.1224716   1.348518073  -0.15567193   0.03030334
## 741  -9.520867719   0.1224716   1.348518073  -0.15567193   0.03030334
## 742  -9.520867719   0.1224716   1.348518073  -0.15567193   0.03030334
## 743  -9.520867719   0.1224716   1.348518073  -0.15567193   0.03030334
## 744  -9.520867719   0.1224716   1.348518073  -0.15567193   0.03030334
## 745  -4.306063918  -2.1079350   2.227035323  -5.89819630   0.02554444
## 746  -4.306063918  -2.1079350   2.227035323  -5.89819630   0.02554444
## 747  -4.306063918  -2.1079350   2.227035323  -5.89819630   0.02554444
## 748  -4.306063918  -2.1079350   2.227035323  -5.89819630   0.02554444
## 749  -4.306063918  -2.1079350   2.227035323  -5.89819630   0.02554444
## 750  -4.306063918  -2.1079350   2.227035323  -5.89819630   0.02554444
## 751  -4.306063918  -2.1079350   2.227035323  -5.89819630   0.02554444
## 752  -4.306063918  -2.1079350   2.227035323  -5.89819630   0.02554444
## 753  -0.012633038  -3.8963256   1.763771633   3.25221563  -5.32637637
## 754  -0.012633038  -3.8963256   1.763771633   3.25221563  -5.32637637
## 755  -0.012633038  -3.8963256   1.763771633   3.25221563  -5.32637637
## 756  -0.012633038  -3.8963256   1.763771633   3.25221563  -5.32637637
## 757  -0.012633038  -3.8963256   1.763771633   3.25221563  -5.32637637
## 758  -0.012633038  -3.8963256   1.763771633   3.25221563  -5.32637637
## 759  -0.012633038  -3.8963256   1.763771633   3.25221563  -5.32637637
## 760  -0.012633038  -3.8963256   1.763771633   3.25221563  -5.32637637
## 761  -0.630761824  -9.5583657   1.525303258  -3.80777784   0.79473703
## 762  -0.630761824  -9.5583657   1.525303258  -3.80777784   0.79473703
## 763  -0.630761824  -9.5583657   1.525303258  -3.80777784   0.79473703
## 764  -0.630761824  -9.5583657   1.525303258  -3.80777784   0.79473703
## 765  -0.630761824  -9.5583657   1.525303258  -3.80777784   0.79473703
## 766  -0.630761824  -9.5583657   1.525303258  -3.80777784   0.79473703
## 767  -0.630761824  -9.5583657   1.525303258  -3.80777784   0.79473703
## 768  -0.630761824  -9.5583657   1.525303258  -3.80777784   0.79473703
## 769   2.530929343  -2.4020978  -0.467509547   1.87997836  -3.27778848
## 770   2.530929343  -2.4020978  -0.467509547   1.87997836  -3.27778848
## 771   2.530929343  -2.4020978  -0.467509547   1.87997836  -3.27778848
## 772   2.530929343  -2.4020978  -0.467509547   1.87997836  -3.27778848
## 773   2.530929343  -2.4020978  -0.467509547   1.87997836  -3.27778848
## 774   2.530929343  -2.4020978  -0.467509547   1.87997836  -3.27778848
## 775   2.530929343  -2.4020978  -0.467509547   1.87997836  -3.27778848
## 776   2.530929343  -2.4020978  -0.467509547   1.87997836  -3.27778848
## 777   1.340305152  -7.0116062   4.523766550  11.16269335  -0.75002457
## 778   1.340305152  -7.0116062   4.523766550  11.16269335  -0.75002457
## 779   1.340305152  -7.0116062   4.523766550  11.16269335  -0.75002457
## 780   1.340305152  -7.0116062   4.523766550  11.16269335  -0.75002457
## 781   1.340305152  -7.0116062   4.523766550  11.16269335  -0.75002457
## 782   1.340305152  -7.0116062   4.523766550  11.16269335  -0.75002457
## 783   1.340305152  -7.0116062   4.523766550  11.16269335  -0.75002457
## 784   1.340305152  -7.0116062   4.523766550  11.16269335  -0.75002457
## 785 -24.274208377 -21.8535722 -40.530373716  -9.36862309  12.75839177
## 786 -24.274208377 -21.8535722 -40.530373716  -9.36862309  12.75839177
## 787 -24.274208377 -21.8535722 -40.530373716  -9.36862309  12.75839177
## 788 -24.274208377 -21.8535722 -40.530373716  -9.36862309  12.75839177
## 789 -24.274208377 -21.8535722 -40.530373716  -9.36862309  12.75839177
## 790 -24.274208377 -21.8535722 -40.530373716  -9.36862309  12.75839177
## 791 -24.274208377 -21.8535722 -40.530373716  -9.36862309  12.75839177
## 792 -24.274208377 -21.8535722 -40.530373716  -9.36862309  12.75839177
## 793   4.008469488  -9.5951385  -0.322720026  -2.25882160 -13.36622464
## 794   4.008469488  -9.5951385  -0.322720026  -2.25882160 -13.36622464
## 795   4.008469488  -9.5951385  -0.322720026  -2.25882160 -13.36622464
## 796   4.008469488  -9.5951385  -0.322720026  -2.25882160 -13.36622464
## 797   4.008469488  -9.5951385  -0.322720026  -2.25882160 -13.36622464
## 798   4.008469488  -9.5951385  -0.322720026  -2.25882160 -13.36622464
## 799   4.008469488  -9.5951385  -0.322720026  -2.25882160 -13.36622464
##        PC20_score  PC21_score  PC22_score  PC23_score  PC24_score   PC25_score
## 1    -1.547672885  -2.6887549  -2.3618082   1.0937312  -6.1366231   1.21458612
## 2    -1.547672885  -2.6887549  -2.3618082   1.0937312  -6.1366231   1.21458612
## 3    -1.547672885  -2.6887549  -2.3618082   1.0937312  -6.1366231   1.21458612
## 4    -1.547672885  -2.6887549  -2.3618082   1.0937312  -6.1366231   1.21458612
## 5    -1.547672885  -2.6887549  -2.3618082   1.0937312  -6.1366231   1.21458612
## 6    -1.547672885  -2.6887549  -2.3618082   1.0937312  -6.1366231   1.21458612
## 7    -1.547672885  -2.6887549  -2.3618082   1.0937312  -6.1366231   1.21458612
## 8    -1.547672885  -2.6887549  -2.3618082   1.0937312  -6.1366231   1.21458612
## 9     5.796251576  -6.4208035  -1.1566844  -2.4458049  -5.4885156  -1.23960636
## 10    5.796251576  -6.4208035  -1.1566844  -2.4458049  -5.4885156  -1.23960636
## 11    5.796251576  -6.4208035  -1.1566844  -2.4458049  -5.4885156  -1.23960636
## 12    5.796251576  -6.4208035  -1.1566844  -2.4458049  -5.4885156  -1.23960636
## 13    5.796251576  -6.4208035  -1.1566844  -2.4458049  -5.4885156  -1.23960636
## 14    5.796251576  -6.4208035  -1.1566844  -2.4458049  -5.4885156  -1.23960636
## 15    5.796251576  -6.4208035  -1.1566844  -2.4458049  -5.4885156  -1.23960636
## 16    5.796251576  -6.4208035  -1.1566844  -2.4458049  -5.4885156  -1.23960636
## 17    2.307138802  -4.0311037 -12.1507679   6.8707986 -41.4745682  -1.96035802
## 18    2.307138802  -4.0311037 -12.1507679   6.8707986 -41.4745682  -1.96035802
## 19    2.307138802  -4.0311037 -12.1507679   6.8707986 -41.4745682  -1.96035802
## 20    2.307138802  -4.0311037 -12.1507679   6.8707986 -41.4745682  -1.96035802
## 21    2.307138802  -4.0311037 -12.1507679   6.8707986 -41.4745682  -1.96035802
## 22    2.307138802  -4.0311037 -12.1507679   6.8707986 -41.4745682  -1.96035802
## 23    2.307138802  -4.0311037 -12.1507679   6.8707986 -41.4745682  -1.96035802
## 24    2.307138802  -4.0311037 -12.1507679   6.8707986 -41.4745682  -1.96035802
## 25    4.019175644  -9.8900002  15.0748475  -5.9174091  -1.6603660  -2.46125075
## 26    4.019175644  -9.8900002  15.0748475  -5.9174091  -1.6603660  -2.46125075
## 27    4.019175644  -9.8900002  15.0748475  -5.9174091  -1.6603660  -2.46125075
## 28    4.019175644  -9.8900002  15.0748475  -5.9174091  -1.6603660  -2.46125075
## 29    4.019175644  -9.8900002  15.0748475  -5.9174091  -1.6603660  -2.46125075
## 30    4.019175644  -9.8900002  15.0748475  -5.9174091  -1.6603660  -2.46125075
## 31    4.019175644  -9.8900002  15.0748475  -5.9174091  -1.6603660  -2.46125075
## 32    4.019175644  -9.8900002  15.0748475  -5.9174091  -1.6603660  -2.46125075
## 33    6.415844816  -5.7447523  -9.8857469  -0.6116783 -10.3087485   0.95367200
## 34    6.415844816  -5.7447523  -9.8857469  -0.6116783 -10.3087485   0.95367200
## 35    6.415844816  -5.7447523  -9.8857469  -0.6116783 -10.3087485   0.95367200
## 36    6.415844816  -5.7447523  -9.8857469  -0.6116783 -10.3087485   0.95367200
## 37    6.415844816  -5.7447523  -9.8857469  -0.6116783 -10.3087485   0.95367200
## 38    6.415844816  -5.7447523  -9.8857469  -0.6116783 -10.3087485   0.95367200
## 39    6.415844816  -5.7447523  -9.8857469  -0.6116783 -10.3087485   0.95367200
## 40    6.415844816  -5.7447523  -9.8857469  -0.6116783 -10.3087485   0.95367200
## 41    8.753793941  -3.2667488  -3.6507281   7.3200849   6.5021354  -5.64017119
## 42    8.753793941  -3.2667488  -3.6507281   7.3200849   6.5021354  -5.64017119
## 43    8.753793941  -3.2667488  -3.6507281   7.3200849   6.5021354  -5.64017119
## 44    8.753793941  -3.2667488  -3.6507281   7.3200849   6.5021354  -5.64017119
## 45    8.753793941  -3.2667488  -3.6507281   7.3200849   6.5021354  -5.64017119
## 46    8.753793941  -3.2667488  -3.6507281   7.3200849   6.5021354  -5.64017119
## 47    8.753793941  -3.2667488  -3.6507281   7.3200849   6.5021354  -5.64017119
## 48    8.753793941  -3.2667488  -3.6507281   7.3200849   6.5021354  -5.64017119
## 49  -30.563119960 -20.2588914   7.2601444  16.8449438  55.6531913  15.49032981
## 50  -30.563119960 -20.2588914   7.2601444  16.8449438  55.6531913  15.49032981
## 51  -30.563119960 -20.2588914   7.2601444  16.8449438  55.6531913  15.49032981
## 52  -30.563119960 -20.2588914   7.2601444  16.8449438  55.6531913  15.49032981
## 53  -30.563119960 -20.2588914   7.2601444  16.8449438  55.6531913  15.49032981
## 54  -30.563119960 -20.2588914   7.2601444  16.8449438  55.6531913  15.49032981
## 55  -30.563119960 -20.2588914   7.2601444  16.8449438  55.6531913  15.49032981
## 56  -30.563119960 -20.2588914   7.2601444  16.8449438  55.6531913  15.49032981
## 57   14.587714755   4.4905511  -6.1875828  -2.4473398   0.7467003 -12.42319089
## 58   14.587714755   4.4905511  -6.1875828  -2.4473398   0.7467003 -12.42319089
## 59   14.587714755   4.4905511  -6.1875828  -2.4473398   0.7467003 -12.42319089
## 60   14.587714755   4.4905511  -6.1875828  -2.4473398   0.7467003 -12.42319089
## 61   14.587714755   4.4905511  -6.1875828  -2.4473398   0.7467003 -12.42319089
## 62   14.587714755   4.4905511  -6.1875828  -2.4473398   0.7467003 -12.42319089
## 63   14.587714755   4.4905511  -6.1875828  -2.4473398   0.7467003 -12.42319089
## 64   14.587714755   4.4905511  -6.1875828  -2.4473398   0.7467003 -12.42319089
## 65    9.068048041   0.7881767  -3.3027298  -2.0265398 -10.8866004   8.55042138
## 66    9.068048041   0.7881767  -3.3027298  -2.0265398 -10.8866004   8.55042138
## 67    9.068048041   0.7881767  -3.3027298  -2.0265398 -10.8866004   8.55042138
## 68    9.068048041   0.7881767  -3.3027298  -2.0265398 -10.8866004   8.55042138
## 69    9.068048041   0.7881767  -3.3027298  -2.0265398 -10.8866004   8.55042138
## 70    9.068048041   0.7881767  -3.3027298  -2.0265398 -10.8866004   8.55042138
## 71    9.068048041   0.7881767  -3.3027298  -2.0265398 -10.8866004   8.55042138
## 72    9.068048041   0.7881767  -3.3027298  -2.0265398 -10.8866004   8.55042138
## 73    1.726874955  -1.2353986  -7.7994027  11.5432294 -15.6767147 -12.40527302
## 74    1.726874955  -1.2353986  -7.7994027  11.5432294 -15.6767147 -12.40527302
## 75    1.726874955  -1.2353986  -7.7994027  11.5432294 -15.6767147 -12.40527302
## 76    1.726874955  -1.2353986  -7.7994027  11.5432294 -15.6767147 -12.40527302
## 77    1.726874955  -1.2353986  -7.7994027  11.5432294 -15.6767147 -12.40527302
## 78    1.726874955  -1.2353986  -7.7994027  11.5432294 -15.6767147 -12.40527302
## 79    1.726874955  -1.2353986  -7.7994027  11.5432294 -15.6767147 -12.40527302
## 80    1.726874955  -1.2353986  -7.7994027  11.5432294 -15.6767147 -12.40527302
## 81   -1.724166235  -4.9175125  -2.1959972  -7.1787033   0.4755988  -2.52547026
## 82   -1.724166235  -4.9175125  -2.1959972  -7.1787033   0.4755988  -2.52547026
## 83   -1.724166235  -4.9175125  -2.1959972  -7.1787033   0.4755988  -2.52547026
## 84   -1.724166235  -4.9175125  -2.1959972  -7.1787033   0.4755988  -2.52547026
## 85   -1.724166235  -4.9175125  -2.1959972  -7.1787033   0.4755988  -2.52547026
## 86   -1.724166235  -4.9175125  -2.1959972  -7.1787033   0.4755988  -2.52547026
## 87   -1.724166235  -4.9175125  -2.1959972  -7.1787033   0.4755988  -2.52547026
## 88   -1.724166235  -4.9175125  -2.1959972  -7.1787033   0.4755988  -2.52547026
## 89   -4.426626569   1.6130078   2.2269879  19.4421877 -36.5039613  -4.78446455
## 90   -4.426626569   1.6130078   2.2269879  19.4421877 -36.5039613  -4.78446455
## 91   -4.426626569   1.6130078   2.2269879  19.4421877 -36.5039613  -4.78446455
## 92   -4.426626569   1.6130078   2.2269879  19.4421877 -36.5039613  -4.78446455
## 93   -4.426626569   1.6130078   2.2269879  19.4421877 -36.5039613  -4.78446455
## 94   -4.426626569   1.6130078   2.2269879  19.4421877 -36.5039613  -4.78446455
## 95   -4.426626569   1.6130078   2.2269879  19.4421877 -36.5039613  -4.78446455
## 96   -4.426626569   1.6130078   2.2269879  19.4421877 -36.5039613  -4.78446455
## 97    0.096915857  -6.7059656   0.3089100  -2.0927892 -21.8264114  -7.17961616
## 98    0.096915857  -6.7059656   0.3089100  -2.0927892 -21.8264114  -7.17961616
## 99    0.096915857  -6.7059656   0.3089100  -2.0927892 -21.8264114  -7.17961616
## 100   0.096915857  -6.7059656   0.3089100  -2.0927892 -21.8264114  -7.17961616
## 101   0.096915857  -6.7059656   0.3089100  -2.0927892 -21.8264114  -7.17961616
## 102   0.096915857  -6.7059656   0.3089100  -2.0927892 -21.8264114  -7.17961616
## 103   0.096915857  -6.7059656   0.3089100  -2.0927892 -21.8264114  -7.17961616
## 104   0.096915857  -6.7059656   0.3089100  -2.0927892 -21.8264114  -7.17961616
## 105   4.894286240  -5.4707645  -1.1731439   3.8490571  -0.5699697  -6.88063970
## 106   4.894286240  -5.4707645  -1.1731439   3.8490571  -0.5699697  -6.88063970
## 107   4.894286240  -5.4707645  -1.1731439   3.8490571  -0.5699697  -6.88063970
## 108   4.894286240  -5.4707645  -1.1731439   3.8490571  -0.5699697  -6.88063970
## 109   4.894286240  -5.4707645  -1.1731439   3.8490571  -0.5699697  -6.88063970
## 110   4.894286240  -5.4707645  -1.1731439   3.8490571  -0.5699697  -6.88063970
## 111   4.894286240  -5.4707645  -1.1731439   3.8490571  -0.5699697  -6.88063970
## 112   4.894286240  -5.4707645  -1.1731439   3.8490571  -0.5699697  -6.88063970
## 113   0.486948377  23.1425564 -14.0908797  -2.6509125  16.9401358  -0.58669805
## 114   0.486948377  23.1425564 -14.0908797  -2.6509125  16.9401358  -0.58669805
## 115   0.486948377  23.1425564 -14.0908797  -2.6509125  16.9401358  -0.58669805
## 116   0.486948377  23.1425564 -14.0908797  -2.6509125  16.9401358  -0.58669805
## 117   0.486948377  23.1425564 -14.0908797  -2.6509125  16.9401358  -0.58669805
## 118   0.486948377  23.1425564 -14.0908797  -2.6509125  16.9401358  -0.58669805
## 119   0.486948377  23.1425564 -14.0908797  -2.6509125  16.9401358  -0.58669805
## 120   0.486948377  23.1425564 -14.0908797  -2.6509125  16.9401358  -0.58669805
## 121  13.044481328 -13.3164075   7.2399835  -0.9472426 -11.0191826  -9.17696009
## 122  13.044481328 -13.3164075   7.2399835  -0.9472426 -11.0191826  -9.17696009
## 123  13.044481328 -13.3164075   7.2399835  -0.9472426 -11.0191826  -9.17696009
## 124  13.044481328 -13.3164075   7.2399835  -0.9472426 -11.0191826  -9.17696009
## 125  13.044481328 -13.3164075   7.2399835  -0.9472426 -11.0191826  -9.17696009
## 126  13.044481328 -13.3164075   7.2399835  -0.9472426 -11.0191826  -9.17696009
## 127  13.044481328 -13.3164075   7.2399835  -0.9472426 -11.0191826  -9.17696009
## 128  13.044481328 -13.3164075   7.2399835  -0.9472426 -11.0191826  -9.17696009
## 129   8.435944154 -10.7274950  -4.3458718  -0.6718981  -4.9894933  -0.12005567
## 130   8.435944154 -10.7274950  -4.3458718  -0.6718981  -4.9894933  -0.12005567
## 131   8.435944154 -10.7274950  -4.3458718  -0.6718981  -4.9894933  -0.12005567
## 132   8.435944154 -10.7274950  -4.3458718  -0.6718981  -4.9894933  -0.12005567
## 133   8.435944154 -10.7274950  -4.3458718  -0.6718981  -4.9894933  -0.12005567
## 134   8.435944154 -10.7274950  -4.3458718  -0.6718981  -4.9894933  -0.12005567
## 135   8.435944154 -10.7274950  -4.3458718  -0.6718981  -4.9894933  -0.12005567
## 136   8.435944154 -10.7274950  -4.3458718  -0.6718981  -4.9894933  -0.12005567
## 137  11.552656357   0.6085724   3.4695323  -6.0563354   1.2730920   7.59063043
## 138  11.552656357   0.6085724   3.4695323  -6.0563354   1.2730920   7.59063043
## 139  11.552656357   0.6085724   3.4695323  -6.0563354   1.2730920   7.59063043
## 140  11.552656357   0.6085724   3.4695323  -6.0563354   1.2730920   7.59063043
## 141  11.552656357   0.6085724   3.4695323  -6.0563354   1.2730920   7.59063043
## 142  11.552656357   0.6085724   3.4695323  -6.0563354   1.2730920   7.59063043
## 143  11.552656357   0.6085724   3.4695323  -6.0563354   1.2730920   7.59063043
## 144  11.552656357   0.6085724   3.4695323  -6.0563354   1.2730920   7.59063043
## 145   0.911099340  -1.1973846  -4.0927249   5.4781811  -8.4514610 -13.13790346
## 146   0.911099340  -1.1973846  -4.0927249   5.4781811  -8.4514610 -13.13790346
## 147   0.911099340  -1.1973846  -4.0927249   5.4781811  -8.4514610 -13.13790346
## 148   0.911099340  -1.1973846  -4.0927249   5.4781811  -8.4514610 -13.13790346
## 149   0.911099340  -1.1973846  -4.0927249   5.4781811  -8.4514610 -13.13790346
## 150   0.911099340  -1.1973846  -4.0927249   5.4781811  -8.4514610 -13.13790346
## 151   0.911099340  -1.1973846  -4.0927249   5.4781811  -8.4514610 -13.13790346
## 152   0.911099340  -1.1973846  -4.0927249   5.4781811  -8.4514610 -13.13790346
## 153   2.597581312 -20.7150107   5.5105905   8.7924709  15.6981979   7.16684940
## 154   2.597581312 -20.7150107   5.5105905   8.7924709  15.6981979   7.16684940
## 155   2.597581312 -20.7150107   5.5105905   8.7924709  15.6981979   7.16684940
## 156   2.597581312 -20.7150107   5.5105905   8.7924709  15.6981979   7.16684940
## 157   2.597581312 -20.7150107   5.5105905   8.7924709  15.6981979   7.16684940
## 158   2.597581312 -20.7150107   5.5105905   8.7924709  15.6981979   7.16684940
## 159   2.597581312 -20.7150107   5.5105905   8.7924709  15.6981979   7.16684940
## 160   2.597581312 -20.7150107   5.5105905   8.7924709  15.6981979   7.16684940
## 161   5.225034632 -11.2918679  -1.8951975  -3.4030735  -1.9394109  -4.37900306
## 162   5.225034632 -11.2918679  -1.8951975  -3.4030735  -1.9394109  -4.37900306
## 163   5.225034632 -11.2918679  -1.8951975  -3.4030735  -1.9394109  -4.37900306
## 164   5.225034632 -11.2918679  -1.8951975  -3.4030735  -1.9394109  -4.37900306
## 165   5.225034632 -11.2918679  -1.8951975  -3.4030735  -1.9394109  -4.37900306
## 166   5.225034632 -11.2918679  -1.8951975  -3.4030735  -1.9394109  -4.37900306
## 167   5.225034632 -11.2918679  -1.8951975  -3.4030735  -1.9394109  -4.37900306
## 168   5.225034632 -11.2918679  -1.8951975  -3.4030735  -1.9394109  -4.37900306
## 169   1.616595428  -4.7658539  -0.5780641  -0.5292040  -6.9767838   4.96939035
## 170   1.616595428  -4.7658539  -0.5780641  -0.5292040  -6.9767838   4.96939035
## 171   1.616595428  -4.7658539  -0.5780641  -0.5292040  -6.9767838   4.96939035
## 172   1.616595428  -4.7658539  -0.5780641  -0.5292040  -6.9767838   4.96939035
## 173   1.616595428  -4.7658539  -0.5780641  -0.5292040  -6.9767838   4.96939035
## 174   1.616595428  -4.7658539  -0.5780641  -0.5292040  -6.9767838   4.96939035
## 175   1.616595428  -4.7658539  -0.5780641  -0.5292040  -6.9767838   4.96939035
## 176   1.616595428  -4.7658539  -0.5780641  -0.5292040  -6.9767838   4.96939035
## 177  -0.233871447  -5.1741439   1.5790055  -5.3892218   0.5349903   0.01247897
## 178  -0.233871447  -5.1741439   1.5790055  -5.3892218   0.5349903   0.01247897
## 179  -0.233871447  -5.1741439   1.5790055  -5.3892218   0.5349903   0.01247897
## 180  -0.233871447  -5.1741439   1.5790055  -5.3892218   0.5349903   0.01247897
## 181  -0.233871447  -5.1741439   1.5790055  -5.3892218   0.5349903   0.01247897
## 182  -0.233871447  -5.1741439   1.5790055  -5.3892218   0.5349903   0.01247897
## 183  -0.233871447  -5.1741439   1.5790055  -5.3892218   0.5349903   0.01247897
## 184  -0.233871447  -5.1741439   1.5790055  -5.3892218   0.5349903   0.01247897
## 185   2.115909454  20.3849471   7.2255881   0.2240996   8.3041547   2.71741019
## 186   2.115909454  20.3849471   7.2255881   0.2240996   8.3041547   2.71741019
## 187   2.115909454  20.3849471   7.2255881   0.2240996   8.3041547   2.71741019
## 188   2.115909454  20.3849471   7.2255881   0.2240996   8.3041547   2.71741019
## 189   2.115909454  20.3849471   7.2255881   0.2240996   8.3041547   2.71741019
## 190   2.115909454  20.3849471   7.2255881   0.2240996   8.3041547   2.71741019
## 191   2.115909454  20.3849471   7.2255881   0.2240996   8.3041547   2.71741019
## 192   2.115909454  20.3849471   7.2255881   0.2240996   8.3041547   2.71741019
## 193   0.530614451  -7.1192971   3.1946853  -2.6802363  10.3143470   6.94742126
## 194   0.530614451  -7.1192971   3.1946853  -2.6802363  10.3143470   6.94742126
## 195   0.530614451  -7.1192971   3.1946853  -2.6802363  10.3143470   6.94742126
## 196   0.530614451  -7.1192971   3.1946853  -2.6802363  10.3143470   6.94742126
## 197   0.530614451  -7.1192971   3.1946853  -2.6802363  10.3143470   6.94742126
## 198   0.530614451  -7.1192971   3.1946853  -2.6802363  10.3143470   6.94742126
## 199   0.530614451  -7.1192971   3.1946853  -2.6802363  10.3143470   6.94742126
## 200   0.530614451  -7.1192971   3.1946853  -2.6802363  10.3143470   6.94742126
## 201  13.938161410  -3.2891069 -41.4595829  33.0116756 -35.8017960  47.92651699
## 202  13.938161410  -3.2891069 -41.4595829  33.0116756 -35.8017960  47.92651699
## 203  13.938161410  -3.2891069 -41.4595829  33.0116756 -35.8017960  47.92651699
## 204  13.938161410  -3.2891069 -41.4595829  33.0116756 -35.8017960  47.92651699
## 205  13.938161410  -3.2891069 -41.4595829  33.0116756 -35.8017960  47.92651699
## 206  13.938161410  -3.2891069 -41.4595829  33.0116756 -35.8017960  47.92651699
## 207  13.938161410  -3.2891069 -41.4595829  33.0116756 -35.8017960  47.92651699
## 208  13.938161410  -3.2891069 -41.4595829  33.0116756 -35.8017960  47.92651699
## 209 -13.112149145 -10.0401562 -48.6843174 -81.6637574  26.4219464 -16.16943438
## 210 -13.112149145 -10.0401562 -48.6843174 -81.6637574  26.4219464 -16.16943438
## 211 -13.112149145 -10.0401562 -48.6843174 -81.6637574  26.4219464 -16.16943438
## 212 -13.112149145 -10.0401562 -48.6843174 -81.6637574  26.4219464 -16.16943438
## 213 -13.112149145 -10.0401562 -48.6843174 -81.6637574  26.4219464 -16.16943438
## 214 -13.112149145 -10.0401562 -48.6843174 -81.6637574  26.4219464 -16.16943438
## 215 -13.112149145 -10.0401562 -48.6843174 -81.6637574  26.4219464 -16.16943438
## 216 -13.112149145 -10.0401562 -48.6843174 -81.6637574  26.4219464 -16.16943438
## 217  -0.407054223  -0.9188841   3.9239079   1.8439414   4.4537549   2.36701904
## 218  -0.407054223  -0.9188841   3.9239079   1.8439414   4.4537549   2.36701904
## 219  -0.407054223  -0.9188841   3.9239079   1.8439414   4.4537549   2.36701904
## 220  -0.407054223  -0.9188841   3.9239079   1.8439414   4.4537549   2.36701904
## 221  -0.407054223  -0.9188841   3.9239079   1.8439414   4.4537549   2.36701904
## 222  -0.407054223  -0.9188841   3.9239079   1.8439414   4.4537549   2.36701904
## 223  -0.407054223  -0.9188841   3.9239079   1.8439414   4.4537549   2.36701904
## 224  -0.407054223  -0.9188841   3.9239079   1.8439414   4.4537549   2.36701904
## 225   6.167051913  -4.6412540   1.1621889   1.3281596  -0.9276771  -0.03680789
## 226   6.167051913  -4.6412540   1.1621889   1.3281596  -0.9276771  -0.03680789
## 227   6.167051913  -4.6412540   1.1621889   1.3281596  -0.9276771  -0.03680789
## 228   6.167051913  -4.6412540   1.1621889   1.3281596  -0.9276771  -0.03680789
## 229   6.167051913  -4.6412540   1.1621889   1.3281596  -0.9276771  -0.03680789
## 230   6.167051913  -4.6412540   1.1621889   1.3281596  -0.9276771  -0.03680789
## 231   6.167051913  -4.6412540   1.1621889   1.3281596  -0.9276771  -0.03680789
## 232   6.167051913  -4.6412540   1.1621889   1.3281596  -0.9276771  -0.03680789
## 233   2.406699506 -11.5825680  37.8051213 -21.2099676   3.3640522 -46.84774464
## 234   2.406699506 -11.5825680  37.8051213 -21.2099676   3.3640522 -46.84774464
## 235   2.406699506 -11.5825680  37.8051213 -21.2099676   3.3640522 -46.84774464
## 236   2.406699506 -11.5825680  37.8051213 -21.2099676   3.3640522 -46.84774464
## 237   2.406699506 -11.5825680  37.8051213 -21.2099676   3.3640522 -46.84774464
## 238   2.406699506 -11.5825680  37.8051213 -21.2099676   3.3640522 -46.84774464
## 239   2.406699506 -11.5825680  37.8051213 -21.2099676   3.3640522 -46.84774464
## 240   2.406699506 -11.5825680  37.8051213 -21.2099676   3.3640522 -46.84774464
## 241   2.872977809  -0.6212477  -1.2625736   0.5765770  -8.7013642   0.60920884
## 242   2.872977809  -0.6212477  -1.2625736   0.5765770  -8.7013642   0.60920884
## 243   2.872977809  -0.6212477  -1.2625736   0.5765770  -8.7013642   0.60920884
## 244   2.872977809  -0.6212477  -1.2625736   0.5765770  -8.7013642   0.60920884
## 245   2.872977809  -0.6212477  -1.2625736   0.5765770  -8.7013642   0.60920884
## 246   2.872977809  -0.6212477  -1.2625736   0.5765770  -8.7013642   0.60920884
## 247   2.872977809  -0.6212477  -1.2625736   0.5765770  -8.7013642   0.60920884
## 248   2.872977809  -0.6212477  -1.2625736   0.5765770  -8.7013642   0.60920884
## 249   4.568332004  -9.1189458  -4.0235531   0.8423049  -1.5569466  -1.76529064
## 250   4.568332004  -9.1189458  -4.0235531   0.8423049  -1.5569466  -1.76529064
## 251   4.568332004  -9.1189458  -4.0235531   0.8423049  -1.5569466  -1.76529064
## 252   4.568332004  -9.1189458  -4.0235531   0.8423049  -1.5569466  -1.76529064
## 253   4.568332004  -9.1189458  -4.0235531   0.8423049  -1.5569466  -1.76529064
## 254   4.568332004  -9.1189458  -4.0235531   0.8423049  -1.5569466  -1.76529064
## 255   4.568332004  -9.1189458  -4.0235531   0.8423049  -1.5569466  -1.76529064
## 256   4.568332004  -9.1189458  -4.0235531   0.8423049  -1.5569466  -1.76529064
## 257   1.478876967  -8.3001575   2.0008496  -3.4053446  -6.2235795   3.17686647
## 258   1.478876967  -8.3001575   2.0008496  -3.4053446  -6.2235795   3.17686647
## 259   1.478876967  -8.3001575   2.0008496  -3.4053446  -6.2235795   3.17686647
## 260   1.478876967  -8.3001575   2.0008496  -3.4053446  -6.2235795   3.17686647
## 261   1.478876967  -8.3001575   2.0008496  -3.4053446  -6.2235795   3.17686647
## 262   1.478876967  -8.3001575   2.0008496  -3.4053446  -6.2235795   3.17686647
## 263   1.478876967  -8.3001575   2.0008496  -3.4053446  -6.2235795   3.17686647
## 264   1.478876967  -8.3001575   2.0008496  -3.4053446  -6.2235795   3.17686647
## 265   7.800781993   7.6703419  -2.8773738  -9.0364211  -0.8404864 -18.10698552
## 266   7.800781993   7.6703419  -2.8773738  -9.0364211  -0.8404864 -18.10698552
## 267   7.800781993   7.6703419  -2.8773738  -9.0364211  -0.8404864 -18.10698552
## 268   7.800781993   7.6703419  -2.8773738  -9.0364211  -0.8404864 -18.10698552
## 269   7.800781993   7.6703419  -2.8773738  -9.0364211  -0.8404864 -18.10698552
## 270   7.800781993   7.6703419  -2.8773738  -9.0364211  -0.8404864 -18.10698552
## 271   7.800781993   7.6703419  -2.8773738  -9.0364211  -0.8404864 -18.10698552
## 272   7.800781993   7.6703419  -2.8773738  -9.0364211  -0.8404864 -18.10698552
## 273  -0.914384294  15.8313736   0.9482794   1.1040320 -17.3607171  -3.27068164
## 274  -0.914384294  15.8313736   0.9482794   1.1040320 -17.3607171  -3.27068164
## 275  -0.914384294  15.8313736   0.9482794   1.1040320 -17.3607171  -3.27068164
## 276  -0.914384294  15.8313736   0.9482794   1.1040320 -17.3607171  -3.27068164
## 277  -0.914384294  15.8313736   0.9482794   1.1040320 -17.3607171  -3.27068164
## 278  -0.914384294  15.8313736   0.9482794   1.1040320 -17.3607171  -3.27068164
## 279  -0.914384294  15.8313736   0.9482794   1.1040320 -17.3607171  -3.27068164
## 280  -0.914384294  15.8313736   0.9482794   1.1040320 -17.3607171  -3.27068164
## 281   0.002002104  17.9498155   0.5752017   7.9773859 -10.4069521   9.59223987
## 282   0.002002104  17.9498155   0.5752017   7.9773859 -10.4069521   9.59223987
## 283   0.002002104  17.9498155   0.5752017   7.9773859 -10.4069521   9.59223987
## 284   0.002002104  17.9498155   0.5752017   7.9773859 -10.4069521   9.59223987
## 285   0.002002104  17.9498155   0.5752017   7.9773859 -10.4069521   9.59223987
## 286   0.002002104  17.9498155   0.5752017   7.9773859 -10.4069521   9.59223987
## 287   0.002002104  17.9498155   0.5752017   7.9773859 -10.4069521   9.59223987
## 288   0.002002104  17.9498155   0.5752017   7.9773859 -10.4069521   9.59223987
## 289   5.126960361  -1.6399512   6.3688595  -6.2881111  -6.3148835  -3.41970407
## 290   5.126960361  -1.6399512   6.3688595  -6.2881111  -6.3148835  -3.41970407
## 291   5.126960361  -1.6399512   6.3688595  -6.2881111  -6.3148835  -3.41970407
## 292   5.126960361  -1.6399512   6.3688595  -6.2881111  -6.3148835  -3.41970407
## 293   5.126960361  -1.6399512   6.3688595  -6.2881111  -6.3148835  -3.41970407
## 294   5.126960361  -1.6399512   6.3688595  -6.2881111  -6.3148835  -3.41970407
## 295   5.126960361  -1.6399512   6.3688595  -6.2881111  -6.3148835  -3.41970407
## 296   5.126960361  -1.6399512   6.3688595  -6.2881111  -6.3148835  -3.41970407
## 297   0.185357025  -0.1096148   9.8812591  -2.5777551  -2.2223634   1.13307875
## 298   0.185357025  -0.1096148   9.8812591  -2.5777551  -2.2223634   1.13307875
## 299   0.185357025  -0.1096148   9.8812591  -2.5777551  -2.2223634   1.13307875
## 300   0.185357025  -0.1096148   9.8812591  -2.5777551  -2.2223634   1.13307875
## 301   0.185357025  -0.1096148   9.8812591  -2.5777551  -2.2223634   1.13307875
## 302   0.185357025  -0.1096148   9.8812591  -2.5777551  -2.2223634   1.13307875
## 303   0.185357025  -0.1096148   9.8812591  -2.5777551  -2.2223634   1.13307875
## 304   0.185357025  -0.1096148   9.8812591  -2.5777551  -2.2223634   1.13307875
## 305   3.015332255  -2.3359668  -2.2812384  -3.4935863  -3.3631156  -1.55372981
## 306   3.015332255  -2.3359668  -2.2812384  -3.4935863  -3.3631156  -1.55372981
## 307   3.015332255  -2.3359668  -2.2812384  -3.4935863  -3.3631156  -1.55372981
## 308   3.015332255  -2.3359668  -2.2812384  -3.4935863  -3.3631156  -1.55372981
## 309   3.015332255  -2.3359668  -2.2812384  -3.4935863  -3.3631156  -1.55372981
## 310   3.015332255  -2.3359668  -2.2812384  -3.4935863  -3.3631156  -1.55372981
## 311   3.015332255  -2.3359668  -2.2812384  -3.4935863  -3.3631156  -1.55372981
## 312   3.015332255  -2.3359668  -2.2812384  -3.4935863  -3.3631156  -1.55372981
## 313   8.927862383   2.9074123  -6.2731366  -8.7456354  -8.4674734 -16.75920110
## 314   8.927862383   2.9074123  -6.2731366  -8.7456354  -8.4674734 -16.75920110
## 315   8.927862383   2.9074123  -6.2731366  -8.7456354  -8.4674734 -16.75920110
## 316   8.927862383   2.9074123  -6.2731366  -8.7456354  -8.4674734 -16.75920110
## 317   8.927862383   2.9074123  -6.2731366  -8.7456354  -8.4674734 -16.75920110
## 318   8.927862383   2.9074123  -6.2731366  -8.7456354  -8.4674734 -16.75920110
## 319   8.927862383   2.9074123  -6.2731366  -8.7456354  -8.4674734 -16.75920110
## 320   8.927862383   2.9074123  -6.2731366  -8.7456354  -8.4674734 -16.75920110
## 321  -0.945888164   0.0330882  15.9222573  -9.7208175 -38.1301308 -12.90525290
## 322  -0.945888164   0.0330882  15.9222573  -9.7208175 -38.1301308 -12.90525290
## 323  -0.945888164   0.0330882  15.9222573  -9.7208175 -38.1301308 -12.90525290
## 324  -0.945888164   0.0330882  15.9222573  -9.7208175 -38.1301308 -12.90525290
## 325  -0.945888164   0.0330882  15.9222573  -9.7208175 -38.1301308 -12.90525290
## 326  -0.945888164   0.0330882  15.9222573  -9.7208175 -38.1301308 -12.90525290
## 327  -0.945888164   0.0330882  15.9222573  -9.7208175 -38.1301308 -12.90525290
## 328  -0.945888164   0.0330882  15.9222573  -9.7208175 -38.1301308 -12.90525290
## 329  -0.479053794  -0.7729664   6.4806320  -8.6189964  -3.9936331   3.60523584
## 330  -0.479053794  -0.7729664   6.4806320  -8.6189964  -3.9936331   3.60523584
## 331  -0.479053794  -0.7729664   6.4806320  -8.6189964  -3.9936331   3.60523584
## 332  -0.479053794  -0.7729664   6.4806320  -8.6189964  -3.9936331   3.60523584
## 333  -0.479053794  -0.7729664   6.4806320  -8.6189964  -3.9936331   3.60523584
## 334  -0.479053794  -0.7729664   6.4806320  -8.6189964  -3.9936331   3.60523584
## 335  -0.479053794  -0.7729664   6.4806320  -8.6189964  -3.9936331   3.60523584
## 336  -0.479053794  -0.7729664   6.4806320  -8.6189964  -3.9936331   3.60523584
## 337 -11.171407109   3.1453841  10.6422959 -20.6758010  18.6517066 -37.72300240
## 338 -11.171407109   3.1453841  10.6422959 -20.6758010  18.6517066 -37.72300240
## 339 -11.171407109   3.1453841  10.6422959 -20.6758010  18.6517066 -37.72300240
## 340 -11.171407109   3.1453841  10.6422959 -20.6758010  18.6517066 -37.72300240
## 341 -11.171407109   3.1453841  10.6422959 -20.6758010  18.6517066 -37.72300240
## 342 -11.171407109   3.1453841  10.6422959 -20.6758010  18.6517066 -37.72300240
## 343 -11.171407109   3.1453841  10.6422959 -20.6758010  18.6517066 -37.72300240
## 344 -11.171407109   3.1453841  10.6422959 -20.6758010  18.6517066 -37.72300240
## 345  -5.508189370   9.4639605 -19.6341700  22.1812747 -15.6643742   3.23561992
## 346  -5.508189370   9.4639605 -19.6341700  22.1812747 -15.6643742   3.23561992
## 347  -5.508189370   9.4639605 -19.6341700  22.1812747 -15.6643742   3.23561992
## 348  -5.508189370   9.4639605 -19.6341700  22.1812747 -15.6643742   3.23561992
## 349  -5.508189370   9.4639605 -19.6341700  22.1812747 -15.6643742   3.23561992
## 350  -5.508189370   9.4639605 -19.6341700  22.1812747 -15.6643742   3.23561992
## 351  -5.508189370   9.4639605 -19.6341700  22.1812747 -15.6643742   3.23561992
## 352  -5.508189370   9.4639605 -19.6341700  22.1812747 -15.6643742   3.23561992
## 353  -0.677913942   3.6069965  12.1684758   4.2829585   1.4537587   2.36489010
## 354  -0.677913942   3.6069965  12.1684758   4.2829585   1.4537587   2.36489010
## 355  -0.677913942   3.6069965  12.1684758   4.2829585   1.4537587   2.36489010
## 356  -0.677913942   3.6069965  12.1684758   4.2829585   1.4537587   2.36489010
## 357  -0.677913942   3.6069965  12.1684758   4.2829585   1.4537587   2.36489010
## 358  -0.677913942   3.6069965  12.1684758   4.2829585   1.4537587   2.36489010
## 359  -0.677913942   3.6069965  12.1684758   4.2829585   1.4537587   2.36489010
## 360  -0.677913942   3.6069965  12.1684758   4.2829585   1.4537587   2.36489010
## 361  38.843322097 -15.5818110  15.2371489  -8.6922748   2.0793220 -21.64506042
## 362  38.843322097 -15.5818110  15.2371489  -8.6922748   2.0793220 -21.64506042
## 363  38.843322097 -15.5818110  15.2371489  -8.6922748   2.0793220 -21.64506042
## 364  38.843322097 -15.5818110  15.2371489  -8.6922748   2.0793220 -21.64506042
## 365  38.843322097 -15.5818110  15.2371489  -8.6922748   2.0793220 -21.64506042
## 366  38.843322097 -15.5818110  15.2371489  -8.6922748   2.0793220 -21.64506042
## 367  38.843322097 -15.5818110  15.2371489  -8.6922748   2.0793220 -21.64506042
## 368  38.843322097 -15.5818110  15.2371489  -8.6922748   2.0793220 -21.64506042
## 369   1.196579292   4.4970526  -3.6089627   2.8599491   2.5099352 -10.92097958
## 370   1.196579292   4.4970526  -3.6089627   2.8599491   2.5099352 -10.92097958
## 371   1.196579292   4.4970526  -3.6089627   2.8599491   2.5099352 -10.92097958
## 372   1.196579292   4.4970526  -3.6089627   2.8599491   2.5099352 -10.92097958
## 373   1.196579292   4.4970526  -3.6089627   2.8599491   2.5099352 -10.92097958
## 374   1.196579292   4.4970526  -3.6089627   2.8599491   2.5099352 -10.92097958
## 375   1.196579292   4.4970526  -3.6089627   2.8599491   2.5099352 -10.92097958
## 376   1.196579292   4.4970526  -3.6089627   2.8599491   2.5099352 -10.92097958
## 377  10.964185259  -3.2374202   2.1888720   6.2739312   1.0858328   1.07362476
## 378  10.964185259  -3.2374202   2.1888720   6.2739312   1.0858328   1.07362476
## 379  10.964185259  -3.2374202   2.1888720   6.2739312   1.0858328   1.07362476
## 380  10.964185259  -3.2374202   2.1888720   6.2739312   1.0858328   1.07362476
## 381  10.964185259  -3.2374202   2.1888720   6.2739312   1.0858328   1.07362476
## 382  10.964185259  -3.2374202   2.1888720   6.2739312   1.0858328   1.07362476
## 383  10.964185259  -3.2374202   2.1888720   6.2739312   1.0858328   1.07362476
## 384  10.964185259  -3.2374202   2.1888720   6.2739312   1.0858328   1.07362476
## 385   1.165796865  -6.9227908   0.5320607  -5.2655355  -1.2084507   6.06360407
## 386   1.165796865  -6.9227908   0.5320607  -5.2655355  -1.2084507   6.06360407
## 387   1.165796865  -6.9227908   0.5320607  -5.2655355  -1.2084507   6.06360407
## 388   1.165796865  -6.9227908   0.5320607  -5.2655355  -1.2084507   6.06360407
## 389   1.165796865  -6.9227908   0.5320607  -5.2655355  -1.2084507   6.06360407
## 390   1.165796865  -6.9227908   0.5320607  -5.2655355  -1.2084507   6.06360407
## 391   1.165796865  -6.9227908   0.5320607  -5.2655355  -1.2084507   6.06360407
## 392   1.165796865  -6.9227908   0.5320607  -5.2655355  -1.2084507   6.06360407
## 393   2.722209673  -2.0731375   4.3669131   0.6824389   5.5958864   1.21901577
## 394   2.722209673  -2.0731375   4.3669131   0.6824389   5.5958864   1.21901577
## 395   2.722209673  -2.0731375   4.3669131   0.6824389   5.5958864   1.21901577
## 396   2.722209673  -2.0731375   4.3669131   0.6824389   5.5958864   1.21901577
## 397   2.722209673  -2.0731375   4.3669131   0.6824389   5.5958864   1.21901577
## 398   2.722209673  -2.0731375   4.3669131   0.6824389   5.5958864   1.21901577
## 399   2.722209673  -2.0731375   4.3669131   0.6824389   5.5958864   1.21901577
## 400   2.722209673  -2.0731375   4.3669131   0.6824389   5.5958864   1.21901577
## 401   4.969216565  16.7069013  -5.4608443   6.5882845  -5.6913803 -17.89619645
## 402   4.969216565  16.7069013  -5.4608443   6.5882845  -5.6913803 -17.89619645
## 403   4.969216565  16.7069013  -5.4608443   6.5882845  -5.6913803 -17.89619645
## 404   4.969216565  16.7069013  -5.4608443   6.5882845  -5.6913803 -17.89619645
## 405   4.969216565  16.7069013  -5.4608443   6.5882845  -5.6913803 -17.89619645
## 406   4.969216565  16.7069013  -5.4608443   6.5882845  -5.6913803 -17.89619645
## 407   4.969216565  16.7069013  -5.4608443   6.5882845  -5.6913803 -17.89619645
## 408   4.969216565  16.7069013  -5.4608443   6.5882845  -5.6913803 -17.89619645
## 409  -5.207977272  -0.4166673  -3.9568640   5.8911508  -5.0015597   5.19777116
## 410  -5.207977272  -0.4166673  -3.9568640   5.8911508  -5.0015597   5.19777116
## 411  -5.207977272  -0.4166673  -3.9568640   5.8911508  -5.0015597   5.19777116
## 412  -5.207977272  -0.4166673  -3.9568640   5.8911508  -5.0015597   5.19777116
## 413  -5.207977272  -0.4166673  -3.9568640   5.8911508  -5.0015597   5.19777116
## 414  -5.207977272  -0.4166673  -3.9568640   5.8911508  -5.0015597   5.19777116
## 415  -5.207977272  -0.4166673  -3.9568640   5.8911508  -5.0015597   5.19777116
## 416  -5.207977272  -0.4166673  -3.9568640   5.8911508  -5.0015597   5.19777116
## 417   5.299075330  -7.7787861   5.0883172  -1.5083143  -7.3507050  -1.43146754
## 418   5.299075330  -7.7787861   5.0883172  -1.5083143  -7.3507050  -1.43146754
## 419   5.299075330  -7.7787861   5.0883172  -1.5083143  -7.3507050  -1.43146754
## 420   5.299075330  -7.7787861   5.0883172  -1.5083143  -7.3507050  -1.43146754
## 421   5.299075330  -7.7787861   5.0883172  -1.5083143  -7.3507050  -1.43146754
## 422   5.299075330  -7.7787861   5.0883172  -1.5083143  -7.3507050  -1.43146754
## 423   5.299075330  -7.7787861   5.0883172  -1.5083143  -7.3507050  -1.43146754
## 424   5.299075330  -7.7787861   5.0883172  -1.5083143  -7.3507050  -1.43146754
## 425  -5.703939785  -8.4625112  -4.5723655   2.2645719  -1.7924812   0.56818205
## 426  -5.703939785  -8.4625112  -4.5723655   2.2645719  -1.7924812   0.56818205
## 427  -5.703939785  -8.4625112  -4.5723655   2.2645719  -1.7924812   0.56818205
## 428  -5.703939785  -8.4625112  -4.5723655   2.2645719  -1.7924812   0.56818205
## 429  -5.703939785  -8.4625112  -4.5723655   2.2645719  -1.7924812   0.56818205
## 430  -5.703939785  -8.4625112  -4.5723655   2.2645719  -1.7924812   0.56818205
## 431  -5.703939785  -8.4625112  -4.5723655   2.2645719  -1.7924812   0.56818205
## 432  -5.703939785  -8.4625112  -4.5723655   2.2645719  -1.7924812   0.56818205
## 433  -1.684290468  -7.8114151   5.1879331  -5.0849168  -1.2171766   4.05954889
## 434  -1.684290468  -7.8114151   5.1879331  -5.0849168  -1.2171766   4.05954889
## 435  -1.684290468  -7.8114151   5.1879331  -5.0849168  -1.2171766   4.05954889
## 436  -1.684290468  -7.8114151   5.1879331  -5.0849168  -1.2171766   4.05954889
## 437  -1.684290468  -7.8114151   5.1879331  -5.0849168  -1.2171766   4.05954889
## 438  -1.684290468  -7.8114151   5.1879331  -5.0849168  -1.2171766   4.05954889
## 439  -1.684290468  -7.8114151   5.1879331  -5.0849168  -1.2171766   4.05954889
## 440  -1.684290468  -7.8114151   5.1879331  -5.0849168  -1.2171766   4.05954889
## 441   1.371935216 -24.5158576 -17.6297186   1.4723533   4.5030859  15.31911424
## 442   1.371935216 -24.5158576 -17.6297186   1.4723533   4.5030859  15.31911424
## 443   1.371935216 -24.5158576 -17.6297186   1.4723533   4.5030859  15.31911424
## 444   1.371935216 -24.5158576 -17.6297186   1.4723533   4.5030859  15.31911424
## 445   1.371935216 -24.5158576 -17.6297186   1.4723533   4.5030859  15.31911424
## 446   1.371935216 -24.5158576 -17.6297186   1.4723533   4.5030859  15.31911424
## 447   1.371935216 -24.5158576 -17.6297186   1.4723533   4.5030859  15.31911424
## 448   1.371935216 -24.5158576 -17.6297186   1.4723533   4.5030859  15.31911424
## 449   4.155004031  -4.2945477  -1.2628217   2.0303769   0.4076417   3.00417877
## 450   4.155004031  -4.2945477  -1.2628217   2.0303769   0.4076417   3.00417877
## 451   4.155004031  -4.2945477  -1.2628217   2.0303769   0.4076417   3.00417877
## 452   4.155004031  -4.2945477  -1.2628217   2.0303769   0.4076417   3.00417877
## 453   4.155004031  -4.2945477  -1.2628217   2.0303769   0.4076417   3.00417877
## 454   4.155004031  -4.2945477  -1.2628217   2.0303769   0.4076417   3.00417877
## 455   4.155004031  -4.2945477  -1.2628217   2.0303769   0.4076417   3.00417877
## 456   4.155004031  -4.2945477  -1.2628217   2.0303769   0.4076417   3.00417877
## 457   4.165145740   0.4828299   4.2385016  -5.8532190   0.5173626  -1.04126295
## 458   4.165145740   0.4828299   4.2385016  -5.8532190   0.5173626  -1.04126295
## 459   4.165145740   0.4828299   4.2385016  -5.8532190   0.5173626  -1.04126295
## 460   4.165145740   0.4828299   4.2385016  -5.8532190   0.5173626  -1.04126295
## 461   4.165145740   0.4828299   4.2385016  -5.8532190   0.5173626  -1.04126295
## 462   4.165145740   0.4828299   4.2385016  -5.8532190   0.5173626  -1.04126295
## 463   4.165145740   0.4828299   4.2385016  -5.8532190   0.5173626  -1.04126295
## 464   4.165145740   0.4828299   4.2385016  -5.8532190   0.5173626  -1.04126295
## 465   4.465088828  -5.4905480   7.4376199  -6.1029814  -9.0305285   4.87628030
## 466   4.465088828  -5.4905480   7.4376199  -6.1029814  -9.0305285   4.87628030
## 467   4.465088828  -5.4905480   7.4376199  -6.1029814  -9.0305285   4.87628030
## 468   4.465088828  -5.4905480   7.4376199  -6.1029814  -9.0305285   4.87628030
## 469   4.465088828  -5.4905480   7.4376199  -6.1029814  -9.0305285   4.87628030
## 470   4.465088828  -5.4905480   7.4376199  -6.1029814  -9.0305285   4.87628030
## 471   4.465088828  -5.4905480   7.4376199  -6.1029814  -9.0305285   4.87628030
## 472   4.465088828  -5.4905480   7.4376199  -6.1029814  -9.0305285   4.87628030
## 473 -15.724816683  42.7526842  48.3414456  66.4714113   7.5101503   0.72598146
## 474 -15.724816683  42.7526842  48.3414456  66.4714113   7.5101503   0.72598146
## 475 -15.724816683  42.7526842  48.3414456  66.4714113   7.5101503   0.72598146
## 476 -15.724816683  42.7526842  48.3414456  66.4714113   7.5101503   0.72598146
## 477 -15.724816683  42.7526842  48.3414456  66.4714113   7.5101503   0.72598146
## 478 -15.724816683  42.7526842  48.3414456  66.4714113   7.5101503   0.72598146
## 479 -15.724816683  42.7526842  48.3414456  66.4714113   7.5101503   0.72598146
## 480 -15.724816683  42.7526842  48.3414456  66.4714113   7.5101503   0.72598146
## 481  12.537554672 -11.5411143 -28.4520109  33.9602460   6.2207148  -7.66104005
## 482  12.537554672 -11.5411143 -28.4520109  33.9602460   6.2207148  -7.66104005
## 483  12.537554672 -11.5411143 -28.4520109  33.9602460   6.2207148  -7.66104005
## 484  12.537554672 -11.5411143 -28.4520109  33.9602460   6.2207148  -7.66104005
## 485  12.537554672 -11.5411143 -28.4520109  33.9602460   6.2207148  -7.66104005
## 486  12.537554672 -11.5411143 -28.4520109  33.9602460   6.2207148  -7.66104005
## 487  12.537554672 -11.5411143 -28.4520109  33.9602460   6.2207148  -7.66104005
## 488  12.537554672 -11.5411143 -28.4520109  33.9602460   6.2207148  -7.66104005
## 489  49.040302046  85.2042966   2.8990059 -26.6239586 -13.2675777  27.27346869
## 490  49.040302046  85.2042966   2.8990059 -26.6239586 -13.2675777  27.27346869
## 491  49.040302046  85.2042966   2.8990059 -26.6239586 -13.2675777  27.27346869
## 492  49.040302046  85.2042966   2.8990059 -26.6239586 -13.2675777  27.27346869
## 493  49.040302046  85.2042966   2.8990059 -26.6239586 -13.2675777  27.27346869
## 494  49.040302046  85.2042966   2.8990059 -26.6239586 -13.2675777  27.27346869
## 495  49.040302046  85.2042966   2.8990059 -26.6239586 -13.2675777  27.27346869
## 496  49.040302046  85.2042966   2.8990059 -26.6239586 -13.2675777  27.27346869
## 497  10.980128108  -2.8618677   2.7892988  -4.1744579  -2.0441450   2.39805622
## 498  10.980128108  -2.8618677   2.7892988  -4.1744579  -2.0441450   2.39805622
## 499  10.980128108  -2.8618677   2.7892988  -4.1744579  -2.0441450   2.39805622
## 500  10.980128108  -2.8618677   2.7892988  -4.1744579  -2.0441450   2.39805622
## 501  10.980128108  -2.8618677   2.7892988  -4.1744579  -2.0441450   2.39805622
## 502  10.980128108  -2.8618677   2.7892988  -4.1744579  -2.0441450   2.39805622
## 503  10.980128108  -2.8618677   2.7892988  -4.1744579  -2.0441450   2.39805622
## 504  10.980128108  -2.8618677   2.7892988  -4.1744579  -2.0441450   2.39805622
## 505 -30.794455773  -9.7489201  -0.0742946  -7.4986993  -6.9591519   3.47245809
## 506 -30.794455773  -9.7489201  -0.0742946  -7.4986993  -6.9591519   3.47245809
## 507 -30.794455773  -9.7489201  -0.0742946  -7.4986993  -6.9591519   3.47245809
## 508 -30.794455773  -9.7489201  -0.0742946  -7.4986993  -6.9591519   3.47245809
## 509 -30.794455773  -9.7489201  -0.0742946  -7.4986993  -6.9591519   3.47245809
## 510 -30.794455773  -9.7489201  -0.0742946  -7.4986993  -6.9591519   3.47245809
## 511 -30.794455773  -9.7489201  -0.0742946  -7.4986993  -6.9591519   3.47245809
## 512 -30.794455773  -9.7489201  -0.0742946  -7.4986993  -6.9591519   3.47245809
## 513  13.860457935 -14.3436791   7.8161911   1.9341080  13.4807507   7.82099961
## 514  13.860457935 -14.3436791   7.8161911   1.9341080  13.4807507   7.82099961
## 515  13.860457935 -14.3436791   7.8161911   1.9341080  13.4807507   7.82099961
## 516  13.860457935 -14.3436791   7.8161911   1.9341080  13.4807507   7.82099961
## 517  13.860457935 -14.3436791   7.8161911   1.9341080  13.4807507   7.82099961
## 518  13.860457935 -14.3436791   7.8161911   1.9341080  13.4807507   7.82099961
## 519  13.860457935 -14.3436791   7.8161911   1.9341080  13.4807507   7.82099961
## 520  13.860457935 -14.3436791   7.8161911   1.9341080  13.4807507   7.82099961
## 521   3.288334985  -9.9929357   5.9579965  -2.7422582  -1.7339824  14.20744881
## 522   3.288334985  -9.9929357   5.9579965  -2.7422582  -1.7339824  14.20744881
## 523   3.288334985  -9.9929357   5.9579965  -2.7422582  -1.7339824  14.20744881
## 524   3.288334985  -9.9929357   5.9579965  -2.7422582  -1.7339824  14.20744881
## 525   3.288334985  -9.9929357   5.9579965  -2.7422582  -1.7339824  14.20744881
## 526   3.288334985  -9.9929357   5.9579965  -2.7422582  -1.7339824  14.20744881
## 527   3.288334985  -9.9929357   5.9579965  -2.7422582  -1.7339824  14.20744881
## 528   3.288334985  -9.9929357   5.9579965  -2.7422582  -1.7339824  14.20744881
## 529 -28.850966476  -6.5171473  33.3429540 -46.8252891  -2.4228206  84.34303686
## 530 -28.850966476  -6.5171473  33.3429540 -46.8252891  -2.4228206  84.34303686
## 531 -28.850966476  -6.5171473  33.3429540 -46.8252891  -2.4228206  84.34303686
## 532 -28.850966476  -6.5171473  33.3429540 -46.8252891  -2.4228206  84.34303686
## 533 -28.850966476  -6.5171473  33.3429540 -46.8252891  -2.4228206  84.34303686
## 534 -28.850966476  -6.5171473  33.3429540 -46.8252891  -2.4228206  84.34303686
## 535 -28.850966476  -6.5171473  33.3429540 -46.8252891  -2.4228206  84.34303686
## 536 -28.850966476  -6.5171473  33.3429540 -46.8252891  -2.4228206  84.34303686
## 537   4.101932584  -7.3573083  -0.2415626   2.3530982  -2.6757790  -7.73676534
## 538   4.101932584  -7.3573083  -0.2415626   2.3530982  -2.6757790  -7.73676534
## 539   4.101932584  -7.3573083  -0.2415626   2.3530982  -2.6757790  -7.73676534
## 540   4.101932584  -7.3573083  -0.2415626   2.3530982  -2.6757790  -7.73676534
## 541   4.101932584  -7.3573083  -0.2415626   2.3530982  -2.6757790  -7.73676534
## 542   4.101932584  -7.3573083  -0.2415626   2.3530982  -2.6757790  -7.73676534
## 543   4.101932584  -7.3573083  -0.2415626   2.3530982  -2.6757790  -7.73676534
## 544   4.101932584  -7.3573083  -0.2415626   2.3530982  -2.6757790  -7.73676534
## 545   1.010758695  -1.1850752   1.3592173  -5.3009838   1.7897484  -0.08526685
## 546   1.010758695  -1.1850752   1.3592173  -5.3009838   1.7897484  -0.08526685
## 547   1.010758695  -1.1850752   1.3592173  -5.3009838   1.7897484  -0.08526685
## 548   1.010758695  -1.1850752   1.3592173  -5.3009838   1.7897484  -0.08526685
## 549   1.010758695  -1.1850752   1.3592173  -5.3009838   1.7897484  -0.08526685
## 550   1.010758695  -1.1850752   1.3592173  -5.3009838   1.7897484  -0.08526685
## 551   1.010758695  -1.1850752   1.3592173  -5.3009838   1.7897484  -0.08526685
## 552   1.010758695  -1.1850752   1.3592173  -5.3009838   1.7897484  -0.08526685
## 553  -0.624304733 -20.0861035  12.5088497   0.2056749  -9.4705078  -3.18870456
## 554  -0.624304733 -20.0861035  12.5088497   0.2056749  -9.4705078  -3.18870456
## 555  -0.624304733 -20.0861035  12.5088497   0.2056749  -9.4705078  -3.18870456
## 556  -0.624304733 -20.0861035  12.5088497   0.2056749  -9.4705078  -3.18870456
## 557  -0.624304733 -20.0861035  12.5088497   0.2056749  -9.4705078  -3.18870456
## 558  -0.624304733 -20.0861035  12.5088497   0.2056749  -9.4705078  -3.18870456
## 559  -0.624304733 -20.0861035  12.5088497   0.2056749  -9.4705078  -3.18870456
## 560  -0.624304733 -20.0861035  12.5088497   0.2056749  -9.4705078  -3.18870456
## 561   4.701383171   4.4261659   3.7346548   4.3595170   0.4137536  -2.97099736
## 562   4.701383171   4.4261659   3.7346548   4.3595170   0.4137536  -2.97099736
## 563   4.701383171   4.4261659   3.7346548   4.3595170   0.4137536  -2.97099736
## 564   4.701383171   4.4261659   3.7346548   4.3595170   0.4137536  -2.97099736
## 565   4.701383171   4.4261659   3.7346548   4.3595170   0.4137536  -2.97099736
## 566   4.701383171   4.4261659   3.7346548   4.3595170   0.4137536  -2.97099736
## 567   4.701383171   4.4261659   3.7346548   4.3595170   0.4137536  -2.97099736
## 568   4.701383171   4.4261659   3.7346548   4.3595170   0.4137536  -2.97099736
## 569   0.455028966  -1.3562615  -0.1145718   1.0948821  -2.3685803  -0.13786667
## 570   0.455028966  -1.3562615  -0.1145718   1.0948821  -2.3685803  -0.13786667
## 571   0.455028966  -1.3562615  -0.1145718   1.0948821  -2.3685803  -0.13786667
## 572   0.455028966  -1.3562615  -0.1145718   1.0948821  -2.3685803  -0.13786667
## 573   0.455028966  -1.3562615  -0.1145718   1.0948821  -2.3685803  -0.13786667
## 574   0.455028966  -1.3562615  -0.1145718   1.0948821  -2.3685803  -0.13786667
## 575   0.455028966  -1.3562615  -0.1145718   1.0948821  -2.3685803  -0.13786667
## 576   0.455028966  -1.3562615  -0.1145718   1.0948821  -2.3685803  -0.13786667
## 577  -2.210466954  -2.3219125   5.9749365  -0.9232099   2.3735440   4.44552446
## 578  -2.210466954  -2.3219125   5.9749365  -0.9232099   2.3735440   4.44552446
## 579  -2.210466954  -2.3219125   5.9749365  -0.9232099   2.3735440   4.44552446
## 580  -2.210466954  -2.3219125   5.9749365  -0.9232099   2.3735440   4.44552446
## 581  -2.210466954  -2.3219125   5.9749365  -0.9232099   2.3735440   4.44552446
## 582  -2.210466954  -2.3219125   5.9749365  -0.9232099   2.3735440   4.44552446
## 583  -2.210466954  -2.3219125   5.9749365  -0.9232099   2.3735440   4.44552446
## 584  -2.210466954  -2.3219125   5.9749365  -0.9232099   2.3735440   4.44552446
## 585 -18.813725079  24.6409378  -2.4494043  -6.4245693   3.1114492  -8.85177265
## 586 -18.813725079  24.6409378  -2.4494043  -6.4245693   3.1114492  -8.85177265
## 587 -18.813725079  24.6409378  -2.4494043  -6.4245693   3.1114492  -8.85177265
## 588 -18.813725079  24.6409378  -2.4494043  -6.4245693   3.1114492  -8.85177265
## 589 -18.813725079  24.6409378  -2.4494043  -6.4245693   3.1114492  -8.85177265
## 590 -18.813725079  24.6409378  -2.4494043  -6.4245693   3.1114492  -8.85177265
## 591 -18.813725079  24.6409378  -2.4494043  -6.4245693   3.1114492  -8.85177265
## 592 -18.813725079  24.6409378  -2.4494043  -6.4245693   3.1114492  -8.85177265
## 593  -3.205490690  19.1865866  -0.8878617  13.7598840  -4.1937387 -13.13201349
## 594  -3.205490690  19.1865866  -0.8878617  13.7598840  -4.1937387 -13.13201349
## 595  -3.205490690  19.1865866  -0.8878617  13.7598840  -4.1937387 -13.13201349
## 596  -3.205490690  19.1865866  -0.8878617  13.7598840  -4.1937387 -13.13201349
## 597  -3.205490690  19.1865866  -0.8878617  13.7598840  -4.1937387 -13.13201349
## 598  -3.205490690  19.1865866  -0.8878617  13.7598840  -4.1937387 -13.13201349
## 599  -3.205490690  19.1865866  -0.8878617  13.7598840  -4.1937387 -13.13201349
## 600  -3.205490690  19.1865866  -0.8878617  13.7598840  -4.1937387 -13.13201349
## 601   3.253871687  -1.4442874   6.4920173  -5.7737418   1.0695661  -1.88410102
## 602   3.253871687  -1.4442874   6.4920173  -5.7737418   1.0695661  -1.88410102
## 603   3.253871687  -1.4442874   6.4920173  -5.7737418   1.0695661  -1.88410102
## 604   3.253871687  -1.4442874   6.4920173  -5.7737418   1.0695661  -1.88410102
## 605   3.253871687  -1.4442874   6.4920173  -5.7737418   1.0695661  -1.88410102
## 606   3.253871687  -1.4442874   6.4920173  -5.7737418   1.0695661  -1.88410102
## 607   3.253871687  -1.4442874   6.4920173  -5.7737418   1.0695661  -1.88410102
## 608   3.253871687  -1.4442874   6.4920173  -5.7737418   1.0695661  -1.88410102
## 609   0.486389880  -3.3810893   5.3272809  -9.0461303   1.6678739   8.39113899
## 610   0.486389880  -3.3810893   5.3272809  -9.0461303   1.6678739   8.39113899
## 611   0.486389880  -3.3810893   5.3272809  -9.0461303   1.6678739   8.39113899
## 612   0.486389880  -3.3810893   5.3272809  -9.0461303   1.6678739   8.39113899
## 613   0.486389880  -3.3810893   5.3272809  -9.0461303   1.6678739   8.39113899
## 614   0.486389880  -3.3810893   5.3272809  -9.0461303   1.6678739   8.39113899
## 615   0.486389880  -3.3810893   5.3272809  -9.0461303   1.6678739   8.39113899
## 616   0.486389880  -3.3810893   5.3272809  -9.0461303   1.6678739   8.39113899
## 617   6.877085117 -12.2017571   1.9258201  -1.7380250   1.3861530   4.34974286
## 618   6.877085117 -12.2017571   1.9258201  -1.7380250   1.3861530   4.34974286
## 619   6.877085117 -12.2017571   1.9258201  -1.7380250   1.3861530   4.34974286
## 620   6.877085117 -12.2017571   1.9258201  -1.7380250   1.3861530   4.34974286
## 621   6.877085117 -12.2017571   1.9258201  -1.7380250   1.3861530   4.34974286
## 622   6.877085117 -12.2017571   1.9258201  -1.7380250   1.3861530   4.34974286
## 623   6.877085117 -12.2017571   1.9258201  -1.7380250   1.3861530   4.34974286
## 624   6.877085117 -12.2017571   1.9258201  -1.7380250   1.3861530   4.34974286
## 625  -9.158126884   4.5872081   3.0712608  -9.1076554   6.2298200 -21.57887888
## 626  -9.158126884   4.5872081   3.0712608  -9.1076554   6.2298200 -21.57887888
## 627  -9.158126884   4.5872081   3.0712608  -9.1076554   6.2298200 -21.57887888
## 628  -9.158126884   4.5872081   3.0712608  -9.1076554   6.2298200 -21.57887888
## 629  -9.158126884   4.5872081   3.0712608  -9.1076554   6.2298200 -21.57887888
## 630  -9.158126884   4.5872081   3.0712608  -9.1076554   6.2298200 -21.57887888
## 631  -9.158126884   4.5872081   3.0712608  -9.1076554   6.2298200 -21.57887888
## 632  -9.158126884   4.5872081   3.0712608  -9.1076554   6.2298200 -21.57887888
## 633  -1.857006465  -2.2890788  -2.6172485   4.1506238   3.1954881   0.06822724
## 634  -1.857006465  -2.2890788  -2.6172485   4.1506238   3.1954881   0.06822724
## 635  -1.857006465  -2.2890788  -2.6172485   4.1506238   3.1954881   0.06822724
## 636  -1.857006465  -2.2890788  -2.6172485   4.1506238   3.1954881   0.06822724
## 637  -1.857006465  -2.2890788  -2.6172485   4.1506238   3.1954881   0.06822724
## 638  -1.857006465  -2.2890788  -2.6172485   4.1506238   3.1954881   0.06822724
## 639  -1.857006465  -2.2890788  -2.6172485   4.1506238   3.1954881   0.06822724
## 640  -1.857006465  -2.2890788  -2.6172485   4.1506238   3.1954881   0.06822724
## 641 -14.281975746  36.3067401  28.3788439  -2.3524468   1.9409297  -4.45205288
## 642 -14.281975746  36.3067401  28.3788439  -2.3524468   1.9409297  -4.45205288
## 643 -14.281975746  36.3067401  28.3788439  -2.3524468   1.9409297  -4.45205288
## 644 -14.281975746  36.3067401  28.3788439  -2.3524468   1.9409297  -4.45205288
## 645 -14.281975746  36.3067401  28.3788439  -2.3524468   1.9409297  -4.45205288
## 646 -14.281975746  36.3067401  28.3788439  -2.3524468   1.9409297  -4.45205288
## 647 -14.281975746  36.3067401  28.3788439  -2.3524468   1.9409297  -4.45205288
## 648 -14.281975746  36.3067401  28.3788439  -2.3524468   1.9409297  -4.45205288
## 649   4.823713189   2.1996402  -0.7682393   0.7423546  -0.5937670  -3.17678336
## 650   4.823713189   2.1996402  -0.7682393   0.7423546  -0.5937670  -3.17678336
## 651   4.823713189   2.1996402  -0.7682393   0.7423546  -0.5937670  -3.17678336
## 652   4.823713189   2.1996402  -0.7682393   0.7423546  -0.5937670  -3.17678336
## 653   4.823713189   2.1996402  -0.7682393   0.7423546  -0.5937670  -3.17678336
## 654   4.823713189   2.1996402  -0.7682393   0.7423546  -0.5937670  -3.17678336
## 655   4.823713189   2.1996402  -0.7682393   0.7423546  -0.5937670  -3.17678336
## 656   4.823713189   2.1996402  -0.7682393   0.7423546  -0.5937670  -3.17678336
## 657  -4.616188186  29.8751814  -6.6592833 -12.3390423   6.9424751 -22.14332516
## 658  -4.616188186  29.8751814  -6.6592833 -12.3390423   6.9424751 -22.14332516
## 659  -4.616188186  29.8751814  -6.6592833 -12.3390423   6.9424751 -22.14332516
## 660  -4.616188186  29.8751814  -6.6592833 -12.3390423   6.9424751 -22.14332516
## 661  -4.616188186  29.8751814  -6.6592833 -12.3390423   6.9424751 -22.14332516
## 662  -4.616188186  29.8751814  -6.6592833 -12.3390423   6.9424751 -22.14332516
## 663  -4.616188186  29.8751814  -6.6592833 -12.3390423   6.9424751 -22.14332516
## 664  -4.616188186  29.8751814  -6.6592833 -12.3390423   6.9424751 -22.14332516
## 665   7.610387425  63.5080452 -57.3432551  -9.2745184  39.2188353   4.53063885
## 666   7.610387425  63.5080452 -57.3432551  -9.2745184  39.2188353   4.53063885
## 667   7.610387425  63.5080452 -57.3432551  -9.2745184  39.2188353   4.53063885
## 668   7.610387425  63.5080452 -57.3432551  -9.2745184  39.2188353   4.53063885
## 669   7.610387425  63.5080452 -57.3432551  -9.2745184  39.2188353   4.53063885
## 670   7.610387425  63.5080452 -57.3432551  -9.2745184  39.2188353   4.53063885
## 671   7.610387425  63.5080452 -57.3432551  -9.2745184  39.2188353   4.53063885
## 672   7.610387425  63.5080452 -57.3432551  -9.2745184  39.2188353   4.53063885
## 673   0.687972757   2.6832496   2.6286558   1.6775221  -0.7893935  -0.92363016
## 674   0.687972757   2.6832496   2.6286558   1.6775221  -0.7893935  -0.92363016
## 675   0.687972757   2.6832496   2.6286558   1.6775221  -0.7893935  -0.92363016
## 676   0.687972757   2.6832496   2.6286558   1.6775221  -0.7893935  -0.92363016
## 677   0.687972757   2.6832496   2.6286558   1.6775221  -0.7893935  -0.92363016
## 678   0.687972757   2.6832496   2.6286558   1.6775221  -0.7893935  -0.92363016
## 679   0.687972757   2.6832496   2.6286558   1.6775221  -0.7893935  -0.92363016
## 680   0.687972757   2.6832496   2.6286558   1.6775221  -0.7893935  -0.92363016
## 681 -30.318657977  14.0331821  48.5684986   2.6734974  35.7410930  -8.07022697
## 682 -30.318657977  14.0331821  48.5684986   2.6734974  35.7410930  -8.07022697
## 683 -30.318657977  14.0331821  48.5684986   2.6734974  35.7410930  -8.07022697
## 684 -30.318657977  14.0331821  48.5684986   2.6734974  35.7410930  -8.07022697
## 685 -30.318657977  14.0331821  48.5684986   2.6734974  35.7410930  -8.07022697
## 686 -30.318657977  14.0331821  48.5684986   2.6734974  35.7410930  -8.07022697
## 687 -30.318657977  14.0331821  48.5684986   2.6734974  35.7410930  -8.07022697
## 688 -30.318657977  14.0331821  48.5684986   2.6734974  35.7410930  -8.07022697
## 689   1.297787484  -3.2979474  -2.2638722  -3.1718686   1.1160871   1.65759721
## 690   1.297787484  -3.2979474  -2.2638722  -3.1718686   1.1160871   1.65759721
## 691   1.297787484  -3.2979474  -2.2638722  -3.1718686   1.1160871   1.65759721
## 692   1.297787484  -3.2979474  -2.2638722  -3.1718686   1.1160871   1.65759721
## 693   1.297787484  -3.2979474  -2.2638722  -3.1718686   1.1160871   1.65759721
## 694   1.297787484  -3.2979474  -2.2638722  -3.1718686   1.1160871   1.65759721
## 695   1.297787484  -3.2979474  -2.2638722  -3.1718686   1.1160871   1.65759721
## 696   1.297787484  -3.2979474  -2.2638722  -3.1718686   1.1160871   1.65759721
## 697 -10.714262368  10.6466141  30.3064663   4.3547765   8.7290804  14.57955770
## 698 -10.714262368  10.6466141  30.3064663   4.3547765   8.7290804  14.57955770
## 699 -10.714262368  10.6466141  30.3064663   4.3547765   8.7290804  14.57955770
## 700 -10.714262368  10.6466141  30.3064663   4.3547765   8.7290804  14.57955770
## 701 -10.714262368  10.6466141  30.3064663   4.3547765   8.7290804  14.57955770
## 702 -10.714262368  10.6466141  30.3064663   4.3547765   8.7290804  14.57955770
## 703 -10.714262368  10.6466141  30.3064663   4.3547765   8.7290804  14.57955770
## 704 -10.714262368  10.6466141  30.3064663   4.3547765   8.7290804  14.57955770
## 705  -1.451101124  -0.5212732   3.4493909  -3.6503149   1.0110808   2.15743924
## 706  -1.451101124  -0.5212732   3.4493909  -3.6503149   1.0110808   2.15743924
## 707  -1.451101124  -0.5212732   3.4493909  -3.6503149   1.0110808   2.15743924
## 708  -1.451101124  -0.5212732   3.4493909  -3.6503149   1.0110808   2.15743924
## 709  -1.451101124  -0.5212732   3.4493909  -3.6503149   1.0110808   2.15743924
## 710  -1.451101124  -0.5212732   3.4493909  -3.6503149   1.0110808   2.15743924
## 711  -1.451101124  -0.5212732   3.4493909  -3.6503149   1.0110808   2.15743924
## 712  -1.451101124  -0.5212732   3.4493909  -3.6503149   1.0110808   2.15743924
## 713   1.235905217  -2.3794713   0.6818432  -2.7152681  -3.0812920   4.74359457
## 714   1.235905217  -2.3794713   0.6818432  -2.7152681  -3.0812920   4.74359457
## 715   1.235905217  -2.3794713   0.6818432  -2.7152681  -3.0812920   4.74359457
## 716   1.235905217  -2.3794713   0.6818432  -2.7152681  -3.0812920   4.74359457
## 717   1.235905217  -2.3794713   0.6818432  -2.7152681  -3.0812920   4.74359457
## 718   1.235905217  -2.3794713   0.6818432  -2.7152681  -3.0812920   4.74359457
## 719   1.235905217  -2.3794713   0.6818432  -2.7152681  -3.0812920   4.74359457
## 720   1.235905217  -2.3794713   0.6818432  -2.7152681  -3.0812920   4.74359457
## 721  -3.692272667   3.0192576  -3.0333295   3.2279479  -1.5889016   8.67933671
## 722  -3.692272667   3.0192576  -3.0333295   3.2279479  -1.5889016   8.67933671
## 723  -3.692272667   3.0192576  -3.0333295   3.2279479  -1.5889016   8.67933671
## 724  -3.692272667   3.0192576  -3.0333295   3.2279479  -1.5889016   8.67933671
## 725  -3.692272667   3.0192576  -3.0333295   3.2279479  -1.5889016   8.67933671
## 726  -3.692272667   3.0192576  -3.0333295   3.2279479  -1.5889016   8.67933671
## 727  -3.692272667   3.0192576  -3.0333295   3.2279479  -1.5889016   8.67933671
## 728  -3.692272667   3.0192576  -3.0333295   3.2279479  -1.5889016   8.67933671
## 729 -18.590377677 -10.4651928 -11.7446531   0.8320506 -31.2547503 -17.49664305
## 730 -18.590377677 -10.4651928 -11.7446531   0.8320506 -31.2547503 -17.49664305
## 731 -18.590377677 -10.4651928 -11.7446531   0.8320506 -31.2547503 -17.49664305
## 732 -18.590377677 -10.4651928 -11.7446531   0.8320506 -31.2547503 -17.49664305
## 733 -18.590377677 -10.4651928 -11.7446531   0.8320506 -31.2547503 -17.49664305
## 734 -18.590377677 -10.4651928 -11.7446531   0.8320506 -31.2547503 -17.49664305
## 735 -18.590377677 -10.4651928 -11.7446531   0.8320506 -31.2547503 -17.49664305
## 736 -18.590377677 -10.4651928 -11.7446531   0.8320506 -31.2547503 -17.49664305
## 737   0.559911153  -5.9588143   2.7260667   1.2638344   1.0417951  -1.73822667
## 738   0.559911153  -5.9588143   2.7260667   1.2638344   1.0417951  -1.73822667
## 739   0.559911153  -5.9588143   2.7260667   1.2638344   1.0417951  -1.73822667
## 740   0.559911153  -5.9588143   2.7260667   1.2638344   1.0417951  -1.73822667
## 741   0.559911153  -5.9588143   2.7260667   1.2638344   1.0417951  -1.73822667
## 742   0.559911153  -5.9588143   2.7260667   1.2638344   1.0417951  -1.73822667
## 743   0.559911153  -5.9588143   2.7260667   1.2638344   1.0417951  -1.73822667
## 744   0.559911153  -5.9588143   2.7260667   1.2638344   1.0417951  -1.73822667
## 745   0.445942505  -0.3342750   3.4574216  -1.0029138   1.4406223   2.47622556
## 746   0.445942505  -0.3342750   3.4574216  -1.0029138   1.4406223   2.47622556
## 747   0.445942505  -0.3342750   3.4574216  -1.0029138   1.4406223   2.47622556
## 748   0.445942505  -0.3342750   3.4574216  -1.0029138   1.4406223   2.47622556
## 749   0.445942505  -0.3342750   3.4574216  -1.0029138   1.4406223   2.47622556
## 750   0.445942505  -0.3342750   3.4574216  -1.0029138   1.4406223   2.47622556
## 751   0.445942505  -0.3342750   3.4574216  -1.0029138   1.4406223   2.47622556
## 752   0.445942505  -0.3342750   3.4574216  -1.0029138   1.4406223   2.47622556
## 753  -4.418779095   1.9234113   3.6719108   0.4782737  10.5905927   6.81136695
## 754  -4.418779095   1.9234113   3.6719108   0.4782737  10.5905927   6.81136695
## 755  -4.418779095   1.9234113   3.6719108   0.4782737  10.5905927   6.81136695
## 756  -4.418779095   1.9234113   3.6719108   0.4782737  10.5905927   6.81136695
## 757  -4.418779095   1.9234113   3.6719108   0.4782737  10.5905927   6.81136695
## 758  -4.418779095   1.9234113   3.6719108   0.4782737  10.5905927   6.81136695
## 759  -4.418779095   1.9234113   3.6719108   0.4782737  10.5905927   6.81136695
## 760  -4.418779095   1.9234113   3.6719108   0.4782737  10.5905927   6.81136695
## 761  -2.354084365  -7.4299409   2.9350288  -2.7505537   4.4367837   0.30603186
## 762  -2.354084365  -7.4299409   2.9350288  -2.7505537   4.4367837   0.30603186
## 763  -2.354084365  -7.4299409   2.9350288  -2.7505537   4.4367837   0.30603186
## 764  -2.354084365  -7.4299409   2.9350288  -2.7505537   4.4367837   0.30603186
## 765  -2.354084365  -7.4299409   2.9350288  -2.7505537   4.4367837   0.30603186
## 766  -2.354084365  -7.4299409   2.9350288  -2.7505537   4.4367837   0.30603186
## 767  -2.354084365  -7.4299409   2.9350288  -2.7505537   4.4367837   0.30603186
## 768  -2.354084365  -7.4299409   2.9350288  -2.7505537   4.4367837   0.30603186
## 769  -1.962723866  -4.4939801   1.7810155  -2.7728089  -2.0422987   4.74171058
## 770  -1.962723866  -4.4939801   1.7810155  -2.7728089  -2.0422987   4.74171058
## 771  -1.962723866  -4.4939801   1.7810155  -2.7728089  -2.0422987   4.74171058
## 772  -1.962723866  -4.4939801   1.7810155  -2.7728089  -2.0422987   4.74171058
## 773  -1.962723866  -4.4939801   1.7810155  -2.7728089  -2.0422987   4.74171058
## 774  -1.962723866  -4.4939801   1.7810155  -2.7728089  -2.0422987   4.74171058
## 775  -1.962723866  -4.4939801   1.7810155  -2.7728089  -2.0422987   4.74171058
## 776  -1.962723866  -4.4939801   1.7810155  -2.7728089  -2.0422987   4.74171058
## 777  -1.117864501  -7.3090814  -2.2863602  -2.9828740   9.3660469  22.87991722
## 778  -1.117864501  -7.3090814  -2.2863602  -2.9828740   9.3660469  22.87991722
## 779  -1.117864501  -7.3090814  -2.2863602  -2.9828740   9.3660469  22.87991722
## 780  -1.117864501  -7.3090814  -2.2863602  -2.9828740   9.3660469  22.87991722
## 781  -1.117864501  -7.3090814  -2.2863602  -2.9828740   9.3660469  22.87991722
## 782  -1.117864501  -7.3090814  -2.2863602  -2.9828740   9.3660469  22.87991722
## 783  -1.117864501  -7.3090814  -2.2863602  -2.9828740   9.3660469  22.87991722
## 784  -1.117864501  -7.3090814  -2.2863602  -2.9828740   9.3660469  22.87991722
## 785  15.481835441 -11.1523703   5.4732597   1.4447109   3.1867772   0.25249042
## 786  15.481835441 -11.1523703   5.4732597   1.4447109   3.1867772   0.25249042
## 787  15.481835441 -11.1523703   5.4732597   1.4447109   3.1867772   0.25249042
## 788  15.481835441 -11.1523703   5.4732597   1.4447109   3.1867772   0.25249042
## 789  15.481835441 -11.1523703   5.4732597   1.4447109   3.1867772   0.25249042
## 790  15.481835441 -11.1523703   5.4732597   1.4447109   3.1867772   0.25249042
## 791  15.481835441 -11.1523703   5.4732597   1.4447109   3.1867772   0.25249042
## 792  15.481835441 -11.1523703   5.4732597   1.4447109   3.1867772   0.25249042
## 793  -3.791399395  -6.1163475 -12.7708727  14.8595867  32.9179030  -3.07381334
## 794  -3.791399395  -6.1163475 -12.7708727  14.8595867  32.9179030  -3.07381334
## 795  -3.791399395  -6.1163475 -12.7708727  14.8595867  32.9179030  -3.07381334
## 796  -3.791399395  -6.1163475 -12.7708727  14.8595867  32.9179030  -3.07381334
## 797  -3.791399395  -6.1163475 -12.7708727  14.8595867  32.9179030  -3.07381334
## 798  -3.791399395  -6.1163475 -12.7708727  14.8595867  32.9179030  -3.07381334
## 799  -3.791399395  -6.1163475 -12.7708727  14.8595867  32.9179030  -3.07381334
##        PC26_score   PC27_score    PC28_score   PC29_score   PC30_score
## 1     3.131320116  -2.89665769   3.524453334   2.78709636   7.60099827
## 2     3.131320116  -2.89665769   3.524453334   2.78709636   7.60099827
## 3     3.131320116  -2.89665769   3.524453334   2.78709636   7.60099827
## 4     3.131320116  -2.89665769   3.524453334   2.78709636   7.60099827
## 5     3.131320116  -2.89665769   3.524453334   2.78709636   7.60099827
## 6     3.131320116  -2.89665769   3.524453334   2.78709636   7.60099827
## 7     3.131320116  -2.89665769   3.524453334   2.78709636   7.60099827
## 8     3.131320116  -2.89665769   3.524453334   2.78709636   7.60099827
## 9    -2.297117408   5.24123691  -3.217537414  -1.07040208  -1.67762151
## 10   -2.297117408   5.24123691  -3.217537414  -1.07040208  -1.67762151
## 11   -2.297117408   5.24123691  -3.217537414  -1.07040208  -1.67762151
## 12   -2.297117408   5.24123691  -3.217537414  -1.07040208  -1.67762151
## 13   -2.297117408   5.24123691  -3.217537414  -1.07040208  -1.67762151
## 14   -2.297117408   5.24123691  -3.217537414  -1.07040208  -1.67762151
## 15   -2.297117408   5.24123691  -3.217537414  -1.07040208  -1.67762151
## 16   -2.297117408   5.24123691  -3.217537414  -1.07040208  -1.67762151
## 17   12.545276570  30.06770072 -34.050393161 -21.83285839  26.38077382
## 18   12.545276570  30.06770072 -34.050393161 -21.83285839  26.38077382
## 19   12.545276570  30.06770072 -34.050393161 -21.83285839  26.38077382
## 20   12.545276570  30.06770072 -34.050393161 -21.83285839  26.38077382
## 21   12.545276570  30.06770072 -34.050393161 -21.83285839  26.38077382
## 22   12.545276570  30.06770072 -34.050393161 -21.83285839  26.38077382
## 23   12.545276570  30.06770072 -34.050393161 -21.83285839  26.38077382
## 24   12.545276570  30.06770072 -34.050393161 -21.83285839  26.38077382
## 25  -12.873207900   9.32274781  11.820214904 -16.09203167   3.26052866
## 26  -12.873207900   9.32274781  11.820214904 -16.09203167   3.26052866
## 27  -12.873207900   9.32274781  11.820214904 -16.09203167   3.26052866
## 28  -12.873207900   9.32274781  11.820214904 -16.09203167   3.26052866
## 29  -12.873207900   9.32274781  11.820214904 -16.09203167   3.26052866
## 30  -12.873207900   9.32274781  11.820214904 -16.09203167   3.26052866
## 31  -12.873207900   9.32274781  11.820214904 -16.09203167   3.26052866
## 32  -12.873207900   9.32274781  11.820214904 -16.09203167   3.26052866
## 33   -1.845939859   8.53674191 -11.329149130  -2.43862693   1.77626680
## 34   -1.845939859   8.53674191 -11.329149130  -2.43862693   1.77626680
## 35   -1.845939859   8.53674191 -11.329149130  -2.43862693   1.77626680
## 36   -1.845939859   8.53674191 -11.329149130  -2.43862693   1.77626680
## 37   -1.845939859   8.53674191 -11.329149130  -2.43862693   1.77626680
## 38   -1.845939859   8.53674191 -11.329149130  -2.43862693   1.77626680
## 39   -1.845939859   8.53674191 -11.329149130  -2.43862693   1.77626680
## 40   -1.845939859   8.53674191 -11.329149130  -2.43862693   1.77626680
## 41   -1.315339358  -4.13424665  -0.408095450  -0.59544680   1.28039791
## 42   -1.315339358  -4.13424665  -0.408095450  -0.59544680   1.28039791
## 43   -1.315339358  -4.13424665  -0.408095450  -0.59544680   1.28039791
## 44   -1.315339358  -4.13424665  -0.408095450  -0.59544680   1.28039791
## 45   -1.315339358  -4.13424665  -0.408095450  -0.59544680   1.28039791
## 46   -1.315339358  -4.13424665  -0.408095450  -0.59544680   1.28039791
## 47   -1.315339358  -4.13424665  -0.408095450  -0.59544680   1.28039791
## 48   -1.315339358  -4.13424665  -0.408095450  -0.59544680   1.28039791
## 49  -27.450519501  17.27084963  14.338978479 -11.37100949   1.36808093
## 50  -27.450519501  17.27084963  14.338978479 -11.37100949   1.36808093
## 51  -27.450519501  17.27084963  14.338978479 -11.37100949   1.36808093
## 52  -27.450519501  17.27084963  14.338978479 -11.37100949   1.36808093
## 53  -27.450519501  17.27084963  14.338978479 -11.37100949   1.36808093
## 54  -27.450519501  17.27084963  14.338978479 -11.37100949   1.36808093
## 55  -27.450519501  17.27084963  14.338978479 -11.37100949   1.36808093
## 56  -27.450519501  17.27084963  14.338978479 -11.37100949   1.36808093
## 57   10.957289439   8.17173586  -2.543153102 -18.81063452   0.05666564
## 58   10.957289439   8.17173586  -2.543153102 -18.81063452   0.05666564
## 59   10.957289439   8.17173586  -2.543153102 -18.81063452   0.05666564
## 60   10.957289439   8.17173586  -2.543153102 -18.81063452   0.05666564
## 61   10.957289439   8.17173586  -2.543153102 -18.81063452   0.05666564
## 62   10.957289439   8.17173586  -2.543153102 -18.81063452   0.05666564
## 63   10.957289439   8.17173586  -2.543153102 -18.81063452   0.05666564
## 64   10.957289439   8.17173586  -2.543153102 -18.81063452   0.05666564
## 65   -5.148620311  21.17921191  -9.636012407 -11.08658750  13.87266970
## 66   -5.148620311  21.17921191  -9.636012407 -11.08658750  13.87266970
## 67   -5.148620311  21.17921191  -9.636012407 -11.08658750  13.87266970
## 68   -5.148620311  21.17921191  -9.636012407 -11.08658750  13.87266970
## 69   -5.148620311  21.17921191  -9.636012407 -11.08658750  13.87266970
## 70   -5.148620311  21.17921191  -9.636012407 -11.08658750  13.87266970
## 71   -5.148620311  21.17921191  -9.636012407 -11.08658750  13.87266970
## 72   -5.148620311  21.17921191  -9.636012407 -11.08658750  13.87266970
## 73    7.583775526  16.03277323  -8.971864393  -4.64579815  18.63111845
## 74    7.583775526  16.03277323  -8.971864393  -4.64579815  18.63111845
## 75    7.583775526  16.03277323  -8.971864393  -4.64579815  18.63111845
## 76    7.583775526  16.03277323  -8.971864393  -4.64579815  18.63111845
## 77    7.583775526  16.03277323  -8.971864393  -4.64579815  18.63111845
## 78    7.583775526  16.03277323  -8.971864393  -4.64579815  18.63111845
## 79    7.583775526  16.03277323  -8.971864393  -4.64579815  18.63111845
## 80    7.583775526  16.03277323  -8.971864393  -4.64579815  18.63111845
## 81   10.718811279   3.12995067  -5.837319462   0.92620472   4.17529860
## 82   10.718811279   3.12995067  -5.837319462   0.92620472   4.17529860
## 83   10.718811279   3.12995067  -5.837319462   0.92620472   4.17529860
## 84   10.718811279   3.12995067  -5.837319462   0.92620472   4.17529860
## 85   10.718811279   3.12995067  -5.837319462   0.92620472   4.17529860
## 86   10.718811279   3.12995067  -5.837319462   0.92620472   4.17529860
## 87   10.718811279   3.12995067  -5.837319462   0.92620472   4.17529860
## 88   10.718811279   3.12995067  -5.837319462   0.92620472   4.17529860
## 89    7.387741535 -65.19715491 -18.039698550 -34.34484448  10.99263888
## 90    7.387741535 -65.19715491 -18.039698550 -34.34484448  10.99263888
## 91    7.387741535 -65.19715491 -18.039698550 -34.34484448  10.99263888
## 92    7.387741535 -65.19715491 -18.039698550 -34.34484448  10.99263888
## 93    7.387741535 -65.19715491 -18.039698550 -34.34484448  10.99263888
## 94    7.387741535 -65.19715491 -18.039698550 -34.34484448  10.99263888
## 95    7.387741535 -65.19715491 -18.039698550 -34.34484448  10.99263888
## 96    7.387741535 -65.19715491 -18.039698550 -34.34484448  10.99263888
## 97   -5.588980271   1.28044151   6.181767337  -4.16098176   2.86664791
## 98   -5.588980271   1.28044151   6.181767337  -4.16098176   2.86664791
## 99   -5.588980271   1.28044151   6.181767337  -4.16098176   2.86664791
## 100  -5.588980271   1.28044151   6.181767337  -4.16098176   2.86664791
## 101  -5.588980271   1.28044151   6.181767337  -4.16098176   2.86664791
## 102  -5.588980271   1.28044151   6.181767337  -4.16098176   2.86664791
## 103  -5.588980271   1.28044151   6.181767337  -4.16098176   2.86664791
## 104  -5.588980271   1.28044151   6.181767337  -4.16098176   2.86664791
## 105   2.553203047   3.57452250   0.991275969   3.86071514   7.56268247
## 106   2.553203047   3.57452250   0.991275969   3.86071514   7.56268247
## 107   2.553203047   3.57452250   0.991275969   3.86071514   7.56268247
## 108   2.553203047   3.57452250   0.991275969   3.86071514   7.56268247
## 109   2.553203047   3.57452250   0.991275969   3.86071514   7.56268247
## 110   2.553203047   3.57452250   0.991275969   3.86071514   7.56268247
## 111   2.553203047   3.57452250   0.991275969   3.86071514   7.56268247
## 112   2.553203047   3.57452250   0.991275969   3.86071514   7.56268247
## 113 -12.665558326 -34.42008587  -3.540254293   3.78529105  -4.65550050
## 114 -12.665558326 -34.42008587  -3.540254293   3.78529105  -4.65550050
## 115 -12.665558326 -34.42008587  -3.540254293   3.78529105  -4.65550050
## 116 -12.665558326 -34.42008587  -3.540254293   3.78529105  -4.65550050
## 117 -12.665558326 -34.42008587  -3.540254293   3.78529105  -4.65550050
## 118 -12.665558326 -34.42008587  -3.540254293   3.78529105  -4.65550050
## 119 -12.665558326 -34.42008587  -3.540254293   3.78529105  -4.65550050
## 120 -12.665558326 -34.42008587  -3.540254293   3.78529105  -4.65550050
## 121 -14.927834297  21.77204263  10.078342557   0.03769650   3.99434274
## 122 -14.927834297  21.77204263  10.078342557   0.03769650   3.99434274
## 123 -14.927834297  21.77204263  10.078342557   0.03769650   3.99434274
## 124 -14.927834297  21.77204263  10.078342557   0.03769650   3.99434274
## 125 -14.927834297  21.77204263  10.078342557   0.03769650   3.99434274
## 126 -14.927834297  21.77204263  10.078342557   0.03769650   3.99434274
## 127 -14.927834297  21.77204263  10.078342557   0.03769650   3.99434274
## 128 -14.927834297  21.77204263  10.078342557   0.03769650   3.99434274
## 129 -12.377921360  20.91260088  -2.700931277   0.39281743   0.98420396
## 130 -12.377921360  20.91260088  -2.700931277   0.39281743   0.98420396
## 131 -12.377921360  20.91260088  -2.700931277   0.39281743   0.98420396
## 132 -12.377921360  20.91260088  -2.700931277   0.39281743   0.98420396
## 133 -12.377921360  20.91260088  -2.700931277   0.39281743   0.98420396
## 134 -12.377921360  20.91260088  -2.700931277   0.39281743   0.98420396
## 135 -12.377921360  20.91260088  -2.700931277   0.39281743   0.98420396
## 136 -12.377921360  20.91260088  -2.700931277   0.39281743   0.98420396
## 137  -3.743920267  -0.74752395   8.788301265   7.53171798   0.34935745
## 138  -3.743920267  -0.74752395   8.788301265   7.53171798   0.34935745
## 139  -3.743920267  -0.74752395   8.788301265   7.53171798   0.34935745
## 140  -3.743920267  -0.74752395   8.788301265   7.53171798   0.34935745
## 141  -3.743920267  -0.74752395   8.788301265   7.53171798   0.34935745
## 142  -3.743920267  -0.74752395   8.788301265   7.53171798   0.34935745
## 143  -3.743920267  -0.74752395   8.788301265   7.53171798   0.34935745
## 144  -3.743920267  -0.74752395   8.788301265   7.53171798   0.34935745
## 145   7.632962788   8.51940210  -5.517638251   7.95770821   2.66662511
## 146   7.632962788   8.51940210  -5.517638251   7.95770821   2.66662511
## 147   7.632962788   8.51940210  -5.517638251   7.95770821   2.66662511
## 148   7.632962788   8.51940210  -5.517638251   7.95770821   2.66662511
## 149   7.632962788   8.51940210  -5.517638251   7.95770821   2.66662511
## 150   7.632962788   8.51940210  -5.517638251   7.95770821   2.66662511
## 151   7.632962788   8.51940210  -5.517638251   7.95770821   2.66662511
## 152   7.632962788   8.51940210  -5.517638251   7.95770821   2.66662511
## 153  19.275458931  18.20928212   3.901491821  -0.69897888  -0.43538340
## 154  19.275458931  18.20928212   3.901491821  -0.69897888  -0.43538340
## 155  19.275458931  18.20928212   3.901491821  -0.69897888  -0.43538340
## 156  19.275458931  18.20928212   3.901491821  -0.69897888  -0.43538340
## 157  19.275458931  18.20928212   3.901491821  -0.69897888  -0.43538340
## 158  19.275458931  18.20928212   3.901491821  -0.69897888  -0.43538340
## 159  19.275458931  18.20928212   3.901491821  -0.69897888  -0.43538340
## 160  19.275458931  18.20928212   3.901491821  -0.69897888  -0.43538340
## 161 -11.127722467   2.76237038   9.713435833 -13.88151046  -3.85437340
## 162 -11.127722467   2.76237038   9.713435833 -13.88151046  -3.85437340
## 163 -11.127722467   2.76237038   9.713435833 -13.88151046  -3.85437340
## 164 -11.127722467   2.76237038   9.713435833 -13.88151046  -3.85437340
## 165 -11.127722467   2.76237038   9.713435833 -13.88151046  -3.85437340
## 166 -11.127722467   2.76237038   9.713435833 -13.88151046  -3.85437340
## 167 -11.127722467   2.76237038   9.713435833 -13.88151046  -3.85437340
## 168 -11.127722467   2.76237038   9.713435833 -13.88151046  -3.85437340
## 169  -4.337299073   3.28126919   5.055722738   1.29000689   1.08264428
## 170  -4.337299073   3.28126919   5.055722738   1.29000689   1.08264428
## 171  -4.337299073   3.28126919   5.055722738   1.29000689   1.08264428
## 172  -4.337299073   3.28126919   5.055722738   1.29000689   1.08264428
## 173  -4.337299073   3.28126919   5.055722738   1.29000689   1.08264428
## 174  -4.337299073   3.28126919   5.055722738   1.29000689   1.08264428
## 175  -4.337299073   3.28126919   5.055722738   1.29000689   1.08264428
## 176  -4.337299073   3.28126919   5.055722738   1.29000689   1.08264428
## 177  -3.463822422   1.84577151   6.157599547  -0.52271232   0.36022947
## 178  -3.463822422   1.84577151   6.157599547  -0.52271232   0.36022947
## 179  -3.463822422   1.84577151   6.157599547  -0.52271232   0.36022947
## 180  -3.463822422   1.84577151   6.157599547  -0.52271232   0.36022947
## 181  -3.463822422   1.84577151   6.157599547  -0.52271232   0.36022947
## 182  -3.463822422   1.84577151   6.157599547  -0.52271232   0.36022947
## 183  -3.463822422   1.84577151   6.157599547  -0.52271232   0.36022947
## 184  -3.463822422   1.84577151   6.157599547  -0.52271232   0.36022947
## 185  22.223479024  -2.39003587 -13.081984586   6.59375664   4.58393471
## 186  22.223479024  -2.39003587 -13.081984586   6.59375664   4.58393471
## 187  22.223479024  -2.39003587 -13.081984586   6.59375664   4.58393471
## 188  22.223479024  -2.39003587 -13.081984586   6.59375664   4.58393471
## 189  22.223479024  -2.39003587 -13.081984586   6.59375664   4.58393471
## 190  22.223479024  -2.39003587 -13.081984586   6.59375664   4.58393471
## 191  22.223479024  -2.39003587 -13.081984586   6.59375664   4.58393471
## 192  22.223479024  -2.39003587 -13.081984586   6.59375664   4.58393471
## 193   5.164665063  -1.76683070  -1.423952686  -4.90873065  -5.87264713
## 194   5.164665063  -1.76683070  -1.423952686  -4.90873065  -5.87264713
## 195   5.164665063  -1.76683070  -1.423952686  -4.90873065  -5.87264713
## 196   5.164665063  -1.76683070  -1.423952686  -4.90873065  -5.87264713
## 197   5.164665063  -1.76683070  -1.423952686  -4.90873065  -5.87264713
## 198   5.164665063  -1.76683070  -1.423952686  -4.90873065  -5.87264713
## 199   5.164665063  -1.76683070  -1.423952686  -4.90873065  -5.87264713
## 200   5.164665063  -1.76683070  -1.423952686  -4.90873065  -5.87264713
## 201  46.563403140 -17.10978063   5.153899929  -3.56665746 -81.34049679
## 202  46.563403140 -17.10978063   5.153899929  -3.56665746 -81.34049679
## 203  46.563403140 -17.10978063   5.153899929  -3.56665746 -81.34049679
## 204  46.563403140 -17.10978063   5.153899929  -3.56665746 -81.34049679
## 205  46.563403140 -17.10978063   5.153899929  -3.56665746 -81.34049679
## 206  46.563403140 -17.10978063   5.153899929  -3.56665746 -81.34049679
## 207  46.563403140 -17.10978063   5.153899929  -3.56665746 -81.34049679
## 208  46.563403140 -17.10978063   5.153899929  -3.56665746 -81.34049679
## 209   6.236422022  -0.96246295   4.230510006   1.21987912   3.32848948
## 210   6.236422022  -0.96246295   4.230510006   1.21987912   3.32848948
## 211   6.236422022  -0.96246295   4.230510006   1.21987912   3.32848948
## 212   6.236422022  -0.96246295   4.230510006   1.21987912   3.32848948
## 213   6.236422022  -0.96246295   4.230510006   1.21987912   3.32848948
## 214   6.236422022  -0.96246295   4.230510006   1.21987912   3.32848948
## 215   6.236422022  -0.96246295   4.230510006   1.21987912   3.32848948
## 216   6.236422022  -0.96246295   4.230510006   1.21987912   3.32848948
## 217   2.263332653  -0.29710335   2.026314616  -2.36112825   3.39347702
## 218   2.263332653  -0.29710335   2.026314616  -2.36112825   3.39347702
## 219   2.263332653  -0.29710335   2.026314616  -2.36112825   3.39347702
## 220   2.263332653  -0.29710335   2.026314616  -2.36112825   3.39347702
## 221   2.263332653  -0.29710335   2.026314616  -2.36112825   3.39347702
## 222   2.263332653  -0.29710335   2.026314616  -2.36112825   3.39347702
## 223   2.263332653  -0.29710335   2.026314616  -2.36112825   3.39347702
## 224   2.263332653  -0.29710335   2.026314616  -2.36112825   3.39347702
## 225  -3.442855883   1.24478109   0.751633375  -0.22419370   1.33396261
## 226  -3.442855883   1.24478109   0.751633375  -0.22419370   1.33396261
## 227  -3.442855883   1.24478109   0.751633375  -0.22419370   1.33396261
## 228  -3.442855883   1.24478109   0.751633375  -0.22419370   1.33396261
## 229  -3.442855883   1.24478109   0.751633375  -0.22419370   1.33396261
## 230  -3.442855883   1.24478109   0.751633375  -0.22419370   1.33396261
## 231  -3.442855883   1.24478109   0.751633375  -0.22419370   1.33396261
## 232  -3.442855883   1.24478109   0.751633375  -0.22419370   1.33396261
## 233   7.731553841 -45.02472770 -31.128946931 -14.29679319 -10.18092244
## 234   7.731553841 -45.02472770 -31.128946931 -14.29679319 -10.18092244
## 235   7.731553841 -45.02472770 -31.128946931 -14.29679319 -10.18092244
## 236   7.731553841 -45.02472770 -31.128946931 -14.29679319 -10.18092244
## 237   7.731553841 -45.02472770 -31.128946931 -14.29679319 -10.18092244
## 238   7.731553841 -45.02472770 -31.128946931 -14.29679319 -10.18092244
## 239   7.731553841 -45.02472770 -31.128946931 -14.29679319 -10.18092244
## 240   7.731553841 -45.02472770 -31.128946931 -14.29679319 -10.18092244
## 241  -5.438999185   2.92148673   5.196264993   2.90716435   7.79860306
## 242  -5.438999185   2.92148673   5.196264993   2.90716435   7.79860306
## 243  -5.438999185   2.92148673   5.196264993   2.90716435   7.79860306
## 244  -5.438999185   2.92148673   5.196264993   2.90716435   7.79860306
## 245  -5.438999185   2.92148673   5.196264993   2.90716435   7.79860306
## 246  -5.438999185   2.92148673   5.196264993   2.90716435   7.79860306
## 247  -5.438999185   2.92148673   5.196264993   2.90716435   7.79860306
## 248  -5.438999185   2.92148673   5.196264993   2.90716435   7.79860306
## 249   0.862353102  12.10966088  -0.868429347   0.77867579   4.10329155
## 250   0.862353102  12.10966088  -0.868429347   0.77867579   4.10329155
## 251   0.862353102  12.10966088  -0.868429347   0.77867579   4.10329155
## 252   0.862353102  12.10966088  -0.868429347   0.77867579   4.10329155
## 253   0.862353102  12.10966088  -0.868429347   0.77867579   4.10329155
## 254   0.862353102  12.10966088  -0.868429347   0.77867579   4.10329155
## 255   0.862353102  12.10966088  -0.868429347   0.77867579   4.10329155
## 256   0.862353102  12.10966088  -0.868429347   0.77867579   4.10329155
## 257  -5.462133811   6.96691459   6.577447289  -0.44577081  -1.90016258
## 258  -5.462133811   6.96691459   6.577447289  -0.44577081  -1.90016258
## 259  -5.462133811   6.96691459   6.577447289  -0.44577081  -1.90016258
## 260  -5.462133811   6.96691459   6.577447289  -0.44577081  -1.90016258
## 261  -5.462133811   6.96691459   6.577447289  -0.44577081  -1.90016258
## 262  -5.462133811   6.96691459   6.577447289  -0.44577081  -1.90016258
## 263  -5.462133811   6.96691459   6.577447289  -0.44577081  -1.90016258
## 264  -5.462133811   6.96691459   6.577447289  -0.44577081  -1.90016258
## 265   1.509771681 -10.36692185  -6.563090752   8.87333509 -25.40586133
## 266   1.509771681 -10.36692185  -6.563090752   8.87333509 -25.40586133
## 267   1.509771681 -10.36692185  -6.563090752   8.87333509 -25.40586133
## 268   1.509771681 -10.36692185  -6.563090752   8.87333509 -25.40586133
## 269   1.509771681 -10.36692185  -6.563090752   8.87333509 -25.40586133
## 270   1.509771681 -10.36692185  -6.563090752   8.87333509 -25.40586133
## 271   1.509771681 -10.36692185  -6.563090752   8.87333509 -25.40586133
## 272   1.509771681 -10.36692185  -6.563090752   8.87333509 -25.40586133
## 273  -8.785106237 -18.05091294  23.413636298  10.24843218  33.38980236
## 274  -8.785106237 -18.05091294  23.413636298  10.24843218  33.38980236
## 275  -8.785106237 -18.05091294  23.413636298  10.24843218  33.38980236
## 276  -8.785106237 -18.05091294  23.413636298  10.24843218  33.38980236
## 277  -8.785106237 -18.05091294  23.413636298  10.24843218  33.38980236
## 278  -8.785106237 -18.05091294  23.413636298  10.24843218  33.38980236
## 279  -8.785106237 -18.05091294  23.413636298  10.24843218  33.38980236
## 280  -8.785106237 -18.05091294  23.413636298  10.24843218  33.38980236
## 281 -22.560533352 -17.46838769  23.253539210  -6.89448549  11.87041487
## 282 -22.560533352 -17.46838769  23.253539210  -6.89448549  11.87041487
## 283 -22.560533352 -17.46838769  23.253539210  -6.89448549  11.87041487
## 284 -22.560533352 -17.46838769  23.253539210  -6.89448549  11.87041487
## 285 -22.560533352 -17.46838769  23.253539210  -6.89448549  11.87041487
## 286 -22.560533352 -17.46838769  23.253539210  -6.89448549  11.87041487
## 287 -22.560533352 -17.46838769  23.253539210  -6.89448549  11.87041487
## 288 -22.560533352 -17.46838769  23.253539210  -6.89448549  11.87041487
## 289 -10.661270616  -5.04015154  19.077804718   2.96452640  -2.91618946
## 290 -10.661270616  -5.04015154  19.077804718   2.96452640  -2.91618946
## 291 -10.661270616  -5.04015154  19.077804718   2.96452640  -2.91618946
## 292 -10.661270616  -5.04015154  19.077804718   2.96452640  -2.91618946
## 293 -10.661270616  -5.04015154  19.077804718   2.96452640  -2.91618946
## 294 -10.661270616  -5.04015154  19.077804718   2.96452640  -2.91618946
## 295 -10.661270616  -5.04015154  19.077804718   2.96452640  -2.91618946
## 296 -10.661270616  -5.04015154  19.077804718   2.96452640  -2.91618946
## 297  -5.378934236  -2.27205727  10.467328917   7.98546584   9.19894163
## 298  -5.378934236  -2.27205727  10.467328917   7.98546584   9.19894163
## 299  -5.378934236  -2.27205727  10.467328917   7.98546584   9.19894163
## 300  -5.378934236  -2.27205727  10.467328917   7.98546584   9.19894163
## 301  -5.378934236  -2.27205727  10.467328917   7.98546584   9.19894163
## 302  -5.378934236  -2.27205727  10.467328917   7.98546584   9.19894163
## 303  -5.378934236  -2.27205727  10.467328917   7.98546584   9.19894163
## 304  -5.378934236  -2.27205727  10.467328917   7.98546584   9.19894163
## 305  -1.591482284   5.27129299   2.195559852  -3.09010428   0.79489017
## 306  -1.591482284   5.27129299   2.195559852  -3.09010428   0.79489017
## 307  -1.591482284   5.27129299   2.195559852  -3.09010428   0.79489017
## 308  -1.591482284   5.27129299   2.195559852  -3.09010428   0.79489017
## 309  -1.591482284   5.27129299   2.195559852  -3.09010428   0.79489017
## 310  -1.591482284   5.27129299   2.195559852  -3.09010428   0.79489017
## 311  -1.591482284   5.27129299   2.195559852  -3.09010428   0.79489017
## 312  -1.591482284   5.27129299   2.195559852  -3.09010428   0.79489017
## 313  -9.145017158   0.52704018  13.347562617  17.61138678 -14.41716418
## 314  -9.145017158   0.52704018  13.347562617  17.61138678 -14.41716418
## 315  -9.145017158   0.52704018  13.347562617  17.61138678 -14.41716418
## 316  -9.145017158   0.52704018  13.347562617  17.61138678 -14.41716418
## 317  -9.145017158   0.52704018  13.347562617  17.61138678 -14.41716418
## 318  -9.145017158   0.52704018  13.347562617  17.61138678 -14.41716418
## 319  -9.145017158   0.52704018  13.347562617  17.61138678 -14.41716418
## 320  -9.145017158   0.52704018  13.347562617  17.61138678 -14.41716418
## 321   0.108170105 -16.09331932  36.305301816  26.71964797  13.63827422
## 322   0.108170105 -16.09331932  36.305301816  26.71964797  13.63827422
## 323   0.108170105 -16.09331932  36.305301816  26.71964797  13.63827422
## 324   0.108170105 -16.09331932  36.305301816  26.71964797  13.63827422
## 325   0.108170105 -16.09331932  36.305301816  26.71964797  13.63827422
## 326   0.108170105 -16.09331932  36.305301816  26.71964797  13.63827422
## 327   0.108170105 -16.09331932  36.305301816  26.71964797  13.63827422
## 328   0.108170105 -16.09331932  36.305301816  26.71964797  13.63827422
## 329  -7.203207489   1.28182334  14.734289563   2.84921610   7.68986766
## 330  -7.203207489   1.28182334  14.734289563   2.84921610   7.68986766
## 331  -7.203207489   1.28182334  14.734289563   2.84921610   7.68986766
## 332  -7.203207489   1.28182334  14.734289563   2.84921610   7.68986766
## 333  -7.203207489   1.28182334  14.734289563   2.84921610   7.68986766
## 334  -7.203207489   1.28182334  14.734289563   2.84921610   7.68986766
## 335  -7.203207489   1.28182334  14.734289563   2.84921610   7.68986766
## 336  -7.203207489   1.28182334  14.734289563   2.84921610   7.68986766
## 337   0.211147190  19.56825402 -53.524458194  29.89388945 -49.35149586
## 338   0.211147190  19.56825402 -53.524458194  29.89388945 -49.35149586
## 339   0.211147190  19.56825402 -53.524458194  29.89388945 -49.35149586
## 340   0.211147190  19.56825402 -53.524458194  29.89388945 -49.35149586
## 341   0.211147190  19.56825402 -53.524458194  29.89388945 -49.35149586
## 342   0.211147190  19.56825402 -53.524458194  29.89388945 -49.35149586
## 343   0.211147190  19.56825402 -53.524458194  29.89388945 -49.35149586
## 344   0.211147190  19.56825402 -53.524458194  29.89388945 -49.35149586
## 345  10.316024112  12.14162525 -38.095038495  25.03916181  39.25330103
## 346  10.316024112  12.14162525 -38.095038495  25.03916181  39.25330103
## 347  10.316024112  12.14162525 -38.095038495  25.03916181  39.25330103
## 348  10.316024112  12.14162525 -38.095038495  25.03916181  39.25330103
## 349  10.316024112  12.14162525 -38.095038495  25.03916181  39.25330103
## 350  10.316024112  12.14162525 -38.095038495  25.03916181  39.25330103
## 351  10.316024112  12.14162525 -38.095038495  25.03916181  39.25330103
## 352  10.316024112  12.14162525 -38.095038495  25.03916181  39.25330103
## 353   7.818041772   3.18620341  -6.204394952   0.49624436   1.29943160
## 354   7.818041772   3.18620341  -6.204394952   0.49624436   1.29943160
## 355   7.818041772   3.18620341  -6.204394952   0.49624436   1.29943160
## 356   7.818041772   3.18620341  -6.204394952   0.49624436   1.29943160
## 357   7.818041772   3.18620341  -6.204394952   0.49624436   1.29943160
## 358   7.818041772   3.18620341  -6.204394952   0.49624436   1.29943160
## 359   7.818041772   3.18620341  -6.204394952   0.49624436   1.29943160
## 360   7.818041772   3.18620341  -6.204394952   0.49624436   1.29943160
## 361  -0.961681159 -12.32131886   2.802058975 -10.42898918   4.73902858
## 362  -0.961681159 -12.32131886   2.802058975 -10.42898918   4.73902858
## 363  -0.961681159 -12.32131886   2.802058975 -10.42898918   4.73902858
## 364  -0.961681159 -12.32131886   2.802058975 -10.42898918   4.73902858
## 365  -0.961681159 -12.32131886   2.802058975 -10.42898918   4.73902858
## 366  -0.961681159 -12.32131886   2.802058975 -10.42898918   4.73902858
## 367  -0.961681159 -12.32131886   2.802058975 -10.42898918   4.73902858
## 368  -0.961681159 -12.32131886   2.802058975 -10.42898918   4.73902858
## 369   0.519195492  -6.96574610  -0.751495361   1.28986956  -7.09570599
## 370   0.519195492  -6.96574610  -0.751495361   1.28986956  -7.09570599
## 371   0.519195492  -6.96574610  -0.751495361   1.28986956  -7.09570599
## 372   0.519195492  -6.96574610  -0.751495361   1.28986956  -7.09570599
## 373   0.519195492  -6.96574610  -0.751495361   1.28986956  -7.09570599
## 374   0.519195492  -6.96574610  -0.751495361   1.28986956  -7.09570599
## 375   0.519195492  -6.96574610  -0.751495361   1.28986956  -7.09570599
## 376   0.519195492  -6.96574610  -0.751495361   1.28986956  -7.09570599
## 377  -5.085406079   4.98304469   0.252754189  -4.49857056   6.69783216
## 378  -5.085406079   4.98304469   0.252754189  -4.49857056   6.69783216
## 379  -5.085406079   4.98304469   0.252754189  -4.49857056   6.69783216
## 380  -5.085406079   4.98304469   0.252754189  -4.49857056   6.69783216
## 381  -5.085406079   4.98304469   0.252754189  -4.49857056   6.69783216
## 382  -5.085406079   4.98304469   0.252754189  -4.49857056   6.69783216
## 383  -5.085406079   4.98304469   0.252754189  -4.49857056   6.69783216
## 384  -5.085406079   4.98304469   0.252754189  -4.49857056   6.69783216
## 385  -1.918551653   6.92273599   2.381885884   2.15896798  -0.51691171
## 386  -1.918551653   6.92273599   2.381885884   2.15896798  -0.51691171
## 387  -1.918551653   6.92273599   2.381885884   2.15896798  -0.51691171
## 388  -1.918551653   6.92273599   2.381885884   2.15896798  -0.51691171
## 389  -1.918551653   6.92273599   2.381885884   2.15896798  -0.51691171
## 390  -1.918551653   6.92273599   2.381885884   2.15896798  -0.51691171
## 391  -1.918551653   6.92273599   2.381885884   2.15896798  -0.51691171
## 392  -1.918551653   6.92273599   2.381885884   2.15896798  -0.51691171
## 393   2.432376719   4.96225593  -1.668246943   1.35485820   0.55051587
## 394   2.432376719   4.96225593  -1.668246943   1.35485820   0.55051587
## 395   2.432376719   4.96225593  -1.668246943   1.35485820   0.55051587
## 396   2.432376719   4.96225593  -1.668246943   1.35485820   0.55051587
## 397   2.432376719   4.96225593  -1.668246943   1.35485820   0.55051587
## 398   2.432376719   4.96225593  -1.668246943   1.35485820   0.55051587
## 399   2.432376719   4.96225593  -1.668246943   1.35485820   0.55051587
## 400   2.432376719   4.96225593  -1.668246943   1.35485820   0.55051587
## 401 -19.061448544  -7.11580326  25.115244661  14.69338079  -1.07932100
## 402 -19.061448544  -7.11580326  25.115244661  14.69338079  -1.07932100
## 403 -19.061448544  -7.11580326  25.115244661  14.69338079  -1.07932100
## 404 -19.061448544  -7.11580326  25.115244661  14.69338079  -1.07932100
## 405 -19.061448544  -7.11580326  25.115244661  14.69338079  -1.07932100
## 406 -19.061448544  -7.11580326  25.115244661  14.69338079  -1.07932100
## 407 -19.061448544  -7.11580326  25.115244661  14.69338079  -1.07932100
## 408 -19.061448544  -7.11580326  25.115244661  14.69338079  -1.07932100
## 409 -10.405742038 -10.97754839  -0.098582692  14.38839774   7.99030325
## 410 -10.405742038 -10.97754839  -0.098582692  14.38839774   7.99030325
## 411 -10.405742038 -10.97754839  -0.098582692  14.38839774   7.99030325
## 412 -10.405742038 -10.97754839  -0.098582692  14.38839774   7.99030325
## 413 -10.405742038 -10.97754839  -0.098582692  14.38839774   7.99030325
## 414 -10.405742038 -10.97754839  -0.098582692  14.38839774   7.99030325
## 415 -10.405742038 -10.97754839  -0.098582692  14.38839774   7.99030325
## 416 -10.405742038 -10.97754839  -0.098582692  14.38839774   7.99030325
## 417   0.001407893  11.39153937  -0.785690030  -6.90659902   0.63128422
## 418   0.001407893  11.39153937  -0.785690030  -6.90659902   0.63128422
## 419   0.001407893  11.39153937  -0.785690030  -6.90659902   0.63128422
## 420   0.001407893  11.39153937  -0.785690030  -6.90659902   0.63128422
## 421   0.001407893  11.39153937  -0.785690030  -6.90659902   0.63128422
## 422   0.001407893  11.39153937  -0.785690030  -6.90659902   0.63128422
## 423   0.001407893  11.39153937  -0.785690030  -6.90659902   0.63128422
## 424   0.001407893  11.39153937  -0.785690030  -6.90659902   0.63128422
## 425  19.317543763  14.67755493  -3.397881826   0.06350784  -6.60208315
## 426  19.317543763  14.67755493  -3.397881826   0.06350784  -6.60208315
## 427  19.317543763  14.67755493  -3.397881826   0.06350784  -6.60208315
## 428  19.317543763  14.67755493  -3.397881826   0.06350784  -6.60208315
## 429  19.317543763  14.67755493  -3.397881826   0.06350784  -6.60208315
## 430  19.317543763  14.67755493  -3.397881826   0.06350784  -6.60208315
## 431  19.317543763  14.67755493  -3.397881826   0.06350784  -6.60208315
## 432  19.317543763  14.67755493  -3.397881826   0.06350784  -6.60208315
## 433   7.367422763   5.68720576   4.673941422  -2.29138162   1.50828570
## 434   7.367422763   5.68720576   4.673941422  -2.29138162   1.50828570
## 435   7.367422763   5.68720576   4.673941422  -2.29138162   1.50828570
## 436   7.367422763   5.68720576   4.673941422  -2.29138162   1.50828570
## 437   7.367422763   5.68720576   4.673941422  -2.29138162   1.50828570
## 438   7.367422763   5.68720576   4.673941422  -2.29138162   1.50828570
## 439   7.367422763   5.68720576   4.673941422  -2.29138162   1.50828570
## 440   7.367422763   5.68720576   4.673941422  -2.29138162   1.50828570
## 441 -10.497164037  -3.30954535   8.412414820   2.15110199  -4.22320645
## 442 -10.497164037  -3.30954535   8.412414820   2.15110199  -4.22320645
## 443 -10.497164037  -3.30954535   8.412414820   2.15110199  -4.22320645
## 444 -10.497164037  -3.30954535   8.412414820   2.15110199  -4.22320645
## 445 -10.497164037  -3.30954535   8.412414820   2.15110199  -4.22320645
## 446 -10.497164037  -3.30954535   8.412414820   2.15110199  -4.22320645
## 447 -10.497164037  -3.30954535   8.412414820   2.15110199  -4.22320645
## 448 -10.497164037  -3.30954535   8.412414820   2.15110199  -4.22320645
## 449  -1.156184956   3.75214176  -5.511876893   4.33962839   1.66984485
## 450  -1.156184956   3.75214176  -5.511876893   4.33962839   1.66984485
## 451  -1.156184956   3.75214176  -5.511876893   4.33962839   1.66984485
## 452  -1.156184956   3.75214176  -5.511876893   4.33962839   1.66984485
## 453  -1.156184956   3.75214176  -5.511876893   4.33962839   1.66984485
## 454  -1.156184956   3.75214176  -5.511876893   4.33962839   1.66984485
## 455  -1.156184956   3.75214176  -5.511876893   4.33962839   1.66984485
## 456  -1.156184956   3.75214176  -5.511876893   4.33962839   1.66984485
## 457   0.672638830   8.83338374   6.846445863   0.09735360   0.19298306
## 458   0.672638830   8.83338374   6.846445863   0.09735360   0.19298306
## 459   0.672638830   8.83338374   6.846445863   0.09735360   0.19298306
## 460   0.672638830   8.83338374   6.846445863   0.09735360   0.19298306
## 461   0.672638830   8.83338374   6.846445863   0.09735360   0.19298306
## 462   0.672638830   8.83338374   6.846445863   0.09735360   0.19298306
## 463   0.672638830   8.83338374   6.846445863   0.09735360   0.19298306
## 464   0.672638830   8.83338374   6.846445863   0.09735360   0.19298306
## 465 -14.391662165   2.51645605   8.748495611  -0.60559094  -4.43165863
## 466 -14.391662165   2.51645605   8.748495611  -0.60559094  -4.43165863
## 467 -14.391662165   2.51645605   8.748495611  -0.60559094  -4.43165863
## 468 -14.391662165   2.51645605   8.748495611  -0.60559094  -4.43165863
## 469 -14.391662165   2.51645605   8.748495611  -0.60559094  -4.43165863
## 470 -14.391662165   2.51645605   8.748495611  -0.60559094  -4.43165863
## 471 -14.391662165   2.51645605   8.748495611  -0.60559094  -4.43165863
## 472 -14.391662165   2.51645605   8.748495611  -0.60559094  -4.43165863
## 473 -51.615652413  27.23680650  -8.634156032  17.57767093 -23.96012703
## 474 -51.615652413  27.23680650  -8.634156032  17.57767093 -23.96012703
## 475 -51.615652413  27.23680650  -8.634156032  17.57767093 -23.96012703
## 476 -51.615652413  27.23680650  -8.634156032  17.57767093 -23.96012703
## 477 -51.615652413  27.23680650  -8.634156032  17.57767093 -23.96012703
## 478 -51.615652413  27.23680650  -8.634156032  17.57767093 -23.96012703
## 479 -51.615652413  27.23680650  -8.634156032  17.57767093 -23.96012703
## 480 -51.615652413  27.23680650  -8.634156032  17.57767093 -23.96012703
## 481  15.387778206 -11.05446399 -14.601639493  -4.85432085   9.79201788
## 482  15.387778206 -11.05446399 -14.601639493  -4.85432085   9.79201788
## 483  15.387778206 -11.05446399 -14.601639493  -4.85432085   9.79201788
## 484  15.387778206 -11.05446399 -14.601639493  -4.85432085   9.79201788
## 485  15.387778206 -11.05446399 -14.601639493  -4.85432085   9.79201788
## 486  15.387778206 -11.05446399 -14.601639493  -4.85432085   9.79201788
## 487  15.387778206 -11.05446399 -14.601639493  -4.85432085   9.79201788
## 488  15.387778206 -11.05446399 -14.601639493  -4.85432085   9.79201788
## 489   3.573813553  -2.86221755  -5.027474079   3.82640214  -5.32333114
## 490   3.573813553  -2.86221755  -5.027474079   3.82640214  -5.32333114
## 491   3.573813553  -2.86221755  -5.027474079   3.82640214  -5.32333114
## 492   3.573813553  -2.86221755  -5.027474079   3.82640214  -5.32333114
## 493   3.573813553  -2.86221755  -5.027474079   3.82640214  -5.32333114
## 494   3.573813553  -2.86221755  -5.027474079   3.82640214  -5.32333114
## 495   3.573813553  -2.86221755  -5.027474079   3.82640214  -5.32333114
## 496   3.573813553  -2.86221755  -5.027474079   3.82640214  -5.32333114
## 497   0.301606428   6.75800152   9.621144264   1.00386479  -1.46483031
## 498   0.301606428   6.75800152   9.621144264   1.00386479  -1.46483031
## 499   0.301606428   6.75800152   9.621144264   1.00386479  -1.46483031
## 500   0.301606428   6.75800152   9.621144264   1.00386479  -1.46483031
## 501   0.301606428   6.75800152   9.621144264   1.00386479  -1.46483031
## 502   0.301606428   6.75800152   9.621144264   1.00386479  -1.46483031
## 503   0.301606428   6.75800152   9.621144264   1.00386479  -1.46483031
## 504   0.301606428   6.75800152   9.621144264   1.00386479  -1.46483031
## 505  12.226981184   1.93144803 -10.158214814   3.70956322   0.96133485
## 506  12.226981184   1.93144803 -10.158214814   3.70956322   0.96133485
## 507  12.226981184   1.93144803 -10.158214814   3.70956322   0.96133485
## 508  12.226981184   1.93144803 -10.158214814   3.70956322   0.96133485
## 509  12.226981184   1.93144803 -10.158214814   3.70956322   0.96133485
## 510  12.226981184   1.93144803 -10.158214814   3.70956322   0.96133485
## 511  12.226981184   1.93144803 -10.158214814   3.70956322   0.96133485
## 512  12.226981184   1.93144803 -10.158214814   3.70956322   0.96133485
## 513  -2.163031899  10.19258935 -61.638483644   1.32241441  -3.79292730
## 514  -2.163031899  10.19258935 -61.638483644   1.32241441  -3.79292730
## 515  -2.163031899  10.19258935 -61.638483644   1.32241441  -3.79292730
## 516  -2.163031899  10.19258935 -61.638483644   1.32241441  -3.79292730
## 517  -2.163031899  10.19258935 -61.638483644   1.32241441  -3.79292730
## 518  -2.163031899  10.19258935 -61.638483644   1.32241441  -3.79292730
## 519  -2.163031899  10.19258935 -61.638483644   1.32241441  -3.79292730
## 520  -2.163031899  10.19258935 -61.638483644   1.32241441  -3.79292730
## 521   3.106125372   8.85067331  -2.046784214   4.96306098 -14.38301622
## 522   3.106125372   8.85067331  -2.046784214   4.96306098 -14.38301622
## 523   3.106125372   8.85067331  -2.046784214   4.96306098 -14.38301622
## 524   3.106125372   8.85067331  -2.046784214   4.96306098 -14.38301622
## 525   3.106125372   8.85067331  -2.046784214   4.96306098 -14.38301622
## 526   3.106125372   8.85067331  -2.046784214   4.96306098 -14.38301622
## 527   3.106125372   8.85067331  -2.046784214   4.96306098 -14.38301622
## 528   3.106125372   8.85067331  -2.046784214   4.96306098 -14.38301622
## 529 -31.300865250 -41.57478745 -36.020137901   8.17576309   8.83288564
## 530 -31.300865250 -41.57478745 -36.020137901   8.17576309   8.83288564
## 531 -31.300865250 -41.57478745 -36.020137901   8.17576309   8.83288564
## 532 -31.300865250 -41.57478745 -36.020137901   8.17576309   8.83288564
## 533 -31.300865250 -41.57478745 -36.020137901   8.17576309   8.83288564
## 534 -31.300865250 -41.57478745 -36.020137901   8.17576309   8.83288564
## 535 -31.300865250 -41.57478745 -36.020137901   8.17576309   8.83288564
## 536 -31.300865250 -41.57478745 -36.020137901   8.17576309   8.83288564
## 537   1.917242319   4.81114897  -4.624183084   1.62321001   4.36748341
## 538   1.917242319   4.81114897  -4.624183084   1.62321001   4.36748341
## 539   1.917242319   4.81114897  -4.624183084   1.62321001   4.36748341
## 540   1.917242319   4.81114897  -4.624183084   1.62321001   4.36748341
## 541   1.917242319   4.81114897  -4.624183084   1.62321001   4.36748341
## 542   1.917242319   4.81114897  -4.624183084   1.62321001   4.36748341
## 543   1.917242319   4.81114897  -4.624183084   1.62321001   4.36748341
## 544   1.917242319   4.81114897  -4.624183084   1.62321001   4.36748341
## 545   4.787397349  -0.93632203  -1.382892249   4.47883183   1.06261024
## 546   4.787397349  -0.93632203  -1.382892249   4.47883183   1.06261024
## 547   4.787397349  -0.93632203  -1.382892249   4.47883183   1.06261024
## 548   4.787397349  -0.93632203  -1.382892249   4.47883183   1.06261024
## 549   4.787397349  -0.93632203  -1.382892249   4.47883183   1.06261024
## 550   4.787397349  -0.93632203  -1.382892249   4.47883183   1.06261024
## 551   4.787397349  -0.93632203  -1.382892249   4.47883183   1.06261024
## 552   4.787397349  -0.93632203  -1.382892249   4.47883183   1.06261024
## 553 -44.610675443  -9.93055631  -4.056176252 -78.50704863 -38.67017843
## 554 -44.610675443  -9.93055631  -4.056176252 -78.50704863 -38.67017843
## 555 -44.610675443  -9.93055631  -4.056176252 -78.50704863 -38.67017843
## 556 -44.610675443  -9.93055631  -4.056176252 -78.50704863 -38.67017843
## 557 -44.610675443  -9.93055631  -4.056176252 -78.50704863 -38.67017843
## 558 -44.610675443  -9.93055631  -4.056176252 -78.50704863 -38.67017843
## 559 -44.610675443  -9.93055631  -4.056176252 -78.50704863 -38.67017843
## 560 -44.610675443  -9.93055631  -4.056176252 -78.50704863 -38.67017843
## 561  -2.809436023  -5.47400316   2.328936761   5.97632728   5.11834404
## 562  -2.809436023  -5.47400316   2.328936761   5.97632728   5.11834404
## 563  -2.809436023  -5.47400316   2.328936761   5.97632728   5.11834404
## 564  -2.809436023  -5.47400316   2.328936761   5.97632728   5.11834404
## 565  -2.809436023  -5.47400316   2.328936761   5.97632728   5.11834404
## 566  -2.809436023  -5.47400316   2.328936761   5.97632728   5.11834404
## 567  -2.809436023  -5.47400316   2.328936761   5.97632728   5.11834404
## 568  -2.809436023  -5.47400316   2.328936761   5.97632728   5.11834404
## 569  -1.183475750   6.99271363   2.112136461   4.99371586   3.61827399
## 570  -1.183475750   6.99271363   2.112136461   4.99371586   3.61827399
## 571  -1.183475750   6.99271363   2.112136461   4.99371586   3.61827399
## 572  -1.183475750   6.99271363   2.112136461   4.99371586   3.61827399
## 573  -1.183475750   6.99271363   2.112136461   4.99371586   3.61827399
## 574  -1.183475750   6.99271363   2.112136461   4.99371586   3.61827399
## 575  -1.183475750   6.99271363   2.112136461   4.99371586   3.61827399
## 576  -1.183475750   6.99271363   2.112136461   4.99371586   3.61827399
## 577   3.948960961   3.69837499   0.597770433   3.71791501  -0.10870739
## 578   3.948960961   3.69837499   0.597770433   3.71791501  -0.10870739
## 579   3.948960961   3.69837499   0.597770433   3.71791501  -0.10870739
## 580   3.948960961   3.69837499   0.597770433   3.71791501  -0.10870739
## 581   3.948960961   3.69837499   0.597770433   3.71791501  -0.10870739
## 582   3.948960961   3.69837499   0.597770433   3.71791501  -0.10870739
## 583   3.948960961   3.69837499   0.597770433   3.71791501  -0.10870739
## 584   3.948960961   3.69837499   0.597770433   3.71791501  -0.10870739
## 585  17.178802444   7.97866937   3.119197374  -0.63792294  -7.60142226
## 586  17.178802444   7.97866937   3.119197374  -0.63792294  -7.60142226
## 587  17.178802444   7.97866937   3.119197374  -0.63792294  -7.60142226
## 588  17.178802444   7.97866937   3.119197374  -0.63792294  -7.60142226
## 589  17.178802444   7.97866937   3.119197374  -0.63792294  -7.60142226
## 590  17.178802444   7.97866937   3.119197374  -0.63792294  -7.60142226
## 591  17.178802444   7.97866937   3.119197374  -0.63792294  -7.60142226
## 592  17.178802444   7.97866937   3.119197374  -0.63792294  -7.60142226
## 593  -0.961892958 -15.54994377  -3.719984771  -8.01884710   2.09935918
## 594  -0.961892958 -15.54994377  -3.719984771  -8.01884710   2.09935918
## 595  -0.961892958 -15.54994377  -3.719984771  -8.01884710   2.09935918
## 596  -0.961892958 -15.54994377  -3.719984771  -8.01884710   2.09935918
## 597  -0.961892958 -15.54994377  -3.719984771  -8.01884710   2.09935918
## 598  -0.961892958 -15.54994377  -3.719984771  -8.01884710   2.09935918
## 599  -0.961892958 -15.54994377  -3.719984771  -8.01884710   2.09935918
## 600  -0.961892958 -15.54994377  -3.719984771  -8.01884710   2.09935918
## 601   6.308406725  -1.96671992   0.829649440   3.90613143   1.26483112
## 602   6.308406725  -1.96671992   0.829649440   3.90613143   1.26483112
## 603   6.308406725  -1.96671992   0.829649440   3.90613143   1.26483112
## 604   6.308406725  -1.96671992   0.829649440   3.90613143   1.26483112
## 605   6.308406725  -1.96671992   0.829649440   3.90613143   1.26483112
## 606   6.308406725  -1.96671992   0.829649440   3.90613143   1.26483112
## 607   6.308406725  -1.96671992   0.829649440   3.90613143   1.26483112
## 608   6.308406725  -1.96671992   0.829649440   3.90613143   1.26483112
## 609  -4.903625864   0.28425420   4.395229246  -0.66644709   2.23103258
## 610  -4.903625864   0.28425420   4.395229246  -0.66644709   2.23103258
## 611  -4.903625864   0.28425420   4.395229246  -0.66644709   2.23103258
## 612  -4.903625864   0.28425420   4.395229246  -0.66644709   2.23103258
## 613  -4.903625864   0.28425420   4.395229246  -0.66644709   2.23103258
## 614  -4.903625864   0.28425420   4.395229246  -0.66644709   2.23103258
## 615  -4.903625864   0.28425420   4.395229246  -0.66644709   2.23103258
## 616  -4.903625864   0.28425420   4.395229246  -0.66644709   2.23103258
## 617  -9.278141399  -3.27430162   2.121702142  -0.93283907  -7.37500021
## 618  -9.278141399  -3.27430162   2.121702142  -0.93283907  -7.37500021
## 619  -9.278141399  -3.27430162   2.121702142  -0.93283907  -7.37500021
## 620  -9.278141399  -3.27430162   2.121702142  -0.93283907  -7.37500021
## 621  -9.278141399  -3.27430162   2.121702142  -0.93283907  -7.37500021
## 622  -9.278141399  -3.27430162   2.121702142  -0.93283907  -7.37500021
## 623  -9.278141399  -3.27430162   2.121702142  -0.93283907  -7.37500021
## 624  -9.278141399  -3.27430162   2.121702142  -0.93283907  -7.37500021
## 625  -0.841707209   0.72589667  -6.686514990  17.49038047 -15.31615580
## 626  -0.841707209   0.72589667  -6.686514990  17.49038047 -15.31615580
## 627  -0.841707209   0.72589667  -6.686514990  17.49038047 -15.31615580
## 628  -0.841707209   0.72589667  -6.686514990  17.49038047 -15.31615580
## 629  -0.841707209   0.72589667  -6.686514990  17.49038047 -15.31615580
## 630  -0.841707209   0.72589667  -6.686514990  17.49038047 -15.31615580
## 631  -0.841707209   0.72589667  -6.686514990  17.49038047 -15.31615580
## 632  -0.841707209   0.72589667  -6.686514990  17.49038047 -15.31615580
## 633   4.364554935  -8.52648121  -9.600200444   2.23812468  -0.05350021
## 634   4.364554935  -8.52648121  -9.600200444   2.23812468  -0.05350021
## 635   4.364554935  -8.52648121  -9.600200444   2.23812468  -0.05350021
## 636   4.364554935  -8.52648121  -9.600200444   2.23812468  -0.05350021
## 637   4.364554935  -8.52648121  -9.600200444   2.23812468  -0.05350021
## 638   4.364554935  -8.52648121  -9.600200444   2.23812468  -0.05350021
## 639   4.364554935  -8.52648121  -9.600200444   2.23812468  -0.05350021
## 640   4.364554935  -8.52648121  -9.600200444   2.23812468  -0.05350021
## 641  28.206543769  -9.64011262  -4.121481041   9.88170597  -9.22534910
## 642  28.206543769  -9.64011262  -4.121481041   9.88170597  -9.22534910
## 643  28.206543769  -9.64011262  -4.121481041   9.88170597  -9.22534910
## 644  28.206543769  -9.64011262  -4.121481041   9.88170597  -9.22534910
## 645  28.206543769  -9.64011262  -4.121481041   9.88170597  -9.22534910
## 646  28.206543769  -9.64011262  -4.121481041   9.88170597  -9.22534910
## 647  28.206543769  -9.64011262  -4.121481041   9.88170597  -9.22534910
## 648  28.206543769  -9.64011262  -4.121481041   9.88170597  -9.22534910
## 649  -4.463029409  -1.67069634  11.855415578   1.39949396  -2.22426074
## 650  -4.463029409  -1.67069634  11.855415578   1.39949396  -2.22426074
## 651  -4.463029409  -1.67069634  11.855415578   1.39949396  -2.22426074
## 652  -4.463029409  -1.67069634  11.855415578   1.39949396  -2.22426074
## 653  -4.463029409  -1.67069634  11.855415578   1.39949396  -2.22426074
## 654  -4.463029409  -1.67069634  11.855415578   1.39949396  -2.22426074
## 655  -4.463029409  -1.67069634  11.855415578   1.39949396  -2.22426074
## 656  -4.463029409  -1.67069634  11.855415578   1.39949396  -2.22426074
## 657  -9.805543704  -6.65958823   0.034492209  24.92225123  -7.10079270
## 658  -9.805543704  -6.65958823   0.034492209  24.92225123  -7.10079270
## 659  -9.805543704  -6.65958823   0.034492209  24.92225123  -7.10079270
## 660  -9.805543704  -6.65958823   0.034492209  24.92225123  -7.10079270
## 661  -9.805543704  -6.65958823   0.034492209  24.92225123  -7.10079270
## 662  -9.805543704  -6.65958823   0.034492209  24.92225123  -7.10079270
## 663  -9.805543704  -6.65958823   0.034492209  24.92225123  -7.10079270
## 664  -9.805543704  -6.65958823   0.034492209  24.92225123  -7.10079270
## 665 -24.248368742  21.09210348  -6.208383590 -60.88520124   9.85316493
## 666 -24.248368742  21.09210348  -6.208383590 -60.88520124   9.85316493
## 667 -24.248368742  21.09210348  -6.208383590 -60.88520124   9.85316493
## 668 -24.248368742  21.09210348  -6.208383590 -60.88520124   9.85316493
## 669 -24.248368742  21.09210348  -6.208383590 -60.88520124   9.85316493
## 670 -24.248368742  21.09210348  -6.208383590 -60.88520124   9.85316493
## 671 -24.248368742  21.09210348  -6.208383590 -60.88520124   9.85316493
## 672 -24.248368742  21.09210348  -6.208383590 -60.88520124   9.85316493
## 673   4.039825808   0.27941657   4.608872998   2.20830161   3.47834945
## 674   4.039825808   0.27941657   4.608872998   2.20830161   3.47834945
## 675   4.039825808   0.27941657   4.608872998   2.20830161   3.47834945
## 676   4.039825808   0.27941657   4.608872998   2.20830161   3.47834945
## 677   4.039825808   0.27941657   4.608872998   2.20830161   3.47834945
## 678   4.039825808   0.27941657   4.608872998   2.20830161   3.47834945
## 679   4.039825808   0.27941657   4.608872998   2.20830161   3.47834945
## 680   4.039825808   0.27941657   4.608872998   2.20830161   3.47834945
## 681  59.631049166   4.44767326  31.315660096 -29.99228244  11.59265426
## 682  59.631049166   4.44767326  31.315660096 -29.99228244  11.59265426
## 683  59.631049166   4.44767326  31.315660096 -29.99228244  11.59265426
## 684  59.631049166   4.44767326  31.315660096 -29.99228244  11.59265426
## 685  59.631049166   4.44767326  31.315660096 -29.99228244  11.59265426
## 686  59.631049166   4.44767326  31.315660096 -29.99228244  11.59265426
## 687  59.631049166   4.44767326  31.315660096 -29.99228244  11.59265426
## 688  59.631049166   4.44767326  31.315660096 -29.99228244  11.59265426
## 689   1.712840092   5.38457011   0.998797664  -1.51258897   2.29974595
## 690   1.712840092   5.38457011   0.998797664  -1.51258897   2.29974595
## 691   1.712840092   5.38457011   0.998797664  -1.51258897   2.29974595
## 692   1.712840092   5.38457011   0.998797664  -1.51258897   2.29974595
## 693   1.712840092   5.38457011   0.998797664  -1.51258897   2.29974595
## 694   1.712840092   5.38457011   0.998797664  -1.51258897   2.29974595
## 695   1.712840092   5.38457011   0.998797664  -1.51258897   2.29974595
## 696   1.712840092   5.38457011   0.998797664  -1.51258897   2.29974595
## 697  48.021404426  -0.02757754  -0.786302870 -41.21882440  15.29941313
## 698  48.021404426  -0.02757754  -0.786302870 -41.21882440  15.29941313
## 699  48.021404426  -0.02757754  -0.786302870 -41.21882440  15.29941313
## 700  48.021404426  -0.02757754  -0.786302870 -41.21882440  15.29941313
## 701  48.021404426  -0.02757754  -0.786302870 -41.21882440  15.29941313
## 702  48.021404426  -0.02757754  -0.786302870 -41.21882440  15.29941313
## 703  48.021404426  -0.02757754  -0.786302870 -41.21882440  15.29941313
## 704  48.021404426  -0.02757754  -0.786302870 -41.21882440  15.29941313
## 705  -0.375828135  -0.45183391   4.022965091   3.60782911   1.69706070
## 706  -0.375828135  -0.45183391   4.022965091   3.60782911   1.69706070
## 707  -0.375828135  -0.45183391   4.022965091   3.60782911   1.69706070
## 708  -0.375828135  -0.45183391   4.022965091   3.60782911   1.69706070
## 709  -0.375828135  -0.45183391   4.022965091   3.60782911   1.69706070
## 710  -0.375828135  -0.45183391   4.022965091   3.60782911   1.69706070
## 711  -0.375828135  -0.45183391   4.022965091   3.60782911   1.69706070
## 712  -0.375828135  -0.45183391   4.022965091   3.60782911   1.69706070
## 713  -1.353839569  -0.67987928   3.872002649  11.34811607   2.90061544
## 714  -1.353839569  -0.67987928   3.872002649  11.34811607   2.90061544
## 715  -1.353839569  -0.67987928   3.872002649  11.34811607   2.90061544
## 716  -1.353839569  -0.67987928   3.872002649  11.34811607   2.90061544
## 717  -1.353839569  -0.67987928   3.872002649  11.34811607   2.90061544
## 718  -1.353839569  -0.67987928   3.872002649  11.34811607   2.90061544
## 719  -1.353839569  -0.67987928   3.872002649  11.34811607   2.90061544
## 720  -1.353839569  -0.67987928   3.872002649  11.34811607   2.90061544
## 721   3.739693065   4.96056516  12.277368616   3.80168738 -11.69042630
## 722   3.739693065   4.96056516  12.277368616   3.80168738 -11.69042630
## 723   3.739693065   4.96056516  12.277368616   3.80168738 -11.69042630
## 724   3.739693065   4.96056516  12.277368616   3.80168738 -11.69042630
## 725   3.739693065   4.96056516  12.277368616   3.80168738 -11.69042630
## 726   3.739693065   4.96056516  12.277368616   3.80168738 -11.69042630
## 727   3.739693065   4.96056516  12.277368616   3.80168738 -11.69042630
## 728   3.739693065   4.96056516  12.277368616   3.80168738 -11.69042630
## 729  -7.891794608  14.01546843   6.652714960  -2.20077857  -8.13903628
## 730  -7.891794608  14.01546843   6.652714960  -2.20077857  -8.13903628
## 731  -7.891794608  14.01546843   6.652714960  -2.20077857  -8.13903628
## 732  -7.891794608  14.01546843   6.652714960  -2.20077857  -8.13903628
## 733  -7.891794608  14.01546843   6.652714960  -2.20077857  -8.13903628
## 734  -7.891794608  14.01546843   6.652714960  -2.20077857  -8.13903628
## 735  -7.891794608  14.01546843   6.652714960  -2.20077857  -8.13903628
## 736  -7.891794608  14.01546843   6.652714960  -2.20077857  -8.13903628
## 737   3.421743219   2.39323622   2.754773117  -1.53756770  -2.28255288
## 738   3.421743219   2.39323622   2.754773117  -1.53756770  -2.28255288
## 739   3.421743219   2.39323622   2.754773117  -1.53756770  -2.28255288
## 740   3.421743219   2.39323622   2.754773117  -1.53756770  -2.28255288
## 741   3.421743219   2.39323622   2.754773117  -1.53756770  -2.28255288
## 742   3.421743219   2.39323622   2.754773117  -1.53756770  -2.28255288
## 743   3.421743219   2.39323622   2.754773117  -1.53756770  -2.28255288
## 744   3.421743219   2.39323622   2.754773117  -1.53756770  -2.28255288
## 745   3.752535024   3.67530063  -1.886921620   0.11885089   0.99401613
## 746   3.752535024   3.67530063  -1.886921620   0.11885089   0.99401613
## 747   3.752535024   3.67530063  -1.886921620   0.11885089   0.99401613
## 748   3.752535024   3.67530063  -1.886921620   0.11885089   0.99401613
## 749   3.752535024   3.67530063  -1.886921620   0.11885089   0.99401613
## 750   3.752535024   3.67530063  -1.886921620   0.11885089   0.99401613
## 751   3.752535024   3.67530063  -1.886921620   0.11885089   0.99401613
## 752   3.752535024   3.67530063  -1.886921620   0.11885089   0.99401613
## 753  11.971018836   7.50840020  -4.994095092   5.33085152  -4.31109313
## 754  11.971018836   7.50840020  -4.994095092   5.33085152  -4.31109313
## 755  11.971018836   7.50840020  -4.994095092   5.33085152  -4.31109313
## 756  11.971018836   7.50840020  -4.994095092   5.33085152  -4.31109313
## 757  11.971018836   7.50840020  -4.994095092   5.33085152  -4.31109313
## 758  11.971018836   7.50840020  -4.994095092   5.33085152  -4.31109313
## 759  11.971018836   7.50840020  -4.994095092   5.33085152  -4.31109313
## 760  11.971018836   7.50840020  -4.994095092   5.33085152  -4.31109313
## 761  -8.963450387   1.52756457   0.002267393   1.14511367   3.88353347
## 762  -8.963450387   1.52756457   0.002267393   1.14511367   3.88353347
## 763  -8.963450387   1.52756457   0.002267393   1.14511367   3.88353347
## 764  -8.963450387   1.52756457   0.002267393   1.14511367   3.88353347
## 765  -8.963450387   1.52756457   0.002267393   1.14511367   3.88353347
## 766  -8.963450387   1.52756457   0.002267393   1.14511367   3.88353347
## 767  -8.963450387   1.52756457   0.002267393   1.14511367   3.88353347
## 768  -8.963450387   1.52756457   0.002267393   1.14511367   3.88353347
## 769  -4.921059246   4.82551908   0.174826439   4.78001847  -3.20020671
## 770  -4.921059246   4.82551908   0.174826439   4.78001847  -3.20020671
## 771  -4.921059246   4.82551908   0.174826439   4.78001847  -3.20020671
## 772  -4.921059246   4.82551908   0.174826439   4.78001847  -3.20020671
## 773  -4.921059246   4.82551908   0.174826439   4.78001847  -3.20020671
## 774  -4.921059246   4.82551908   0.174826439   4.78001847  -3.20020671
## 775  -4.921059246   4.82551908   0.174826439   4.78001847  -3.20020671
## 776  -4.921059246   4.82551908   0.174826439   4.78001847  -3.20020671
## 777   5.336090469   6.72007838   7.266749163  13.44830816  10.98706529
## 778   5.336090469   6.72007838   7.266749163  13.44830816  10.98706529
## 779   5.336090469   6.72007838   7.266749163  13.44830816  10.98706529
## 780   5.336090469   6.72007838   7.266749163  13.44830816  10.98706529
## 781   5.336090469   6.72007838   7.266749163  13.44830816  10.98706529
## 782   5.336090469   6.72007838   7.266749163  13.44830816  10.98706529
## 783   5.336090469   6.72007838   7.266749163  13.44830816  10.98706529
## 784   5.336090469   6.72007838   7.266749163  13.44830816  10.98706529
## 785 -13.791978973   0.51771854  -5.481145276  -2.61774349  -2.02767656
## 786 -13.791978973   0.51771854  -5.481145276  -2.61774349  -2.02767656
## 787 -13.791978973   0.51771854  -5.481145276  -2.61774349  -2.02767656
## 788 -13.791978973   0.51771854  -5.481145276  -2.61774349  -2.02767656
## 789 -13.791978973   0.51771854  -5.481145276  -2.61774349  -2.02767656
## 790 -13.791978973   0.51771854  -5.481145276  -2.61774349  -2.02767656
## 791 -13.791978973   0.51771854  -5.481145276  -2.61774349  -2.02767656
## 792 -13.791978973   0.51771854  -5.481145276  -2.61774349  -2.02767656
## 793   2.117832575 -21.18168180  28.299819265  10.00211348 -42.26820201
## 794   2.117832575 -21.18168180  28.299819265  10.00211348 -42.26820201
## 795   2.117832575 -21.18168180  28.299819265  10.00211348 -42.26820201
## 796   2.117832575 -21.18168180  28.299819265  10.00211348 -42.26820201
## 797   2.117832575 -21.18168180  28.299819265  10.00211348 -42.26820201
## 798   2.117832575 -21.18168180  28.299819265  10.00211348 -42.26820201
## 799   2.117832575 -21.18168180  28.299819265  10.00211348 -42.26820201
##      PC31_score   PC32_score   PC33_score  PC34_score   PC35_score  PC36_score
## 1     8.4386483  -1.22167351   0.66463050 -10.1663986   4.69620850 -12.5186030
## 2     8.4386483  -1.22167351   0.66463050 -10.1663986   4.69620850 -12.5186030
## 3     8.4386483  -1.22167351   0.66463050 -10.1663986   4.69620850 -12.5186030
## 4     8.4386483  -1.22167351   0.66463050 -10.1663986   4.69620850 -12.5186030
## 5     8.4386483  -1.22167351   0.66463050 -10.1663986   4.69620850 -12.5186030
## 6     8.4386483  -1.22167351   0.66463050 -10.1663986   4.69620850 -12.5186030
## 7     8.4386483  -1.22167351   0.66463050 -10.1663986   4.69620850 -12.5186030
## 8     8.4386483  -1.22167351   0.66463050 -10.1663986   4.69620850 -12.5186030
## 9     2.0475803  -0.81211031   1.85853300  -4.9311189   0.57878011  -7.7390999
## 10    2.0475803  -0.81211031   1.85853300  -4.9311189   0.57878011  -7.7390999
## 11    2.0475803  -0.81211031   1.85853300  -4.9311189   0.57878011  -7.7390999
## 12    2.0475803  -0.81211031   1.85853300  -4.9311189   0.57878011  -7.7390999
## 13    2.0475803  -0.81211031   1.85853300  -4.9311189   0.57878011  -7.7390999
## 14    2.0475803  -0.81211031   1.85853300  -4.9311189   0.57878011  -7.7390999
## 15    2.0475803  -0.81211031   1.85853300  -4.9311189   0.57878011  -7.7390999
## 16    2.0475803  -0.81211031   1.85853300  -4.9311189   0.57878011  -7.7390999
## 17  -33.3335573  44.45072036  33.45918781 -19.9496865 -43.81717267 -13.4243005
## 18  -33.3335573  44.45072036  33.45918781 -19.9496865 -43.81717267 -13.4243005
## 19  -33.3335573  44.45072036  33.45918781 -19.9496865 -43.81717267 -13.4243005
## 20  -33.3335573  44.45072036  33.45918781 -19.9496865 -43.81717267 -13.4243005
## 21  -33.3335573  44.45072036  33.45918781 -19.9496865 -43.81717267 -13.4243005
## 22  -33.3335573  44.45072036  33.45918781 -19.9496865 -43.81717267 -13.4243005
## 23  -33.3335573  44.45072036  33.45918781 -19.9496865 -43.81717267 -13.4243005
## 24  -33.3335573  44.45072036  33.45918781 -19.9496865 -43.81717267 -13.4243005
## 25   15.6920882  -5.58463306  11.53743434 -19.0077680   7.56384586   6.5514788
## 26   15.6920882  -5.58463306  11.53743434 -19.0077680   7.56384586   6.5514788
## 27   15.6920882  -5.58463306  11.53743434 -19.0077680   7.56384586   6.5514788
## 28   15.6920882  -5.58463306  11.53743434 -19.0077680   7.56384586   6.5514788
## 29   15.6920882  -5.58463306  11.53743434 -19.0077680   7.56384586   6.5514788
## 30   15.6920882  -5.58463306  11.53743434 -19.0077680   7.56384586   6.5514788
## 31   15.6920882  -5.58463306  11.53743434 -19.0077680   7.56384586   6.5514788
## 32   15.6920882  -5.58463306  11.53743434 -19.0077680   7.56384586   6.5514788
## 33   15.6242922  12.87664587   5.13484123 -13.1205057  -3.11815324 -11.0068451
## 34   15.6242922  12.87664587   5.13484123 -13.1205057  -3.11815324 -11.0068451
## 35   15.6242922  12.87664587   5.13484123 -13.1205057  -3.11815324 -11.0068451
## 36   15.6242922  12.87664587   5.13484123 -13.1205057  -3.11815324 -11.0068451
## 37   15.6242922  12.87664587   5.13484123 -13.1205057  -3.11815324 -11.0068451
## 38   15.6242922  12.87664587   5.13484123 -13.1205057  -3.11815324 -11.0068451
## 39   15.6242922  12.87664587   5.13484123 -13.1205057  -3.11815324 -11.0068451
## 40   15.6242922  12.87664587   5.13484123 -13.1205057  -3.11815324 -11.0068451
## 41   -1.8809239  -4.46887718   3.38816427  -6.2006345  -1.09210060  -0.8639153
## 42   -1.8809239  -4.46887718   3.38816427  -6.2006345  -1.09210060  -0.8639153
## 43   -1.8809239  -4.46887718   3.38816427  -6.2006345  -1.09210060  -0.8639153
## 44   -1.8809239  -4.46887718   3.38816427  -6.2006345  -1.09210060  -0.8639153
## 45   -1.8809239  -4.46887718   3.38816427  -6.2006345  -1.09210060  -0.8639153
## 46   -1.8809239  -4.46887718   3.38816427  -6.2006345  -1.09210060  -0.8639153
## 47   -1.8809239  -4.46887718   3.38816427  -6.2006345  -1.09210060  -0.8639153
## 48   -1.8809239  -4.46887718   3.38816427  -6.2006345  -1.09210060  -0.8639153
## 49    4.0374094  -4.86548788 -12.60878289   0.9183232  -2.34748168  13.7445209
## 50    4.0374094  -4.86548788 -12.60878289   0.9183232  -2.34748168  13.7445209
## 51    4.0374094  -4.86548788 -12.60878289   0.9183232  -2.34748168  13.7445209
## 52    4.0374094  -4.86548788 -12.60878289   0.9183232  -2.34748168  13.7445209
## 53    4.0374094  -4.86548788 -12.60878289   0.9183232  -2.34748168  13.7445209
## 54    4.0374094  -4.86548788 -12.60878289   0.9183232  -2.34748168  13.7445209
## 55    4.0374094  -4.86548788 -12.60878289   0.9183232  -2.34748168  13.7445209
## 56    4.0374094  -4.86548788 -12.60878289   0.9183232  -2.34748168  13.7445209
## 57   24.3912723  -2.73128324   6.97304417  -5.5113879  15.48385748 -19.6306491
## 58   24.3912723  -2.73128324   6.97304417  -5.5113879  15.48385748 -19.6306491
## 59   24.3912723  -2.73128324   6.97304417  -5.5113879  15.48385748 -19.6306491
## 60   24.3912723  -2.73128324   6.97304417  -5.5113879  15.48385748 -19.6306491
## 61   24.3912723  -2.73128324   6.97304417  -5.5113879  15.48385748 -19.6306491
## 62   24.3912723  -2.73128324   6.97304417  -5.5113879  15.48385748 -19.6306491
## 63   24.3912723  -2.73128324   6.97304417  -5.5113879  15.48385748 -19.6306491
## 64   24.3912723  -2.73128324   6.97304417  -5.5113879  15.48385748 -19.6306491
## 65   14.5686922   8.79689044   5.77648960   8.5959023  16.06701658 -18.9671308
## 66   14.5686922   8.79689044   5.77648960   8.5959023  16.06701658 -18.9671308
## 67   14.5686922   8.79689044   5.77648960   8.5959023  16.06701658 -18.9671308
## 68   14.5686922   8.79689044   5.77648960   8.5959023  16.06701658 -18.9671308
## 69   14.5686922   8.79689044   5.77648960   8.5959023  16.06701658 -18.9671308
## 70   14.5686922   8.79689044   5.77648960   8.5959023  16.06701658 -18.9671308
## 71   14.5686922   8.79689044   5.77648960   8.5959023  16.06701658 -18.9671308
## 72   14.5686922   8.79689044   5.77648960   8.5959023  16.06701658 -18.9671308
## 73   -5.3071083  -0.12993728   0.34422035   8.3258859   1.11391105   2.4559232
## 74   -5.3071083  -0.12993728   0.34422035   8.3258859   1.11391105   2.4559232
## 75   -5.3071083  -0.12993728   0.34422035   8.3258859   1.11391105   2.4559232
## 76   -5.3071083  -0.12993728   0.34422035   8.3258859   1.11391105   2.4559232
## 77   -5.3071083  -0.12993728   0.34422035   8.3258859   1.11391105   2.4559232
## 78   -5.3071083  -0.12993728   0.34422035   8.3258859   1.11391105   2.4559232
## 79   -5.3071083  -0.12993728   0.34422035   8.3258859   1.11391105   2.4559232
## 80   -5.3071083  -0.12993728   0.34422035   8.3258859   1.11391105   2.4559232
## 81    7.2033465   4.48763810   5.46499991   1.1579420   5.91806279  -5.9146490
## 82    7.2033465   4.48763810   5.46499991   1.1579420   5.91806279  -5.9146490
## 83    7.2033465   4.48763810   5.46499991   1.1579420   5.91806279  -5.9146490
## 84    7.2033465   4.48763810   5.46499991   1.1579420   5.91806279  -5.9146490
## 85    7.2033465   4.48763810   5.46499991   1.1579420   5.91806279  -5.9146490
## 86    7.2033465   4.48763810   5.46499991   1.1579420   5.91806279  -5.9146490
## 87    7.2033465   4.48763810   5.46499991   1.1579420   5.91806279  -5.9146490
## 88    7.2033465   4.48763810   5.46499991   1.1579420   5.91806279  -5.9146490
## 89   41.2439165  11.36669418  -5.89255520 -30.0228853  -1.11491842  33.6786140
## 90   41.2439165  11.36669418  -5.89255520 -30.0228853  -1.11491842  33.6786140
## 91   41.2439165  11.36669418  -5.89255520 -30.0228853  -1.11491842  33.6786140
## 92   41.2439165  11.36669418  -5.89255520 -30.0228853  -1.11491842  33.6786140
## 93   41.2439165  11.36669418  -5.89255520 -30.0228853  -1.11491842  33.6786140
## 94   41.2439165  11.36669418  -5.89255520 -30.0228853  -1.11491842  33.6786140
## 95   41.2439165  11.36669418  -5.89255520 -30.0228853  -1.11491842  33.6786140
## 96   41.2439165  11.36669418  -5.89255520 -30.0228853  -1.11491842  33.6786140
## 97   -7.2225399  -3.23067726  -7.46233236 -20.5430781  -3.59136854  -8.6707475
## 98   -7.2225399  -3.23067726  -7.46233236 -20.5430781  -3.59136854  -8.6707475
## 99   -7.2225399  -3.23067726  -7.46233236 -20.5430781  -3.59136854  -8.6707475
## 100  -7.2225399  -3.23067726  -7.46233236 -20.5430781  -3.59136854  -8.6707475
## 101  -7.2225399  -3.23067726  -7.46233236 -20.5430781  -3.59136854  -8.6707475
## 102  -7.2225399  -3.23067726  -7.46233236 -20.5430781  -3.59136854  -8.6707475
## 103  -7.2225399  -3.23067726  -7.46233236 -20.5430781  -3.59136854  -8.6707475
## 104  -7.2225399  -3.23067726  -7.46233236 -20.5430781  -3.59136854  -8.6707475
## 105   4.9156040   1.43814740  -5.47791234   2.1122121   0.61042895  -1.8116347
## 106   4.9156040   1.43814740  -5.47791234   2.1122121   0.61042895  -1.8116347
## 107   4.9156040   1.43814740  -5.47791234   2.1122121   0.61042895  -1.8116347
## 108   4.9156040   1.43814740  -5.47791234   2.1122121   0.61042895  -1.8116347
## 109   4.9156040   1.43814740  -5.47791234   2.1122121   0.61042895  -1.8116347
## 110   4.9156040   1.43814740  -5.47791234   2.1122121   0.61042895  -1.8116347
## 111   4.9156040   1.43814740  -5.47791234   2.1122121   0.61042895  -1.8116347
## 112   4.9156040   1.43814740  -5.47791234   2.1122121   0.61042895  -1.8116347
## 113 -20.6442798  -3.61937625  13.77090251  -3.5506251  -9.45102617  15.8907976
## 114 -20.6442798  -3.61937625  13.77090251  -3.5506251  -9.45102617  15.8907976
## 115 -20.6442798  -3.61937625  13.77090251  -3.5506251  -9.45102617  15.8907976
## 116 -20.6442798  -3.61937625  13.77090251  -3.5506251  -9.45102617  15.8907976
## 117 -20.6442798  -3.61937625  13.77090251  -3.5506251  -9.45102617  15.8907976
## 118 -20.6442798  -3.61937625  13.77090251  -3.5506251  -9.45102617  15.8907976
## 119 -20.6442798  -3.61937625  13.77090251  -3.5506251  -9.45102617  15.8907976
## 120 -20.6442798  -3.61937625  13.77090251  -3.5506251  -9.45102617  15.8907976
## 121   3.8639522  12.37583042  12.98298086  -4.0690565  -1.74375678 -36.5805988
## 122   3.8639522  12.37583042  12.98298086  -4.0690565  -1.74375678 -36.5805988
## 123   3.8639522  12.37583042  12.98298086  -4.0690565  -1.74375678 -36.5805988
## 124   3.8639522  12.37583042  12.98298086  -4.0690565  -1.74375678 -36.5805988
## 125   3.8639522  12.37583042  12.98298086  -4.0690565  -1.74375678 -36.5805988
## 126   3.8639522  12.37583042  12.98298086  -4.0690565  -1.74375678 -36.5805988
## 127   3.8639522  12.37583042  12.98298086  -4.0690565  -1.74375678 -36.5805988
## 128   3.8639522  12.37583042  12.98298086  -4.0690565  -1.74375678 -36.5805988
## 129  -7.0836990 -11.94345833  -0.84297778  -7.7931313  -8.56250938  -9.5901049
## 130  -7.0836990 -11.94345833  -0.84297778  -7.7931313  -8.56250938  -9.5901049
## 131  -7.0836990 -11.94345833  -0.84297778  -7.7931313  -8.56250938  -9.5901049
## 132  -7.0836990 -11.94345833  -0.84297778  -7.7931313  -8.56250938  -9.5901049
## 133  -7.0836990 -11.94345833  -0.84297778  -7.7931313  -8.56250938  -9.5901049
## 134  -7.0836990 -11.94345833  -0.84297778  -7.7931313  -8.56250938  -9.5901049
## 135  -7.0836990 -11.94345833  -0.84297778  -7.7931313  -8.56250938  -9.5901049
## 136  -7.0836990 -11.94345833  -0.84297778  -7.7931313  -8.56250938  -9.5901049
## 137  -1.8416834  -1.35168439   4.42444331   0.2871137   1.02821343   8.3633070
## 138  -1.8416834  -1.35168439   4.42444331   0.2871137   1.02821343   8.3633070
## 139  -1.8416834  -1.35168439   4.42444331   0.2871137   1.02821343   8.3633070
## 140  -1.8416834  -1.35168439   4.42444331   0.2871137   1.02821343   8.3633070
## 141  -1.8416834  -1.35168439   4.42444331   0.2871137   1.02821343   8.3633070
## 142  -1.8416834  -1.35168439   4.42444331   0.2871137   1.02821343   8.3633070
## 143  -1.8416834  -1.35168439   4.42444331   0.2871137   1.02821343   8.3633070
## 144  -1.8416834  -1.35168439   4.42444331   0.2871137   1.02821343   8.3633070
## 145 -16.7479385   9.65328633   9.19635250   2.8907992   8.61752606   3.9280220
## 146 -16.7479385   9.65328633   9.19635250   2.8907992   8.61752606   3.9280220
## 147 -16.7479385   9.65328633   9.19635250   2.8907992   8.61752606   3.9280220
## 148 -16.7479385   9.65328633   9.19635250   2.8907992   8.61752606   3.9280220
## 149 -16.7479385   9.65328633   9.19635250   2.8907992   8.61752606   3.9280220
## 150 -16.7479385   9.65328633   9.19635250   2.8907992   8.61752606   3.9280220
## 151 -16.7479385   9.65328633   9.19635250   2.8907992   8.61752606   3.9280220
## 152 -16.7479385   9.65328633   9.19635250   2.8907992   8.61752606   3.9280220
## 153   4.3030656   3.53522444   0.22747002   8.8040757   0.43162580   0.1818163
## 154   4.3030656   3.53522444   0.22747002   8.8040757   0.43162580   0.1818163
## 155   4.3030656   3.53522444   0.22747002   8.8040757   0.43162580   0.1818163
## 156   4.3030656   3.53522444   0.22747002   8.8040757   0.43162580   0.1818163
## 157   4.3030656   3.53522444   0.22747002   8.8040757   0.43162580   0.1818163
## 158   4.3030656   3.53522444   0.22747002   8.8040757   0.43162580   0.1818163
## 159   4.3030656   3.53522444   0.22747002   8.8040757   0.43162580   0.1818163
## 160   4.3030656   3.53522444   0.22747002   8.8040757   0.43162580   0.1818163
## 161  -3.8073012  -5.22756707  -3.79453424   6.1899071   7.78564648   0.1853748
## 162  -3.8073012  -5.22756707  -3.79453424   6.1899071   7.78564648   0.1853748
## 163  -3.8073012  -5.22756707  -3.79453424   6.1899071   7.78564648   0.1853748
## 164  -3.8073012  -5.22756707  -3.79453424   6.1899071   7.78564648   0.1853748
## 165  -3.8073012  -5.22756707  -3.79453424   6.1899071   7.78564648   0.1853748
## 166  -3.8073012  -5.22756707  -3.79453424   6.1899071   7.78564648   0.1853748
## 167  -3.8073012  -5.22756707  -3.79453424   6.1899071   7.78564648   0.1853748
## 168  -3.8073012  -5.22756707  -3.79453424   6.1899071   7.78564648   0.1853748
## 169  -0.2277127   3.50744805   0.97434438  -5.8907443   3.59569165  -2.4734944
## 170  -0.2277127   3.50744805   0.97434438  -5.8907443   3.59569165  -2.4734944
## 171  -0.2277127   3.50744805   0.97434438  -5.8907443   3.59569165  -2.4734944
## 172  -0.2277127   3.50744805   0.97434438  -5.8907443   3.59569165  -2.4734944
## 173  -0.2277127   3.50744805   0.97434438  -5.8907443   3.59569165  -2.4734944
## 174  -0.2277127   3.50744805   0.97434438  -5.8907443   3.59569165  -2.4734944
## 175  -0.2277127   3.50744805   0.97434438  -5.8907443   3.59569165  -2.4734944
## 176  -0.2277127   3.50744805   0.97434438  -5.8907443   3.59569165  -2.4734944
## 177  -0.3453433  -1.98082818  -0.80571267  -3.8561446   2.86321396  -4.3426931
## 178  -0.3453433  -1.98082818  -0.80571267  -3.8561446   2.86321396  -4.3426931
## 179  -0.3453433  -1.98082818  -0.80571267  -3.8561446   2.86321396  -4.3426931
## 180  -0.3453433  -1.98082818  -0.80571267  -3.8561446   2.86321396  -4.3426931
## 181  -0.3453433  -1.98082818  -0.80571267  -3.8561446   2.86321396  -4.3426931
## 182  -0.3453433  -1.98082818  -0.80571267  -3.8561446   2.86321396  -4.3426931
## 183  -0.3453433  -1.98082818  -0.80571267  -3.8561446   2.86321396  -4.3426931
## 184  -0.3453433  -1.98082818  -0.80571267  -3.8561446   2.86321396  -4.3426931
## 185   6.1608479   0.51897952  -4.16807520   4.0725814  -0.50943796   2.5715681
## 186   6.1608479   0.51897952  -4.16807520   4.0725814  -0.50943796   2.5715681
## 187   6.1608479   0.51897952  -4.16807520   4.0725814  -0.50943796   2.5715681
## 188   6.1608479   0.51897952  -4.16807520   4.0725814  -0.50943796   2.5715681
## 189   6.1608479   0.51897952  -4.16807520   4.0725814  -0.50943796   2.5715681
## 190   6.1608479   0.51897952  -4.16807520   4.0725814  -0.50943796   2.5715681
## 191   6.1608479   0.51897952  -4.16807520   4.0725814  -0.50943796   2.5715681
## 192   6.1608479   0.51897952  -4.16807520   4.0725814  -0.50943796   2.5715681
## 193  17.6909751 -16.66208468  -1.42067403   6.7277218   6.02590467 -10.1604633
## 194  17.6909751 -16.66208468  -1.42067403   6.7277218   6.02590467 -10.1604633
## 195  17.6909751 -16.66208468  -1.42067403   6.7277218   6.02590467 -10.1604633
## 196  17.6909751 -16.66208468  -1.42067403   6.7277218   6.02590467 -10.1604633
## 197  17.6909751 -16.66208468  -1.42067403   6.7277218   6.02590467 -10.1604633
## 198  17.6909751 -16.66208468  -1.42067403   6.7277218   6.02590467 -10.1604633
## 199  17.6909751 -16.66208468  -1.42067403   6.7277218   6.02590467 -10.1604633
## 200  17.6909751 -16.66208468  -1.42067403   6.7277218   6.02590467 -10.1604633
## 201  -4.4530805 -35.73059892   3.07237503   0.9313960  -6.93042748 -21.5210839
## 202  -4.4530805 -35.73059892   3.07237503   0.9313960  -6.93042748 -21.5210839
## 203  -4.4530805 -35.73059892   3.07237503   0.9313960  -6.93042748 -21.5210839
## 204  -4.4530805 -35.73059892   3.07237503   0.9313960  -6.93042748 -21.5210839
## 205  -4.4530805 -35.73059892   3.07237503   0.9313960  -6.93042748 -21.5210839
## 206  -4.4530805 -35.73059892   3.07237503   0.9313960  -6.93042748 -21.5210839
## 207  -4.4530805 -35.73059892   3.07237503   0.9313960  -6.93042748 -21.5210839
## 208  -4.4530805 -35.73059892   3.07237503   0.9313960  -6.93042748 -21.5210839
## 209  -6.1632561  -9.75996618 -11.12618964   7.0408444   9.13210770   1.5364879
## 210  -6.1632561  -9.75996618 -11.12618964   7.0408444   9.13210770   1.5364879
## 211  -6.1632561  -9.75996618 -11.12618964   7.0408444   9.13210770   1.5364879
## 212  -6.1632561  -9.75996618 -11.12618964   7.0408444   9.13210770   1.5364879
## 213  -6.1632561  -9.75996618 -11.12618964   7.0408444   9.13210770   1.5364879
## 214  -6.1632561  -9.75996618 -11.12618964   7.0408444   9.13210770   1.5364879
## 215  -6.1632561  -9.75996618 -11.12618964   7.0408444   9.13210770   1.5364879
## 216  -6.1632561  -9.75996618 -11.12618964   7.0408444   9.13210770   1.5364879
## 217   5.1120605   0.60960057  -1.63824313  -2.9276008  -0.87518314   3.4284101
## 218   5.1120605   0.60960057  -1.63824313  -2.9276008  -0.87518314   3.4284101
## 219   5.1120605   0.60960057  -1.63824313  -2.9276008  -0.87518314   3.4284101
## 220   5.1120605   0.60960057  -1.63824313  -2.9276008  -0.87518314   3.4284101
## 221   5.1120605   0.60960057  -1.63824313  -2.9276008  -0.87518314   3.4284101
## 222   5.1120605   0.60960057  -1.63824313  -2.9276008  -0.87518314   3.4284101
## 223   5.1120605   0.60960057  -1.63824313  -2.9276008  -0.87518314   3.4284101
## 224   5.1120605   0.60960057  -1.63824313  -2.9276008  -0.87518314   3.4284101
## 225   0.8508833  -4.47315869   4.98025992   2.2187668  -2.80409121   2.3612080
## 226   0.8508833  -4.47315869   4.98025992   2.2187668  -2.80409121   2.3612080
## 227   0.8508833  -4.47315869   4.98025992   2.2187668  -2.80409121   2.3612080
## 228   0.8508833  -4.47315869   4.98025992   2.2187668  -2.80409121   2.3612080
## 229   0.8508833  -4.47315869   4.98025992   2.2187668  -2.80409121   2.3612080
## 230   0.8508833  -4.47315869   4.98025992   2.2187668  -2.80409121   2.3612080
## 231   0.8508833  -4.47315869   4.98025992   2.2187668  -2.80409121   2.3612080
## 232   0.8508833  -4.47315869   4.98025992   2.2187668  -2.80409121   2.3612080
## 233  10.2436718  -4.69067060 -73.47293643   5.8738030  -3.26413826 -44.1788908
## 234  10.2436718  -4.69067060 -73.47293643   5.8738030  -3.26413826 -44.1788908
## 235  10.2436718  -4.69067060 -73.47293643   5.8738030  -3.26413826 -44.1788908
## 236  10.2436718  -4.69067060 -73.47293643   5.8738030  -3.26413826 -44.1788908
## 237  10.2436718  -4.69067060 -73.47293643   5.8738030  -3.26413826 -44.1788908
## 238  10.2436718  -4.69067060 -73.47293643   5.8738030  -3.26413826 -44.1788908
## 239  10.2436718  -4.69067060 -73.47293643   5.8738030  -3.26413826 -44.1788908
## 240  10.2436718  -4.69067060 -73.47293643   5.8738030  -3.26413826 -44.1788908
## 241 -16.4669668  -3.65693796  -3.89113660   6.6227403  -5.89400321  18.2043885
## 242 -16.4669668  -3.65693796  -3.89113660   6.6227403  -5.89400321  18.2043885
## 243 -16.4669668  -3.65693796  -3.89113660   6.6227403  -5.89400321  18.2043885
## 244 -16.4669668  -3.65693796  -3.89113660   6.6227403  -5.89400321  18.2043885
## 245 -16.4669668  -3.65693796  -3.89113660   6.6227403  -5.89400321  18.2043885
## 246 -16.4669668  -3.65693796  -3.89113660   6.6227403  -5.89400321  18.2043885
## 247 -16.4669668  -3.65693796  -3.89113660   6.6227403  -5.89400321  18.2043885
## 248 -16.4669668  -3.65693796  -3.89113660   6.6227403  -5.89400321  18.2043885
## 249   5.7820507  -1.48013556   2.27826615   3.2804483 -13.19952625   3.0887738
## 250   5.7820507  -1.48013556   2.27826615   3.2804483 -13.19952625   3.0887738
## 251   5.7820507  -1.48013556   2.27826615   3.2804483 -13.19952625   3.0887738
## 252   5.7820507  -1.48013556   2.27826615   3.2804483 -13.19952625   3.0887738
## 253   5.7820507  -1.48013556   2.27826615   3.2804483 -13.19952625   3.0887738
## 254   5.7820507  -1.48013556   2.27826615   3.2804483 -13.19952625   3.0887738
## 255   5.7820507  -1.48013556   2.27826615   3.2804483 -13.19952625   3.0887738
## 256   5.7820507  -1.48013556   2.27826615   3.2804483 -13.19952625   3.0887738
## 257   1.4870486  -2.40821272   2.64870423   1.4928851   5.11622721  -1.7061926
## 258   1.4870486  -2.40821272   2.64870423   1.4928851   5.11622721  -1.7061926
## 259   1.4870486  -2.40821272   2.64870423   1.4928851   5.11622721  -1.7061926
## 260   1.4870486  -2.40821272   2.64870423   1.4928851   5.11622721  -1.7061926
## 261   1.4870486  -2.40821272   2.64870423   1.4928851   5.11622721  -1.7061926
## 262   1.4870486  -2.40821272   2.64870423   1.4928851   5.11622721  -1.7061926
## 263   1.4870486  -2.40821272   2.64870423   1.4928851   5.11622721  -1.7061926
## 264   1.4870486  -2.40821272   2.64870423   1.4928851   5.11622721  -1.7061926
## 265  12.6480859 -12.81202947  16.24766417   1.3692873   0.24726968  19.1872078
## 266  12.6480859 -12.81202947  16.24766417   1.3692873   0.24726968  19.1872078
## 267  12.6480859 -12.81202947  16.24766417   1.3692873   0.24726968  19.1872078
## 268  12.6480859 -12.81202947  16.24766417   1.3692873   0.24726968  19.1872078
## 269  12.6480859 -12.81202947  16.24766417   1.3692873   0.24726968  19.1872078
## 270  12.6480859 -12.81202947  16.24766417   1.3692873   0.24726968  19.1872078
## 271  12.6480859 -12.81202947  16.24766417   1.3692873   0.24726968  19.1872078
## 272  12.6480859 -12.81202947  16.24766417   1.3692873   0.24726968  19.1872078
## 273 -15.7172100   7.50687730   0.30971535  -5.9661506  33.07987637  20.3232943
## 274 -15.7172100   7.50687730   0.30971535  -5.9661506  33.07987637  20.3232943
## 275 -15.7172100   7.50687730   0.30971535  -5.9661506  33.07987637  20.3232943
## 276 -15.7172100   7.50687730   0.30971535  -5.9661506  33.07987637  20.3232943
## 277 -15.7172100   7.50687730   0.30971535  -5.9661506  33.07987637  20.3232943
## 278 -15.7172100   7.50687730   0.30971535  -5.9661506  33.07987637  20.3232943
## 279 -15.7172100   7.50687730   0.30971535  -5.9661506  33.07987637  20.3232943
## 280 -15.7172100   7.50687730   0.30971535  -5.9661506  33.07987637  20.3232943
## 281   6.3054270  14.19794962  -0.79216374  -1.9464970 -25.87957077   5.6817007
## 282   6.3054270  14.19794962  -0.79216374  -1.9464970 -25.87957077   5.6817007
## 283   6.3054270  14.19794962  -0.79216374  -1.9464970 -25.87957077   5.6817007
## 284   6.3054270  14.19794962  -0.79216374  -1.9464970 -25.87957077   5.6817007
## 285   6.3054270  14.19794962  -0.79216374  -1.9464970 -25.87957077   5.6817007
## 286   6.3054270  14.19794962  -0.79216374  -1.9464970 -25.87957077   5.6817007
## 287   6.3054270  14.19794962  -0.79216374  -1.9464970 -25.87957077   5.6817007
## 288   6.3054270  14.19794962  -0.79216374  -1.9464970 -25.87957077   5.6817007
## 289  -2.8207378  -6.82096152   3.44467706  -7.7056240  -0.58631955  -4.4834842
## 290  -2.8207378  -6.82096152   3.44467706  -7.7056240  -0.58631955  -4.4834842
## 291  -2.8207378  -6.82096152   3.44467706  -7.7056240  -0.58631955  -4.4834842
## 292  -2.8207378  -6.82096152   3.44467706  -7.7056240  -0.58631955  -4.4834842
## 293  -2.8207378  -6.82096152   3.44467706  -7.7056240  -0.58631955  -4.4834842
## 294  -2.8207378  -6.82096152   3.44467706  -7.7056240  -0.58631955  -4.4834842
## 295  -2.8207378  -6.82096152   3.44467706  -7.7056240  -0.58631955  -4.4834842
## 296  -2.8207378  -6.82096152   3.44467706  -7.7056240  -0.58631955  -4.4834842
## 297  -0.4021731  -6.64812888   0.03192374  -4.3533539  -0.64273298   1.7444709
## 298  -0.4021731  -6.64812888   0.03192374  -4.3533539  -0.64273298   1.7444709
## 299  -0.4021731  -6.64812888   0.03192374  -4.3533539  -0.64273298   1.7444709
## 300  -0.4021731  -6.64812888   0.03192374  -4.3533539  -0.64273298   1.7444709
## 301  -0.4021731  -6.64812888   0.03192374  -4.3533539  -0.64273298   1.7444709
## 302  -0.4021731  -6.64812888   0.03192374  -4.3533539  -0.64273298   1.7444709
## 303  -0.4021731  -6.64812888   0.03192374  -4.3533539  -0.64273298   1.7444709
## 304  -0.4021731  -6.64812888   0.03192374  -4.3533539  -0.64273298   1.7444709
## 305   4.7608731  -4.95931363   0.71466030   0.6317756  -2.36377949  -1.4531533
## 306   4.7608731  -4.95931363   0.71466030   0.6317756  -2.36377949  -1.4531533
## 307   4.7608731  -4.95931363   0.71466030   0.6317756  -2.36377949  -1.4531533
## 308   4.7608731  -4.95931363   0.71466030   0.6317756  -2.36377949  -1.4531533
## 309   4.7608731  -4.95931363   0.71466030   0.6317756  -2.36377949  -1.4531533
## 310   4.7608731  -4.95931363   0.71466030   0.6317756  -2.36377949  -1.4531533
## 311   4.7608731  -4.95931363   0.71466030   0.6317756  -2.36377949  -1.4531533
## 312   4.7608731  -4.95931363   0.71466030   0.6317756  -2.36377949  -1.4531533
## 313 -19.9309205 -11.24598478  15.08244590  -0.2805042  11.26214795  14.9540714
## 314 -19.9309205 -11.24598478  15.08244590  -0.2805042  11.26214795  14.9540714
## 315 -19.9309205 -11.24598478  15.08244590  -0.2805042  11.26214795  14.9540714
## 316 -19.9309205 -11.24598478  15.08244590  -0.2805042  11.26214795  14.9540714
## 317 -19.9309205 -11.24598478  15.08244590  -0.2805042  11.26214795  14.9540714
## 318 -19.9309205 -11.24598478  15.08244590  -0.2805042  11.26214795  14.9540714
## 319 -19.9309205 -11.24598478  15.08244590  -0.2805042  11.26214795  14.9540714
## 320 -19.9309205 -11.24598478  15.08244590  -0.2805042  11.26214795  14.9540714
## 321 -32.0591160   7.98920634   6.27196128  -2.4205965  11.73506730 -13.7953279
## 322 -32.0591160   7.98920634   6.27196128  -2.4205965  11.73506730 -13.7953279
## 323 -32.0591160   7.98920634   6.27196128  -2.4205965  11.73506730 -13.7953279
## 324 -32.0591160   7.98920634   6.27196128  -2.4205965  11.73506730 -13.7953279
## 325 -32.0591160   7.98920634   6.27196128  -2.4205965  11.73506730 -13.7953279
## 326 -32.0591160   7.98920634   6.27196128  -2.4205965  11.73506730 -13.7953279
## 327 -32.0591160   7.98920634   6.27196128  -2.4205965  11.73506730 -13.7953279
## 328 -32.0591160   7.98920634   6.27196128  -2.4205965  11.73506730 -13.7953279
## 329  14.7775307  -0.66634535   1.51018473  -5.1079940   1.90828039  -8.6818710
## 330  14.7775307  -0.66634535   1.51018473  -5.1079940   1.90828039  -8.6818710
## 331  14.7775307  -0.66634535   1.51018473  -5.1079940   1.90828039  -8.6818710
## 332  14.7775307  -0.66634535   1.51018473  -5.1079940   1.90828039  -8.6818710
## 333  14.7775307  -0.66634535   1.51018473  -5.1079940   1.90828039  -8.6818710
## 334  14.7775307  -0.66634535   1.51018473  -5.1079940   1.90828039  -8.6818710
## 335  14.7775307  -0.66634535   1.51018473  -5.1079940   1.90828039  -8.6818710
## 336  14.7775307  -0.66634535   1.51018473  -5.1079940   1.90828039  -8.6818710
## 337   1.3027847  10.45970160  56.88922675 -26.8293439  38.94386945  19.1055788
## 338   1.3027847  10.45970160  56.88922675 -26.8293439  38.94386945  19.1055788
## 339   1.3027847  10.45970160  56.88922675 -26.8293439  38.94386945  19.1055788
## 340   1.3027847  10.45970160  56.88922675 -26.8293439  38.94386945  19.1055788
## 341   1.3027847  10.45970160  56.88922675 -26.8293439  38.94386945  19.1055788
## 342   1.3027847  10.45970160  56.88922675 -26.8293439  38.94386945  19.1055788
## 343   1.3027847  10.45970160  56.88922675 -26.8293439  38.94386945  19.1055788
## 344   1.3027847  10.45970160  56.88922675 -26.8293439  38.94386945  19.1055788
## 345  -8.6177400 -15.67364680 -19.24149044  80.5533141  35.41095375  -6.4176475
## 346  -8.6177400 -15.67364680 -19.24149044  80.5533141  35.41095375  -6.4176475
## 347  -8.6177400 -15.67364680 -19.24149044  80.5533141  35.41095375  -6.4176475
## 348  -8.6177400 -15.67364680 -19.24149044  80.5533141  35.41095375  -6.4176475
## 349  -8.6177400 -15.67364680 -19.24149044  80.5533141  35.41095375  -6.4176475
## 350  -8.6177400 -15.67364680 -19.24149044  80.5533141  35.41095375  -6.4176475
## 351  -8.6177400 -15.67364680 -19.24149044  80.5533141  35.41095375  -6.4176475
## 352  -8.6177400 -15.67364680 -19.24149044  80.5533141  35.41095375  -6.4176475
## 353  -0.7076699  -2.45645065   2.73350534  -4.9079139   8.63522242  -9.5647156
## 354  -0.7076699  -2.45645065   2.73350534  -4.9079139   8.63522242  -9.5647156
## 355  -0.7076699  -2.45645065   2.73350534  -4.9079139   8.63522242  -9.5647156
## 356  -0.7076699  -2.45645065   2.73350534  -4.9079139   8.63522242  -9.5647156
## 357  -0.7076699  -2.45645065   2.73350534  -4.9079139   8.63522242  -9.5647156
## 358  -0.7076699  -2.45645065   2.73350534  -4.9079139   8.63522242  -9.5647156
## 359  -0.7076699  -2.45645065   2.73350534  -4.9079139   8.63522242  -9.5647156
## 360  -0.7076699  -2.45645065   2.73350534  -4.9079139   8.63522242  -9.5647156
## 361  16.7835680   4.46692707   6.34668836 -11.4308911 -18.05035374  -8.4417784
## 362  16.7835680   4.46692707   6.34668836 -11.4308911 -18.05035374  -8.4417784
## 363  16.7835680   4.46692707   6.34668836 -11.4308911 -18.05035374  -8.4417784
## 364  16.7835680   4.46692707   6.34668836 -11.4308911 -18.05035374  -8.4417784
## 365  16.7835680   4.46692707   6.34668836 -11.4308911 -18.05035374  -8.4417784
## 366  16.7835680   4.46692707   6.34668836 -11.4308911 -18.05035374  -8.4417784
## 367  16.7835680   4.46692707   6.34668836 -11.4308911 -18.05035374  -8.4417784
## 368  16.7835680   4.46692707   6.34668836 -11.4308911 -18.05035374  -8.4417784
## 369   4.1682298  -3.93217235   6.16133980   3.9483010  -5.98004631  -0.8863413
## 370   4.1682298  -3.93217235   6.16133980   3.9483010  -5.98004631  -0.8863413
## 371   4.1682298  -3.93217235   6.16133980   3.9483010  -5.98004631  -0.8863413
## 372   4.1682298  -3.93217235   6.16133980   3.9483010  -5.98004631  -0.8863413
## 373   4.1682298  -3.93217235   6.16133980   3.9483010  -5.98004631  -0.8863413
## 374   4.1682298  -3.93217235   6.16133980   3.9483010  -5.98004631  -0.8863413
## 375   4.1682298  -3.93217235   6.16133980   3.9483010  -5.98004631  -0.8863413
## 376   4.1682298  -3.93217235   6.16133980   3.9483010  -5.98004631  -0.8863413
## 377  -8.1098970 -13.77716381  -0.89207585   0.4242431  -1.73001710   2.1747343
## 378  -8.1098970 -13.77716381  -0.89207585   0.4242431  -1.73001710   2.1747343
## 379  -8.1098970 -13.77716381  -0.89207585   0.4242431  -1.73001710   2.1747343
## 380  -8.1098970 -13.77716381  -0.89207585   0.4242431  -1.73001710   2.1747343
## 381  -8.1098970 -13.77716381  -0.89207585   0.4242431  -1.73001710   2.1747343
## 382  -8.1098970 -13.77716381  -0.89207585   0.4242431  -1.73001710   2.1747343
## 383  -8.1098970 -13.77716381  -0.89207585   0.4242431  -1.73001710   2.1747343
## 384  -8.1098970 -13.77716381  -0.89207585   0.4242431  -1.73001710   2.1747343
## 385   2.7411691  -5.82665166  -7.21946962  -0.2526233  -0.79123505   5.1671512
## 386   2.7411691  -5.82665166  -7.21946962  -0.2526233  -0.79123505   5.1671512
## 387   2.7411691  -5.82665166  -7.21946962  -0.2526233  -0.79123505   5.1671512
## 388   2.7411691  -5.82665166  -7.21946962  -0.2526233  -0.79123505   5.1671512
## 389   2.7411691  -5.82665166  -7.21946962  -0.2526233  -0.79123505   5.1671512
## 390   2.7411691  -5.82665166  -7.21946962  -0.2526233  -0.79123505   5.1671512
## 391   2.7411691  -5.82665166  -7.21946962  -0.2526233  -0.79123505   5.1671512
## 392   2.7411691  -5.82665166  -7.21946962  -0.2526233  -0.79123505   5.1671512
## 393   3.0912302   0.86781033  -2.24222335  -1.0416293  -0.01664866  -0.7840408
## 394   3.0912302   0.86781033  -2.24222335  -1.0416293  -0.01664866  -0.7840408
## 395   3.0912302   0.86781033  -2.24222335  -1.0416293  -0.01664866  -0.7840408
## 396   3.0912302   0.86781033  -2.24222335  -1.0416293  -0.01664866  -0.7840408
## 397   3.0912302   0.86781033  -2.24222335  -1.0416293  -0.01664866  -0.7840408
## 398   3.0912302   0.86781033  -2.24222335  -1.0416293  -0.01664866  -0.7840408
## 399   3.0912302   0.86781033  -2.24222335  -1.0416293  -0.01664866  -0.7840408
## 400   3.0912302   0.86781033  -2.24222335  -1.0416293  -0.01664866  -0.7840408
## 401  -4.7190746  24.22807803  -2.01832462  22.5913156   6.63812654   9.6851271
## 402  -4.7190746  24.22807803  -2.01832462  22.5913156   6.63812654   9.6851271
## 403  -4.7190746  24.22807803  -2.01832462  22.5913156   6.63812654   9.6851271
## 404  -4.7190746  24.22807803  -2.01832462  22.5913156   6.63812654   9.6851271
## 405  -4.7190746  24.22807803  -2.01832462  22.5913156   6.63812654   9.6851271
## 406  -4.7190746  24.22807803  -2.01832462  22.5913156   6.63812654   9.6851271
## 407  -4.7190746  24.22807803  -2.01832462  22.5913156   6.63812654   9.6851271
## 408  -4.7190746  24.22807803  -2.01832462  22.5913156   6.63812654   9.6851271
## 409 -12.1951514  11.34416093   0.96533851  18.5385098   1.00930599  12.1109450
## 410 -12.1951514  11.34416093   0.96533851  18.5385098   1.00930599  12.1109450
## 411 -12.1951514  11.34416093   0.96533851  18.5385098   1.00930599  12.1109450
## 412 -12.1951514  11.34416093   0.96533851  18.5385098   1.00930599  12.1109450
## 413 -12.1951514  11.34416093   0.96533851  18.5385098   1.00930599  12.1109450
## 414 -12.1951514  11.34416093   0.96533851  18.5385098   1.00930599  12.1109450
## 415 -12.1951514  11.34416093   0.96533851  18.5385098   1.00930599  12.1109450
## 416 -12.1951514  11.34416093   0.96533851  18.5385098   1.00930599  12.1109450
## 417  -4.5163167   8.18400049  -3.58397906   0.8804562  -1.60783443   2.9307664
## 418  -4.5163167   8.18400049  -3.58397906   0.8804562  -1.60783443   2.9307664
## 419  -4.5163167   8.18400049  -3.58397906   0.8804562  -1.60783443   2.9307664
## 420  -4.5163167   8.18400049  -3.58397906   0.8804562  -1.60783443   2.9307664
## 421  -4.5163167   8.18400049  -3.58397906   0.8804562  -1.60783443   2.9307664
## 422  -4.5163167   8.18400049  -3.58397906   0.8804562  -1.60783443   2.9307664
## 423  -4.5163167   8.18400049  -3.58397906   0.8804562  -1.60783443   2.9307664
## 424  -4.5163167   8.18400049  -3.58397906   0.8804562  -1.60783443   2.9307664
## 425  22.4850513   7.78103136 -13.36118117  17.8569450  25.24894847 -19.8080028
## 426  22.4850513   7.78103136 -13.36118117  17.8569450  25.24894847 -19.8080028
## 427  22.4850513   7.78103136 -13.36118117  17.8569450  25.24894847 -19.8080028
## 428  22.4850513   7.78103136 -13.36118117  17.8569450  25.24894847 -19.8080028
## 429  22.4850513   7.78103136 -13.36118117  17.8569450  25.24894847 -19.8080028
## 430  22.4850513   7.78103136 -13.36118117  17.8569450  25.24894847 -19.8080028
## 431  22.4850513   7.78103136 -13.36118117  17.8569450  25.24894847 -19.8080028
## 432  22.4850513   7.78103136 -13.36118117  17.8569450  25.24894847 -19.8080028
## 433   3.7693203   8.45200941   5.69265885  -4.7967328  11.88789833 -10.3122467
## 434   3.7693203   8.45200941   5.69265885  -4.7967328  11.88789833 -10.3122467
## 435   3.7693203   8.45200941   5.69265885  -4.7967328  11.88789833 -10.3122467
## 436   3.7693203   8.45200941   5.69265885  -4.7967328  11.88789833 -10.3122467
## 437   3.7693203   8.45200941   5.69265885  -4.7967328  11.88789833 -10.3122467
## 438   3.7693203   8.45200941   5.69265885  -4.7967328  11.88789833 -10.3122467
## 439   3.7693203   8.45200941   5.69265885  -4.7967328  11.88789833 -10.3122467
## 440   3.7693203   8.45200941   5.69265885  -4.7967328  11.88789833 -10.3122467
## 441  -0.5014706  -1.22691020  -1.16884875   4.5217571  -2.62451516   3.1818948
## 442  -0.5014706  -1.22691020  -1.16884875   4.5217571  -2.62451516   3.1818948
## 443  -0.5014706  -1.22691020  -1.16884875   4.5217571  -2.62451516   3.1818948
## 444  -0.5014706  -1.22691020  -1.16884875   4.5217571  -2.62451516   3.1818948
## 445  -0.5014706  -1.22691020  -1.16884875   4.5217571  -2.62451516   3.1818948
## 446  -0.5014706  -1.22691020  -1.16884875   4.5217571  -2.62451516   3.1818948
## 447  -0.5014706  -1.22691020  -1.16884875   4.5217571  -2.62451516   3.1818948
## 448  -0.5014706  -1.22691020  -1.16884875   4.5217571  -2.62451516   3.1818948
## 449   6.9716199  -0.29875735  -2.64744042  -0.2479463  -2.63646868   6.9671121
## 450   6.9716199  -0.29875735  -2.64744042  -0.2479463  -2.63646868   6.9671121
## 451   6.9716199  -0.29875735  -2.64744042  -0.2479463  -2.63646868   6.9671121
## 452   6.9716199  -0.29875735  -2.64744042  -0.2479463  -2.63646868   6.9671121
## 453   6.9716199  -0.29875735  -2.64744042  -0.2479463  -2.63646868   6.9671121
## 454   6.9716199  -0.29875735  -2.64744042  -0.2479463  -2.63646868   6.9671121
## 455   6.9716199  -0.29875735  -2.64744042  -0.2479463  -2.63646868   6.9671121
## 456   6.9716199  -0.29875735  -2.64744042  -0.2479463  -2.63646868   6.9671121
## 457   9.6062231  -2.30162467   5.25561886 -10.5655869   9.97113123   0.2123298
## 458   9.6062231  -2.30162467   5.25561886 -10.5655869   9.97113123   0.2123298
## 459   9.6062231  -2.30162467   5.25561886 -10.5655869   9.97113123   0.2123298
## 460   9.6062231  -2.30162467   5.25561886 -10.5655869   9.97113123   0.2123298
## 461   9.6062231  -2.30162467   5.25561886 -10.5655869   9.97113123   0.2123298
## 462   9.6062231  -2.30162467   5.25561886 -10.5655869   9.97113123   0.2123298
## 463   9.6062231  -2.30162467   5.25561886 -10.5655869   9.97113123   0.2123298
## 464   9.6062231  -2.30162467   5.25561886 -10.5655869   9.97113123   0.2123298
## 465  -5.8215581 -16.66405284  -2.48880390  -8.9069828   3.53385595   4.4908785
## 466  -5.8215581 -16.66405284  -2.48880390  -8.9069828   3.53385595   4.4908785
## 467  -5.8215581 -16.66405284  -2.48880390  -8.9069828   3.53385595   4.4908785
## 468  -5.8215581 -16.66405284  -2.48880390  -8.9069828   3.53385595   4.4908785
## 469  -5.8215581 -16.66405284  -2.48880390  -8.9069828   3.53385595   4.4908785
## 470  -5.8215581 -16.66405284  -2.48880390  -8.9069828   3.53385595   4.4908785
## 471  -5.8215581 -16.66405284  -2.48880390  -8.9069828   3.53385595   4.4908785
## 472  -5.8215581 -16.66405284  -2.48880390  -8.9069828   3.53385595   4.4908785
## 473  17.6462298 -12.46917386 -10.33410770  -5.0096152  -0.72885301  -9.0081997
## 474  17.6462298 -12.46917386 -10.33410770  -5.0096152  -0.72885301  -9.0081997
## 475  17.6462298 -12.46917386 -10.33410770  -5.0096152  -0.72885301  -9.0081997
## 476  17.6462298 -12.46917386 -10.33410770  -5.0096152  -0.72885301  -9.0081997
## 477  17.6462298 -12.46917386 -10.33410770  -5.0096152  -0.72885301  -9.0081997
## 478  17.6462298 -12.46917386 -10.33410770  -5.0096152  -0.72885301  -9.0081997
## 479  17.6462298 -12.46917386 -10.33410770  -5.0096152  -0.72885301  -9.0081997
## 480  17.6462298 -12.46917386 -10.33410770  -5.0096152  -0.72885301  -9.0081997
## 481  -1.3914199   8.73170295   5.98197317   9.5127303  -9.04518884   5.7699817
## 482  -1.3914199   8.73170295   5.98197317   9.5127303  -9.04518884   5.7699817
## 483  -1.3914199   8.73170295   5.98197317   9.5127303  -9.04518884   5.7699817
## 484  -1.3914199   8.73170295   5.98197317   9.5127303  -9.04518884   5.7699817
## 485  -1.3914199   8.73170295   5.98197317   9.5127303  -9.04518884   5.7699817
## 486  -1.3914199   8.73170295   5.98197317   9.5127303  -9.04518884   5.7699817
## 487  -1.3914199   8.73170295   5.98197317   9.5127303  -9.04518884   5.7699817
## 488  -1.3914199   8.73170295   5.98197317   9.5127303  -9.04518884   5.7699817
## 489 -14.2673916   6.26074257  -5.63731436   3.7234446   9.96845952  -7.6797430
## 490 -14.2673916   6.26074257  -5.63731436   3.7234446   9.96845952  -7.6797430
## 491 -14.2673916   6.26074257  -5.63731436   3.7234446   9.96845952  -7.6797430
## 492 -14.2673916   6.26074257  -5.63731436   3.7234446   9.96845952  -7.6797430
## 493 -14.2673916   6.26074257  -5.63731436   3.7234446   9.96845952  -7.6797430
## 494 -14.2673916   6.26074257  -5.63731436   3.7234446   9.96845952  -7.6797430
## 495 -14.2673916   6.26074257  -5.63731436   3.7234446   9.96845952  -7.6797430
## 496 -14.2673916   6.26074257  -5.63731436   3.7234446   9.96845952  -7.6797430
## 497  -0.4456627  -2.79357984  -3.40457371  -4.9967913   3.76281587  -0.3669735
## 498  -0.4456627  -2.79357984  -3.40457371  -4.9967913   3.76281587  -0.3669735
## 499  -0.4456627  -2.79357984  -3.40457371  -4.9967913   3.76281587  -0.3669735
## 500  -0.4456627  -2.79357984  -3.40457371  -4.9967913   3.76281587  -0.3669735
## 501  -0.4456627  -2.79357984  -3.40457371  -4.9967913   3.76281587  -0.3669735
## 502  -0.4456627  -2.79357984  -3.40457371  -4.9967913   3.76281587  -0.3669735
## 503  -0.4456627  -2.79357984  -3.40457371  -4.9967913   3.76281587  -0.3669735
## 504  -0.4456627  -2.79357984  -3.40457371  -4.9967913   3.76281587  -0.3669735
## 505   3.0318959   5.87088732  -5.58721473 -14.5665216  -2.56870866   1.0598430
## 506   3.0318959   5.87088732  -5.58721473 -14.5665216  -2.56870866   1.0598430
## 507   3.0318959   5.87088732  -5.58721473 -14.5665216  -2.56870866   1.0598430
## 508   3.0318959   5.87088732  -5.58721473 -14.5665216  -2.56870866   1.0598430
## 509   3.0318959   5.87088732  -5.58721473 -14.5665216  -2.56870866   1.0598430
## 510   3.0318959   5.87088732  -5.58721473 -14.5665216  -2.56870866   1.0598430
## 511   3.0318959   5.87088732  -5.58721473 -14.5665216  -2.56870866   1.0598430
## 512   3.0318959   5.87088732  -5.58721473 -14.5665216  -2.56870866   1.0598430
## 513 -34.3895996  17.91216211 -33.08248998   4.4195776 -38.60009467  41.4401993
## 514 -34.3895996  17.91216211 -33.08248998   4.4195776 -38.60009467  41.4401993
## 515 -34.3895996  17.91216211 -33.08248998   4.4195776 -38.60009467  41.4401993
## 516 -34.3895996  17.91216211 -33.08248998   4.4195776 -38.60009467  41.4401993
## 517 -34.3895996  17.91216211 -33.08248998   4.4195776 -38.60009467  41.4401993
## 518 -34.3895996  17.91216211 -33.08248998   4.4195776 -38.60009467  41.4401993
## 519 -34.3895996  17.91216211 -33.08248998   4.4195776 -38.60009467  41.4401993
## 520 -34.3895996  17.91216211 -33.08248998   4.4195776 -38.60009467  41.4401993
## 521   5.8526873 -10.80432527  -1.28261243   1.3783103 -10.08524073  20.1986117
## 522   5.8526873 -10.80432527  -1.28261243   1.3783103 -10.08524073  20.1986117
## 523   5.8526873 -10.80432527  -1.28261243   1.3783103 -10.08524073  20.1986117
## 524   5.8526873 -10.80432527  -1.28261243   1.3783103 -10.08524073  20.1986117
## 525   5.8526873 -10.80432527  -1.28261243   1.3783103 -10.08524073  20.1986117
## 526   5.8526873 -10.80432527  -1.28261243   1.3783103 -10.08524073  20.1986117
## 527   5.8526873 -10.80432527  -1.28261243   1.3783103 -10.08524073  20.1986117
## 528   5.8526873 -10.80432527  -1.28261243   1.3783103 -10.08524073  20.1986117
## 529  14.2463176   9.81101938  38.04549264  21.8633646 -11.46827596 -16.9323455
## 530  14.2463176   9.81101938  38.04549264  21.8633646 -11.46827596 -16.9323455
## 531  14.2463176   9.81101938  38.04549264  21.8633646 -11.46827596 -16.9323455
## 532  14.2463176   9.81101938  38.04549264  21.8633646 -11.46827596 -16.9323455
## 533  14.2463176   9.81101938  38.04549264  21.8633646 -11.46827596 -16.9323455
## 534  14.2463176   9.81101938  38.04549264  21.8633646 -11.46827596 -16.9323455
## 535  14.2463176   9.81101938  38.04549264  21.8633646 -11.46827596 -16.9323455
## 536  14.2463176   9.81101938  38.04549264  21.8633646 -11.46827596 -16.9323455
## 537   6.0766945  -9.67078858   5.54469307  -3.9658929  -5.02653803   1.5032499
## 538   6.0766945  -9.67078858   5.54469307  -3.9658929  -5.02653803   1.5032499
## 539   6.0766945  -9.67078858   5.54469307  -3.9658929  -5.02653803   1.5032499
## 540   6.0766945  -9.67078858   5.54469307  -3.9658929  -5.02653803   1.5032499
## 541   6.0766945  -9.67078858   5.54469307  -3.9658929  -5.02653803   1.5032499
## 542   6.0766945  -9.67078858   5.54469307  -3.9658929  -5.02653803   1.5032499
## 543   6.0766945  -9.67078858   5.54469307  -3.9658929  -5.02653803   1.5032499
## 544   6.0766945  -9.67078858   5.54469307  -3.9658929  -5.02653803   1.5032499
## 545   3.0798192  -0.10015718   2.74555942   3.2461201  -5.14407977   2.7358031
## 546   3.0798192  -0.10015718   2.74555942   3.2461201  -5.14407977   2.7358031
## 547   3.0798192  -0.10015718   2.74555942   3.2461201  -5.14407977   2.7358031
## 548   3.0798192  -0.10015718   2.74555942   3.2461201  -5.14407977   2.7358031
## 549   3.0798192  -0.10015718   2.74555942   3.2461201  -5.14407977   2.7358031
## 550   3.0798192  -0.10015718   2.74555942   3.2461201  -5.14407977   2.7358031
## 551   3.0798192  -0.10015718   2.74555942   3.2461201  -5.14407977   2.7358031
## 552   3.0798192  -0.10015718   2.74555942   3.2461201  -5.14407977   2.7358031
## 553 -64.9439425  -4.88123796   0.13646566  29.1310384  32.80556815   1.9436902
## 554 -64.9439425  -4.88123796   0.13646566  29.1310384  32.80556815   1.9436902
## 555 -64.9439425  -4.88123796   0.13646566  29.1310384  32.80556815   1.9436902
## 556 -64.9439425  -4.88123796   0.13646566  29.1310384  32.80556815   1.9436902
## 557 -64.9439425  -4.88123796   0.13646566  29.1310384  32.80556815   1.9436902
## 558 -64.9439425  -4.88123796   0.13646566  29.1310384  32.80556815   1.9436902
## 559 -64.9439425  -4.88123796   0.13646566  29.1310384  32.80556815   1.9436902
## 560 -64.9439425  -4.88123796   0.13646566  29.1310384  32.80556815   1.9436902
## 561   6.0795280  -9.54656621   5.50615798   2.2966405   0.87843445   3.6623582
## 562   6.0795280  -9.54656621   5.50615798   2.2966405   0.87843445   3.6623582
## 563   6.0795280  -9.54656621   5.50615798   2.2966405   0.87843445   3.6623582
## 564   6.0795280  -9.54656621   5.50615798   2.2966405   0.87843445   3.6623582
## 565   6.0795280  -9.54656621   5.50615798   2.2966405   0.87843445   3.6623582
## 566   6.0795280  -9.54656621   5.50615798   2.2966405   0.87843445   3.6623582
## 567   6.0795280  -9.54656621   5.50615798   2.2966405   0.87843445   3.6623582
## 568   6.0795280  -9.54656621   5.50615798   2.2966405   0.87843445   3.6623582
## 569   2.2093950  -3.54088684  -3.85415875  -2.5334822  -1.91347044   1.4382806
## 570   2.2093950  -3.54088684  -3.85415875  -2.5334822  -1.91347044   1.4382806
## 571   2.2093950  -3.54088684  -3.85415875  -2.5334822  -1.91347044   1.4382806
## 572   2.2093950  -3.54088684  -3.85415875  -2.5334822  -1.91347044   1.4382806
## 573   2.2093950  -3.54088684  -3.85415875  -2.5334822  -1.91347044   1.4382806
## 574   2.2093950  -3.54088684  -3.85415875  -2.5334822  -1.91347044   1.4382806
## 575   2.2093950  -3.54088684  -3.85415875  -2.5334822  -1.91347044   1.4382806
## 576   2.2093950  -3.54088684  -3.85415875  -2.5334822  -1.91347044   1.4382806
## 577   3.7601200  -4.47745468  -6.23068902  -1.6503320   4.13888452  -2.5675200
## 578   3.7601200  -4.47745468  -6.23068902  -1.6503320   4.13888452  -2.5675200
## 579   3.7601200  -4.47745468  -6.23068902  -1.6503320   4.13888452  -2.5675200
## 580   3.7601200  -4.47745468  -6.23068902  -1.6503320   4.13888452  -2.5675200
## 581   3.7601200  -4.47745468  -6.23068902  -1.6503320   4.13888452  -2.5675200
## 582   3.7601200  -4.47745468  -6.23068902  -1.6503320   4.13888452  -2.5675200
## 583   3.7601200  -4.47745468  -6.23068902  -1.6503320   4.13888452  -2.5675200
## 584   3.7601200  -4.47745468  -6.23068902  -1.6503320   4.13888452  -2.5675200
## 585   3.8615463   0.64017004  -4.36550638  -4.1956019  -2.62324446   1.4493174
## 586   3.8615463   0.64017004  -4.36550638  -4.1956019  -2.62324446   1.4493174
## 587   3.8615463   0.64017004  -4.36550638  -4.1956019  -2.62324446   1.4493174
## 588   3.8615463   0.64017004  -4.36550638  -4.1956019  -2.62324446   1.4493174
## 589   3.8615463   0.64017004  -4.36550638  -4.1956019  -2.62324446   1.4493174
## 590   3.8615463   0.64017004  -4.36550638  -4.1956019  -2.62324446   1.4493174
## 591   3.8615463   0.64017004  -4.36550638  -4.1956019  -2.62324446   1.4493174
## 592   3.8615463   0.64017004  -4.36550638  -4.1956019  -2.62324446   1.4493174
## 593  -3.2024205   2.04408609   2.32357395   0.7136729   2.33789138   5.5819501
## 594  -3.2024205   2.04408609   2.32357395   0.7136729   2.33789138   5.5819501
## 595  -3.2024205   2.04408609   2.32357395   0.7136729   2.33789138   5.5819501
## 596  -3.2024205   2.04408609   2.32357395   0.7136729   2.33789138   5.5819501
## 597  -3.2024205   2.04408609   2.32357395   0.7136729   2.33789138   5.5819501
## 598  -3.2024205   2.04408609   2.32357395   0.7136729   2.33789138   5.5819501
## 599  -3.2024205   2.04408609   2.32357395   0.7136729   2.33789138   5.5819501
## 600  -3.2024205   2.04408609   2.32357395   0.7136729   2.33789138   5.5819501
## 601   4.6181737  -3.18000383  -6.95817296   3.7491786  -1.21362161  -6.9085396
## 602   4.6181737  -3.18000383  -6.95817296   3.7491786  -1.21362161  -6.9085396
## 603   4.6181737  -3.18000383  -6.95817296   3.7491786  -1.21362161  -6.9085396
## 604   4.6181737  -3.18000383  -6.95817296   3.7491786  -1.21362161  -6.9085396
## 605   4.6181737  -3.18000383  -6.95817296   3.7491786  -1.21362161  -6.9085396
## 606   4.6181737  -3.18000383  -6.95817296   3.7491786  -1.21362161  -6.9085396
## 607   4.6181737  -3.18000383  -6.95817296   3.7491786  -1.21362161  -6.9085396
## 608   4.6181737  -3.18000383  -6.95817296   3.7491786  -1.21362161  -6.9085396
## 609   1.6867312  -2.55176277  -4.89379969   0.1079149  -0.31592610   0.8490331
## 610   1.6867312  -2.55176277  -4.89379969   0.1079149  -0.31592610   0.8490331
## 611   1.6867312  -2.55176277  -4.89379969   0.1079149  -0.31592610   0.8490331
## 612   1.6867312  -2.55176277  -4.89379969   0.1079149  -0.31592610   0.8490331
## 613   1.6867312  -2.55176277  -4.89379969   0.1079149  -0.31592610   0.8490331
## 614   1.6867312  -2.55176277  -4.89379969   0.1079149  -0.31592610   0.8490331
## 615   1.6867312  -2.55176277  -4.89379969   0.1079149  -0.31592610   0.8490331
## 616   1.6867312  -2.55176277  -4.89379969   0.1079149  -0.31592610   0.8490331
## 617  -4.8057586 -12.11975540  -1.46600839   8.4232050  -1.44261545   3.0499116
## 618  -4.8057586 -12.11975540  -1.46600839   8.4232050  -1.44261545   3.0499116
## 619  -4.8057586 -12.11975540  -1.46600839   8.4232050  -1.44261545   3.0499116
## 620  -4.8057586 -12.11975540  -1.46600839   8.4232050  -1.44261545   3.0499116
## 621  -4.8057586 -12.11975540  -1.46600839   8.4232050  -1.44261545   3.0499116
## 622  -4.8057586 -12.11975540  -1.46600839   8.4232050  -1.44261545   3.0499116
## 623  -4.8057586 -12.11975540  -1.46600839   8.4232050  -1.44261545   3.0499116
## 624  -4.8057586 -12.11975540  -1.46600839   8.4232050  -1.44261545   3.0499116
## 625  -4.8130318  -9.92796393  -0.39913803   5.5141795 -18.83901784  12.2424775
## 626  -4.8130318  -9.92796393  -0.39913803   5.5141795 -18.83901784  12.2424775
## 627  -4.8130318  -9.92796393  -0.39913803   5.5141795 -18.83901784  12.2424775
## 628  -4.8130318  -9.92796393  -0.39913803   5.5141795 -18.83901784  12.2424775
## 629  -4.8130318  -9.92796393  -0.39913803   5.5141795 -18.83901784  12.2424775
## 630  -4.8130318  -9.92796393  -0.39913803   5.5141795 -18.83901784  12.2424775
## 631  -4.8130318  -9.92796393  -0.39913803   5.5141795 -18.83901784  12.2424775
## 632  -4.8130318  -9.92796393  -0.39913803   5.5141795 -18.83901784  12.2424775
## 633   7.5755041  -6.22331770   1.10385701   2.9660962  -2.88734373   3.5754715
## 634   7.5755041  -6.22331770   1.10385701   2.9660962  -2.88734373   3.5754715
## 635   7.5755041  -6.22331770   1.10385701   2.9660962  -2.88734373   3.5754715
## 636   7.5755041  -6.22331770   1.10385701   2.9660962  -2.88734373   3.5754715
## 637   7.5755041  -6.22331770   1.10385701   2.9660962  -2.88734373   3.5754715
## 638   7.5755041  -6.22331770   1.10385701   2.9660962  -2.88734373   3.5754715
## 639   7.5755041  -6.22331770   1.10385701   2.9660962  -2.88734373   3.5754715
## 640   7.5755041  -6.22331770   1.10385701   2.9660962  -2.88734373   3.5754715
## 641  -2.0886248   3.13373472  -0.49446361  10.4935553   8.05903595  -5.5524727
## 642  -2.0886248   3.13373472  -0.49446361  10.4935553   8.05903595  -5.5524727
## 643  -2.0886248   3.13373472  -0.49446361  10.4935553   8.05903595  -5.5524727
## 644  -2.0886248   3.13373472  -0.49446361  10.4935553   8.05903595  -5.5524727
## 645  -2.0886248   3.13373472  -0.49446361  10.4935553   8.05903595  -5.5524727
## 646  -2.0886248   3.13373472  -0.49446361  10.4935553   8.05903595  -5.5524727
## 647  -2.0886248   3.13373472  -0.49446361  10.4935553   8.05903595  -5.5524727
## 648  -2.0886248   3.13373472  -0.49446361  10.4935553   8.05903595  -5.5524727
## 649   1.9640293 -10.83635231   0.56337651   0.6771519  -0.62421210   3.6225743
## 650   1.9640293 -10.83635231   0.56337651   0.6771519  -0.62421210   3.6225743
## 651   1.9640293 -10.83635231   0.56337651   0.6771519  -0.62421210   3.6225743
## 652   1.9640293 -10.83635231   0.56337651   0.6771519  -0.62421210   3.6225743
## 653   1.9640293 -10.83635231   0.56337651   0.6771519  -0.62421210   3.6225743
## 654   1.9640293 -10.83635231   0.56337651   0.6771519  -0.62421210   3.6225743
## 655   1.9640293 -10.83635231   0.56337651   0.6771519  -0.62421210   3.6225743
## 656   1.9640293 -10.83635231   0.56337651   0.6771519  -0.62421210   3.6225743
## 657 -22.0239944 -11.34981976 -22.85953240 -15.9839894 -47.72605380  -1.8532327
## 658 -22.0239944 -11.34981976 -22.85953240 -15.9839894 -47.72605380  -1.8532327
## 659 -22.0239944 -11.34981976 -22.85953240 -15.9839894 -47.72605380  -1.8532327
## 660 -22.0239944 -11.34981976 -22.85953240 -15.9839894 -47.72605380  -1.8532327
## 661 -22.0239944 -11.34981976 -22.85953240 -15.9839894 -47.72605380  -1.8532327
## 662 -22.0239944 -11.34981976 -22.85953240 -15.9839894 -47.72605380  -1.8532327
## 663 -22.0239944 -11.34981976 -22.85953240 -15.9839894 -47.72605380  -1.8532327
## 664 -22.0239944 -11.34981976 -22.85953240 -15.9839894 -47.72605380  -1.8532327
## 665  21.4705217   0.17917378  -1.86172271  -5.3707453  -5.47747313 -14.4387676
## 666  21.4705217   0.17917378  -1.86172271  -5.3707453  -5.47747313 -14.4387676
## 667  21.4705217   0.17917378  -1.86172271  -5.3707453  -5.47747313 -14.4387676
## 668  21.4705217   0.17917378  -1.86172271  -5.3707453  -5.47747313 -14.4387676
## 669  21.4705217   0.17917378  -1.86172271  -5.3707453  -5.47747313 -14.4387676
## 670  21.4705217   0.17917378  -1.86172271  -5.3707453  -5.47747313 -14.4387676
## 671  21.4705217   0.17917378  -1.86172271  -5.3707453  -5.47747313 -14.4387676
## 672  21.4705217   0.17917378  -1.86172271  -5.3707453  -5.47747313 -14.4387676
## 673  -0.1716721  -1.64445439   0.47770641   3.5755996   1.41348355   2.1395006
## 674  -0.1716721  -1.64445439   0.47770641   3.5755996   1.41348355   2.1395006
## 675  -0.1716721  -1.64445439   0.47770641   3.5755996   1.41348355   2.1395006
## 676  -0.1716721  -1.64445439   0.47770641   3.5755996   1.41348355   2.1395006
## 677  -0.1716721  -1.64445439   0.47770641   3.5755996   1.41348355   2.1395006
## 678  -0.1716721  -1.64445439   0.47770641   3.5755996   1.41348355   2.1395006
## 679  -0.1716721  -1.64445439   0.47770641   3.5755996   1.41348355   2.1395006
## 680  -0.1716721  -1.64445439   0.47770641   3.5755996   1.41348355   2.1395006
## 681 -37.7137010 -16.61623838  35.62747686  17.3650547 -36.90352777 -31.7204686
## 682 -37.7137010 -16.61623838  35.62747686  17.3650547 -36.90352777 -31.7204686
## 683 -37.7137010 -16.61623838  35.62747686  17.3650547 -36.90352777 -31.7204686
## 684 -37.7137010 -16.61623838  35.62747686  17.3650547 -36.90352777 -31.7204686
## 685 -37.7137010 -16.61623838  35.62747686  17.3650547 -36.90352777 -31.7204686
## 686 -37.7137010 -16.61623838  35.62747686  17.3650547 -36.90352777 -31.7204686
## 687 -37.7137010 -16.61623838  35.62747686  17.3650547 -36.90352777 -31.7204686
## 688 -37.7137010 -16.61623838  35.62747686  17.3650547 -36.90352777 -31.7204686
## 689   1.3894087  -0.33280110   1.06584543  -2.1290968  -4.30815204   4.1548918
## 690   1.3894087  -0.33280110   1.06584543  -2.1290968  -4.30815204   4.1548918
## 691   1.3894087  -0.33280110   1.06584543  -2.1290968  -4.30815204   4.1548918
## 692   1.3894087  -0.33280110   1.06584543  -2.1290968  -4.30815204   4.1548918
## 693   1.3894087  -0.33280110   1.06584543  -2.1290968  -4.30815204   4.1548918
## 694   1.3894087  -0.33280110   1.06584543  -2.1290968  -4.30815204   4.1548918
## 695   1.3894087  -0.33280110   1.06584543  -2.1290968  -4.30815204   4.1548918
## 696   1.3894087  -0.33280110   1.06584543  -2.1290968  -4.30815204   4.1548918
## 697  -4.9923315   9.16488464  -7.75270602 -23.9535871  48.57033878  48.4805343
## 698  -4.9923315   9.16488464  -7.75270602 -23.9535871  48.57033878  48.4805343
## 699  -4.9923315   9.16488464  -7.75270602 -23.9535871  48.57033878  48.4805343
## 700  -4.9923315   9.16488464  -7.75270602 -23.9535871  48.57033878  48.4805343
## 701  -4.9923315   9.16488464  -7.75270602 -23.9535871  48.57033878  48.4805343
## 702  -4.9923315   9.16488464  -7.75270602 -23.9535871  48.57033878  48.4805343
## 703  -4.9923315   9.16488464  -7.75270602 -23.9535871  48.57033878  48.4805343
## 704  -4.9923315   9.16488464  -7.75270602 -23.9535871  48.57033878  48.4805343
## 705   0.5613564  -2.06318687   0.84337419  -0.4657393  -0.61200774   1.3054684
## 706   0.5613564  -2.06318687   0.84337419  -0.4657393  -0.61200774   1.3054684
## 707   0.5613564  -2.06318687   0.84337419  -0.4657393  -0.61200774   1.3054684
## 708   0.5613564  -2.06318687   0.84337419  -0.4657393  -0.61200774   1.3054684
## 709   0.5613564  -2.06318687   0.84337419  -0.4657393  -0.61200774   1.3054684
## 710   0.5613564  -2.06318687   0.84337419  -0.4657393  -0.61200774   1.3054684
## 711   0.5613564  -2.06318687   0.84337419  -0.4657393  -0.61200774   1.3054684
## 712   0.5613564  -2.06318687   0.84337419  -0.4657393  -0.61200774   1.3054684
## 713   0.0141480  -3.04211248  -4.75531462  -2.4484759   0.86587822  -2.9144653
## 714   0.0141480  -3.04211248  -4.75531462  -2.4484759   0.86587822  -2.9144653
## 715   0.0141480  -3.04211248  -4.75531462  -2.4484759   0.86587822  -2.9144653
## 716   0.0141480  -3.04211248  -4.75531462  -2.4484759   0.86587822  -2.9144653
## 717   0.0141480  -3.04211248  -4.75531462  -2.4484759   0.86587822  -2.9144653
## 718   0.0141480  -3.04211248  -4.75531462  -2.4484759   0.86587822  -2.9144653
## 719   0.0141480  -3.04211248  -4.75531462  -2.4484759   0.86587822  -2.9144653
## 720   0.0141480  -3.04211248  -4.75531462  -2.4484759   0.86587822  -2.9144653
## 721  -1.1816217   3.41871600  -4.86238538  -3.3503523  -7.96600290   1.3825039
## 722  -1.1816217   3.41871600  -4.86238538  -3.3503523  -7.96600290   1.3825039
## 723  -1.1816217   3.41871600  -4.86238538  -3.3503523  -7.96600290   1.3825039
## 724  -1.1816217   3.41871600  -4.86238538  -3.3503523  -7.96600290   1.3825039
## 725  -1.1816217   3.41871600  -4.86238538  -3.3503523  -7.96600290   1.3825039
## 726  -1.1816217   3.41871600  -4.86238538  -3.3503523  -7.96600290   1.3825039
## 727  -1.1816217   3.41871600  -4.86238538  -3.3503523  -7.96600290   1.3825039
## 728  -1.1816217   3.41871600  -4.86238538  -3.3503523  -7.96600290   1.3825039
## 729   6.8888291  -0.18460722 -11.69370521   0.9757445   5.51098217   1.2719832
## 730   6.8888291  -0.18460722 -11.69370521   0.9757445   5.51098217   1.2719832
## 731   6.8888291  -0.18460722 -11.69370521   0.9757445   5.51098217   1.2719832
## 732   6.8888291  -0.18460722 -11.69370521   0.9757445   5.51098217   1.2719832
## 733   6.8888291  -0.18460722 -11.69370521   0.9757445   5.51098217   1.2719832
## 734   6.8888291  -0.18460722 -11.69370521   0.9757445   5.51098217   1.2719832
## 735   6.8888291  -0.18460722 -11.69370521   0.9757445   5.51098217   1.2719832
## 736   6.8888291  -0.18460722 -11.69370521   0.9757445   5.51098217   1.2719832
## 737   4.9367450  -0.08149376   3.44079529   6.6646034  -4.09819153   3.8678295
## 738   4.9367450  -0.08149376   3.44079529   6.6646034  -4.09819153   3.8678295
## 739   4.9367450  -0.08149376   3.44079529   6.6646034  -4.09819153   3.8678295
## 740   4.9367450  -0.08149376   3.44079529   6.6646034  -4.09819153   3.8678295
## 741   4.9367450  -0.08149376   3.44079529   6.6646034  -4.09819153   3.8678295
## 742   4.9367450  -0.08149376   3.44079529   6.6646034  -4.09819153   3.8678295
## 743   4.9367450  -0.08149376   3.44079529   6.6646034  -4.09819153   3.8678295
## 744   4.9367450  -0.08149376   3.44079529   6.6646034  -4.09819153   3.8678295
## 745   6.2109939  -0.35632063  -9.35976217   6.9405961  -5.03341276   8.7399438
## 746   6.2109939  -0.35632063  -9.35976217   6.9405961  -5.03341276   8.7399438
## 747   6.2109939  -0.35632063  -9.35976217   6.9405961  -5.03341276   8.7399438
## 748   6.2109939  -0.35632063  -9.35976217   6.9405961  -5.03341276   8.7399438
## 749   6.2109939  -0.35632063  -9.35976217   6.9405961  -5.03341276   8.7399438
## 750   6.2109939  -0.35632063  -9.35976217   6.9405961  -5.03341276   8.7399438
## 751   6.2109939  -0.35632063  -9.35976217   6.9405961  -5.03341276   8.7399438
## 752   6.2109939  -0.35632063  -9.35976217   6.9405961  -5.03341276   8.7399438
## 753   6.0352938   1.36836053  -4.58203496   6.7449550  -6.41806538   3.5612082
## 754   6.0352938   1.36836053  -4.58203496   6.7449550  -6.41806538   3.5612082
## 755   6.0352938   1.36836053  -4.58203496   6.7449550  -6.41806538   3.5612082
## 756   6.0352938   1.36836053  -4.58203496   6.7449550  -6.41806538   3.5612082
## 757   6.0352938   1.36836053  -4.58203496   6.7449550  -6.41806538   3.5612082
## 758   6.0352938   1.36836053  -4.58203496   6.7449550  -6.41806538   3.5612082
## 759   6.0352938   1.36836053  -4.58203496   6.7449550  -6.41806538   3.5612082
## 760   6.0352938   1.36836053  -4.58203496   6.7449550  -6.41806538   3.5612082
## 761   1.0725309  -8.26473859  -4.42187568   3.6318935 -12.11736085  -1.0644291
## 762   1.0725309  -8.26473859  -4.42187568   3.6318935 -12.11736085  -1.0644291
## 763   1.0725309  -8.26473859  -4.42187568   3.6318935 -12.11736085  -1.0644291
## 764   1.0725309  -8.26473859  -4.42187568   3.6318935 -12.11736085  -1.0644291
## 765   1.0725309  -8.26473859  -4.42187568   3.6318935 -12.11736085  -1.0644291
## 766   1.0725309  -8.26473859  -4.42187568   3.6318935 -12.11736085  -1.0644291
## 767   1.0725309  -8.26473859  -4.42187568   3.6318935 -12.11736085  -1.0644291
## 768   1.0725309  -8.26473859  -4.42187568   3.6318935 -12.11736085  -1.0644291
## 769   2.1750187  -3.29818125   2.20030276   1.0707755  -5.08004248  -2.3639207
## 770   2.1750187  -3.29818125   2.20030276   1.0707755  -5.08004248  -2.3639207
## 771   2.1750187  -3.29818125   2.20030276   1.0707755  -5.08004248  -2.3639207
## 772   2.1750187  -3.29818125   2.20030276   1.0707755  -5.08004248  -2.3639207
## 773   2.1750187  -3.29818125   2.20030276   1.0707755  -5.08004248  -2.3639207
## 774   2.1750187  -3.29818125   2.20030276   1.0707755  -5.08004248  -2.3639207
## 775   2.1750187  -3.29818125   2.20030276   1.0707755  -5.08004248  -2.3639207
## 776   2.1750187  -3.29818125   2.20030276   1.0707755  -5.08004248  -2.3639207
## 777  13.9310194   3.68268238  -4.87999478  -7.9609431   8.83431328  -5.6815076
## 778  13.9310194   3.68268238  -4.87999478  -7.9609431   8.83431328  -5.6815076
## 779  13.9310194   3.68268238  -4.87999478  -7.9609431   8.83431328  -5.6815076
## 780  13.9310194   3.68268238  -4.87999478  -7.9609431   8.83431328  -5.6815076
## 781  13.9310194   3.68268238  -4.87999478  -7.9609431   8.83431328  -5.6815076
## 782  13.9310194   3.68268238  -4.87999478  -7.9609431   8.83431328  -5.6815076
## 783  13.9310194   3.68268238  -4.87999478  -7.9609431   8.83431328  -5.6815076
## 784  13.9310194   3.68268238  -4.87999478  -7.9609431   8.83431328  -5.6815076
## 785  14.8201825  -1.24030365   0.19170273   2.8249534   0.05293847  -4.5842197
## 786  14.8201825  -1.24030365   0.19170273   2.8249534   0.05293847  -4.5842197
## 787  14.8201825  -1.24030365   0.19170273   2.8249534   0.05293847  -4.5842197
## 788  14.8201825  -1.24030365   0.19170273   2.8249534   0.05293847  -4.5842197
## 789  14.8201825  -1.24030365   0.19170273   2.8249534   0.05293847  -4.5842197
## 790  14.8201825  -1.24030365   0.19170273   2.8249534   0.05293847  -4.5842197
## 791  14.8201825  -1.24030365   0.19170273   2.8249534   0.05293847  -4.5842197
## 792  14.8201825  -1.24030365   0.19170273   2.8249534   0.05293847  -4.5842197
## 793   3.4414509 108.43725848  -6.23367857  22.1362733   5.83758504 -17.1790796
## 794   3.4414509 108.43725848  -6.23367857  22.1362733   5.83758504 -17.1790796
## 795   3.4414509 108.43725848  -6.23367857  22.1362733   5.83758504 -17.1790796
## 796   3.4414509 108.43725848  -6.23367857  22.1362733   5.83758504 -17.1790796
## 797   3.4414509 108.43725848  -6.23367857  22.1362733   5.83758504 -17.1790796
## 798   3.4414509 108.43725848  -6.23367857  22.1362733   5.83758504 -17.1790796
## 799   3.4414509 108.43725848  -6.23367857  22.1362733   5.83758504 -17.1790796
##       PC37_score   PC38_score  PC39_score  PC40_score   PC41_score   PC42_score
## 1     1.71656931  -2.91296701  -4.5780192   2.5863894  -7.57925123   1.77447096
## 2     1.71656931  -2.91296701  -4.5780192   2.5863894  -7.57925123   1.77447096
## 3     1.71656931  -2.91296701  -4.5780192   2.5863894  -7.57925123   1.77447096
## 4     1.71656931  -2.91296701  -4.5780192   2.5863894  -7.57925123   1.77447096
## 5     1.71656931  -2.91296701  -4.5780192   2.5863894  -7.57925123   1.77447096
## 6     1.71656931  -2.91296701  -4.5780192   2.5863894  -7.57925123   1.77447096
## 7     1.71656931  -2.91296701  -4.5780192   2.5863894  -7.57925123   1.77447096
## 8     1.71656931  -2.91296701  -4.5780192   2.5863894  -7.57925123   1.77447096
## 9    -0.61615187   1.30927915   5.4474378  -2.4210667   2.16409333   2.93087257
## 10   -0.61615187   1.30927915   5.4474378  -2.4210667   2.16409333   2.93087257
## 11   -0.61615187   1.30927915   5.4474378  -2.4210667   2.16409333   2.93087257
## 12   -0.61615187   1.30927915   5.4474378  -2.4210667   2.16409333   2.93087257
## 13   -0.61615187   1.30927915   5.4474378  -2.4210667   2.16409333   2.93087257
## 14   -0.61615187   1.30927915   5.4474378  -2.4210667   2.16409333   2.93087257
## 15   -0.61615187   1.30927915   5.4474378  -2.4210667   2.16409333   2.93087257
## 16   -0.61615187   1.30927915   5.4474378  -2.4210667   2.16409333   2.93087257
## 17   11.02578589  -3.12001230 -47.6204693   3.9339406 -29.94574123   4.10572666
## 18   11.02578589  -3.12001230 -47.6204693   3.9339406 -29.94574123   4.10572666
## 19   11.02578589  -3.12001230 -47.6204693   3.9339406 -29.94574123   4.10572666
## 20   11.02578589  -3.12001230 -47.6204693   3.9339406 -29.94574123   4.10572666
## 21   11.02578589  -3.12001230 -47.6204693   3.9339406 -29.94574123   4.10572666
## 22   11.02578589  -3.12001230 -47.6204693   3.9339406 -29.94574123   4.10572666
## 23   11.02578589  -3.12001230 -47.6204693   3.9339406 -29.94574123   4.10572666
## 24   11.02578589  -3.12001230 -47.6204693   3.9339406 -29.94574123   4.10572666
## 25  -16.93544886   6.19216214  16.9105731 -12.1526915  -1.14565116   3.76641703
## 26  -16.93544886   6.19216214  16.9105731 -12.1526915  -1.14565116   3.76641703
## 27  -16.93544886   6.19216214  16.9105731 -12.1526915  -1.14565116   3.76641703
## 28  -16.93544886   6.19216214  16.9105731 -12.1526915  -1.14565116   3.76641703
## 29  -16.93544886   6.19216214  16.9105731 -12.1526915  -1.14565116   3.76641703
## 30  -16.93544886   6.19216214  16.9105731 -12.1526915  -1.14565116   3.76641703
## 31  -16.93544886   6.19216214  16.9105731 -12.1526915  -1.14565116   3.76641703
## 32  -16.93544886   6.19216214  16.9105731 -12.1526915  -1.14565116   3.76641703
## 33   -5.98938032 -12.05110738   8.9904575  10.3279067  -6.58011122   9.63153406
## 34   -5.98938032 -12.05110738   8.9904575  10.3279067  -6.58011122   9.63153406
## 35   -5.98938032 -12.05110738   8.9904575  10.3279067  -6.58011122   9.63153406
## 36   -5.98938032 -12.05110738   8.9904575  10.3279067  -6.58011122   9.63153406
## 37   -5.98938032 -12.05110738   8.9904575  10.3279067  -6.58011122   9.63153406
## 38   -5.98938032 -12.05110738   8.9904575  10.3279067  -6.58011122   9.63153406
## 39   -5.98938032 -12.05110738   8.9904575  10.3279067  -6.58011122   9.63153406
## 40   -5.98938032 -12.05110738   8.9904575  10.3279067  -6.58011122   9.63153406
## 41   -0.64058280  -0.30190418   6.1022731  -1.6393335  -2.08446719   2.46453712
## 42   -0.64058280  -0.30190418   6.1022731  -1.6393335  -2.08446719   2.46453712
## 43   -0.64058280  -0.30190418   6.1022731  -1.6393335  -2.08446719   2.46453712
## 44   -0.64058280  -0.30190418   6.1022731  -1.6393335  -2.08446719   2.46453712
## 45   -0.64058280  -0.30190418   6.1022731  -1.6393335  -2.08446719   2.46453712
## 46   -0.64058280  -0.30190418   6.1022731  -1.6393335  -2.08446719   2.46453712
## 47   -0.64058280  -0.30190418   6.1022731  -1.6393335  -2.08446719   2.46453712
## 48   -0.64058280  -0.30190418   6.1022731  -1.6393335  -2.08446719   2.46453712
## 49    7.83483505  14.80212864  -2.8404289 -15.0933771  -3.82833449   8.39343980
## 50    7.83483505  14.80212864  -2.8404289 -15.0933771  -3.82833449   8.39343980
## 51    7.83483505  14.80212864  -2.8404289 -15.0933771  -3.82833449   8.39343980
## 52    7.83483505  14.80212864  -2.8404289 -15.0933771  -3.82833449   8.39343980
## 53    7.83483505  14.80212864  -2.8404289 -15.0933771  -3.82833449   8.39343980
## 54    7.83483505  14.80212864  -2.8404289 -15.0933771  -3.82833449   8.39343980
## 55    7.83483505  14.80212864  -2.8404289 -15.0933771  -3.82833449   8.39343980
## 56    7.83483505  14.80212864  -2.8404289 -15.0933771  -3.82833449   8.39343980
## 57   -3.22920141 -27.99152721  19.2682455   7.0533055 -35.78834874 -12.61735132
## 58   -3.22920141 -27.99152721  19.2682455   7.0533055 -35.78834874 -12.61735132
## 59   -3.22920141 -27.99152721  19.2682455   7.0533055 -35.78834874 -12.61735132
## 60   -3.22920141 -27.99152721  19.2682455   7.0533055 -35.78834874 -12.61735132
## 61   -3.22920141 -27.99152721  19.2682455   7.0533055 -35.78834874 -12.61735132
## 62   -3.22920141 -27.99152721  19.2682455   7.0533055 -35.78834874 -12.61735132
## 63   -3.22920141 -27.99152721  19.2682455   7.0533055 -35.78834874 -12.61735132
## 64   -3.22920141 -27.99152721  19.2682455   7.0533055 -35.78834874 -12.61735132
## 65  -24.96756589  -5.88588262  10.6623349  24.0092933  28.49457663  14.76203361
## 66  -24.96756589  -5.88588262  10.6623349  24.0092933  28.49457663  14.76203361
## 67  -24.96756589  -5.88588262  10.6623349  24.0092933  28.49457663  14.76203361
## 68  -24.96756589  -5.88588262  10.6623349  24.0092933  28.49457663  14.76203361
## 69  -24.96756589  -5.88588262  10.6623349  24.0092933  28.49457663  14.76203361
## 70  -24.96756589  -5.88588262  10.6623349  24.0092933  28.49457663  14.76203361
## 71  -24.96756589  -5.88588262  10.6623349  24.0092933  28.49457663  14.76203361
## 72  -24.96756589  -5.88588262  10.6623349  24.0092933  28.49457663  14.76203361
## 73   -6.96907832 -17.60207507  10.0257314  -6.3164727 -11.54629552  15.68933265
## 74   -6.96907832 -17.60207507  10.0257314  -6.3164727 -11.54629552  15.68933265
## 75   -6.96907832 -17.60207507  10.0257314  -6.3164727 -11.54629552  15.68933265
## 76   -6.96907832 -17.60207507  10.0257314  -6.3164727 -11.54629552  15.68933265
## 77   -6.96907832 -17.60207507  10.0257314  -6.3164727 -11.54629552  15.68933265
## 78   -6.96907832 -17.60207507  10.0257314  -6.3164727 -11.54629552  15.68933265
## 79   -6.96907832 -17.60207507  10.0257314  -6.3164727 -11.54629552  15.68933265
## 80   -6.96907832 -17.60207507  10.0257314  -6.3164727 -11.54629552  15.68933265
## 81   -5.63238247  -5.62256905   1.4638318   0.7319429   2.90169911  -7.28369555
## 82   -5.63238247  -5.62256905   1.4638318   0.7319429   2.90169911  -7.28369555
## 83   -5.63238247  -5.62256905   1.4638318   0.7319429   2.90169911  -7.28369555
## 84   -5.63238247  -5.62256905   1.4638318   0.7319429   2.90169911  -7.28369555
## 85   -5.63238247  -5.62256905   1.4638318   0.7319429   2.90169911  -7.28369555
## 86   -5.63238247  -5.62256905   1.4638318   0.7319429   2.90169911  -7.28369555
## 87   -5.63238247  -5.62256905   1.4638318   0.7319429   2.90169911  -7.28369555
## 88   -5.63238247  -5.62256905   1.4638318   0.7319429   2.90169911  -7.28369555
## 89  -57.05997225 -15.12227496  12.7626359 -30.5041185  36.00189677   1.90262753
## 90  -57.05997225 -15.12227496  12.7626359 -30.5041185  36.00189677   1.90262753
## 91  -57.05997225 -15.12227496  12.7626359 -30.5041185  36.00189677   1.90262753
## 92  -57.05997225 -15.12227496  12.7626359 -30.5041185  36.00189677   1.90262753
## 93  -57.05997225 -15.12227496  12.7626359 -30.5041185  36.00189677   1.90262753
## 94  -57.05997225 -15.12227496  12.7626359 -30.5041185  36.00189677   1.90262753
## 95  -57.05997225 -15.12227496  12.7626359 -30.5041185  36.00189677   1.90262753
## 96  -57.05997225 -15.12227496  12.7626359 -30.5041185  36.00189677   1.90262753
## 97   -2.14424260 -17.56825813  12.3302271  -2.0433278  -3.22152529  -7.89444334
## 98   -2.14424260 -17.56825813  12.3302271  -2.0433278  -3.22152529  -7.89444334
## 99   -2.14424260 -17.56825813  12.3302271  -2.0433278  -3.22152529  -7.89444334
## 100  -2.14424260 -17.56825813  12.3302271  -2.0433278  -3.22152529  -7.89444334
## 101  -2.14424260 -17.56825813  12.3302271  -2.0433278  -3.22152529  -7.89444334
## 102  -2.14424260 -17.56825813  12.3302271  -2.0433278  -3.22152529  -7.89444334
## 103  -2.14424260 -17.56825813  12.3302271  -2.0433278  -3.22152529  -7.89444334
## 104  -2.14424260 -17.56825813  12.3302271  -2.0433278  -3.22152529  -7.89444334
## 105  -2.77177942  -0.02335653  -9.0390213   3.7539385  -3.92815632   2.02559209
## 106  -2.77177942  -0.02335653  -9.0390213   3.7539385  -3.92815632   2.02559209
## 107  -2.77177942  -0.02335653  -9.0390213   3.7539385  -3.92815632   2.02559209
## 108  -2.77177942  -0.02335653  -9.0390213   3.7539385  -3.92815632   2.02559209
## 109  -2.77177942  -0.02335653  -9.0390213   3.7539385  -3.92815632   2.02559209
## 110  -2.77177942  -0.02335653  -9.0390213   3.7539385  -3.92815632   2.02559209
## 111  -2.77177942  -0.02335653  -9.0390213   3.7539385  -3.92815632   2.02559209
## 112  -2.77177942  -0.02335653  -9.0390213   3.7539385  -3.92815632   2.02559209
## 113   0.30737016   2.94857372   2.4934882  -4.8476371  -3.15364274  -5.93641317
## 114   0.30737016   2.94857372   2.4934882  -4.8476371  -3.15364274  -5.93641317
## 115   0.30737016   2.94857372   2.4934882  -4.8476371  -3.15364274  -5.93641317
## 116   0.30737016   2.94857372   2.4934882  -4.8476371  -3.15364274  -5.93641317
## 117   0.30737016   2.94857372   2.4934882  -4.8476371  -3.15364274  -5.93641317
## 118   0.30737016   2.94857372   2.4934882  -4.8476371  -3.15364274  -5.93641317
## 119   0.30737016   2.94857372   2.4934882  -4.8476371  -3.15364274  -5.93641317
## 120   0.30737016   2.94857372   2.4934882  -4.8476371  -3.15364274  -5.93641317
## 121  18.51559271 -20.31894811  -2.0022219 -16.0530140  10.87253634 -30.71523246
## 122  18.51559271 -20.31894811  -2.0022219 -16.0530140  10.87253634 -30.71523246
## 123  18.51559271 -20.31894811  -2.0022219 -16.0530140  10.87253634 -30.71523246
## 124  18.51559271 -20.31894811  -2.0022219 -16.0530140  10.87253634 -30.71523246
## 125  18.51559271 -20.31894811  -2.0022219 -16.0530140  10.87253634 -30.71523246
## 126  18.51559271 -20.31894811  -2.0022219 -16.0530140  10.87253634 -30.71523246
## 127  18.51559271 -20.31894811  -2.0022219 -16.0530140  10.87253634 -30.71523246
## 128  18.51559271 -20.31894811  -2.0022219 -16.0530140  10.87253634 -30.71523246
## 129   0.04220093 -21.84861607  23.1128884  -0.8518280 -13.23501917 -12.07596323
## 130   0.04220093 -21.84861607  23.1128884  -0.8518280 -13.23501917 -12.07596323
## 131   0.04220093 -21.84861607  23.1128884  -0.8518280 -13.23501917 -12.07596323
## 132   0.04220093 -21.84861607  23.1128884  -0.8518280 -13.23501917 -12.07596323
## 133   0.04220093 -21.84861607  23.1128884  -0.8518280 -13.23501917 -12.07596323
## 134   0.04220093 -21.84861607  23.1128884  -0.8518280 -13.23501917 -12.07596323
## 135   0.04220093 -21.84861607  23.1128884  -0.8518280 -13.23501917 -12.07596323
## 136   0.04220093 -21.84861607  23.1128884  -0.8518280 -13.23501917 -12.07596323
## 137  -2.86204781   6.37160035   3.5204547  -2.2620095  -4.17307471   5.27654646
## 138  -2.86204781   6.37160035   3.5204547  -2.2620095  -4.17307471   5.27654646
## 139  -2.86204781   6.37160035   3.5204547  -2.2620095  -4.17307471   5.27654646
## 140  -2.86204781   6.37160035   3.5204547  -2.2620095  -4.17307471   5.27654646
## 141  -2.86204781   6.37160035   3.5204547  -2.2620095  -4.17307471   5.27654646
## 142  -2.86204781   6.37160035   3.5204547  -2.2620095  -4.17307471   5.27654646
## 143  -2.86204781   6.37160035   3.5204547  -2.2620095  -4.17307471   5.27654646
## 144  -2.86204781   6.37160035   3.5204547  -2.2620095  -4.17307471   5.27654646
## 145  -8.36785392   7.27514272  -4.0475331  11.0099551  -7.17286935   6.89186901
## 146  -8.36785392   7.27514272  -4.0475331  11.0099551  -7.17286935   6.89186901
## 147  -8.36785392   7.27514272  -4.0475331  11.0099551  -7.17286935   6.89186901
## 148  -8.36785392   7.27514272  -4.0475331  11.0099551  -7.17286935   6.89186901
## 149  -8.36785392   7.27514272  -4.0475331  11.0099551  -7.17286935   6.89186901
## 150  -8.36785392   7.27514272  -4.0475331  11.0099551  -7.17286935   6.89186901
## 151  -8.36785392   7.27514272  -4.0475331  11.0099551  -7.17286935   6.89186901
## 152  -8.36785392   7.27514272  -4.0475331  11.0099551  -7.17286935   6.89186901
## 153  -1.81620096   0.40165678  -9.6757677   0.8505115  -2.32794156  -2.71663355
## 154  -1.81620096   0.40165678  -9.6757677   0.8505115  -2.32794156  -2.71663355
## 155  -1.81620096   0.40165678  -9.6757677   0.8505115  -2.32794156  -2.71663355
## 156  -1.81620096   0.40165678  -9.6757677   0.8505115  -2.32794156  -2.71663355
## 157  -1.81620096   0.40165678  -9.6757677   0.8505115  -2.32794156  -2.71663355
## 158  -1.81620096   0.40165678  -9.6757677   0.8505115  -2.32794156  -2.71663355
## 159  -1.81620096   0.40165678  -9.6757677   0.8505115  -2.32794156  -2.71663355
## 160  -1.81620096   0.40165678  -9.6757677   0.8505115  -2.32794156  -2.71663355
## 161  -3.71353348   0.27680587   2.1324280  -0.5225462   0.12028836   3.14622057
## 162  -3.71353348   0.27680587   2.1324280  -0.5225462   0.12028836   3.14622057
## 163  -3.71353348   0.27680587   2.1324280  -0.5225462   0.12028836   3.14622057
## 164  -3.71353348   0.27680587   2.1324280  -0.5225462   0.12028836   3.14622057
## 165  -3.71353348   0.27680587   2.1324280  -0.5225462   0.12028836   3.14622057
## 166  -3.71353348   0.27680587   2.1324280  -0.5225462   0.12028836   3.14622057
## 167  -3.71353348   0.27680587   2.1324280  -0.5225462   0.12028836   3.14622057
## 168  -3.71353348   0.27680587   2.1324280  -0.5225462   0.12028836   3.14622057
## 169   1.33319644   0.61360573   0.4555107   3.1463313   0.84949998  -1.70807378
## 170   1.33319644   0.61360573   0.4555107   3.1463313   0.84949998  -1.70807378
## 171   1.33319644   0.61360573   0.4555107   3.1463313   0.84949998  -1.70807378
## 172   1.33319644   0.61360573   0.4555107   3.1463313   0.84949998  -1.70807378
## 173   1.33319644   0.61360573   0.4555107   3.1463313   0.84949998  -1.70807378
## 174   1.33319644   0.61360573   0.4555107   3.1463313   0.84949998  -1.70807378
## 175   1.33319644   0.61360573   0.4555107   3.1463313   0.84949998  -1.70807378
## 176   1.33319644   0.61360573   0.4555107   3.1463313   0.84949998  -1.70807378
## 177 -11.21439623   5.03638983  -0.8174671   0.4137547   1.98214961  -0.50719329
## 178 -11.21439623   5.03638983  -0.8174671   0.4137547   1.98214961  -0.50719329
## 179 -11.21439623   5.03638983  -0.8174671   0.4137547   1.98214961  -0.50719329
## 180 -11.21439623   5.03638983  -0.8174671   0.4137547   1.98214961  -0.50719329
## 181 -11.21439623   5.03638983  -0.8174671   0.4137547   1.98214961  -0.50719329
## 182 -11.21439623   5.03638983  -0.8174671   0.4137547   1.98214961  -0.50719329
## 183 -11.21439623   5.03638983  -0.8174671   0.4137547   1.98214961  -0.50719329
## 184 -11.21439623   5.03638983  -0.8174671   0.4137547   1.98214961  -0.50719329
## 185   4.49642199  -2.53470134  -7.6592201   5.5168048   2.14905434  -1.41599867
## 186   4.49642199  -2.53470134  -7.6592201   5.5168048   2.14905434  -1.41599867
## 187   4.49642199  -2.53470134  -7.6592201   5.5168048   2.14905434  -1.41599867
## 188   4.49642199  -2.53470134  -7.6592201   5.5168048   2.14905434  -1.41599867
## 189   4.49642199  -2.53470134  -7.6592201   5.5168048   2.14905434  -1.41599867
## 190   4.49642199  -2.53470134  -7.6592201   5.5168048   2.14905434  -1.41599867
## 191   4.49642199  -2.53470134  -7.6592201   5.5168048   2.14905434  -1.41599867
## 192   4.49642199  -2.53470134  -7.6592201   5.5168048   2.14905434  -1.41599867
## 193 -13.47406649  -4.67332303 -11.3328491  -3.7644914 -15.59172297 -28.77408467
## 194 -13.47406649  -4.67332303 -11.3328491  -3.7644914 -15.59172297 -28.77408467
## 195 -13.47406649  -4.67332303 -11.3328491  -3.7644914 -15.59172297 -28.77408467
## 196 -13.47406649  -4.67332303 -11.3328491  -3.7644914 -15.59172297 -28.77408467
## 197 -13.47406649  -4.67332303 -11.3328491  -3.7644914 -15.59172297 -28.77408467
## 198 -13.47406649  -4.67332303 -11.3328491  -3.7644914 -15.59172297 -28.77408467
## 199 -13.47406649  -4.67332303 -11.3328491  -3.7644914 -15.59172297 -28.77408467
## 200 -13.47406649  -4.67332303 -11.3328491  -3.7644914 -15.59172297 -28.77408467
## 201  20.24356750  16.26184763  10.0418433  -7.8944790   0.09037259   3.65426195
## 202  20.24356750  16.26184763  10.0418433  -7.8944790   0.09037259   3.65426195
## 203  20.24356750  16.26184763  10.0418433  -7.8944790   0.09037259   3.65426195
## 204  20.24356750  16.26184763  10.0418433  -7.8944790   0.09037259   3.65426195
## 205  20.24356750  16.26184763  10.0418433  -7.8944790   0.09037259   3.65426195
## 206  20.24356750  16.26184763  10.0418433  -7.8944790   0.09037259   3.65426195
## 207  20.24356750  16.26184763  10.0418433  -7.8944790   0.09037259   3.65426195
## 208  20.24356750  16.26184763  10.0418433  -7.8944790   0.09037259   3.65426195
## 209  -2.57857461   2.43817405   6.7433531   0.5448607   0.73402747  -0.39664835
## 210  -2.57857461   2.43817405   6.7433531   0.5448607   0.73402747  -0.39664835
## 211  -2.57857461   2.43817405   6.7433531   0.5448607   0.73402747  -0.39664835
## 212  -2.57857461   2.43817405   6.7433531   0.5448607   0.73402747  -0.39664835
## 213  -2.57857461   2.43817405   6.7433531   0.5448607   0.73402747  -0.39664835
## 214  -2.57857461   2.43817405   6.7433531   0.5448607   0.73402747  -0.39664835
## 215  -2.57857461   2.43817405   6.7433531   0.5448607   0.73402747  -0.39664835
## 216  -2.57857461   2.43817405   6.7433531   0.5448607   0.73402747  -0.39664835
## 217   4.43830164   0.06677064   1.1425880  -1.1148504   3.72273554  -1.26822165
## 218   4.43830164   0.06677064   1.1425880  -1.1148504   3.72273554  -1.26822165
## 219   4.43830164   0.06677064   1.1425880  -1.1148504   3.72273554  -1.26822165
## 220   4.43830164   0.06677064   1.1425880  -1.1148504   3.72273554  -1.26822165
## 221   4.43830164   0.06677064   1.1425880  -1.1148504   3.72273554  -1.26822165
## 222   4.43830164   0.06677064   1.1425880  -1.1148504   3.72273554  -1.26822165
## 223   4.43830164   0.06677064   1.1425880  -1.1148504   3.72273554  -1.26822165
## 224   4.43830164   0.06677064   1.1425880  -1.1148504   3.72273554  -1.26822165
## 225   0.18788915   1.48212127   2.9984645  -1.6163501  -2.60754865   4.09762678
## 226   0.18788915   1.48212127   2.9984645  -1.6163501  -2.60754865   4.09762678
## 227   0.18788915   1.48212127   2.9984645  -1.6163501  -2.60754865   4.09762678
## 228   0.18788915   1.48212127   2.9984645  -1.6163501  -2.60754865   4.09762678
## 229   0.18788915   1.48212127   2.9984645  -1.6163501  -2.60754865   4.09762678
## 230   0.18788915   1.48212127   2.9984645  -1.6163501  -2.60754865   4.09762678
## 231   0.18788915   1.48212127   2.9984645  -1.6163501  -2.60754865   4.09762678
## 232   0.18788915   1.48212127   2.9984645  -1.6163501  -2.60754865   4.09762678
## 233  34.84594305 -12.26041203  -8.0147154  26.1551887 -16.44674562  23.58075914
## 234  34.84594305 -12.26041203  -8.0147154  26.1551887 -16.44674562  23.58075914
## 235  34.84594305 -12.26041203  -8.0147154  26.1551887 -16.44674562  23.58075914
## 236  34.84594305 -12.26041203  -8.0147154  26.1551887 -16.44674562  23.58075914
## 237  34.84594305 -12.26041203  -8.0147154  26.1551887 -16.44674562  23.58075914
## 238  34.84594305 -12.26041203  -8.0147154  26.1551887 -16.44674562  23.58075914
## 239  34.84594305 -12.26041203  -8.0147154  26.1551887 -16.44674562  23.58075914
## 240  34.84594305 -12.26041203  -8.0147154  26.1551887 -16.44674562  23.58075914
## 241  -7.29161781   1.48025857   5.6805993  18.7506682  -7.74631449  -7.66277226
## 242  -7.29161781   1.48025857   5.6805993  18.7506682  -7.74631449  -7.66277226
## 243  -7.29161781   1.48025857   5.6805993  18.7506682  -7.74631449  -7.66277226
## 244  -7.29161781   1.48025857   5.6805993  18.7506682  -7.74631449  -7.66277226
## 245  -7.29161781   1.48025857   5.6805993  18.7506682  -7.74631449  -7.66277226
## 246  -7.29161781   1.48025857   5.6805993  18.7506682  -7.74631449  -7.66277226
## 247  -7.29161781   1.48025857   5.6805993  18.7506682  -7.74631449  -7.66277226
## 248  -7.29161781   1.48025857   5.6805993  18.7506682  -7.74631449  -7.66277226
## 249  -8.89341805 -10.66569656   7.9089167   3.3712594  -4.94245296   5.59548763
## 250  -8.89341805 -10.66569656   7.9089167   3.3712594  -4.94245296   5.59548763
## 251  -8.89341805 -10.66569656   7.9089167   3.3712594  -4.94245296   5.59548763
## 252  -8.89341805 -10.66569656   7.9089167   3.3712594  -4.94245296   5.59548763
## 253  -8.89341805 -10.66569656   7.9089167   3.3712594  -4.94245296   5.59548763
## 254  -8.89341805 -10.66569656   7.9089167   3.3712594  -4.94245296   5.59548763
## 255  -8.89341805 -10.66569656   7.9089167   3.3712594  -4.94245296   5.59548763
## 256  -8.89341805 -10.66569656   7.9089167   3.3712594  -4.94245296   5.59548763
## 257  -8.72430498  -3.53036943  -2.5871307  -3.6983543  -1.88746780  -2.43593142
## 258  -8.72430498  -3.53036943  -2.5871307  -3.6983543  -1.88746780  -2.43593142
## 259  -8.72430498  -3.53036943  -2.5871307  -3.6983543  -1.88746780  -2.43593142
## 260  -8.72430498  -3.53036943  -2.5871307  -3.6983543  -1.88746780  -2.43593142
## 261  -8.72430498  -3.53036943  -2.5871307  -3.6983543  -1.88746780  -2.43593142
## 262  -8.72430498  -3.53036943  -2.5871307  -3.6983543  -1.88746780  -2.43593142
## 263  -8.72430498  -3.53036943  -2.5871307  -3.6983543  -1.88746780  -2.43593142
## 264  -8.72430498  -3.53036943  -2.5871307  -3.6983543  -1.88746780  -2.43593142
## 265  -2.18750932   0.40530442  13.9171059  19.3174578  -8.34846061  12.36203947
## 266  -2.18750932   0.40530442  13.9171059  19.3174578  -8.34846061  12.36203947
## 267  -2.18750932   0.40530442  13.9171059  19.3174578  -8.34846061  12.36203947
## 268  -2.18750932   0.40530442  13.9171059  19.3174578  -8.34846061  12.36203947
## 269  -2.18750932   0.40530442  13.9171059  19.3174578  -8.34846061  12.36203947
## 270  -2.18750932   0.40530442  13.9171059  19.3174578  -8.34846061  12.36203947
## 271  -2.18750932   0.40530442  13.9171059  19.3174578  -8.34846061  12.36203947
## 272  -2.18750932   0.40530442  13.9171059  19.3174578  -8.34846061  12.36203947
## 273  32.18072192   4.24298877   1.1292724 -25.4969095  -9.57637912   9.34209225
## 274  32.18072192   4.24298877   1.1292724 -25.4969095  -9.57637912   9.34209225
## 275  32.18072192   4.24298877   1.1292724 -25.4969095  -9.57637912   9.34209225
## 276  32.18072192   4.24298877   1.1292724 -25.4969095  -9.57637912   9.34209225
## 277  32.18072192   4.24298877   1.1292724 -25.4969095  -9.57637912   9.34209225
## 278  32.18072192   4.24298877   1.1292724 -25.4969095  -9.57637912   9.34209225
## 279  32.18072192   4.24298877   1.1292724 -25.4969095  -9.57637912   9.34209225
## 280  32.18072192   4.24298877   1.1292724 -25.4969095  -9.57637912   9.34209225
## 281  48.36251309   8.16308287  -8.6318938  58.9150528  51.62378370 -16.80570697
## 282  48.36251309   8.16308287  -8.6318938  58.9150528  51.62378370 -16.80570697
## 283  48.36251309   8.16308287  -8.6318938  58.9150528  51.62378370 -16.80570697
## 284  48.36251309   8.16308287  -8.6318938  58.9150528  51.62378370 -16.80570697
## 285  48.36251309   8.16308287  -8.6318938  58.9150528  51.62378370 -16.80570697
## 286  48.36251309   8.16308287  -8.6318938  58.9150528  51.62378370 -16.80570697
## 287  48.36251309   8.16308287  -8.6318938  58.9150528  51.62378370 -16.80570697
## 288  48.36251309   8.16308287  -8.6318938  58.9150528  51.62378370 -16.80570697
## 289   3.09860161  -1.17878561  10.0855686 -11.2511567   0.99139882   1.11587316
## 290   3.09860161  -1.17878561  10.0855686 -11.2511567   0.99139882   1.11587316
## 291   3.09860161  -1.17878561  10.0855686 -11.2511567   0.99139882   1.11587316
## 292   3.09860161  -1.17878561  10.0855686 -11.2511567   0.99139882   1.11587316
## 293   3.09860161  -1.17878561  10.0855686 -11.2511567   0.99139882   1.11587316
## 294   3.09860161  -1.17878561  10.0855686 -11.2511567   0.99139882   1.11587316
## 295   3.09860161  -1.17878561  10.0855686 -11.2511567   0.99139882   1.11587316
## 296   3.09860161  -1.17878561  10.0855686 -11.2511567   0.99139882   1.11587316
## 297   2.88475430   4.17071795   3.3548605  -3.6756537  -4.24531824   2.74455729
## 298   2.88475430   4.17071795   3.3548605  -3.6756537  -4.24531824   2.74455729
## 299   2.88475430   4.17071795   3.3548605  -3.6756537  -4.24531824   2.74455729
## 300   2.88475430   4.17071795   3.3548605  -3.6756537  -4.24531824   2.74455729
## 301   2.88475430   4.17071795   3.3548605  -3.6756537  -4.24531824   2.74455729
## 302   2.88475430   4.17071795   3.3548605  -3.6756537  -4.24531824   2.74455729
## 303   2.88475430   4.17071795   3.3548605  -3.6756537  -4.24531824   2.74455729
## 304   2.88475430   4.17071795   3.3548605  -3.6756537  -4.24531824   2.74455729
## 305  -3.72162589   6.33793809   1.2087105   1.5803658  -4.64774028   1.93399950
## 306  -3.72162589   6.33793809   1.2087105   1.5803658  -4.64774028   1.93399950
## 307  -3.72162589   6.33793809   1.2087105   1.5803658  -4.64774028   1.93399950
## 308  -3.72162589   6.33793809   1.2087105   1.5803658  -4.64774028   1.93399950
## 309  -3.72162589   6.33793809   1.2087105   1.5803658  -4.64774028   1.93399950
## 310  -3.72162589   6.33793809   1.2087105   1.5803658  -4.64774028   1.93399950
## 311  -3.72162589   6.33793809   1.2087105   1.5803658  -4.64774028   1.93399950
## 312  -3.72162589   6.33793809   1.2087105   1.5803658  -4.64774028   1.93399950
## 313 -34.73516239  -7.99839772   7.1288923  31.6211579 -41.94389439   8.03717283
## 314 -34.73516239  -7.99839772   7.1288923  31.6211579 -41.94389439   8.03717283
## 315 -34.73516239  -7.99839772   7.1288923  31.6211579 -41.94389439   8.03717283
## 316 -34.73516239  -7.99839772   7.1288923  31.6211579 -41.94389439   8.03717283
## 317 -34.73516239  -7.99839772   7.1288923  31.6211579 -41.94389439   8.03717283
## 318 -34.73516239  -7.99839772   7.1288923  31.6211579 -41.94389439   8.03717283
## 319 -34.73516239  -7.99839772   7.1288923  31.6211579 -41.94389439   8.03717283
## 320 -34.73516239  -7.99839772   7.1288923  31.6211579 -41.94389439   8.03717283
## 321  43.86689820   1.88059422  37.3046630 -49.5640542  10.52173773   8.25650468
## 322  43.86689820   1.88059422  37.3046630 -49.5640542  10.52173773   8.25650468
## 323  43.86689820   1.88059422  37.3046630 -49.5640542  10.52173773   8.25650468
## 324  43.86689820   1.88059422  37.3046630 -49.5640542  10.52173773   8.25650468
## 325  43.86689820   1.88059422  37.3046630 -49.5640542  10.52173773   8.25650468
## 326  43.86689820   1.88059422  37.3046630 -49.5640542  10.52173773   8.25650468
## 327  43.86689820   1.88059422  37.3046630 -49.5640542  10.52173773   8.25650468
## 328  43.86689820   1.88059422  37.3046630 -49.5640542  10.52173773   8.25650468
## 329  -5.51584375   0.41337138  -2.2797589 -11.9444079   2.16111625  -1.67313781
## 330  -5.51584375   0.41337138  -2.2797589 -11.9444079   2.16111625  -1.67313781
## 331  -5.51584375   0.41337138  -2.2797589 -11.9444079   2.16111625  -1.67313781
## 332  -5.51584375   0.41337138  -2.2797589 -11.9444079   2.16111625  -1.67313781
## 333  -5.51584375   0.41337138  -2.2797589 -11.9444079   2.16111625  -1.67313781
## 334  -5.51584375   0.41337138  -2.2797589 -11.9444079   2.16111625  -1.67313781
## 335  -5.51584375   0.41337138  -2.2797589 -11.9444079   2.16111625  -1.67313781
## 336  -5.51584375   0.41337138  -2.2797589 -11.9444079   2.16111625  -1.67313781
## 337  23.62378763 -19.09356480  -6.5965092  -4.0579635  41.87578895   9.20648144
## 338  23.62378763 -19.09356480  -6.5965092  -4.0579635  41.87578895   9.20648144
## 339  23.62378763 -19.09356480  -6.5965092  -4.0579635  41.87578895   9.20648144
## 340  23.62378763 -19.09356480  -6.5965092  -4.0579635  41.87578895   9.20648144
## 341  23.62378763 -19.09356480  -6.5965092  -4.0579635  41.87578895   9.20648144
## 342  23.62378763 -19.09356480  -6.5965092  -4.0579635  41.87578895   9.20648144
## 343  23.62378763 -19.09356480  -6.5965092  -4.0579635  41.87578895   9.20648144
## 344  23.62378763 -19.09356480  -6.5965092  -4.0579635  41.87578895   9.20648144
## 345 -11.66294394 -12.66849479  -5.1262120 -21.1075229  16.54716734  22.62829252
## 346 -11.66294394 -12.66849479  -5.1262120 -21.1075229  16.54716734  22.62829252
## 347 -11.66294394 -12.66849479  -5.1262120 -21.1075229  16.54716734  22.62829252
## 348 -11.66294394 -12.66849479  -5.1262120 -21.1075229  16.54716734  22.62829252
## 349 -11.66294394 -12.66849479  -5.1262120 -21.1075229  16.54716734  22.62829252
## 350 -11.66294394 -12.66849479  -5.1262120 -21.1075229  16.54716734  22.62829252
## 351 -11.66294394 -12.66849479  -5.1262120 -21.1075229  16.54716734  22.62829252
## 352 -11.66294394 -12.66849479  -5.1262120 -21.1075229  16.54716734  22.62829252
## 353   0.52083477   2.24734167   2.3877101  -4.4206472   5.23925633  -7.14963380
## 354   0.52083477   2.24734167   2.3877101  -4.4206472   5.23925633  -7.14963380
## 355   0.52083477   2.24734167   2.3877101  -4.4206472   5.23925633  -7.14963380
## 356   0.52083477   2.24734167   2.3877101  -4.4206472   5.23925633  -7.14963380
## 357   0.52083477   2.24734167   2.3877101  -4.4206472   5.23925633  -7.14963380
## 358   0.52083477   2.24734167   2.3877101  -4.4206472   5.23925633  -7.14963380
## 359   0.52083477   2.24734167   2.3877101  -4.4206472   5.23925633  -7.14963380
## 360   0.52083477   2.24734167   2.3877101  -4.4206472   5.23925633  -7.14963380
## 361   4.27579941  -4.28783735  -6.6273008  -7.7783782   9.41137311   0.12551691
## 362   4.27579941  -4.28783735  -6.6273008  -7.7783782   9.41137311   0.12551691
## 363   4.27579941  -4.28783735  -6.6273008  -7.7783782   9.41137311   0.12551691
## 364   4.27579941  -4.28783735  -6.6273008  -7.7783782   9.41137311   0.12551691
## 365   4.27579941  -4.28783735  -6.6273008  -7.7783782   9.41137311   0.12551691
## 366   4.27579941  -4.28783735  -6.6273008  -7.7783782   9.41137311   0.12551691
## 367   4.27579941  -4.28783735  -6.6273008  -7.7783782   9.41137311   0.12551691
## 368   4.27579941  -4.28783735  -6.6273008  -7.7783782   9.41137311   0.12551691
## 369  -9.36984068   7.72447057  -5.3040622   0.3610367  -1.92069684   9.18733036
## 370  -9.36984068   7.72447057  -5.3040622   0.3610367  -1.92069684   9.18733036
## 371  -9.36984068   7.72447057  -5.3040622   0.3610367  -1.92069684   9.18733036
## 372  -9.36984068   7.72447057  -5.3040622   0.3610367  -1.92069684   9.18733036
## 373  -9.36984068   7.72447057  -5.3040622   0.3610367  -1.92069684   9.18733036
## 374  -9.36984068   7.72447057  -5.3040622   0.3610367  -1.92069684   9.18733036
## 375  -9.36984068   7.72447057  -5.3040622   0.3610367  -1.92069684   9.18733036
## 376  -9.36984068   7.72447057  -5.3040622   0.3610367  -1.92069684   9.18733036
## 377   0.10993913   1.54690194  10.4184441  -4.7746056  -4.52765904   9.58092319
## 378   0.10993913   1.54690194  10.4184441  -4.7746056  -4.52765904   9.58092319
## 379   0.10993913   1.54690194  10.4184441  -4.7746056  -4.52765904   9.58092319
## 380   0.10993913   1.54690194  10.4184441  -4.7746056  -4.52765904   9.58092319
## 381   0.10993913   1.54690194  10.4184441  -4.7746056  -4.52765904   9.58092319
## 382   0.10993913   1.54690194  10.4184441  -4.7746056  -4.52765904   9.58092319
## 383   0.10993913   1.54690194  10.4184441  -4.7746056  -4.52765904   9.58092319
## 384   0.10993913   1.54690194  10.4184441  -4.7746056  -4.52765904   9.58092319
## 385  -1.78622468   5.46183537   3.3431702   1.4540549  -4.24333244   4.16141101
## 386  -1.78622468   5.46183537   3.3431702   1.4540549  -4.24333244   4.16141101
## 387  -1.78622468   5.46183537   3.3431702   1.4540549  -4.24333244   4.16141101
## 388  -1.78622468   5.46183537   3.3431702   1.4540549  -4.24333244   4.16141101
## 389  -1.78622468   5.46183537   3.3431702   1.4540549  -4.24333244   4.16141101
## 390  -1.78622468   5.46183537   3.3431702   1.4540549  -4.24333244   4.16141101
## 391  -1.78622468   5.46183537   3.3431702   1.4540549  -4.24333244   4.16141101
## 392  -1.78622468   5.46183537   3.3431702   1.4540549  -4.24333244   4.16141101
## 393  -2.36152332   2.07317577   1.3982937   2.2322529  -2.60891325  -2.42853082
## 394  -2.36152332   2.07317577   1.3982937   2.2322529  -2.60891325  -2.42853082
## 395  -2.36152332   2.07317577   1.3982937   2.2322529  -2.60891325  -2.42853082
## 396  -2.36152332   2.07317577   1.3982937   2.2322529  -2.60891325  -2.42853082
## 397  -2.36152332   2.07317577   1.3982937   2.2322529  -2.60891325  -2.42853082
## 398  -2.36152332   2.07317577   1.3982937   2.2322529  -2.60891325  -2.42853082
## 399  -2.36152332   2.07317577   1.3982937   2.2322529  -2.60891325  -2.42853082
## 400  -2.36152332   2.07317577   1.3982937   2.2322529  -2.60891325  -2.42853082
## 401 -19.32880083  -3.14092363  27.1954654  45.0191819   1.24531482 -59.96680106
## 402 -19.32880083  -3.14092363  27.1954654  45.0191819   1.24531482 -59.96680106
## 403 -19.32880083  -3.14092363  27.1954654  45.0191819   1.24531482 -59.96680106
## 404 -19.32880083  -3.14092363  27.1954654  45.0191819   1.24531482 -59.96680106
## 405 -19.32880083  -3.14092363  27.1954654  45.0191819   1.24531482 -59.96680106
## 406 -19.32880083  -3.14092363  27.1954654  45.0191819   1.24531482 -59.96680106
## 407 -19.32880083  -3.14092363  27.1954654  45.0191819   1.24531482 -59.96680106
## 408 -19.32880083  -3.14092363  27.1954654  45.0191819   1.24531482 -59.96680106
## 409 -12.98541115  12.36508490  -4.9473120  29.3834539   7.06828054   8.80392882
## 410 -12.98541115  12.36508490  -4.9473120  29.3834539   7.06828054   8.80392882
## 411 -12.98541115  12.36508490  -4.9473120  29.3834539   7.06828054   8.80392882
## 412 -12.98541115  12.36508490  -4.9473120  29.3834539   7.06828054   8.80392882
## 413 -12.98541115  12.36508490  -4.9473120  29.3834539   7.06828054   8.80392882
## 414 -12.98541115  12.36508490  -4.9473120  29.3834539   7.06828054   8.80392882
## 415 -12.98541115  12.36508490  -4.9473120  29.3834539   7.06828054   8.80392882
## 416 -12.98541115  12.36508490  -4.9473120  29.3834539   7.06828054   8.80392882
## 417   2.09780630   4.13554406   0.6491224   4.7541377   5.16652990   0.26274746
## 418   2.09780630   4.13554406   0.6491224   4.7541377   5.16652990   0.26274746
## 419   2.09780630   4.13554406   0.6491224   4.7541377   5.16652990   0.26274746
## 420   2.09780630   4.13554406   0.6491224   4.7541377   5.16652990   0.26274746
## 421   2.09780630   4.13554406   0.6491224   4.7541377   5.16652990   0.26274746
## 422   2.09780630   4.13554406   0.6491224   4.7541377   5.16652990   0.26274746
## 423   2.09780630   4.13554406   0.6491224   4.7541377   5.16652990   0.26274746
## 424   2.09780630   4.13554406   0.6491224   4.7541377   5.16652990   0.26274746
## 425   3.43273053  19.52593383 -17.8951998 -22.7677874  20.85565482 -77.05979282
## 426   3.43273053  19.52593383 -17.8951998 -22.7677874  20.85565482 -77.05979282
## 427   3.43273053  19.52593383 -17.8951998 -22.7677874  20.85565482 -77.05979282
## 428   3.43273053  19.52593383 -17.8951998 -22.7677874  20.85565482 -77.05979282
## 429   3.43273053  19.52593383 -17.8951998 -22.7677874  20.85565482 -77.05979282
## 430   3.43273053  19.52593383 -17.8951998 -22.7677874  20.85565482 -77.05979282
## 431   3.43273053  19.52593383 -17.8951998 -22.7677874  20.85565482 -77.05979282
## 432   3.43273053  19.52593383 -17.8951998 -22.7677874  20.85565482 -77.05979282
## 433  -7.29474698   8.64389089  -9.7127864   4.7052447   3.76341903   0.18077034
## 434  -7.29474698   8.64389089  -9.7127864   4.7052447   3.76341903   0.18077034
## 435  -7.29474698   8.64389089  -9.7127864   4.7052447   3.76341903   0.18077034
## 436  -7.29474698   8.64389089  -9.7127864   4.7052447   3.76341903   0.18077034
## 437  -7.29474698   8.64389089  -9.7127864   4.7052447   3.76341903   0.18077034
## 438  -7.29474698   8.64389089  -9.7127864   4.7052447   3.76341903   0.18077034
## 439  -7.29474698   8.64389089  -9.7127864   4.7052447   3.76341903   0.18077034
## 440  -7.29474698   8.64389089  -9.7127864   4.7052447   3.76341903   0.18077034
## 441   1.20438395  -3.99137800   1.1840499   3.8002325  -2.13730447   7.79922632
## 442   1.20438395  -3.99137800   1.1840499   3.8002325  -2.13730447   7.79922632
## 443   1.20438395  -3.99137800   1.1840499   3.8002325  -2.13730447   7.79922632
## 444   1.20438395  -3.99137800   1.1840499   3.8002325  -2.13730447   7.79922632
## 445   1.20438395  -3.99137800   1.1840499   3.8002325  -2.13730447   7.79922632
## 446   1.20438395  -3.99137800   1.1840499   3.8002325  -2.13730447   7.79922632
## 447   1.20438395  -3.99137800   1.1840499   3.8002325  -2.13730447   7.79922632
## 448   1.20438395  -3.99137800   1.1840499   3.8002325  -2.13730447   7.79922632
## 449   6.60097392   8.11580002   3.9312709   4.6532590   5.83620990   1.64322411
## 450   6.60097392   8.11580002   3.9312709   4.6532590   5.83620990   1.64322411
## 451   6.60097392   8.11580002   3.9312709   4.6532590   5.83620990   1.64322411
## 452   6.60097392   8.11580002   3.9312709   4.6532590   5.83620990   1.64322411
## 453   6.60097392   8.11580002   3.9312709   4.6532590   5.83620990   1.64322411
## 454   6.60097392   8.11580002   3.9312709   4.6532590   5.83620990   1.64322411
## 455   6.60097392   8.11580002   3.9312709   4.6532590   5.83620990   1.64322411
## 456   6.60097392   8.11580002   3.9312709   4.6532590   5.83620990   1.64322411
## 457  -2.80666566  11.53620923 -10.7868636  -2.2694740  16.24323427   2.94628542
## 458  -2.80666566  11.53620923 -10.7868636  -2.2694740  16.24323427   2.94628542
## 459  -2.80666566  11.53620923 -10.7868636  -2.2694740  16.24323427   2.94628542
## 460  -2.80666566  11.53620923 -10.7868636  -2.2694740  16.24323427   2.94628542
## 461  -2.80666566  11.53620923 -10.7868636  -2.2694740  16.24323427   2.94628542
## 462  -2.80666566  11.53620923 -10.7868636  -2.2694740  16.24323427   2.94628542
## 463  -2.80666566  11.53620923 -10.7868636  -2.2694740  16.24323427   2.94628542
## 464  -2.80666566  11.53620923 -10.7868636  -2.2694740  16.24323427   2.94628542
## 465  -4.09863013  -0.77003531   2.1104900 -11.7213314   4.98838015  26.13928548
## 466  -4.09863013  -0.77003531   2.1104900 -11.7213314   4.98838015  26.13928548
## 467  -4.09863013  -0.77003531   2.1104900 -11.7213314   4.98838015  26.13928548
## 468  -4.09863013  -0.77003531   2.1104900 -11.7213314   4.98838015  26.13928548
## 469  -4.09863013  -0.77003531   2.1104900 -11.7213314   4.98838015  26.13928548
## 470  -4.09863013  -0.77003531   2.1104900 -11.7213314   4.98838015  26.13928548
## 471  -4.09863013  -0.77003531   2.1104900 -11.7213314   4.98838015  26.13928548
## 472  -4.09863013  -0.77003531   2.1104900 -11.7213314   4.98838015  26.13928548
## 473   0.39435931 -17.86835734  -0.5255563  -6.9590603 -18.40119360   3.93460087
## 474   0.39435931 -17.86835734  -0.5255563  -6.9590603 -18.40119360   3.93460087
## 475   0.39435931 -17.86835734  -0.5255563  -6.9590603 -18.40119360   3.93460087
## 476   0.39435931 -17.86835734  -0.5255563  -6.9590603 -18.40119360   3.93460087
## 477   0.39435931 -17.86835734  -0.5255563  -6.9590603 -18.40119360   3.93460087
## 478   0.39435931 -17.86835734  -0.5255563  -6.9590603 -18.40119360   3.93460087
## 479   0.39435931 -17.86835734  -0.5255563  -6.9590603 -18.40119360   3.93460087
## 480   0.39435931 -17.86835734  -0.5255563  -6.9590603 -18.40119360   3.93460087
## 481   3.75308780  13.20779630   8.3652312   6.4696130  -3.39343533  -0.34715969
## 482   3.75308780  13.20779630   8.3652312   6.4696130  -3.39343533  -0.34715969
## 483   3.75308780  13.20779630   8.3652312   6.4696130  -3.39343533  -0.34715969
## 484   3.75308780  13.20779630   8.3652312   6.4696130  -3.39343533  -0.34715969
## 485   3.75308780  13.20779630   8.3652312   6.4696130  -3.39343533  -0.34715969
## 486   3.75308780  13.20779630   8.3652312   6.4696130  -3.39343533  -0.34715969
## 487   3.75308780  13.20779630   8.3652312   6.4696130  -3.39343533  -0.34715969
## 488   3.75308780  13.20779630   8.3652312   6.4696130  -3.39343533  -0.34715969
## 489  -4.20537005  -3.77705283  -4.9459837  -1.8506819   2.39669878  -1.91398190
## 490  -4.20537005  -3.77705283  -4.9459837  -1.8506819   2.39669878  -1.91398190
## 491  -4.20537005  -3.77705283  -4.9459837  -1.8506819   2.39669878  -1.91398190
## 492  -4.20537005  -3.77705283  -4.9459837  -1.8506819   2.39669878  -1.91398190
## 493  -4.20537005  -3.77705283  -4.9459837  -1.8506819   2.39669878  -1.91398190
## 494  -4.20537005  -3.77705283  -4.9459837  -1.8506819   2.39669878  -1.91398190
## 495  -4.20537005  -3.77705283  -4.9459837  -1.8506819   2.39669878  -1.91398190
## 496  -4.20537005  -3.77705283  -4.9459837  -1.8506819   2.39669878  -1.91398190
## 497  -4.88358007  -1.23846374   1.8639014  -4.1731798  -0.86569713  -0.73627792
## 498  -4.88358007  -1.23846374   1.8639014  -4.1731798  -0.86569713  -0.73627792
## 499  -4.88358007  -1.23846374   1.8639014  -4.1731798  -0.86569713  -0.73627792
## 500  -4.88358007  -1.23846374   1.8639014  -4.1731798  -0.86569713  -0.73627792
## 501  -4.88358007  -1.23846374   1.8639014  -4.1731798  -0.86569713  -0.73627792
## 502  -4.88358007  -1.23846374   1.8639014  -4.1731798  -0.86569713  -0.73627792
## 503  -4.88358007  -1.23846374   1.8639014  -4.1731798  -0.86569713  -0.73627792
## 504  -4.88358007  -1.23846374   1.8639014  -4.1731798  -0.86569713  -0.73627792
## 505   7.64550103  -5.30683892   3.4250234   4.1079470   3.44446551  -6.86691407
## 506   7.64550103  -5.30683892   3.4250234   4.1079470   3.44446551  -6.86691407
## 507   7.64550103  -5.30683892   3.4250234   4.1079470   3.44446551  -6.86691407
## 508   7.64550103  -5.30683892   3.4250234   4.1079470   3.44446551  -6.86691407
## 509   7.64550103  -5.30683892   3.4250234   4.1079470   3.44446551  -6.86691407
## 510   7.64550103  -5.30683892   3.4250234   4.1079470   3.44446551  -6.86691407
## 511   7.64550103  -5.30683892   3.4250234   4.1079470   3.44446551  -6.86691407
## 512   7.64550103  -5.30683892   3.4250234   4.1079470   3.44446551  -6.86691407
## 513  18.54222830   0.44864596  64.7484804 -19.7060968   8.10361630 -30.79591057
## 514  18.54222830   0.44864596  64.7484804 -19.7060968   8.10361630 -30.79591057
## 515  18.54222830   0.44864596  64.7484804 -19.7060968   8.10361630 -30.79591057
## 516  18.54222830   0.44864596  64.7484804 -19.7060968   8.10361630 -30.79591057
## 517  18.54222830   0.44864596  64.7484804 -19.7060968   8.10361630 -30.79591057
## 518  18.54222830   0.44864596  64.7484804 -19.7060968   8.10361630 -30.79591057
## 519  18.54222830   0.44864596  64.7484804 -19.7060968   8.10361630 -30.79591057
## 520  18.54222830   0.44864596  64.7484804 -19.7060968   8.10361630 -30.79591057
## 521  16.85178773  -5.39095525  13.0065227  24.8410355  -7.78697638   7.80004805
## 522  16.85178773  -5.39095525  13.0065227  24.8410355  -7.78697638   7.80004805
## 523  16.85178773  -5.39095525  13.0065227  24.8410355  -7.78697638   7.80004805
## 524  16.85178773  -5.39095525  13.0065227  24.8410355  -7.78697638   7.80004805
## 525  16.85178773  -5.39095525  13.0065227  24.8410355  -7.78697638   7.80004805
## 526  16.85178773  -5.39095525  13.0065227  24.8410355  -7.78697638   7.80004805
## 527  16.85178773  -5.39095525  13.0065227  24.8410355  -7.78697638   7.80004805
## 528  16.85178773  -5.39095525  13.0065227  24.8410355  -7.78697638   7.80004805
## 529   0.55233069 -10.64702403  -3.6011349  -6.0875362 -24.97829493  -7.97075756
## 530   0.55233069 -10.64702403  -3.6011349  -6.0875362 -24.97829493  -7.97075756
## 531   0.55233069 -10.64702403  -3.6011349  -6.0875362 -24.97829493  -7.97075756
## 532   0.55233069 -10.64702403  -3.6011349  -6.0875362 -24.97829493  -7.97075756
## 533   0.55233069 -10.64702403  -3.6011349  -6.0875362 -24.97829493  -7.97075756
## 534   0.55233069 -10.64702403  -3.6011349  -6.0875362 -24.97829493  -7.97075756
## 535   0.55233069 -10.64702403  -3.6011349  -6.0875362 -24.97829493  -7.97075756
## 536   0.55233069 -10.64702403  -3.6011349  -6.0875362 -24.97829493  -7.97075756
## 537  -8.16509901  10.57993795  -8.3545506  -5.4680240   3.54404056  -7.05573164
## 538  -8.16509901  10.57993795  -8.3545506  -5.4680240   3.54404056  -7.05573164
## 539  -8.16509901  10.57993795  -8.3545506  -5.4680240   3.54404056  -7.05573164
## 540  -8.16509901  10.57993795  -8.3545506  -5.4680240   3.54404056  -7.05573164
## 541  -8.16509901  10.57993795  -8.3545506  -5.4680240   3.54404056  -7.05573164
## 542  -8.16509901  10.57993795  -8.3545506  -5.4680240   3.54404056  -7.05573164
## 543  -8.16509901  10.57993795  -8.3545506  -5.4680240   3.54404056  -7.05573164
## 544  -8.16509901  10.57993795  -8.3545506  -5.4680240   3.54404056  -7.05573164
## 545  -2.61620332   2.66472521  -1.4349714   4.5892663  -0.53192646  -2.98936112
## 546  -2.61620332   2.66472521  -1.4349714   4.5892663  -0.53192646  -2.98936112
## 547  -2.61620332   2.66472521  -1.4349714   4.5892663  -0.53192646  -2.98936112
## 548  -2.61620332   2.66472521  -1.4349714   4.5892663  -0.53192646  -2.98936112
## 549  -2.61620332   2.66472521  -1.4349714   4.5892663  -0.53192646  -2.98936112
## 550  -2.61620332   2.66472521  -1.4349714   4.5892663  -0.53192646  -2.98936112
## 551  -2.61620332   2.66472521  -1.4349714   4.5892663  -0.53192646  -2.98936112
## 552  -2.61620332   2.66472521  -1.4349714   4.5892663  -0.53192646  -2.98936112
## 553  -8.15611516  -9.06444768 -32.7275148   0.7625830  20.81216325  -5.43766206
## 554  -8.15611516  -9.06444768 -32.7275148   0.7625830  20.81216325  -5.43766206
## 555  -8.15611516  -9.06444768 -32.7275148   0.7625830  20.81216325  -5.43766206
## 556  -8.15611516  -9.06444768 -32.7275148   0.7625830  20.81216325  -5.43766206
## 557  -8.15611516  -9.06444768 -32.7275148   0.7625830  20.81216325  -5.43766206
## 558  -8.15611516  -9.06444768 -32.7275148   0.7625830  20.81216325  -5.43766206
## 559  -8.15611516  -9.06444768 -32.7275148   0.7625830  20.81216325  -5.43766206
## 560  -8.15611516  -9.06444768 -32.7275148   0.7625830  20.81216325  -5.43766206
## 561  -0.77731440   6.07021445   4.1349936  12.3881307  -3.09912445   6.59687200
## 562  -0.77731440   6.07021445   4.1349936  12.3881307  -3.09912445   6.59687200
## 563  -0.77731440   6.07021445   4.1349936  12.3881307  -3.09912445   6.59687200
## 564  -0.77731440   6.07021445   4.1349936  12.3881307  -3.09912445   6.59687200
## 565  -0.77731440   6.07021445   4.1349936  12.3881307  -3.09912445   6.59687200
## 566  -0.77731440   6.07021445   4.1349936  12.3881307  -3.09912445   6.59687200
## 567  -0.77731440   6.07021445   4.1349936  12.3881307  -3.09912445   6.59687200
## 568  -0.77731440   6.07021445   4.1349936  12.3881307  -3.09912445   6.59687200
## 569  -3.29463081   6.42873515   0.5095732  -0.3189333  -2.80909302   1.24677030
## 570  -3.29463081   6.42873515   0.5095732  -0.3189333  -2.80909302   1.24677030
## 571  -3.29463081   6.42873515   0.5095732  -0.3189333  -2.80909302   1.24677030
## 572  -3.29463081   6.42873515   0.5095732  -0.3189333  -2.80909302   1.24677030
## 573  -3.29463081   6.42873515   0.5095732  -0.3189333  -2.80909302   1.24677030
## 574  -3.29463081   6.42873515   0.5095732  -0.3189333  -2.80909302   1.24677030
## 575  -3.29463081   6.42873515   0.5095732  -0.3189333  -2.80909302   1.24677030
## 576  -3.29463081   6.42873515   0.5095732  -0.3189333  -2.80909302   1.24677030
## 577   0.16500549   0.05598154  -3.9541398  -6.7198549  -7.72666373   1.44159484
## 578   0.16500549   0.05598154  -3.9541398  -6.7198549  -7.72666373   1.44159484
## 579   0.16500549   0.05598154  -3.9541398  -6.7198549  -7.72666373   1.44159484
## 580   0.16500549   0.05598154  -3.9541398  -6.7198549  -7.72666373   1.44159484
## 581   0.16500549   0.05598154  -3.9541398  -6.7198549  -7.72666373   1.44159484
## 582   0.16500549   0.05598154  -3.9541398  -6.7198549  -7.72666373   1.44159484
## 583   0.16500549   0.05598154  -3.9541398  -6.7198549  -7.72666373   1.44159484
## 584   0.16500549   0.05598154  -3.9541398  -6.7198549  -7.72666373   1.44159484
## 585  -0.24508941  -7.60253147  -5.4552200   0.6172948   2.42126074   1.23003386
## 586  -0.24508941  -7.60253147  -5.4552200   0.6172948   2.42126074   1.23003386
## 587  -0.24508941  -7.60253147  -5.4552200   0.6172948   2.42126074   1.23003386
## 588  -0.24508941  -7.60253147  -5.4552200   0.6172948   2.42126074   1.23003386
## 589  -0.24508941  -7.60253147  -5.4552200   0.6172948   2.42126074   1.23003386
## 590  -0.24508941  -7.60253147  -5.4552200   0.6172948   2.42126074   1.23003386
## 591  -0.24508941  -7.60253147  -5.4552200   0.6172948   2.42126074   1.23003386
## 592  -0.24508941  -7.60253147  -5.4552200   0.6172948   2.42126074   1.23003386
## 593  -5.40586129  -4.78414633  -8.3090232   5.5454163   0.44154668  -1.07946106
## 594  -5.40586129  -4.78414633  -8.3090232   5.5454163   0.44154668  -1.07946106
## 595  -5.40586129  -4.78414633  -8.3090232   5.5454163   0.44154668  -1.07946106
## 596  -5.40586129  -4.78414633  -8.3090232   5.5454163   0.44154668  -1.07946106
## 597  -5.40586129  -4.78414633  -8.3090232   5.5454163   0.44154668  -1.07946106
## 598  -5.40586129  -4.78414633  -8.3090232   5.5454163   0.44154668  -1.07946106
## 599  -5.40586129  -4.78414633  -8.3090232   5.5454163   0.44154668  -1.07946106
## 600  -5.40586129  -4.78414633  -8.3090232   5.5454163   0.44154668  -1.07946106
## 601   2.24000814   6.09944525  -4.0421328  -3.0678907  -2.76622772   0.23142551
## 602   2.24000814   6.09944525  -4.0421328  -3.0678907  -2.76622772   0.23142551
## 603   2.24000814   6.09944525  -4.0421328  -3.0678907  -2.76622772   0.23142551
## 604   2.24000814   6.09944525  -4.0421328  -3.0678907  -2.76622772   0.23142551
## 605   2.24000814   6.09944525  -4.0421328  -3.0678907  -2.76622772   0.23142551
## 606   2.24000814   6.09944525  -4.0421328  -3.0678907  -2.76622772   0.23142551
## 607   2.24000814   6.09944525  -4.0421328  -3.0678907  -2.76622772   0.23142551
## 608   2.24000814   6.09944525  -4.0421328  -3.0678907  -2.76622772   0.23142551
## 609  -2.80216121   6.14228760  -2.3862130   0.9012980   2.20539186   1.23292122
## 610  -2.80216121   6.14228760  -2.3862130   0.9012980   2.20539186   1.23292122
## 611  -2.80216121   6.14228760  -2.3862130   0.9012980   2.20539186   1.23292122
## 612  -2.80216121   6.14228760  -2.3862130   0.9012980   2.20539186   1.23292122
## 613  -2.80216121   6.14228760  -2.3862130   0.9012980   2.20539186   1.23292122
## 614  -2.80216121   6.14228760  -2.3862130   0.9012980   2.20539186   1.23292122
## 615  -2.80216121   6.14228760  -2.3862130   0.9012980   2.20539186   1.23292122
## 616  -2.80216121   6.14228760  -2.3862130   0.9012980   2.20539186   1.23292122
## 617   8.70826695   6.29201516   3.3645369   1.3482310  -9.09699722  12.52625797
## 618   8.70826695   6.29201516   3.3645369   1.3482310  -9.09699722  12.52625797
## 619   8.70826695   6.29201516   3.3645369   1.3482310  -9.09699722  12.52625797
## 620   8.70826695   6.29201516   3.3645369   1.3482310  -9.09699722  12.52625797
## 621   8.70826695   6.29201516   3.3645369   1.3482310  -9.09699722  12.52625797
## 622   8.70826695   6.29201516   3.3645369   1.3482310  -9.09699722  12.52625797
## 623   8.70826695   6.29201516   3.3645369   1.3482310  -9.09699722  12.52625797
## 624   8.70826695   6.29201516   3.3645369   1.3482310  -9.09699722  12.52625797
## 625 -14.74344061  10.75470073 -17.4068753 -20.2954324  -6.85856252 -21.76177687
## 626 -14.74344061  10.75470073 -17.4068753 -20.2954324  -6.85856252 -21.76177687
## 627 -14.74344061  10.75470073 -17.4068753 -20.2954324  -6.85856252 -21.76177687
## 628 -14.74344061  10.75470073 -17.4068753 -20.2954324  -6.85856252 -21.76177687
## 629 -14.74344061  10.75470073 -17.4068753 -20.2954324  -6.85856252 -21.76177687
## 630 -14.74344061  10.75470073 -17.4068753 -20.2954324  -6.85856252 -21.76177687
## 631 -14.74344061  10.75470073 -17.4068753 -20.2954324  -6.85856252 -21.76177687
## 632 -14.74344061  10.75470073 -17.4068753 -20.2954324  -6.85856252 -21.76177687
## 633  -1.76478372   3.59323430   4.2168017   4.0711308  -3.42813781  -0.87744974
## 634  -1.76478372   3.59323430   4.2168017   4.0711308  -3.42813781  -0.87744974
## 635  -1.76478372   3.59323430   4.2168017   4.0711308  -3.42813781  -0.87744974
## 636  -1.76478372   3.59323430   4.2168017   4.0711308  -3.42813781  -0.87744974
## 637  -1.76478372   3.59323430   4.2168017   4.0711308  -3.42813781  -0.87744974
## 638  -1.76478372   3.59323430   4.2168017   4.0711308  -3.42813781  -0.87744974
## 639  -1.76478372   3.59323430   4.2168017   4.0711308  -3.42813781  -0.87744974
## 640  -1.76478372   3.59323430   4.2168017   4.0711308  -3.42813781  -0.87744974
## 641   3.38232580 -10.96379648  -4.8330986  12.7588781  -3.96193890  -2.22689897
## 642   3.38232580 -10.96379648  -4.8330986  12.7588781  -3.96193890  -2.22689897
## 643   3.38232580 -10.96379648  -4.8330986  12.7588781  -3.96193890  -2.22689897
## 644   3.38232580 -10.96379648  -4.8330986  12.7588781  -3.96193890  -2.22689897
## 645   3.38232580 -10.96379648  -4.8330986  12.7588781  -3.96193890  -2.22689897
## 646   3.38232580 -10.96379648  -4.8330986  12.7588781  -3.96193890  -2.22689897
## 647   3.38232580 -10.96379648  -4.8330986  12.7588781  -3.96193890  -2.22689897
## 648   3.38232580 -10.96379648  -4.8330986  12.7588781  -3.96193890  -2.22689897
## 649   0.37858917  15.76645465 -12.7666734 -10.1555714  -3.38107906 -15.60834333
## 650   0.37858917  15.76645465 -12.7666734 -10.1555714  -3.38107906 -15.60834333
## 651   0.37858917  15.76645465 -12.7666734 -10.1555714  -3.38107906 -15.60834333
## 652   0.37858917  15.76645465 -12.7666734 -10.1555714  -3.38107906 -15.60834333
## 653   0.37858917  15.76645465 -12.7666734 -10.1555714  -3.38107906 -15.60834333
## 654   0.37858917  15.76645465 -12.7666734 -10.1555714  -3.38107906 -15.60834333
## 655   0.37858917  15.76645465 -12.7666734 -10.1555714  -3.38107906 -15.60834333
## 656   0.37858917  15.76645465 -12.7666734 -10.1555714  -3.38107906 -15.60834333
## 657 -29.13120644  26.48810685 -46.3810626 -30.7421531   0.86484292  -4.33229869
## 658 -29.13120644  26.48810685 -46.3810626 -30.7421531   0.86484292  -4.33229869
## 659 -29.13120644  26.48810685 -46.3810626 -30.7421531   0.86484292  -4.33229869
## 660 -29.13120644  26.48810685 -46.3810626 -30.7421531   0.86484292  -4.33229869
## 661 -29.13120644  26.48810685 -46.3810626 -30.7421531   0.86484292  -4.33229869
## 662 -29.13120644  26.48810685 -46.3810626 -30.7421531   0.86484292  -4.33229869
## 663 -29.13120644  26.48810685 -46.3810626 -30.7421531   0.86484292  -4.33229869
## 664 -29.13120644  26.48810685 -46.3810626 -30.7421531   0.86484292  -4.33229869
## 665  22.07151850  -4.13382349  19.3160551 -18.4920647  -1.51892957   9.90603570
## 666  22.07151850  -4.13382349  19.3160551 -18.4920647  -1.51892957   9.90603570
## 667  22.07151850  -4.13382349  19.3160551 -18.4920647  -1.51892957   9.90603570
## 668  22.07151850  -4.13382349  19.3160551 -18.4920647  -1.51892957   9.90603570
## 669  22.07151850  -4.13382349  19.3160551 -18.4920647  -1.51892957   9.90603570
## 670  22.07151850  -4.13382349  19.3160551 -18.4920647  -1.51892957   9.90603570
## 671  22.07151850  -4.13382349  19.3160551 -18.4920647  -1.51892957   9.90603570
## 672  22.07151850  -4.13382349  19.3160551 -18.4920647  -1.51892957   9.90603570
## 673   5.02762404   7.93469159  -7.2667253  -4.6250696   1.25113195  -1.83424999
## 674   5.02762404   7.93469159  -7.2667253  -4.6250696   1.25113195  -1.83424999
## 675   5.02762404   7.93469159  -7.2667253  -4.6250696   1.25113195  -1.83424999
## 676   5.02762404   7.93469159  -7.2667253  -4.6250696   1.25113195  -1.83424999
## 677   5.02762404   7.93469159  -7.2667253  -4.6250696   1.25113195  -1.83424999
## 678   5.02762404   7.93469159  -7.2667253  -4.6250696   1.25113195  -1.83424999
## 679   5.02762404   7.93469159  -7.2667253  -4.6250696   1.25113195  -1.83424999
## 680   5.02762404   7.93469159  -7.2667253  -4.6250696   1.25113195  -1.83424999
## 681 -25.26696156 -11.76399082  34.2793480   2.0962297  26.76179418   6.80889949
## 682 -25.26696156 -11.76399082  34.2793480   2.0962297  26.76179418   6.80889949
## 683 -25.26696156 -11.76399082  34.2793480   2.0962297  26.76179418   6.80889949
## 684 -25.26696156 -11.76399082  34.2793480   2.0962297  26.76179418   6.80889949
## 685 -25.26696156 -11.76399082  34.2793480   2.0962297  26.76179418   6.80889949
## 686 -25.26696156 -11.76399082  34.2793480   2.0962297  26.76179418   6.80889949
## 687 -25.26696156 -11.76399082  34.2793480   2.0962297  26.76179418   6.80889949
## 688 -25.26696156 -11.76399082  34.2793480   2.0962297  26.76179418   6.80889949
## 689   0.99165866   2.96176509   1.6292421  -1.5882049  -4.67152249   1.42616498
## 690   0.99165866   2.96176509   1.6292421  -1.5882049  -4.67152249   1.42616498
## 691   0.99165866   2.96176509   1.6292421  -1.5882049  -4.67152249   1.42616498
## 692   0.99165866   2.96176509   1.6292421  -1.5882049  -4.67152249   1.42616498
## 693   0.99165866   2.96176509   1.6292421  -1.5882049  -4.67152249   1.42616498
## 694   0.99165866   2.96176509   1.6292421  -1.5882049  -4.67152249   1.42616498
## 695   0.99165866   2.96176509   1.6292421  -1.5882049  -4.67152249   1.42616498
## 696   0.99165866   2.96176509   1.6292421  -1.5882049  -4.67152249   1.42616498
## 697  21.12604341  28.92623098 -10.6848932   6.5720259 -42.38529581 -11.52499797
## 698  21.12604341  28.92623098 -10.6848932   6.5720259 -42.38529581 -11.52499797
## 699  21.12604341  28.92623098 -10.6848932   6.5720259 -42.38529581 -11.52499797
## 700  21.12604341  28.92623098 -10.6848932   6.5720259 -42.38529581 -11.52499797
## 701  21.12604341  28.92623098 -10.6848932   6.5720259 -42.38529581 -11.52499797
## 702  21.12604341  28.92623098 -10.6848932   6.5720259 -42.38529581 -11.52499797
## 703  21.12604341  28.92623098 -10.6848932   6.5720259 -42.38529581 -11.52499797
## 704  21.12604341  28.92623098 -10.6848932   6.5720259 -42.38529581 -11.52499797
## 705  -0.58150633   3.99549615  -1.4827168  -2.9546528   0.33824413   2.42533873
## 706  -0.58150633   3.99549615  -1.4827168  -2.9546528   0.33824413   2.42533873
## 707  -0.58150633   3.99549615  -1.4827168  -2.9546528   0.33824413   2.42533873
## 708  -0.58150633   3.99549615  -1.4827168  -2.9546528   0.33824413   2.42533873
## 709  -0.58150633   3.99549615  -1.4827168  -2.9546528   0.33824413   2.42533873
## 710  -0.58150633   3.99549615  -1.4827168  -2.9546528   0.33824413   2.42533873
## 711  -0.58150633   3.99549615  -1.4827168  -2.9546528   0.33824413   2.42533873
## 712  -0.58150633   3.99549615  -1.4827168  -2.9546528   0.33824413   2.42533873
## 713   0.62324824   4.17946203  -3.7187044   2.2126682   2.08406023  -0.02731053
## 714   0.62324824   4.17946203  -3.7187044   2.2126682   2.08406023  -0.02731053
## 715   0.62324824   4.17946203  -3.7187044   2.2126682   2.08406023  -0.02731053
## 716   0.62324824   4.17946203  -3.7187044   2.2126682   2.08406023  -0.02731053
## 717   0.62324824   4.17946203  -3.7187044   2.2126682   2.08406023  -0.02731053
## 718   0.62324824   4.17946203  -3.7187044   2.2126682   2.08406023  -0.02731053
## 719   0.62324824   4.17946203  -3.7187044   2.2126682   2.08406023  -0.02731053
## 720   0.62324824   4.17946203  -3.7187044   2.2126682   2.08406023  -0.02731053
## 721   6.11338075   3.06367154  -2.9870190   2.5499825  -1.13547123   4.15664571
## 722   6.11338075   3.06367154  -2.9870190   2.5499825  -1.13547123   4.15664571
## 723   6.11338075   3.06367154  -2.9870190   2.5499825  -1.13547123   4.15664571
## 724   6.11338075   3.06367154  -2.9870190   2.5499825  -1.13547123   4.15664571
## 725   6.11338075   3.06367154  -2.9870190   2.5499825  -1.13547123   4.15664571
## 726   6.11338075   3.06367154  -2.9870190   2.5499825  -1.13547123   4.15664571
## 727   6.11338075   3.06367154  -2.9870190   2.5499825  -1.13547123   4.15664571
## 728   6.11338075   3.06367154  -2.9870190   2.5499825  -1.13547123   4.15664571
## 729   3.45371709  -0.31656471  -1.8344416   0.7189883  -1.42411214   1.82147811
## 730   3.45371709  -0.31656471  -1.8344416   0.7189883  -1.42411214   1.82147811
## 731   3.45371709  -0.31656471  -1.8344416   0.7189883  -1.42411214   1.82147811
## 732   3.45371709  -0.31656471  -1.8344416   0.7189883  -1.42411214   1.82147811
## 733   3.45371709  -0.31656471  -1.8344416   0.7189883  -1.42411214   1.82147811
## 734   3.45371709  -0.31656471  -1.8344416   0.7189883  -1.42411214   1.82147811
## 735   3.45371709  -0.31656471  -1.8344416   0.7189883  -1.42411214   1.82147811
## 736   3.45371709  -0.31656471  -1.8344416   0.7189883  -1.42411214   1.82147811
## 737   0.89181000   9.44557083   1.6599640   2.0342058  -0.97987374  -0.63891980
## 738   0.89181000   9.44557083   1.6599640   2.0342058  -0.97987374  -0.63891980
## 739   0.89181000   9.44557083   1.6599640   2.0342058  -0.97987374  -0.63891980
## 740   0.89181000   9.44557083   1.6599640   2.0342058  -0.97987374  -0.63891980
## 741   0.89181000   9.44557083   1.6599640   2.0342058  -0.97987374  -0.63891980
## 742   0.89181000   9.44557083   1.6599640   2.0342058  -0.97987374  -0.63891980
## 743   0.89181000   9.44557083   1.6599640   2.0342058  -0.97987374  -0.63891980
## 744   0.89181000   9.44557083   1.6599640   2.0342058  -0.97987374  -0.63891980
## 745  -2.48056934   3.34267863   4.9642185   4.9808831   1.74338505  -0.22523323
## 746  -2.48056934   3.34267863   4.9642185   4.9808831   1.74338505  -0.22523323
## 747  -2.48056934   3.34267863   4.9642185   4.9808831   1.74338505  -0.22523323
## 748  -2.48056934   3.34267863   4.9642185   4.9808831   1.74338505  -0.22523323
## 749  -2.48056934   3.34267863   4.9642185   4.9808831   1.74338505  -0.22523323
## 750  -2.48056934   3.34267863   4.9642185   4.9808831   1.74338505  -0.22523323
## 751  -2.48056934   3.34267863   4.9642185   4.9808831   1.74338505  -0.22523323
## 752  -2.48056934   3.34267863   4.9642185   4.9808831   1.74338505  -0.22523323
## 753 -10.21890369   6.90945684  -6.6585077  -3.0490790  11.44159590  -3.27870635
## 754 -10.21890369   6.90945684  -6.6585077  -3.0490790  11.44159590  -3.27870635
## 755 -10.21890369   6.90945684  -6.6585077  -3.0490790  11.44159590  -3.27870635
## 756 -10.21890369   6.90945684  -6.6585077  -3.0490790  11.44159590  -3.27870635
## 757 -10.21890369   6.90945684  -6.6585077  -3.0490790  11.44159590  -3.27870635
## 758 -10.21890369   6.90945684  -6.6585077  -3.0490790  11.44159590  -3.27870635
## 759 -10.21890369   6.90945684  -6.6585077  -3.0490790  11.44159590  -3.27870635
## 760 -10.21890369   6.90945684  -6.6585077  -3.0490790  11.44159590  -3.27870635
## 761  -5.92548637  11.14366763 -10.0401924   1.4278316   5.08092314   8.92525011
## 762  -5.92548637  11.14366763 -10.0401924   1.4278316   5.08092314   8.92525011
## 763  -5.92548637  11.14366763 -10.0401924   1.4278316   5.08092314   8.92525011
## 764  -5.92548637  11.14366763 -10.0401924   1.4278316   5.08092314   8.92525011
## 765  -5.92548637  11.14366763 -10.0401924   1.4278316   5.08092314   8.92525011
## 766  -5.92548637  11.14366763 -10.0401924   1.4278316   5.08092314   8.92525011
## 767  -5.92548637  11.14366763 -10.0401924   1.4278316   5.08092314   8.92525011
## 768  -5.92548637  11.14366763 -10.0401924   1.4278316   5.08092314   8.92525011
## 769  -4.18574047   4.84592926   2.4745709   2.7517429  -0.55616263   6.09562970
## 770  -4.18574047   4.84592926   2.4745709   2.7517429  -0.55616263   6.09562970
## 771  -4.18574047   4.84592926   2.4745709   2.7517429  -0.55616263   6.09562970
## 772  -4.18574047   4.84592926   2.4745709   2.7517429  -0.55616263   6.09562970
## 773  -4.18574047   4.84592926   2.4745709   2.7517429  -0.55616263   6.09562970
## 774  -4.18574047   4.84592926   2.4745709   2.7517429  -0.55616263   6.09562970
## 775  -4.18574047   4.84592926   2.4745709   2.7517429  -0.55616263   6.09562970
## 776  -4.18574047   4.84592926   2.4745709   2.7517429  -0.55616263   6.09562970
## 777   5.99554234   8.34675720  -4.9373777  21.0376374  35.24682492  26.64010487
## 778   5.99554234   8.34675720  -4.9373777  21.0376374  35.24682492  26.64010487
## 779   5.99554234   8.34675720  -4.9373777  21.0376374  35.24682492  26.64010487
## 780   5.99554234   8.34675720  -4.9373777  21.0376374  35.24682492  26.64010487
## 781   5.99554234   8.34675720  -4.9373777  21.0376374  35.24682492  26.64010487
## 782   5.99554234   8.34675720  -4.9373777  21.0376374  35.24682492  26.64010487
## 783   5.99554234   8.34675720  -4.9373777  21.0376374  35.24682492  26.64010487
## 784   5.99554234   8.34675720  -4.9373777  21.0376374  35.24682492  26.64010487
## 785   0.16169884   4.87776753   4.4480427  -6.7809987  -5.45415954  -2.18162132
## 786   0.16169884   4.87776753   4.4480427  -6.7809987  -5.45415954  -2.18162132
## 787   0.16169884   4.87776753   4.4480427  -6.7809987  -5.45415954  -2.18162132
## 788   0.16169884   4.87776753   4.4480427  -6.7809987  -5.45415954  -2.18162132
## 789   0.16169884   4.87776753   4.4480427  -6.7809987  -5.45415954  -2.18162132
## 790   0.16169884   4.87776753   4.4480427  -6.7809987  -5.45415954  -2.18162132
## 791   0.16169884   4.87776753   4.4480427  -6.7809987  -5.45415954  -2.18162132
## 792   0.16169884   4.87776753   4.4480427  -6.7809987  -5.45415954  -2.18162132
## 793 -14.73299314   2.13001687   9.6395260 -20.6649028 -18.41619177  26.25003131
## 794 -14.73299314   2.13001687   9.6395260 -20.6649028 -18.41619177  26.25003131
## 795 -14.73299314   2.13001687   9.6395260 -20.6649028 -18.41619177  26.25003131
## 796 -14.73299314   2.13001687   9.6395260 -20.6649028 -18.41619177  26.25003131
## 797 -14.73299314   2.13001687   9.6395260 -20.6649028 -18.41619177  26.25003131
## 798 -14.73299314   2.13001687   9.6395260 -20.6649028 -18.41619177  26.25003131
## 799 -14.73299314   2.13001687   9.6395260 -20.6649028 -18.41619177  26.25003131
##       PC43_score   PC44_score    PC45_score   PC46_score  PC47_score
## 1    15.81394795   5.60901944 -18.224497241  13.75807030 -19.5760814
## 2    15.81394795   5.60901944 -18.224497241  13.75807030 -19.5760814
## 3    15.81394795   5.60901944 -18.224497241  13.75807030 -19.5760814
## 4    15.81394795   5.60901944 -18.224497241  13.75807030 -19.5760814
## 5    15.81394795   5.60901944 -18.224497241  13.75807030 -19.5760814
## 6    15.81394795   5.60901944 -18.224497241  13.75807030 -19.5760814
## 7    15.81394795   5.60901944 -18.224497241  13.75807030 -19.5760814
## 8    15.81394795   5.60901944 -18.224497241  13.75807030 -19.5760814
## 9     0.42034208  -5.89198219  -2.780549981   3.55271787   4.8409380
## 10    0.42034208  -5.89198219  -2.780549981   3.55271787   4.8409380
## 11    0.42034208  -5.89198219  -2.780549981   3.55271787   4.8409380
## 12    0.42034208  -5.89198219  -2.780549981   3.55271787   4.8409380
## 13    0.42034208  -5.89198219  -2.780549981   3.55271787   4.8409380
## 14    0.42034208  -5.89198219  -2.780549981   3.55271787   4.8409380
## 15    0.42034208  -5.89198219  -2.780549981   3.55271787   4.8409380
## 16    0.42034208  -5.89198219  -2.780549981   3.55271787   4.8409380
## 17  -14.04889237  16.68215134  -3.693470341  24.09075130  -2.0356434
## 18  -14.04889237  16.68215134  -3.693470341  24.09075130  -2.0356434
## 19  -14.04889237  16.68215134  -3.693470341  24.09075130  -2.0356434
## 20  -14.04889237  16.68215134  -3.693470341  24.09075130  -2.0356434
## 21  -14.04889237  16.68215134  -3.693470341  24.09075130  -2.0356434
## 22  -14.04889237  16.68215134  -3.693470341  24.09075130  -2.0356434
## 23  -14.04889237  16.68215134  -3.693470341  24.09075130  -2.0356434
## 24  -14.04889237  16.68215134  -3.693470341  24.09075130  -2.0356434
## 25  -26.13568495 -36.58243400 -33.321976215  -0.75579357  38.1671989
## 26  -26.13568495 -36.58243400 -33.321976215  -0.75579357  38.1671989
## 27  -26.13568495 -36.58243400 -33.321976215  -0.75579357  38.1671989
## 28  -26.13568495 -36.58243400 -33.321976215  -0.75579357  38.1671989
## 29  -26.13568495 -36.58243400 -33.321976215  -0.75579357  38.1671989
## 30  -26.13568495 -36.58243400 -33.321976215  -0.75579357  38.1671989
## 31  -26.13568495 -36.58243400 -33.321976215  -0.75579357  38.1671989
## 32  -26.13568495 -36.58243400 -33.321976215  -0.75579357  38.1671989
## 33   12.57796635  -8.52403813   4.212855189 -25.20593007  -4.6246479
## 34   12.57796635  -8.52403813   4.212855189 -25.20593007  -4.6246479
## 35   12.57796635  -8.52403813   4.212855189 -25.20593007  -4.6246479
## 36   12.57796635  -8.52403813   4.212855189 -25.20593007  -4.6246479
## 37   12.57796635  -8.52403813   4.212855189 -25.20593007  -4.6246479
## 38   12.57796635  -8.52403813   4.212855189 -25.20593007  -4.6246479
## 39   12.57796635  -8.52403813   4.212855189 -25.20593007  -4.6246479
## 40   12.57796635  -8.52403813   4.212855189 -25.20593007  -4.6246479
## 41   -0.50331023  -0.38798339 -11.485238557   3.79952880   5.8375552
## 42   -0.50331023  -0.38798339 -11.485238557   3.79952880   5.8375552
## 43   -0.50331023  -0.38798339 -11.485238557   3.79952880   5.8375552
## 44   -0.50331023  -0.38798339 -11.485238557   3.79952880   5.8375552
## 45   -0.50331023  -0.38798339 -11.485238557   3.79952880   5.8375552
## 46   -0.50331023  -0.38798339 -11.485238557   3.79952880   5.8375552
## 47   -0.50331023  -0.38798339 -11.485238557   3.79952880   5.8375552
## 48   -0.50331023  -0.38798339 -11.485238557   3.79952880   5.8375552
## 49    3.11037735  -3.53175880   9.722431565  -4.66403805  -1.6182561
## 50    3.11037735  -3.53175880   9.722431565  -4.66403805  -1.6182561
## 51    3.11037735  -3.53175880   9.722431565  -4.66403805  -1.6182561
## 52    3.11037735  -3.53175880   9.722431565  -4.66403805  -1.6182561
## 53    3.11037735  -3.53175880   9.722431565  -4.66403805  -1.6182561
## 54    3.11037735  -3.53175880   9.722431565  -4.66403805  -1.6182561
## 55    3.11037735  -3.53175880   9.722431565  -4.66403805  -1.6182561
## 56    3.11037735  -3.53175880   9.722431565  -4.66403805  -1.6182561
## 57   35.18169924  17.70078792 -19.144769950 -19.74038845 -40.9884776
## 58   35.18169924  17.70078792 -19.144769950 -19.74038845 -40.9884776
## 59   35.18169924  17.70078792 -19.144769950 -19.74038845 -40.9884776
## 60   35.18169924  17.70078792 -19.144769950 -19.74038845 -40.9884776
## 61   35.18169924  17.70078792 -19.144769950 -19.74038845 -40.9884776
## 62   35.18169924  17.70078792 -19.144769950 -19.74038845 -40.9884776
## 63   35.18169924  17.70078792 -19.144769950 -19.74038845 -40.9884776
## 64   35.18169924  17.70078792 -19.144769950 -19.74038845 -40.9884776
## 65   25.89336305 -36.04579813 -17.769303341  15.02992455   2.2517859
## 66   25.89336305 -36.04579813 -17.769303341  15.02992455   2.2517859
## 67   25.89336305 -36.04579813 -17.769303341  15.02992455   2.2517859
## 68   25.89336305 -36.04579813 -17.769303341  15.02992455   2.2517859
## 69   25.89336305 -36.04579813 -17.769303341  15.02992455   2.2517859
## 70   25.89336305 -36.04579813 -17.769303341  15.02992455   2.2517859
## 71   25.89336305 -36.04579813 -17.769303341  15.02992455   2.2517859
## 72   25.89336305 -36.04579813 -17.769303341  15.02992455   2.2517859
## 73    8.25438957   2.99610456   0.451528241   9.72798063 -11.6812940
## 74    8.25438957   2.99610456   0.451528241   9.72798063 -11.6812940
## 75    8.25438957   2.99610456   0.451528241   9.72798063 -11.6812940
## 76    8.25438957   2.99610456   0.451528241   9.72798063 -11.6812940
## 77    8.25438957   2.99610456   0.451528241   9.72798063 -11.6812940
## 78    8.25438957   2.99610456   0.451528241   9.72798063 -11.6812940
## 79    8.25438957   2.99610456   0.451528241   9.72798063 -11.6812940
## 80    8.25438957   2.99610456   0.451528241   9.72798063 -11.6812940
## 81   12.77119393   1.24620005  -0.093365727  -4.84718179   4.5077705
## 82   12.77119393   1.24620005  -0.093365727  -4.84718179   4.5077705
## 83   12.77119393   1.24620005  -0.093365727  -4.84718179   4.5077705
## 84   12.77119393   1.24620005  -0.093365727  -4.84718179   4.5077705
## 85   12.77119393   1.24620005  -0.093365727  -4.84718179   4.5077705
## 86   12.77119393   1.24620005  -0.093365727  -4.84718179   4.5077705
## 87   12.77119393   1.24620005  -0.093365727  -4.84718179   4.5077705
## 88   12.77119393   1.24620005  -0.093365727  -4.84718179   4.5077705
## 89   -7.66627295   9.52797978  17.850910273  -4.87377683   0.3968963
## 90   -7.66627295   9.52797978  17.850910273  -4.87377683   0.3968963
## 91   -7.66627295   9.52797978  17.850910273  -4.87377683   0.3968963
## 92   -7.66627295   9.52797978  17.850910273  -4.87377683   0.3968963
## 93   -7.66627295   9.52797978  17.850910273  -4.87377683   0.3968963
## 94   -7.66627295   9.52797978  17.850910273  -4.87377683   0.3968963
## 95   -7.66627295   9.52797978  17.850910273  -4.87377683   0.3968963
## 96   -7.66627295   9.52797978  17.850910273  -4.87377683   0.3968963
## 97   34.21016922 -21.94638858  -4.589018538   4.66148686  35.2011784
## 98   34.21016922 -21.94638858  -4.589018538   4.66148686  35.2011784
## 99   34.21016922 -21.94638858  -4.589018538   4.66148686  35.2011784
## 100  34.21016922 -21.94638858  -4.589018538   4.66148686  35.2011784
## 101  34.21016922 -21.94638858  -4.589018538   4.66148686  35.2011784
## 102  34.21016922 -21.94638858  -4.589018538   4.66148686  35.2011784
## 103  34.21016922 -21.94638858  -4.589018538   4.66148686  35.2011784
## 104  34.21016922 -21.94638858  -4.589018538   4.66148686  35.2011784
## 105   0.73394846   0.22255773  -4.863715361 -15.78527745  -2.1713951
## 106   0.73394846   0.22255773  -4.863715361 -15.78527745  -2.1713951
## 107   0.73394846   0.22255773  -4.863715361 -15.78527745  -2.1713951
## 108   0.73394846   0.22255773  -4.863715361 -15.78527745  -2.1713951
## 109   0.73394846   0.22255773  -4.863715361 -15.78527745  -2.1713951
## 110   0.73394846   0.22255773  -4.863715361 -15.78527745  -2.1713951
## 111   0.73394846   0.22255773  -4.863715361 -15.78527745  -2.1713951
## 112   0.73394846   0.22255773  -4.863715361 -15.78527745  -2.1713951
## 113   0.33041294   6.49175989  12.500640740   3.72469921  11.0651022
## 114   0.33041294   6.49175989  12.500640740   3.72469921  11.0651022
## 115   0.33041294   6.49175989  12.500640740   3.72469921  11.0651022
## 116   0.33041294   6.49175989  12.500640740   3.72469921  11.0651022
## 117   0.33041294   6.49175989  12.500640740   3.72469921  11.0651022
## 118   0.33041294   6.49175989  12.500640740   3.72469921  11.0651022
## 119   0.33041294   6.49175989  12.500640740   3.72469921  11.0651022
## 120   0.33041294   6.49175989  12.500640740   3.72469921  11.0651022
## 121 -37.32071868 -42.12648832  38.384284692  -7.44374242  11.8056803
## 122 -37.32071868 -42.12648832  38.384284692  -7.44374242  11.8056803
## 123 -37.32071868 -42.12648832  38.384284692  -7.44374242  11.8056803
## 124 -37.32071868 -42.12648832  38.384284692  -7.44374242  11.8056803
## 125 -37.32071868 -42.12648832  38.384284692  -7.44374242  11.8056803
## 126 -37.32071868 -42.12648832  38.384284692  -7.44374242  11.8056803
## 127 -37.32071868 -42.12648832  38.384284692  -7.44374242  11.8056803
## 128 -37.32071868 -42.12648832  38.384284692  -7.44374242  11.8056803
## 129  19.63018622  -3.94896137   8.788715679 -27.58398477  11.5898879
## 130  19.63018622  -3.94896137   8.788715679 -27.58398477  11.5898879
## 131  19.63018622  -3.94896137   8.788715679 -27.58398477  11.5898879
## 132  19.63018622  -3.94896137   8.788715679 -27.58398477  11.5898879
## 133  19.63018622  -3.94896137   8.788715679 -27.58398477  11.5898879
## 134  19.63018622  -3.94896137   8.788715679 -27.58398477  11.5898879
## 135  19.63018622  -3.94896137   8.788715679 -27.58398477  11.5898879
## 136  19.63018622  -3.94896137   8.788715679 -27.58398477  11.5898879
## 137   4.22247909   0.94505685   2.859509922  -0.83436197  -2.1017805
## 138   4.22247909   0.94505685   2.859509922  -0.83436197  -2.1017805
## 139   4.22247909   0.94505685   2.859509922  -0.83436197  -2.1017805
## 140   4.22247909   0.94505685   2.859509922  -0.83436197  -2.1017805
## 141   4.22247909   0.94505685   2.859509922  -0.83436197  -2.1017805
## 142   4.22247909   0.94505685   2.859509922  -0.83436197  -2.1017805
## 143   4.22247909   0.94505685   2.859509922  -0.83436197  -2.1017805
## 144   4.22247909   0.94505685   2.859509922  -0.83436197  -2.1017805
## 145   3.03599562   3.46980438 -10.161021427  -3.34828209  -9.6626148
## 146   3.03599562   3.46980438 -10.161021427  -3.34828209  -9.6626148
## 147   3.03599562   3.46980438 -10.161021427  -3.34828209  -9.6626148
## 148   3.03599562   3.46980438 -10.161021427  -3.34828209  -9.6626148
## 149   3.03599562   3.46980438 -10.161021427  -3.34828209  -9.6626148
## 150   3.03599562   3.46980438 -10.161021427  -3.34828209  -9.6626148
## 151   3.03599562   3.46980438 -10.161021427  -3.34828209  -9.6626148
## 152   3.03599562   3.46980438 -10.161021427  -3.34828209  -9.6626148
## 153   3.84309566  -2.43632896  -0.199646552  -2.36392264   1.1394821
## 154   3.84309566  -2.43632896  -0.199646552  -2.36392264   1.1394821
## 155   3.84309566  -2.43632896  -0.199646552  -2.36392264   1.1394821
## 156   3.84309566  -2.43632896  -0.199646552  -2.36392264   1.1394821
## 157   3.84309566  -2.43632896  -0.199646552  -2.36392264   1.1394821
## 158   3.84309566  -2.43632896  -0.199646552  -2.36392264   1.1394821
## 159   3.84309566  -2.43632896  -0.199646552  -2.36392264   1.1394821
## 160   3.84309566  -2.43632896  -0.199646552  -2.36392264   1.1394821
## 161   1.93737790  17.11700069  -5.764693074   0.47461371  12.6080627
## 162   1.93737790  17.11700069  -5.764693074   0.47461371  12.6080627
## 163   1.93737790  17.11700069  -5.764693074   0.47461371  12.6080627
## 164   1.93737790  17.11700069  -5.764693074   0.47461371  12.6080627
## 165   1.93737790  17.11700069  -5.764693074   0.47461371  12.6080627
## 166   1.93737790  17.11700069  -5.764693074   0.47461371  12.6080627
## 167   1.93737790  17.11700069  -5.764693074   0.47461371  12.6080627
## 168   1.93737790  17.11700069  -5.764693074   0.47461371  12.6080627
## 169  -2.65756361  -1.27543881  -2.017202951   0.08766163   4.8370853
## 170  -2.65756361  -1.27543881  -2.017202951   0.08766163   4.8370853
## 171  -2.65756361  -1.27543881  -2.017202951   0.08766163   4.8370853
## 172  -2.65756361  -1.27543881  -2.017202951   0.08766163   4.8370853
## 173  -2.65756361  -1.27543881  -2.017202951   0.08766163   4.8370853
## 174  -2.65756361  -1.27543881  -2.017202951   0.08766163   4.8370853
## 175  -2.65756361  -1.27543881  -2.017202951   0.08766163   4.8370853
## 176  -2.65756361  -1.27543881  -2.017202951   0.08766163   4.8370853
## 177  -2.81606210  -3.16517279  -4.135980662   0.60934514  -3.6258639
## 178  -2.81606210  -3.16517279  -4.135980662   0.60934514  -3.6258639
## 179  -2.81606210  -3.16517279  -4.135980662   0.60934514  -3.6258639
## 180  -2.81606210  -3.16517279  -4.135980662   0.60934514  -3.6258639
## 181  -2.81606210  -3.16517279  -4.135980662   0.60934514  -3.6258639
## 182  -2.81606210  -3.16517279  -4.135980662   0.60934514  -3.6258639
## 183  -2.81606210  -3.16517279  -4.135980662   0.60934514  -3.6258639
## 184  -2.81606210  -3.16517279  -4.135980662   0.60934514  -3.6258639
## 185   6.94131728   4.93856454   2.572855764   1.54767829  -6.2123188
## 186   6.94131728   4.93856454   2.572855764   1.54767829  -6.2123188
## 187   6.94131728   4.93856454   2.572855764   1.54767829  -6.2123188
## 188   6.94131728   4.93856454   2.572855764   1.54767829  -6.2123188
## 189   6.94131728   4.93856454   2.572855764   1.54767829  -6.2123188
## 190   6.94131728   4.93856454   2.572855764   1.54767829  -6.2123188
## 191   6.94131728   4.93856454   2.572855764   1.54767829  -6.2123188
## 192   6.94131728   4.93856454   2.572855764   1.54767829  -6.2123188
## 193  -1.74971193  31.32837861   8.682690074  48.60926097   0.4735130
## 194  -1.74971193  31.32837861   8.682690074  48.60926097   0.4735130
## 195  -1.74971193  31.32837861   8.682690074  48.60926097   0.4735130
## 196  -1.74971193  31.32837861   8.682690074  48.60926097   0.4735130
## 197  -1.74971193  31.32837861   8.682690074  48.60926097   0.4735130
## 198  -1.74971193  31.32837861   8.682690074  48.60926097   0.4735130
## 199  -1.74971193  31.32837861   8.682690074  48.60926097   0.4735130
## 200  -1.74971193  31.32837861   8.682690074  48.60926097   0.4735130
## 201  -7.95663076 -25.43956528  -3.412281965   3.57036068  -7.5707876
## 202  -7.95663076 -25.43956528  -3.412281965   3.57036068  -7.5707876
## 203  -7.95663076 -25.43956528  -3.412281965   3.57036068  -7.5707876
## 204  -7.95663076 -25.43956528  -3.412281965   3.57036068  -7.5707876
## 205  -7.95663076 -25.43956528  -3.412281965   3.57036068  -7.5707876
## 206  -7.95663076 -25.43956528  -3.412281965   3.57036068  -7.5707876
## 207  -7.95663076 -25.43956528  -3.412281965   3.57036068  -7.5707876
## 208  -7.95663076 -25.43956528  -3.412281965   3.57036068  -7.5707876
## 209  -1.19826976  -6.44492291  -0.427527275   2.27422228   4.0786465
## 210  -1.19826976  -6.44492291  -0.427527275   2.27422228   4.0786465
## 211  -1.19826976  -6.44492291  -0.427527275   2.27422228   4.0786465
## 212  -1.19826976  -6.44492291  -0.427527275   2.27422228   4.0786465
## 213  -1.19826976  -6.44492291  -0.427527275   2.27422228   4.0786465
## 214  -1.19826976  -6.44492291  -0.427527275   2.27422228   4.0786465
## 215  -1.19826976  -6.44492291  -0.427527275   2.27422228   4.0786465
## 216  -1.19826976  -6.44492291  -0.427527275   2.27422228   4.0786465
## 217  -0.01919048   3.32105497  -0.612187450   1.50288043   0.8970403
## 218  -0.01919048   3.32105497  -0.612187450   1.50288043   0.8970403
## 219  -0.01919048   3.32105497  -0.612187450   1.50288043   0.8970403
## 220  -0.01919048   3.32105497  -0.612187450   1.50288043   0.8970403
## 221  -0.01919048   3.32105497  -0.612187450   1.50288043   0.8970403
## 222  -0.01919048   3.32105497  -0.612187450   1.50288043   0.8970403
## 223  -0.01919048   3.32105497  -0.612187450   1.50288043   0.8970403
## 224  -0.01919048   3.32105497  -0.612187450   1.50288043   0.8970403
## 225   0.72042036   0.64941073   1.019942851  -2.56975366   4.1571872
## 226   0.72042036   0.64941073   1.019942851  -2.56975366   4.1571872
## 227   0.72042036   0.64941073   1.019942851  -2.56975366   4.1571872
## 228   0.72042036   0.64941073   1.019942851  -2.56975366   4.1571872
## 229   0.72042036   0.64941073   1.019942851  -2.56975366   4.1571872
## 230   0.72042036   0.64941073   1.019942851  -2.56975366   4.1571872
## 231   0.72042036   0.64941073   1.019942851  -2.56975366   4.1571872
## 232   0.72042036   0.64941073   1.019942851  -2.56975366   4.1571872
## 233 -20.09552418 -12.13248221   7.636614501   2.87579171  -1.1903155
## 234 -20.09552418 -12.13248221   7.636614501   2.87579171  -1.1903155
## 235 -20.09552418 -12.13248221   7.636614501   2.87579171  -1.1903155
## 236 -20.09552418 -12.13248221   7.636614501   2.87579171  -1.1903155
## 237 -20.09552418 -12.13248221   7.636614501   2.87579171  -1.1903155
## 238 -20.09552418 -12.13248221   7.636614501   2.87579171  -1.1903155
## 239 -20.09552418 -12.13248221   7.636614501   2.87579171  -1.1903155
## 240 -20.09552418 -12.13248221   7.636614501   2.87579171  -1.1903155
## 241  12.14413256   7.36872951  -1.356890933 -13.40129772  20.1691437
## 242  12.14413256   7.36872951  -1.356890933 -13.40129772  20.1691437
## 243  12.14413256   7.36872951  -1.356890933 -13.40129772  20.1691437
## 244  12.14413256   7.36872951  -1.356890933 -13.40129772  20.1691437
## 245  12.14413256   7.36872951  -1.356890933 -13.40129772  20.1691437
## 246  12.14413256   7.36872951  -1.356890933 -13.40129772  20.1691437
## 247  12.14413256   7.36872951  -1.356890933 -13.40129772  20.1691437
## 248  12.14413256   7.36872951  -1.356890933 -13.40129772  20.1691437
## 249   8.84533383   6.94737715  -6.380619810 -33.03570208   2.0431675
## 250   8.84533383   6.94737715  -6.380619810 -33.03570208   2.0431675
## 251   8.84533383   6.94737715  -6.380619810 -33.03570208   2.0431675
## 252   8.84533383   6.94737715  -6.380619810 -33.03570208   2.0431675
## 253   8.84533383   6.94737715  -6.380619810 -33.03570208   2.0431675
## 254   8.84533383   6.94737715  -6.380619810 -33.03570208   2.0431675
## 255   8.84533383   6.94737715  -6.380619810 -33.03570208   2.0431675
## 256   8.84533383   6.94737715  -6.380619810 -33.03570208   2.0431675
## 257  -3.44885388   5.69719013   1.918728287  -3.79581052   3.2903072
## 258  -3.44885388   5.69719013   1.918728287  -3.79581052   3.2903072
## 259  -3.44885388   5.69719013   1.918728287  -3.79581052   3.2903072
## 260  -3.44885388   5.69719013   1.918728287  -3.79581052   3.2903072
## 261  -3.44885388   5.69719013   1.918728287  -3.79581052   3.2903072
## 262  -3.44885388   5.69719013   1.918728287  -3.79581052   3.2903072
## 263  -3.44885388   5.69719013   1.918728287  -3.79581052   3.2903072
## 264  -3.44885388   5.69719013   1.918728287  -3.79581052   3.2903072
## 265  13.21325116  26.92696718 -23.490959982  -4.33334318   8.6897395
## 266  13.21325116  26.92696718 -23.490959982  -4.33334318   8.6897395
## 267  13.21325116  26.92696718 -23.490959982  -4.33334318   8.6897395
## 268  13.21325116  26.92696718 -23.490959982  -4.33334318   8.6897395
## 269  13.21325116  26.92696718 -23.490959982  -4.33334318   8.6897395
## 270  13.21325116  26.92696718 -23.490959982  -4.33334318   8.6897395
## 271  13.21325116  26.92696718 -23.490959982  -4.33334318   8.6897395
## 272  13.21325116  26.92696718 -23.490959982  -4.33334318   8.6897395
## 273 -23.62562284  -5.69231672 -47.698360735   8.27448146 -50.3451152
## 274 -23.62562284  -5.69231672 -47.698360735   8.27448146 -50.3451152
## 275 -23.62562284  -5.69231672 -47.698360735   8.27448146 -50.3451152
## 276 -23.62562284  -5.69231672 -47.698360735   8.27448146 -50.3451152
## 277 -23.62562284  -5.69231672 -47.698360735   8.27448146 -50.3451152
## 278 -23.62562284  -5.69231672 -47.698360735   8.27448146 -50.3451152
## 279 -23.62562284  -5.69231672 -47.698360735   8.27448146 -50.3451152
## 280 -23.62562284  -5.69231672 -47.698360735   8.27448146 -50.3451152
## 281 -16.03207543  12.03105482 -30.574685553 -34.81101699  19.0791285
## 282 -16.03207543  12.03105482 -30.574685553 -34.81101699  19.0791285
## 283 -16.03207543  12.03105482 -30.574685553 -34.81101699  19.0791285
## 284 -16.03207543  12.03105482 -30.574685553 -34.81101699  19.0791285
## 285 -16.03207543  12.03105482 -30.574685553 -34.81101699  19.0791285
## 286 -16.03207543  12.03105482 -30.574685553 -34.81101699  19.0791285
## 287 -16.03207543  12.03105482 -30.574685553 -34.81101699  19.0791285
## 288 -16.03207543  12.03105482 -30.574685553 -34.81101699  19.0791285
## 289  -1.26101109  -9.42681221  -3.914842317   1.26344737   1.3257592
## 290  -1.26101109  -9.42681221  -3.914842317   1.26344737   1.3257592
## 291  -1.26101109  -9.42681221  -3.914842317   1.26344737   1.3257592
## 292  -1.26101109  -9.42681221  -3.914842317   1.26344737   1.3257592
## 293  -1.26101109  -9.42681221  -3.914842317   1.26344737   1.3257592
## 294  -1.26101109  -9.42681221  -3.914842317   1.26344737   1.3257592
## 295  -1.26101109  -9.42681221  -3.914842317   1.26344737   1.3257592
## 296  -1.26101109  -9.42681221  -3.914842317   1.26344737   1.3257592
## 297   0.24836791   0.01068608  -0.710605818  -1.95064031  -2.2830106
## 298   0.24836791   0.01068608  -0.710605818  -1.95064031  -2.2830106
## 299   0.24836791   0.01068608  -0.710605818  -1.95064031  -2.2830106
## 300   0.24836791   0.01068608  -0.710605818  -1.95064031  -2.2830106
## 301   0.24836791   0.01068608  -0.710605818  -1.95064031  -2.2830106
## 302   0.24836791   0.01068608  -0.710605818  -1.95064031  -2.2830106
## 303   0.24836791   0.01068608  -0.710605818  -1.95064031  -2.2830106
## 304   0.24836791   0.01068608  -0.710605818  -1.95064031  -2.2830106
## 305  -0.09732674   5.83874264  -1.398721300  -4.07463397   6.4733703
## 306  -0.09732674   5.83874264  -1.398721300  -4.07463397   6.4733703
## 307  -0.09732674   5.83874264  -1.398721300  -4.07463397   6.4733703
## 308  -0.09732674   5.83874264  -1.398721300  -4.07463397   6.4733703
## 309  -0.09732674   5.83874264  -1.398721300  -4.07463397   6.4733703
## 310  -0.09732674   5.83874264  -1.398721300  -4.07463397   6.4733703
## 311  -0.09732674   5.83874264  -1.398721300  -4.07463397   6.4733703
## 312  -0.09732674   5.83874264  -1.398721300  -4.07463397   6.4733703
## 313 -54.87821462   7.50212419  35.160940948 -48.89900325 -14.3702525
## 314 -54.87821462   7.50212419  35.160940948 -48.89900325 -14.3702525
## 315 -54.87821462   7.50212419  35.160940948 -48.89900325 -14.3702525
## 316 -54.87821462   7.50212419  35.160940948 -48.89900325 -14.3702525
## 317 -54.87821462   7.50212419  35.160940948 -48.89900325 -14.3702525
## 318 -54.87821462   7.50212419  35.160940948 -48.89900325 -14.3702525
## 319 -54.87821462   7.50212419  35.160940948 -48.89900325 -14.3702525
## 320 -54.87821462   7.50212419  35.160940948 -48.89900325 -14.3702525
## 321  40.54755270  30.35354167  38.804363635  -4.73591357  15.3126506
## 322  40.54755270  30.35354167  38.804363635  -4.73591357  15.3126506
## 323  40.54755270  30.35354167  38.804363635  -4.73591357  15.3126506
## 324  40.54755270  30.35354167  38.804363635  -4.73591357  15.3126506
## 325  40.54755270  30.35354167  38.804363635  -4.73591357  15.3126506
## 326  40.54755270  30.35354167  38.804363635  -4.73591357  15.3126506
## 327  40.54755270  30.35354167  38.804363635  -4.73591357  15.3126506
## 328  40.54755270  30.35354167  38.804363635  -4.73591357  15.3126506
## 329 -11.72209862  -1.21252900  -0.310327247   5.17506072  -8.6759372
## 330 -11.72209862  -1.21252900  -0.310327247   5.17506072  -8.6759372
## 331 -11.72209862  -1.21252900  -0.310327247   5.17506072  -8.6759372
## 332 -11.72209862  -1.21252900  -0.310327247   5.17506072  -8.6759372
## 333 -11.72209862  -1.21252900  -0.310327247   5.17506072  -8.6759372
## 334 -11.72209862  -1.21252900  -0.310327247   5.17506072  -8.6759372
## 335 -11.72209862  -1.21252900  -0.310327247   5.17506072  -8.6759372
## 336 -11.72209862  -1.21252900  -0.310327247   5.17506072  -8.6759372
## 337  -4.57337016  -5.55724941  -3.555656706   3.84041280   5.7252735
## 338  -4.57337016  -5.55724941  -3.555656706   3.84041280   5.7252735
## 339  -4.57337016  -5.55724941  -3.555656706   3.84041280   5.7252735
## 340  -4.57337016  -5.55724941  -3.555656706   3.84041280   5.7252735
## 341  -4.57337016  -5.55724941  -3.555656706   3.84041280   5.7252735
## 342  -4.57337016  -5.55724941  -3.555656706   3.84041280   5.7252735
## 343  -4.57337016  -5.55724941  -3.555656706   3.84041280   5.7252735
## 344  -4.57337016  -5.55724941  -3.555656706   3.84041280   5.7252735
## 345 -16.13845445 -13.18277069  -5.686939628  -7.55926534  23.6652368
## 346 -16.13845445 -13.18277069  -5.686939628  -7.55926534  23.6652368
## 347 -16.13845445 -13.18277069  -5.686939628  -7.55926534  23.6652368
## 348 -16.13845445 -13.18277069  -5.686939628  -7.55926534  23.6652368
## 349 -16.13845445 -13.18277069  -5.686939628  -7.55926534  23.6652368
## 350 -16.13845445 -13.18277069  -5.686939628  -7.55926534  23.6652368
## 351 -16.13845445 -13.18277069  -5.686939628  -7.55926534  23.6652368
## 352 -16.13845445 -13.18277069  -5.686939628  -7.55926534  23.6652368
## 353   0.09354434  -8.72579284  -8.784448855  11.72451696  14.4713127
## 354   0.09354434  -8.72579284  -8.784448855  11.72451696  14.4713127
## 355   0.09354434  -8.72579284  -8.784448855  11.72451696  14.4713127
## 356   0.09354434  -8.72579284  -8.784448855  11.72451696  14.4713127
## 357   0.09354434  -8.72579284  -8.784448855  11.72451696  14.4713127
## 358   0.09354434  -8.72579284  -8.784448855  11.72451696  14.4713127
## 359   0.09354434  -8.72579284  -8.784448855  11.72451696  14.4713127
## 360   0.09354434  -8.72579284  -8.784448855  11.72451696  14.4713127
## 361  -7.01022604   7.31590918  -3.600914097   5.57949691  -1.0509405
## 362  -7.01022604   7.31590918  -3.600914097   5.57949691  -1.0509405
## 363  -7.01022604   7.31590918  -3.600914097   5.57949691  -1.0509405
## 364  -7.01022604   7.31590918  -3.600914097   5.57949691  -1.0509405
## 365  -7.01022604   7.31590918  -3.600914097   5.57949691  -1.0509405
## 366  -7.01022604   7.31590918  -3.600914097   5.57949691  -1.0509405
## 367  -7.01022604   7.31590918  -3.600914097   5.57949691  -1.0509405
## 368  -7.01022604   7.31590918  -3.600914097   5.57949691  -1.0509405
## 369   4.39966945   9.07246959 -10.798220208  10.52638737   1.1475848
## 370   4.39966945   9.07246959 -10.798220208  10.52638737   1.1475848
## 371   4.39966945   9.07246959 -10.798220208  10.52638737   1.1475848
## 372   4.39966945   9.07246959 -10.798220208  10.52638737   1.1475848
## 373   4.39966945   9.07246959 -10.798220208  10.52638737   1.1475848
## 374   4.39966945   9.07246959 -10.798220208  10.52638737   1.1475848
## 375   4.39966945   9.07246959 -10.798220208  10.52638737   1.1475848
## 376   4.39966945   9.07246959 -10.798220208  10.52638737   1.1475848
## 377   9.30628616  -5.26483339 -11.562355513   0.59583893   1.5107706
## 378   9.30628616  -5.26483339 -11.562355513   0.59583893   1.5107706
## 379   9.30628616  -5.26483339 -11.562355513   0.59583893   1.5107706
## 380   9.30628616  -5.26483339 -11.562355513   0.59583893   1.5107706
## 381   9.30628616  -5.26483339 -11.562355513   0.59583893   1.5107706
## 382   9.30628616  -5.26483339 -11.562355513   0.59583893   1.5107706
## 383   9.30628616  -5.26483339 -11.562355513   0.59583893   1.5107706
## 384   9.30628616  -5.26483339 -11.562355513   0.59583893   1.5107706
## 385   0.98374201   1.42626405  -0.348425558   0.84610825  -4.4592439
## 386   0.98374201   1.42626405  -0.348425558   0.84610825  -4.4592439
## 387   0.98374201   1.42626405  -0.348425558   0.84610825  -4.4592439
## 388   0.98374201   1.42626405  -0.348425558   0.84610825  -4.4592439
## 389   0.98374201   1.42626405  -0.348425558   0.84610825  -4.4592439
## 390   0.98374201   1.42626405  -0.348425558   0.84610825  -4.4592439
## 391   0.98374201   1.42626405  -0.348425558   0.84610825  -4.4592439
## 392   0.98374201   1.42626405  -0.348425558   0.84610825  -4.4592439
## 393   2.83879771  -3.13365407  -1.154906546   3.98235295  -3.6128430
## 394   2.83879771  -3.13365407  -1.154906546   3.98235295  -3.6128430
## 395   2.83879771  -3.13365407  -1.154906546   3.98235295  -3.6128430
## 396   2.83879771  -3.13365407  -1.154906546   3.98235295  -3.6128430
## 397   2.83879771  -3.13365407  -1.154906546   3.98235295  -3.6128430
## 398   2.83879771  -3.13365407  -1.154906546   3.98235295  -3.6128430
## 399   2.83879771  -3.13365407  -1.154906546   3.98235295  -3.6128430
## 400   2.83879771  -3.13365407  -1.154906546   3.98235295  -3.6128430
## 401   8.82000067 -38.02769360  19.429257682  45.45608749 -29.7132228
## 402   8.82000067 -38.02769360  19.429257682  45.45608749 -29.7132228
## 403   8.82000067 -38.02769360  19.429257682  45.45608749 -29.7132228
## 404   8.82000067 -38.02769360  19.429257682  45.45608749 -29.7132228
## 405   8.82000067 -38.02769360  19.429257682  45.45608749 -29.7132228
## 406   8.82000067 -38.02769360  19.429257682  45.45608749 -29.7132228
## 407   8.82000067 -38.02769360  19.429257682  45.45608749 -29.7132228
## 408   8.82000067 -38.02769360  19.429257682  45.45608749 -29.7132228
## 409   6.45214877  21.21160764   1.800140239  14.15142942  33.3797280
## 410   6.45214877  21.21160764   1.800140239  14.15142942  33.3797280
## 411   6.45214877  21.21160764   1.800140239  14.15142942  33.3797280
## 412   6.45214877  21.21160764   1.800140239  14.15142942  33.3797280
## 413   6.45214877  21.21160764   1.800140239  14.15142942  33.3797280
## 414   6.45214877  21.21160764   1.800140239  14.15142942  33.3797280
## 415   6.45214877  21.21160764   1.800140239  14.15142942  33.3797280
## 416   6.45214877  21.21160764   1.800140239  14.15142942  33.3797280
## 417   5.64132169   8.94535505  -1.865843968  -5.26215877   9.6275363
## 418   5.64132169   8.94535505  -1.865843968  -5.26215877   9.6275363
## 419   5.64132169   8.94535505  -1.865843968  -5.26215877   9.6275363
## 420   5.64132169   8.94535505  -1.865843968  -5.26215877   9.6275363
## 421   5.64132169   8.94535505  -1.865843968  -5.26215877   9.6275363
## 422   5.64132169   8.94535505  -1.865843968  -5.26215877   9.6275363
## 423   5.64132169   8.94535505  -1.865843968  -5.26215877   9.6275363
## 424   5.64132169   8.94535505  -1.865843968  -5.26215877   9.6275363
## 425 -10.32459187  32.86070054 -21.142914977 -39.17356436  -0.5982765
## 426 -10.32459187  32.86070054 -21.142914977 -39.17356436  -0.5982765
## 427 -10.32459187  32.86070054 -21.142914977 -39.17356436  -0.5982765
## 428 -10.32459187  32.86070054 -21.142914977 -39.17356436  -0.5982765
## 429 -10.32459187  32.86070054 -21.142914977 -39.17356436  -0.5982765
## 430 -10.32459187  32.86070054 -21.142914977 -39.17356436  -0.5982765
## 431 -10.32459187  32.86070054 -21.142914977 -39.17356436  -0.5982765
## 432 -10.32459187  32.86070054 -21.142914977 -39.17356436  -0.5982765
## 433 -11.11135807  -8.40833279  -1.120449524  18.48960353   0.7824495
## 434 -11.11135807  -8.40833279  -1.120449524  18.48960353   0.7824495
## 435 -11.11135807  -8.40833279  -1.120449524  18.48960353   0.7824495
## 436 -11.11135807  -8.40833279  -1.120449524  18.48960353   0.7824495
## 437 -11.11135807  -8.40833279  -1.120449524  18.48960353   0.7824495
## 438 -11.11135807  -8.40833279  -1.120449524  18.48960353   0.7824495
## 439 -11.11135807  -8.40833279  -1.120449524  18.48960353   0.7824495
## 440 -11.11135807  -8.40833279  -1.120449524  18.48960353   0.7824495
## 441  -1.77641008  -8.22680365   2.697848421   1.14068087   2.6467389
## 442  -1.77641008  -8.22680365   2.697848421   1.14068087   2.6467389
## 443  -1.77641008  -8.22680365   2.697848421   1.14068087   2.6467389
## 444  -1.77641008  -8.22680365   2.697848421   1.14068087   2.6467389
## 445  -1.77641008  -8.22680365   2.697848421   1.14068087   2.6467389
## 446  -1.77641008  -8.22680365   2.697848421   1.14068087   2.6467389
## 447  -1.77641008  -8.22680365   2.697848421   1.14068087   2.6467389
## 448  -1.77641008  -8.22680365   2.697848421   1.14068087   2.6467389
## 449   8.02048608  -0.04216746   0.769572392   1.01091902   3.2517998
## 450   8.02048608  -0.04216746   0.769572392   1.01091902   3.2517998
## 451   8.02048608  -0.04216746   0.769572392   1.01091902   3.2517998
## 452   8.02048608  -0.04216746   0.769572392   1.01091902   3.2517998
## 453   8.02048608  -0.04216746   0.769572392   1.01091902   3.2517998
## 454   8.02048608  -0.04216746   0.769572392   1.01091902   3.2517998
## 455   8.02048608  -0.04216746   0.769572392   1.01091902   3.2517998
## 456   8.02048608  -0.04216746   0.769572392   1.01091902   3.2517998
## 457 -12.87539347  -1.95697856   0.416910315  15.30042644  -1.5684226
## 458 -12.87539347  -1.95697856   0.416910315  15.30042644  -1.5684226
## 459 -12.87539347  -1.95697856   0.416910315  15.30042644  -1.5684226
## 460 -12.87539347  -1.95697856   0.416910315  15.30042644  -1.5684226
## 461 -12.87539347  -1.95697856   0.416910315  15.30042644  -1.5684226
## 462 -12.87539347  -1.95697856   0.416910315  15.30042644  -1.5684226
## 463 -12.87539347  -1.95697856   0.416910315  15.30042644  -1.5684226
## 464 -12.87539347  -1.95697856   0.416910315  15.30042644  -1.5684226
## 465 -30.72214883  -1.14712572 -22.752040651  18.51317754  -8.2456251
## 466 -30.72214883  -1.14712572 -22.752040651  18.51317754  -8.2456251
## 467 -30.72214883  -1.14712572 -22.752040651  18.51317754  -8.2456251
## 468 -30.72214883  -1.14712572 -22.752040651  18.51317754  -8.2456251
## 469 -30.72214883  -1.14712572 -22.752040651  18.51317754  -8.2456251
## 470 -30.72214883  -1.14712572 -22.752040651  18.51317754  -8.2456251
## 471 -30.72214883  -1.14712572 -22.752040651  18.51317754  -8.2456251
## 472 -30.72214883  -1.14712572 -22.752040651  18.51317754  -8.2456251
## 473   4.42054407   6.06591513  -0.173274797  -2.45154680  -0.0249724
## 474   4.42054407   6.06591513  -0.173274797  -2.45154680  -0.0249724
## 475   4.42054407   6.06591513  -0.173274797  -2.45154680  -0.0249724
## 476   4.42054407   6.06591513  -0.173274797  -2.45154680  -0.0249724
## 477   4.42054407   6.06591513  -0.173274797  -2.45154680  -0.0249724
## 478   4.42054407   6.06591513  -0.173274797  -2.45154680  -0.0249724
## 479   4.42054407   6.06591513  -0.173274797  -2.45154680  -0.0249724
## 480   4.42054407   6.06591513  -0.173274797  -2.45154680  -0.0249724
## 481  -6.88123161  -3.73678572   0.444241316  -9.08840838   0.7104148
## 482  -6.88123161  -3.73678572   0.444241316  -9.08840838   0.7104148
## 483  -6.88123161  -3.73678572   0.444241316  -9.08840838   0.7104148
## 484  -6.88123161  -3.73678572   0.444241316  -9.08840838   0.7104148
## 485  -6.88123161  -3.73678572   0.444241316  -9.08840838   0.7104148
## 486  -6.88123161  -3.73678572   0.444241316  -9.08840838   0.7104148
## 487  -6.88123161  -3.73678572   0.444241316  -9.08840838   0.7104148
## 488  -6.88123161  -3.73678572   0.444241316  -9.08840838   0.7104148
## 489  -5.66449575  -5.21181171   8.523336365  -3.30348037   5.3638753
## 490  -5.66449575  -5.21181171   8.523336365  -3.30348037   5.3638753
## 491  -5.66449575  -5.21181171   8.523336365  -3.30348037   5.3638753
## 492  -5.66449575  -5.21181171   8.523336365  -3.30348037   5.3638753
## 493  -5.66449575  -5.21181171   8.523336365  -3.30348037   5.3638753
## 494  -5.66449575  -5.21181171   8.523336365  -3.30348037   5.3638753
## 495  -5.66449575  -5.21181171   8.523336365  -3.30348037   5.3638753
## 496  -5.66449575  -5.21181171   8.523336365  -3.30348037   5.3638753
## 497  -3.65108078   0.94356922  -2.121851166   3.81260277  -5.1421740
## 498  -3.65108078   0.94356922  -2.121851166   3.81260277  -5.1421740
## 499  -3.65108078   0.94356922  -2.121851166   3.81260277  -5.1421740
## 500  -3.65108078   0.94356922  -2.121851166   3.81260277  -5.1421740
## 501  -3.65108078   0.94356922  -2.121851166   3.81260277  -5.1421740
## 502  -3.65108078   0.94356922  -2.121851166   3.81260277  -5.1421740
## 503  -3.65108078   0.94356922  -2.121851166   3.81260277  -5.1421740
## 504  -3.65108078   0.94356922  -2.121851166   3.81260277  -5.1421740
## 505   7.86225440  -2.08110260   3.051431622   2.92792668  -6.1221127
## 506   7.86225440  -2.08110260   3.051431622   2.92792668  -6.1221127
## 507   7.86225440  -2.08110260   3.051431622   2.92792668  -6.1221127
## 508   7.86225440  -2.08110260   3.051431622   2.92792668  -6.1221127
## 509   7.86225440  -2.08110260   3.051431622   2.92792668  -6.1221127
## 510   7.86225440  -2.08110260   3.051431622   2.92792668  -6.1221127
## 511   7.86225440  -2.08110260   3.051431622   2.92792668  -6.1221127
## 512   7.86225440  -2.08110260   3.051431622   2.92792668  -6.1221127
## 513 -16.08482994  -5.80380092 -14.261784214   6.70193868 -23.0643719
## 514 -16.08482994  -5.80380092 -14.261784214   6.70193868 -23.0643719
## 515 -16.08482994  -5.80380092 -14.261784214   6.70193868 -23.0643719
## 516 -16.08482994  -5.80380092 -14.261784214   6.70193868 -23.0643719
## 517 -16.08482994  -5.80380092 -14.261784214   6.70193868 -23.0643719
## 518 -16.08482994  -5.80380092 -14.261784214   6.70193868 -23.0643719
## 519 -16.08482994  -5.80380092 -14.261784214   6.70193868 -23.0643719
## 520 -16.08482994  -5.80380092 -14.261784214   6.70193868 -23.0643719
## 521   7.39359366   4.45147533  -1.328994169  13.89918350   4.4648924
## 522   7.39359366   4.45147533  -1.328994169  13.89918350   4.4648924
## 523   7.39359366   4.45147533  -1.328994169  13.89918350   4.4648924
## 524   7.39359366   4.45147533  -1.328994169  13.89918350   4.4648924
## 525   7.39359366   4.45147533  -1.328994169  13.89918350   4.4648924
## 526   7.39359366   4.45147533  -1.328994169  13.89918350   4.4648924
## 527   7.39359366   4.45147533  -1.328994169  13.89918350   4.4648924
## 528   7.39359366   4.45147533  -1.328994169  13.89918350   4.4648924
## 529   2.09433506  -8.79853102  -1.302020859 -13.97273149  -8.7481654
## 530   2.09433506  -8.79853102  -1.302020859 -13.97273149  -8.7481654
## 531   2.09433506  -8.79853102  -1.302020859 -13.97273149  -8.7481654
## 532   2.09433506  -8.79853102  -1.302020859 -13.97273149  -8.7481654
## 533   2.09433506  -8.79853102  -1.302020859 -13.97273149  -8.7481654
## 534   2.09433506  -8.79853102  -1.302020859 -13.97273149  -8.7481654
## 535   2.09433506  -8.79853102  -1.302020859 -13.97273149  -8.7481654
## 536   2.09433506  -8.79853102  -1.302020859 -13.97273149  -8.7481654
## 537  -8.58437061   5.68708473  -0.931527549 -29.23883972 -21.0840521
## 538  -8.58437061   5.68708473  -0.931527549 -29.23883972 -21.0840521
## 539  -8.58437061   5.68708473  -0.931527549 -29.23883972 -21.0840521
## 540  -8.58437061   5.68708473  -0.931527549 -29.23883972 -21.0840521
## 541  -8.58437061   5.68708473  -0.931527549 -29.23883972 -21.0840521
## 542  -8.58437061   5.68708473  -0.931527549 -29.23883972 -21.0840521
## 543  -8.58437061   5.68708473  -0.931527549 -29.23883972 -21.0840521
## 544  -8.58437061   5.68708473  -0.931527549 -29.23883972 -21.0840521
## 545   8.01658796   0.88252427  -2.663037155  -6.21477344   1.6523037
## 546   8.01658796   0.88252427  -2.663037155  -6.21477344   1.6523037
## 547   8.01658796   0.88252427  -2.663037155  -6.21477344   1.6523037
## 548   8.01658796   0.88252427  -2.663037155  -6.21477344   1.6523037
## 549   8.01658796   0.88252427  -2.663037155  -6.21477344   1.6523037
## 550   8.01658796   0.88252427  -2.663037155  -6.21477344   1.6523037
## 551   8.01658796   0.88252427  -2.663037155  -6.21477344   1.6523037
## 552   8.01658796   0.88252427  -2.663037155  -6.21477344   1.6523037
## 553  24.49247866   5.61116123   3.008832899  -3.25029731 -18.4941551
## 554  24.49247866   5.61116123   3.008832899  -3.25029731 -18.4941551
## 555  24.49247866   5.61116123   3.008832899  -3.25029731 -18.4941551
## 556  24.49247866   5.61116123   3.008832899  -3.25029731 -18.4941551
## 557  24.49247866   5.61116123   3.008832899  -3.25029731 -18.4941551
## 558  24.49247866   5.61116123   3.008832899  -3.25029731 -18.4941551
## 559  24.49247866   5.61116123   3.008832899  -3.25029731 -18.4941551
## 560  24.49247866   5.61116123   3.008832899  -3.25029731 -18.4941551
## 561  -4.98623007   4.75840141  -3.823697845  18.78499484   1.3267333
## 562  -4.98623007   4.75840141  -3.823697845  18.78499484   1.3267333
## 563  -4.98623007   4.75840141  -3.823697845  18.78499484   1.3267333
## 564  -4.98623007   4.75840141  -3.823697845  18.78499484   1.3267333
## 565  -4.98623007   4.75840141  -3.823697845  18.78499484   1.3267333
## 566  -4.98623007   4.75840141  -3.823697845  18.78499484   1.3267333
## 567  -4.98623007   4.75840141  -3.823697845  18.78499484   1.3267333
## 568  -4.98623007   4.75840141  -3.823697845  18.78499484   1.3267333
## 569  -5.67767835  -1.34485025   1.919400395   0.22451705  -1.0402740
## 570  -5.67767835  -1.34485025   1.919400395   0.22451705  -1.0402740
## 571  -5.67767835  -1.34485025   1.919400395   0.22451705  -1.0402740
## 572  -5.67767835  -1.34485025   1.919400395   0.22451705  -1.0402740
## 573  -5.67767835  -1.34485025   1.919400395   0.22451705  -1.0402740
## 574  -5.67767835  -1.34485025   1.919400395   0.22451705  -1.0402740
## 575  -5.67767835  -1.34485025   1.919400395   0.22451705  -1.0402740
## 576  -5.67767835  -1.34485025   1.919400395   0.22451705  -1.0402740
## 577 -12.96884929  13.87079683  -0.008735492  12.11484068  -0.7532876
## 578 -12.96884929  13.87079683  -0.008735492  12.11484068  -0.7532876
## 579 -12.96884929  13.87079683  -0.008735492  12.11484068  -0.7532876
## 580 -12.96884929  13.87079683  -0.008735492  12.11484068  -0.7532876
## 581 -12.96884929  13.87079683  -0.008735492  12.11484068  -0.7532876
## 582 -12.96884929  13.87079683  -0.008735492  12.11484068  -0.7532876
## 583 -12.96884929  13.87079683  -0.008735492  12.11484068  -0.7532876
## 584 -12.96884929  13.87079683  -0.008735492  12.11484068  -0.7532876
## 585   0.51842805  -0.20702745   5.776128353   0.25396131  -4.8154664
## 586   0.51842805  -0.20702745   5.776128353   0.25396131  -4.8154664
## 587   0.51842805  -0.20702745   5.776128353   0.25396131  -4.8154664
## 588   0.51842805  -0.20702745   5.776128353   0.25396131  -4.8154664
## 589   0.51842805  -0.20702745   5.776128353   0.25396131  -4.8154664
## 590   0.51842805  -0.20702745   5.776128353   0.25396131  -4.8154664
## 591   0.51842805  -0.20702745   5.776128353   0.25396131  -4.8154664
## 592   0.51842805  -0.20702745   5.776128353   0.25396131  -4.8154664
## 593  -1.11346053   8.60743951   2.109511782   3.99140781  -3.2885246
## 594  -1.11346053   8.60743951   2.109511782   3.99140781  -3.2885246
## 595  -1.11346053   8.60743951   2.109511782   3.99140781  -3.2885246
## 596  -1.11346053   8.60743951   2.109511782   3.99140781  -3.2885246
## 597  -1.11346053   8.60743951   2.109511782   3.99140781  -3.2885246
## 598  -1.11346053   8.60743951   2.109511782   3.99140781  -3.2885246
## 599  -1.11346053   8.60743951   2.109511782   3.99140781  -3.2885246
## 600  -1.11346053   8.60743951   2.109511782   3.99140781  -3.2885246
## 601   4.68848278   9.03987679   1.664868821   1.80423882  -7.5513063
## 602   4.68848278   9.03987679   1.664868821   1.80423882  -7.5513063
## 603   4.68848278   9.03987679   1.664868821   1.80423882  -7.5513063
## 604   4.68848278   9.03987679   1.664868821   1.80423882  -7.5513063
## 605   4.68848278   9.03987679   1.664868821   1.80423882  -7.5513063
## 606   4.68848278   9.03987679   1.664868821   1.80423882  -7.5513063
## 607   4.68848278   9.03987679   1.664868821   1.80423882  -7.5513063
## 608   4.68848278   9.03987679   1.664868821   1.80423882  -7.5513063
## 609   0.05903760   1.08935083   0.062388820   1.54538172   2.5898737
## 610   0.05903760   1.08935083   0.062388820   1.54538172   2.5898737
## 611   0.05903760   1.08935083   0.062388820   1.54538172   2.5898737
## 612   0.05903760   1.08935083   0.062388820   1.54538172   2.5898737
## 613   0.05903760   1.08935083   0.062388820   1.54538172   2.5898737
## 614   0.05903760   1.08935083   0.062388820   1.54538172   2.5898737
## 615   0.05903760   1.08935083   0.062388820   1.54538172   2.5898737
## 616   0.05903760   1.08935083   0.062388820   1.54538172   2.5898737
## 617  -9.72702685  21.66255821 -19.053983822   6.65875959  15.8226550
## 618  -9.72702685  21.66255821 -19.053983822   6.65875959  15.8226550
## 619  -9.72702685  21.66255821 -19.053983822   6.65875959  15.8226550
## 620  -9.72702685  21.66255821 -19.053983822   6.65875959  15.8226550
## 621  -9.72702685  21.66255821 -19.053983822   6.65875959  15.8226550
## 622  -9.72702685  21.66255821 -19.053983822   6.65875959  15.8226550
## 623  -9.72702685  21.66255821 -19.053983822   6.65875959  15.8226550
## 624  -9.72702685  21.66255821 -19.053983822   6.65875959  15.8226550
## 625   7.40119446  12.92963420  16.119049693   8.93561250   9.3796666
## 626   7.40119446  12.92963420  16.119049693   8.93561250   9.3796666
## 627   7.40119446  12.92963420  16.119049693   8.93561250   9.3796666
## 628   7.40119446  12.92963420  16.119049693   8.93561250   9.3796666
## 629   7.40119446  12.92963420  16.119049693   8.93561250   9.3796666
## 630   7.40119446  12.92963420  16.119049693   8.93561250   9.3796666
## 631   7.40119446  12.92963420  16.119049693   8.93561250   9.3796666
## 632   7.40119446  12.92963420  16.119049693   8.93561250   9.3796666
## 633   3.95244382   9.11223804  -4.887927263   1.33745861  10.2296127
## 634   3.95244382   9.11223804  -4.887927263   1.33745861  10.2296127
## 635   3.95244382   9.11223804  -4.887927263   1.33745861  10.2296127
## 636   3.95244382   9.11223804  -4.887927263   1.33745861  10.2296127
## 637   3.95244382   9.11223804  -4.887927263   1.33745861  10.2296127
## 638   3.95244382   9.11223804  -4.887927263   1.33745861  10.2296127
## 639   3.95244382   9.11223804  -4.887927263   1.33745861  10.2296127
## 640   3.95244382   9.11223804  -4.887927263   1.33745861  10.2296127
## 641   4.01773834   2.70601277  -2.375860502  -5.08875986   4.7901178
## 642   4.01773834   2.70601277  -2.375860502  -5.08875986   4.7901178
## 643   4.01773834   2.70601277  -2.375860502  -5.08875986   4.7901178
## 644   4.01773834   2.70601277  -2.375860502  -5.08875986   4.7901178
## 645   4.01773834   2.70601277  -2.375860502  -5.08875986   4.7901178
## 646   4.01773834   2.70601277  -2.375860502  -5.08875986   4.7901178
## 647   4.01773834   2.70601277  -2.375860502  -5.08875986   4.7901178
## 648   4.01773834   2.70601277  -2.375860502  -5.08875986   4.7901178
## 649 -17.36073304   7.62535794   5.078476927  18.92715820  -9.2221835
## 650 -17.36073304   7.62535794   5.078476927  18.92715820  -9.2221835
## 651 -17.36073304   7.62535794   5.078476927  18.92715820  -9.2221835
## 652 -17.36073304   7.62535794   5.078476927  18.92715820  -9.2221835
## 653 -17.36073304   7.62535794   5.078476927  18.92715820  -9.2221835
## 654 -17.36073304   7.62535794   5.078476927  18.92715820  -9.2221835
## 655 -17.36073304   7.62535794   5.078476927  18.92715820  -9.2221835
## 656 -17.36073304   7.62535794   5.078476927  18.92715820  -9.2221835
## 657  36.08765890 -47.02798610 -31.001962851 -22.89907745  -9.2817230
## 658  36.08765890 -47.02798610 -31.001962851 -22.89907745  -9.2817230
## 659  36.08765890 -47.02798610 -31.001962851 -22.89907745  -9.2817230
## 660  36.08765890 -47.02798610 -31.001962851 -22.89907745  -9.2817230
## 661  36.08765890 -47.02798610 -31.001962851 -22.89907745  -9.2817230
## 662  36.08765890 -47.02798610 -31.001962851 -22.89907745  -9.2817230
## 663  36.08765890 -47.02798610 -31.001962851 -22.89907745  -9.2817230
## 664  36.08765890 -47.02798610 -31.001962851 -22.89907745  -9.2817230
## 665  -7.47826597  14.82312642  12.511163067   6.37191576  10.3912064
## 666  -7.47826597  14.82312642  12.511163067   6.37191576  10.3912064
## 667  -7.47826597  14.82312642  12.511163067   6.37191576  10.3912064
## 668  -7.47826597  14.82312642  12.511163067   6.37191576  10.3912064
## 669  -7.47826597  14.82312642  12.511163067   6.37191576  10.3912064
## 670  -7.47826597  14.82312642  12.511163067   6.37191576  10.3912064
## 671  -7.47826597  14.82312642  12.511163067   6.37191576  10.3912064
## 672  -7.47826597  14.82312642  12.511163067   6.37191576  10.3912064
## 673  -0.37462424   6.48035561   7.267521716   6.42936936   0.4813220
## 674  -0.37462424   6.48035561   7.267521716   6.42936936   0.4813220
## 675  -0.37462424   6.48035561   7.267521716   6.42936936   0.4813220
## 676  -0.37462424   6.48035561   7.267521716   6.42936936   0.4813220
## 677  -0.37462424   6.48035561   7.267521716   6.42936936   0.4813220
## 678  -0.37462424   6.48035561   7.267521716   6.42936936   0.4813220
## 679  -0.37462424   6.48035561   7.267521716   6.42936936   0.4813220
## 680  -0.37462424   6.48035561   7.267521716   6.42936936   0.4813220
## 681 -17.35509081   4.11433887 -10.677105995  -2.45799704  -7.0444054
## 682 -17.35509081   4.11433887 -10.677105995  -2.45799704  -7.0444054
## 683 -17.35509081   4.11433887 -10.677105995  -2.45799704  -7.0444054
## 684 -17.35509081   4.11433887 -10.677105995  -2.45799704  -7.0444054
## 685 -17.35509081   4.11433887 -10.677105995  -2.45799704  -7.0444054
## 686 -17.35509081   4.11433887 -10.677105995  -2.45799704  -7.0444054
## 687 -17.35509081   4.11433887 -10.677105995  -2.45799704  -7.0444054
## 688 -17.35509081   4.11433887 -10.677105995  -2.45799704  -7.0444054
## 689  -1.39240941   1.65322377   3.327149279  -1.39466055   1.7794294
## 690  -1.39240941   1.65322377   3.327149279  -1.39466055   1.7794294
## 691  -1.39240941   1.65322377   3.327149279  -1.39466055   1.7794294
## 692  -1.39240941   1.65322377   3.327149279  -1.39466055   1.7794294
## 693  -1.39240941   1.65322377   3.327149279  -1.39466055   1.7794294
## 694  -1.39240941   1.65322377   3.327149279  -1.39466055   1.7794294
## 695  -1.39240941   1.65322377   3.327149279  -1.39466055   1.7794294
## 696  -1.39240941   1.65322377   3.327149279  -1.39466055   1.7794294
## 697  12.95136444 -36.66680277  15.022919447 -14.97540777  25.6203415
## 698  12.95136444 -36.66680277  15.022919447 -14.97540777  25.6203415
## 699  12.95136444 -36.66680277  15.022919447 -14.97540777  25.6203415
## 700  12.95136444 -36.66680277  15.022919447 -14.97540777  25.6203415
## 701  12.95136444 -36.66680277  15.022919447 -14.97540777  25.6203415
## 702  12.95136444 -36.66680277  15.022919447 -14.97540777  25.6203415
## 703  12.95136444 -36.66680277  15.022919447 -14.97540777  25.6203415
## 704  12.95136444 -36.66680277  15.022919447 -14.97540777  25.6203415
## 705   1.23139325   1.26701121   1.703470726  -1.38938461  -2.6703454
## 706   1.23139325   1.26701121   1.703470726  -1.38938461  -2.6703454
## 707   1.23139325   1.26701121   1.703470726  -1.38938461  -2.6703454
## 708   1.23139325   1.26701121   1.703470726  -1.38938461  -2.6703454
## 709   1.23139325   1.26701121   1.703470726  -1.38938461  -2.6703454
## 710   1.23139325   1.26701121   1.703470726  -1.38938461  -2.6703454
## 711   1.23139325   1.26701121   1.703470726  -1.38938461  -2.6703454
## 712   1.23139325   1.26701121   1.703470726  -1.38938461  -2.6703454
## 713  -5.78589841   2.91649533   8.806403630   0.16101465  -7.4252592
## 714  -5.78589841   2.91649533   8.806403630   0.16101465  -7.4252592
## 715  -5.78589841   2.91649533   8.806403630   0.16101465  -7.4252592
## 716  -5.78589841   2.91649533   8.806403630   0.16101465  -7.4252592
## 717  -5.78589841   2.91649533   8.806403630   0.16101465  -7.4252592
## 718  -5.78589841   2.91649533   8.806403630   0.16101465  -7.4252592
## 719  -5.78589841   2.91649533   8.806403630   0.16101465  -7.4252592
## 720  -5.78589841   2.91649533   8.806403630   0.16101465  -7.4252592
## 721  -1.33169721  -1.02580526  -4.564695136   4.51973697   3.6644417
## 722  -1.33169721  -1.02580526  -4.564695136   4.51973697   3.6644417
## 723  -1.33169721  -1.02580526  -4.564695136   4.51973697   3.6644417
## 724  -1.33169721  -1.02580526  -4.564695136   4.51973697   3.6644417
## 725  -1.33169721  -1.02580526  -4.564695136   4.51973697   3.6644417
## 726  -1.33169721  -1.02580526  -4.564695136   4.51973697   3.6644417
## 727  -1.33169721  -1.02580526  -4.564695136   4.51973697   3.6644417
## 728  -1.33169721  -1.02580526  -4.564695136   4.51973697   3.6644417
## 729  -3.26821289   0.78720295  -8.634911136  -2.65686500  -0.5243517
## 730  -3.26821289   0.78720295  -8.634911136  -2.65686500  -0.5243517
## 731  -3.26821289   0.78720295  -8.634911136  -2.65686500  -0.5243517
## 732  -3.26821289   0.78720295  -8.634911136  -2.65686500  -0.5243517
## 733  -3.26821289   0.78720295  -8.634911136  -2.65686500  -0.5243517
## 734  -3.26821289   0.78720295  -8.634911136  -2.65686500  -0.5243517
## 735  -3.26821289   0.78720295  -8.634911136  -2.65686500  -0.5243517
## 736  -3.26821289   0.78720295  -8.634911136  -2.65686500  -0.5243517
## 737  -0.95093180  -7.03359189   3.545178571   5.04575653   1.0931452
## 738  -0.95093180  -7.03359189   3.545178571   5.04575653   1.0931452
## 739  -0.95093180  -7.03359189   3.545178571   5.04575653   1.0931452
## 740  -0.95093180  -7.03359189   3.545178571   5.04575653   1.0931452
## 741  -0.95093180  -7.03359189   3.545178571   5.04575653   1.0931452
## 742  -0.95093180  -7.03359189   3.545178571   5.04575653   1.0931452
## 743  -0.95093180  -7.03359189   3.545178571   5.04575653   1.0931452
## 744  -0.95093180  -7.03359189   3.545178571   5.04575653   1.0931452
## 745   0.98604035   2.32327430  10.299125522   2.29250521   2.6041988
## 746   0.98604035   2.32327430  10.299125522   2.29250521   2.6041988
## 747   0.98604035   2.32327430  10.299125522   2.29250521   2.6041988
## 748   0.98604035   2.32327430  10.299125522   2.29250521   2.6041988
## 749   0.98604035   2.32327430  10.299125522   2.29250521   2.6041988
## 750   0.98604035   2.32327430  10.299125522   2.29250521   2.6041988
## 751   0.98604035   2.32327430  10.299125522   2.29250521   2.6041988
## 752   0.98604035   2.32327430  10.299125522   2.29250521   2.6041988
## 753  11.37829252  12.98751888  10.604369058  12.45354271   1.3633266
## 754  11.37829252  12.98751888  10.604369058  12.45354271   1.3633266
## 755  11.37829252  12.98751888  10.604369058  12.45354271   1.3633266
## 756  11.37829252  12.98751888  10.604369058  12.45354271   1.3633266
## 757  11.37829252  12.98751888  10.604369058  12.45354271   1.3633266
## 758  11.37829252  12.98751888  10.604369058  12.45354271   1.3633266
## 759  11.37829252  12.98751888  10.604369058  12.45354271   1.3633266
## 760  11.37829252  12.98751888  10.604369058  12.45354271   1.3633266
## 761   0.32790375  -5.56693347   9.841365404  -1.52474392   7.5184038
## 762   0.32790375  -5.56693347   9.841365404  -1.52474392   7.5184038
## 763   0.32790375  -5.56693347   9.841365404  -1.52474392   7.5184038
## 764   0.32790375  -5.56693347   9.841365404  -1.52474392   7.5184038
## 765   0.32790375  -5.56693347   9.841365404  -1.52474392   7.5184038
## 766   0.32790375  -5.56693347   9.841365404  -1.52474392   7.5184038
## 767   0.32790375  -5.56693347   9.841365404  -1.52474392   7.5184038
## 768   0.32790375  -5.56693347   9.841365404  -1.52474392   7.5184038
## 769 -11.87042788  -4.75473327  17.203460657  11.12597696   2.5706674
## 770 -11.87042788  -4.75473327  17.203460657  11.12597696   2.5706674
## 771 -11.87042788  -4.75473327  17.203460657  11.12597696   2.5706674
## 772 -11.87042788  -4.75473327  17.203460657  11.12597696   2.5706674
## 773 -11.87042788  -4.75473327  17.203460657  11.12597696   2.5706674
## 774 -11.87042788  -4.75473327  17.203460657  11.12597696   2.5706674
## 775 -11.87042788  -4.75473327  17.203460657  11.12597696   2.5706674
## 776 -11.87042788  -4.75473327  17.203460657  11.12597696   2.5706674
## 777  31.23975266   1.69415332  12.190836745  -0.45107374 -44.5168638
## 778  31.23975266   1.69415332  12.190836745  -0.45107374 -44.5168638
## 779  31.23975266   1.69415332  12.190836745  -0.45107374 -44.5168638
## 780  31.23975266   1.69415332  12.190836745  -0.45107374 -44.5168638
## 781  31.23975266   1.69415332  12.190836745  -0.45107374 -44.5168638
## 782  31.23975266   1.69415332  12.190836745  -0.45107374 -44.5168638
## 783  31.23975266   1.69415332  12.190836745  -0.45107374 -44.5168638
## 784  31.23975266   1.69415332  12.190836745  -0.45107374 -44.5168638
## 785   4.25199670   2.21311466  -3.608575865   0.31456687  -8.5651866
## 786   4.25199670   2.21311466  -3.608575865   0.31456687  -8.5651866
## 787   4.25199670   2.21311466  -3.608575865   0.31456687  -8.5651866
## 788   4.25199670   2.21311466  -3.608575865   0.31456687  -8.5651866
## 789   4.25199670   2.21311466  -3.608575865   0.31456687  -8.5651866
## 790   4.25199670   2.21311466  -3.608575865   0.31456687  -8.5651866
## 791   4.25199670   2.21311466  -3.608575865   0.31456687  -8.5651866
## 792   4.25199670   2.21311466  -3.608575865   0.31456687  -8.5651866
## 793  -2.66041789  -1.16403624 -15.369294474  -7.29775393  10.2052013
## 794  -2.66041789  -1.16403624 -15.369294474  -7.29775393  10.2052013
## 795  -2.66041789  -1.16403624 -15.369294474  -7.29775393  10.2052013
## 796  -2.66041789  -1.16403624 -15.369294474  -7.29775393  10.2052013
## 797  -2.66041789  -1.16403624 -15.369294474  -7.29775393  10.2052013
## 798  -2.66041789  -1.16403624 -15.369294474  -7.29775393  10.2052013
## 799  -2.66041789  -1.16403624 -15.369294474  -7.29775393  10.2052013
##       PC48_score  PC49_score  PC50_score    PC51_score   PC52_score
## 1    -7.40795133   1.1267371  -0.2038719   1.813502125   5.39306945
## 2    -7.40795133   1.1267371  -0.2038719   1.813502125   5.39306945
## 3    -7.40795133   1.1267371  -0.2038719   1.813502125   5.39306945
## 4    -7.40795133   1.1267371  -0.2038719   1.813502125   5.39306945
## 5    -7.40795133   1.1267371  -0.2038719   1.813502125   5.39306945
## 6    -7.40795133   1.1267371  -0.2038719   1.813502125   5.39306945
## 7    -7.40795133   1.1267371  -0.2038719   1.813502125   5.39306945
## 8    -7.40795133   1.1267371  -0.2038719   1.813502125   5.39306945
## 9    -5.78605659  -5.5890871  -0.5274712  -2.111850087  -2.77873522
## 10   -5.78605659  -5.5890871  -0.5274712  -2.111850087  -2.77873522
## 11   -5.78605659  -5.5890871  -0.5274712  -2.111850087  -2.77873522
## 12   -5.78605659  -5.5890871  -0.5274712  -2.111850087  -2.77873522
## 13   -5.78605659  -5.5890871  -0.5274712  -2.111850087  -2.77873522
## 14   -5.78605659  -5.5890871  -0.5274712  -2.111850087  -2.77873522
## 15   -5.78605659  -5.5890871  -0.5274712  -2.111850087  -2.77873522
## 16   -5.78605659  -5.5890871  -0.5274712  -2.111850087  -2.77873522
## 17   14.67304311 -21.5773289  10.7871279 -16.151350356  10.25049674
## 18   14.67304311 -21.5773289  10.7871279 -16.151350356  10.25049674
## 19   14.67304311 -21.5773289  10.7871279 -16.151350356  10.25049674
## 20   14.67304311 -21.5773289  10.7871279 -16.151350356  10.25049674
## 21   14.67304311 -21.5773289  10.7871279 -16.151350356  10.25049674
## 22   14.67304311 -21.5773289  10.7871279 -16.151350356  10.25049674
## 23   14.67304311 -21.5773289  10.7871279 -16.151350356  10.25049674
## 24   14.67304311 -21.5773289  10.7871279 -16.151350356  10.25049674
## 25  -10.23329114 -40.4424275 -39.9928677 -17.166504260  23.71356288
## 26  -10.23329114 -40.4424275 -39.9928677 -17.166504260  23.71356288
## 27  -10.23329114 -40.4424275 -39.9928677 -17.166504260  23.71356288
## 28  -10.23329114 -40.4424275 -39.9928677 -17.166504260  23.71356288
## 29  -10.23329114 -40.4424275 -39.9928677 -17.166504260  23.71356288
## 30  -10.23329114 -40.4424275 -39.9928677 -17.166504260  23.71356288
## 31  -10.23329114 -40.4424275 -39.9928677 -17.166504260  23.71356288
## 32  -10.23329114 -40.4424275 -39.9928677 -17.166504260  23.71356288
## 33   14.10470894   1.4785556 -12.4506423   0.782386118  -7.53007782
## 34   14.10470894   1.4785556 -12.4506423   0.782386118  -7.53007782
## 35   14.10470894   1.4785556 -12.4506423   0.782386118  -7.53007782
## 36   14.10470894   1.4785556 -12.4506423   0.782386118  -7.53007782
## 37   14.10470894   1.4785556 -12.4506423   0.782386118  -7.53007782
## 38   14.10470894   1.4785556 -12.4506423   0.782386118  -7.53007782
## 39   14.10470894   1.4785556 -12.4506423   0.782386118  -7.53007782
## 40   14.10470894   1.4785556 -12.4506423   0.782386118  -7.53007782
## 41   -1.94144247  -3.2349079  -5.7706157   0.186559494   4.17645395
## 42   -1.94144247  -3.2349079  -5.7706157   0.186559494   4.17645395
## 43   -1.94144247  -3.2349079  -5.7706157   0.186559494   4.17645395
## 44   -1.94144247  -3.2349079  -5.7706157   0.186559494   4.17645395
## 45   -1.94144247  -3.2349079  -5.7706157   0.186559494   4.17645395
## 46   -1.94144247  -3.2349079  -5.7706157   0.186559494   4.17645395
## 47   -1.94144247  -3.2349079  -5.7706157   0.186559494   4.17645395
## 48   -1.94144247  -3.2349079  -5.7706157   0.186559494   4.17645395
## 49   12.08911127  -4.8841024  11.7561250  -5.572095562  -1.81617176
## 50   12.08911127  -4.8841024  11.7561250  -5.572095562  -1.81617176
## 51   12.08911127  -4.8841024  11.7561250  -5.572095562  -1.81617176
## 52   12.08911127  -4.8841024  11.7561250  -5.572095562  -1.81617176
## 53   12.08911127  -4.8841024  11.7561250  -5.572095562  -1.81617176
## 54   12.08911127  -4.8841024  11.7561250  -5.572095562  -1.81617176
## 55   12.08911127  -4.8841024  11.7561250  -5.572095562  -1.81617176
## 56   12.08911127  -4.8841024  11.7561250  -5.572095562  -1.81617176
## 57   -2.95831855  -3.8978300  -3.0808101  10.224804249 -38.61528140
## 58   -2.95831855  -3.8978300  -3.0808101  10.224804249 -38.61528140
## 59   -2.95831855  -3.8978300  -3.0808101  10.224804249 -38.61528140
## 60   -2.95831855  -3.8978300  -3.0808101  10.224804249 -38.61528140
## 61   -2.95831855  -3.8978300  -3.0808101  10.224804249 -38.61528140
## 62   -2.95831855  -3.8978300  -3.0808101  10.224804249 -38.61528140
## 63   -2.95831855  -3.8978300  -3.0808101  10.224804249 -38.61528140
## 64   -2.95831855  -3.8978300  -3.0808101  10.224804249 -38.61528140
## 65  -31.46813866 -32.0875292  23.4991646 -16.061822581 -20.04460285
## 66  -31.46813866 -32.0875292  23.4991646 -16.061822581 -20.04460285
## 67  -31.46813866 -32.0875292  23.4991646 -16.061822581 -20.04460285
## 68  -31.46813866 -32.0875292  23.4991646 -16.061822581 -20.04460285
## 69  -31.46813866 -32.0875292  23.4991646 -16.061822581 -20.04460285
## 70  -31.46813866 -32.0875292  23.4991646 -16.061822581 -20.04460285
## 71  -31.46813866 -32.0875292  23.4991646 -16.061822581 -20.04460285
## 72  -31.46813866 -32.0875292  23.4991646 -16.061822581 -20.04460285
## 73  -26.12112043   4.7191204 -18.0727273  16.991352753   1.40158782
## 74  -26.12112043   4.7191204 -18.0727273  16.991352753   1.40158782
## 75  -26.12112043   4.7191204 -18.0727273  16.991352753   1.40158782
## 76  -26.12112043   4.7191204 -18.0727273  16.991352753   1.40158782
## 77  -26.12112043   4.7191204 -18.0727273  16.991352753   1.40158782
## 78  -26.12112043   4.7191204 -18.0727273  16.991352753   1.40158782
## 79  -26.12112043   4.7191204 -18.0727273  16.991352753   1.40158782
## 80  -26.12112043   4.7191204 -18.0727273  16.991352753   1.40158782
## 81   -3.69726284  -0.3753931  -5.2005831   3.239602297  11.24655902
## 82   -3.69726284  -0.3753931  -5.2005831   3.239602297  11.24655902
## 83   -3.69726284  -0.3753931  -5.2005831   3.239602297  11.24655902
## 84   -3.69726284  -0.3753931  -5.2005831   3.239602297  11.24655902
## 85   -3.69726284  -0.3753931  -5.2005831   3.239602297  11.24655902
## 86   -3.69726284  -0.3753931  -5.2005831   3.239602297  11.24655902
## 87   -3.69726284  -0.3753931  -5.2005831   3.239602297  11.24655902
## 88   -3.69726284  -0.3753931  -5.2005831   3.239602297  11.24655902
## 89    5.19510095   8.6805137  11.1104299  -5.342902567  12.19729443
## 90    5.19510095   8.6805137  11.1104299  -5.342902567  12.19729443
## 91    5.19510095   8.6805137  11.1104299  -5.342902567  12.19729443
## 92    5.19510095   8.6805137  11.1104299  -5.342902567  12.19729443
## 93    5.19510095   8.6805137  11.1104299  -5.342902567  12.19729443
## 94    5.19510095   8.6805137  11.1104299  -5.342902567  12.19729443
## 95    5.19510095   8.6805137  11.1104299  -5.342902567  12.19729443
## 96    5.19510095   8.6805137  11.1104299  -5.342902567  12.19729443
## 97    3.63093740  47.9069494  24.5865608  40.230104565  15.45924083
## 98    3.63093740  47.9069494  24.5865608  40.230104565  15.45924083
## 99    3.63093740  47.9069494  24.5865608  40.230104565  15.45924083
## 100   3.63093740  47.9069494  24.5865608  40.230104565  15.45924083
## 101   3.63093740  47.9069494  24.5865608  40.230104565  15.45924083
## 102   3.63093740  47.9069494  24.5865608  40.230104565  15.45924083
## 103   3.63093740  47.9069494  24.5865608  40.230104565  15.45924083
## 104   3.63093740  47.9069494  24.5865608  40.230104565  15.45924083
## 105  -0.05743760  -2.2577160  -8.2049298   3.047975367  -4.63809507
## 106  -0.05743760  -2.2577160  -8.2049298   3.047975367  -4.63809507
## 107  -0.05743760  -2.2577160  -8.2049298   3.047975367  -4.63809507
## 108  -0.05743760  -2.2577160  -8.2049298   3.047975367  -4.63809507
## 109  -0.05743760  -2.2577160  -8.2049298   3.047975367  -4.63809507
## 110  -0.05743760  -2.2577160  -8.2049298   3.047975367  -4.63809507
## 111  -0.05743760  -2.2577160  -8.2049298   3.047975367  -4.63809507
## 112  -0.05743760  -2.2577160  -8.2049298   3.047975367  -4.63809507
## 113  -2.40877503  -0.8448478   2.5629348   6.475113263   0.71491241
## 114  -2.40877503  -0.8448478   2.5629348   6.475113263   0.71491241
## 115  -2.40877503  -0.8448478   2.5629348   6.475113263   0.71491241
## 116  -2.40877503  -0.8448478   2.5629348   6.475113263   0.71491241
## 117  -2.40877503  -0.8448478   2.5629348   6.475113263   0.71491241
## 118  -2.40877503  -0.8448478   2.5629348   6.475113263   0.71491241
## 119  -2.40877503  -0.8448478   2.5629348   6.475113263   0.71491241
## 120  -2.40877503  -0.8448478   2.5629348   6.475113263   0.71491241
## 121  28.93278302  10.2537367   9.3065797  24.539578106 -27.14084377
## 122  28.93278302  10.2537367   9.3065797  24.539578106 -27.14084377
## 123  28.93278302  10.2537367   9.3065797  24.539578106 -27.14084377
## 124  28.93278302  10.2537367   9.3065797  24.539578106 -27.14084377
## 125  28.93278302  10.2537367   9.3065797  24.539578106 -27.14084377
## 126  28.93278302  10.2537367   9.3065797  24.539578106 -27.14084377
## 127  28.93278302  10.2537367   9.3065797  24.539578106 -27.14084377
## 128  28.93278302  10.2537367   9.3065797  24.539578106 -27.14084377
## 129   2.76716481  43.7660174   1.5616466  -9.465559941  15.02028460
## 130   2.76716481  43.7660174   1.5616466  -9.465559941  15.02028460
## 131   2.76716481  43.7660174   1.5616466  -9.465559941  15.02028460
## 132   2.76716481  43.7660174   1.5616466  -9.465559941  15.02028460
## 133   2.76716481  43.7660174   1.5616466  -9.465559941  15.02028460
## 134   2.76716481  43.7660174   1.5616466  -9.465559941  15.02028460
## 135   2.76716481  43.7660174   1.5616466  -9.465559941  15.02028460
## 136   2.76716481  43.7660174   1.5616466  -9.465559941  15.02028460
## 137   2.76198842   1.4324900   1.0571717  -0.898172636  -4.46707891
## 138   2.76198842   1.4324900   1.0571717  -0.898172636  -4.46707891
## 139   2.76198842   1.4324900   1.0571717  -0.898172636  -4.46707891
## 140   2.76198842   1.4324900   1.0571717  -0.898172636  -4.46707891
## 141   2.76198842   1.4324900   1.0571717  -0.898172636  -4.46707891
## 142   2.76198842   1.4324900   1.0571717  -0.898172636  -4.46707891
## 143   2.76198842   1.4324900   1.0571717  -0.898172636  -4.46707891
## 144   2.76198842   1.4324900   1.0571717  -0.898172636  -4.46707891
## 145  -7.28968322   5.6511794 -21.2129130  -6.044327015  20.61144050
## 146  -7.28968322   5.6511794 -21.2129130  -6.044327015  20.61144050
## 147  -7.28968322   5.6511794 -21.2129130  -6.044327015  20.61144050
## 148  -7.28968322   5.6511794 -21.2129130  -6.044327015  20.61144050
## 149  -7.28968322   5.6511794 -21.2129130  -6.044327015  20.61144050
## 150  -7.28968322   5.6511794 -21.2129130  -6.044327015  20.61144050
## 151  -7.28968322   5.6511794 -21.2129130  -6.044327015  20.61144050
## 152  -7.28968322   5.6511794 -21.2129130  -6.044327015  20.61144050
## 153   0.20886520   0.5681308  -1.7773805   1.152466126   0.09027513
## 154   0.20886520   0.5681308  -1.7773805   1.152466126   0.09027513
## 155   0.20886520   0.5681308  -1.7773805   1.152466126   0.09027513
## 156   0.20886520   0.5681308  -1.7773805   1.152466126   0.09027513
## 157   0.20886520   0.5681308  -1.7773805   1.152466126   0.09027513
## 158   0.20886520   0.5681308  -1.7773805   1.152466126   0.09027513
## 159   0.20886520   0.5681308  -1.7773805   1.152466126   0.09027513
## 160   0.20886520   0.5681308  -1.7773805   1.152466126   0.09027513
## 161 -16.45017015   4.7281025   1.2505528   1.847699480  -3.52640575
## 162 -16.45017015   4.7281025   1.2505528   1.847699480  -3.52640575
## 163 -16.45017015   4.7281025   1.2505528   1.847699480  -3.52640575
## 164 -16.45017015   4.7281025   1.2505528   1.847699480  -3.52640575
## 165 -16.45017015   4.7281025   1.2505528   1.847699480  -3.52640575
## 166 -16.45017015   4.7281025   1.2505528   1.847699480  -3.52640575
## 167 -16.45017015   4.7281025   1.2505528   1.847699480  -3.52640575
## 168 -16.45017015   4.7281025   1.2505528   1.847699480  -3.52640575
## 169  -6.44645629  -0.8431642   2.3436191   7.018378789   3.28274090
## 170  -6.44645629  -0.8431642   2.3436191   7.018378789   3.28274090
## 171  -6.44645629  -0.8431642   2.3436191   7.018378789   3.28274090
## 172  -6.44645629  -0.8431642   2.3436191   7.018378789   3.28274090
## 173  -6.44645629  -0.8431642   2.3436191   7.018378789   3.28274090
## 174  -6.44645629  -0.8431642   2.3436191   7.018378789   3.28274090
## 175  -6.44645629  -0.8431642   2.3436191   7.018378789   3.28274090
## 176  -6.44645629  -0.8431642   2.3436191   7.018378789   3.28274090
## 177   1.46918952  -0.6018677   2.0874533   7.284897035  -1.73940719
## 178   1.46918952  -0.6018677   2.0874533   7.284897035  -1.73940719
## 179   1.46918952  -0.6018677   2.0874533   7.284897035  -1.73940719
## 180   1.46918952  -0.6018677   2.0874533   7.284897035  -1.73940719
## 181   1.46918952  -0.6018677   2.0874533   7.284897035  -1.73940719
## 182   1.46918952  -0.6018677   2.0874533   7.284897035  -1.73940719
## 183   1.46918952  -0.6018677   2.0874533   7.284897035  -1.73940719
## 184   1.46918952  -0.6018677   2.0874533   7.284897035  -1.73940719
## 185   1.84125628  -1.1879779   5.0535869  -2.593411894   2.97113352
## 186   1.84125628  -1.1879779   5.0535869  -2.593411894   2.97113352
## 187   1.84125628  -1.1879779   5.0535869  -2.593411894   2.97113352
## 188   1.84125628  -1.1879779   5.0535869  -2.593411894   2.97113352
## 189   1.84125628  -1.1879779   5.0535869  -2.593411894   2.97113352
## 190   1.84125628  -1.1879779   5.0535869  -2.593411894   2.97113352
## 191   1.84125628  -1.1879779   5.0535869  -2.593411894   2.97113352
## 192   1.84125628  -1.1879779   5.0535869  -2.593411894   2.97113352
## 193 -49.98811418  18.0212388  16.0706981 -17.150547530 -15.17688729
## 194 -49.98811418  18.0212388  16.0706981 -17.150547530 -15.17688729
## 195 -49.98811418  18.0212388  16.0706981 -17.150547530 -15.17688729
## 196 -49.98811418  18.0212388  16.0706981 -17.150547530 -15.17688729
## 197 -49.98811418  18.0212388  16.0706981 -17.150547530 -15.17688729
## 198 -49.98811418  18.0212388  16.0706981 -17.150547530 -15.17688729
## 199 -49.98811418  18.0212388  16.0706981 -17.150547530 -15.17688729
## 200 -49.98811418  18.0212388  16.0706981 -17.150547530 -15.17688729
## 201  -5.05228617  -0.7836800 -18.6335371   0.784691009  -3.67403808
## 202  -5.05228617  -0.7836800 -18.6335371   0.784691009  -3.67403808
## 203  -5.05228617  -0.7836800 -18.6335371   0.784691009  -3.67403808
## 204  -5.05228617  -0.7836800 -18.6335371   0.784691009  -3.67403808
## 205  -5.05228617  -0.7836800 -18.6335371   0.784691009  -3.67403808
## 206  -5.05228617  -0.7836800 -18.6335371   0.784691009  -3.67403808
## 207  -5.05228617  -0.7836800 -18.6335371   0.784691009  -3.67403808
## 208  -5.05228617  -0.7836800 -18.6335371   0.784691009  -3.67403808
## 209   3.37668143  -0.7504685  -1.6831911  -5.536827240  -1.47500975
## 210   3.37668143  -0.7504685  -1.6831911  -5.536827240  -1.47500975
## 211   3.37668143  -0.7504685  -1.6831911  -5.536827240  -1.47500975
## 212   3.37668143  -0.7504685  -1.6831911  -5.536827240  -1.47500975
## 213   3.37668143  -0.7504685  -1.6831911  -5.536827240  -1.47500975
## 214   3.37668143  -0.7504685  -1.6831911  -5.536827240  -1.47500975
## 215   3.37668143  -0.7504685  -1.6831911  -5.536827240  -1.47500975
## 216   3.37668143  -0.7504685  -1.6831911  -5.536827240  -1.47500975
## 217  -0.05562216  -0.1576671   1.1006629  -1.085182166  -1.23443021
## 218  -0.05562216  -0.1576671   1.1006629  -1.085182166  -1.23443021
## 219  -0.05562216  -0.1576671   1.1006629  -1.085182166  -1.23443021
## 220  -0.05562216  -0.1576671   1.1006629  -1.085182166  -1.23443021
## 221  -0.05562216  -0.1576671   1.1006629  -1.085182166  -1.23443021
## 222  -0.05562216  -0.1576671   1.1006629  -1.085182166  -1.23443021
## 223  -0.05562216  -0.1576671   1.1006629  -1.085182166  -1.23443021
## 224  -0.05562216  -0.1576671   1.1006629  -1.085182166  -1.23443021
## 225   3.95477205   3.8159973  -3.6370522  -1.431250888  -4.24093632
## 226   3.95477205   3.8159973  -3.6370522  -1.431250888  -4.24093632
## 227   3.95477205   3.8159973  -3.6370522  -1.431250888  -4.24093632
## 228   3.95477205   3.8159973  -3.6370522  -1.431250888  -4.24093632
## 229   3.95477205   3.8159973  -3.6370522  -1.431250888  -4.24093632
## 230   3.95477205   3.8159973  -3.6370522  -1.431250888  -4.24093632
## 231   3.95477205   3.8159973  -3.6370522  -1.431250888  -4.24093632
## 232   3.95477205   3.8159973  -3.6370522  -1.431250888  -4.24093632
## 233   1.12398437  -7.7928425 -16.7439478  -5.648530768  16.30953796
## 234   1.12398437  -7.7928425 -16.7439478  -5.648530768  16.30953796
## 235   1.12398437  -7.7928425 -16.7439478  -5.648530768  16.30953796
## 236   1.12398437  -7.7928425 -16.7439478  -5.648530768  16.30953796
## 237   1.12398437  -7.7928425 -16.7439478  -5.648530768  16.30953796
## 238   1.12398437  -7.7928425 -16.7439478  -5.648530768  16.30953796
## 239   1.12398437  -7.7928425 -16.7439478  -5.648530768  16.30953796
## 240   1.12398437  -7.7928425 -16.7439478  -5.648530768  16.30953796
## 241   7.75646720  15.4213796  -8.1722049  19.586084685  11.83322684
## 242   7.75646720  15.4213796  -8.1722049  19.586084685  11.83322684
## 243   7.75646720  15.4213796  -8.1722049  19.586084685  11.83322684
## 244   7.75646720  15.4213796  -8.1722049  19.586084685  11.83322684
## 245   7.75646720  15.4213796  -8.1722049  19.586084685  11.83322684
## 246   7.75646720  15.4213796  -8.1722049  19.586084685  11.83322684
## 247   7.75646720  15.4213796  -8.1722049  19.586084685  11.83322684
## 248   7.75646720  15.4213796  -8.1722049  19.586084685  11.83322684
## 249   7.72733597  11.4856372 -19.7463680 -12.569136817  -3.07754766
## 250   7.72733597  11.4856372 -19.7463680 -12.569136817  -3.07754766
## 251   7.72733597  11.4856372 -19.7463680 -12.569136817  -3.07754766
## 252   7.72733597  11.4856372 -19.7463680 -12.569136817  -3.07754766
## 253   7.72733597  11.4856372 -19.7463680 -12.569136817  -3.07754766
## 254   7.72733597  11.4856372 -19.7463680 -12.569136817  -3.07754766
## 255   7.72733597  11.4856372 -19.7463680 -12.569136817  -3.07754766
## 256   7.72733597  11.4856372 -19.7463680 -12.569136817  -3.07754766
## 257  -3.85369833   1.0907646  -1.7849061   2.349770468   1.51018484
## 258  -3.85369833   1.0907646  -1.7849061   2.349770468   1.51018484
## 259  -3.85369833   1.0907646  -1.7849061   2.349770468   1.51018484
## 260  -3.85369833   1.0907646  -1.7849061   2.349770468   1.51018484
## 261  -3.85369833   1.0907646  -1.7849061   2.349770468   1.51018484
## 262  -3.85369833   1.0907646  -1.7849061   2.349770468   1.51018484
## 263  -3.85369833   1.0907646  -1.7849061   2.349770468   1.51018484
## 264  -3.85369833   1.0907646  -1.7849061   2.349770468   1.51018484
## 265  55.81195151 -27.8802361  18.4775976  -4.664661293 -47.04679071
## 266  55.81195151 -27.8802361  18.4775976  -4.664661293 -47.04679071
## 267  55.81195151 -27.8802361  18.4775976  -4.664661293 -47.04679071
## 268  55.81195151 -27.8802361  18.4775976  -4.664661293 -47.04679071
## 269  55.81195151 -27.8802361  18.4775976  -4.664661293 -47.04679071
## 270  55.81195151 -27.8802361  18.4775976  -4.664661293 -47.04679071
## 271  55.81195151 -27.8802361  18.4775976  -4.664661293 -47.04679071
## 272  55.81195151 -27.8802361  18.4775976  -4.664661293 -47.04679071
## 273   3.30109266  44.3503759 -17.6089239  -0.800368300  -6.73601011
## 274   3.30109266  44.3503759 -17.6089239  -0.800368300  -6.73601011
## 275   3.30109266  44.3503759 -17.6089239  -0.800368300  -6.73601011
## 276   3.30109266  44.3503759 -17.6089239  -0.800368300  -6.73601011
## 277   3.30109266  44.3503759 -17.6089239  -0.800368300  -6.73601011
## 278   3.30109266  44.3503759 -17.6089239  -0.800368300  -6.73601011
## 279   3.30109266  44.3503759 -17.6089239  -0.800368300  -6.73601011
## 280   3.30109266  44.3503759 -17.6089239  -0.800368300  -6.73601011
## 281 -27.92301620  10.7588598  24.0809142 -14.522670814 -24.22957163
## 282 -27.92301620  10.7588598  24.0809142 -14.522670814 -24.22957163
## 283 -27.92301620  10.7588598  24.0809142 -14.522670814 -24.22957163
## 284 -27.92301620  10.7588598  24.0809142 -14.522670814 -24.22957163
## 285 -27.92301620  10.7588598  24.0809142 -14.522670814 -24.22957163
## 286 -27.92301620  10.7588598  24.0809142 -14.522670814 -24.22957163
## 287 -27.92301620  10.7588598  24.0809142 -14.522670814 -24.22957163
## 288 -27.92301620  10.7588598  24.0809142 -14.522670814 -24.22957163
## 289   1.83385360   0.1799231   1.4084115  11.531883978  -5.90513294
## 290   1.83385360   0.1799231   1.4084115  11.531883978  -5.90513294
## 291   1.83385360   0.1799231   1.4084115  11.531883978  -5.90513294
## 292   1.83385360   0.1799231   1.4084115  11.531883978  -5.90513294
## 293   1.83385360   0.1799231   1.4084115  11.531883978  -5.90513294
## 294   1.83385360   0.1799231   1.4084115  11.531883978  -5.90513294
## 295   1.83385360   0.1799231   1.4084115  11.531883978  -5.90513294
## 296   1.83385360   0.1799231   1.4084115  11.531883978  -5.90513294
## 297  -0.95676431   1.1719267  -0.2252677  -1.004734460  -8.41288680
## 298  -0.95676431   1.1719267  -0.2252677  -1.004734460  -8.41288680
## 299  -0.95676431   1.1719267  -0.2252677  -1.004734460  -8.41288680
## 300  -0.95676431   1.1719267  -0.2252677  -1.004734460  -8.41288680
## 301  -0.95676431   1.1719267  -0.2252677  -1.004734460  -8.41288680
## 302  -0.95676431   1.1719267  -0.2252677  -1.004734460  -8.41288680
## 303  -0.95676431   1.1719267  -0.2252677  -1.004734460  -8.41288680
## 304  -0.95676431   1.1719267  -0.2252677  -1.004734460  -8.41288680
## 305  -1.23249175   3.5200616  -6.4706214  -6.949066662   4.10810669
## 306  -1.23249175   3.5200616  -6.4706214  -6.949066662   4.10810669
## 307  -1.23249175   3.5200616  -6.4706214  -6.949066662   4.10810669
## 308  -1.23249175   3.5200616  -6.4706214  -6.949066662   4.10810669
## 309  -1.23249175   3.5200616  -6.4706214  -6.949066662   4.10810669
## 310  -1.23249175   3.5200616  -6.4706214  -6.949066662   4.10810669
## 311  -1.23249175   3.5200616  -6.4706214  -6.949066662   4.10810669
## 312  -1.23249175   3.5200616  -6.4706214  -6.949066662   4.10810669
## 313 -41.37970437 -22.9067145  34.9259013   8.992049990  14.10581407
## 314 -41.37970437 -22.9067145  34.9259013   8.992049990  14.10581407
## 315 -41.37970437 -22.9067145  34.9259013   8.992049990  14.10581407
## 316 -41.37970437 -22.9067145  34.9259013   8.992049990  14.10581407
## 317 -41.37970437 -22.9067145  34.9259013   8.992049990  14.10581407
## 318 -41.37970437 -22.9067145  34.9259013   8.992049990  14.10581407
## 319 -41.37970437 -22.9067145  34.9259013   8.992049990  14.10581407
## 320 -41.37970437 -22.9067145  34.9259013   8.992049990  14.10581407
## 321 -11.19286991 -45.3776636   3.4630579 -26.767700443   0.82223921
## 322 -11.19286991 -45.3776636   3.4630579 -26.767700443   0.82223921
## 323 -11.19286991 -45.3776636   3.4630579 -26.767700443   0.82223921
## 324 -11.19286991 -45.3776636   3.4630579 -26.767700443   0.82223921
## 325 -11.19286991 -45.3776636   3.4630579 -26.767700443   0.82223921
## 326 -11.19286991 -45.3776636   3.4630579 -26.767700443   0.82223921
## 327 -11.19286991 -45.3776636   3.4630579 -26.767700443   0.82223921
## 328 -11.19286991 -45.3776636   3.4630579 -26.767700443   0.82223921
## 329 -12.18942105  -1.0164152   7.4705900  -3.016535592  -4.33261664
## 330 -12.18942105  -1.0164152   7.4705900  -3.016535592  -4.33261664
## 331 -12.18942105  -1.0164152   7.4705900  -3.016535592  -4.33261664
## 332 -12.18942105  -1.0164152   7.4705900  -3.016535592  -4.33261664
## 333 -12.18942105  -1.0164152   7.4705900  -3.016535592  -4.33261664
## 334 -12.18942105  -1.0164152   7.4705900  -3.016535592  -4.33261664
## 335 -12.18942105  -1.0164152   7.4705900  -3.016535592  -4.33261664
## 336 -12.18942105  -1.0164152   7.4705900  -3.016535592  -4.33261664
## 337 -12.20896820  18.3760758  -6.8537174  -8.795503108  14.10156934
## 338 -12.20896820  18.3760758  -6.8537174  -8.795503108  14.10156934
## 339 -12.20896820  18.3760758  -6.8537174  -8.795503108  14.10156934
## 340 -12.20896820  18.3760758  -6.8537174  -8.795503108  14.10156934
## 341 -12.20896820  18.3760758  -6.8537174  -8.795503108  14.10156934
## 342 -12.20896820  18.3760758  -6.8537174  -8.795503108  14.10156934
## 343 -12.20896820  18.3760758  -6.8537174  -8.795503108  14.10156934
## 344 -12.20896820  18.3760758  -6.8537174  -8.795503108  14.10156934
## 345  11.05028272   7.0372168  23.4033429 -16.936326222  -8.53413558
## 346  11.05028272   7.0372168  23.4033429 -16.936326222  -8.53413558
## 347  11.05028272   7.0372168  23.4033429 -16.936326222  -8.53413558
## 348  11.05028272   7.0372168  23.4033429 -16.936326222  -8.53413558
## 349  11.05028272   7.0372168  23.4033429 -16.936326222  -8.53413558
## 350  11.05028272   7.0372168  23.4033429 -16.936326222  -8.53413558
## 351  11.05028272   7.0372168  23.4033429 -16.936326222  -8.53413558
## 352  11.05028272   7.0372168  23.4033429 -16.936326222  -8.53413558
## 353   3.25431353  -1.1371175  13.9534701  -0.538029116 -11.85832403
## 354   3.25431353  -1.1371175  13.9534701  -0.538029116 -11.85832403
## 355   3.25431353  -1.1371175  13.9534701  -0.538029116 -11.85832403
## 356   3.25431353  -1.1371175  13.9534701  -0.538029116 -11.85832403
## 357   3.25431353  -1.1371175  13.9534701  -0.538029116 -11.85832403
## 358   3.25431353  -1.1371175  13.9534701  -0.538029116 -11.85832403
## 359   3.25431353  -1.1371175  13.9534701  -0.538029116 -11.85832403
## 360   3.25431353  -1.1371175  13.9534701  -0.538029116 -11.85832403
## 361   1.03643004   6.3574238   1.1638390   0.246529636  -2.44182870
## 362   1.03643004   6.3574238   1.1638390   0.246529636  -2.44182870
## 363   1.03643004   6.3574238   1.1638390   0.246529636  -2.44182870
## 364   1.03643004   6.3574238   1.1638390   0.246529636  -2.44182870
## 365   1.03643004   6.3574238   1.1638390   0.246529636  -2.44182870
## 366   1.03643004   6.3574238   1.1638390   0.246529636  -2.44182870
## 367   1.03643004   6.3574238   1.1638390   0.246529636  -2.44182870
## 368   1.03643004   6.3574238   1.1638390   0.246529636  -2.44182870
## 369  14.77814832   1.3200567   9.5166514   2.800546091 -20.00196350
## 370  14.77814832   1.3200567   9.5166514   2.800546091 -20.00196350
## 371  14.77814832   1.3200567   9.5166514   2.800546091 -20.00196350
## 372  14.77814832   1.3200567   9.5166514   2.800546091 -20.00196350
## 373  14.77814832   1.3200567   9.5166514   2.800546091 -20.00196350
## 374  14.77814832   1.3200567   9.5166514   2.800546091 -20.00196350
## 375  14.77814832   1.3200567   9.5166514   2.800546091 -20.00196350
## 376  14.77814832   1.3200567   9.5166514   2.800546091 -20.00196350
## 377  -2.07997333   6.0278379  -6.5253134 -27.508838175  17.82719511
## 378  -2.07997333   6.0278379  -6.5253134 -27.508838175  17.82719511
## 379  -2.07997333   6.0278379  -6.5253134 -27.508838175  17.82719511
## 380  -2.07997333   6.0278379  -6.5253134 -27.508838175  17.82719511
## 381  -2.07997333   6.0278379  -6.5253134 -27.508838175  17.82719511
## 382  -2.07997333   6.0278379  -6.5253134 -27.508838175  17.82719511
## 383  -2.07997333   6.0278379  -6.5253134 -27.508838175  17.82719511
## 384  -2.07997333   6.0278379  -6.5253134 -27.508838175  17.82719511
## 385  -0.57746699  -2.2379693  -1.3954469   0.597019879  -2.02697607
## 386  -0.57746699  -2.2379693  -1.3954469   0.597019879  -2.02697607
## 387  -0.57746699  -2.2379693  -1.3954469   0.597019879  -2.02697607
## 388  -0.57746699  -2.2379693  -1.3954469   0.597019879  -2.02697607
## 389  -0.57746699  -2.2379693  -1.3954469   0.597019879  -2.02697607
## 390  -0.57746699  -2.2379693  -1.3954469   0.597019879  -2.02697607
## 391  -0.57746699  -2.2379693  -1.3954469   0.597019879  -2.02697607
## 392  -0.57746699  -2.2379693  -1.3954469   0.597019879  -2.02697607
## 393  -0.39507768   1.5193507   3.0254120   3.929751221   4.11731968
## 394  -0.39507768   1.5193507   3.0254120   3.929751221   4.11731968
## 395  -0.39507768   1.5193507   3.0254120   3.929751221   4.11731968
## 396  -0.39507768   1.5193507   3.0254120   3.929751221   4.11731968
## 397  -0.39507768   1.5193507   3.0254120   3.929751221   4.11731968
## 398  -0.39507768   1.5193507   3.0254120   3.929751221   4.11731968
## 399  -0.39507768   1.5193507   3.0254120   3.929751221   4.11731968
## 400  -0.39507768   1.5193507   3.0254120   3.929751221   4.11731968
## 401  33.07933695  -9.7280610 -17.6743032 -32.231326014  15.14931924
## 402  33.07933695  -9.7280610 -17.6743032 -32.231326014  15.14931924
## 403  33.07933695  -9.7280610 -17.6743032 -32.231326014  15.14931924
## 404  33.07933695  -9.7280610 -17.6743032 -32.231326014  15.14931924
## 405  33.07933695  -9.7280610 -17.6743032 -32.231326014  15.14931924
## 406  33.07933695  -9.7280610 -17.6743032 -32.231326014  15.14931924
## 407  33.07933695  -9.7280610 -17.6743032 -32.231326014  15.14931924
## 408  33.07933695  -9.7280610 -17.6743032 -32.231326014  15.14931924
## 409   3.02416213 -11.8679036 -58.7790572  56.503721554  -6.03161657
## 410   3.02416213 -11.8679036 -58.7790572  56.503721554  -6.03161657
## 411   3.02416213 -11.8679036 -58.7790572  56.503721554  -6.03161657
## 412   3.02416213 -11.8679036 -58.7790572  56.503721554  -6.03161657
## 413   3.02416213 -11.8679036 -58.7790572  56.503721554  -6.03161657
## 414   3.02416213 -11.8679036 -58.7790572  56.503721554  -6.03161657
## 415   3.02416213 -11.8679036 -58.7790572  56.503721554  -6.03161657
## 416   3.02416213 -11.8679036 -58.7790572  56.503721554  -6.03161657
## 417  -3.74619426   2.5102660  -9.5180977   8.863374345  -4.00500239
## 418  -3.74619426   2.5102660  -9.5180977   8.863374345  -4.00500239
## 419  -3.74619426   2.5102660  -9.5180977   8.863374345  -4.00500239
## 420  -3.74619426   2.5102660  -9.5180977   8.863374345  -4.00500239
## 421  -3.74619426   2.5102660  -9.5180977   8.863374345  -4.00500239
## 422  -3.74619426   2.5102660  -9.5180977   8.863374345  -4.00500239
## 423  -3.74619426   2.5102660  -9.5180977   8.863374345  -4.00500239
## 424  -3.74619426   2.5102660  -9.5180977   8.863374345  -4.00500239
## 425   9.35307067 -17.3338715   1.1087462   9.067118606  31.05154940
## 426   9.35307067 -17.3338715   1.1087462   9.067118606  31.05154940
## 427   9.35307067 -17.3338715   1.1087462   9.067118606  31.05154940
## 428   9.35307067 -17.3338715   1.1087462   9.067118606  31.05154940
## 429   9.35307067 -17.3338715   1.1087462   9.067118606  31.05154940
## 430   9.35307067 -17.3338715   1.1087462   9.067118606  31.05154940
## 431   9.35307067 -17.3338715   1.1087462   9.067118606  31.05154940
## 432   9.35307067 -17.3338715   1.1087462   9.067118606  31.05154940
## 433  -2.31043533  -1.5056085   7.6515337  22.885630310 -18.87525390
## 434  -2.31043533  -1.5056085   7.6515337  22.885630310 -18.87525390
## 435  -2.31043533  -1.5056085   7.6515337  22.885630310 -18.87525390
## 436  -2.31043533  -1.5056085   7.6515337  22.885630310 -18.87525390
## 437  -2.31043533  -1.5056085   7.6515337  22.885630310 -18.87525390
## 438  -2.31043533  -1.5056085   7.6515337  22.885630310 -18.87525390
## 439  -2.31043533  -1.5056085   7.6515337  22.885630310 -18.87525390
## 440  -2.31043533  -1.5056085   7.6515337  22.885630310 -18.87525390
## 441  -5.65446189  -1.5121194  -1.9847987  -5.166735181  -1.41589723
## 442  -5.65446189  -1.5121194  -1.9847987  -5.166735181  -1.41589723
## 443  -5.65446189  -1.5121194  -1.9847987  -5.166735181  -1.41589723
## 444  -5.65446189  -1.5121194  -1.9847987  -5.166735181  -1.41589723
## 445  -5.65446189  -1.5121194  -1.9847987  -5.166735181  -1.41589723
## 446  -5.65446189  -1.5121194  -1.9847987  -5.166735181  -1.41589723
## 447  -5.65446189  -1.5121194  -1.9847987  -5.166735181  -1.41589723
## 448  -5.65446189  -1.5121194  -1.9847987  -5.166735181  -1.41589723
## 449  -1.45884277  -5.7831751   2.4092167   1.161332094  -2.65465755
## 450  -1.45884277  -5.7831751   2.4092167   1.161332094  -2.65465755
## 451  -1.45884277  -5.7831751   2.4092167   1.161332094  -2.65465755
## 452  -1.45884277  -5.7831751   2.4092167   1.161332094  -2.65465755
## 453  -1.45884277  -5.7831751   2.4092167   1.161332094  -2.65465755
## 454  -1.45884277  -5.7831751   2.4092167   1.161332094  -2.65465755
## 455  -1.45884277  -5.7831751   2.4092167   1.161332094  -2.65465755
## 456  -1.45884277  -5.7831751   2.4092167   1.161332094  -2.65465755
## 457 -16.06337239 -13.9536707 -15.3493045   3.096942176  -7.19183243
## 458 -16.06337239 -13.9536707 -15.3493045   3.096942176  -7.19183243
## 459 -16.06337239 -13.9536707 -15.3493045   3.096942176  -7.19183243
## 460 -16.06337239 -13.9536707 -15.3493045   3.096942176  -7.19183243
## 461 -16.06337239 -13.9536707 -15.3493045   3.096942176  -7.19183243
## 462 -16.06337239 -13.9536707 -15.3493045   3.096942176  -7.19183243
## 463 -16.06337239 -13.9536707 -15.3493045   3.096942176  -7.19183243
## 464 -16.06337239 -13.9536707 -15.3493045   3.096942176  -7.19183243
## 465  44.46505481  -9.8327895  33.9507886  23.222234430   7.04562126
## 466  44.46505481  -9.8327895  33.9507886  23.222234430   7.04562126
## 467  44.46505481  -9.8327895  33.9507886  23.222234430   7.04562126
## 468  44.46505481  -9.8327895  33.9507886  23.222234430   7.04562126
## 469  44.46505481  -9.8327895  33.9507886  23.222234430   7.04562126
## 470  44.46505481  -9.8327895  33.9507886  23.222234430   7.04562126
## 471  44.46505481  -9.8327895  33.9507886  23.222234430   7.04562126
## 472  44.46505481  -9.8327895  33.9507886  23.222234430   7.04562126
## 473  -0.23994422 -12.7575704  -7.1515101   0.623792435   5.64259046
## 474  -0.23994422 -12.7575704  -7.1515101   0.623792435   5.64259046
## 475  -0.23994422 -12.7575704  -7.1515101   0.623792435   5.64259046
## 476  -0.23994422 -12.7575704  -7.1515101   0.623792435   5.64259046
## 477  -0.23994422 -12.7575704  -7.1515101   0.623792435   5.64259046
## 478  -0.23994422 -12.7575704  -7.1515101   0.623792435   5.64259046
## 479  -0.23994422 -12.7575704  -7.1515101   0.623792435   5.64259046
## 480  -0.23994422 -12.7575704  -7.1515101   0.623792435   5.64259046
## 481   4.63445725   7.6546036  -1.3441879  -7.296886833  14.68269550
## 482   4.63445725   7.6546036  -1.3441879  -7.296886833  14.68269550
## 483   4.63445725   7.6546036  -1.3441879  -7.296886833  14.68269550
## 484   4.63445725   7.6546036  -1.3441879  -7.296886833  14.68269550
## 485   4.63445725   7.6546036  -1.3441879  -7.296886833  14.68269550
## 486   4.63445725   7.6546036  -1.3441879  -7.296886833  14.68269550
## 487   4.63445725   7.6546036  -1.3441879  -7.296886833  14.68269550
## 488   4.63445725   7.6546036  -1.3441879  -7.296886833  14.68269550
## 489   5.48627604   4.6348276  -2.9516808   5.267689030   7.36936739
## 490   5.48627604   4.6348276  -2.9516808   5.267689030   7.36936739
## 491   5.48627604   4.6348276  -2.9516808   5.267689030   7.36936739
## 492   5.48627604   4.6348276  -2.9516808   5.267689030   7.36936739
## 493   5.48627604   4.6348276  -2.9516808   5.267689030   7.36936739
## 494   5.48627604   4.6348276  -2.9516808   5.267689030   7.36936739
## 495   5.48627604   4.6348276  -2.9516808   5.267689030   7.36936739
## 496   5.48627604   4.6348276  -2.9516808   5.267689030   7.36936739
## 497   2.69411075  -2.3939635   8.8527370  -6.108358367   1.26226916
## 498   2.69411075  -2.3939635   8.8527370  -6.108358367   1.26226916
## 499   2.69411075  -2.3939635   8.8527370  -6.108358367   1.26226916
## 500   2.69411075  -2.3939635   8.8527370  -6.108358367   1.26226916
## 501   2.69411075  -2.3939635   8.8527370  -6.108358367   1.26226916
## 502   2.69411075  -2.3939635   8.8527370  -6.108358367   1.26226916
## 503   2.69411075  -2.3939635   8.8527370  -6.108358367   1.26226916
## 504   2.69411075  -2.3939635   8.8527370  -6.108358367   1.26226916
## 505   6.96437252  -0.3248373  -4.0234697  -3.834250578  -8.23934200
## 506   6.96437252  -0.3248373  -4.0234697  -3.834250578  -8.23934200
## 507   6.96437252  -0.3248373  -4.0234697  -3.834250578  -8.23934200
## 508   6.96437252  -0.3248373  -4.0234697  -3.834250578  -8.23934200
## 509   6.96437252  -0.3248373  -4.0234697  -3.834250578  -8.23934200
## 510   6.96437252  -0.3248373  -4.0234697  -3.834250578  -8.23934200
## 511   6.96437252  -0.3248373  -4.0234697  -3.834250578  -8.23934200
## 512   6.96437252  -0.3248373  -4.0234697  -3.834250578  -8.23934200
## 513 -22.83678157 -20.8692187  10.4808161  27.990397730 -13.24844880
## 514 -22.83678157 -20.8692187  10.4808161  27.990397730 -13.24844880
## 515 -22.83678157 -20.8692187  10.4808161  27.990397730 -13.24844880
## 516 -22.83678157 -20.8692187  10.4808161  27.990397730 -13.24844880
## 517 -22.83678157 -20.8692187  10.4808161  27.990397730 -13.24844880
## 518 -22.83678157 -20.8692187  10.4808161  27.990397730 -13.24844880
## 519 -22.83678157 -20.8692187  10.4808161  27.990397730 -13.24844880
## 520 -22.83678157 -20.8692187  10.4808161  27.990397730 -13.24844880
## 521   9.90750997  20.7987988  32.6267105 -41.624540459  43.43105944
## 522   9.90750997  20.7987988  32.6267105 -41.624540459  43.43105944
## 523   9.90750997  20.7987988  32.6267105 -41.624540459  43.43105944
## 524   9.90750997  20.7987988  32.6267105 -41.624540459  43.43105944
## 525   9.90750997  20.7987988  32.6267105 -41.624540459  43.43105944
## 526   9.90750997  20.7987988  32.6267105 -41.624540459  43.43105944
## 527   9.90750997  20.7987988  32.6267105 -41.624540459  43.43105944
## 528   9.90750997  20.7987988  32.6267105 -41.624540459  43.43105944
## 529   2.13433044   1.1864166 -10.0020604  -5.679414672   0.84701572
## 530   2.13433044   1.1864166 -10.0020604  -5.679414672   0.84701572
## 531   2.13433044   1.1864166 -10.0020604  -5.679414672   0.84701572
## 532   2.13433044   1.1864166 -10.0020604  -5.679414672   0.84701572
## 533   2.13433044   1.1864166 -10.0020604  -5.679414672   0.84701572
## 534   2.13433044   1.1864166 -10.0020604  -5.679414672   0.84701572
## 535   2.13433044   1.1864166 -10.0020604  -5.679414672   0.84701572
## 536   2.13433044   1.1864166 -10.0020604  -5.679414672   0.84701572
## 537  32.15759708 -12.1402921 -13.5854403 -20.405830209   9.03239190
## 538  32.15759708 -12.1402921 -13.5854403 -20.405830209   9.03239190
## 539  32.15759708 -12.1402921 -13.5854403 -20.405830209   9.03239190
## 540  32.15759708 -12.1402921 -13.5854403 -20.405830209   9.03239190
## 541  32.15759708 -12.1402921 -13.5854403 -20.405830209   9.03239190
## 542  32.15759708 -12.1402921 -13.5854403 -20.405830209   9.03239190
## 543  32.15759708 -12.1402921 -13.5854403 -20.405830209   9.03239190
## 544  32.15759708 -12.1402921 -13.5854403 -20.405830209   9.03239190
## 545   3.81742861  -3.9131228  -6.6302928  -5.980824934  -2.19741818
## 546   3.81742861  -3.9131228  -6.6302928  -5.980824934  -2.19741818
## 547   3.81742861  -3.9131228  -6.6302928  -5.980824934  -2.19741818
## 548   3.81742861  -3.9131228  -6.6302928  -5.980824934  -2.19741818
## 549   3.81742861  -3.9131228  -6.6302928  -5.980824934  -2.19741818
## 550   3.81742861  -3.9131228  -6.6302928  -5.980824934  -2.19741818
## 551   3.81742861  -3.9131228  -6.6302928  -5.980824934  -2.19741818
## 552   3.81742861  -3.9131228  -6.6302928  -5.980824934  -2.19741818
## 553   1.89269324  -1.3878659   1.9787857  -1.317879235   0.02711466
## 554   1.89269324  -1.3878659   1.9787857  -1.317879235   0.02711466
## 555   1.89269324  -1.3878659   1.9787857  -1.317879235   0.02711466
## 556   1.89269324  -1.3878659   1.9787857  -1.317879235   0.02711466
## 557   1.89269324  -1.3878659   1.9787857  -1.317879235   0.02711466
## 558   1.89269324  -1.3878659   1.9787857  -1.317879235   0.02711466
## 559   1.89269324  -1.3878659   1.9787857  -1.317879235   0.02711466
## 560   1.89269324  -1.3878659   1.9787857  -1.317879235   0.02711466
## 561  -6.10147296   0.2146421   1.1031855   1.312491052  -5.75301790
## 562  -6.10147296   0.2146421   1.1031855   1.312491052  -5.75301790
## 563  -6.10147296   0.2146421   1.1031855   1.312491052  -5.75301790
## 564  -6.10147296   0.2146421   1.1031855   1.312491052  -5.75301790
## 565  -6.10147296   0.2146421   1.1031855   1.312491052  -5.75301790
## 566  -6.10147296   0.2146421   1.1031855   1.312491052  -5.75301790
## 567  -6.10147296   0.2146421   1.1031855   1.312491052  -5.75301790
## 568  -6.10147296   0.2146421   1.1031855   1.312491052  -5.75301790
## 569  -4.91826038   5.7328800  -1.1747641   3.368454206  -3.47289991
## 570  -4.91826038   5.7328800  -1.1747641   3.368454206  -3.47289991
## 571  -4.91826038   5.7328800  -1.1747641   3.368454206  -3.47289991
## 572  -4.91826038   5.7328800  -1.1747641   3.368454206  -3.47289991
## 573  -4.91826038   5.7328800  -1.1747641   3.368454206  -3.47289991
## 574  -4.91826038   5.7328800  -1.1747641   3.368454206  -3.47289991
## 575  -4.91826038   5.7328800  -1.1747641   3.368454206  -3.47289991
## 576  -4.91826038   5.7328800  -1.1747641   3.368454206  -3.47289991
## 577  -4.41994544  -6.5536881   8.0839364  12.383655352  -1.62201297
## 578  -4.41994544  -6.5536881   8.0839364  12.383655352  -1.62201297
## 579  -4.41994544  -6.5536881   8.0839364  12.383655352  -1.62201297
## 580  -4.41994544  -6.5536881   8.0839364  12.383655352  -1.62201297
## 581  -4.41994544  -6.5536881   8.0839364  12.383655352  -1.62201297
## 582  -4.41994544  -6.5536881   8.0839364  12.383655352  -1.62201297
## 583  -4.41994544  -6.5536881   8.0839364  12.383655352  -1.62201297
## 584  -4.41994544  -6.5536881   8.0839364  12.383655352  -1.62201297
## 585   2.57034307   1.1228525   0.5797360   6.231670420  -1.96289643
## 586   2.57034307   1.1228525   0.5797360   6.231670420  -1.96289643
## 587   2.57034307   1.1228525   0.5797360   6.231670420  -1.96289643
## 588   2.57034307   1.1228525   0.5797360   6.231670420  -1.96289643
## 589   2.57034307   1.1228525   0.5797360   6.231670420  -1.96289643
## 590   2.57034307   1.1228525   0.5797360   6.231670420  -1.96289643
## 591   2.57034307   1.1228525   0.5797360   6.231670420  -1.96289643
## 592   2.57034307   1.1228525   0.5797360   6.231670420  -1.96289643
## 593  -1.83639472   3.4274832  -1.4271180   0.005283957   2.41651253
## 594  -1.83639472   3.4274832  -1.4271180   0.005283957   2.41651253
## 595  -1.83639472   3.4274832  -1.4271180   0.005283957   2.41651253
## 596  -1.83639472   3.4274832  -1.4271180   0.005283957   2.41651253
## 597  -1.83639472   3.4274832  -1.4271180   0.005283957   2.41651253
## 598  -1.83639472   3.4274832  -1.4271180   0.005283957   2.41651253
## 599  -1.83639472   3.4274832  -1.4271180   0.005283957   2.41651253
## 600  -1.83639472   3.4274832  -1.4271180   0.005283957   2.41651253
## 601  -3.30060094   1.0158314   2.9847305   2.978271211   3.37864367
## 602  -3.30060094   1.0158314   2.9847305   2.978271211   3.37864367
## 603  -3.30060094   1.0158314   2.9847305   2.978271211   3.37864367
## 604  -3.30060094   1.0158314   2.9847305   2.978271211   3.37864367
## 605  -3.30060094   1.0158314   2.9847305   2.978271211   3.37864367
## 606  -3.30060094   1.0158314   2.9847305   2.978271211   3.37864367
## 607  -3.30060094   1.0158314   2.9847305   2.978271211   3.37864367
## 608  -3.30060094   1.0158314   2.9847305   2.978271211   3.37864367
## 609   1.44418158  -1.0328923  -4.6324814  -2.854294360  -3.05610672
## 610   1.44418158  -1.0328923  -4.6324814  -2.854294360  -3.05610672
## 611   1.44418158  -1.0328923  -4.6324814  -2.854294360  -3.05610672
## 612   1.44418158  -1.0328923  -4.6324814  -2.854294360  -3.05610672
## 613   1.44418158  -1.0328923  -4.6324814  -2.854294360  -3.05610672
## 614   1.44418158  -1.0328923  -4.6324814  -2.854294360  -3.05610672
## 615   1.44418158  -1.0328923  -4.6324814  -2.854294360  -3.05610672
## 616   1.44418158  -1.0328923  -4.6324814  -2.854294360  -3.05610672
## 617  22.19518848  -6.9362150   2.0532808  -6.306929841   6.63185352
## 618  22.19518848  -6.9362150   2.0532808  -6.306929841   6.63185352
## 619  22.19518848  -6.9362150   2.0532808  -6.306929841   6.63185352
## 620  22.19518848  -6.9362150   2.0532808  -6.306929841   6.63185352
## 621  22.19518848  -6.9362150   2.0532808  -6.306929841   6.63185352
## 622  22.19518848  -6.9362150   2.0532808  -6.306929841   6.63185352
## 623  22.19518848  -6.9362150   2.0532808  -6.306929841   6.63185352
## 624  22.19518848  -6.9362150   2.0532808  -6.306929841   6.63185352
## 625  16.66383238  15.6751295  -1.9601082   2.174320291 -13.81378489
## 626  16.66383238  15.6751295  -1.9601082   2.174320291 -13.81378489
## 627  16.66383238  15.6751295  -1.9601082   2.174320291 -13.81378489
## 628  16.66383238  15.6751295  -1.9601082   2.174320291 -13.81378489
## 629  16.66383238  15.6751295  -1.9601082   2.174320291 -13.81378489
## 630  16.66383238  15.6751295  -1.9601082   2.174320291 -13.81378489
## 631  16.66383238  15.6751295  -1.9601082   2.174320291 -13.81378489
## 632  16.66383238  15.6751295  -1.9601082   2.174320291 -13.81378489
## 633  -0.35508870  -1.3573358  -0.4060584  -9.918798636   6.16458148
## 634  -0.35508870  -1.3573358  -0.4060584  -9.918798636   6.16458148
## 635  -0.35508870  -1.3573358  -0.4060584  -9.918798636   6.16458148
## 636  -0.35508870  -1.3573358  -0.4060584  -9.918798636   6.16458148
## 637  -0.35508870  -1.3573358  -0.4060584  -9.918798636   6.16458148
## 638  -0.35508870  -1.3573358  -0.4060584  -9.918798636   6.16458148
## 639  -0.35508870  -1.3573358  -0.4060584  -9.918798636   6.16458148
## 640  -0.35508870  -1.3573358  -0.4060584  -9.918798636   6.16458148
## 641  -1.71127460   2.9560465   0.2674997   8.751651326   1.92662896
## 642  -1.71127460   2.9560465   0.2674997   8.751651326   1.92662896
## 643  -1.71127460   2.9560465   0.2674997   8.751651326   1.92662896
## 644  -1.71127460   2.9560465   0.2674997   8.751651326   1.92662896
## 645  -1.71127460   2.9560465   0.2674997   8.751651326   1.92662896
## 646  -1.71127460   2.9560465   0.2674997   8.751651326   1.92662896
## 647  -1.71127460   2.9560465   0.2674997   8.751651326   1.92662896
## 648  -1.71127460   2.9560465   0.2674997   8.751651326   1.92662896
## 649   0.66727675   7.4873129  19.0824944  -3.415759845   1.01840021
## 650   0.66727675   7.4873129  19.0824944  -3.415759845   1.01840021
## 651   0.66727675   7.4873129  19.0824944  -3.415759845   1.01840021
## 652   0.66727675   7.4873129  19.0824944  -3.415759845   1.01840021
## 653   0.66727675   7.4873129  19.0824944  -3.415759845   1.01840021
## 654   0.66727675   7.4873129  19.0824944  -3.415759845   1.01840021
## 655   0.66727675   7.4873129  19.0824944  -3.415759845   1.01840021
## 656   0.66727675   7.4873129  19.0824944  -3.415759845   1.01840021
## 657 -18.45431269 -12.7915719  13.3856621  -5.945370595  -0.92154945
## 658 -18.45431269 -12.7915719  13.3856621  -5.945370595  -0.92154945
## 659 -18.45431269 -12.7915719  13.3856621  -5.945370595  -0.92154945
## 660 -18.45431269 -12.7915719  13.3856621  -5.945370595  -0.92154945
## 661 -18.45431269 -12.7915719  13.3856621  -5.945370595  -0.92154945
## 662 -18.45431269 -12.7915719  13.3856621  -5.945370595  -0.92154945
## 663 -18.45431269 -12.7915719  13.3856621  -5.945370595  -0.92154945
## 664 -18.45431269 -12.7915719  13.3856621  -5.945370595  -0.92154945
## 665   3.95589008  -7.0844523  -5.6375451   0.868572723  16.95057299
## 666   3.95589008  -7.0844523  -5.6375451   0.868572723  16.95057299
## 667   3.95589008  -7.0844523  -5.6375451   0.868572723  16.95057299
## 668   3.95589008  -7.0844523  -5.6375451   0.868572723  16.95057299
## 669   3.95589008  -7.0844523  -5.6375451   0.868572723  16.95057299
## 670   3.95589008  -7.0844523  -5.6375451   0.868572723  16.95057299
## 671   3.95589008  -7.0844523  -5.6375451   0.868572723  16.95057299
## 672   3.95589008  -7.0844523  -5.6375451   0.868572723  16.95057299
## 673  -6.98608445   2.0106125  -4.1271566   3.338563854   2.00156173
## 674  -6.98608445   2.0106125  -4.1271566   3.338563854   2.00156173
## 675  -6.98608445   2.0106125  -4.1271566   3.338563854   2.00156173
## 676  -6.98608445   2.0106125  -4.1271566   3.338563854   2.00156173
## 677  -6.98608445   2.0106125  -4.1271566   3.338563854   2.00156173
## 678  -6.98608445   2.0106125  -4.1271566   3.338563854   2.00156173
## 679  -6.98608445   2.0106125  -4.1271566   3.338563854   2.00156173
## 680  -6.98608445   2.0106125  -4.1271566   3.338563854   2.00156173
## 681   5.53129566   8.7994793  -3.3120596  -1.946807169   5.67074404
## 682   5.53129566   8.7994793  -3.3120596  -1.946807169   5.67074404
## 683   5.53129566   8.7994793  -3.3120596  -1.946807169   5.67074404
## 684   5.53129566   8.7994793  -3.3120596  -1.946807169   5.67074404
## 685   5.53129566   8.7994793  -3.3120596  -1.946807169   5.67074404
## 686   5.53129566   8.7994793  -3.3120596  -1.946807169   5.67074404
## 687   5.53129566   8.7994793  -3.3120596  -1.946807169   5.67074404
## 688   5.53129566   8.7994793  -3.3120596  -1.946807169   5.67074404
## 689  -1.13671800   4.4097727  -6.3505805  -5.343752959   1.45639349
## 690  -1.13671800   4.4097727  -6.3505805  -5.343752959   1.45639349
## 691  -1.13671800   4.4097727  -6.3505805  -5.343752959   1.45639349
## 692  -1.13671800   4.4097727  -6.3505805  -5.343752959   1.45639349
## 693  -1.13671800   4.4097727  -6.3505805  -5.343752959   1.45639349
## 694  -1.13671800   4.4097727  -6.3505805  -5.343752959   1.45639349
## 695  -1.13671800   4.4097727  -6.3505805  -5.343752959   1.45639349
## 696  -1.13671800   4.4097727  -6.3505805  -5.343752959   1.45639349
## 697   5.61252275  -9.6214690  15.0422438  -0.850816641 -13.23635430
## 698   5.61252275  -9.6214690  15.0422438  -0.850816641 -13.23635430
## 699   5.61252275  -9.6214690  15.0422438  -0.850816641 -13.23635430
## 700   5.61252275  -9.6214690  15.0422438  -0.850816641 -13.23635430
## 701   5.61252275  -9.6214690  15.0422438  -0.850816641 -13.23635430
## 702   5.61252275  -9.6214690  15.0422438  -0.850816641 -13.23635430
## 703   5.61252275  -9.6214690  15.0422438  -0.850816641 -13.23635430
## 704   5.61252275  -9.6214690  15.0422438  -0.850816641 -13.23635430
## 705  -0.55761806   3.5373841  -0.7254065   1.260440886  -1.37219776
## 706  -0.55761806   3.5373841  -0.7254065   1.260440886  -1.37219776
## 707  -0.55761806   3.5373841  -0.7254065   1.260440886  -1.37219776
## 708  -0.55761806   3.5373841  -0.7254065   1.260440886  -1.37219776
## 709  -0.55761806   3.5373841  -0.7254065   1.260440886  -1.37219776
## 710  -0.55761806   3.5373841  -0.7254065   1.260440886  -1.37219776
## 711  -0.55761806   3.5373841  -0.7254065   1.260440886  -1.37219776
## 712  -0.55761806   3.5373841  -0.7254065   1.260440886  -1.37219776
## 713  -0.84546757   0.2770553   5.0070128  -4.916782589   2.24409852
## 714  -0.84546757   0.2770553   5.0070128  -4.916782589   2.24409852
## 715  -0.84546757   0.2770553   5.0070128  -4.916782589   2.24409852
## 716  -0.84546757   0.2770553   5.0070128  -4.916782589   2.24409852
## 717  -0.84546757   0.2770553   5.0070128  -4.916782589   2.24409852
## 718  -0.84546757   0.2770553   5.0070128  -4.916782589   2.24409852
## 719  -0.84546757   0.2770553   5.0070128  -4.916782589   2.24409852
## 720  -0.84546757   0.2770553   5.0070128  -4.916782589   2.24409852
## 721  -2.06142067  10.8868947   1.1491177   6.439195274   5.37855107
## 722  -2.06142067  10.8868947   1.1491177   6.439195274   5.37855107
## 723  -2.06142067  10.8868947   1.1491177   6.439195274   5.37855107
## 724  -2.06142067  10.8868947   1.1491177   6.439195274   5.37855107
## 725  -2.06142067  10.8868947   1.1491177   6.439195274   5.37855107
## 726  -2.06142067  10.8868947   1.1491177   6.439195274   5.37855107
## 727  -2.06142067  10.8868947   1.1491177   6.439195274   5.37855107
## 728  -2.06142067  10.8868947   1.1491177   6.439195274   5.37855107
## 729  -2.87243617  -2.0613546   1.4425978  -1.773633809  -6.31406212
## 730  -2.87243617  -2.0613546   1.4425978  -1.773633809  -6.31406212
## 731  -2.87243617  -2.0613546   1.4425978  -1.773633809  -6.31406212
## 732  -2.87243617  -2.0613546   1.4425978  -1.773633809  -6.31406212
## 733  -2.87243617  -2.0613546   1.4425978  -1.773633809  -6.31406212
## 734  -2.87243617  -2.0613546   1.4425978  -1.773633809  -6.31406212
## 735  -2.87243617  -2.0613546   1.4425978  -1.773633809  -6.31406212
## 736  -2.87243617  -2.0613546   1.4425978  -1.773633809  -6.31406212
## 737   0.78712882  -2.7395907  -4.3099636  -5.171591381  -7.18379372
## 738   0.78712882  -2.7395907  -4.3099636  -5.171591381  -7.18379372
## 739   0.78712882  -2.7395907  -4.3099636  -5.171591381  -7.18379372
## 740   0.78712882  -2.7395907  -4.3099636  -5.171591381  -7.18379372
## 741   0.78712882  -2.7395907  -4.3099636  -5.171591381  -7.18379372
## 742   0.78712882  -2.7395907  -4.3099636  -5.171591381  -7.18379372
## 743   0.78712882  -2.7395907  -4.3099636  -5.171591381  -7.18379372
## 744   0.78712882  -2.7395907  -4.3099636  -5.171591381  -7.18379372
## 745   4.21271241   7.8654653   5.6569537  -0.363490404  -7.38572136
## 746   4.21271241   7.8654653   5.6569537  -0.363490404  -7.38572136
## 747   4.21271241   7.8654653   5.6569537  -0.363490404  -7.38572136
## 748   4.21271241   7.8654653   5.6569537  -0.363490404  -7.38572136
## 749   4.21271241   7.8654653   5.6569537  -0.363490404  -7.38572136
## 750   4.21271241   7.8654653   5.6569537  -0.363490404  -7.38572136
## 751   4.21271241   7.8654653   5.6569537  -0.363490404  -7.38572136
## 752   4.21271241   7.8654653   5.6569537  -0.363490404  -7.38572136
## 753 -10.37819147   2.1685307  -2.6810178  -2.712191894 -10.37030918
## 754 -10.37819147   2.1685307  -2.6810178  -2.712191894 -10.37030918
## 755 -10.37819147   2.1685307  -2.6810178  -2.712191894 -10.37030918
## 756 -10.37819147   2.1685307  -2.6810178  -2.712191894 -10.37030918
## 757 -10.37819147   2.1685307  -2.6810178  -2.712191894 -10.37030918
## 758 -10.37819147   2.1685307  -2.6810178  -2.712191894 -10.37030918
## 759 -10.37819147   2.1685307  -2.6810178  -2.712191894 -10.37030918
## 760 -10.37819147   2.1685307  -2.6810178  -2.712191894 -10.37030918
## 761  -2.05791219  22.4137565 -10.9224029 -11.725189936  -4.97125846
## 762  -2.05791219  22.4137565 -10.9224029 -11.725189936  -4.97125846
## 763  -2.05791219  22.4137565 -10.9224029 -11.725189936  -4.97125846
## 764  -2.05791219  22.4137565 -10.9224029 -11.725189936  -4.97125846
## 765  -2.05791219  22.4137565 -10.9224029 -11.725189936  -4.97125846
## 766  -2.05791219  22.4137565 -10.9224029 -11.725189936  -4.97125846
## 767  -2.05791219  22.4137565 -10.9224029 -11.725189936  -4.97125846
## 768  -2.05791219  22.4137565 -10.9224029 -11.725189936  -4.97125846
## 769   4.43495572   4.0103338   4.1066821   8.029115689  -2.63051291
## 770   4.43495572   4.0103338   4.1066821   8.029115689  -2.63051291
## 771   4.43495572   4.0103338   4.1066821   8.029115689  -2.63051291
## 772   4.43495572   4.0103338   4.1066821   8.029115689  -2.63051291
## 773   4.43495572   4.0103338   4.1066821   8.029115689  -2.63051291
## 774   4.43495572   4.0103338   4.1066821   8.029115689  -2.63051291
## 775   4.43495572   4.0103338   4.1066821   8.029115689  -2.63051291
## 776   4.43495572   4.0103338   4.1066821   8.029115689  -2.63051291
## 777  12.34144227 -22.5582655  27.4409333  46.977902342  55.08805887
## 778  12.34144227 -22.5582655  27.4409333  46.977902342  55.08805887
## 779  12.34144227 -22.5582655  27.4409333  46.977902342  55.08805887
## 780  12.34144227 -22.5582655  27.4409333  46.977902342  55.08805887
## 781  12.34144227 -22.5582655  27.4409333  46.977902342  55.08805887
## 782  12.34144227 -22.5582655  27.4409333  46.977902342  55.08805887
## 783  12.34144227 -22.5582655  27.4409333  46.977902342  55.08805887
## 784  12.34144227 -22.5582655  27.4409333  46.977902342  55.08805887
## 785  -4.44385407   1.4191994  -0.8555954   0.388693939  -2.69777931
## 786  -4.44385407   1.4191994  -0.8555954   0.388693939  -2.69777931
## 787  -4.44385407   1.4191994  -0.8555954   0.388693939  -2.69777931
## 788  -4.44385407   1.4191994  -0.8555954   0.388693939  -2.69777931
## 789  -4.44385407   1.4191994  -0.8555954   0.388693939  -2.69777931
## 790  -4.44385407   1.4191994  -0.8555954   0.388693939  -2.69777931
## 791  -4.44385407   1.4191994  -0.8555954   0.388693939  -2.69777931
## 792  -4.44385407   1.4191994  -0.8555954   0.388693939  -2.69777931
## 793  -3.62694789  12.0775252  16.5599259  -4.418621478  -0.07985022
## 794  -3.62694789  12.0775252  16.5599259  -4.418621478  -0.07985022
## 795  -3.62694789  12.0775252  16.5599259  -4.418621478  -0.07985022
## 796  -3.62694789  12.0775252  16.5599259  -4.418621478  -0.07985022
## 797  -3.62694789  12.0775252  16.5599259  -4.418621478  -0.07985022
## 798  -3.62694789  12.0775252  16.5599259  -4.418621478  -0.07985022
## 799  -3.62694789  12.0775252  16.5599259  -4.418621478  -0.07985022
##       PC53_score    PC54_score   PC55_score    PC56_score   PC57_score
## 1    -2.38253470 -14.899195899   3.09216075  22.412533877  21.37131185
## 2    -2.38253470 -14.899195899   3.09216075  22.412533877  21.37131185
## 3    -2.38253470 -14.899195899   3.09216075  22.412533877  21.37131185
## 4    -2.38253470 -14.899195899   3.09216075  22.412533877  21.37131185
## 5    -2.38253470 -14.899195899   3.09216075  22.412533877  21.37131185
## 6    -2.38253470 -14.899195899   3.09216075  22.412533877  21.37131185
## 7    -2.38253470 -14.899195899   3.09216075  22.412533877  21.37131185
## 8    -2.38253470 -14.899195899   3.09216075  22.412533877  21.37131185
## 9    -1.06847480   0.244824654  -1.56603409   0.660342886   1.17137076
## 10   -1.06847480   0.244824654  -1.56603409   0.660342886   1.17137076
## 11   -1.06847480   0.244824654  -1.56603409   0.660342886   1.17137076
## 12   -1.06847480   0.244824654  -1.56603409   0.660342886   1.17137076
## 13   -1.06847480   0.244824654  -1.56603409   0.660342886   1.17137076
## 14   -1.06847480   0.244824654  -1.56603409   0.660342886   1.17137076
## 15   -1.06847480   0.244824654  -1.56603409   0.660342886   1.17137076
## 16   -1.06847480   0.244824654  -1.56603409   0.660342886   1.17137076
## 17   -1.19296529  11.717441814  15.68506709   1.833450538 -17.96827639
## 18   -1.19296529  11.717441814  15.68506709   1.833450538 -17.96827639
## 19   -1.19296529  11.717441814  15.68506709   1.833450538 -17.96827639
## 20   -1.19296529  11.717441814  15.68506709   1.833450538 -17.96827639
## 21   -1.19296529  11.717441814  15.68506709   1.833450538 -17.96827639
## 22   -1.19296529  11.717441814  15.68506709   1.833450538 -17.96827639
## 23   -1.19296529  11.717441814  15.68506709   1.833450538 -17.96827639
## 24   -1.19296529  11.717441814  15.68506709   1.833450538 -17.96827639
## 25   -2.17173336   4.162535260  58.53756838  30.691450745   5.99217227
## 26   -2.17173336   4.162535260  58.53756838  30.691450745   5.99217227
## 27   -2.17173336   4.162535260  58.53756838  30.691450745   5.99217227
## 28   -2.17173336   4.162535260  58.53756838  30.691450745   5.99217227
## 29   -2.17173336   4.162535260  58.53756838  30.691450745   5.99217227
## 30   -2.17173336   4.162535260  58.53756838  30.691450745   5.99217227
## 31   -2.17173336   4.162535260  58.53756838  30.691450745   5.99217227
## 32   -2.17173336   4.162535260  58.53756838  30.691450745   5.99217227
## 33   -2.92675184  14.713821985  -8.63174971  20.001435564 -15.00913033
## 34   -2.92675184  14.713821985  -8.63174971  20.001435564 -15.00913033
## 35   -2.92675184  14.713821985  -8.63174971  20.001435564 -15.00913033
## 36   -2.92675184  14.713821985  -8.63174971  20.001435564 -15.00913033
## 37   -2.92675184  14.713821985  -8.63174971  20.001435564 -15.00913033
## 38   -2.92675184  14.713821985  -8.63174971  20.001435564 -15.00913033
## 39   -2.92675184  14.713821985  -8.63174971  20.001435564 -15.00913033
## 40   -2.92675184  14.713821985  -8.63174971  20.001435564 -15.00913033
## 41   -3.69239604   8.937360399  -2.43091515  -4.504769241  -0.87062588
## 42   -3.69239604   8.937360399  -2.43091515  -4.504769241  -0.87062588
## 43   -3.69239604   8.937360399  -2.43091515  -4.504769241  -0.87062588
## 44   -3.69239604   8.937360399  -2.43091515  -4.504769241  -0.87062588
## 45   -3.69239604   8.937360399  -2.43091515  -4.504769241  -0.87062588
## 46   -3.69239604   8.937360399  -2.43091515  -4.504769241  -0.87062588
## 47   -3.69239604   8.937360399  -2.43091515  -4.504769241  -0.87062588
## 48   -3.69239604   8.937360399  -2.43091515  -4.504769241  -0.87062588
## 49   -2.71354515   9.657898686  -5.88511516  -1.604671374  -5.54931946
## 50   -2.71354515   9.657898686  -5.88511516  -1.604671374  -5.54931946
## 51   -2.71354515   9.657898686  -5.88511516  -1.604671374  -5.54931946
## 52   -2.71354515   9.657898686  -5.88511516  -1.604671374  -5.54931946
## 53   -2.71354515   9.657898686  -5.88511516  -1.604671374  -5.54931946
## 54   -2.71354515   9.657898686  -5.88511516  -1.604671374  -5.54931946
## 55   -2.71354515   9.657898686  -5.88511516  -1.604671374  -5.54931946
## 56   -2.71354515   9.657898686  -5.88511516  -1.604671374  -5.54931946
## 57  -32.43230794  35.517367722 -11.42803779  22.932281520 -14.04661434
## 58  -32.43230794  35.517367722 -11.42803779  22.932281520 -14.04661434
## 59  -32.43230794  35.517367722 -11.42803779  22.932281520 -14.04661434
## 60  -32.43230794  35.517367722 -11.42803779  22.932281520 -14.04661434
## 61  -32.43230794  35.517367722 -11.42803779  22.932281520 -14.04661434
## 62  -32.43230794  35.517367722 -11.42803779  22.932281520 -14.04661434
## 63  -32.43230794  35.517367722 -11.42803779  22.932281520 -14.04661434
## 64  -32.43230794  35.517367722 -11.42803779  22.932281520 -14.04661434
## 65   46.26937936 -13.839210931 -15.19715158 -41.781929371 -26.21044172
## 66   46.26937936 -13.839210931 -15.19715158 -41.781929371 -26.21044172
## 67   46.26937936 -13.839210931 -15.19715158 -41.781929371 -26.21044172
## 68   46.26937936 -13.839210931 -15.19715158 -41.781929371 -26.21044172
## 69   46.26937936 -13.839210931 -15.19715158 -41.781929371 -26.21044172
## 70   46.26937936 -13.839210931 -15.19715158 -41.781929371 -26.21044172
## 71   46.26937936 -13.839210931 -15.19715158 -41.781929371 -26.21044172
## 72   46.26937936 -13.839210931 -15.19715158 -41.781929371 -26.21044172
## 73    2.44861111  -3.976921375 -11.75648829  22.801006557  65.70464145
## 74    2.44861111  -3.976921375 -11.75648829  22.801006557  65.70464145
## 75    2.44861111  -3.976921375 -11.75648829  22.801006557  65.70464145
## 76    2.44861111  -3.976921375 -11.75648829  22.801006557  65.70464145
## 77    2.44861111  -3.976921375 -11.75648829  22.801006557  65.70464145
## 78    2.44861111  -3.976921375 -11.75648829  22.801006557  65.70464145
## 79    2.44861111  -3.976921375 -11.75648829  22.801006557  65.70464145
## 80    2.44861111  -3.976921375 -11.75648829  22.801006557  65.70464145
## 81   -8.54755677  10.223935925 -10.87339086   9.269756706  -4.43443653
## 82   -8.54755677  10.223935925 -10.87339086   9.269756706  -4.43443653
## 83   -8.54755677  10.223935925 -10.87339086   9.269756706  -4.43443653
## 84   -8.54755677  10.223935925 -10.87339086   9.269756706  -4.43443653
## 85   -8.54755677  10.223935925 -10.87339086   9.269756706  -4.43443653
## 86   -8.54755677  10.223935925 -10.87339086   9.269756706  -4.43443653
## 87   -8.54755677  10.223935925 -10.87339086   9.269756706  -4.43443653
## 88   -8.54755677  10.223935925 -10.87339086   9.269756706  -4.43443653
## 89  -18.63948677  -5.127268069  -5.70786479  -0.330452840 -13.08609373
## 90  -18.63948677  -5.127268069  -5.70786479  -0.330452840 -13.08609373
## 91  -18.63948677  -5.127268069  -5.70786479  -0.330452840 -13.08609373
## 92  -18.63948677  -5.127268069  -5.70786479  -0.330452840 -13.08609373
## 93  -18.63948677  -5.127268069  -5.70786479  -0.330452840 -13.08609373
## 94  -18.63948677  -5.127268069  -5.70786479  -0.330452840 -13.08609373
## 95  -18.63948677  -5.127268069  -5.70786479  -0.330452840 -13.08609373
## 96  -18.63948677  -5.127268069  -5.70786479  -0.330452840 -13.08609373
## 97   46.63363194  36.589918691  12.24476502 -10.727339225  36.72812483
## 98   46.63363194  36.589918691  12.24476502 -10.727339225  36.72812483
## 99   46.63363194  36.589918691  12.24476502 -10.727339225  36.72812483
## 100  46.63363194  36.589918691  12.24476502 -10.727339225  36.72812483
## 101  46.63363194  36.589918691  12.24476502 -10.727339225  36.72812483
## 102  46.63363194  36.589918691  12.24476502 -10.727339225  36.72812483
## 103  46.63363194  36.589918691  12.24476502 -10.727339225  36.72812483
## 104  46.63363194  36.589918691  12.24476502 -10.727339225  36.72812483
## 105  -1.00892731   7.503234130  -1.81263713  -8.739199244  13.81871113
## 106  -1.00892731   7.503234130  -1.81263713  -8.739199244  13.81871113
## 107  -1.00892731   7.503234130  -1.81263713  -8.739199244  13.81871113
## 108  -1.00892731   7.503234130  -1.81263713  -8.739199244  13.81871113
## 109  -1.00892731   7.503234130  -1.81263713  -8.739199244  13.81871113
## 110  -1.00892731   7.503234130  -1.81263713  -8.739199244  13.81871113
## 111  -1.00892731   7.503234130  -1.81263713  -8.739199244  13.81871113
## 112  -1.00892731   7.503234130  -1.81263713  -8.739199244  13.81871113
## 113  -4.48232975   0.977523029  -3.50418706   3.182740057   4.40418944
## 114  -4.48232975   0.977523029  -3.50418706   3.182740057   4.40418944
## 115  -4.48232975   0.977523029  -3.50418706   3.182740057   4.40418944
## 116  -4.48232975   0.977523029  -3.50418706   3.182740057   4.40418944
## 117  -4.48232975   0.977523029  -3.50418706   3.182740057   4.40418944
## 118  -4.48232975   0.977523029  -3.50418706   3.182740057   4.40418944
## 119  -4.48232975   0.977523029  -3.50418706   3.182740057   4.40418944
## 120  -4.48232975   0.977523029  -3.50418706   3.182740057   4.40418944
## 121 -36.29928896 -40.421328759  -3.86907098  -8.675908466  -8.24297368
## 122 -36.29928896 -40.421328759  -3.86907098  -8.675908466  -8.24297368
## 123 -36.29928896 -40.421328759  -3.86907098  -8.675908466  -8.24297368
## 124 -36.29928896 -40.421328759  -3.86907098  -8.675908466  -8.24297368
## 125 -36.29928896 -40.421328759  -3.86907098  -8.675908466  -8.24297368
## 126 -36.29928896 -40.421328759  -3.86907098  -8.675908466  -8.24297368
## 127 -36.29928896 -40.421328759  -3.86907098  -8.675908466  -8.24297368
## 128 -36.29928896 -40.421328759  -3.86907098  -8.675908466  -8.24297368
## 129 -12.76291550 -31.938153328   5.13737228   3.115369240 -25.83785469
## 130 -12.76291550 -31.938153328   5.13737228   3.115369240 -25.83785469
## 131 -12.76291550 -31.938153328   5.13737228   3.115369240 -25.83785469
## 132 -12.76291550 -31.938153328   5.13737228   3.115369240 -25.83785469
## 133 -12.76291550 -31.938153328   5.13737228   3.115369240 -25.83785469
## 134 -12.76291550 -31.938153328   5.13737228   3.115369240 -25.83785469
## 135 -12.76291550 -31.938153328   5.13737228   3.115369240 -25.83785469
## 136 -12.76291550 -31.938153328   5.13737228   3.115369240 -25.83785469
## 137   0.04746399  -3.107240004  -1.67817053  -2.274042529  -2.94441032
## 138   0.04746399  -3.107240004  -1.67817053  -2.274042529  -2.94441032
## 139   0.04746399  -3.107240004  -1.67817053  -2.274042529  -2.94441032
## 140   0.04746399  -3.107240004  -1.67817053  -2.274042529  -2.94441032
## 141   0.04746399  -3.107240004  -1.67817053  -2.274042529  -2.94441032
## 142   0.04746399  -3.107240004  -1.67817053  -2.274042529  -2.94441032
## 143   0.04746399  -3.107240004  -1.67817053  -2.274042529  -2.94441032
## 144   0.04746399  -3.107240004  -1.67817053  -2.274042529  -2.94441032
## 145   3.06369240 -52.569218690 -22.80837706 -19.573987274  28.24968433
## 146   3.06369240 -52.569218690 -22.80837706 -19.573987274  28.24968433
## 147   3.06369240 -52.569218690 -22.80837706 -19.573987274  28.24968433
## 148   3.06369240 -52.569218690 -22.80837706 -19.573987274  28.24968433
## 149   3.06369240 -52.569218690 -22.80837706 -19.573987274  28.24968433
## 150   3.06369240 -52.569218690 -22.80837706 -19.573987274  28.24968433
## 151   3.06369240 -52.569218690 -22.80837706 -19.573987274  28.24968433
## 152   3.06369240 -52.569218690 -22.80837706 -19.573987274  28.24968433
## 153   2.29370738  -1.559855364  -2.76708734   0.850660734  -1.77623274
## 154   2.29370738  -1.559855364  -2.76708734   0.850660734  -1.77623274
## 155   2.29370738  -1.559855364  -2.76708734   0.850660734  -1.77623274
## 156   2.29370738  -1.559855364  -2.76708734   0.850660734  -1.77623274
## 157   2.29370738  -1.559855364  -2.76708734   0.850660734  -1.77623274
## 158   2.29370738  -1.559855364  -2.76708734   0.850660734  -1.77623274
## 159   2.29370738  -1.559855364  -2.76708734   0.850660734  -1.77623274
## 160   2.29370738  -1.559855364  -2.76708734   0.850660734  -1.77623274
## 161  -9.27951928   7.854195683   5.25558525 -26.062611267 -10.48260279
## 162  -9.27951928   7.854195683   5.25558525 -26.062611267 -10.48260279
## 163  -9.27951928   7.854195683   5.25558525 -26.062611267 -10.48260279
## 164  -9.27951928   7.854195683   5.25558525 -26.062611267 -10.48260279
## 165  -9.27951928   7.854195683   5.25558525 -26.062611267 -10.48260279
## 166  -9.27951928   7.854195683   5.25558525 -26.062611267 -10.48260279
## 167  -9.27951928   7.854195683   5.25558525 -26.062611267 -10.48260279
## 168  -9.27951928   7.854195683   5.25558525 -26.062611267 -10.48260279
## 169  -0.44969215  -2.359705919  -2.53909457   1.054008306   0.91670749
## 170  -0.44969215  -2.359705919  -2.53909457   1.054008306   0.91670749
## 171  -0.44969215  -2.359705919  -2.53909457   1.054008306   0.91670749
## 172  -0.44969215  -2.359705919  -2.53909457   1.054008306   0.91670749
## 173  -0.44969215  -2.359705919  -2.53909457   1.054008306   0.91670749
## 174  -0.44969215  -2.359705919  -2.53909457   1.054008306   0.91670749
## 175  -0.44969215  -2.359705919  -2.53909457   1.054008306   0.91670749
## 176  -0.44969215  -2.359705919  -2.53909457   1.054008306   0.91670749
## 177  -3.15311722  -8.679066048   7.28475384  -1.706408414   0.04942206
## 178  -3.15311722  -8.679066048   7.28475384  -1.706408414   0.04942206
## 179  -3.15311722  -8.679066048   7.28475384  -1.706408414   0.04942206
## 180  -3.15311722  -8.679066048   7.28475384  -1.706408414   0.04942206
## 181  -3.15311722  -8.679066048   7.28475384  -1.706408414   0.04942206
## 182  -3.15311722  -8.679066048   7.28475384  -1.706408414   0.04942206
## 183  -3.15311722  -8.679066048   7.28475384  -1.706408414   0.04942206
## 184  -3.15311722  -8.679066048   7.28475384  -1.706408414   0.04942206
## 185   0.11065205   1.897908605  -2.50086980  -1.301605020  -4.76128393
## 186   0.11065205   1.897908605  -2.50086980  -1.301605020  -4.76128393
## 187   0.11065205   1.897908605  -2.50086980  -1.301605020  -4.76128393
## 188   0.11065205   1.897908605  -2.50086980  -1.301605020  -4.76128393
## 189   0.11065205   1.897908605  -2.50086980  -1.301605020  -4.76128393
## 190   0.11065205   1.897908605  -2.50086980  -1.301605020  -4.76128393
## 191   0.11065205   1.897908605  -2.50086980  -1.301605020  -4.76128393
## 192   0.11065205   1.897908605  -2.50086980  -1.301605020  -4.76128393
## 193 -12.37695148 -27.751270559  16.63349875 -15.082873283 -14.46790284
## 194 -12.37695148 -27.751270559  16.63349875 -15.082873283 -14.46790284
## 195 -12.37695148 -27.751270559  16.63349875 -15.082873283 -14.46790284
## 196 -12.37695148 -27.751270559  16.63349875 -15.082873283 -14.46790284
## 197 -12.37695148 -27.751270559  16.63349875 -15.082873283 -14.46790284
## 198 -12.37695148 -27.751270559  16.63349875 -15.082873283 -14.46790284
## 199 -12.37695148 -27.751270559  16.63349875 -15.082873283 -14.46790284
## 200 -12.37695148 -27.751270559  16.63349875 -15.082873283 -14.46790284
## 201  -3.10429195   6.051362804   0.13801727  -9.208018940  -4.10346253
## 202  -3.10429195   6.051362804   0.13801727  -9.208018940  -4.10346253
## 203  -3.10429195   6.051362804   0.13801727  -9.208018940  -4.10346253
## 204  -3.10429195   6.051362804   0.13801727  -9.208018940  -4.10346253
## 205  -3.10429195   6.051362804   0.13801727  -9.208018940  -4.10346253
## 206  -3.10429195   6.051362804   0.13801727  -9.208018940  -4.10346253
## 207  -3.10429195   6.051362804   0.13801727  -9.208018940  -4.10346253
## 208  -3.10429195   6.051362804   0.13801727  -9.208018940  -4.10346253
## 209  -6.96347722  -0.001390406  -1.46951920  -1.184208471  -1.14802546
## 210  -6.96347722  -0.001390406  -1.46951920  -1.184208471  -1.14802546
## 211  -6.96347722  -0.001390406  -1.46951920  -1.184208471  -1.14802546
## 212  -6.96347722  -0.001390406  -1.46951920  -1.184208471  -1.14802546
## 213  -6.96347722  -0.001390406  -1.46951920  -1.184208471  -1.14802546
## 214  -6.96347722  -0.001390406  -1.46951920  -1.184208471  -1.14802546
## 215  -6.96347722  -0.001390406  -1.46951920  -1.184208471  -1.14802546
## 216  -6.96347722  -0.001390406  -1.46951920  -1.184208471  -1.14802546
## 217  -1.54644442   0.113983008  -0.88977644   0.376601266  -0.20540833
## 218  -1.54644442   0.113983008  -0.88977644   0.376601266  -0.20540833
## 219  -1.54644442   0.113983008  -0.88977644   0.376601266  -0.20540833
## 220  -1.54644442   0.113983008  -0.88977644   0.376601266  -0.20540833
## 221  -1.54644442   0.113983008  -0.88977644   0.376601266  -0.20540833
## 222  -1.54644442   0.113983008  -0.88977644   0.376601266  -0.20540833
## 223  -1.54644442   0.113983008  -0.88977644   0.376601266  -0.20540833
## 224  -1.54644442   0.113983008  -0.88977644   0.376601266  -0.20540833
## 225  -1.79327951   3.523012573   0.35645078  -1.561272193   1.72871837
## 226  -1.79327951   3.523012573   0.35645078  -1.561272193   1.72871837
## 227  -1.79327951   3.523012573   0.35645078  -1.561272193   1.72871837
## 228  -1.79327951   3.523012573   0.35645078  -1.561272193   1.72871837
## 229  -1.79327951   3.523012573   0.35645078  -1.561272193   1.72871837
## 230  -1.79327951   3.523012573   0.35645078  -1.561272193   1.72871837
## 231  -1.79327951   3.523012573   0.35645078  -1.561272193   1.72871837
## 232  -1.79327951   3.523012573   0.35645078  -1.561272193   1.72871837
## 233   9.19641829  -4.676077970  -0.77979626  -5.175697880  -6.11037955
## 234   9.19641829  -4.676077970  -0.77979626  -5.175697880  -6.11037955
## 235   9.19641829  -4.676077970  -0.77979626  -5.175697880  -6.11037955
## 236   9.19641829  -4.676077970  -0.77979626  -5.175697880  -6.11037955
## 237   9.19641829  -4.676077970  -0.77979626  -5.175697880  -6.11037955
## 238   9.19641829  -4.676077970  -0.77979626  -5.175697880  -6.11037955
## 239   9.19641829  -4.676077970  -0.77979626  -5.175697880  -6.11037955
## 240   9.19641829  -4.676077970  -0.77979626  -5.175697880  -6.11037955
## 241  10.97271462 -17.151397353   1.35248101 -19.951908930 -35.60360271
## 242  10.97271462 -17.151397353   1.35248101 -19.951908930 -35.60360271
## 243  10.97271462 -17.151397353   1.35248101 -19.951908930 -35.60360271
## 244  10.97271462 -17.151397353   1.35248101 -19.951908930 -35.60360271
## 245  10.97271462 -17.151397353   1.35248101 -19.951908930 -35.60360271
## 246  10.97271462 -17.151397353   1.35248101 -19.951908930 -35.60360271
## 247  10.97271462 -17.151397353   1.35248101 -19.951908930 -35.60360271
## 248  10.97271462 -17.151397353   1.35248101 -19.951908930 -35.60360271
## 249 -10.40292563  -0.231225414  -6.66669697  -9.279497708   6.07800189
## 250 -10.40292563  -0.231225414  -6.66669697  -9.279497708   6.07800189
## 251 -10.40292563  -0.231225414  -6.66669697  -9.279497708   6.07800189
## 252 -10.40292563  -0.231225414  -6.66669697  -9.279497708   6.07800189
## 253 -10.40292563  -0.231225414  -6.66669697  -9.279497708   6.07800189
## 254 -10.40292563  -0.231225414  -6.66669697  -9.279497708   6.07800189
## 255 -10.40292563  -0.231225414  -6.66669697  -9.279497708   6.07800189
## 256 -10.40292563  -0.231225414  -6.66669697  -9.279497708   6.07800189
## 257  -1.86401640   1.858227291  -6.28138925   2.022027850  -0.71068039
## 258  -1.86401640   1.858227291  -6.28138925   2.022027850  -0.71068039
## 259  -1.86401640   1.858227291  -6.28138925   2.022027850  -0.71068039
## 260  -1.86401640   1.858227291  -6.28138925   2.022027850  -0.71068039
## 261  -1.86401640   1.858227291  -6.28138925   2.022027850  -0.71068039
## 262  -1.86401640   1.858227291  -6.28138925   2.022027850  -0.71068039
## 263  -1.86401640   1.858227291  -6.28138925   2.022027850  -0.71068039
## 264  -1.86401640   1.858227291  -6.28138925   2.022027850  -0.71068039
## 265  15.03612825 -29.665840276  37.71796016  -7.608771331  13.30670487
## 266  15.03612825 -29.665840276  37.71796016  -7.608771331  13.30670487
## 267  15.03612825 -29.665840276  37.71796016  -7.608771331  13.30670487
## 268  15.03612825 -29.665840276  37.71796016  -7.608771331  13.30670487
## 269  15.03612825 -29.665840276  37.71796016  -7.608771331  13.30670487
## 270  15.03612825 -29.665840276  37.71796016  -7.608771331  13.30670487
## 271  15.03612825 -29.665840276  37.71796016  -7.608771331  13.30670487
## 272  15.03612825 -29.665840276  37.71796016  -7.608771331  13.30670487
## 273  22.96302462  -7.612341751  22.20673521 -18.392964693 -30.46054713
## 274  22.96302462  -7.612341751  22.20673521 -18.392964693 -30.46054713
## 275  22.96302462  -7.612341751  22.20673521 -18.392964693 -30.46054713
## 276  22.96302462  -7.612341751  22.20673521 -18.392964693 -30.46054713
## 277  22.96302462  -7.612341751  22.20673521 -18.392964693 -30.46054713
## 278  22.96302462  -7.612341751  22.20673521 -18.392964693 -30.46054713
## 279  22.96302462  -7.612341751  22.20673521 -18.392964693 -30.46054713
## 280  22.96302462  -7.612341751  22.20673521 -18.392964693 -30.46054713
## 281 -21.55335569  13.022812914  -4.08295361   6.275191260  20.28287271
## 282 -21.55335569  13.022812914  -4.08295361   6.275191260  20.28287271
## 283 -21.55335569  13.022812914  -4.08295361   6.275191260  20.28287271
## 284 -21.55335569  13.022812914  -4.08295361   6.275191260  20.28287271
## 285 -21.55335569  13.022812914  -4.08295361   6.275191260  20.28287271
## 286 -21.55335569  13.022812914  -4.08295361   6.275191260  20.28287271
## 287 -21.55335569  13.022812914  -4.08295361   6.275191260  20.28287271
## 288 -21.55335569  13.022812914  -4.08295361   6.275191260  20.28287271
## 289  -6.92562049 -11.509721015  19.75270773   9.073468985  10.95395453
## 290  -6.92562049 -11.509721015  19.75270773   9.073468985  10.95395453
## 291  -6.92562049 -11.509721015  19.75270773   9.073468985  10.95395453
## 292  -6.92562049 -11.509721015  19.75270773   9.073468985  10.95395453
## 293  -6.92562049 -11.509721015  19.75270773   9.073468985  10.95395453
## 294  -6.92562049 -11.509721015  19.75270773   9.073468985  10.95395453
## 295  -6.92562049 -11.509721015  19.75270773   9.073468985  10.95395453
## 296  -6.92562049 -11.509721015  19.75270773   9.073468985  10.95395453
## 297   9.92991857   2.565449457   0.49216390  -1.010200300   7.89535828
## 298   9.92991857   2.565449457   0.49216390  -1.010200300   7.89535828
## 299   9.92991857   2.565449457   0.49216390  -1.010200300   7.89535828
## 300   9.92991857   2.565449457   0.49216390  -1.010200300   7.89535828
## 301   9.92991857   2.565449457   0.49216390  -1.010200300   7.89535828
## 302   9.92991857   2.565449457   0.49216390  -1.010200300   7.89535828
## 303   9.92991857   2.565449457   0.49216390  -1.010200300   7.89535828
## 304   9.92991857   2.565449457   0.49216390  -1.010200300   7.89535828
## 305  -0.15929398   2.756780842  -4.18193565  -3.749058690   6.64635224
## 306  -0.15929398   2.756780842  -4.18193565  -3.749058690   6.64635224
## 307  -0.15929398   2.756780842  -4.18193565  -3.749058690   6.64635224
## 308  -0.15929398   2.756780842  -4.18193565  -3.749058690   6.64635224
## 309  -0.15929398   2.756780842  -4.18193565  -3.749058690   6.64635224
## 310  -0.15929398   2.756780842  -4.18193565  -3.749058690   6.64635224
## 311  -0.15929398   2.756780842  -4.18193565  -3.749058690   6.64635224
## 312  -0.15929398   2.756780842  -4.18193565  -3.749058690   6.64635224
## 313  18.99580208  10.096246217   8.45580305  -0.649835358  -7.40381137
## 314  18.99580208  10.096246217   8.45580305  -0.649835358  -7.40381137
## 315  18.99580208  10.096246217   8.45580305  -0.649835358  -7.40381137
## 316  18.99580208  10.096246217   8.45580305  -0.649835358  -7.40381137
## 317  18.99580208  10.096246217   8.45580305  -0.649835358  -7.40381137
## 318  18.99580208  10.096246217   8.45580305  -0.649835358  -7.40381137
## 319  18.99580208  10.096246217   8.45580305  -0.649835358  -7.40381137
## 320  18.99580208  10.096246217   8.45580305  -0.649835358  -7.40381137
## 321   1.82408526  -2.006945819 -10.34182629   1.597724481  -4.68359721
## 322   1.82408526  -2.006945819 -10.34182629   1.597724481  -4.68359721
## 323   1.82408526  -2.006945819 -10.34182629   1.597724481  -4.68359721
## 324   1.82408526  -2.006945819 -10.34182629   1.597724481  -4.68359721
## 325   1.82408526  -2.006945819 -10.34182629   1.597724481  -4.68359721
## 326   1.82408526  -2.006945819 -10.34182629   1.597724481  -4.68359721
## 327   1.82408526  -2.006945819 -10.34182629   1.597724481  -4.68359721
## 328   1.82408526  -2.006945819 -10.34182629   1.597724481  -4.68359721
## 329  -3.40497980   2.899287230  -7.83049048   6.562776987  -1.08022509
## 330  -3.40497980   2.899287230  -7.83049048   6.562776987  -1.08022509
## 331  -3.40497980   2.899287230  -7.83049048   6.562776987  -1.08022509
## 332  -3.40497980   2.899287230  -7.83049048   6.562776987  -1.08022509
## 333  -3.40497980   2.899287230  -7.83049048   6.562776987  -1.08022509
## 334  -3.40497980   2.899287230  -7.83049048   6.562776987  -1.08022509
## 335  -3.40497980   2.899287230  -7.83049048   6.562776987  -1.08022509
## 336  -3.40497980   2.899287230  -7.83049048   6.562776987  -1.08022509
## 337 -10.36711227  20.449406803 -13.86139213  -3.232548145  -8.38732558
## 338 -10.36711227  20.449406803 -13.86139213  -3.232548145  -8.38732558
## 339 -10.36711227  20.449406803 -13.86139213  -3.232548145  -8.38732558
## 340 -10.36711227  20.449406803 -13.86139213  -3.232548145  -8.38732558
## 341 -10.36711227  20.449406803 -13.86139213  -3.232548145  -8.38732558
## 342 -10.36711227  20.449406803 -13.86139213  -3.232548145  -8.38732558
## 343 -10.36711227  20.449406803 -13.86139213  -3.232548145  -8.38732558
## 344 -10.36711227  20.449406803 -13.86139213  -3.232548145  -8.38732558
## 345 -26.86054547  13.962796962  13.75338281  11.346191598   7.29333275
## 346 -26.86054547  13.962796962  13.75338281  11.346191598   7.29333275
## 347 -26.86054547  13.962796962  13.75338281  11.346191598   7.29333275
## 348 -26.86054547  13.962796962  13.75338281  11.346191598   7.29333275
## 349 -26.86054547  13.962796962  13.75338281  11.346191598   7.29333275
## 350 -26.86054547  13.962796962  13.75338281  11.346191598   7.29333275
## 351 -26.86054547  13.962796962  13.75338281  11.346191598   7.29333275
## 352 -26.86054547  13.962796962  13.75338281  11.346191598   7.29333275
## 353   2.42169330   2.952381325  15.03169112   4.562686200   1.19632426
## 354   2.42169330   2.952381325  15.03169112   4.562686200   1.19632426
## 355   2.42169330   2.952381325  15.03169112   4.562686200   1.19632426
## 356   2.42169330   2.952381325  15.03169112   4.562686200   1.19632426
## 357   2.42169330   2.952381325  15.03169112   4.562686200   1.19632426
## 358   2.42169330   2.952381325  15.03169112   4.562686200   1.19632426
## 359   2.42169330   2.952381325  15.03169112   4.562686200   1.19632426
## 360   2.42169330   2.952381325  15.03169112   4.562686200   1.19632426
## 361   3.19335626  -2.190861683   1.37192576  -5.222818815   0.37285497
## 362   3.19335626  -2.190861683   1.37192576  -5.222818815   0.37285497
## 363   3.19335626  -2.190861683   1.37192576  -5.222818815   0.37285497
## 364   3.19335626  -2.190861683   1.37192576  -5.222818815   0.37285497
## 365   3.19335626  -2.190861683   1.37192576  -5.222818815   0.37285497
## 366   3.19335626  -2.190861683   1.37192576  -5.222818815   0.37285497
## 367   3.19335626  -2.190861683   1.37192576  -5.222818815   0.37285497
## 368   3.19335626  -2.190861683   1.37192576  -5.222818815   0.37285497
## 369   9.61536204 -10.837406088   6.27810843  17.070645057  -6.46153015
## 370   9.61536204 -10.837406088   6.27810843  17.070645057  -6.46153015
## 371   9.61536204 -10.837406088   6.27810843  17.070645057  -6.46153015
## 372   9.61536204 -10.837406088   6.27810843  17.070645057  -6.46153015
## 373   9.61536204 -10.837406088   6.27810843  17.070645057  -6.46153015
## 374   9.61536204 -10.837406088   6.27810843  17.070645057  -6.46153015
## 375   9.61536204 -10.837406088   6.27810843  17.070645057  -6.46153015
## 376   9.61536204 -10.837406088   6.27810843  17.070645057  -6.46153015
## 377  -2.10881680  19.170853418  -6.07396520 -10.063249346 -19.14069980
## 378  -2.10881680  19.170853418  -6.07396520 -10.063249346 -19.14069980
## 379  -2.10881680  19.170853418  -6.07396520 -10.063249346 -19.14069980
## 380  -2.10881680  19.170853418  -6.07396520 -10.063249346 -19.14069980
## 381  -2.10881680  19.170853418  -6.07396520 -10.063249346 -19.14069980
## 382  -2.10881680  19.170853418  -6.07396520 -10.063249346 -19.14069980
## 383  -2.10881680  19.170853418  -6.07396520 -10.063249346 -19.14069980
## 384  -2.10881680  19.170853418  -6.07396520 -10.063249346 -19.14069980
## 385  -2.20104017   2.646088130  -4.86752647   1.534531739  -2.76562877
## 386  -2.20104017   2.646088130  -4.86752647   1.534531739  -2.76562877
## 387  -2.20104017   2.646088130  -4.86752647   1.534531739  -2.76562877
## 388  -2.20104017   2.646088130  -4.86752647   1.534531739  -2.76562877
## 389  -2.20104017   2.646088130  -4.86752647   1.534531739  -2.76562877
## 390  -2.20104017   2.646088130  -4.86752647   1.534531739  -2.76562877
## 391  -2.20104017   2.646088130  -4.86752647   1.534531739  -2.76562877
## 392  -2.20104017   2.646088130  -4.86752647   1.534531739  -2.76562877
## 393  -2.21151000   1.022859664  -2.68465303  -3.878558303   0.36303999
## 394  -2.21151000   1.022859664  -2.68465303  -3.878558303   0.36303999
## 395  -2.21151000   1.022859664  -2.68465303  -3.878558303   0.36303999
## 396  -2.21151000   1.022859664  -2.68465303  -3.878558303   0.36303999
## 397  -2.21151000   1.022859664  -2.68465303  -3.878558303   0.36303999
## 398  -2.21151000   1.022859664  -2.68465303  -3.878558303   0.36303999
## 399  -2.21151000   1.022859664  -2.68465303  -3.878558303   0.36303999
## 400  -2.21151000   1.022859664  -2.68465303  -3.878558303   0.36303999
## 401  -3.89900051  23.989255597  -6.31164531   4.975642875   0.99628752
## 402  -3.89900051  23.989255597  -6.31164531   4.975642875   0.99628752
## 403  -3.89900051  23.989255597  -6.31164531   4.975642875   0.99628752
## 404  -3.89900051  23.989255597  -6.31164531   4.975642875   0.99628752
## 405  -3.89900051  23.989255597  -6.31164531   4.975642875   0.99628752
## 406  -3.89900051  23.989255597  -6.31164531   4.975642875   0.99628752
## 407  -3.89900051  23.989255597  -6.31164531   4.975642875   0.99628752
## 408  -3.89900051  23.989255597  -6.31164531   4.975642875   0.99628752
## 409 -11.73370935 -19.077001786 -23.57538843  17.421069252 -23.33678899
## 410 -11.73370935 -19.077001786 -23.57538843  17.421069252 -23.33678899
## 411 -11.73370935 -19.077001786 -23.57538843  17.421069252 -23.33678899
## 412 -11.73370935 -19.077001786 -23.57538843  17.421069252 -23.33678899
## 413 -11.73370935 -19.077001786 -23.57538843  17.421069252 -23.33678899
## 414 -11.73370935 -19.077001786 -23.57538843  17.421069252 -23.33678899
## 415 -11.73370935 -19.077001786 -23.57538843  17.421069252 -23.33678899
## 416 -11.73370935 -19.077001786 -23.57538843  17.421069252 -23.33678899
## 417   4.03850090   4.127088897   3.82635206  -5.430640922  -7.37966690
## 418   4.03850090   4.127088897   3.82635206  -5.430640922  -7.37966690
## 419   4.03850090   4.127088897   3.82635206  -5.430640922  -7.37966690
## 420   4.03850090   4.127088897   3.82635206  -5.430640922  -7.37966690
## 421   4.03850090   4.127088897   3.82635206  -5.430640922  -7.37966690
## 422   4.03850090   4.127088897   3.82635206  -5.430640922  -7.37966690
## 423   4.03850090   4.127088897   3.82635206  -5.430640922  -7.37966690
## 424   4.03850090   4.127088897   3.82635206  -5.430640922  -7.37966690
## 425  46.24073768  -4.472170720  -2.45284410  23.821482827 -14.20066902
## 426  46.24073768  -4.472170720  -2.45284410  23.821482827 -14.20066902
## 427  46.24073768  -4.472170720  -2.45284410  23.821482827 -14.20066902
## 428  46.24073768  -4.472170720  -2.45284410  23.821482827 -14.20066902
## 429  46.24073768  -4.472170720  -2.45284410  23.821482827 -14.20066902
## 430  46.24073768  -4.472170720  -2.45284410  23.821482827 -14.20066902
## 431  46.24073768  -4.472170720  -2.45284410  23.821482827 -14.20066902
## 432  46.24073768  -4.472170720  -2.45284410  23.821482827 -14.20066902
## 433  -4.21503853  -6.727585908  15.25001423   9.966999632  12.57717411
## 434  -4.21503853  -6.727585908  15.25001423   9.966999632  12.57717411
## 435  -4.21503853  -6.727585908  15.25001423   9.966999632  12.57717411
## 436  -4.21503853  -6.727585908  15.25001423   9.966999632  12.57717411
## 437  -4.21503853  -6.727585908  15.25001423   9.966999632  12.57717411
## 438  -4.21503853  -6.727585908  15.25001423   9.966999632  12.57717411
## 439  -4.21503853  -6.727585908  15.25001423   9.966999632  12.57717411
## 440  -4.21503853  -6.727585908  15.25001423   9.966999632  12.57717411
## 441  -2.27598864   2.858521157  -2.47861412  -1.951545262  -5.51414005
## 442  -2.27598864   2.858521157  -2.47861412  -1.951545262  -5.51414005
## 443  -2.27598864   2.858521157  -2.47861412  -1.951545262  -5.51414005
## 444  -2.27598864   2.858521157  -2.47861412  -1.951545262  -5.51414005
## 445  -2.27598864   2.858521157  -2.47861412  -1.951545262  -5.51414005
## 446  -2.27598864   2.858521157  -2.47861412  -1.951545262  -5.51414005
## 447  -2.27598864   2.858521157  -2.47861412  -1.951545262  -5.51414005
## 448  -2.27598864   2.858521157  -2.47861412  -1.951545262  -5.51414005
## 449   7.19124266  -2.104395778  -3.96411902   6.546558486   5.42381977
## 450   7.19124266  -2.104395778  -3.96411902   6.546558486   5.42381977
## 451   7.19124266  -2.104395778  -3.96411902   6.546558486   5.42381977
## 452   7.19124266  -2.104395778  -3.96411902   6.546558486   5.42381977
## 453   7.19124266  -2.104395778  -3.96411902   6.546558486   5.42381977
## 454   7.19124266  -2.104395778  -3.96411902   6.546558486   5.42381977
## 455   7.19124266  -2.104395778  -3.96411902   6.546558486   5.42381977
## 456   7.19124266  -2.104395778  -3.96411902   6.546558486   5.42381977
## 457   1.06669259 -12.447136844 -24.59703676  -1.389152634  10.79924353
## 458   1.06669259 -12.447136844 -24.59703676  -1.389152634  10.79924353
## 459   1.06669259 -12.447136844 -24.59703676  -1.389152634  10.79924353
## 460   1.06669259 -12.447136844 -24.59703676  -1.389152634  10.79924353
## 461   1.06669259 -12.447136844 -24.59703676  -1.389152634  10.79924353
## 462   1.06669259 -12.447136844 -24.59703676  -1.389152634  10.79924353
## 463   1.06669259 -12.447136844 -24.59703676  -1.389152634  10.79924353
## 464   1.06669259 -12.447136844 -24.59703676  -1.389152634  10.79924353
## 465  24.07657878   6.489128175 -65.58052468  21.974477938  -9.28575191
## 466  24.07657878   6.489128175 -65.58052468  21.974477938  -9.28575191
## 467  24.07657878   6.489128175 -65.58052468  21.974477938  -9.28575191
## 468  24.07657878   6.489128175 -65.58052468  21.974477938  -9.28575191
## 469  24.07657878   6.489128175 -65.58052468  21.974477938  -9.28575191
## 470  24.07657878   6.489128175 -65.58052468  21.974477938  -9.28575191
## 471  24.07657878   6.489128175 -65.58052468  21.974477938  -9.28575191
## 472  24.07657878   6.489128175 -65.58052468  21.974477938  -9.28575191
## 473   2.11415801  -3.722916613   1.11743854  -8.187354165  -2.53261057
## 474   2.11415801  -3.722916613   1.11743854  -8.187354165  -2.53261057
## 475   2.11415801  -3.722916613   1.11743854  -8.187354165  -2.53261057
## 476   2.11415801  -3.722916613   1.11743854  -8.187354165  -2.53261057
## 477   2.11415801  -3.722916613   1.11743854  -8.187354165  -2.53261057
## 478   2.11415801  -3.722916613   1.11743854  -8.187354165  -2.53261057
## 479   2.11415801  -3.722916613   1.11743854  -8.187354165  -2.53261057
## 480   2.11415801  -3.722916613   1.11743854  -8.187354165  -2.53261057
## 481   6.60289056  -2.607746901  -5.47329395   0.694558620  -4.15728238
## 482   6.60289056  -2.607746901  -5.47329395   0.694558620  -4.15728238
## 483   6.60289056  -2.607746901  -5.47329395   0.694558620  -4.15728238
## 484   6.60289056  -2.607746901  -5.47329395   0.694558620  -4.15728238
## 485   6.60289056  -2.607746901  -5.47329395   0.694558620  -4.15728238
## 486   6.60289056  -2.607746901  -5.47329395   0.694558620  -4.15728238
## 487   6.60289056  -2.607746901  -5.47329395   0.694558620  -4.15728238
## 488   6.60289056  -2.607746901  -5.47329395   0.694558620  -4.15728238
## 489  -1.78961014  -3.176564376   5.41169874   1.566553940   2.39789496
## 490  -1.78961014  -3.176564376   5.41169874   1.566553940   2.39789496
## 491  -1.78961014  -3.176564376   5.41169874   1.566553940   2.39789496
## 492  -1.78961014  -3.176564376   5.41169874   1.566553940   2.39789496
## 493  -1.78961014  -3.176564376   5.41169874   1.566553940   2.39789496
## 494  -1.78961014  -3.176564376   5.41169874   1.566553940   2.39789496
## 495  -1.78961014  -3.176564376   5.41169874   1.566553940   2.39789496
## 496  -1.78961014  -3.176564376   5.41169874   1.566553940   2.39789496
## 497  -8.91636280   1.660826380  -6.87602135   6.680474677  -0.94527540
## 498  -8.91636280   1.660826380  -6.87602135   6.680474677  -0.94527540
## 499  -8.91636280   1.660826380  -6.87602135   6.680474677  -0.94527540
## 500  -8.91636280   1.660826380  -6.87602135   6.680474677  -0.94527540
## 501  -8.91636280   1.660826380  -6.87602135   6.680474677  -0.94527540
## 502  -8.91636280   1.660826380  -6.87602135   6.680474677  -0.94527540
## 503  -8.91636280   1.660826380  -6.87602135   6.680474677  -0.94527540
## 504  -8.91636280   1.660826380  -6.87602135   6.680474677  -0.94527540
## 505   5.16886828  -6.665362338   2.31632777   2.321392322   1.33542238
## 506   5.16886828  -6.665362338   2.31632777   2.321392322   1.33542238
## 507   5.16886828  -6.665362338   2.31632777   2.321392322   1.33542238
## 508   5.16886828  -6.665362338   2.31632777   2.321392322   1.33542238
## 509   5.16886828  -6.665362338   2.31632777   2.321392322   1.33542238
## 510   5.16886828  -6.665362338   2.31632777   2.321392322   1.33542238
## 511   5.16886828  -6.665362338   2.31632777   2.321392322   1.33542238
## 512   5.16886828  -6.665362338   2.31632777   2.321392322   1.33542238
## 513  -3.20097459  -2.615772029   6.26336728  -5.420692715   2.34652187
## 514  -3.20097459  -2.615772029   6.26336728  -5.420692715   2.34652187
## 515  -3.20097459  -2.615772029   6.26336728  -5.420692715   2.34652187
## 516  -3.20097459  -2.615772029   6.26336728  -5.420692715   2.34652187
## 517  -3.20097459  -2.615772029   6.26336728  -5.420692715   2.34652187
## 518  -3.20097459  -2.615772029   6.26336728  -5.420692715   2.34652187
## 519  -3.20097459  -2.615772029   6.26336728  -5.420692715   2.34652187
## 520  -3.20097459  -2.615772029   6.26336728  -5.420692715   2.34652187
## 521   1.63127471 -41.374944503  -4.31988528  50.120101685   6.70795216
## 522   1.63127471 -41.374944503  -4.31988528  50.120101685   6.70795216
## 523   1.63127471 -41.374944503  -4.31988528  50.120101685   6.70795216
## 524   1.63127471 -41.374944503  -4.31988528  50.120101685   6.70795216
## 525   1.63127471 -41.374944503  -4.31988528  50.120101685   6.70795216
## 526   1.63127471 -41.374944503  -4.31988528  50.120101685   6.70795216
## 527   1.63127471 -41.374944503  -4.31988528  50.120101685   6.70795216
## 528   1.63127471 -41.374944503  -4.31988528  50.120101685   6.70795216
## 529  12.21158121   0.989389936  -6.22637132  -2.181714560  11.24298684
## 530  12.21158121   0.989389936  -6.22637132  -2.181714560  11.24298684
## 531  12.21158121   0.989389936  -6.22637132  -2.181714560  11.24298684
## 532  12.21158121   0.989389936  -6.22637132  -2.181714560  11.24298684
## 533  12.21158121   0.989389936  -6.22637132  -2.181714560  11.24298684
## 534  12.21158121   0.989389936  -6.22637132  -2.181714560  11.24298684
## 535  12.21158121   0.989389936  -6.22637132  -2.181714560  11.24298684
## 536  12.21158121   0.989389936  -6.22637132  -2.181714560  11.24298684
## 537  -9.67641647  -7.416329842 -14.55073878 -62.731857958  49.75892913
## 538  -9.67641647  -7.416329842 -14.55073878 -62.731857958  49.75892913
## 539  -9.67641647  -7.416329842 -14.55073878 -62.731857958  49.75892913
## 540  -9.67641647  -7.416329842 -14.55073878 -62.731857958  49.75892913
## 541  -9.67641647  -7.416329842 -14.55073878 -62.731857958  49.75892913
## 542  -9.67641647  -7.416329842 -14.55073878 -62.731857958  49.75892913
## 543  -9.67641647  -7.416329842 -14.55073878 -62.731857958  49.75892913
## 544  -9.67641647  -7.416329842 -14.55073878 -62.731857958  49.75892913
## 545  -0.92682634  -2.421165425   3.27228163   0.069447559   1.56467690
## 546  -0.92682634  -2.421165425   3.27228163   0.069447559   1.56467690
## 547  -0.92682634  -2.421165425   3.27228163   0.069447559   1.56467690
## 548  -0.92682634  -2.421165425   3.27228163   0.069447559   1.56467690
## 549  -0.92682634  -2.421165425   3.27228163   0.069447559   1.56467690
## 550  -0.92682634  -2.421165425   3.27228163   0.069447559   1.56467690
## 551  -0.92682634  -2.421165425   3.27228163   0.069447559   1.56467690
## 552  -0.92682634  -2.421165425   3.27228163   0.069447559   1.56467690
## 553  -4.78253992  -2.392810895   9.32363365  10.372959395  10.42907097
## 554  -4.78253992  -2.392810895   9.32363365  10.372959395  10.42907097
## 555  -4.78253992  -2.392810895   9.32363365  10.372959395  10.42907097
## 556  -4.78253992  -2.392810895   9.32363365  10.372959395  10.42907097
## 557  -4.78253992  -2.392810895   9.32363365  10.372959395  10.42907097
## 558  -4.78253992  -2.392810895   9.32363365  10.372959395  10.42907097
## 559  -4.78253992  -2.392810895   9.32363365  10.372959395  10.42907097
## 560  -4.78253992  -2.392810895   9.32363365  10.372959395  10.42907097
## 561  -5.63530937   9.401500420  -6.77783596   8.414013943  -3.52923263
## 562  -5.63530937   9.401500420  -6.77783596   8.414013943  -3.52923263
## 563  -5.63530937   9.401500420  -6.77783596   8.414013943  -3.52923263
## 564  -5.63530937   9.401500420  -6.77783596   8.414013943  -3.52923263
## 565  -5.63530937   9.401500420  -6.77783596   8.414013943  -3.52923263
## 566  -5.63530937   9.401500420  -6.77783596   8.414013943  -3.52923263
## 567  -5.63530937   9.401500420  -6.77783596   8.414013943  -3.52923263
## 568  -5.63530937   9.401500420  -6.77783596   8.414013943  -3.52923263
## 569   3.80319310   4.618457163  -3.57916748   4.482732152   2.39858077
## 570   3.80319310   4.618457163  -3.57916748   4.482732152   2.39858077
## 571   3.80319310   4.618457163  -3.57916748   4.482732152   2.39858077
## 572   3.80319310   4.618457163  -3.57916748   4.482732152   2.39858077
## 573   3.80319310   4.618457163  -3.57916748   4.482732152   2.39858077
## 574   3.80319310   4.618457163  -3.57916748   4.482732152   2.39858077
## 575   3.80319310   4.618457163  -3.57916748   4.482732152   2.39858077
## 576   3.80319310   4.618457163  -3.57916748   4.482732152   2.39858077
## 577  -7.62722174  -3.953353116  -3.93045455   4.864369635   1.43888397
## 578  -7.62722174  -3.953353116  -3.93045455   4.864369635   1.43888397
## 579  -7.62722174  -3.953353116  -3.93045455   4.864369635   1.43888397
## 580  -7.62722174  -3.953353116  -3.93045455   4.864369635   1.43888397
## 581  -7.62722174  -3.953353116  -3.93045455   4.864369635   1.43888397
## 582  -7.62722174  -3.953353116  -3.93045455   4.864369635   1.43888397
## 583  -7.62722174  -3.953353116  -3.93045455   4.864369635   1.43888397
## 584  -7.62722174  -3.953353116  -3.93045455   4.864369635   1.43888397
## 585  -0.17988142  -2.661311920   5.21729077   1.119076005   0.17234644
## 586  -0.17988142  -2.661311920   5.21729077   1.119076005   0.17234644
## 587  -0.17988142  -2.661311920   5.21729077   1.119076005   0.17234644
## 588  -0.17988142  -2.661311920   5.21729077   1.119076005   0.17234644
## 589  -0.17988142  -2.661311920   5.21729077   1.119076005   0.17234644
## 590  -0.17988142  -2.661311920   5.21729077   1.119076005   0.17234644
## 591  -0.17988142  -2.661311920   5.21729077   1.119076005   0.17234644
## 592  -0.17988142  -2.661311920   5.21729077   1.119076005   0.17234644
## 593   1.99483996  -4.986869059   1.72360707  -0.488043742  -4.07369914
## 594   1.99483996  -4.986869059   1.72360707  -0.488043742  -4.07369914
## 595   1.99483996  -4.986869059   1.72360707  -0.488043742  -4.07369914
## 596   1.99483996  -4.986869059   1.72360707  -0.488043742  -4.07369914
## 597   1.99483996  -4.986869059   1.72360707  -0.488043742  -4.07369914
## 598   1.99483996  -4.986869059   1.72360707  -0.488043742  -4.07369914
## 599   1.99483996  -4.986869059   1.72360707  -0.488043742  -4.07369914
## 600   1.99483996  -4.986869059   1.72360707  -0.488043742  -4.07369914
## 601  -6.38781010   2.226346582   0.53273993   9.020709038   5.42739448
## 602  -6.38781010   2.226346582   0.53273993   9.020709038   5.42739448
## 603  -6.38781010   2.226346582   0.53273993   9.020709038   5.42739448
## 604  -6.38781010   2.226346582   0.53273993   9.020709038   5.42739448
## 605  -6.38781010   2.226346582   0.53273993   9.020709038   5.42739448
## 606  -6.38781010   2.226346582   0.53273993   9.020709038   5.42739448
## 607  -6.38781010   2.226346582   0.53273993   9.020709038   5.42739448
## 608  -6.38781010   2.226346582   0.53273993   9.020709038   5.42739448
## 609   1.13101850   6.672671893  -1.85102889  -1.231314447   5.46950767
## 610   1.13101850   6.672671893  -1.85102889  -1.231314447   5.46950767
## 611   1.13101850   6.672671893  -1.85102889  -1.231314447   5.46950767
## 612   1.13101850   6.672671893  -1.85102889  -1.231314447   5.46950767
## 613   1.13101850   6.672671893  -1.85102889  -1.231314447   5.46950767
## 614   1.13101850   6.672671893  -1.85102889  -1.231314447   5.46950767
## 615   1.13101850   6.672671893  -1.85102889  -1.231314447   5.46950767
## 616   1.13101850   6.672671893  -1.85102889  -1.231314447   5.46950767
## 617 -24.66289622  28.037289571  -2.64828117 -13.122555238 -19.49062451
## 618 -24.66289622  28.037289571  -2.64828117 -13.122555238 -19.49062451
## 619 -24.66289622  28.037289571  -2.64828117 -13.122555238 -19.49062451
## 620 -24.66289622  28.037289571  -2.64828117 -13.122555238 -19.49062451
## 621 -24.66289622  28.037289571  -2.64828117 -13.122555238 -19.49062451
## 622 -24.66289622  28.037289571  -2.64828117 -13.122555238 -19.49062451
## 623 -24.66289622  28.037289571  -2.64828117 -13.122555238 -19.49062451
## 624 -24.66289622  28.037289571  -2.64828117 -13.122555238 -19.49062451
## 625  13.54790292  12.367198651  29.65368674  -6.118761146   4.91394189
## 626  13.54790292  12.367198651  29.65368674  -6.118761146   4.91394189
## 627  13.54790292  12.367198651  29.65368674  -6.118761146   4.91394189
## 628  13.54790292  12.367198651  29.65368674  -6.118761146   4.91394189
## 629  13.54790292  12.367198651  29.65368674  -6.118761146   4.91394189
## 630  13.54790292  12.367198651  29.65368674  -6.118761146   4.91394189
## 631  13.54790292  12.367198651  29.65368674  -6.118761146   4.91394189
## 632  13.54790292  12.367198651  29.65368674  -6.118761146   4.91394189
## 633  -5.84098254  -7.277992198   2.37997417 -11.785195883   7.90223882
## 634  -5.84098254  -7.277992198   2.37997417 -11.785195883   7.90223882
## 635  -5.84098254  -7.277992198   2.37997417 -11.785195883   7.90223882
## 636  -5.84098254  -7.277992198   2.37997417 -11.785195883   7.90223882
## 637  -5.84098254  -7.277992198   2.37997417 -11.785195883   7.90223882
## 638  -5.84098254  -7.277992198   2.37997417 -11.785195883   7.90223882
## 639  -5.84098254  -7.277992198   2.37997417 -11.785195883   7.90223882
## 640  -5.84098254  -7.277992198   2.37997417 -11.785195883   7.90223882
## 641   4.90147399   2.334347387   3.84390586  -3.705907357  -3.20362079
## 642   4.90147399   2.334347387   3.84390586  -3.705907357  -3.20362079
## 643   4.90147399   2.334347387   3.84390586  -3.705907357  -3.20362079
## 644   4.90147399   2.334347387   3.84390586  -3.705907357  -3.20362079
## 645   4.90147399   2.334347387   3.84390586  -3.705907357  -3.20362079
## 646   4.90147399   2.334347387   3.84390586  -3.705907357  -3.20362079
## 647   4.90147399   2.334347387   3.84390586  -3.705907357  -3.20362079
## 648   4.90147399   2.334347387   3.84390586  -3.705907357  -3.20362079
## 649  -7.29387931  14.573613618  -8.00215966  -7.870370084  18.57232990
## 650  -7.29387931  14.573613618  -8.00215966  -7.870370084  18.57232990
## 651  -7.29387931  14.573613618  -8.00215966  -7.870370084  18.57232990
## 652  -7.29387931  14.573613618  -8.00215966  -7.870370084  18.57232990
## 653  -7.29387931  14.573613618  -8.00215966  -7.870370084  18.57232990
## 654  -7.29387931  14.573613618  -8.00215966  -7.870370084  18.57232990
## 655  -7.29387931  14.573613618  -8.00215966  -7.870370084  18.57232990
## 656  -7.29387931  14.573613618  -8.00215966  -7.870370084  18.57232990
## 657 -21.20727799  -9.811215043 -15.62356115  15.086433177 -11.88406906
## 658 -21.20727799  -9.811215043 -15.62356115  15.086433177 -11.88406906
## 659 -21.20727799  -9.811215043 -15.62356115  15.086433177 -11.88406906
## 660 -21.20727799  -9.811215043 -15.62356115  15.086433177 -11.88406906
## 661 -21.20727799  -9.811215043 -15.62356115  15.086433177 -11.88406906
## 662 -21.20727799  -9.811215043 -15.62356115  15.086433177 -11.88406906
## 663 -21.20727799  -9.811215043 -15.62356115  15.086433177 -11.88406906
## 664 -21.20727799  -9.811215043 -15.62356115  15.086433177 -11.88406906
## 665  12.07737781  -8.113970775  -4.25476158  -5.914618996   4.68881792
## 666  12.07737781  -8.113970775  -4.25476158  -5.914618996   4.68881792
## 667  12.07737781  -8.113970775  -4.25476158  -5.914618996   4.68881792
## 668  12.07737781  -8.113970775  -4.25476158  -5.914618996   4.68881792
## 669  12.07737781  -8.113970775  -4.25476158  -5.914618996   4.68881792
## 670  12.07737781  -8.113970775  -4.25476158  -5.914618996   4.68881792
## 671  12.07737781  -8.113970775  -4.25476158  -5.914618996   4.68881792
## 672  12.07737781  -8.113970775  -4.25476158  -5.914618996   4.68881792
## 673  -2.23959126   1.368094393  -3.99485657   2.657215553   3.75452826
## 674  -2.23959126   1.368094393  -3.99485657   2.657215553   3.75452826
## 675  -2.23959126   1.368094393  -3.99485657   2.657215553   3.75452826
## 676  -2.23959126   1.368094393  -3.99485657   2.657215553   3.75452826
## 677  -2.23959126   1.368094393  -3.99485657   2.657215553   3.75452826
## 678  -2.23959126   1.368094393  -3.99485657   2.657215553   3.75452826
## 679  -2.23959126   1.368094393  -3.99485657   2.657215553   3.75452826
## 680  -2.23959126   1.368094393  -3.99485657   2.657215553   3.75452826
## 681   0.24499821   4.514446234  -2.50688288  -0.002020683  -5.09979377
## 682   0.24499821   4.514446234  -2.50688288  -0.002020683  -5.09979377
## 683   0.24499821   4.514446234  -2.50688288  -0.002020683  -5.09979377
## 684   0.24499821   4.514446234  -2.50688288  -0.002020683  -5.09979377
## 685   0.24499821   4.514446234  -2.50688288  -0.002020683  -5.09979377
## 686   0.24499821   4.514446234  -2.50688288  -0.002020683  -5.09979377
## 687   0.24499821   4.514446234  -2.50688288  -0.002020683  -5.09979377
## 688   0.24499821   4.514446234  -2.50688288  -0.002020683  -5.09979377
## 689   2.71679152   1.031680460  -0.50215706  -0.030039156  -4.47720042
## 690   2.71679152   1.031680460  -0.50215706  -0.030039156  -4.47720042
## 691   2.71679152   1.031680460  -0.50215706  -0.030039156  -4.47720042
## 692   2.71679152   1.031680460  -0.50215706  -0.030039156  -4.47720042
## 693   2.71679152   1.031680460  -0.50215706  -0.030039156  -4.47720042
## 694   2.71679152   1.031680460  -0.50215706  -0.030039156  -4.47720042
## 695   2.71679152   1.031680460  -0.50215706  -0.030039156  -4.47720042
## 696   2.71679152   1.031680460  -0.50215706  -0.030039156  -4.47720042
## 697 -14.94663221  -3.144798058 -14.58673211  -5.500190099   2.39645807
## 698 -14.94663221  -3.144798058 -14.58673211  -5.500190099   2.39645807
## 699 -14.94663221  -3.144798058 -14.58673211  -5.500190099   2.39645807
## 700 -14.94663221  -3.144798058 -14.58673211  -5.500190099   2.39645807
## 701 -14.94663221  -3.144798058 -14.58673211  -5.500190099   2.39645807
## 702 -14.94663221  -3.144798058 -14.58673211  -5.500190099   2.39645807
## 703 -14.94663221  -3.144798058 -14.58673211  -5.500190099   2.39645807
## 704 -14.94663221  -3.144798058 -14.58673211  -5.500190099   2.39645807
## 705   0.01839797  -0.910199788  -1.25466182  -1.549733194  -0.56028503
## 706   0.01839797  -0.910199788  -1.25466182  -1.549733194  -0.56028503
## 707   0.01839797  -0.910199788  -1.25466182  -1.549733194  -0.56028503
## 708   0.01839797  -0.910199788  -1.25466182  -1.549733194  -0.56028503
## 709   0.01839797  -0.910199788  -1.25466182  -1.549733194  -0.56028503
## 710   0.01839797  -0.910199788  -1.25466182  -1.549733194  -0.56028503
## 711   0.01839797  -0.910199788  -1.25466182  -1.549733194  -0.56028503
## 712   0.01839797  -0.910199788  -1.25466182  -1.549733194  -0.56028503
## 713  -5.31762306   6.520805625   4.82274745   7.044393405   7.08470576
## 714  -5.31762306   6.520805625   4.82274745   7.044393405   7.08470576
## 715  -5.31762306   6.520805625   4.82274745   7.044393405   7.08470576
## 716  -5.31762306   6.520805625   4.82274745   7.044393405   7.08470576
## 717  -5.31762306   6.520805625   4.82274745   7.044393405   7.08470576
## 718  -5.31762306   6.520805625   4.82274745   7.044393405   7.08470576
## 719  -5.31762306   6.520805625   4.82274745   7.044393405   7.08470576
## 720  -5.31762306   6.520805625   4.82274745   7.044393405   7.08470576
## 721  -9.45143232  -2.722813900   0.21642436  -2.927134258  -5.44546937
## 722  -9.45143232  -2.722813900   0.21642436  -2.927134258  -5.44546937
## 723  -9.45143232  -2.722813900   0.21642436  -2.927134258  -5.44546937
## 724  -9.45143232  -2.722813900   0.21642436  -2.927134258  -5.44546937
## 725  -9.45143232  -2.722813900   0.21642436  -2.927134258  -5.44546937
## 726  -9.45143232  -2.722813900   0.21642436  -2.927134258  -5.44546937
## 727  -9.45143232  -2.722813900   0.21642436  -2.927134258  -5.44546937
## 728  -9.45143232  -2.722813900   0.21642436  -2.927134258  -5.44546937
## 729  -3.24282703  -2.682680858  -3.06958489   1.118710925  -2.60440552
## 730  -3.24282703  -2.682680858  -3.06958489   1.118710925  -2.60440552
## 731  -3.24282703  -2.682680858  -3.06958489   1.118710925  -2.60440552
## 732  -3.24282703  -2.682680858  -3.06958489   1.118710925  -2.60440552
## 733  -3.24282703  -2.682680858  -3.06958489   1.118710925  -2.60440552
## 734  -3.24282703  -2.682680858  -3.06958489   1.118710925  -2.60440552
## 735  -3.24282703  -2.682680858  -3.06958489   1.118710925  -2.60440552
## 736  -3.24282703  -2.682680858  -3.06958489   1.118710925  -2.60440552
## 737   8.53825435  -1.703982533  -5.71058454 -12.399599199   1.18102045
## 738   8.53825435  -1.703982533  -5.71058454 -12.399599199   1.18102045
## 739   8.53825435  -1.703982533  -5.71058454 -12.399599199   1.18102045
## 740   8.53825435  -1.703982533  -5.71058454 -12.399599199   1.18102045
## 741   8.53825435  -1.703982533  -5.71058454 -12.399599199   1.18102045
## 742   8.53825435  -1.703982533  -5.71058454 -12.399599199   1.18102045
## 743   8.53825435  -1.703982533  -5.71058454 -12.399599199   1.18102045
## 744   8.53825435  -1.703982533  -5.71058454 -12.399599199   1.18102045
## 745   6.16827994  12.070551771  -2.96794777  -1.591198024  -4.53767573
## 746   6.16827994  12.070551771  -2.96794777  -1.591198024  -4.53767573
## 747   6.16827994  12.070551771  -2.96794777  -1.591198024  -4.53767573
## 748   6.16827994  12.070551771  -2.96794777  -1.591198024  -4.53767573
## 749   6.16827994  12.070551771  -2.96794777  -1.591198024  -4.53767573
## 750   6.16827994  12.070551771  -2.96794777  -1.591198024  -4.53767573
## 751   6.16827994  12.070551771  -2.96794777  -1.591198024  -4.53767573
## 752   6.16827994  12.070551771  -2.96794777  -1.591198024  -4.53767573
## 753   4.29238219  -5.019550363  -6.56066010   2.635664363  -0.16358555
## 754   4.29238219  -5.019550363  -6.56066010   2.635664363  -0.16358555
## 755   4.29238219  -5.019550363  -6.56066010   2.635664363  -0.16358555
## 756   4.29238219  -5.019550363  -6.56066010   2.635664363  -0.16358555
## 757   4.29238219  -5.019550363  -6.56066010   2.635664363  -0.16358555
## 758   4.29238219  -5.019550363  -6.56066010   2.635664363  -0.16358555
## 759   4.29238219  -5.019550363  -6.56066010   2.635664363  -0.16358555
## 760   4.29238219  -5.019550363  -6.56066010   2.635664363  -0.16358555
## 761   5.94683485   6.657213969   0.06815494  -7.274522796 -14.28180987
## 762   5.94683485   6.657213969   0.06815494  -7.274522796 -14.28180987
## 763   5.94683485   6.657213969   0.06815494  -7.274522796 -14.28180987
## 764   5.94683485   6.657213969   0.06815494  -7.274522796 -14.28180987
## 765   5.94683485   6.657213969   0.06815494  -7.274522796 -14.28180987
## 766   5.94683485   6.657213969   0.06815494  -7.274522796 -14.28180987
## 767   5.94683485   6.657213969   0.06815494  -7.274522796 -14.28180987
## 768   5.94683485   6.657213969   0.06815494  -7.274522796 -14.28180987
## 769  -0.84759145  11.153465327  -0.34727448  -0.300427259   8.36080051
## 770  -0.84759145  11.153465327  -0.34727448  -0.300427259   8.36080051
## 771  -0.84759145  11.153465327  -0.34727448  -0.300427259   8.36080051
## 772  -0.84759145  11.153465327  -0.34727448  -0.300427259   8.36080051
## 773  -0.84759145  11.153465327  -0.34727448  -0.300427259   8.36080051
## 774  -0.84759145  11.153465327  -0.34727448  -0.300427259   8.36080051
## 775  -0.84759145  11.153465327  -0.34727448  -0.300427259   8.36080051
## 776  -0.84759145  11.153465327  -0.34727448  -0.300427259   8.36080051
## 777 -33.32433477  -2.325954410  46.73802451 -18.907633595  -6.72011189
## 778 -33.32433477  -2.325954410  46.73802451 -18.907633595  -6.72011189
## 779 -33.32433477  -2.325954410  46.73802451 -18.907633595  -6.72011189
## 780 -33.32433477  -2.325954410  46.73802451 -18.907633595  -6.72011189
## 781 -33.32433477  -2.325954410  46.73802451 -18.907633595  -6.72011189
## 782 -33.32433477  -2.325954410  46.73802451 -18.907633595  -6.72011189
## 783 -33.32433477  -2.325954410  46.73802451 -18.907633595  -6.72011189
## 784 -33.32433477  -2.325954410  46.73802451 -18.907633595  -6.72011189
## 785  -0.43259972   0.546655610  -4.25070260  -1.832430845   1.64058319
## 786  -0.43259972   0.546655610  -4.25070260  -1.832430845   1.64058319
## 787  -0.43259972   0.546655610  -4.25070260  -1.832430845   1.64058319
## 788  -0.43259972   0.546655610  -4.25070260  -1.832430845   1.64058319
## 789  -0.43259972   0.546655610  -4.25070260  -1.832430845   1.64058319
## 790  -0.43259972   0.546655610  -4.25070260  -1.832430845   1.64058319
## 791  -0.43259972   0.546655610  -4.25070260  -1.832430845   1.64058319
## 792  -0.43259972   0.546655610  -4.25070260  -1.832430845   1.64058319
## 793  -1.26391576  -3.744063240   1.69612159  -1.975077268   8.61653231
## 794  -1.26391576  -3.744063240   1.69612159  -1.975077268   8.61653231
## 795  -1.26391576  -3.744063240   1.69612159  -1.975077268   8.61653231
## 796  -1.26391576  -3.744063240   1.69612159  -1.975077268   8.61653231
## 797  -1.26391576  -3.744063240   1.69612159  -1.975077268   8.61653231
## 798  -1.26391576  -3.744063240   1.69612159  -1.975077268   8.61653231
## 799  -1.26391576  -3.744063240   1.69612159  -1.975077268   8.61653231
##       PC58_score   PC59_score  PC60_score  PC61_score  PC62_score   PC63_score
## 1    12.16166299  14.84506111 -19.4441008 -11.6726908   7.7659229  -0.11330943
## 2    12.16166299  14.84506111 -19.4441008 -11.6726908   7.7659229  -0.11330943
## 3    12.16166299  14.84506111 -19.4441008 -11.6726908   7.7659229  -0.11330943
## 4    12.16166299  14.84506111 -19.4441008 -11.6726908   7.7659229  -0.11330943
## 5    12.16166299  14.84506111 -19.4441008 -11.6726908   7.7659229  -0.11330943
## 6    12.16166299  14.84506111 -19.4441008 -11.6726908   7.7659229  -0.11330943
## 7    12.16166299  14.84506111 -19.4441008 -11.6726908   7.7659229  -0.11330943
## 8    12.16166299  14.84506111 -19.4441008 -11.6726908   7.7659229  -0.11330943
## 9     4.63925607   3.74121019   0.6565200   2.9121341   3.9975989  -6.39431079
## 10    4.63925607   3.74121019   0.6565200   2.9121341   3.9975989  -6.39431079
## 11    4.63925607   3.74121019   0.6565200   2.9121341   3.9975989  -6.39431079
## 12    4.63925607   3.74121019   0.6565200   2.9121341   3.9975989  -6.39431079
## 13    4.63925607   3.74121019   0.6565200   2.9121341   3.9975989  -6.39431079
## 14    4.63925607   3.74121019   0.6565200   2.9121341   3.9975989  -6.39431079
## 15    4.63925607   3.74121019   0.6565200   2.9121341   3.9975989  -6.39431079
## 16    4.63925607   3.74121019   0.6565200   2.9121341   3.9975989  -6.39431079
## 17   -9.41974742   6.89815238 -17.1153840  -0.5725441  -1.8147565  17.07980999
## 18   -9.41974742   6.89815238 -17.1153840  -0.5725441  -1.8147565  17.07980999
## 19   -9.41974742   6.89815238 -17.1153840  -0.5725441  -1.8147565  17.07980999
## 20   -9.41974742   6.89815238 -17.1153840  -0.5725441  -1.8147565  17.07980999
## 21   -9.41974742   6.89815238 -17.1153840  -0.5725441  -1.8147565  17.07980999
## 22   -9.41974742   6.89815238 -17.1153840  -0.5725441  -1.8147565  17.07980999
## 23   -9.41974742   6.89815238 -17.1153840  -0.5725441  -1.8147565  17.07980999
## 24   -9.41974742   6.89815238 -17.1153840  -0.5725441  -1.8147565  17.07980999
## 25  -31.37247935 -17.41444905  -0.3182958  -2.9426745  -4.9449140  -4.09690953
## 26  -31.37247935 -17.41444905  -0.3182958  -2.9426745  -4.9449140  -4.09690953
## 27  -31.37247935 -17.41444905  -0.3182958  -2.9426745  -4.9449140  -4.09690953
## 28  -31.37247935 -17.41444905  -0.3182958  -2.9426745  -4.9449140  -4.09690953
## 29  -31.37247935 -17.41444905  -0.3182958  -2.9426745  -4.9449140  -4.09690953
## 30  -31.37247935 -17.41444905  -0.3182958  -2.9426745  -4.9449140  -4.09690953
## 31  -31.37247935 -17.41444905  -0.3182958  -2.9426745  -4.9449140  -4.09690953
## 32  -31.37247935 -17.41444905  -0.3182958  -2.9426745  -4.9449140  -4.09690953
## 33   37.61865931 -31.01145326   0.8015900 -61.2396469  33.3019377 -16.55529035
## 34   37.61865931 -31.01145326   0.8015900 -61.2396469  33.3019377 -16.55529035
## 35   37.61865931 -31.01145326   0.8015900 -61.2396469  33.3019377 -16.55529035
## 36   37.61865931 -31.01145326   0.8015900 -61.2396469  33.3019377 -16.55529035
## 37   37.61865931 -31.01145326   0.8015900 -61.2396469  33.3019377 -16.55529035
## 38   37.61865931 -31.01145326   0.8015900 -61.2396469  33.3019377 -16.55529035
## 39   37.61865931 -31.01145326   0.8015900 -61.2396469  33.3019377 -16.55529035
## 40   37.61865931 -31.01145326   0.8015900 -61.2396469  33.3019377 -16.55529035
## 41   -2.23709982  -1.77289942   3.0957872   4.0766678  -2.5315407 -15.31734295
## 42   -2.23709982  -1.77289942   3.0957872   4.0766678  -2.5315407 -15.31734295
## 43   -2.23709982  -1.77289942   3.0957872   4.0766678  -2.5315407 -15.31734295
## 44   -2.23709982  -1.77289942   3.0957872   4.0766678  -2.5315407 -15.31734295
## 45   -2.23709982  -1.77289942   3.0957872   4.0766678  -2.5315407 -15.31734295
## 46   -2.23709982  -1.77289942   3.0957872   4.0766678  -2.5315407 -15.31734295
## 47   -2.23709982  -1.77289942   3.0957872   4.0766678  -2.5315407 -15.31734295
## 48   -2.23709982  -1.77289942   3.0957872   4.0766678  -2.5315407 -15.31734295
## 49    4.48050426   1.25716761   5.0134822   0.3495808  -4.4187575   2.33646799
## 50    4.48050426   1.25716761   5.0134822   0.3495808  -4.4187575   2.33646799
## 51    4.48050426   1.25716761   5.0134822   0.3495808  -4.4187575   2.33646799
## 52    4.48050426   1.25716761   5.0134822   0.3495808  -4.4187575   2.33646799
## 53    4.48050426   1.25716761   5.0134822   0.3495808  -4.4187575   2.33646799
## 54    4.48050426   1.25716761   5.0134822   0.3495808  -4.4187575   2.33646799
## 55    4.48050426   1.25716761   5.0134822   0.3495808  -4.4187575   2.33646799
## 56    4.48050426   1.25716761   5.0134822   0.3495808  -4.4187575   2.33646799
## 57  -35.51935981  -6.55125146  22.0172721  20.8221432 -13.7499161  30.30763593
## 58  -35.51935981  -6.55125146  22.0172721  20.8221432 -13.7499161  30.30763593
## 59  -35.51935981  -6.55125146  22.0172721  20.8221432 -13.7499161  30.30763593
## 60  -35.51935981  -6.55125146  22.0172721  20.8221432 -13.7499161  30.30763593
## 61  -35.51935981  -6.55125146  22.0172721  20.8221432 -13.7499161  30.30763593
## 62  -35.51935981  -6.55125146  22.0172721  20.8221432 -13.7499161  30.30763593
## 63  -35.51935981  -6.55125146  22.0172721  20.8221432 -13.7499161  30.30763593
## 64  -35.51935981  -6.55125146  22.0172721  20.8221432 -13.7499161  30.30763593
## 65   11.45397096 -20.98196238   0.7554858   4.5316123  28.0072582  13.47204101
## 66   11.45397096 -20.98196238   0.7554858   4.5316123  28.0072582  13.47204101
## 67   11.45397096 -20.98196238   0.7554858   4.5316123  28.0072582  13.47204101
## 68   11.45397096 -20.98196238   0.7554858   4.5316123  28.0072582  13.47204101
## 69   11.45397096 -20.98196238   0.7554858   4.5316123  28.0072582  13.47204101
## 70   11.45397096 -20.98196238   0.7554858   4.5316123  28.0072582  13.47204101
## 71   11.45397096 -20.98196238   0.7554858   4.5316123  28.0072582  13.47204101
## 72   11.45397096 -20.98196238   0.7554858   4.5316123  28.0072582  13.47204101
## 73   29.82408071  -2.16024871 -24.9925917  37.6131557  20.6761284 -47.80320849
## 74   29.82408071  -2.16024871 -24.9925917  37.6131557  20.6761284 -47.80320849
## 75   29.82408071  -2.16024871 -24.9925917  37.6131557  20.6761284 -47.80320849
## 76   29.82408071  -2.16024871 -24.9925917  37.6131557  20.6761284 -47.80320849
## 77   29.82408071  -2.16024871 -24.9925917  37.6131557  20.6761284 -47.80320849
## 78   29.82408071  -2.16024871 -24.9925917  37.6131557  20.6761284 -47.80320849
## 79   29.82408071  -2.16024871 -24.9925917  37.6131557  20.6761284 -47.80320849
## 80   29.82408071  -2.16024871 -24.9925917  37.6131557  20.6761284 -47.80320849
## 81   -3.85402052 -13.71804208  17.3668173  18.7886143  -8.2245132   1.10453306
## 82   -3.85402052 -13.71804208  17.3668173  18.7886143  -8.2245132   1.10453306
## 83   -3.85402052 -13.71804208  17.3668173  18.7886143  -8.2245132   1.10453306
## 84   -3.85402052 -13.71804208  17.3668173  18.7886143  -8.2245132   1.10453306
## 85   -3.85402052 -13.71804208  17.3668173  18.7886143  -8.2245132   1.10453306
## 86   -3.85402052 -13.71804208  17.3668173  18.7886143  -8.2245132   1.10453306
## 87   -3.85402052 -13.71804208  17.3668173  18.7886143  -8.2245132   1.10453306
## 88   -3.85402052 -13.71804208  17.3668173  18.7886143  -8.2245132   1.10453306
## 89    6.76828736   5.60583255   5.5714743   3.0883843  -2.5523085   4.14809258
## 90    6.76828736   5.60583255   5.5714743   3.0883843  -2.5523085   4.14809258
## 91    6.76828736   5.60583255   5.5714743   3.0883843  -2.5523085   4.14809258
## 92    6.76828736   5.60583255   5.5714743   3.0883843  -2.5523085   4.14809258
## 93    6.76828736   5.60583255   5.5714743   3.0883843  -2.5523085   4.14809258
## 94    6.76828736   5.60583255   5.5714743   3.0883843  -2.5523085   4.14809258
## 95    6.76828736   5.60583255   5.5714743   3.0883843  -2.5523085   4.14809258
## 96    6.76828736   5.60583255   5.5714743   3.0883843  -2.5523085   4.14809258
## 97  -22.39005558  27.45085583  15.4549728 -15.6703143  14.1482897  26.36694617
## 98  -22.39005558  27.45085583  15.4549728 -15.6703143  14.1482897  26.36694617
## 99  -22.39005558  27.45085583  15.4549728 -15.6703143  14.1482897  26.36694617
## 100 -22.39005558  27.45085583  15.4549728 -15.6703143  14.1482897  26.36694617
## 101 -22.39005558  27.45085583  15.4549728 -15.6703143  14.1482897  26.36694617
## 102 -22.39005558  27.45085583  15.4549728 -15.6703143  14.1482897  26.36694617
## 103 -22.39005558  27.45085583  15.4549728 -15.6703143  14.1482897  26.36694617
## 104 -22.39005558  27.45085583  15.4549728 -15.6703143  14.1482897  26.36694617
## 105  -5.98160538   3.62593653   2.0694901 -10.0672103  -5.4574068  -4.78703479
## 106  -5.98160538   3.62593653   2.0694901 -10.0672103  -5.4574068  -4.78703479
## 107  -5.98160538   3.62593653   2.0694901 -10.0672103  -5.4574068  -4.78703479
## 108  -5.98160538   3.62593653   2.0694901 -10.0672103  -5.4574068  -4.78703479
## 109  -5.98160538   3.62593653   2.0694901 -10.0672103  -5.4574068  -4.78703479
## 110  -5.98160538   3.62593653   2.0694901 -10.0672103  -5.4574068  -4.78703479
## 111  -5.98160538   3.62593653   2.0694901 -10.0672103  -5.4574068  -4.78703479
## 112  -5.98160538   3.62593653   2.0694901 -10.0672103  -5.4574068  -4.78703479
## 113  -3.27966580   3.66397897  -2.6601051   4.0674587   0.3209012  -3.06435945
## 114  -3.27966580   3.66397897  -2.6601051   4.0674587   0.3209012  -3.06435945
## 115  -3.27966580   3.66397897  -2.6601051   4.0674587   0.3209012  -3.06435945
## 116  -3.27966580   3.66397897  -2.6601051   4.0674587   0.3209012  -3.06435945
## 117  -3.27966580   3.66397897  -2.6601051   4.0674587   0.3209012  -3.06435945
## 118  -3.27966580   3.66397897  -2.6601051   4.0674587   0.3209012  -3.06435945
## 119  -3.27966580   3.66397897  -2.6601051   4.0674587   0.3209012  -3.06435945
## 120  -3.27966580   3.66397897  -2.6601051   4.0674587   0.3209012  -3.06435945
## 121  11.26531422   7.03055527  27.0411854  15.1695877  12.9665958  -9.98922482
## 122  11.26531422   7.03055527  27.0411854  15.1695877  12.9665958  -9.98922482
## 123  11.26531422   7.03055527  27.0411854  15.1695877  12.9665958  -9.98922482
## 124  11.26531422   7.03055527  27.0411854  15.1695877  12.9665958  -9.98922482
## 125  11.26531422   7.03055527  27.0411854  15.1695877  12.9665958  -9.98922482
## 126  11.26531422   7.03055527  27.0411854  15.1695877  12.9665958  -9.98922482
## 127  11.26531422   7.03055527  27.0411854  15.1695877  12.9665958  -9.98922482
## 128  11.26531422   7.03055527  27.0411854  15.1695877  12.9665958  -9.98922482
## 129  -7.96543873 -19.90529254 -49.2699185   0.4902856 -20.4347558   0.95149142
## 130  -7.96543873 -19.90529254 -49.2699185   0.4902856 -20.4347558   0.95149142
## 131  -7.96543873 -19.90529254 -49.2699185   0.4902856 -20.4347558   0.95149142
## 132  -7.96543873 -19.90529254 -49.2699185   0.4902856 -20.4347558   0.95149142
## 133  -7.96543873 -19.90529254 -49.2699185   0.4902856 -20.4347558   0.95149142
## 134  -7.96543873 -19.90529254 -49.2699185   0.4902856 -20.4347558   0.95149142
## 135  -7.96543873 -19.90529254 -49.2699185   0.4902856 -20.4347558   0.95149142
## 136  -7.96543873 -19.90529254 -49.2699185   0.4902856 -20.4347558   0.95149142
## 137   3.42861156   2.48277775  -0.4093315  -2.5668156  -0.9994234   2.94590428
## 138   3.42861156   2.48277775  -0.4093315  -2.5668156  -0.9994234   2.94590428
## 139   3.42861156   2.48277775  -0.4093315  -2.5668156  -0.9994234   2.94590428
## 140   3.42861156   2.48277775  -0.4093315  -2.5668156  -0.9994234   2.94590428
## 141   3.42861156   2.48277775  -0.4093315  -2.5668156  -0.9994234   2.94590428
## 142   3.42861156   2.48277775  -0.4093315  -2.5668156  -0.9994234   2.94590428
## 143   3.42861156   2.48277775  -0.4093315  -2.5668156  -0.9994234   2.94590428
## 144   3.42861156   2.48277775  -0.4093315  -2.5668156  -0.9994234   2.94590428
## 145 -29.33813476   7.45212426  27.5395402 -34.2282338 -23.7511161   3.95498322
## 146 -29.33813476   7.45212426  27.5395402 -34.2282338 -23.7511161   3.95498322
## 147 -29.33813476   7.45212426  27.5395402 -34.2282338 -23.7511161   3.95498322
## 148 -29.33813476   7.45212426  27.5395402 -34.2282338 -23.7511161   3.95498322
## 149 -29.33813476   7.45212426  27.5395402 -34.2282338 -23.7511161   3.95498322
## 150 -29.33813476   7.45212426  27.5395402 -34.2282338 -23.7511161   3.95498322
## 151 -29.33813476   7.45212426  27.5395402 -34.2282338 -23.7511161   3.95498322
## 152 -29.33813476   7.45212426  27.5395402 -34.2282338 -23.7511161   3.95498322
## 153   4.70136320  -1.92063381   1.2186731   4.1371347   4.8707656  -4.18382955
## 154   4.70136320  -1.92063381   1.2186731   4.1371347   4.8707656  -4.18382955
## 155   4.70136320  -1.92063381   1.2186731   4.1371347   4.8707656  -4.18382955
## 156   4.70136320  -1.92063381   1.2186731   4.1371347   4.8707656  -4.18382955
## 157   4.70136320  -1.92063381   1.2186731   4.1371347   4.8707656  -4.18382955
## 158   4.70136320  -1.92063381   1.2186731   4.1371347   4.8707656  -4.18382955
## 159   4.70136320  -1.92063381   1.2186731   4.1371347   4.8707656  -4.18382955
## 160   4.70136320  -1.92063381   1.2186731   4.1371347   4.8707656  -4.18382955
## 161  -2.94029483   6.52666964  -8.1740022  34.5616395   7.1399202 -15.89176109
## 162  -2.94029483   6.52666964  -8.1740022  34.5616395   7.1399202 -15.89176109
## 163  -2.94029483   6.52666964  -8.1740022  34.5616395   7.1399202 -15.89176109
## 164  -2.94029483   6.52666964  -8.1740022  34.5616395   7.1399202 -15.89176109
## 165  -2.94029483   6.52666964  -8.1740022  34.5616395   7.1399202 -15.89176109
## 166  -2.94029483   6.52666964  -8.1740022  34.5616395   7.1399202 -15.89176109
## 167  -2.94029483   6.52666964  -8.1740022  34.5616395   7.1399202 -15.89176109
## 168  -2.94029483   6.52666964  -8.1740022  34.5616395   7.1399202 -15.89176109
## 169   3.42896430  -1.07843406   2.2525944   0.4505914   3.0079271  -0.29646936
## 170   3.42896430  -1.07843406   2.2525944   0.4505914   3.0079271  -0.29646936
## 171   3.42896430  -1.07843406   2.2525944   0.4505914   3.0079271  -0.29646936
## 172   3.42896430  -1.07843406   2.2525944   0.4505914   3.0079271  -0.29646936
## 173   3.42896430  -1.07843406   2.2525944   0.4505914   3.0079271  -0.29646936
## 174   3.42896430  -1.07843406   2.2525944   0.4505914   3.0079271  -0.29646936
## 175   3.42896430  -1.07843406   2.2525944   0.4505914   3.0079271  -0.29646936
## 176   3.42896430  -1.07843406   2.2525944   0.4505914   3.0079271  -0.29646936
## 177  -4.57309934  -2.25345720  -2.4176715   2.9217654  -4.5192550   0.40267538
## 178  -4.57309934  -2.25345720  -2.4176715   2.9217654  -4.5192550   0.40267538
## 179  -4.57309934  -2.25345720  -2.4176715   2.9217654  -4.5192550   0.40267538
## 180  -4.57309934  -2.25345720  -2.4176715   2.9217654  -4.5192550   0.40267538
## 181  -4.57309934  -2.25345720  -2.4176715   2.9217654  -4.5192550   0.40267538
## 182  -4.57309934  -2.25345720  -2.4176715   2.9217654  -4.5192550   0.40267538
## 183  -4.57309934  -2.25345720  -2.4176715   2.9217654  -4.5192550   0.40267538
## 184  -4.57309934  -2.25345720  -2.4176715   2.9217654  -4.5192550   0.40267538
## 185  -0.43504623  -0.18388625   2.9255236   3.0401042   3.1260636  -2.97316656
## 186  -0.43504623  -0.18388625   2.9255236   3.0401042   3.1260636  -2.97316656
## 187  -0.43504623  -0.18388625   2.9255236   3.0401042   3.1260636  -2.97316656
## 188  -0.43504623  -0.18388625   2.9255236   3.0401042   3.1260636  -2.97316656
## 189  -0.43504623  -0.18388625   2.9255236   3.0401042   3.1260636  -2.97316656
## 190  -0.43504623  -0.18388625   2.9255236   3.0401042   3.1260636  -2.97316656
## 191  -0.43504623  -0.18388625   2.9255236   3.0401042   3.1260636  -2.97316656
## 192  -0.43504623  -0.18388625   2.9255236   3.0401042   3.1260636  -2.97316656
## 193 -43.83442112   2.69179371  -3.5567336 -23.5262671  18.6487206 -21.58234003
## 194 -43.83442112   2.69179371  -3.5567336 -23.5262671  18.6487206 -21.58234003
## 195 -43.83442112   2.69179371  -3.5567336 -23.5262671  18.6487206 -21.58234003
## 196 -43.83442112   2.69179371  -3.5567336 -23.5262671  18.6487206 -21.58234003
## 197 -43.83442112   2.69179371  -3.5567336 -23.5262671  18.6487206 -21.58234003
## 198 -43.83442112   2.69179371  -3.5567336 -23.5262671  18.6487206 -21.58234003
## 199 -43.83442112   2.69179371  -3.5567336 -23.5262671  18.6487206 -21.58234003
## 200 -43.83442112   2.69179371  -3.5567336 -23.5262671  18.6487206 -21.58234003
## 201  -3.93227578  -2.85049128  -7.5532411  -0.7358447   1.2609498   0.21161799
## 202  -3.93227578  -2.85049128  -7.5532411  -0.7358447   1.2609498   0.21161799
## 203  -3.93227578  -2.85049128  -7.5532411  -0.7358447   1.2609498   0.21161799
## 204  -3.93227578  -2.85049128  -7.5532411  -0.7358447   1.2609498   0.21161799
## 205  -3.93227578  -2.85049128  -7.5532411  -0.7358447   1.2609498   0.21161799
## 206  -3.93227578  -2.85049128  -7.5532411  -0.7358447   1.2609498   0.21161799
## 207  -3.93227578  -2.85049128  -7.5532411  -0.7358447   1.2609498   0.21161799
## 208  -3.93227578  -2.85049128  -7.5532411  -0.7358447   1.2609498   0.21161799
## 209   0.50534452   0.31249062   1.5872644  -4.9703356   3.6384838   3.76365099
## 210   0.50534452   0.31249062   1.5872644  -4.9703356   3.6384838   3.76365099
## 211   0.50534452   0.31249062   1.5872644  -4.9703356   3.6384838   3.76365099
## 212   0.50534452   0.31249062   1.5872644  -4.9703356   3.6384838   3.76365099
## 213   0.50534452   0.31249062   1.5872644  -4.9703356   3.6384838   3.76365099
## 214   0.50534452   0.31249062   1.5872644  -4.9703356   3.6384838   3.76365099
## 215   0.50534452   0.31249062   1.5872644  -4.9703356   3.6384838   3.76365099
## 216   0.50534452   0.31249062   1.5872644  -4.9703356   3.6384838   3.76365099
## 217   2.83642586  -0.41011539  -1.1703011   1.4023914   0.9040301  -1.25555383
## 218   2.83642586  -0.41011539  -1.1703011   1.4023914   0.9040301  -1.25555383
## 219   2.83642586  -0.41011539  -1.1703011   1.4023914   0.9040301  -1.25555383
## 220   2.83642586  -0.41011539  -1.1703011   1.4023914   0.9040301  -1.25555383
## 221   2.83642586  -0.41011539  -1.1703011   1.4023914   0.9040301  -1.25555383
## 222   2.83642586  -0.41011539  -1.1703011   1.4023914   0.9040301  -1.25555383
## 223   2.83642586  -0.41011539  -1.1703011   1.4023914   0.9040301  -1.25555383
## 224   2.83642586  -0.41011539  -1.1703011   1.4023914   0.9040301  -1.25555383
## 225  -0.07122256  -0.51866569   4.4366567   0.2848008  -8.8500467  -0.90571778
## 226  -0.07122256  -0.51866569   4.4366567   0.2848008  -8.8500467  -0.90571778
## 227  -0.07122256  -0.51866569   4.4366567   0.2848008  -8.8500467  -0.90571778
## 228  -0.07122256  -0.51866569   4.4366567   0.2848008  -8.8500467  -0.90571778
## 229  -0.07122256  -0.51866569   4.4366567   0.2848008  -8.8500467  -0.90571778
## 230  -0.07122256  -0.51866569   4.4366567   0.2848008  -8.8500467  -0.90571778
## 231  -0.07122256  -0.51866569   4.4366567   0.2848008  -8.8500467  -0.90571778
## 232  -0.07122256  -0.51866569   4.4366567   0.2848008  -8.8500467  -0.90571778
## 233  -0.73969717  -4.38949309  -9.5611277   3.6731995   1.5395144   4.86253003
## 234  -0.73969717  -4.38949309  -9.5611277   3.6731995   1.5395144   4.86253003
## 235  -0.73969717  -4.38949309  -9.5611277   3.6731995   1.5395144   4.86253003
## 236  -0.73969717  -4.38949309  -9.5611277   3.6731995   1.5395144   4.86253003
## 237  -0.73969717  -4.38949309  -9.5611277   3.6731995   1.5395144   4.86253003
## 238  -0.73969717  -4.38949309  -9.5611277   3.6731995   1.5395144   4.86253003
## 239  -0.73969717  -4.38949309  -9.5611277   3.6731995   1.5395144   4.86253003
## 240  -0.73969717  -4.38949309  -9.5611277   3.6731995   1.5395144   4.86253003
## 241  -9.31446327  16.48120843 -30.9691438  37.4537484  15.1795312  -7.43650022
## 242  -9.31446327  16.48120843 -30.9691438  37.4537484  15.1795312  -7.43650022
## 243  -9.31446327  16.48120843 -30.9691438  37.4537484  15.1795312  -7.43650022
## 244  -9.31446327  16.48120843 -30.9691438  37.4537484  15.1795312  -7.43650022
## 245  -9.31446327  16.48120843 -30.9691438  37.4537484  15.1795312  -7.43650022
## 246  -9.31446327  16.48120843 -30.9691438  37.4537484  15.1795312  -7.43650022
## 247  -9.31446327  16.48120843 -30.9691438  37.4537484  15.1795312  -7.43650022
## 248  -9.31446327  16.48120843 -30.9691438  37.4537484  15.1795312  -7.43650022
## 249   3.13681842   6.15107271  -6.0499968 -14.1823946  -1.3007450  -9.58266511
## 250   3.13681842   6.15107271  -6.0499968 -14.1823946  -1.3007450  -9.58266511
## 251   3.13681842   6.15107271  -6.0499968 -14.1823946  -1.3007450  -9.58266511
## 252   3.13681842   6.15107271  -6.0499968 -14.1823946  -1.3007450  -9.58266511
## 253   3.13681842   6.15107271  -6.0499968 -14.1823946  -1.3007450  -9.58266511
## 254   3.13681842   6.15107271  -6.0499968 -14.1823946  -1.3007450  -9.58266511
## 255   3.13681842   6.15107271  -6.0499968 -14.1823946  -1.3007450  -9.58266511
## 256   3.13681842   6.15107271  -6.0499968 -14.1823946  -1.3007450  -9.58266511
## 257   2.38702368  -0.45612165  -7.5578898  -5.4371523   7.3448685   6.14801862
## 258   2.38702368  -0.45612165  -7.5578898  -5.4371523   7.3448685   6.14801862
## 259   2.38702368  -0.45612165  -7.5578898  -5.4371523   7.3448685   6.14801862
## 260   2.38702368  -0.45612165  -7.5578898  -5.4371523   7.3448685   6.14801862
## 261   2.38702368  -0.45612165  -7.5578898  -5.4371523   7.3448685   6.14801862
## 262   2.38702368  -0.45612165  -7.5578898  -5.4371523   7.3448685   6.14801862
## 263   2.38702368  -0.45612165  -7.5578898  -5.4371523   7.3448685   6.14801862
## 264   2.38702368  -0.45612165  -7.5578898  -5.4371523   7.3448685   6.14801862
## 265  18.40333519   9.99141484 -10.2622804  13.9891612  -3.7080586   7.50641209
## 266  18.40333519   9.99141484 -10.2622804  13.9891612  -3.7080586   7.50641209
## 267  18.40333519   9.99141484 -10.2622804  13.9891612  -3.7080586   7.50641209
## 268  18.40333519   9.99141484 -10.2622804  13.9891612  -3.7080586   7.50641209
## 269  18.40333519   9.99141484 -10.2622804  13.9891612  -3.7080586   7.50641209
## 270  18.40333519   9.99141484 -10.2622804  13.9891612  -3.7080586   7.50641209
## 271  18.40333519   9.99141484 -10.2622804  13.9891612  -3.7080586   7.50641209
## 272  18.40333519   9.99141484 -10.2622804  13.9891612  -3.7080586   7.50641209
## 273  19.00994035 -15.11967727  25.7825675   2.1562568  -5.9401533  -3.78261272
## 274  19.00994035 -15.11967727  25.7825675   2.1562568  -5.9401533  -3.78261272
## 275  19.00994035 -15.11967727  25.7825675   2.1562568  -5.9401533  -3.78261272
## 276  19.00994035 -15.11967727  25.7825675   2.1562568  -5.9401533  -3.78261272
## 277  19.00994035 -15.11967727  25.7825675   2.1562568  -5.9401533  -3.78261272
## 278  19.00994035 -15.11967727  25.7825675   2.1562568  -5.9401533  -3.78261272
## 279  19.00994035 -15.11967727  25.7825675   2.1562568  -5.9401533  -3.78261272
## 280  19.00994035 -15.11967727  25.7825675   2.1562568  -5.9401533  -3.78261272
## 281 -14.37480772 -16.56485743 -10.6802903  -3.5110637  -1.2173280 -10.51114996
## 282 -14.37480772 -16.56485743 -10.6802903  -3.5110637  -1.2173280 -10.51114996
## 283 -14.37480772 -16.56485743 -10.6802903  -3.5110637  -1.2173280 -10.51114996
## 284 -14.37480772 -16.56485743 -10.6802903  -3.5110637  -1.2173280 -10.51114996
## 285 -14.37480772 -16.56485743 -10.6802903  -3.5110637  -1.2173280 -10.51114996
## 286 -14.37480772 -16.56485743 -10.6802903  -3.5110637  -1.2173280 -10.51114996
## 287 -14.37480772 -16.56485743 -10.6802903  -3.5110637  -1.2173280 -10.51114996
## 288 -14.37480772 -16.56485743 -10.6802903  -3.5110637  -1.2173280 -10.51114996
## 289  14.01009627   3.82170837 -20.1733888  -1.3828562  -8.7531634  40.15543028
## 290  14.01009627   3.82170837 -20.1733888  -1.3828562  -8.7531634  40.15543028
## 291  14.01009627   3.82170837 -20.1733888  -1.3828562  -8.7531634  40.15543028
## 292  14.01009627   3.82170837 -20.1733888  -1.3828562  -8.7531634  40.15543028
## 293  14.01009627   3.82170837 -20.1733888  -1.3828562  -8.7531634  40.15543028
## 294  14.01009627   3.82170837 -20.1733888  -1.3828562  -8.7531634  40.15543028
## 295  14.01009627   3.82170837 -20.1733888  -1.3828562  -8.7531634  40.15543028
## 296  14.01009627   3.82170837 -20.1733888  -1.3828562  -8.7531634  40.15543028
## 297  -8.83887790   6.55137836  -0.6211691   7.8767186  -4.7448065   8.89663041
## 298  -8.83887790   6.55137836  -0.6211691   7.8767186  -4.7448065   8.89663041
## 299  -8.83887790   6.55137836  -0.6211691   7.8767186  -4.7448065   8.89663041
## 300  -8.83887790   6.55137836  -0.6211691   7.8767186  -4.7448065   8.89663041
## 301  -8.83887790   6.55137836  -0.6211691   7.8767186  -4.7448065   8.89663041
## 302  -8.83887790   6.55137836  -0.6211691   7.8767186  -4.7448065   8.89663041
## 303  -8.83887790   6.55137836  -0.6211691   7.8767186  -4.7448065   8.89663041
## 304  -8.83887790   6.55137836  -0.6211691   7.8767186  -4.7448065   8.89663041
## 305  -3.15275749   1.84630000   5.7815535  -1.6151380  -2.5655385   0.68957209
## 306  -3.15275749   1.84630000   5.7815535  -1.6151380  -2.5655385   0.68957209
## 307  -3.15275749   1.84630000   5.7815535  -1.6151380  -2.5655385   0.68957209
## 308  -3.15275749   1.84630000   5.7815535  -1.6151380  -2.5655385   0.68957209
## 309  -3.15275749   1.84630000   5.7815535  -1.6151380  -2.5655385   0.68957209
## 310  -3.15275749   1.84630000   5.7815535  -1.6151380  -2.5655385   0.68957209
## 311  -3.15275749   1.84630000   5.7815535  -1.6151380  -2.5655385   0.68957209
## 312  -3.15275749   1.84630000   5.7815535  -1.6151380  -2.5655385   0.68957209
## 313   9.33982410  -1.16605358  12.3441402  -2.1311178  -7.2906988  -2.22735987
## 314   9.33982410  -1.16605358  12.3441402  -2.1311178  -7.2906988  -2.22735987
## 315   9.33982410  -1.16605358  12.3441402  -2.1311178  -7.2906988  -2.22735987
## 316   9.33982410  -1.16605358  12.3441402  -2.1311178  -7.2906988  -2.22735987
## 317   9.33982410  -1.16605358  12.3441402  -2.1311178  -7.2906988  -2.22735987
## 318   9.33982410  -1.16605358  12.3441402  -2.1311178  -7.2906988  -2.22735987
## 319   9.33982410  -1.16605358  12.3441402  -2.1311178  -7.2906988  -2.22735987
## 320   9.33982410  -1.16605358  12.3441402  -2.1311178  -7.2906988  -2.22735987
## 321  -9.19007387  -1.73336906   0.6098882 -11.6427547   3.0966593  -4.61215976
## 322  -9.19007387  -1.73336906   0.6098882 -11.6427547   3.0966593  -4.61215976
## 323  -9.19007387  -1.73336906   0.6098882 -11.6427547   3.0966593  -4.61215976
## 324  -9.19007387  -1.73336906   0.6098882 -11.6427547   3.0966593  -4.61215976
## 325  -9.19007387  -1.73336906   0.6098882 -11.6427547   3.0966593  -4.61215976
## 326  -9.19007387  -1.73336906   0.6098882 -11.6427547   3.0966593  -4.61215976
## 327  -9.19007387  -1.73336906   0.6098882 -11.6427547   3.0966593  -4.61215976
## 328  -9.19007387  -1.73336906   0.6098882 -11.6427547   3.0966593  -4.61215976
## 329   8.08442371   0.99990529 -15.2280052  -7.5888886   4.1923869  -2.07336780
## 330   8.08442371   0.99990529 -15.2280052  -7.5888886   4.1923869  -2.07336780
## 331   8.08442371   0.99990529 -15.2280052  -7.5888886   4.1923869  -2.07336780
## 332   8.08442371   0.99990529 -15.2280052  -7.5888886   4.1923869  -2.07336780
## 333   8.08442371   0.99990529 -15.2280052  -7.5888886   4.1923869  -2.07336780
## 334   8.08442371   0.99990529 -15.2280052  -7.5888886   4.1923869  -2.07336780
## 335   8.08442371   0.99990529 -15.2280052  -7.5888886   4.1923869  -2.07336780
## 336   8.08442371   0.99990529 -15.2280052  -7.5888886   4.1923869  -2.07336780
## 337   1.23771845   8.38668972  -6.9038054   1.6055585   2.2865277  -2.70930947
## 338   1.23771845   8.38668972  -6.9038054   1.6055585   2.2865277  -2.70930947
## 339   1.23771845   8.38668972  -6.9038054   1.6055585   2.2865277  -2.70930947
## 340   1.23771845   8.38668972  -6.9038054   1.6055585   2.2865277  -2.70930947
## 341   1.23771845   8.38668972  -6.9038054   1.6055585   2.2865277  -2.70930947
## 342   1.23771845   8.38668972  -6.9038054   1.6055585   2.2865277  -2.70930947
## 343   1.23771845   8.38668972  -6.9038054   1.6055585   2.2865277  -2.70930947
## 344   1.23771845   8.38668972  -6.9038054   1.6055585   2.2865277  -2.70930947
## 345  -9.36215989  -1.47634115  -7.3293571  -4.2879673  -6.6842282  21.06938288
## 346  -9.36215989  -1.47634115  -7.3293571  -4.2879673  -6.6842282  21.06938288
## 347  -9.36215989  -1.47634115  -7.3293571  -4.2879673  -6.6842282  21.06938288
## 348  -9.36215989  -1.47634115  -7.3293571  -4.2879673  -6.6842282  21.06938288
## 349  -9.36215989  -1.47634115  -7.3293571  -4.2879673  -6.6842282  21.06938288
## 350  -9.36215989  -1.47634115  -7.3293571  -4.2879673  -6.6842282  21.06938288
## 351  -9.36215989  -1.47634115  -7.3293571  -4.2879673  -6.6842282  21.06938288
## 352  -9.36215989  -1.47634115  -7.3293571  -4.2879673  -6.6842282  21.06938288
## 353  -8.50534064  -1.22520313  22.4111624  16.8327337 -24.8127264 -37.16589664
## 354  -8.50534064  -1.22520313  22.4111624  16.8327337 -24.8127264 -37.16589664
## 355  -8.50534064  -1.22520313  22.4111624  16.8327337 -24.8127264 -37.16589664
## 356  -8.50534064  -1.22520313  22.4111624  16.8327337 -24.8127264 -37.16589664
## 357  -8.50534064  -1.22520313  22.4111624  16.8327337 -24.8127264 -37.16589664
## 358  -8.50534064  -1.22520313  22.4111624  16.8327337 -24.8127264 -37.16589664
## 359  -8.50534064  -1.22520313  22.4111624  16.8327337 -24.8127264 -37.16589664
## 360  -8.50534064  -1.22520313  22.4111624  16.8327337 -24.8127264 -37.16589664
## 361  -2.39834294  -0.54318256   0.3903760  -2.5359722  -0.5789867   2.38476585
## 362  -2.39834294  -0.54318256   0.3903760  -2.5359722  -0.5789867   2.38476585
## 363  -2.39834294  -0.54318256   0.3903760  -2.5359722  -0.5789867   2.38476585
## 364  -2.39834294  -0.54318256   0.3903760  -2.5359722  -0.5789867   2.38476585
## 365  -2.39834294  -0.54318256   0.3903760  -2.5359722  -0.5789867   2.38476585
## 366  -2.39834294  -0.54318256   0.3903760  -2.5359722  -0.5789867   2.38476585
## 367  -2.39834294  -0.54318256   0.3903760  -2.5359722  -0.5789867   2.38476585
## 368  -2.39834294  -0.54318256   0.3903760  -2.5359722  -0.5789867   2.38476585
## 369  18.93761617   8.02123085  -6.0101947 -25.1346696  -1.7654091 -26.90763672
## 370  18.93761617   8.02123085  -6.0101947 -25.1346696  -1.7654091 -26.90763672
## 371  18.93761617   8.02123085  -6.0101947 -25.1346696  -1.7654091 -26.90763672
## 372  18.93761617   8.02123085  -6.0101947 -25.1346696  -1.7654091 -26.90763672
## 373  18.93761617   8.02123085  -6.0101947 -25.1346696  -1.7654091 -26.90763672
## 374  18.93761617   8.02123085  -6.0101947 -25.1346696  -1.7654091 -26.90763672
## 375  18.93761617   8.02123085  -6.0101947 -25.1346696  -1.7654091 -26.90763672
## 376  18.93761617   8.02123085  -6.0101947 -25.1346696  -1.7654091 -26.90763672
## 377   8.73561652   2.13541015  14.7184479  25.3762116 -10.3473230 -19.11886316
## 378   8.73561652   2.13541015  14.7184479  25.3762116 -10.3473230 -19.11886316
## 379   8.73561652   2.13541015  14.7184479  25.3762116 -10.3473230 -19.11886316
## 380   8.73561652   2.13541015  14.7184479  25.3762116 -10.3473230 -19.11886316
## 381   8.73561652   2.13541015  14.7184479  25.3762116 -10.3473230 -19.11886316
## 382   8.73561652   2.13541015  14.7184479  25.3762116 -10.3473230 -19.11886316
## 383   8.73561652   2.13541015  14.7184479  25.3762116 -10.3473230 -19.11886316
## 384   8.73561652   2.13541015  14.7184479  25.3762116 -10.3473230 -19.11886316
## 385   4.76614085   4.97013088  -4.3255720   0.1576125  -6.0386007  -9.37749994
## 386   4.76614085   4.97013088  -4.3255720   0.1576125  -6.0386007  -9.37749994
## 387   4.76614085   4.97013088  -4.3255720   0.1576125  -6.0386007  -9.37749994
## 388   4.76614085   4.97013088  -4.3255720   0.1576125  -6.0386007  -9.37749994
## 389   4.76614085   4.97013088  -4.3255720   0.1576125  -6.0386007  -9.37749994
## 390   4.76614085   4.97013088  -4.3255720   0.1576125  -6.0386007  -9.37749994
## 391   4.76614085   4.97013088  -4.3255720   0.1576125  -6.0386007  -9.37749994
## 392   4.76614085   4.97013088  -4.3255720   0.1576125  -6.0386007  -9.37749994
## 393  -1.35797230   3.59369403   6.7359902   0.7509603   0.4769465  -2.44680328
## 394  -1.35797230   3.59369403   6.7359902   0.7509603   0.4769465  -2.44680328
## 395  -1.35797230   3.59369403   6.7359902   0.7509603   0.4769465  -2.44680328
## 396  -1.35797230   3.59369403   6.7359902   0.7509603   0.4769465  -2.44680328
## 397  -1.35797230   3.59369403   6.7359902   0.7509603   0.4769465  -2.44680328
## 398  -1.35797230   3.59369403   6.7359902   0.7509603   0.4769465  -2.44680328
## 399  -1.35797230   3.59369403   6.7359902   0.7509603   0.4769465  -2.44680328
## 400  -1.35797230   3.59369403   6.7359902   0.7509603   0.4769465  -2.44680328
## 401  -0.87142466  16.58860211 -17.4723060  -0.1954444  -6.0083887 -10.14222296
## 402  -0.87142466  16.58860211 -17.4723060  -0.1954444  -6.0083887 -10.14222296
## 403  -0.87142466  16.58860211 -17.4723060  -0.1954444  -6.0083887 -10.14222296
## 404  -0.87142466  16.58860211 -17.4723060  -0.1954444  -6.0083887 -10.14222296
## 405  -0.87142466  16.58860211 -17.4723060  -0.1954444  -6.0083887 -10.14222296
## 406  -0.87142466  16.58860211 -17.4723060  -0.1954444  -6.0083887 -10.14222296
## 407  -0.87142466  16.58860211 -17.4723060  -0.1954444  -6.0083887 -10.14222296
## 408  -0.87142466  16.58860211 -17.4723060  -0.1954444  -6.0083887 -10.14222296
## 409 -13.50092573 -19.67196727  27.0878528   0.2841892  16.2831041  16.24080848
## 410 -13.50092573 -19.67196727  27.0878528   0.2841892  16.2831041  16.24080848
## 411 -13.50092573 -19.67196727  27.0878528   0.2841892  16.2831041  16.24080848
## 412 -13.50092573 -19.67196727  27.0878528   0.2841892  16.2831041  16.24080848
## 413 -13.50092573 -19.67196727  27.0878528   0.2841892  16.2831041  16.24080848
## 414 -13.50092573 -19.67196727  27.0878528   0.2841892  16.2831041  16.24080848
## 415 -13.50092573 -19.67196727  27.0878528   0.2841892  16.2831041  16.24080848
## 416 -13.50092573 -19.67196727  27.0878528   0.2841892  16.2831041  16.24080848
## 417  15.01162113   3.88298854  10.4072974   4.7654740  -4.1887294 -13.50889288
## 418  15.01162113   3.88298854  10.4072974   4.7654740  -4.1887294 -13.50889288
## 419  15.01162113   3.88298854  10.4072974   4.7654740  -4.1887294 -13.50889288
## 420  15.01162113   3.88298854  10.4072974   4.7654740  -4.1887294 -13.50889288
## 421  15.01162113   3.88298854  10.4072974   4.7654740  -4.1887294 -13.50889288
## 422  15.01162113   3.88298854  10.4072974   4.7654740  -4.1887294 -13.50889288
## 423  15.01162113   3.88298854  10.4072974   4.7654740  -4.1887294 -13.50889288
## 424  15.01162113   3.88298854  10.4072974   4.7654740  -4.1887294 -13.50889288
## 425   8.72097863  16.46942901  -2.2918956   1.6091571   2.8647089  -1.99753666
## 426   8.72097863  16.46942901  -2.2918956   1.6091571   2.8647089  -1.99753666
## 427   8.72097863  16.46942901  -2.2918956   1.6091571   2.8647089  -1.99753666
## 428   8.72097863  16.46942901  -2.2918956   1.6091571   2.8647089  -1.99753666
## 429   8.72097863  16.46942901  -2.2918956   1.6091571   2.8647089  -1.99753666
## 430   8.72097863  16.46942901  -2.2918956   1.6091571   2.8647089  -1.99753666
## 431   8.72097863  16.46942901  -2.2918956   1.6091571   2.8647089  -1.99753666
## 432   8.72097863  16.46942901  -2.2918956   1.6091571   2.8647089  -1.99753666
## 433  -4.39086029  15.96673545  16.9770081  -2.1454388 -12.4918267 -22.94482184
## 434  -4.39086029  15.96673545  16.9770081  -2.1454388 -12.4918267 -22.94482184
## 435  -4.39086029  15.96673545  16.9770081  -2.1454388 -12.4918267 -22.94482184
## 436  -4.39086029  15.96673545  16.9770081  -2.1454388 -12.4918267 -22.94482184
## 437  -4.39086029  15.96673545  16.9770081  -2.1454388 -12.4918267 -22.94482184
## 438  -4.39086029  15.96673545  16.9770081  -2.1454388 -12.4918267 -22.94482184
## 439  -4.39086029  15.96673545  16.9770081  -2.1454388 -12.4918267 -22.94482184
## 440  -4.39086029  15.96673545  16.9770081  -2.1454388 -12.4918267 -22.94482184
## 441  -1.89686317   0.50552674   1.1161142  -4.1441921   2.0137710   0.63325033
## 442  -1.89686317   0.50552674   1.1161142  -4.1441921   2.0137710   0.63325033
## 443  -1.89686317   0.50552674   1.1161142  -4.1441921   2.0137710   0.63325033
## 444  -1.89686317   0.50552674   1.1161142  -4.1441921   2.0137710   0.63325033
## 445  -1.89686317   0.50552674   1.1161142  -4.1441921   2.0137710   0.63325033
## 446  -1.89686317   0.50552674   1.1161142  -4.1441921   2.0137710   0.63325033
## 447  -1.89686317   0.50552674   1.1161142  -4.1441921   2.0137710   0.63325033
## 448  -1.89686317   0.50552674   1.1161142  -4.1441921   2.0137710   0.63325033
## 449   6.64839535  -0.07282245  11.0882966 -14.8993984 -12.3669165  -1.62909704
## 450   6.64839535  -0.07282245  11.0882966 -14.8993984 -12.3669165  -1.62909704
## 451   6.64839535  -0.07282245  11.0882966 -14.8993984 -12.3669165  -1.62909704
## 452   6.64839535  -0.07282245  11.0882966 -14.8993984 -12.3669165  -1.62909704
## 453   6.64839535  -0.07282245  11.0882966 -14.8993984 -12.3669165  -1.62909704
## 454   6.64839535  -0.07282245  11.0882966 -14.8993984 -12.3669165  -1.62909704
## 455   6.64839535  -0.07282245  11.0882966 -14.8993984 -12.3669165  -1.62909704
## 456   6.64839535  -0.07282245  11.0882966 -14.8993984 -12.3669165  -1.62909704
## 457  18.58452188   7.95692573 -32.7982229  32.5261954 -19.3975969  52.18212090
## 458  18.58452188   7.95692573 -32.7982229  32.5261954 -19.3975969  52.18212090
## 459  18.58452188   7.95692573 -32.7982229  32.5261954 -19.3975969  52.18212090
## 460  18.58452188   7.95692573 -32.7982229  32.5261954 -19.3975969  52.18212090
## 461  18.58452188   7.95692573 -32.7982229  32.5261954 -19.3975969  52.18212090
## 462  18.58452188   7.95692573 -32.7982229  32.5261954 -19.3975969  52.18212090
## 463  18.58452188   7.95692573 -32.7982229  32.5261954 -19.3975969  52.18212090
## 464  18.58452188   7.95692573 -32.7982229  32.5261954 -19.3975969  52.18212090
## 465 -48.30821236 -25.86823450 -29.5661285  -2.7692167  -8.0977346 -26.48136365
## 466 -48.30821236 -25.86823450 -29.5661285  -2.7692167  -8.0977346 -26.48136365
## 467 -48.30821236 -25.86823450 -29.5661285  -2.7692167  -8.0977346 -26.48136365
## 468 -48.30821236 -25.86823450 -29.5661285  -2.7692167  -8.0977346 -26.48136365
## 469 -48.30821236 -25.86823450 -29.5661285  -2.7692167  -8.0977346 -26.48136365
## 470 -48.30821236 -25.86823450 -29.5661285  -2.7692167  -8.0977346 -26.48136365
## 471 -48.30821236 -25.86823450 -29.5661285  -2.7692167  -8.0977346 -26.48136365
## 472 -48.30821236 -25.86823450 -29.5661285  -2.7692167  -8.0977346 -26.48136365
## 473   3.25792064   2.00009700   1.2200988  -6.9319327   4.9639509   7.69176428
## 474   3.25792064   2.00009700   1.2200988  -6.9319327   4.9639509   7.69176428
## 475   3.25792064   2.00009700   1.2200988  -6.9319327   4.9639509   7.69176428
## 476   3.25792064   2.00009700   1.2200988  -6.9319327   4.9639509   7.69176428
## 477   3.25792064   2.00009700   1.2200988  -6.9319327   4.9639509   7.69176428
## 478   3.25792064   2.00009700   1.2200988  -6.9319327   4.9639509   7.69176428
## 479   3.25792064   2.00009700   1.2200988  -6.9319327   4.9639509   7.69176428
## 480   3.25792064   2.00009700   1.2200988  -6.9319327   4.9639509   7.69176428
## 481   4.25800435  -5.25251085  -2.1867779   1.8430611   0.6316439  -1.63580552
## 482   4.25800435  -5.25251085  -2.1867779   1.8430611   0.6316439  -1.63580552
## 483   4.25800435  -5.25251085  -2.1867779   1.8430611   0.6316439  -1.63580552
## 484   4.25800435  -5.25251085  -2.1867779   1.8430611   0.6316439  -1.63580552
## 485   4.25800435  -5.25251085  -2.1867779   1.8430611   0.6316439  -1.63580552
## 486   4.25800435  -5.25251085  -2.1867779   1.8430611   0.6316439  -1.63580552
## 487   4.25800435  -5.25251085  -2.1867779   1.8430611   0.6316439  -1.63580552
## 488   4.25800435  -5.25251085  -2.1867779   1.8430611   0.6316439  -1.63580552
## 489  -2.26565160   2.90807419  -0.3117576  -6.1392254   2.1539079  -1.61430835
## 490  -2.26565160   2.90807419  -0.3117576  -6.1392254   2.1539079  -1.61430835
## 491  -2.26565160   2.90807419  -0.3117576  -6.1392254   2.1539079  -1.61430835
## 492  -2.26565160   2.90807419  -0.3117576  -6.1392254   2.1539079  -1.61430835
## 493  -2.26565160   2.90807419  -0.3117576  -6.1392254   2.1539079  -1.61430835
## 494  -2.26565160   2.90807419  -0.3117576  -6.1392254   2.1539079  -1.61430835
## 495  -2.26565160   2.90807419  -0.3117576  -6.1392254   2.1539079  -1.61430835
## 496  -2.26565160   2.90807419  -0.3117576  -6.1392254   2.1539079  -1.61430835
## 497  -4.64347078   2.64692900  -1.0388312   1.9298873  -7.0320675   1.25028641
## 498  -4.64347078   2.64692900  -1.0388312   1.9298873  -7.0320675   1.25028641
## 499  -4.64347078   2.64692900  -1.0388312   1.9298873  -7.0320675   1.25028641
## 500  -4.64347078   2.64692900  -1.0388312   1.9298873  -7.0320675   1.25028641
## 501  -4.64347078   2.64692900  -1.0388312   1.9298873  -7.0320675   1.25028641
## 502  -4.64347078   2.64692900  -1.0388312   1.9298873  -7.0320675   1.25028641
## 503  -4.64347078   2.64692900  -1.0388312   1.9298873  -7.0320675   1.25028641
## 504  -4.64347078   2.64692900  -1.0388312   1.9298873  -7.0320675   1.25028641
## 505  -0.21227578  -2.95236788   1.1641446  -5.8507953  -1.8656250  -0.57689181
## 506  -0.21227578  -2.95236788   1.1641446  -5.8507953  -1.8656250  -0.57689181
## 507  -0.21227578  -2.95236788   1.1641446  -5.8507953  -1.8656250  -0.57689181
## 508  -0.21227578  -2.95236788   1.1641446  -5.8507953  -1.8656250  -0.57689181
## 509  -0.21227578  -2.95236788   1.1641446  -5.8507953  -1.8656250  -0.57689181
## 510  -0.21227578  -2.95236788   1.1641446  -5.8507953  -1.8656250  -0.57689181
## 511  -0.21227578  -2.95236788   1.1641446  -5.8507953  -1.8656250  -0.57689181
## 512  -0.21227578  -2.95236788   1.1641446  -5.8507953  -1.8656250  -0.57689181
## 513  -2.66489121  -0.20642354   1.0768143 -10.7210845  -1.3128643   8.50239652
## 514  -2.66489121  -0.20642354   1.0768143 -10.7210845  -1.3128643   8.50239652
## 515  -2.66489121  -0.20642354   1.0768143 -10.7210845  -1.3128643   8.50239652
## 516  -2.66489121  -0.20642354   1.0768143 -10.7210845  -1.3128643   8.50239652
## 517  -2.66489121  -0.20642354   1.0768143 -10.7210845  -1.3128643   8.50239652
## 518  -2.66489121  -0.20642354   1.0768143 -10.7210845  -1.3128643   8.50239652
## 519  -2.66489121  -0.20642354   1.0768143 -10.7210845  -1.3128643   8.50239652
## 520  -2.66489121  -0.20642354   1.0768143 -10.7210845  -1.3128643   8.50239652
## 521   3.49128142  -9.42650261  45.0791828  21.9761781  20.4061442  22.92240357
## 522   3.49128142  -9.42650261  45.0791828  21.9761781  20.4061442  22.92240357
## 523   3.49128142  -9.42650261  45.0791828  21.9761781  20.4061442  22.92240357
## 524   3.49128142  -9.42650261  45.0791828  21.9761781  20.4061442  22.92240357
## 525   3.49128142  -9.42650261  45.0791828  21.9761781  20.4061442  22.92240357
## 526   3.49128142  -9.42650261  45.0791828  21.9761781  20.4061442  22.92240357
## 527   3.49128142  -9.42650261  45.0791828  21.9761781  20.4061442  22.92240357
## 528   3.49128142  -9.42650261  45.0791828  21.9761781  20.4061442  22.92240357
## 529   0.17945315   2.65774208  -2.7605052  12.8234137  -1.4352922  -3.00580219
## 530   0.17945315   2.65774208  -2.7605052  12.8234137  -1.4352922  -3.00580219
## 531   0.17945315   2.65774208  -2.7605052  12.8234137  -1.4352922  -3.00580219
## 532   0.17945315   2.65774208  -2.7605052  12.8234137  -1.4352922  -3.00580219
## 533   0.17945315   2.65774208  -2.7605052  12.8234137  -1.4352922  -3.00580219
## 534   0.17945315   2.65774208  -2.7605052  12.8234137  -1.4352922  -3.00580219
## 535   0.17945315   2.65774208  -2.7605052  12.8234137  -1.4352922  -3.00580219
## 536   0.17945315   2.65774208  -2.7605052  12.8234137  -1.4352922  -3.00580219
## 537 -28.35394768  -7.68211628   9.8082013   2.9245669   3.6941015  -1.02734403
## 538 -28.35394768  -7.68211628   9.8082013   2.9245669   3.6941015  -1.02734403
## 539 -28.35394768  -7.68211628   9.8082013   2.9245669   3.6941015  -1.02734403
## 540 -28.35394768  -7.68211628   9.8082013   2.9245669   3.6941015  -1.02734403
## 541 -28.35394768  -7.68211628   9.8082013   2.9245669   3.6941015  -1.02734403
## 542 -28.35394768  -7.68211628   9.8082013   2.9245669   3.6941015  -1.02734403
## 543 -28.35394768  -7.68211628   9.8082013   2.9245669   3.6941015  -1.02734403
## 544 -28.35394768  -7.68211628   9.8082013   2.9245669   3.6941015  -1.02734403
## 545  -1.78440245  -8.11707398   2.7953336  -8.0097938   4.3328717   0.49126306
## 546  -1.78440245  -8.11707398   2.7953336  -8.0097938   4.3328717   0.49126306
## 547  -1.78440245  -8.11707398   2.7953336  -8.0097938   4.3328717   0.49126306
## 548  -1.78440245  -8.11707398   2.7953336  -8.0097938   4.3328717   0.49126306
## 549  -1.78440245  -8.11707398   2.7953336  -8.0097938   4.3328717   0.49126306
## 550  -1.78440245  -8.11707398   2.7953336  -8.0097938   4.3328717   0.49126306
## 551  -1.78440245  -8.11707398   2.7953336  -8.0097938   4.3328717   0.49126306
## 552  -1.78440245  -8.11707398   2.7953336  -8.0097938   4.3328717   0.49126306
## 553  10.34734651  -8.63997438   6.6785594  -8.5277964  -8.0456076  -0.35254722
## 554  10.34734651  -8.63997438   6.6785594  -8.5277964  -8.0456076  -0.35254722
## 555  10.34734651  -8.63997438   6.6785594  -8.5277964  -8.0456076  -0.35254722
## 556  10.34734651  -8.63997438   6.6785594  -8.5277964  -8.0456076  -0.35254722
## 557  10.34734651  -8.63997438   6.6785594  -8.5277964  -8.0456076  -0.35254722
## 558  10.34734651  -8.63997438   6.6785594  -8.5277964  -8.0456076  -0.35254722
## 559  10.34734651  -8.63997438   6.6785594  -8.5277964  -8.0456076  -0.35254722
## 560  10.34734651  -8.63997438   6.6785594  -8.5277964  -8.0456076  -0.35254722
## 561  -2.28707210  14.23582536   0.6643818 -15.2020330 -12.2852303   1.31439752
## 562  -2.28707210  14.23582536   0.6643818 -15.2020330 -12.2852303   1.31439752
## 563  -2.28707210  14.23582536   0.6643818 -15.2020330 -12.2852303   1.31439752
## 564  -2.28707210  14.23582536   0.6643818 -15.2020330 -12.2852303   1.31439752
## 565  -2.28707210  14.23582536   0.6643818 -15.2020330 -12.2852303   1.31439752
## 566  -2.28707210  14.23582536   0.6643818 -15.2020330 -12.2852303   1.31439752
## 567  -2.28707210  14.23582536   0.6643818 -15.2020330 -12.2852303   1.31439752
## 568  -2.28707210  14.23582536   0.6643818 -15.2020330 -12.2852303   1.31439752
## 569  -1.88680696   7.25404534   0.3370379  -1.7868237  -2.3286141   7.12932559
## 570  -1.88680696   7.25404534   0.3370379  -1.7868237  -2.3286141   7.12932559
## 571  -1.88680696   7.25404534   0.3370379  -1.7868237  -2.3286141   7.12932559
## 572  -1.88680696   7.25404534   0.3370379  -1.7868237  -2.3286141   7.12932559
## 573  -1.88680696   7.25404534   0.3370379  -1.7868237  -2.3286141   7.12932559
## 574  -1.88680696   7.25404534   0.3370379  -1.7868237  -2.3286141   7.12932559
## 575  -1.88680696   7.25404534   0.3370379  -1.7868237  -2.3286141   7.12932559
## 576  -1.88680696   7.25404534   0.3370379  -1.7868237  -2.3286141   7.12932559
## 577  13.93557397  22.37296123  -1.7869572  -9.7216837  -1.2107809   3.17279951
## 578  13.93557397  22.37296123  -1.7869572  -9.7216837  -1.2107809   3.17279951
## 579  13.93557397  22.37296123  -1.7869572  -9.7216837  -1.2107809   3.17279951
## 580  13.93557397  22.37296123  -1.7869572  -9.7216837  -1.2107809   3.17279951
## 581  13.93557397  22.37296123  -1.7869572  -9.7216837  -1.2107809   3.17279951
## 582  13.93557397  22.37296123  -1.7869572  -9.7216837  -1.2107809   3.17279951
## 583  13.93557397  22.37296123  -1.7869572  -9.7216837  -1.2107809   3.17279951
## 584  13.93557397  22.37296123  -1.7869572  -9.7216837  -1.2107809   3.17279951
## 585  -3.89914680  -0.74505021   2.6134110  -0.4853844   0.3656298  -1.13149650
## 586  -3.89914680  -0.74505021   2.6134110  -0.4853844   0.3656298  -1.13149650
## 587  -3.89914680  -0.74505021   2.6134110  -0.4853844   0.3656298  -1.13149650
## 588  -3.89914680  -0.74505021   2.6134110  -0.4853844   0.3656298  -1.13149650
## 589  -3.89914680  -0.74505021   2.6134110  -0.4853844   0.3656298  -1.13149650
## 590  -3.89914680  -0.74505021   2.6134110  -0.4853844   0.3656298  -1.13149650
## 591  -3.89914680  -0.74505021   2.6134110  -0.4853844   0.3656298  -1.13149650
## 592  -3.89914680  -0.74505021   2.6134110  -0.4853844   0.3656298  -1.13149650
## 593   1.40564074   3.66303940   0.6927677   3.3327430   0.9623400   5.41631059
## 594   1.40564074   3.66303940   0.6927677   3.3327430   0.9623400   5.41631059
## 595   1.40564074   3.66303940   0.6927677   3.3327430   0.9623400   5.41631059
## 596   1.40564074   3.66303940   0.6927677   3.3327430   0.9623400   5.41631059
## 597   1.40564074   3.66303940   0.6927677   3.3327430   0.9623400   5.41631059
## 598   1.40564074   3.66303940   0.6927677   3.3327430   0.9623400   5.41631059
## 599   1.40564074   3.66303940   0.6927677   3.3327430   0.9623400   5.41631059
## 600   1.40564074   3.66303940   0.6927677   3.3327430   0.9623400   5.41631059
## 601  15.01829310  -4.57569011  -9.2447483   5.9781843  -1.8112165  -7.83936821
## 602  15.01829310  -4.57569011  -9.2447483   5.9781843  -1.8112165  -7.83936821
## 603  15.01829310  -4.57569011  -9.2447483   5.9781843  -1.8112165  -7.83936821
## 604  15.01829310  -4.57569011  -9.2447483   5.9781843  -1.8112165  -7.83936821
## 605  15.01829310  -4.57569011  -9.2447483   5.9781843  -1.8112165  -7.83936821
## 606  15.01829310  -4.57569011  -9.2447483   5.9781843  -1.8112165  -7.83936821
## 607  15.01829310  -4.57569011  -9.2447483   5.9781843  -1.8112165  -7.83936821
## 608  15.01829310  -4.57569011  -9.2447483   5.9781843  -1.8112165  -7.83936821
## 609  11.20317817   1.50366654   1.8487493 -12.7067374   0.3388646  -1.49092171
## 610  11.20317817   1.50366654   1.8487493 -12.7067374   0.3388646  -1.49092171
## 611  11.20317817   1.50366654   1.8487493 -12.7067374   0.3388646  -1.49092171
## 612  11.20317817   1.50366654   1.8487493 -12.7067374   0.3388646  -1.49092171
## 613  11.20317817   1.50366654   1.8487493 -12.7067374   0.3388646  -1.49092171
## 614  11.20317817   1.50366654   1.8487493 -12.7067374   0.3388646  -1.49092171
## 615  11.20317817   1.50366654   1.8487493 -12.7067374   0.3388646  -1.49092171
## 616  11.20317817   1.50366654   1.8487493 -12.7067374   0.3388646  -1.49092171
## 617   3.81578096  54.04226069  11.7874274  -3.8263963  45.0964630  -4.21704260
## 618   3.81578096  54.04226069  11.7874274  -3.8263963  45.0964630  -4.21704260
## 619   3.81578096  54.04226069  11.7874274  -3.8263963  45.0964630  -4.21704260
## 620   3.81578096  54.04226069  11.7874274  -3.8263963  45.0964630  -4.21704260
## 621   3.81578096  54.04226069  11.7874274  -3.8263963  45.0964630  -4.21704260
## 622   3.81578096  54.04226069  11.7874274  -3.8263963  45.0964630  -4.21704260
## 623   3.81578096  54.04226069  11.7874274  -3.8263963  45.0964630  -4.21704260
## 624   3.81578096  54.04226069  11.7874274  -3.8263963  45.0964630  -4.21704260
## 625  -9.43822553 -67.61214427 -11.5382932   3.5678810  12.9721809  -2.42827243
## 626  -9.43822553 -67.61214427 -11.5382932   3.5678810  12.9721809  -2.42827243
## 627  -9.43822553 -67.61214427 -11.5382932   3.5678810  12.9721809  -2.42827243
## 628  -9.43822553 -67.61214427 -11.5382932   3.5678810  12.9721809  -2.42827243
## 629  -9.43822553 -67.61214427 -11.5382932   3.5678810  12.9721809  -2.42827243
## 630  -9.43822553 -67.61214427 -11.5382932   3.5678810  12.9721809  -2.42827243
## 631  -9.43822553 -67.61214427 -11.5382932   3.5678810  12.9721809  -2.42827243
## 632  -9.43822553 -67.61214427 -11.5382932   3.5678810  12.9721809  -2.42827243
## 633   8.13485906   5.59691645  -1.4405698   4.7455062  17.9740035 -10.45924590
## 634   8.13485906   5.59691645  -1.4405698   4.7455062  17.9740035 -10.45924590
## 635   8.13485906   5.59691645  -1.4405698   4.7455062  17.9740035 -10.45924590
## 636   8.13485906   5.59691645  -1.4405698   4.7455062  17.9740035 -10.45924590
## 637   8.13485906   5.59691645  -1.4405698   4.7455062  17.9740035 -10.45924590
## 638   8.13485906   5.59691645  -1.4405698   4.7455062  17.9740035 -10.45924590
## 639   8.13485906   5.59691645  -1.4405698   4.7455062  17.9740035 -10.45924590
## 640   8.13485906   5.59691645  -1.4405698   4.7455062  17.9740035 -10.45924590
## 641  -5.18041302  -3.02914282  -0.1088855  -1.8311532  -0.7892245  -7.90974468
## 642  -5.18041302  -3.02914282  -0.1088855  -1.8311532  -0.7892245  -7.90974468
## 643  -5.18041302  -3.02914282  -0.1088855  -1.8311532  -0.7892245  -7.90974468
## 644  -5.18041302  -3.02914282  -0.1088855  -1.8311532  -0.7892245  -7.90974468
## 645  -5.18041302  -3.02914282  -0.1088855  -1.8311532  -0.7892245  -7.90974468
## 646  -5.18041302  -3.02914282  -0.1088855  -1.8311532  -0.7892245  -7.90974468
## 647  -5.18041302  -3.02914282  -0.1088855  -1.8311532  -0.7892245  -7.90974468
## 648  -5.18041302  -3.02914282  -0.1088855  -1.8311532  -0.7892245  -7.90974468
## 649  11.78356321 -35.94384489   6.9899795   0.9380972  40.4111200  32.29960606
## 650  11.78356321 -35.94384489   6.9899795   0.9380972  40.4111200  32.29960606
## 651  11.78356321 -35.94384489   6.9899795   0.9380972  40.4111200  32.29960606
## 652  11.78356321 -35.94384489   6.9899795   0.9380972  40.4111200  32.29960606
## 653  11.78356321 -35.94384489   6.9899795   0.9380972  40.4111200  32.29960606
## 654  11.78356321 -35.94384489   6.9899795   0.9380972  40.4111200  32.29960606
## 655  11.78356321 -35.94384489   6.9899795   0.9380972  40.4111200  32.29960606
## 656  11.78356321 -35.94384489   6.9899795   0.9380972  40.4111200  32.29960606
## 657   1.44586553  16.02620378  12.9430011  10.7547663  11.0175406  -6.13642350
## 658   1.44586553  16.02620378  12.9430011  10.7547663  11.0175406  -6.13642350
## 659   1.44586553  16.02620378  12.9430011  10.7547663  11.0175406  -6.13642350
## 660   1.44586553  16.02620378  12.9430011  10.7547663  11.0175406  -6.13642350
## 661   1.44586553  16.02620378  12.9430011  10.7547663  11.0175406  -6.13642350
## 662   1.44586553  16.02620378  12.9430011  10.7547663  11.0175406  -6.13642350
## 663   1.44586553  16.02620378  12.9430011  10.7547663  11.0175406  -6.13642350
## 664   1.44586553  16.02620378  12.9430011  10.7547663  11.0175406  -6.13642350
## 665   1.10750014   0.48556750   5.9898787  -2.6832141  -4.5015986  -2.69171132
## 666   1.10750014   0.48556750   5.9898787  -2.6832141  -4.5015986  -2.69171132
## 667   1.10750014   0.48556750   5.9898787  -2.6832141  -4.5015986  -2.69171132
## 668   1.10750014   0.48556750   5.9898787  -2.6832141  -4.5015986  -2.69171132
## 669   1.10750014   0.48556750   5.9898787  -2.6832141  -4.5015986  -2.69171132
## 670   1.10750014   0.48556750   5.9898787  -2.6832141  -4.5015986  -2.69171132
## 671   1.10750014   0.48556750   5.9898787  -2.6832141  -4.5015986  -2.69171132
## 672   1.10750014   0.48556750   5.9898787  -2.6832141  -4.5015986  -2.69171132
## 673   0.47696493  -4.47816131  -0.4494482   1.1505380   0.9907394   4.28369434
## 674   0.47696493  -4.47816131  -0.4494482   1.1505380   0.9907394   4.28369434
## 675   0.47696493  -4.47816131  -0.4494482   1.1505380   0.9907394   4.28369434
## 676   0.47696493  -4.47816131  -0.4494482   1.1505380   0.9907394   4.28369434
## 677   0.47696493  -4.47816131  -0.4494482   1.1505380   0.9907394   4.28369434
## 678   0.47696493  -4.47816131  -0.4494482   1.1505380   0.9907394   4.28369434
## 679   0.47696493  -4.47816131  -0.4494482   1.1505380   0.9907394   4.28369434
## 680   0.47696493  -4.47816131  -0.4494482   1.1505380   0.9907394   4.28369434
## 681   7.84537768  -1.36942568   2.3021777  -3.2255340   9.0717757   8.81032479
## 682   7.84537768  -1.36942568   2.3021777  -3.2255340   9.0717757   8.81032479
## 683   7.84537768  -1.36942568   2.3021777  -3.2255340   9.0717757   8.81032479
## 684   7.84537768  -1.36942568   2.3021777  -3.2255340   9.0717757   8.81032479
## 685   7.84537768  -1.36942568   2.3021777  -3.2255340   9.0717757   8.81032479
## 686   7.84537768  -1.36942568   2.3021777  -3.2255340   9.0717757   8.81032479
## 687   7.84537768  -1.36942568   2.3021777  -3.2255340   9.0717757   8.81032479
## 688   7.84537768  -1.36942568   2.3021777  -3.2255340   9.0717757   8.81032479
## 689   7.73346307   5.49121090   5.3966685   0.2482272  -5.6241386   5.10555720
## 690   7.73346307   5.49121090   5.3966685   0.2482272  -5.6241386   5.10555720
## 691   7.73346307   5.49121090   5.3966685   0.2482272  -5.6241386   5.10555720
## 692   7.73346307   5.49121090   5.3966685   0.2482272  -5.6241386   5.10555720
## 693   7.73346307   5.49121090   5.3966685   0.2482272  -5.6241386   5.10555720
## 694   7.73346307   5.49121090   5.3966685   0.2482272  -5.6241386   5.10555720
## 695   7.73346307   5.49121090   5.3966685   0.2482272  -5.6241386   5.10555720
## 696   7.73346307   5.49121090   5.3966685   0.2482272  -5.6241386   5.10555720
## 697  -2.57305608  -1.60998476 -16.8330524  -7.4213071   9.3519647  -0.06035564
## 698  -2.57305608  -1.60998476 -16.8330524  -7.4213071   9.3519647  -0.06035564
## 699  -2.57305608  -1.60998476 -16.8330524  -7.4213071   9.3519647  -0.06035564
## 700  -2.57305608  -1.60998476 -16.8330524  -7.4213071   9.3519647  -0.06035564
## 701  -2.57305608  -1.60998476 -16.8330524  -7.4213071   9.3519647  -0.06035564
## 702  -2.57305608  -1.60998476 -16.8330524  -7.4213071   9.3519647  -0.06035564
## 703  -2.57305608  -1.60998476 -16.8330524  -7.4213071   9.3519647  -0.06035564
## 704  -2.57305608  -1.60998476 -16.8330524  -7.4213071   9.3519647  -0.06035564
## 705   1.41693270   0.12545461  -2.8509096  -2.2151198  -1.9078511   2.55719451
## 706   1.41693270   0.12545461  -2.8509096  -2.2151198  -1.9078511   2.55719451
## 707   1.41693270   0.12545461  -2.8509096  -2.2151198  -1.9078511   2.55719451
## 708   1.41693270   0.12545461  -2.8509096  -2.2151198  -1.9078511   2.55719451
## 709   1.41693270   0.12545461  -2.8509096  -2.2151198  -1.9078511   2.55719451
## 710   1.41693270   0.12545461  -2.8509096  -2.2151198  -1.9078511   2.55719451
## 711   1.41693270   0.12545461  -2.8509096  -2.2151198  -1.9078511   2.55719451
## 712   1.41693270   0.12545461  -2.8509096  -2.2151198  -1.9078511   2.55719451
## 713   2.76935348   1.23875434  -0.2033537  -1.8219682  -1.5005081   0.52197900
## 714   2.76935348   1.23875434  -0.2033537  -1.8219682  -1.5005081   0.52197900
## 715   2.76935348   1.23875434  -0.2033537  -1.8219682  -1.5005081   0.52197900
## 716   2.76935348   1.23875434  -0.2033537  -1.8219682  -1.5005081   0.52197900
## 717   2.76935348   1.23875434  -0.2033537  -1.8219682  -1.5005081   0.52197900
## 718   2.76935348   1.23875434  -0.2033537  -1.8219682  -1.5005081   0.52197900
## 719   2.76935348   1.23875434  -0.2033537  -1.8219682  -1.5005081   0.52197900
## 720   2.76935348   1.23875434  -0.2033537  -1.8219682  -1.5005081   0.52197900
## 721  18.92861520 -16.69681757  -2.7927549   7.8979674 -20.7343937   7.29920746
## 722  18.92861520 -16.69681757  -2.7927549   7.8979674 -20.7343937   7.29920746
## 723  18.92861520 -16.69681757  -2.7927549   7.8979674 -20.7343937   7.29920746
## 724  18.92861520 -16.69681757  -2.7927549   7.8979674 -20.7343937   7.29920746
## 725  18.92861520 -16.69681757  -2.7927549   7.8979674 -20.7343937   7.29920746
## 726  18.92861520 -16.69681757  -2.7927549   7.8979674 -20.7343937   7.29920746
## 727  18.92861520 -16.69681757  -2.7927549   7.8979674 -20.7343937   7.29920746
## 728  18.92861520 -16.69681757  -2.7927549   7.8979674 -20.7343937   7.29920746
## 729  -1.67901568   1.09021779   4.9040348  -1.5693948  -0.3573569   1.52192334
## 730  -1.67901568   1.09021779   4.9040348  -1.5693948  -0.3573569   1.52192334
## 731  -1.67901568   1.09021779   4.9040348  -1.5693948  -0.3573569   1.52192334
## 732  -1.67901568   1.09021779   4.9040348  -1.5693948  -0.3573569   1.52192334
## 733  -1.67901568   1.09021779   4.9040348  -1.5693948  -0.3573569   1.52192334
## 734  -1.67901568   1.09021779   4.9040348  -1.5693948  -0.3573569   1.52192334
## 735  -1.67901568   1.09021779   4.9040348  -1.5693948  -0.3573569   1.52192334
## 736  -1.67901568   1.09021779   4.9040348  -1.5693948  -0.3573569   1.52192334
## 737  12.96180992  -2.90893543   6.9205138 -12.8921085  -7.6100117  11.81367498
## 738  12.96180992  -2.90893543   6.9205138 -12.8921085  -7.6100117  11.81367498
## 739  12.96180992  -2.90893543   6.9205138 -12.8921085  -7.6100117  11.81367498
## 740  12.96180992  -2.90893543   6.9205138 -12.8921085  -7.6100117  11.81367498
## 741  12.96180992  -2.90893543   6.9205138 -12.8921085  -7.6100117  11.81367498
## 742  12.96180992  -2.90893543   6.9205138 -12.8921085  -7.6100117  11.81367498
## 743  12.96180992  -2.90893543   6.9205138 -12.8921085  -7.6100117  11.81367498
## 744  12.96180992  -2.90893543   6.9205138 -12.8921085  -7.6100117  11.81367498
## 745   2.80184731   0.86101052   3.7658975  -1.6361484 -11.8572223  -6.38981043
## 746   2.80184731   0.86101052   3.7658975  -1.6361484 -11.8572223  -6.38981043
## 747   2.80184731   0.86101052   3.7658975  -1.6361484 -11.8572223  -6.38981043
## 748   2.80184731   0.86101052   3.7658975  -1.6361484 -11.8572223  -6.38981043
## 749   2.80184731   0.86101052   3.7658975  -1.6361484 -11.8572223  -6.38981043
## 750   2.80184731   0.86101052   3.7658975  -1.6361484 -11.8572223  -6.38981043
## 751   2.80184731   0.86101052   3.7658975  -1.6361484 -11.8572223  -6.38981043
## 752   2.80184731   0.86101052   3.7658975  -1.6361484 -11.8572223  -6.38981043
## 753   4.64981937  -1.77462985  -3.0015753  -8.4118138 -33.9290119   5.47414861
## 754   4.64981937  -1.77462985  -3.0015753  -8.4118138 -33.9290119   5.47414861
## 755   4.64981937  -1.77462985  -3.0015753  -8.4118138 -33.9290119   5.47414861
## 756   4.64981937  -1.77462985  -3.0015753  -8.4118138 -33.9290119   5.47414861
## 757   4.64981937  -1.77462985  -3.0015753  -8.4118138 -33.9290119   5.47414861
## 758   4.64981937  -1.77462985  -3.0015753  -8.4118138 -33.9290119   5.47414861
## 759   4.64981937  -1.77462985  -3.0015753  -8.4118138 -33.9290119   5.47414861
## 760   4.64981937  -1.77462985  -3.0015753  -8.4118138 -33.9290119   5.47414861
## 761   3.21991661  22.13624875 -19.9246422 -30.7319544 -34.9121766   4.92811443
## 762   3.21991661  22.13624875 -19.9246422 -30.7319544 -34.9121766   4.92811443
## 763   3.21991661  22.13624875 -19.9246422 -30.7319544 -34.9121766   4.92811443
## 764   3.21991661  22.13624875 -19.9246422 -30.7319544 -34.9121766   4.92811443
## 765   3.21991661  22.13624875 -19.9246422 -30.7319544 -34.9121766   4.92811443
## 766   3.21991661  22.13624875 -19.9246422 -30.7319544 -34.9121766   4.92811443
## 767   3.21991661  22.13624875 -19.9246422 -30.7319544 -34.9121766   4.92811443
## 768   3.21991661  22.13624875 -19.9246422 -30.7319544 -34.9121766   4.92811443
## 769   6.62543214   4.68858816   7.4823279  -7.0205245  -6.0197735   5.47120090
## 770   6.62543214   4.68858816   7.4823279  -7.0205245  -6.0197735   5.47120090
## 771   6.62543214   4.68858816   7.4823279  -7.0205245  -6.0197735   5.47120090
## 772   6.62543214   4.68858816   7.4823279  -7.0205245  -6.0197735   5.47120090
## 773   6.62543214   4.68858816   7.4823279  -7.0205245  -6.0197735   5.47120090
## 774   6.62543214   4.68858816   7.4823279  -7.0205245  -6.0197735   5.47120090
## 775   6.62543214   4.68858816   7.4823279  -7.0205245  -6.0197735   5.47120090
## 776   6.62543214   4.68858816   7.4823279  -7.0205245  -6.0197735   5.47120090
## 777  -9.25343907  -7.03199341 -11.1612715  -4.7922987  -1.6228498  -4.68644034
## 778  -9.25343907  -7.03199341 -11.1612715  -4.7922987  -1.6228498  -4.68644034
## 779  -9.25343907  -7.03199341 -11.1612715  -4.7922987  -1.6228498  -4.68644034
## 780  -9.25343907  -7.03199341 -11.1612715  -4.7922987  -1.6228498  -4.68644034
## 781  -9.25343907  -7.03199341 -11.1612715  -4.7922987  -1.6228498  -4.68644034
## 782  -9.25343907  -7.03199341 -11.1612715  -4.7922987  -1.6228498  -4.68644034
## 783  -9.25343907  -7.03199341 -11.1612715  -4.7922987  -1.6228498  -4.68644034
## 784  -9.25343907  -7.03199341 -11.1612715  -4.7922987  -1.6228498  -4.68644034
## 785  -0.98502034  -1.41553405   1.2211280   2.4521463   0.4525414   2.80695632
## 786  -0.98502034  -1.41553405   1.2211280   2.4521463   0.4525414   2.80695632
## 787  -0.98502034  -1.41553405   1.2211280   2.4521463   0.4525414   2.80695632
## 788  -0.98502034  -1.41553405   1.2211280   2.4521463   0.4525414   2.80695632
## 789  -0.98502034  -1.41553405   1.2211280   2.4521463   0.4525414   2.80695632
## 790  -0.98502034  -1.41553405   1.2211280   2.4521463   0.4525414   2.80695632
## 791  -0.98502034  -1.41553405   1.2211280   2.4521463   0.4525414   2.80695632
## 792  -0.98502034  -1.41553405   1.2211280   2.4521463   0.4525414   2.80695632
## 793 -12.40195054  -1.46012599  -9.7574694   7.0600082   3.8989571   4.58518241
## 794 -12.40195054  -1.46012599  -9.7574694   7.0600082   3.8989571   4.58518241
## 795 -12.40195054  -1.46012599  -9.7574694   7.0600082   3.8989571   4.58518241
## 796 -12.40195054  -1.46012599  -9.7574694   7.0600082   3.8989571   4.58518241
## 797 -12.40195054  -1.46012599  -9.7574694   7.0600082   3.8989571   4.58518241
## 798 -12.40195054  -1.46012599  -9.7574694   7.0600082   3.8989571   4.58518241
## 799 -12.40195054  -1.46012599  -9.7574694   7.0600082   3.8989571   4.58518241
##       PC64_score   PC65_score    PC66_score   PC67_score    PC68_score
## 1   -16.68235043  20.55423462  12.413646987  38.56026414 -28.015843406
## 2   -16.68235043  20.55423462  12.413646987  38.56026414 -28.015843406
## 3   -16.68235043  20.55423462  12.413646987  38.56026414 -28.015843406
## 4   -16.68235043  20.55423462  12.413646987  38.56026414 -28.015843406
## 5   -16.68235043  20.55423462  12.413646987  38.56026414 -28.015843406
## 6   -16.68235043  20.55423462  12.413646987  38.56026414 -28.015843406
## 7   -16.68235043  20.55423462  12.413646987  38.56026414 -28.015843406
## 8   -16.68235043  20.55423462  12.413646987  38.56026414 -28.015843406
## 9    10.00705078   2.03296079  -5.359086941  -4.68614024 -12.871204967
## 10   10.00705078   2.03296079  -5.359086941  -4.68614024 -12.871204967
## 11   10.00705078   2.03296079  -5.359086941  -4.68614024 -12.871204967
## 12   10.00705078   2.03296079  -5.359086941  -4.68614024 -12.871204967
## 13   10.00705078   2.03296079  -5.359086941  -4.68614024 -12.871204967
## 14   10.00705078   2.03296079  -5.359086941  -4.68614024 -12.871204967
## 15   10.00705078   2.03296079  -5.359086941  -4.68614024 -12.871204967
## 16   10.00705078   2.03296079  -5.359086941  -4.68614024 -12.871204967
## 17   -1.22570995   2.21728505  13.074121303  -5.72819302  -0.005860222
## 18   -1.22570995   2.21728505  13.074121303  -5.72819302  -0.005860222
## 19   -1.22570995   2.21728505  13.074121303  -5.72819302  -0.005860222
## 20   -1.22570995   2.21728505  13.074121303  -5.72819302  -0.005860222
## 21   -1.22570995   2.21728505  13.074121303  -5.72819302  -0.005860222
## 22   -1.22570995   2.21728505  13.074121303  -5.72819302  -0.005860222
## 23   -1.22570995   2.21728505  13.074121303  -5.72819302  -0.005860222
## 24   -1.22570995   2.21728505  13.074121303  -5.72819302  -0.005860222
## 25   15.43692167 -20.52880380 -10.576748066  -0.66513834   4.536571892
## 26   15.43692167 -20.52880380 -10.576748066  -0.66513834   4.536571892
## 27   15.43692167 -20.52880380 -10.576748066  -0.66513834   4.536571892
## 28   15.43692167 -20.52880380 -10.576748066  -0.66513834   4.536571892
## 29   15.43692167 -20.52880380 -10.576748066  -0.66513834   4.536571892
## 30   15.43692167 -20.52880380 -10.576748066  -0.66513834   4.536571892
## 31   15.43692167 -20.52880380 -10.576748066  -0.66513834   4.536571892
## 32   15.43692167 -20.52880380 -10.576748066  -0.66513834   4.536571892
## 33   13.73176508  -0.27373357  -0.584630485 -19.39840601  -6.919711875
## 34   13.73176508  -0.27373357  -0.584630485 -19.39840601  -6.919711875
## 35   13.73176508  -0.27373357  -0.584630485 -19.39840601  -6.919711875
## 36   13.73176508  -0.27373357  -0.584630485 -19.39840601  -6.919711875
## 37   13.73176508  -0.27373357  -0.584630485 -19.39840601  -6.919711875
## 38   13.73176508  -0.27373357  -0.584630485 -19.39840601  -6.919711875
## 39   13.73176508  -0.27373357  -0.584630485 -19.39840601  -6.919711875
## 40   13.73176508  -0.27373357  -0.584630485 -19.39840601  -6.919711875
## 41  -16.93016206  -0.86496680   5.993510132 -16.62855610  -7.093212009
## 42  -16.93016206  -0.86496680   5.993510132 -16.62855610  -7.093212009
## 43  -16.93016206  -0.86496680   5.993510132 -16.62855610  -7.093212009
## 44  -16.93016206  -0.86496680   5.993510132 -16.62855610  -7.093212009
## 45  -16.93016206  -0.86496680   5.993510132 -16.62855610  -7.093212009
## 46  -16.93016206  -0.86496680   5.993510132 -16.62855610  -7.093212009
## 47  -16.93016206  -0.86496680   5.993510132 -16.62855610  -7.093212009
## 48  -16.93016206  -0.86496680   5.993510132 -16.62855610  -7.093212009
## 49   -0.19898030   6.33323817   3.753873000   3.02327333   2.383547470
## 50   -0.19898030   6.33323817   3.753873000   3.02327333   2.383547470
## 51   -0.19898030   6.33323817   3.753873000   3.02327333   2.383547470
## 52   -0.19898030   6.33323817   3.753873000   3.02327333   2.383547470
## 53   -0.19898030   6.33323817   3.753873000   3.02327333   2.383547470
## 54   -0.19898030   6.33323817   3.753873000   3.02327333   2.383547470
## 55   -0.19898030   6.33323817   3.753873000   3.02327333   2.383547470
## 56   -0.19898030   6.33323817   3.753873000   3.02327333   2.383547470
## 57    1.12438224 -11.96104356  -7.480468096 -16.14857025  -5.842993619
## 58    1.12438224 -11.96104356  -7.480468096 -16.14857025  -5.842993619
## 59    1.12438224 -11.96104356  -7.480468096 -16.14857025  -5.842993619
## 60    1.12438224 -11.96104356  -7.480468096 -16.14857025  -5.842993619
## 61    1.12438224 -11.96104356  -7.480468096 -16.14857025  -5.842993619
## 62    1.12438224 -11.96104356  -7.480468096 -16.14857025  -5.842993619
## 63    1.12438224 -11.96104356  -7.480468096 -16.14857025  -5.842993619
## 64    1.12438224 -11.96104356  -7.480468096 -16.14857025  -5.842993619
## 65  -10.37630039   9.06367401   0.253154674   7.49824561  11.822549503
## 66  -10.37630039   9.06367401   0.253154674   7.49824561  11.822549503
## 67  -10.37630039   9.06367401   0.253154674   7.49824561  11.822549503
## 68  -10.37630039   9.06367401   0.253154674   7.49824561  11.822549503
## 69  -10.37630039   9.06367401   0.253154674   7.49824561  11.822549503
## 70  -10.37630039   9.06367401   0.253154674   7.49824561  11.822549503
## 71  -10.37630039   9.06367401   0.253154674   7.49824561  11.822549503
## 72  -10.37630039   9.06367401   0.253154674   7.49824561  11.822549503
## 73   18.94555109 -25.32803702  -2.421270788   2.74748591  18.028006383
## 74   18.94555109 -25.32803702  -2.421270788   2.74748591  18.028006383
## 75   18.94555109 -25.32803702  -2.421270788   2.74748591  18.028006383
## 76   18.94555109 -25.32803702  -2.421270788   2.74748591  18.028006383
## 77   18.94555109 -25.32803702  -2.421270788   2.74748591  18.028006383
## 78   18.94555109 -25.32803702  -2.421270788   2.74748591  18.028006383
## 79   18.94555109 -25.32803702  -2.421270788   2.74748591  18.028006383
## 80   18.94555109 -25.32803702  -2.421270788   2.74748591  18.028006383
## 81    9.87040261  -3.14271200 -24.327581687   5.69759074   9.958765188
## 82    9.87040261  -3.14271200 -24.327581687   5.69759074   9.958765188
## 83    9.87040261  -3.14271200 -24.327581687   5.69759074   9.958765188
## 84    9.87040261  -3.14271200 -24.327581687   5.69759074   9.958765188
## 85    9.87040261  -3.14271200 -24.327581687   5.69759074   9.958765188
## 86    9.87040261  -3.14271200 -24.327581687   5.69759074   9.958765188
## 87    9.87040261  -3.14271200 -24.327581687   5.69759074   9.958765188
## 88    9.87040261  -3.14271200 -24.327581687   5.69759074   9.958765188
## 89   -6.13699077  -0.92773104  -1.949104290   3.60453736   1.075678370
## 90   -6.13699077  -0.92773104  -1.949104290   3.60453736   1.075678370
## 91   -6.13699077  -0.92773104  -1.949104290   3.60453736   1.075678370
## 92   -6.13699077  -0.92773104  -1.949104290   3.60453736   1.075678370
## 93   -6.13699077  -0.92773104  -1.949104290   3.60453736   1.075678370
## 94   -6.13699077  -0.92773104  -1.949104290   3.60453736   1.075678370
## 95   -6.13699077  -0.92773104  -1.949104290   3.60453736   1.075678370
## 96   -6.13699077  -0.92773104  -1.949104290   3.60453736   1.075678370
## 97    2.18690508  -7.12831511  19.019516000   1.28282891  -3.262597001
## 98    2.18690508  -7.12831511  19.019516000   1.28282891  -3.262597001
## 99    2.18690508  -7.12831511  19.019516000   1.28282891  -3.262597001
## 100   2.18690508  -7.12831511  19.019516000   1.28282891  -3.262597001
## 101   2.18690508  -7.12831511  19.019516000   1.28282891  -3.262597001
## 102   2.18690508  -7.12831511  19.019516000   1.28282891  -3.262597001
## 103   2.18690508  -7.12831511  19.019516000   1.28282891  -3.262597001
## 104   2.18690508  -7.12831511  19.019516000   1.28282891  -3.262597001
## 105   6.46427783  -1.26600826   0.142652941   4.09884638   5.697753986
## 106   6.46427783  -1.26600826   0.142652941   4.09884638   5.697753986
## 107   6.46427783  -1.26600826   0.142652941   4.09884638   5.697753986
## 108   6.46427783  -1.26600826   0.142652941   4.09884638   5.697753986
## 109   6.46427783  -1.26600826   0.142652941   4.09884638   5.697753986
## 110   6.46427783  -1.26600826   0.142652941   4.09884638   5.697753986
## 111   6.46427783  -1.26600826   0.142652941   4.09884638   5.697753986
## 112   6.46427783  -1.26600826   0.142652941   4.09884638   5.697753986
## 113  -5.31428278  -0.93891933  -1.160543587   0.25912866  -0.319155331
## 114  -5.31428278  -0.93891933  -1.160543587   0.25912866  -0.319155331
## 115  -5.31428278  -0.93891933  -1.160543587   0.25912866  -0.319155331
## 116  -5.31428278  -0.93891933  -1.160543587   0.25912866  -0.319155331
## 117  -5.31428278  -0.93891933  -1.160543587   0.25912866  -0.319155331
## 118  -5.31428278  -0.93891933  -1.160543587   0.25912866  -0.319155331
## 119  -5.31428278  -0.93891933  -1.160543587   0.25912866  -0.319155331
## 120  -5.31428278  -0.93891933  -1.160543587   0.25912866  -0.319155331
## 121   4.58364851 -24.31751479   5.603068151   1.27578240 -19.178531885
## 122   4.58364851 -24.31751479   5.603068151   1.27578240 -19.178531885
## 123   4.58364851 -24.31751479   5.603068151   1.27578240 -19.178531885
## 124   4.58364851 -24.31751479   5.603068151   1.27578240 -19.178531885
## 125   4.58364851 -24.31751479   5.603068151   1.27578240 -19.178531885
## 126   4.58364851 -24.31751479   5.603068151   1.27578240 -19.178531885
## 127   4.58364851 -24.31751479   5.603068151   1.27578240 -19.178531885
## 128   4.58364851 -24.31751479   5.603068151   1.27578240 -19.178531885
## 129 -27.64288392   1.38190482  -1.923228498  40.89177530  40.406806292
## 130 -27.64288392   1.38190482  -1.923228498  40.89177530  40.406806292
## 131 -27.64288392   1.38190482  -1.923228498  40.89177530  40.406806292
## 132 -27.64288392   1.38190482  -1.923228498  40.89177530  40.406806292
## 133 -27.64288392   1.38190482  -1.923228498  40.89177530  40.406806292
## 134 -27.64288392   1.38190482  -1.923228498  40.89177530  40.406806292
## 135 -27.64288392   1.38190482  -1.923228498  40.89177530  40.406806292
## 136 -27.64288392   1.38190482  -1.923228498  40.89177530  40.406806292
## 137   5.85226251   3.86203601   1.597235730   1.53938512  -1.826226810
## 138   5.85226251   3.86203601   1.597235730   1.53938512  -1.826226810
## 139   5.85226251   3.86203601   1.597235730   1.53938512  -1.826226810
## 140   5.85226251   3.86203601   1.597235730   1.53938512  -1.826226810
## 141   5.85226251   3.86203601   1.597235730   1.53938512  -1.826226810
## 142   5.85226251   3.86203601   1.597235730   1.53938512  -1.826226810
## 143   5.85226251   3.86203601   1.597235730   1.53938512  -1.826226810
## 144   5.85226251   3.86203601   1.597235730   1.53938512  -1.826226810
## 145 -49.40071850 -33.44621448 -45.749710004  -3.89602154 -20.158732898
## 146 -49.40071850 -33.44621448 -45.749710004  -3.89602154 -20.158732898
## 147 -49.40071850 -33.44621448 -45.749710004  -3.89602154 -20.158732898
## 148 -49.40071850 -33.44621448 -45.749710004  -3.89602154 -20.158732898
## 149 -49.40071850 -33.44621448 -45.749710004  -3.89602154 -20.158732898
## 150 -49.40071850 -33.44621448 -45.749710004  -3.89602154 -20.158732898
## 151 -49.40071850 -33.44621448 -45.749710004  -3.89602154 -20.158732898
## 152 -49.40071850 -33.44621448 -45.749710004  -3.89602154 -20.158732898
## 153   3.77664424  -4.70868051   0.185396519   3.14791312   1.626681259
## 154   3.77664424  -4.70868051   0.185396519   3.14791312   1.626681259
## 155   3.77664424  -4.70868051   0.185396519   3.14791312   1.626681259
## 156   3.77664424  -4.70868051   0.185396519   3.14791312   1.626681259
## 157   3.77664424  -4.70868051   0.185396519   3.14791312   1.626681259
## 158   3.77664424  -4.70868051   0.185396519   3.14791312   1.626681259
## 159   3.77664424  -4.70868051   0.185396519   3.14791312   1.626681259
## 160   3.77664424  -4.70868051   0.185396519   3.14791312   1.626681259
## 161  -9.21733317 -37.56722454  42.861466817   8.69776419 -29.711988407
## 162  -9.21733317 -37.56722454  42.861466817   8.69776419 -29.711988407
## 163  -9.21733317 -37.56722454  42.861466817   8.69776419 -29.711988407
## 164  -9.21733317 -37.56722454  42.861466817   8.69776419 -29.711988407
## 165  -9.21733317 -37.56722454  42.861466817   8.69776419 -29.711988407
## 166  -9.21733317 -37.56722454  42.861466817   8.69776419 -29.711988407
## 167  -9.21733317 -37.56722454  42.861466817   8.69776419 -29.711988407
## 168  -9.21733317 -37.56722454  42.861466817   8.69776419 -29.711988407
## 169  -2.92277346   1.98554833   3.449895023   2.71451394  -0.425068983
## 170  -2.92277346   1.98554833   3.449895023   2.71451394  -0.425068983
## 171  -2.92277346   1.98554833   3.449895023   2.71451394  -0.425068983
## 172  -2.92277346   1.98554833   3.449895023   2.71451394  -0.425068983
## 173  -2.92277346   1.98554833   3.449895023   2.71451394  -0.425068983
## 174  -2.92277346   1.98554833   3.449895023   2.71451394  -0.425068983
## 175  -2.92277346   1.98554833   3.449895023   2.71451394  -0.425068983
## 176  -2.92277346   1.98554833   3.449895023   2.71451394  -0.425068983
## 177  -0.07989053  13.44956565  -5.235312494  -5.06902705  -1.090029700
## 178  -0.07989053  13.44956565  -5.235312494  -5.06902705  -1.090029700
## 179  -0.07989053  13.44956565  -5.235312494  -5.06902705  -1.090029700
## 180  -0.07989053  13.44956565  -5.235312494  -5.06902705  -1.090029700
## 181  -0.07989053  13.44956565  -5.235312494  -5.06902705  -1.090029700
## 182  -0.07989053  13.44956565  -5.235312494  -5.06902705  -1.090029700
## 183  -0.07989053  13.44956565  -5.235312494  -5.06902705  -1.090029700
## 184  -0.07989053  13.44956565  -5.235312494  -5.06902705  -1.090029700
## 185  -2.76381881  -0.94332462  -2.119202927  -0.19523613   3.350797885
## 186  -2.76381881  -0.94332462  -2.119202927  -0.19523613   3.350797885
## 187  -2.76381881  -0.94332462  -2.119202927  -0.19523613   3.350797885
## 188  -2.76381881  -0.94332462  -2.119202927  -0.19523613   3.350797885
## 189  -2.76381881  -0.94332462  -2.119202927  -0.19523613   3.350797885
## 190  -2.76381881  -0.94332462  -2.119202927  -0.19523613   3.350797885
## 191  -2.76381881  -0.94332462  -2.119202927  -0.19523613   3.350797885
## 192  -2.76381881  -0.94332462  -2.119202927  -0.19523613   3.350797885
## 193  37.92037816  -2.30163800   4.618296668   0.90900562   7.062539125
## 194  37.92037816  -2.30163800   4.618296668   0.90900562   7.062539125
## 195  37.92037816  -2.30163800   4.618296668   0.90900562   7.062539125
## 196  37.92037816  -2.30163800   4.618296668   0.90900562   7.062539125
## 197  37.92037816  -2.30163800   4.618296668   0.90900562   7.062539125
## 198  37.92037816  -2.30163800   4.618296668   0.90900562   7.062539125
## 199  37.92037816  -2.30163800   4.618296668   0.90900562   7.062539125
## 200  37.92037816  -2.30163800   4.618296668   0.90900562   7.062539125
## 201   1.78959451   0.58232686   1.587183271   0.63436402  -0.354122766
## 202   1.78959451   0.58232686   1.587183271   0.63436402  -0.354122766
## 203   1.78959451   0.58232686   1.587183271   0.63436402  -0.354122766
## 204   1.78959451   0.58232686   1.587183271   0.63436402  -0.354122766
## 205   1.78959451   0.58232686   1.587183271   0.63436402  -0.354122766
## 206   1.78959451   0.58232686   1.587183271   0.63436402  -0.354122766
## 207   1.78959451   0.58232686   1.587183271   0.63436402  -0.354122766
## 208   1.78959451   0.58232686   1.587183271   0.63436402  -0.354122766
## 209  -1.24222128   1.56450752   3.357769782  -1.75133150  -0.420993211
## 210  -1.24222128   1.56450752   3.357769782  -1.75133150  -0.420993211
## 211  -1.24222128   1.56450752   3.357769782  -1.75133150  -0.420993211
## 212  -1.24222128   1.56450752   3.357769782  -1.75133150  -0.420993211
## 213  -1.24222128   1.56450752   3.357769782  -1.75133150  -0.420993211
## 214  -1.24222128   1.56450752   3.357769782  -1.75133150  -0.420993211
## 215  -1.24222128   1.56450752   3.357769782  -1.75133150  -0.420993211
## 216  -1.24222128   1.56450752   3.357769782  -1.75133150  -0.420993211
## 217   0.52901519  -0.53083458  -1.515519583   0.49857921   0.366505950
## 218   0.52901519  -0.53083458  -1.515519583   0.49857921   0.366505950
## 219   0.52901519  -0.53083458  -1.515519583   0.49857921   0.366505950
## 220   0.52901519  -0.53083458  -1.515519583   0.49857921   0.366505950
## 221   0.52901519  -0.53083458  -1.515519583   0.49857921   0.366505950
## 222   0.52901519  -0.53083458  -1.515519583   0.49857921   0.366505950
## 223   0.52901519  -0.53083458  -1.515519583   0.49857921   0.366505950
## 224   0.52901519  -0.53083458  -1.515519583   0.49857921   0.366505950
## 225   2.78248653   3.82213129   1.036702783   5.17230254   4.734477057
## 226   2.78248653   3.82213129   1.036702783   5.17230254   4.734477057
## 227   2.78248653   3.82213129   1.036702783   5.17230254   4.734477057
## 228   2.78248653   3.82213129   1.036702783   5.17230254   4.734477057
## 229   2.78248653   3.82213129   1.036702783   5.17230254   4.734477057
## 230   2.78248653   3.82213129   1.036702783   5.17230254   4.734477057
## 231   2.78248653   3.82213129   1.036702783   5.17230254   4.734477057
## 232   2.78248653   3.82213129   1.036702783   5.17230254   4.734477057
## 233  -5.25261897   3.27786186   2.587496046  -3.33742769   2.281338532
## 234  -5.25261897   3.27786186   2.587496046  -3.33742769   2.281338532
## 235  -5.25261897   3.27786186   2.587496046  -3.33742769   2.281338532
## 236  -5.25261897   3.27786186   2.587496046  -3.33742769   2.281338532
## 237  -5.25261897   3.27786186   2.587496046  -3.33742769   2.281338532
## 238  -5.25261897   3.27786186   2.587496046  -3.33742769   2.281338532
## 239  -5.25261897   3.27786186   2.587496046  -3.33742769   2.281338532
## 240  -5.25261897   3.27786186   2.587496046  -3.33742769   2.281338532
## 241  30.07240014  26.06890101 -51.840328634 -45.81960835 -18.165925734
## 242  30.07240014  26.06890101 -51.840328634 -45.81960835 -18.165925734
## 243  30.07240014  26.06890101 -51.840328634 -45.81960835 -18.165925734
## 244  30.07240014  26.06890101 -51.840328634 -45.81960835 -18.165925734
## 245  30.07240014  26.06890101 -51.840328634 -45.81960835 -18.165925734
## 246  30.07240014  26.06890101 -51.840328634 -45.81960835 -18.165925734
## 247  30.07240014  26.06890101 -51.840328634 -45.81960835 -18.165925734
## 248  30.07240014  26.06890101 -51.840328634 -45.81960835 -18.165925734
## 249   8.24540765  22.47448633   5.078388464  -3.22419769  33.293218155
## 250   8.24540765  22.47448633   5.078388464  -3.22419769  33.293218155
## 251   8.24540765  22.47448633   5.078388464  -3.22419769  33.293218155
## 252   8.24540765  22.47448633   5.078388464  -3.22419769  33.293218155
## 253   8.24540765  22.47448633   5.078388464  -3.22419769  33.293218155
## 254   8.24540765  22.47448633   5.078388464  -3.22419769  33.293218155
## 255   8.24540765  22.47448633   5.078388464  -3.22419769  33.293218155
## 256   8.24540765  22.47448633   5.078388464  -3.22419769  33.293218155
## 257  -8.84403285   4.88185624  -6.481639298  -1.53184827 -15.907400023
## 258  -8.84403285   4.88185624  -6.481639298  -1.53184827 -15.907400023
## 259  -8.84403285   4.88185624  -6.481639298  -1.53184827 -15.907400023
## 260  -8.84403285   4.88185624  -6.481639298  -1.53184827 -15.907400023
## 261  -8.84403285   4.88185624  -6.481639298  -1.53184827 -15.907400023
## 262  -8.84403285   4.88185624  -6.481639298  -1.53184827 -15.907400023
## 263  -8.84403285   4.88185624  -6.481639298  -1.53184827 -15.907400023
## 264  -8.84403285   4.88185624  -6.481639298  -1.53184827 -15.907400023
## 265  10.59753042 -23.87450653  -4.950203821  23.05116262 -14.823368046
## 266  10.59753042 -23.87450653  -4.950203821  23.05116262 -14.823368046
## 267  10.59753042 -23.87450653  -4.950203821  23.05116262 -14.823368046
## 268  10.59753042 -23.87450653  -4.950203821  23.05116262 -14.823368046
## 269  10.59753042 -23.87450653  -4.950203821  23.05116262 -14.823368046
## 270  10.59753042 -23.87450653  -4.950203821  23.05116262 -14.823368046
## 271  10.59753042 -23.87450653  -4.950203821  23.05116262 -14.823368046
## 272  10.59753042 -23.87450653  -4.950203821  23.05116262 -14.823368046
## 273  18.17247080  -6.98017885   8.453049491   9.87101074  17.548435844
## 274  18.17247080  -6.98017885   8.453049491   9.87101074  17.548435844
## 275  18.17247080  -6.98017885   8.453049491   9.87101074  17.548435844
## 276  18.17247080  -6.98017885   8.453049491   9.87101074  17.548435844
## 277  18.17247080  -6.98017885   8.453049491   9.87101074  17.548435844
## 278  18.17247080  -6.98017885   8.453049491   9.87101074  17.548435844
## 279  18.17247080  -6.98017885   8.453049491   9.87101074  17.548435844
## 280  18.17247080  -6.98017885   8.453049491   9.87101074  17.548435844
## 281  -0.32817706  -6.39639270  -4.550766956  -0.40505256   0.855319533
## 282  -0.32817706  -6.39639270  -4.550766956  -0.40505256   0.855319533
## 283  -0.32817706  -6.39639270  -4.550766956  -0.40505256   0.855319533
## 284  -0.32817706  -6.39639270  -4.550766956  -0.40505256   0.855319533
## 285  -0.32817706  -6.39639270  -4.550766956  -0.40505256   0.855319533
## 286  -0.32817706  -6.39639270  -4.550766956  -0.40505256   0.855319533
## 287  -0.32817706  -6.39639270  -4.550766956  -0.40505256   0.855319533
## 288  -0.32817706  -6.39639270  -4.550766956  -0.40505256   0.855319533
## 289   6.75603608  35.67013328  -7.831063075 -10.09517857  -1.094559480
## 290   6.75603608  35.67013328  -7.831063075 -10.09517857  -1.094559480
## 291   6.75603608  35.67013328  -7.831063075 -10.09517857  -1.094559480
## 292   6.75603608  35.67013328  -7.831063075 -10.09517857  -1.094559480
## 293   6.75603608  35.67013328  -7.831063075 -10.09517857  -1.094559480
## 294   6.75603608  35.67013328  -7.831063075 -10.09517857  -1.094559480
## 295   6.75603608  35.67013328  -7.831063075 -10.09517857  -1.094559480
## 296   6.75603608  35.67013328  -7.831063075 -10.09517857  -1.094559480
## 297  -3.57498470   6.94771877  -8.795799109  -1.01813477  -6.535757153
## 298  -3.57498470   6.94771877  -8.795799109  -1.01813477  -6.535757153
## 299  -3.57498470   6.94771877  -8.795799109  -1.01813477  -6.535757153
## 300  -3.57498470   6.94771877  -8.795799109  -1.01813477  -6.535757153
## 301  -3.57498470   6.94771877  -8.795799109  -1.01813477  -6.535757153
## 302  -3.57498470   6.94771877  -8.795799109  -1.01813477  -6.535757153
## 303  -3.57498470   6.94771877  -8.795799109  -1.01813477  -6.535757153
## 304  -3.57498470   6.94771877  -8.795799109  -1.01813477  -6.535757153
## 305   2.12517755   5.10475919   5.339139094  -5.40267102   0.913227747
## 306   2.12517755   5.10475919   5.339139094  -5.40267102   0.913227747
## 307   2.12517755   5.10475919   5.339139094  -5.40267102   0.913227747
## 308   2.12517755   5.10475919   5.339139094  -5.40267102   0.913227747
## 309   2.12517755   5.10475919   5.339139094  -5.40267102   0.913227747
## 310   2.12517755   5.10475919   5.339139094  -5.40267102   0.913227747
## 311   2.12517755   5.10475919   5.339139094  -5.40267102   0.913227747
## 312   2.12517755   5.10475919   5.339139094  -5.40267102   0.913227747
## 313  -2.48559883   0.73515890  13.085357465   9.20265013   3.829411039
## 314  -2.48559883   0.73515890  13.085357465   9.20265013   3.829411039
## 315  -2.48559883   0.73515890  13.085357465   9.20265013   3.829411039
## 316  -2.48559883   0.73515890  13.085357465   9.20265013   3.829411039
## 317  -2.48559883   0.73515890  13.085357465   9.20265013   3.829411039
## 318  -2.48559883   0.73515890  13.085357465   9.20265013   3.829411039
## 319  -2.48559883   0.73515890  13.085357465   9.20265013   3.829411039
## 320  -2.48559883   0.73515890  13.085357465   9.20265013   3.829411039
## 321   5.04222648  -0.13448586   3.762715122  -7.65647396   5.733883708
## 322   5.04222648  -0.13448586   3.762715122  -7.65647396   5.733883708
## 323   5.04222648  -0.13448586   3.762715122  -7.65647396   5.733883708
## 324   5.04222648  -0.13448586   3.762715122  -7.65647396   5.733883708
## 325   5.04222648  -0.13448586   3.762715122  -7.65647396   5.733883708
## 326   5.04222648  -0.13448586   3.762715122  -7.65647396   5.733883708
## 327   5.04222648  -0.13448586   3.762715122  -7.65647396   5.733883708
## 328   5.04222648  -0.13448586   3.762715122  -7.65647396   5.733883708
## 329 -13.01209295  23.53147869 -14.245844418  23.54567105 -30.901597075
## 330 -13.01209295  23.53147869 -14.245844418  23.54567105 -30.901597075
## 331 -13.01209295  23.53147869 -14.245844418  23.54567105 -30.901597075
## 332 -13.01209295  23.53147869 -14.245844418  23.54567105 -30.901597075
## 333 -13.01209295  23.53147869 -14.245844418  23.54567105 -30.901597075
## 334 -13.01209295  23.53147869 -14.245844418  23.54567105 -30.901597075
## 335 -13.01209295  23.53147869 -14.245844418  23.54567105 -30.901597075
## 336 -13.01209295  23.53147869 -14.245844418  23.54567105 -30.901597075
## 337   9.35559538   5.81198595   1.575371435   0.24315599   1.137650392
## 338   9.35559538   5.81198595   1.575371435   0.24315599   1.137650392
## 339   9.35559538   5.81198595   1.575371435   0.24315599   1.137650392
## 340   9.35559538   5.81198595   1.575371435   0.24315599   1.137650392
## 341   9.35559538   5.81198595   1.575371435   0.24315599   1.137650392
## 342   9.35559538   5.81198595   1.575371435   0.24315599   1.137650392
## 343   9.35559538   5.81198595   1.575371435   0.24315599   1.137650392
## 344   9.35559538   5.81198595   1.575371435   0.24315599   1.137650392
## 345   2.97300203   3.77230157   1.789779983  -0.53654028  -6.956949997
## 346   2.97300203   3.77230157   1.789779983  -0.53654028  -6.956949997
## 347   2.97300203   3.77230157   1.789779983  -0.53654028  -6.956949997
## 348   2.97300203   3.77230157   1.789779983  -0.53654028  -6.956949997
## 349   2.97300203   3.77230157   1.789779983  -0.53654028  -6.956949997
## 350   2.97300203   3.77230157   1.789779983  -0.53654028  -6.956949997
## 351   2.97300203   3.77230157   1.789779983  -0.53654028  -6.956949997
## 352   2.97300203   3.77230157   1.789779983  -0.53654028  -6.956949997
## 353 -44.86421121  23.84034902  -2.873891971 -23.63284064   4.970254822
## 354 -44.86421121  23.84034902  -2.873891971 -23.63284064   4.970254822
## 355 -44.86421121  23.84034902  -2.873891971 -23.63284064   4.970254822
## 356 -44.86421121  23.84034902  -2.873891971 -23.63284064   4.970254822
## 357 -44.86421121  23.84034902  -2.873891971 -23.63284064   4.970254822
## 358 -44.86421121  23.84034902  -2.873891971 -23.63284064   4.970254822
## 359 -44.86421121  23.84034902  -2.873891971 -23.63284064   4.970254822
## 360 -44.86421121  23.84034902  -2.873891971 -23.63284064   4.970254822
## 361   1.65890108   4.82009041   1.983797445   1.46330610  -2.868593241
## 362   1.65890108   4.82009041   1.983797445   1.46330610  -2.868593241
## 363   1.65890108   4.82009041   1.983797445   1.46330610  -2.868593241
## 364   1.65890108   4.82009041   1.983797445   1.46330610  -2.868593241
## 365   1.65890108   4.82009041   1.983797445   1.46330610  -2.868593241
## 366   1.65890108   4.82009041   1.983797445   1.46330610  -2.868593241
## 367   1.65890108   4.82009041   1.983797445   1.46330610  -2.868593241
## 368   1.65890108   4.82009041   1.983797445   1.46330610  -2.868593241
## 369 -21.42559083   6.89508631  17.273456541 -36.82049911  -3.189547253
## 370 -21.42559083   6.89508631  17.273456541 -36.82049911  -3.189547253
## 371 -21.42559083   6.89508631  17.273456541 -36.82049911  -3.189547253
## 372 -21.42559083   6.89508631  17.273456541 -36.82049911  -3.189547253
## 373 -21.42559083   6.89508631  17.273456541 -36.82049911  -3.189547253
## 374 -21.42559083   6.89508631  17.273456541 -36.82049911  -3.189547253
## 375 -21.42559083   6.89508631  17.273456541 -36.82049911  -3.189547253
## 376 -21.42559083   6.89508631  17.273456541 -36.82049911  -3.189547253
## 377 -23.28747877  -3.29292942  26.947729359 -25.25617461 -15.181803989
## 378 -23.28747877  -3.29292942  26.947729359 -25.25617461 -15.181803989
## 379 -23.28747877  -3.29292942  26.947729359 -25.25617461 -15.181803989
## 380 -23.28747877  -3.29292942  26.947729359 -25.25617461 -15.181803989
## 381 -23.28747877  -3.29292942  26.947729359 -25.25617461 -15.181803989
## 382 -23.28747877  -3.29292942  26.947729359 -25.25617461 -15.181803989
## 383 -23.28747877  -3.29292942  26.947729359 -25.25617461 -15.181803989
## 384 -23.28747877  -3.29292942  26.947729359 -25.25617461 -15.181803989
## 385  -7.53086231  10.24853239   2.934353027   0.54078291 -12.059966396
## 386  -7.53086231  10.24853239   2.934353027   0.54078291 -12.059966396
## 387  -7.53086231  10.24853239   2.934353027   0.54078291 -12.059966396
## 388  -7.53086231  10.24853239   2.934353027   0.54078291 -12.059966396
## 389  -7.53086231  10.24853239   2.934353027   0.54078291 -12.059966396
## 390  -7.53086231  10.24853239   2.934353027   0.54078291 -12.059966396
## 391  -7.53086231  10.24853239   2.934353027   0.54078291 -12.059966396
## 392  -7.53086231  10.24853239   2.934353027   0.54078291 -12.059966396
## 393  -0.21696991   4.71684127  -0.608182991   0.66729811   1.834236384
## 394  -0.21696991   4.71684127  -0.608182991   0.66729811   1.834236384
## 395  -0.21696991   4.71684127  -0.608182991   0.66729811   1.834236384
## 396  -0.21696991   4.71684127  -0.608182991   0.66729811   1.834236384
## 397  -0.21696991   4.71684127  -0.608182991   0.66729811   1.834236384
## 398  -0.21696991   4.71684127  -0.608182991   0.66729811   1.834236384
## 399  -0.21696991   4.71684127  -0.608182991   0.66729811   1.834236384
## 400  -0.21696991   4.71684127  -0.608182991   0.66729811   1.834236384
## 401  -2.22775600  -4.61252688   6.951538884   2.32039091   8.764646097
## 402  -2.22775600  -4.61252688   6.951538884   2.32039091   8.764646097
## 403  -2.22775600  -4.61252688   6.951538884   2.32039091   8.764646097
## 404  -2.22775600  -4.61252688   6.951538884   2.32039091   8.764646097
## 405  -2.22775600  -4.61252688   6.951538884   2.32039091   8.764646097
## 406  -2.22775600  -4.61252688   6.951538884   2.32039091   8.764646097
## 407  -2.22775600  -4.61252688   6.951538884   2.32039091   8.764646097
## 408  -2.22775600  -4.61252688   6.951538884   2.32039091   8.764646097
## 409   3.04868690   8.95839996  35.619404536  15.04638455   9.401293483
## 410   3.04868690   8.95839996  35.619404536  15.04638455   9.401293483
## 411   3.04868690   8.95839996  35.619404536  15.04638455   9.401293483
## 412   3.04868690   8.95839996  35.619404536  15.04638455   9.401293483
## 413   3.04868690   8.95839996  35.619404536  15.04638455   9.401293483
## 414   3.04868690   8.95839996  35.619404536  15.04638455   9.401293483
## 415   3.04868690   8.95839996  35.619404536  15.04638455   9.401293483
## 416   3.04868690   8.95839996  35.619404536  15.04638455   9.401293483
## 417 -10.13000647  -0.98498236   6.474605027   8.93542501  -1.454810702
## 418 -10.13000647  -0.98498236   6.474605027   8.93542501  -1.454810702
## 419 -10.13000647  -0.98498236   6.474605027   8.93542501  -1.454810702
## 420 -10.13000647  -0.98498236   6.474605027   8.93542501  -1.454810702
## 421 -10.13000647  -0.98498236   6.474605027   8.93542501  -1.454810702
## 422 -10.13000647  -0.98498236   6.474605027   8.93542501  -1.454810702
## 423 -10.13000647  -0.98498236   6.474605027   8.93542501  -1.454810702
## 424 -10.13000647  -0.98498236   6.474605027   8.93542501  -1.454810702
## 425   1.95336356  -6.37705258   7.824455606   3.04505287   0.342187637
## 426   1.95336356  -6.37705258   7.824455606   3.04505287   0.342187637
## 427   1.95336356  -6.37705258   7.824455606   3.04505287   0.342187637
## 428   1.95336356  -6.37705258   7.824455606   3.04505287   0.342187637
## 429   1.95336356  -6.37705258   7.824455606   3.04505287   0.342187637
## 430   1.95336356  -6.37705258   7.824455606   3.04505287   0.342187637
## 431   1.95336356  -6.37705258   7.824455606   3.04505287   0.342187637
## 432   1.95336356  -6.37705258   7.824455606   3.04505287   0.342187637
## 433  -5.29381632  44.89728565  -4.590020117  -0.02445028  36.749521874
## 434  -5.29381632  44.89728565  -4.590020117  -0.02445028  36.749521874
## 435  -5.29381632  44.89728565  -4.590020117  -0.02445028  36.749521874
## 436  -5.29381632  44.89728565  -4.590020117  -0.02445028  36.749521874
## 437  -5.29381632  44.89728565  -4.590020117  -0.02445028  36.749521874
## 438  -5.29381632  44.89728565  -4.590020117  -0.02445028  36.749521874
## 439  -5.29381632  44.89728565  -4.590020117  -0.02445028  36.749521874
## 440  -5.29381632  44.89728565  -4.590020117  -0.02445028  36.749521874
## 441  -3.40891330  -1.97530945  -0.004621172  -1.45216054  -1.751683806
## 442  -3.40891330  -1.97530945  -0.004621172  -1.45216054  -1.751683806
## 443  -3.40891330  -1.97530945  -0.004621172  -1.45216054  -1.751683806
## 444  -3.40891330  -1.97530945  -0.004621172  -1.45216054  -1.751683806
## 445  -3.40891330  -1.97530945  -0.004621172  -1.45216054  -1.751683806
## 446  -3.40891330  -1.97530945  -0.004621172  -1.45216054  -1.751683806
## 447  -3.40891330  -1.97530945  -0.004621172  -1.45216054  -1.751683806
## 448  -3.40891330  -1.97530945  -0.004621172  -1.45216054  -1.751683806
## 449  -4.35724775  -7.80515553  -5.610389184   4.10115049   9.258811188
## 450  -4.35724775  -7.80515553  -5.610389184   4.10115049   9.258811188
## 451  -4.35724775  -7.80515553  -5.610389184   4.10115049   9.258811188
## 452  -4.35724775  -7.80515553  -5.610389184   4.10115049   9.258811188
## 453  -4.35724775  -7.80515553  -5.610389184   4.10115049   9.258811188
## 454  -4.35724775  -7.80515553  -5.610389184   4.10115049   9.258811188
## 455  -4.35724775  -7.80515553  -5.610389184   4.10115049   9.258811188
## 456  -4.35724775  -7.80515553  -5.610389184   4.10115049   9.258811188
## 457  -7.03398137  -9.97792178   7.755154481 -16.47104077  21.626129998
## 458  -7.03398137  -9.97792178   7.755154481 -16.47104077  21.626129998
## 459  -7.03398137  -9.97792178   7.755154481 -16.47104077  21.626129998
## 460  -7.03398137  -9.97792178   7.755154481 -16.47104077  21.626129998
## 461  -7.03398137  -9.97792178   7.755154481 -16.47104077  21.626129998
## 462  -7.03398137  -9.97792178   7.755154481 -16.47104077  21.626129998
## 463  -7.03398137  -9.97792178   7.755154481 -16.47104077  21.626129998
## 464  -7.03398137  -9.97792178   7.755154481 -16.47104077  21.626129998
## 465  13.66532749 -11.09093425  -2.939829307   6.56991333  -1.758625807
## 466  13.66532749 -11.09093425  -2.939829307   6.56991333  -1.758625807
## 467  13.66532749 -11.09093425  -2.939829307   6.56991333  -1.758625807
## 468  13.66532749 -11.09093425  -2.939829307   6.56991333  -1.758625807
## 469  13.66532749 -11.09093425  -2.939829307   6.56991333  -1.758625807
## 470  13.66532749 -11.09093425  -2.939829307   6.56991333  -1.758625807
## 471  13.66532749 -11.09093425  -2.939829307   6.56991333  -1.758625807
## 472  13.66532749 -11.09093425  -2.939829307   6.56991333  -1.758625807
## 473   0.94298517  -0.37270009   1.543703845  -1.78820120  -0.281015060
## 474   0.94298517  -0.37270009   1.543703845  -1.78820120  -0.281015060
## 475   0.94298517  -0.37270009   1.543703845  -1.78820120  -0.281015060
## 476   0.94298517  -0.37270009   1.543703845  -1.78820120  -0.281015060
## 477   0.94298517  -0.37270009   1.543703845  -1.78820120  -0.281015060
## 478   0.94298517  -0.37270009   1.543703845  -1.78820120  -0.281015060
## 479   0.94298517  -0.37270009   1.543703845  -1.78820120  -0.281015060
## 480   0.94298517  -0.37270009   1.543703845  -1.78820120  -0.281015060
## 481  -0.13789337  -3.40222101  -0.689695218   3.49296439  -1.594255164
## 482  -0.13789337  -3.40222101  -0.689695218   3.49296439  -1.594255164
## 483  -0.13789337  -3.40222101  -0.689695218   3.49296439  -1.594255164
## 484  -0.13789337  -3.40222101  -0.689695218   3.49296439  -1.594255164
## 485  -0.13789337  -3.40222101  -0.689695218   3.49296439  -1.594255164
## 486  -0.13789337  -3.40222101  -0.689695218   3.49296439  -1.594255164
## 487  -0.13789337  -3.40222101  -0.689695218   3.49296439  -1.594255164
## 488  -0.13789337  -3.40222101  -0.689695218   3.49296439  -1.594255164
## 489   6.19972582   1.19159476   2.142264189   2.74124523   2.177224230
## 490   6.19972582   1.19159476   2.142264189   2.74124523   2.177224230
## 491   6.19972582   1.19159476   2.142264189   2.74124523   2.177224230
## 492   6.19972582   1.19159476   2.142264189   2.74124523   2.177224230
## 493   6.19972582   1.19159476   2.142264189   2.74124523   2.177224230
## 494   6.19972582   1.19159476   2.142264189   2.74124523   2.177224230
## 495   6.19972582   1.19159476   2.142264189   2.74124523   2.177224230
## 496   6.19972582   1.19159476   2.142264189   2.74124523   2.177224230
## 497 -15.18021659  11.72502384  13.135559834   6.62384058  -2.589955914
## 498 -15.18021659  11.72502384  13.135559834   6.62384058  -2.589955914
## 499 -15.18021659  11.72502384  13.135559834   6.62384058  -2.589955914
## 500 -15.18021659  11.72502384  13.135559834   6.62384058  -2.589955914
## 501 -15.18021659  11.72502384  13.135559834   6.62384058  -2.589955914
## 502 -15.18021659  11.72502384  13.135559834   6.62384058  -2.589955914
## 503 -15.18021659  11.72502384  13.135559834   6.62384058  -2.589955914
## 504 -15.18021659  11.72502384  13.135559834   6.62384058  -2.589955914
## 505   5.03393246  -3.27369214  -6.031591060   3.46718994   1.461289388
## 506   5.03393246  -3.27369214  -6.031591060   3.46718994   1.461289388
## 507   5.03393246  -3.27369214  -6.031591060   3.46718994   1.461289388
## 508   5.03393246  -3.27369214  -6.031591060   3.46718994   1.461289388
## 509   5.03393246  -3.27369214  -6.031591060   3.46718994   1.461289388
## 510   5.03393246  -3.27369214  -6.031591060   3.46718994   1.461289388
## 511   5.03393246  -3.27369214  -6.031591060   3.46718994   1.461289388
## 512   5.03393246  -3.27369214  -6.031591060   3.46718994   1.461289388
## 513   0.76533447   4.11541244   1.649971987   2.94909116  -3.699086963
## 514   0.76533447   4.11541244   1.649971987   2.94909116  -3.699086963
## 515   0.76533447   4.11541244   1.649971987   2.94909116  -3.699086963
## 516   0.76533447   4.11541244   1.649971987   2.94909116  -3.699086963
## 517   0.76533447   4.11541244   1.649971987   2.94909116  -3.699086963
## 518   0.76533447   4.11541244   1.649971987   2.94909116  -3.699086963
## 519   0.76533447   4.11541244   1.649971987   2.94909116  -3.699086963
## 520   0.76533447   4.11541244   1.649971987   2.94909116  -3.699086963
## 521  19.48791443   9.44220107  19.736026445  -7.84805827  -4.007318409
## 522  19.48791443   9.44220107  19.736026445  -7.84805827  -4.007318409
## 523  19.48791443   9.44220107  19.736026445  -7.84805827  -4.007318409
## 524  19.48791443   9.44220107  19.736026445  -7.84805827  -4.007318409
## 525  19.48791443   9.44220107  19.736026445  -7.84805827  -4.007318409
## 526  19.48791443   9.44220107  19.736026445  -7.84805827  -4.007318409
## 527  19.48791443   9.44220107  19.736026445  -7.84805827  -4.007318409
## 528  19.48791443   9.44220107  19.736026445  -7.84805827  -4.007318409
## 529  -7.21277836 -10.57349526   1.898494645  -1.55811398   0.966180177
## 530  -7.21277836 -10.57349526   1.898494645  -1.55811398   0.966180177
## 531  -7.21277836 -10.57349526   1.898494645  -1.55811398   0.966180177
## 532  -7.21277836 -10.57349526   1.898494645  -1.55811398   0.966180177
## 533  -7.21277836 -10.57349526   1.898494645  -1.55811398   0.966180177
## 534  -7.21277836 -10.57349526   1.898494645  -1.55811398   0.966180177
## 535  -7.21277836 -10.57349526   1.898494645  -1.55811398   0.966180177
## 536  -7.21277836 -10.57349526   1.898494645  -1.55811398   0.966180177
## 537  28.30009071  38.71559649  32.680370800  -3.81399428   8.925120038
## 538  28.30009071  38.71559649  32.680370800  -3.81399428   8.925120038
## 539  28.30009071  38.71559649  32.680370800  -3.81399428   8.925120038
## 540  28.30009071  38.71559649  32.680370800  -3.81399428   8.925120038
## 541  28.30009071  38.71559649  32.680370800  -3.81399428   8.925120038
## 542  28.30009071  38.71559649  32.680370800  -3.81399428   8.925120038
## 543  28.30009071  38.71559649  32.680370800  -3.81399428   8.925120038
## 544  28.30009071  38.71559649  32.680370800  -3.81399428   8.925120038
## 545   1.83841445  -3.15363798   3.677859021  -4.24883167   2.675326052
## 546   1.83841445  -3.15363798   3.677859021  -4.24883167   2.675326052
## 547   1.83841445  -3.15363798   3.677859021  -4.24883167   2.675326052
## 548   1.83841445  -3.15363798   3.677859021  -4.24883167   2.675326052
## 549   1.83841445  -3.15363798   3.677859021  -4.24883167   2.675326052
## 550   1.83841445  -3.15363798   3.677859021  -4.24883167   2.675326052
## 551   1.83841445  -3.15363798   3.677859021  -4.24883167   2.675326052
## 552   1.83841445  -3.15363798   3.677859021  -4.24883167   2.675326052
## 553  10.08318617   6.79054327 -10.346459258   0.90069086  -0.678210634
## 554  10.08318617   6.79054327 -10.346459258   0.90069086  -0.678210634
## 555  10.08318617   6.79054327 -10.346459258   0.90069086  -0.678210634
## 556  10.08318617   6.79054327 -10.346459258   0.90069086  -0.678210634
## 557  10.08318617   6.79054327 -10.346459258   0.90069086  -0.678210634
## 558  10.08318617   6.79054327 -10.346459258   0.90069086  -0.678210634
## 559  10.08318617   6.79054327 -10.346459258   0.90069086  -0.678210634
## 560  10.08318617   6.79054327 -10.346459258   0.90069086  -0.678210634
## 561   8.50854005   9.96215221   9.306278793   8.54483196  -1.999193230
## 562   8.50854005   9.96215221   9.306278793   8.54483196  -1.999193230
## 563   8.50854005   9.96215221   9.306278793   8.54483196  -1.999193230
## 564   8.50854005   9.96215221   9.306278793   8.54483196  -1.999193230
## 565   8.50854005   9.96215221   9.306278793   8.54483196  -1.999193230
## 566   8.50854005   9.96215221   9.306278793   8.54483196  -1.999193230
## 567   8.50854005   9.96215221   9.306278793   8.54483196  -1.999193230
## 568   8.50854005   9.96215221   9.306278793   8.54483196  -1.999193230
## 569   2.48714246  -2.85083897  -2.859954223   0.05475242  -6.802446220
## 570   2.48714246  -2.85083897  -2.859954223   0.05475242  -6.802446220
## 571   2.48714246  -2.85083897  -2.859954223   0.05475242  -6.802446220
## 572   2.48714246  -2.85083897  -2.859954223   0.05475242  -6.802446220
## 573   2.48714246  -2.85083897  -2.859954223   0.05475242  -6.802446220
## 574   2.48714246  -2.85083897  -2.859954223   0.05475242  -6.802446220
## 575   2.48714246  -2.85083897  -2.859954223   0.05475242  -6.802446220
## 576   2.48714246  -2.85083897  -2.859954223   0.05475242  -6.802446220
## 577   4.70528711 -13.14138104  -8.544536353 -33.25987446  42.034781009
## 578   4.70528711 -13.14138104  -8.544536353 -33.25987446  42.034781009
## 579   4.70528711 -13.14138104  -8.544536353 -33.25987446  42.034781009
## 580   4.70528711 -13.14138104  -8.544536353 -33.25987446  42.034781009
## 581   4.70528711 -13.14138104  -8.544536353 -33.25987446  42.034781009
## 582   4.70528711 -13.14138104  -8.544536353 -33.25987446  42.034781009
## 583   4.70528711 -13.14138104  -8.544536353 -33.25987446  42.034781009
## 584   4.70528711 -13.14138104  -8.544536353 -33.25987446  42.034781009
## 585   0.51773600  -2.25511263  -1.403672209   4.11554780   4.640659399
## 586   0.51773600  -2.25511263  -1.403672209   4.11554780   4.640659399
## 587   0.51773600  -2.25511263  -1.403672209   4.11554780   4.640659399
## 588   0.51773600  -2.25511263  -1.403672209   4.11554780   4.640659399
## 589   0.51773600  -2.25511263  -1.403672209   4.11554780   4.640659399
## 590   0.51773600  -2.25511263  -1.403672209   4.11554780   4.640659399
## 591   0.51773600  -2.25511263  -1.403672209   4.11554780   4.640659399
## 592   0.51773600  -2.25511263  -1.403672209   4.11554780   4.640659399
## 593   3.89574240   0.91104849   1.522734630   2.96389168  -1.737955147
## 594   3.89574240   0.91104849   1.522734630   2.96389168  -1.737955147
## 595   3.89574240   0.91104849   1.522734630   2.96389168  -1.737955147
## 596   3.89574240   0.91104849   1.522734630   2.96389168  -1.737955147
## 597   3.89574240   0.91104849   1.522734630   2.96389168  -1.737955147
## 598   3.89574240   0.91104849   1.522734630   2.96389168  -1.737955147
## 599   3.89574240   0.91104849   1.522734630   2.96389168  -1.737955147
## 600   3.89574240   0.91104849   1.522734630   2.96389168  -1.737955147
## 601   0.66517088  -0.07231114   6.484188301  -2.53718755   3.296285008
## 602   0.66517088  -0.07231114   6.484188301  -2.53718755   3.296285008
## 603   0.66517088  -0.07231114   6.484188301  -2.53718755   3.296285008
## 604   0.66517088  -0.07231114   6.484188301  -2.53718755   3.296285008
## 605   0.66517088  -0.07231114   6.484188301  -2.53718755   3.296285008
## 606   0.66517088  -0.07231114   6.484188301  -2.53718755   3.296285008
## 607   0.66517088  -0.07231114   6.484188301  -2.53718755   3.296285008
## 608   0.66517088  -0.07231114   6.484188301  -2.53718755   3.296285008
## 609   1.30228301  -7.04630976  -8.231557042  -7.80803933   0.448994916
## 610   1.30228301  -7.04630976  -8.231557042  -7.80803933   0.448994916
## 611   1.30228301  -7.04630976  -8.231557042  -7.80803933   0.448994916
## 612   1.30228301  -7.04630976  -8.231557042  -7.80803933   0.448994916
## 613   1.30228301  -7.04630976  -8.231557042  -7.80803933   0.448994916
## 614   1.30228301  -7.04630976  -8.231557042  -7.80803933   0.448994916
## 615   1.30228301  -7.04630976  -8.231557042  -7.80803933   0.448994916
## 616   1.30228301  -7.04630976  -8.231557042  -7.80803933   0.448994916
## 617 -24.60756680  -7.70911548 -26.468564852  39.19207372  36.511516384
## 618 -24.60756680  -7.70911548 -26.468564852  39.19207372  36.511516384
## 619 -24.60756680  -7.70911548 -26.468564852  39.19207372  36.511516384
## 620 -24.60756680  -7.70911548 -26.468564852  39.19207372  36.511516384
## 621 -24.60756680  -7.70911548 -26.468564852  39.19207372  36.511516384
## 622 -24.60756680  -7.70911548 -26.468564852  39.19207372  36.511516384
## 623 -24.60756680  -7.70911548 -26.468564852  39.19207372  36.511516384
## 624 -24.60756680  -7.70911548 -26.468564852  39.19207372  36.511516384
## 625 -29.13455174  -2.14428687   6.430716708  -4.66485278   5.254671990
## 626 -29.13455174  -2.14428687   6.430716708  -4.66485278   5.254671990
## 627 -29.13455174  -2.14428687   6.430716708  -4.66485278   5.254671990
## 628 -29.13455174  -2.14428687   6.430716708  -4.66485278   5.254671990
## 629 -29.13455174  -2.14428687   6.430716708  -4.66485278   5.254671990
## 630 -29.13455174  -2.14428687   6.430716708  -4.66485278   5.254671990
## 631 -29.13455174  -2.14428687   6.430716708  -4.66485278   5.254671990
## 632 -29.13455174  -2.14428687   6.430716708  -4.66485278   5.254671990
## 633  -9.97076608  -7.50128611   2.550011768 -21.33805481  -1.263620304
## 634  -9.97076608  -7.50128611   2.550011768 -21.33805481  -1.263620304
## 635  -9.97076608  -7.50128611   2.550011768 -21.33805481  -1.263620304
## 636  -9.97076608  -7.50128611   2.550011768 -21.33805481  -1.263620304
## 637  -9.97076608  -7.50128611   2.550011768 -21.33805481  -1.263620304
## 638  -9.97076608  -7.50128611   2.550011768 -21.33805481  -1.263620304
## 639  -9.97076608  -7.50128611   2.550011768 -21.33805481  -1.263620304
## 640  -9.97076608  -7.50128611   2.550011768 -21.33805481  -1.263620304
## 641  -1.49478696   1.20301182  -3.595406774   3.14555061  -2.605473690
## 642  -1.49478696   1.20301182  -3.595406774   3.14555061  -2.605473690
## 643  -1.49478696   1.20301182  -3.595406774   3.14555061  -2.605473690
## 644  -1.49478696   1.20301182  -3.595406774   3.14555061  -2.605473690
## 645  -1.49478696   1.20301182  -3.595406774   3.14555061  -2.605473690
## 646  -1.49478696   1.20301182  -3.595406774   3.14555061  -2.605473690
## 647  -1.49478696   1.20301182  -3.595406774   3.14555061  -2.605473690
## 648  -1.49478696   1.20301182  -3.595406774   3.14555061  -2.605473690
## 649 -19.83120324 -27.63007049 -28.484940461 -15.85990057  26.151688597
## 650 -19.83120324 -27.63007049 -28.484940461 -15.85990057  26.151688597
## 651 -19.83120324 -27.63007049 -28.484940461 -15.85990057  26.151688597
## 652 -19.83120324 -27.63007049 -28.484940461 -15.85990057  26.151688597
## 653 -19.83120324 -27.63007049 -28.484940461 -15.85990057  26.151688597
## 654 -19.83120324 -27.63007049 -28.484940461 -15.85990057  26.151688597
## 655 -19.83120324 -27.63007049 -28.484940461 -15.85990057  26.151688597
## 656 -19.83120324 -27.63007049 -28.484940461 -15.85990057  26.151688597
## 657  13.79435081  -7.83320895   0.543492610  10.09541526   1.917848176
## 658  13.79435081  -7.83320895   0.543492610  10.09541526   1.917848176
## 659  13.79435081  -7.83320895   0.543492610  10.09541526   1.917848176
## 660  13.79435081  -7.83320895   0.543492610  10.09541526   1.917848176
## 661  13.79435081  -7.83320895   0.543492610  10.09541526   1.917848176
## 662  13.79435081  -7.83320895   0.543492610  10.09541526   1.917848176
## 663  13.79435081  -7.83320895   0.543492610  10.09541526   1.917848176
## 664  13.79435081  -7.83320895   0.543492610  10.09541526   1.917848176
## 665   0.33290950   4.66906210  -1.378964228   1.68592968   0.446102185
## 666   0.33290950   4.66906210  -1.378964228   1.68592968   0.446102185
## 667   0.33290950   4.66906210  -1.378964228   1.68592968   0.446102185
## 668   0.33290950   4.66906210  -1.378964228   1.68592968   0.446102185
## 669   0.33290950   4.66906210  -1.378964228   1.68592968   0.446102185
## 670   0.33290950   4.66906210  -1.378964228   1.68592968   0.446102185
## 671   0.33290950   4.66906210  -1.378964228   1.68592968   0.446102185
## 672   0.33290950   4.66906210  -1.378964228   1.68592968   0.446102185
## 673  -2.53438973  -1.96753516   5.146111613   1.09525963  -6.834999507
## 674  -2.53438973  -1.96753516   5.146111613   1.09525963  -6.834999507
## 675  -2.53438973  -1.96753516   5.146111613   1.09525963  -6.834999507
## 676  -2.53438973  -1.96753516   5.146111613   1.09525963  -6.834999507
## 677  -2.53438973  -1.96753516   5.146111613   1.09525963  -6.834999507
## 678  -2.53438973  -1.96753516   5.146111613   1.09525963  -6.834999507
## 679  -2.53438973  -1.96753516   5.146111613   1.09525963  -6.834999507
## 680  -2.53438973  -1.96753516   5.146111613   1.09525963  -6.834999507
## 681   5.71877655  -2.80025792   0.098403547   9.10896163  -2.916496720
## 682   5.71877655  -2.80025792   0.098403547   9.10896163  -2.916496720
## 683   5.71877655  -2.80025792   0.098403547   9.10896163  -2.916496720
## 684   5.71877655  -2.80025792   0.098403547   9.10896163  -2.916496720
## 685   5.71877655  -2.80025792   0.098403547   9.10896163  -2.916496720
## 686   5.71877655  -2.80025792   0.098403547   9.10896163  -2.916496720
## 687   5.71877655  -2.80025792   0.098403547   9.10896163  -2.916496720
## 688   5.71877655  -2.80025792   0.098403547   9.10896163  -2.916496720
## 689   3.00829297  -0.46244760  -8.618889205  -0.48520404 -12.974914940
## 690   3.00829297  -0.46244760  -8.618889205  -0.48520404 -12.974914940
## 691   3.00829297  -0.46244760  -8.618889205  -0.48520404 -12.974914940
## 692   3.00829297  -0.46244760  -8.618889205  -0.48520404 -12.974914940
## 693   3.00829297  -0.46244760  -8.618889205  -0.48520404 -12.974914940
## 694   3.00829297  -0.46244760  -8.618889205  -0.48520404 -12.974914940
## 695   3.00829297  -0.46244760  -8.618889205  -0.48520404 -12.974914940
## 696   3.00829297  -0.46244760  -8.618889205  -0.48520404 -12.974914940
## 697  -2.07310351  -5.08058741  13.898955857   7.58316600   2.787891732
## 698  -2.07310351  -5.08058741  13.898955857   7.58316600   2.787891732
## 699  -2.07310351  -5.08058741  13.898955857   7.58316600   2.787891732
## 700  -2.07310351  -5.08058741  13.898955857   7.58316600   2.787891732
## 701  -2.07310351  -5.08058741  13.898955857   7.58316600   2.787891732
## 702  -2.07310351  -5.08058741  13.898955857   7.58316600   2.787891732
## 703  -2.07310351  -5.08058741  13.898955857   7.58316600   2.787891732
## 704  -2.07310351  -5.08058741  13.898955857   7.58316600   2.787891732
## 705  -2.88458865   1.19934648  -5.296773360  -8.20299361  -6.071652094
## 706  -2.88458865   1.19934648  -5.296773360  -8.20299361  -6.071652094
## 707  -2.88458865   1.19934648  -5.296773360  -8.20299361  -6.071652094
## 708  -2.88458865   1.19934648  -5.296773360  -8.20299361  -6.071652094
## 709  -2.88458865   1.19934648  -5.296773360  -8.20299361  -6.071652094
## 710  -2.88458865   1.19934648  -5.296773360  -8.20299361  -6.071652094
## 711  -2.88458865   1.19934648  -5.296773360  -8.20299361  -6.071652094
## 712  -2.88458865   1.19934648  -5.296773360  -8.20299361  -6.071652094
## 713   6.96269739   7.23583214 -10.873694627  -3.46250081  -8.217166164
## 714   6.96269739   7.23583214 -10.873694627  -3.46250081  -8.217166164
## 715   6.96269739   7.23583214 -10.873694627  -3.46250081  -8.217166164
## 716   6.96269739   7.23583214 -10.873694627  -3.46250081  -8.217166164
## 717   6.96269739   7.23583214 -10.873694627  -3.46250081  -8.217166164
## 718   6.96269739   7.23583214 -10.873694627  -3.46250081  -8.217166164
## 719   6.96269739   7.23583214 -10.873694627  -3.46250081  -8.217166164
## 720   6.96269739   7.23583214 -10.873694627  -3.46250081  -8.217166164
## 721 -12.95702608   6.76325142  13.622172044 -10.99666230   4.669946319
## 722 -12.95702608   6.76325142  13.622172044 -10.99666230   4.669946319
## 723 -12.95702608   6.76325142  13.622172044 -10.99666230   4.669946319
## 724 -12.95702608   6.76325142  13.622172044 -10.99666230   4.669946319
## 725 -12.95702608   6.76325142  13.622172044 -10.99666230   4.669946319
## 726 -12.95702608   6.76325142  13.622172044 -10.99666230   4.669946319
## 727 -12.95702608   6.76325142  13.622172044 -10.99666230   4.669946319
## 728 -12.95702608   6.76325142  13.622172044 -10.99666230   4.669946319
## 729   0.64239652   3.82505723   1.889767022   2.77505772   0.606503333
## 730   0.64239652   3.82505723   1.889767022   2.77505772   0.606503333
## 731   0.64239652   3.82505723   1.889767022   2.77505772   0.606503333
## 732   0.64239652   3.82505723   1.889767022   2.77505772   0.606503333
## 733   0.64239652   3.82505723   1.889767022   2.77505772   0.606503333
## 734   0.64239652   3.82505723   1.889767022   2.77505772   0.606503333
## 735   0.64239652   3.82505723   1.889767022   2.77505772   0.606503333
## 736   0.64239652   3.82505723   1.889767022   2.77505772   0.606503333
## 737  21.66475946 -11.72280279 -11.115767105   2.29355599  -3.996286385
## 738  21.66475946 -11.72280279 -11.115767105   2.29355599  -3.996286385
## 739  21.66475946 -11.72280279 -11.115767105   2.29355599  -3.996286385
## 740  21.66475946 -11.72280279 -11.115767105   2.29355599  -3.996286385
## 741  21.66475946 -11.72280279 -11.115767105   2.29355599  -3.996286385
## 742  21.66475946 -11.72280279 -11.115767105   2.29355599  -3.996286385
## 743  21.66475946 -11.72280279 -11.115767105   2.29355599  -3.996286385
## 744  21.66475946 -11.72280279 -11.115767105   2.29355599  -3.996286385
## 745   9.61002785   2.40484745 -14.390238469 -12.44090565 -12.124192724
## 746   9.61002785   2.40484745 -14.390238469 -12.44090565 -12.124192724
## 747   9.61002785   2.40484745 -14.390238469 -12.44090565 -12.124192724
## 748   9.61002785   2.40484745 -14.390238469 -12.44090565 -12.124192724
## 749   9.61002785   2.40484745 -14.390238469 -12.44090565 -12.124192724
## 750   9.61002785   2.40484745 -14.390238469 -12.44090565 -12.124192724
## 751   9.61002785   2.40484745 -14.390238469 -12.44090565 -12.124192724
## 752   9.61002785   2.40484745 -14.390238469 -12.44090565 -12.124192724
## 753   5.98765395  -6.41620268  15.330833860  16.94425132 -12.097584092
## 754   5.98765395  -6.41620268  15.330833860  16.94425132 -12.097584092
## 755   5.98765395  -6.41620268  15.330833860  16.94425132 -12.097584092
## 756   5.98765395  -6.41620268  15.330833860  16.94425132 -12.097584092
## 757   5.98765395  -6.41620268  15.330833860  16.94425132 -12.097584092
## 758   5.98765395  -6.41620268  15.330833860  16.94425132 -12.097584092
## 759   5.98765395  -6.41620268  15.330833860  16.94425132 -12.097584092
## 760   5.98765395  -6.41620268  15.330833860  16.94425132 -12.097584092
## 761  27.16852646 -44.76099809  14.743756189 -12.53729384   2.516189006
## 762  27.16852646 -44.76099809  14.743756189 -12.53729384   2.516189006
## 763  27.16852646 -44.76099809  14.743756189 -12.53729384   2.516189006
## 764  27.16852646 -44.76099809  14.743756189 -12.53729384   2.516189006
## 765  27.16852646 -44.76099809  14.743756189 -12.53729384   2.516189006
## 766  27.16852646 -44.76099809  14.743756189 -12.53729384   2.516189006
## 767  27.16852646 -44.76099809  14.743756189 -12.53729384   2.516189006
## 768  27.16852646 -44.76099809  14.743756189 -12.53729384   2.516189006
## 769   2.77388870  -2.66078549   2.445399916  -7.65407245 -12.820593680
## 770   2.77388870  -2.66078549   2.445399916  -7.65407245 -12.820593680
## 771   2.77388870  -2.66078549   2.445399916  -7.65407245 -12.820593680
## 772   2.77388870  -2.66078549   2.445399916  -7.65407245 -12.820593680
## 773   2.77388870  -2.66078549   2.445399916  -7.65407245 -12.820593680
## 774   2.77388870  -2.66078549   2.445399916  -7.65407245 -12.820593680
## 775   2.77388870  -2.66078549   2.445399916  -7.65407245 -12.820593680
## 776   2.77388870  -2.66078549   2.445399916  -7.65407245 -12.820593680
## 777  -0.15987221 -22.00903719   6.156914761  -7.08636965   4.310423747
## 778  -0.15987221 -22.00903719   6.156914761  -7.08636965   4.310423747
## 779  -0.15987221 -22.00903719   6.156914761  -7.08636965   4.310423747
## 780  -0.15987221 -22.00903719   6.156914761  -7.08636965   4.310423747
## 781  -0.15987221 -22.00903719   6.156914761  -7.08636965   4.310423747
## 782  -0.15987221 -22.00903719   6.156914761  -7.08636965   4.310423747
## 783  -0.15987221 -22.00903719   6.156914761  -7.08636965   4.310423747
## 784  -0.15987221 -22.00903719   6.156914761  -7.08636965   4.310423747
## 785  -2.39112743   1.43834480   0.354975466   2.53588991   2.343566295
## 786  -2.39112743   1.43834480   0.354975466   2.53588991   2.343566295
## 787  -2.39112743   1.43834480   0.354975466   2.53588991   2.343566295
## 788  -2.39112743   1.43834480   0.354975466   2.53588991   2.343566295
## 789  -2.39112743   1.43834480   0.354975466   2.53588991   2.343566295
## 790  -2.39112743   1.43834480   0.354975466   2.53588991   2.343566295
## 791  -2.39112743   1.43834480   0.354975466   2.53588991   2.343566295
## 792  -2.39112743   1.43834480   0.354975466   2.53588991   2.343566295
## 793   6.08515121  -0.57569020   2.063332695  -3.53134924   4.034167362
## 794   6.08515121  -0.57569020   2.063332695  -3.53134924   4.034167362
## 795   6.08515121  -0.57569020   2.063332695  -3.53134924   4.034167362
## 796   6.08515121  -0.57569020   2.063332695  -3.53134924   4.034167362
## 797   6.08515121  -0.57569020   2.063332695  -3.53134924   4.034167362
## 798   6.08515121  -0.57569020   2.063332695  -3.53134924   4.034167362
## 799   6.08515121  -0.57569020   2.063332695  -3.53134924   4.034167362
##       PC69_score   PC70_score  PC71_score   PC72_score   PC73_score  PC74_score
## 1     0.04413868 -18.67989166  66.8429738  -7.43358625  -9.74678496 -13.5659133
## 2     0.04413868 -18.67989166  66.8429738  -7.43358625  -9.74678496 -13.5659133
## 3     0.04413868 -18.67989166  66.8429738  -7.43358625  -9.74678496 -13.5659133
## 4     0.04413868 -18.67989166  66.8429738  -7.43358625  -9.74678496 -13.5659133
## 5     0.04413868 -18.67989166  66.8429738  -7.43358625  -9.74678496 -13.5659133
## 6     0.04413868 -18.67989166  66.8429738  -7.43358625  -9.74678496 -13.5659133
## 7     0.04413868 -18.67989166  66.8429738  -7.43358625  -9.74678496 -13.5659133
## 8     0.04413868 -18.67989166  66.8429738  -7.43358625  -9.74678496 -13.5659133
## 9    -7.77586794  -6.98400998   3.9365765  -0.69022834  -0.82788808   5.5022303
## 10   -7.77586794  -6.98400998   3.9365765  -0.69022834  -0.82788808   5.5022303
## 11   -7.77586794  -6.98400998   3.9365765  -0.69022834  -0.82788808   5.5022303
## 12   -7.77586794  -6.98400998   3.9365765  -0.69022834  -0.82788808   5.5022303
## 13   -7.77586794  -6.98400998   3.9365765  -0.69022834  -0.82788808   5.5022303
## 14   -7.77586794  -6.98400998   3.9365765  -0.69022834  -0.82788808   5.5022303
## 15   -7.77586794  -6.98400998   3.9365765  -0.69022834  -0.82788808   5.5022303
## 16   -7.77586794  -6.98400998   3.9365765  -0.69022834  -0.82788808   5.5022303
## 17   -2.97296687   0.76669073 -10.9739189  -2.95041273  -4.35331528   9.6424402
## 18   -2.97296687   0.76669073 -10.9739189  -2.95041273  -4.35331528   9.6424402
## 19   -2.97296687   0.76669073 -10.9739189  -2.95041273  -4.35331528   9.6424402
## 20   -2.97296687   0.76669073 -10.9739189  -2.95041273  -4.35331528   9.6424402
## 21   -2.97296687   0.76669073 -10.9739189  -2.95041273  -4.35331528   9.6424402
## 22   -2.97296687   0.76669073 -10.9739189  -2.95041273  -4.35331528   9.6424402
## 23   -2.97296687   0.76669073 -10.9739189  -2.95041273  -4.35331528   9.6424402
## 24   -2.97296687   0.76669073 -10.9739189  -2.95041273  -4.35331528   9.6424402
## 25   -2.07070803  12.28430647  13.8107447   0.06377656  -7.61313203 -11.4946036
## 26   -2.07070803  12.28430647  13.8107447   0.06377656  -7.61313203 -11.4946036
## 27   -2.07070803  12.28430647  13.8107447   0.06377656  -7.61313203 -11.4946036
## 28   -2.07070803  12.28430647  13.8107447   0.06377656  -7.61313203 -11.4946036
## 29   -2.07070803  12.28430647  13.8107447   0.06377656  -7.61313203 -11.4946036
## 30   -2.07070803  12.28430647  13.8107447   0.06377656  -7.61313203 -11.4946036
## 31   -2.07070803  12.28430647  13.8107447   0.06377656  -7.61313203 -11.4946036
## 32   -2.07070803  12.28430647  13.8107447   0.06377656  -7.61313203 -11.4946036
## 33  -15.89985466  -8.93785001  -5.8261192  17.08462823  29.96439745   1.5690116
## 34  -15.89985466  -8.93785001  -5.8261192  17.08462823  29.96439745   1.5690116
## 35  -15.89985466  -8.93785001  -5.8261192  17.08462823  29.96439745   1.5690116
## 36  -15.89985466  -8.93785001  -5.8261192  17.08462823  29.96439745   1.5690116
## 37  -15.89985466  -8.93785001  -5.8261192  17.08462823  29.96439745   1.5690116
## 38  -15.89985466  -8.93785001  -5.8261192  17.08462823  29.96439745   1.5690116
## 39  -15.89985466  -8.93785001  -5.8261192  17.08462823  29.96439745   1.5690116
## 40  -15.89985466  -8.93785001  -5.8261192  17.08462823  29.96439745   1.5690116
## 41   -5.34628301  -0.50637705 -12.7425755 -11.92558106   1.32822541  -0.1933516
## 42   -5.34628301  -0.50637705 -12.7425755 -11.92558106   1.32822541  -0.1933516
## 43   -5.34628301  -0.50637705 -12.7425755 -11.92558106   1.32822541  -0.1933516
## 44   -5.34628301  -0.50637705 -12.7425755 -11.92558106   1.32822541  -0.1933516
## 45   -5.34628301  -0.50637705 -12.7425755 -11.92558106   1.32822541  -0.1933516
## 46   -5.34628301  -0.50637705 -12.7425755 -11.92558106   1.32822541  -0.1933516
## 47   -5.34628301  -0.50637705 -12.7425755 -11.92558106   1.32822541  -0.1933516
## 48   -5.34628301  -0.50637705 -12.7425755 -11.92558106   1.32822541  -0.1933516
## 49   -2.07623574  -2.16324518  -4.0661912   2.34828988   1.47019443   1.3100402
## 50   -2.07623574  -2.16324518  -4.0661912   2.34828988   1.47019443   1.3100402
## 51   -2.07623574  -2.16324518  -4.0661912   2.34828988   1.47019443   1.3100402
## 52   -2.07623574  -2.16324518  -4.0661912   2.34828988   1.47019443   1.3100402
## 53   -2.07623574  -2.16324518  -4.0661912   2.34828988   1.47019443   1.3100402
## 54   -2.07623574  -2.16324518  -4.0661912   2.34828988   1.47019443   1.3100402
## 55   -2.07623574  -2.16324518  -4.0661912   2.34828988   1.47019443   1.3100402
## 56   -2.07623574  -2.16324518  -4.0661912   2.34828988   1.47019443   1.3100402
## 57   25.39062490   3.26020890   2.5882160   0.95155848  -3.95223486  -2.6601542
## 58   25.39062490   3.26020890   2.5882160   0.95155848  -3.95223486  -2.6601542
## 59   25.39062490   3.26020890   2.5882160   0.95155848  -3.95223486  -2.6601542
## 60   25.39062490   3.26020890   2.5882160   0.95155848  -3.95223486  -2.6601542
## 61   25.39062490   3.26020890   2.5882160   0.95155848  -3.95223486  -2.6601542
## 62   25.39062490   3.26020890   2.5882160   0.95155848  -3.95223486  -2.6601542
## 63   25.39062490   3.26020890   2.5882160   0.95155848  -3.95223486  -2.6601542
## 64   25.39062490   3.26020890   2.5882160   0.95155848  -3.95223486  -2.6601542
## 65   20.81566393   7.69001521  -5.1445513   6.64915501 -18.15122217  -1.1261849
## 66   20.81566393   7.69001521  -5.1445513   6.64915501 -18.15122217  -1.1261849
## 67   20.81566393   7.69001521  -5.1445513   6.64915501 -18.15122217  -1.1261849
## 68   20.81566393   7.69001521  -5.1445513   6.64915501 -18.15122217  -1.1261849
## 69   20.81566393   7.69001521  -5.1445513   6.64915501 -18.15122217  -1.1261849
## 70   20.81566393   7.69001521  -5.1445513   6.64915501 -18.15122217  -1.1261849
## 71   20.81566393   7.69001521  -5.1445513   6.64915501 -18.15122217  -1.1261849
## 72   20.81566393   7.69001521  -5.1445513   6.64915501 -18.15122217  -1.1261849
## 73   23.85461778   5.02414119 -19.8180473  -6.11024151 -22.05230777   1.4685816
## 74   23.85461778   5.02414119 -19.8180473  -6.11024151 -22.05230777   1.4685816
## 75   23.85461778   5.02414119 -19.8180473  -6.11024151 -22.05230777   1.4685816
## 76   23.85461778   5.02414119 -19.8180473  -6.11024151 -22.05230777   1.4685816
## 77   23.85461778   5.02414119 -19.8180473  -6.11024151 -22.05230777   1.4685816
## 78   23.85461778   5.02414119 -19.8180473  -6.11024151 -22.05230777   1.4685816
## 79   23.85461778   5.02414119 -19.8180473  -6.11024151 -22.05230777   1.4685816
## 80   23.85461778   5.02414119 -19.8180473  -6.11024151 -22.05230777   1.4685816
## 81  -19.40771169 -20.48264653   2.4785939  36.65098186  -7.57203476 -13.3663882
## 82  -19.40771169 -20.48264653   2.4785939  36.65098186  -7.57203476 -13.3663882
## 83  -19.40771169 -20.48264653   2.4785939  36.65098186  -7.57203476 -13.3663882
## 84  -19.40771169 -20.48264653   2.4785939  36.65098186  -7.57203476 -13.3663882
## 85  -19.40771169 -20.48264653   2.4785939  36.65098186  -7.57203476 -13.3663882
## 86  -19.40771169 -20.48264653   2.4785939  36.65098186  -7.57203476 -13.3663882
## 87  -19.40771169 -20.48264653   2.4785939  36.65098186  -7.57203476 -13.3663882
## 88  -19.40771169 -20.48264653   2.4785939  36.65098186  -7.57203476 -13.3663882
## 89    4.15077990   3.80798201  -7.1145107   0.22069428  -1.40108746   2.4492536
## 90    4.15077990   3.80798201  -7.1145107   0.22069428  -1.40108746   2.4492536
## 91    4.15077990   3.80798201  -7.1145107   0.22069428  -1.40108746   2.4492536
## 92    4.15077990   3.80798201  -7.1145107   0.22069428  -1.40108746   2.4492536
## 93    4.15077990   3.80798201  -7.1145107   0.22069428  -1.40108746   2.4492536
## 94    4.15077990   3.80798201  -7.1145107   0.22069428  -1.40108746   2.4492536
## 95    4.15077990   3.80798201  -7.1145107   0.22069428  -1.40108746   2.4492536
## 96    4.15077990   3.80798201  -7.1145107   0.22069428  -1.40108746   2.4492536
## 97  -11.95045026  -2.34908269  -5.2891740   2.01807428  12.45822754 -18.2986122
## 98  -11.95045026  -2.34908269  -5.2891740   2.01807428  12.45822754 -18.2986122
## 99  -11.95045026  -2.34908269  -5.2891740   2.01807428  12.45822754 -18.2986122
## 100 -11.95045026  -2.34908269  -5.2891740   2.01807428  12.45822754 -18.2986122
## 101 -11.95045026  -2.34908269  -5.2891740   2.01807428  12.45822754 -18.2986122
## 102 -11.95045026  -2.34908269  -5.2891740   2.01807428  12.45822754 -18.2986122
## 103 -11.95045026  -2.34908269  -5.2891740   2.01807428  12.45822754 -18.2986122
## 104 -11.95045026  -2.34908269  -5.2891740   2.01807428  12.45822754 -18.2986122
## 105 -11.24557263  12.40681106  16.9034724  -8.70577606   1.69378910   4.2618575
## 106 -11.24557263  12.40681106  16.9034724  -8.70577606   1.69378910   4.2618575
## 107 -11.24557263  12.40681106  16.9034724  -8.70577606   1.69378910   4.2618575
## 108 -11.24557263  12.40681106  16.9034724  -8.70577606   1.69378910   4.2618575
## 109 -11.24557263  12.40681106  16.9034724  -8.70577606   1.69378910   4.2618575
## 110 -11.24557263  12.40681106  16.9034724  -8.70577606   1.69378910   4.2618575
## 111 -11.24557263  12.40681106  16.9034724  -8.70577606   1.69378910   4.2618575
## 112 -11.24557263  12.40681106  16.9034724  -8.70577606   1.69378910   4.2618575
## 113  -0.48429281  -2.58902095  -5.6635093  -2.04599572   5.46661453   0.6143950
## 114  -0.48429281  -2.58902095  -5.6635093  -2.04599572   5.46661453   0.6143950
## 115  -0.48429281  -2.58902095  -5.6635093  -2.04599572   5.46661453   0.6143950
## 116  -0.48429281  -2.58902095  -5.6635093  -2.04599572   5.46661453   0.6143950
## 117  -0.48429281  -2.58902095  -5.6635093  -2.04599572   5.46661453   0.6143950
## 118  -0.48429281  -2.58902095  -5.6635093  -2.04599572   5.46661453   0.6143950
## 119  -0.48429281  -2.58902095  -5.6635093  -2.04599572   5.46661453   0.6143950
## 120  -0.48429281  -2.58902095  -5.6635093  -2.04599572   5.46661453   0.6143950
## 121  13.20647223  12.75185192   3.0035206  -6.71162562  -2.33774539 -17.9924963
## 122  13.20647223  12.75185192   3.0035206  -6.71162562  -2.33774539 -17.9924963
## 123  13.20647223  12.75185192   3.0035206  -6.71162562  -2.33774539 -17.9924963
## 124  13.20647223  12.75185192   3.0035206  -6.71162562  -2.33774539 -17.9924963
## 125  13.20647223  12.75185192   3.0035206  -6.71162562  -2.33774539 -17.9924963
## 126  13.20647223  12.75185192   3.0035206  -6.71162562  -2.33774539 -17.9924963
## 127  13.20647223  12.75185192   3.0035206  -6.71162562  -2.33774539 -17.9924963
## 128  13.20647223  12.75185192   3.0035206  -6.71162562  -2.33774539 -17.9924963
## 129 -10.83349488 -24.88288332 -16.5547587  -4.15045493  -9.51873502 -10.5241350
## 130 -10.83349488 -24.88288332 -16.5547587  -4.15045493  -9.51873502 -10.5241350
## 131 -10.83349488 -24.88288332 -16.5547587  -4.15045493  -9.51873502 -10.5241350
## 132 -10.83349488 -24.88288332 -16.5547587  -4.15045493  -9.51873502 -10.5241350
## 133 -10.83349488 -24.88288332 -16.5547587  -4.15045493  -9.51873502 -10.5241350
## 134 -10.83349488 -24.88288332 -16.5547587  -4.15045493  -9.51873502 -10.5241350
## 135 -10.83349488 -24.88288332 -16.5547587  -4.15045493  -9.51873502 -10.5241350
## 136 -10.83349488 -24.88288332 -16.5547587  -4.15045493  -9.51873502 -10.5241350
## 137   3.34308146   2.14315581   2.9131849   0.17764173  -0.16751334  -2.0451273
## 138   3.34308146   2.14315581   2.9131849   0.17764173  -0.16751334  -2.0451273
## 139   3.34308146   2.14315581   2.9131849   0.17764173  -0.16751334  -2.0451273
## 140   3.34308146   2.14315581   2.9131849   0.17764173  -0.16751334  -2.0451273
## 141   3.34308146   2.14315581   2.9131849   0.17764173  -0.16751334  -2.0451273
## 142   3.34308146   2.14315581   2.9131849   0.17764173  -0.16751334  -2.0451273
## 143   3.34308146   2.14315581   2.9131849   0.17764173  -0.16751334  -2.0451273
## 144   3.34308146   2.14315581   2.9131849   0.17764173  -0.16751334  -2.0451273
## 145  -0.68286189  12.70957408  -0.3383611   9.55622929   8.77183270   8.2274463
## 146  -0.68286189  12.70957408  -0.3383611   9.55622929   8.77183270   8.2274463
## 147  -0.68286189  12.70957408  -0.3383611   9.55622929   8.77183270   8.2274463
## 148  -0.68286189  12.70957408  -0.3383611   9.55622929   8.77183270   8.2274463
## 149  -0.68286189  12.70957408  -0.3383611   9.55622929   8.77183270   8.2274463
## 150  -0.68286189  12.70957408  -0.3383611   9.55622929   8.77183270   8.2274463
## 151  -0.68286189  12.70957408  -0.3383611   9.55622929   8.77183270   8.2274463
## 152  -0.68286189  12.70957408  -0.3383611   9.55622929   8.77183270   8.2274463
## 153  -3.20838666  -0.51177105  -6.6516872  -1.87417270   2.95889584  -0.4580767
## 154  -3.20838666  -0.51177105  -6.6516872  -1.87417270   2.95889584  -0.4580767
## 155  -3.20838666  -0.51177105  -6.6516872  -1.87417270   2.95889584  -0.4580767
## 156  -3.20838666  -0.51177105  -6.6516872  -1.87417270   2.95889584  -0.4580767
## 157  -3.20838666  -0.51177105  -6.6516872  -1.87417270   2.95889584  -0.4580767
## 158  -3.20838666  -0.51177105  -6.6516872  -1.87417270   2.95889584  -0.4580767
## 159  -3.20838666  -0.51177105  -6.6516872  -1.87417270   2.95889584  -0.4580767
## 160  -3.20838666  -0.51177105  -6.6516872  -1.87417270   2.95889584  -0.4580767
## 161 -17.56448011  12.60897425  24.7810161  25.96365503  21.36431790  54.9261455
## 162 -17.56448011  12.60897425  24.7810161  25.96365503  21.36431790  54.9261455
## 163 -17.56448011  12.60897425  24.7810161  25.96365503  21.36431790  54.9261455
## 164 -17.56448011  12.60897425  24.7810161  25.96365503  21.36431790  54.9261455
## 165 -17.56448011  12.60897425  24.7810161  25.96365503  21.36431790  54.9261455
## 166 -17.56448011  12.60897425  24.7810161  25.96365503  21.36431790  54.9261455
## 167 -17.56448011  12.60897425  24.7810161  25.96365503  21.36431790  54.9261455
## 168 -17.56448011  12.60897425  24.7810161  25.96365503  21.36431790  54.9261455
## 169  -4.53723588   1.28126160   3.9907971  -2.50508344  -2.82643647   1.5718410
## 170  -4.53723588   1.28126160   3.9907971  -2.50508344  -2.82643647   1.5718410
## 171  -4.53723588   1.28126160   3.9907971  -2.50508344  -2.82643647   1.5718410
## 172  -4.53723588   1.28126160   3.9907971  -2.50508344  -2.82643647   1.5718410
## 173  -4.53723588   1.28126160   3.9907971  -2.50508344  -2.82643647   1.5718410
## 174  -4.53723588   1.28126160   3.9907971  -2.50508344  -2.82643647   1.5718410
## 175  -4.53723588   1.28126160   3.9907971  -2.50508344  -2.82643647   1.5718410
## 176  -4.53723588   1.28126160   3.9907971  -2.50508344  -2.82643647   1.5718410
## 177  -0.48292514  -0.07670882  -0.6876837   3.74399225  -7.14389168  11.2361606
## 178  -0.48292514  -0.07670882  -0.6876837   3.74399225  -7.14389168  11.2361606
## 179  -0.48292514  -0.07670882  -0.6876837   3.74399225  -7.14389168  11.2361606
## 180  -0.48292514  -0.07670882  -0.6876837   3.74399225  -7.14389168  11.2361606
## 181  -0.48292514  -0.07670882  -0.6876837   3.74399225  -7.14389168  11.2361606
## 182  -0.48292514  -0.07670882  -0.6876837   3.74399225  -7.14389168  11.2361606
## 183  -0.48292514  -0.07670882  -0.6876837   3.74399225  -7.14389168  11.2361606
## 184  -0.48292514  -0.07670882  -0.6876837   3.74399225  -7.14389168  11.2361606
## 185  -2.08980316  -2.55433577   3.2624639   3.39675275  -1.48640478  -0.7613080
## 186  -2.08980316  -2.55433577   3.2624639   3.39675275  -1.48640478  -0.7613080
## 187  -2.08980316  -2.55433577   3.2624639   3.39675275  -1.48640478  -0.7613080
## 188  -2.08980316  -2.55433577   3.2624639   3.39675275  -1.48640478  -0.7613080
## 189  -2.08980316  -2.55433577   3.2624639   3.39675275  -1.48640478  -0.7613080
## 190  -2.08980316  -2.55433577   3.2624639   3.39675275  -1.48640478  -0.7613080
## 191  -2.08980316  -2.55433577   3.2624639   3.39675275  -1.48640478  -0.7613080
## 192  -2.08980316  -2.55433577   3.2624639   3.39675275  -1.48640478  -0.7613080
## 193 -26.42858308  -2.30322936  -5.6821279  -6.44967125  12.57350959 -17.8176181
## 194 -26.42858308  -2.30322936  -5.6821279  -6.44967125  12.57350959 -17.8176181
## 195 -26.42858308  -2.30322936  -5.6821279  -6.44967125  12.57350959 -17.8176181
## 196 -26.42858308  -2.30322936  -5.6821279  -6.44967125  12.57350959 -17.8176181
## 197 -26.42858308  -2.30322936  -5.6821279  -6.44967125  12.57350959 -17.8176181
## 198 -26.42858308  -2.30322936  -5.6821279  -6.44967125  12.57350959 -17.8176181
## 199 -26.42858308  -2.30322936  -5.6821279  -6.44967125  12.57350959 -17.8176181
## 200 -26.42858308  -2.30322936  -5.6821279  -6.44967125  12.57350959 -17.8176181
## 201   5.93121973  -0.36865465  -1.0066419  -0.17300100   1.42404416   6.4679505
## 202   5.93121973  -0.36865465  -1.0066419  -0.17300100   1.42404416   6.4679505
## 203   5.93121973  -0.36865465  -1.0066419  -0.17300100   1.42404416   6.4679505
## 204   5.93121973  -0.36865465  -1.0066419  -0.17300100   1.42404416   6.4679505
## 205   5.93121973  -0.36865465  -1.0066419  -0.17300100   1.42404416   6.4679505
## 206   5.93121973  -0.36865465  -1.0066419  -0.17300100   1.42404416   6.4679505
## 207   5.93121973  -0.36865465  -1.0066419  -0.17300100   1.42404416   6.4679505
## 208   5.93121973  -0.36865465  -1.0066419  -0.17300100   1.42404416   6.4679505
## 209   1.06773454   4.26034960  -1.8866638  -2.77646411  -4.61322288  -0.2347658
## 210   1.06773454   4.26034960  -1.8866638  -2.77646411  -4.61322288  -0.2347658
## 211   1.06773454   4.26034960  -1.8866638  -2.77646411  -4.61322288  -0.2347658
## 212   1.06773454   4.26034960  -1.8866638  -2.77646411  -4.61322288  -0.2347658
## 213   1.06773454   4.26034960  -1.8866638  -2.77646411  -4.61322288  -0.2347658
## 214   1.06773454   4.26034960  -1.8866638  -2.77646411  -4.61322288  -0.2347658
## 215   1.06773454   4.26034960  -1.8866638  -2.77646411  -4.61322288  -0.2347658
## 216   1.06773454   4.26034960  -1.8866638  -2.77646411  -4.61322288  -0.2347658
## 217  -0.73101374  -0.23292005  -0.4025181   3.12688127   1.22172171  -1.9047741
## 218  -0.73101374  -0.23292005  -0.4025181   3.12688127   1.22172171  -1.9047741
## 219  -0.73101374  -0.23292005  -0.4025181   3.12688127   1.22172171  -1.9047741
## 220  -0.73101374  -0.23292005  -0.4025181   3.12688127   1.22172171  -1.9047741
## 221  -0.73101374  -0.23292005  -0.4025181   3.12688127   1.22172171  -1.9047741
## 222  -0.73101374  -0.23292005  -0.4025181   3.12688127   1.22172171  -1.9047741
## 223  -0.73101374  -0.23292005  -0.4025181   3.12688127   1.22172171  -1.9047741
## 224  -0.73101374  -0.23292005  -0.4025181   3.12688127   1.22172171  -1.9047741
## 225  -1.88590036  -1.78339431  -4.2751283  -8.53815649  -4.21867908   2.1211879
## 226  -1.88590036  -1.78339431  -4.2751283  -8.53815649  -4.21867908   2.1211879
## 227  -1.88590036  -1.78339431  -4.2751283  -8.53815649  -4.21867908   2.1211879
## 228  -1.88590036  -1.78339431  -4.2751283  -8.53815649  -4.21867908   2.1211879
## 229  -1.88590036  -1.78339431  -4.2751283  -8.53815649  -4.21867908   2.1211879
## 230  -1.88590036  -1.78339431  -4.2751283  -8.53815649  -4.21867908   2.1211879
## 231  -1.88590036  -1.78339431  -4.2751283  -8.53815649  -4.21867908   2.1211879
## 232  -1.88590036  -1.78339431  -4.2751283  -8.53815649  -4.21867908   2.1211879
## 233  -1.77237828   0.89569002  -7.9859934  -4.61032744   0.48593258   4.8423550
## 234  -1.77237828   0.89569002  -7.9859934  -4.61032744   0.48593258   4.8423550
## 235  -1.77237828   0.89569002  -7.9859934  -4.61032744   0.48593258   4.8423550
## 236  -1.77237828   0.89569002  -7.9859934  -4.61032744   0.48593258   4.8423550
## 237  -1.77237828   0.89569002  -7.9859934  -4.61032744   0.48593258   4.8423550
## 238  -1.77237828   0.89569002  -7.9859934  -4.61032744   0.48593258   4.8423550
## 239  -1.77237828   0.89569002  -7.9859934  -4.61032744   0.48593258   4.8423550
## 240  -1.77237828   0.89569002  -7.9859934  -4.61032744   0.48593258   4.8423550
## 241  11.70439846   3.03262320  17.3474571  -2.09429763  -4.75007217  -3.7610668
## 242  11.70439846   3.03262320  17.3474571  -2.09429763  -4.75007217  -3.7610668
## 243  11.70439846   3.03262320  17.3474571  -2.09429763  -4.75007217  -3.7610668
## 244  11.70439846   3.03262320  17.3474571  -2.09429763  -4.75007217  -3.7610668
## 245  11.70439846   3.03262320  17.3474571  -2.09429763  -4.75007217  -3.7610668
## 246  11.70439846   3.03262320  17.3474571  -2.09429763  -4.75007217  -3.7610668
## 247  11.70439846   3.03262320  17.3474571  -2.09429763  -4.75007217  -3.7610668
## 248  11.70439846   3.03262320  17.3474571  -2.09429763  -4.75007217  -3.7610668
## 249  -8.59332519  26.10452837  17.7763825 -34.23108392  27.95021217  26.2136821
## 250  -8.59332519  26.10452837  17.7763825 -34.23108392  27.95021217  26.2136821
## 251  -8.59332519  26.10452837  17.7763825 -34.23108392  27.95021217  26.2136821
## 252  -8.59332519  26.10452837  17.7763825 -34.23108392  27.95021217  26.2136821
## 253  -8.59332519  26.10452837  17.7763825 -34.23108392  27.95021217  26.2136821
## 254  -8.59332519  26.10452837  17.7763825 -34.23108392  27.95021217  26.2136821
## 255  -8.59332519  26.10452837  17.7763825 -34.23108392  27.95021217  26.2136821
## 256  -8.59332519  26.10452837  17.7763825 -34.23108392  27.95021217  26.2136821
## 257  -3.11200872  -8.10984928   7.0102119 -10.04865712   3.42147483  11.8353613
## 258  -3.11200872  -8.10984928   7.0102119 -10.04865712   3.42147483  11.8353613
## 259  -3.11200872  -8.10984928   7.0102119 -10.04865712   3.42147483  11.8353613
## 260  -3.11200872  -8.10984928   7.0102119 -10.04865712   3.42147483  11.8353613
## 261  -3.11200872  -8.10984928   7.0102119 -10.04865712   3.42147483  11.8353613
## 262  -3.11200872  -8.10984928   7.0102119 -10.04865712   3.42147483  11.8353613
## 263  -3.11200872  -8.10984928   7.0102119 -10.04865712   3.42147483  11.8353613
## 264  -3.11200872  -8.10984928   7.0102119 -10.04865712   3.42147483  11.8353613
## 265 -24.22021120 -23.92551591 -25.3391059  -7.68712595   7.80826119  -3.4745111
## 266 -24.22021120 -23.92551591 -25.3391059  -7.68712595   7.80826119  -3.4745111
## 267 -24.22021120 -23.92551591 -25.3391059  -7.68712595   7.80826119  -3.4745111
## 268 -24.22021120 -23.92551591 -25.3391059  -7.68712595   7.80826119  -3.4745111
## 269 -24.22021120 -23.92551591 -25.3391059  -7.68712595   7.80826119  -3.4745111
## 270 -24.22021120 -23.92551591 -25.3391059  -7.68712595   7.80826119  -3.4745111
## 271 -24.22021120 -23.92551591 -25.3391059  -7.68712595   7.80826119  -3.4745111
## 272 -24.22021120 -23.92551591 -25.3391059  -7.68712595   7.80826119  -3.4745111
## 273   3.24798478  -1.58379232   2.6640594  -0.05293881   6.75513523  -0.1267719
## 274   3.24798478  -1.58379232   2.6640594  -0.05293881   6.75513523  -0.1267719
## 275   3.24798478  -1.58379232   2.6640594  -0.05293881   6.75513523  -0.1267719
## 276   3.24798478  -1.58379232   2.6640594  -0.05293881   6.75513523  -0.1267719
## 277   3.24798478  -1.58379232   2.6640594  -0.05293881   6.75513523  -0.1267719
## 278   3.24798478  -1.58379232   2.6640594  -0.05293881   6.75513523  -0.1267719
## 279   3.24798478  -1.58379232   2.6640594  -0.05293881   6.75513523  -0.1267719
## 280   3.24798478  -1.58379232   2.6640594  -0.05293881   6.75513523  -0.1267719
## 281   3.87859452  -2.09210913  -2.9404488   7.86008692   0.04268940  -6.6424082
## 282   3.87859452  -2.09210913  -2.9404488   7.86008692   0.04268940  -6.6424082
## 283   3.87859452  -2.09210913  -2.9404488   7.86008692   0.04268940  -6.6424082
## 284   3.87859452  -2.09210913  -2.9404488   7.86008692   0.04268940  -6.6424082
## 285   3.87859452  -2.09210913  -2.9404488   7.86008692   0.04268940  -6.6424082
## 286   3.87859452  -2.09210913  -2.9404488   7.86008692   0.04268940  -6.6424082
## 287   3.87859452  -2.09210913  -2.9404488   7.86008692   0.04268940  -6.6424082
## 288   3.87859452  -2.09210913  -2.9404488   7.86008692   0.04268940  -6.6424082
## 289 -12.59532136  27.20310664  -4.1893391  22.15238131 -28.33479307  21.7517612
## 290 -12.59532136  27.20310664  -4.1893391  22.15238131 -28.33479307  21.7517612
## 291 -12.59532136  27.20310664  -4.1893391  22.15238131 -28.33479307  21.7517612
## 292 -12.59532136  27.20310664  -4.1893391  22.15238131 -28.33479307  21.7517612
## 293 -12.59532136  27.20310664  -4.1893391  22.15238131 -28.33479307  21.7517612
## 294 -12.59532136  27.20310664  -4.1893391  22.15238131 -28.33479307  21.7517612
## 295 -12.59532136  27.20310664  -4.1893391  22.15238131 -28.33479307  21.7517612
## 296 -12.59532136  27.20310664  -4.1893391  22.15238131 -28.33479307  21.7517612
## 297   2.56280972   8.02559971 -16.9176285   6.47375739   4.65229090  11.3203495
## 298   2.56280972   8.02559971 -16.9176285   6.47375739   4.65229090  11.3203495
## 299   2.56280972   8.02559971 -16.9176285   6.47375739   4.65229090  11.3203495
## 300   2.56280972   8.02559971 -16.9176285   6.47375739   4.65229090  11.3203495
## 301   2.56280972   8.02559971 -16.9176285   6.47375739   4.65229090  11.3203495
## 302   2.56280972   8.02559971 -16.9176285   6.47375739   4.65229090  11.3203495
## 303   2.56280972   8.02559971 -16.9176285   6.47375739   4.65229090  11.3203495
## 304   2.56280972   8.02559971 -16.9176285   6.47375739   4.65229090  11.3203495
## 305  -8.55976648   5.62442237  -2.4915067  -6.42987540   2.92893901  15.1579802
## 306  -8.55976648   5.62442237  -2.4915067  -6.42987540   2.92893901  15.1579802
## 307  -8.55976648   5.62442237  -2.4915067  -6.42987540   2.92893901  15.1579802
## 308  -8.55976648   5.62442237  -2.4915067  -6.42987540   2.92893901  15.1579802
## 309  -8.55976648   5.62442237  -2.4915067  -6.42987540   2.92893901  15.1579802
## 310  -8.55976648   5.62442237  -2.4915067  -6.42987540   2.92893901  15.1579802
## 311  -8.55976648   5.62442237  -2.4915067  -6.42987540   2.92893901  15.1579802
## 312  -8.55976648   5.62442237  -2.4915067  -6.42987540   2.92893901  15.1579802
## 313   4.18308308  -6.64096022   3.7598289   0.21799077  -0.08739534 -14.7416238
## 314   4.18308308  -6.64096022   3.7598289   0.21799077  -0.08739534 -14.7416238
## 315   4.18308308  -6.64096022   3.7598289   0.21799077  -0.08739534 -14.7416238
## 316   4.18308308  -6.64096022   3.7598289   0.21799077  -0.08739534 -14.7416238
## 317   4.18308308  -6.64096022   3.7598289   0.21799077  -0.08739534 -14.7416238
## 318   4.18308308  -6.64096022   3.7598289   0.21799077  -0.08739534 -14.7416238
## 319   4.18308308  -6.64096022   3.7598289   0.21799077  -0.08739534 -14.7416238
## 320   4.18308308  -6.64096022   3.7598289   0.21799077  -0.08739534 -14.7416238
## 321   4.67952251  -4.41785240   1.7239619  -5.62449013   3.95828787  -1.6102289
## 322   4.67952251  -4.41785240   1.7239619  -5.62449013   3.95828787  -1.6102289
## 323   4.67952251  -4.41785240   1.7239619  -5.62449013   3.95828787  -1.6102289
## 324   4.67952251  -4.41785240   1.7239619  -5.62449013   3.95828787  -1.6102289
## 325   4.67952251  -4.41785240   1.7239619  -5.62449013   3.95828787  -1.6102289
## 326   4.67952251  -4.41785240   1.7239619  -5.62449013   3.95828787  -1.6102289
## 327   4.67952251  -4.41785240   1.7239619  -5.62449013   3.95828787  -1.6102289
## 328   4.67952251  -4.41785240   1.7239619  -5.62449013   3.95828787  -1.6102289
## 329  12.71765127  -5.55128001   1.9160242   2.78143173   5.17709949  15.9990684
## 330  12.71765127  -5.55128001   1.9160242   2.78143173   5.17709949  15.9990684
## 331  12.71765127  -5.55128001   1.9160242   2.78143173   5.17709949  15.9990684
## 332  12.71765127  -5.55128001   1.9160242   2.78143173   5.17709949  15.9990684
## 333  12.71765127  -5.55128001   1.9160242   2.78143173   5.17709949  15.9990684
## 334  12.71765127  -5.55128001   1.9160242   2.78143173   5.17709949  15.9990684
## 335  12.71765127  -5.55128001   1.9160242   2.78143173   5.17709949  15.9990684
## 336  12.71765127  -5.55128001   1.9160242   2.78143173   5.17709949  15.9990684
## 337  -5.04376594   1.65445498   6.5445124  -5.47141680  -8.58756225   7.7496145
## 338  -5.04376594   1.65445498   6.5445124  -5.47141680  -8.58756225   7.7496145
## 339  -5.04376594   1.65445498   6.5445124  -5.47141680  -8.58756225   7.7496145
## 340  -5.04376594   1.65445498   6.5445124  -5.47141680  -8.58756225   7.7496145
## 341  -5.04376594   1.65445498   6.5445124  -5.47141680  -8.58756225   7.7496145
## 342  -5.04376594   1.65445498   6.5445124  -5.47141680  -8.58756225   7.7496145
## 343  -5.04376594   1.65445498   6.5445124  -5.47141680  -8.58756225   7.7496145
## 344  -5.04376594   1.65445498   6.5445124  -5.47141680  -8.58756225   7.7496145
## 345  -8.97889826   0.39519056   5.1687606   1.20591126  10.75102699  -2.3085222
## 346  -8.97889826   0.39519056   5.1687606   1.20591126  10.75102699  -2.3085222
## 347  -8.97889826   0.39519056   5.1687606   1.20591126  10.75102699  -2.3085222
## 348  -8.97889826   0.39519056   5.1687606   1.20591126  10.75102699  -2.3085222
## 349  -8.97889826   0.39519056   5.1687606   1.20591126  10.75102699  -2.3085222
## 350  -8.97889826   0.39519056   5.1687606   1.20591126  10.75102699  -2.3085222
## 351  -8.97889826   0.39519056   5.1687606   1.20591126  10.75102699  -2.3085222
## 352  -8.97889826   0.39519056   5.1687606   1.20591126  10.75102699  -2.3085222
## 353   8.39899619 -37.86635355   1.7397341 -15.41273735  -9.75539033  -6.7061832
## 354   8.39899619 -37.86635355   1.7397341 -15.41273735  -9.75539033  -6.7061832
## 355   8.39899619 -37.86635355   1.7397341 -15.41273735  -9.75539033  -6.7061832
## 356   8.39899619 -37.86635355   1.7397341 -15.41273735  -9.75539033  -6.7061832
## 357   8.39899619 -37.86635355   1.7397341 -15.41273735  -9.75539033  -6.7061832
## 358   8.39899619 -37.86635355   1.7397341 -15.41273735  -9.75539033  -6.7061832
## 359   8.39899619 -37.86635355   1.7397341 -15.41273735  -9.75539033  -6.7061832
## 360   8.39899619 -37.86635355   1.7397341 -15.41273735  -9.75539033  -6.7061832
## 361  -1.43165603  -0.76766078   1.9943419  -3.26263916  -1.10684775   4.0041195
## 362  -1.43165603  -0.76766078   1.9943419  -3.26263916  -1.10684775   4.0041195
## 363  -1.43165603  -0.76766078   1.9943419  -3.26263916  -1.10684775   4.0041195
## 364  -1.43165603  -0.76766078   1.9943419  -3.26263916  -1.10684775   4.0041195
## 365  -1.43165603  -0.76766078   1.9943419  -3.26263916  -1.10684775   4.0041195
## 366  -1.43165603  -0.76766078   1.9943419  -3.26263916  -1.10684775   4.0041195
## 367  -1.43165603  -0.76766078   1.9943419  -3.26263916  -1.10684775   4.0041195
## 368  -1.43165603  -0.76766078   1.9943419  -3.26263916  -1.10684775   4.0041195
## 369   1.54115644  13.93548760  38.0951547  11.20150920  -4.42465777 -43.4705177
## 370   1.54115644  13.93548760  38.0951547  11.20150920  -4.42465777 -43.4705177
## 371   1.54115644  13.93548760  38.0951547  11.20150920  -4.42465777 -43.4705177
## 372   1.54115644  13.93548760  38.0951547  11.20150920  -4.42465777 -43.4705177
## 373   1.54115644  13.93548760  38.0951547  11.20150920  -4.42465777 -43.4705177
## 374   1.54115644  13.93548760  38.0951547  11.20150920  -4.42465777 -43.4705177
## 375   1.54115644  13.93548760  38.0951547  11.20150920  -4.42465777 -43.4705177
## 376   1.54115644  13.93548760  38.0951547  11.20150920  -4.42465777 -43.4705177
## 377 -25.51977404 -16.90121103 -23.2136366 -10.46649194  -4.55308938 -19.7026962
## 378 -25.51977404 -16.90121103 -23.2136366 -10.46649194  -4.55308938 -19.7026962
## 379 -25.51977404 -16.90121103 -23.2136366 -10.46649194  -4.55308938 -19.7026962
## 380 -25.51977404 -16.90121103 -23.2136366 -10.46649194  -4.55308938 -19.7026962
## 381 -25.51977404 -16.90121103 -23.2136366 -10.46649194  -4.55308938 -19.7026962
## 382 -25.51977404 -16.90121103 -23.2136366 -10.46649194  -4.55308938 -19.7026962
## 383 -25.51977404 -16.90121103 -23.2136366 -10.46649194  -4.55308938 -19.7026962
## 384 -25.51977404 -16.90121103 -23.2136366 -10.46649194  -4.55308938 -19.7026962
## 385  -4.05481626  13.89889354   4.9968185  -6.43956895  -1.09290882   5.1892745
## 386  -4.05481626  13.89889354   4.9968185  -6.43956895  -1.09290882   5.1892745
## 387  -4.05481626  13.89889354   4.9968185  -6.43956895  -1.09290882   5.1892745
## 388  -4.05481626  13.89889354   4.9968185  -6.43956895  -1.09290882   5.1892745
## 389  -4.05481626  13.89889354   4.9968185  -6.43956895  -1.09290882   5.1892745
## 390  -4.05481626  13.89889354   4.9968185  -6.43956895  -1.09290882   5.1892745
## 391  -4.05481626  13.89889354   4.9968185  -6.43956895  -1.09290882   5.1892745
## 392  -4.05481626  13.89889354   4.9968185  -6.43956895  -1.09290882   5.1892745
## 393  -1.65318496   2.93933233  -2.3763375   7.97227395   0.81268324  -5.4751883
## 394  -1.65318496   2.93933233  -2.3763375   7.97227395   0.81268324  -5.4751883
## 395  -1.65318496   2.93933233  -2.3763375   7.97227395   0.81268324  -5.4751883
## 396  -1.65318496   2.93933233  -2.3763375   7.97227395   0.81268324  -5.4751883
## 397  -1.65318496   2.93933233  -2.3763375   7.97227395   0.81268324  -5.4751883
## 398  -1.65318496   2.93933233  -2.3763375   7.97227395   0.81268324  -5.4751883
## 399  -1.65318496   2.93933233  -2.3763375   7.97227395   0.81268324  -5.4751883
## 400  -1.65318496   2.93933233  -2.3763375   7.97227395   0.81268324  -5.4751883
## 401 -11.51204645   3.66508777   1.9245312   8.04237834   8.12876939   7.1077790
## 402 -11.51204645   3.66508777   1.9245312   8.04237834   8.12876939   7.1077790
## 403 -11.51204645   3.66508777   1.9245312   8.04237834   8.12876939   7.1077790
## 404 -11.51204645   3.66508777   1.9245312   8.04237834   8.12876939   7.1077790
## 405 -11.51204645   3.66508777   1.9245312   8.04237834   8.12876939   7.1077790
## 406 -11.51204645   3.66508777   1.9245312   8.04237834   8.12876939   7.1077790
## 407 -11.51204645   3.66508777   1.9245312   8.04237834   8.12876939   7.1077790
## 408 -11.51204645   3.66508777   1.9245312   8.04237834   8.12876939   7.1077790
## 409  -7.79935345 -19.86299349   0.5506914  -9.33952258 -12.78056045   0.6242620
## 410  -7.79935345 -19.86299349   0.5506914  -9.33952258 -12.78056045   0.6242620
## 411  -7.79935345 -19.86299349   0.5506914  -9.33952258 -12.78056045   0.6242620
## 412  -7.79935345 -19.86299349   0.5506914  -9.33952258 -12.78056045   0.6242620
## 413  -7.79935345 -19.86299349   0.5506914  -9.33952258 -12.78056045   0.6242620
## 414  -7.79935345 -19.86299349   0.5506914  -9.33952258 -12.78056045   0.6242620
## 415  -7.79935345 -19.86299349   0.5506914  -9.33952258 -12.78056045   0.6242620
## 416  -7.79935345 -19.86299349   0.5506914  -9.33952258 -12.78056045   0.6242620
## 417 -14.51296563  21.51184146  -3.7340540   9.02497886  -2.60726482   9.9837583
## 418 -14.51296563  21.51184146  -3.7340540   9.02497886  -2.60726482   9.9837583
## 419 -14.51296563  21.51184146  -3.7340540   9.02497886  -2.60726482   9.9837583
## 420 -14.51296563  21.51184146  -3.7340540   9.02497886  -2.60726482   9.9837583
## 421 -14.51296563  21.51184146  -3.7340540   9.02497886  -2.60726482   9.9837583
## 422 -14.51296563  21.51184146  -3.7340540   9.02497886  -2.60726482   9.9837583
## 423 -14.51296563  21.51184146  -3.7340540   9.02497886  -2.60726482   9.9837583
## 424 -14.51296563  21.51184146  -3.7340540   9.02497886  -2.60726482   9.9837583
## 425   3.28682691   6.63076443 -12.3329561 -12.25135079  -1.69166644   2.8795560
## 426   3.28682691   6.63076443 -12.3329561 -12.25135079  -1.69166644   2.8795560
## 427   3.28682691   6.63076443 -12.3329561 -12.25135079  -1.69166644   2.8795560
## 428   3.28682691   6.63076443 -12.3329561 -12.25135079  -1.69166644   2.8795560
## 429   3.28682691   6.63076443 -12.3329561 -12.25135079  -1.69166644   2.8795560
## 430   3.28682691   6.63076443 -12.3329561 -12.25135079  -1.69166644   2.8795560
## 431   3.28682691   6.63076443 -12.3329561 -12.25135079  -1.69166644   2.8795560
## 432   3.28682691   6.63076443 -12.3329561 -12.25135079  -1.69166644   2.8795560
## 433  13.03335745 -25.05560722 -15.6222443   5.24730205  30.50802783  42.3486394
## 434  13.03335745 -25.05560722 -15.6222443   5.24730205  30.50802783  42.3486394
## 435  13.03335745 -25.05560722 -15.6222443   5.24730205  30.50802783  42.3486394
## 436  13.03335745 -25.05560722 -15.6222443   5.24730205  30.50802783  42.3486394
## 437  13.03335745 -25.05560722 -15.6222443   5.24730205  30.50802783  42.3486394
## 438  13.03335745 -25.05560722 -15.6222443   5.24730205  30.50802783  42.3486394
## 439  13.03335745 -25.05560722 -15.6222443   5.24730205  30.50802783  42.3486394
## 440  13.03335745 -25.05560722 -15.6222443   5.24730205  30.50802783  42.3486394
## 441   2.81564778   1.32033278  -1.5062471  -2.07004275   0.65222459   1.0399735
## 442   2.81564778   1.32033278  -1.5062471  -2.07004275   0.65222459   1.0399735
## 443   2.81564778   1.32033278  -1.5062471  -2.07004275   0.65222459   1.0399735
## 444   2.81564778   1.32033278  -1.5062471  -2.07004275   0.65222459   1.0399735
## 445   2.81564778   1.32033278  -1.5062471  -2.07004275   0.65222459   1.0399735
## 446   2.81564778   1.32033278  -1.5062471  -2.07004275   0.65222459   1.0399735
## 447   2.81564778   1.32033278  -1.5062471  -2.07004275   0.65222459   1.0399735
## 448   2.81564778   1.32033278  -1.5062471  -2.07004275   0.65222459   1.0399735
## 449   5.25846795  14.12356192 -24.8231020   3.12684969  22.34823019  -4.7450313
## 450   5.25846795  14.12356192 -24.8231020   3.12684969  22.34823019  -4.7450313
## 451   5.25846795  14.12356192 -24.8231020   3.12684969  22.34823019  -4.7450313
## 452   5.25846795  14.12356192 -24.8231020   3.12684969  22.34823019  -4.7450313
## 453   5.25846795  14.12356192 -24.8231020   3.12684969  22.34823019  -4.7450313
## 454   5.25846795  14.12356192 -24.8231020   3.12684969  22.34823019  -4.7450313
## 455   5.25846795  14.12356192 -24.8231020   3.12684969  22.34823019  -4.7450313
## 456   5.25846795  14.12356192 -24.8231020   3.12684969  22.34823019  -4.7450313
## 457   5.82254781  -7.87437981  11.1366854  -8.38431877  65.75362085 -30.4793356
## 458   5.82254781  -7.87437981  11.1366854  -8.38431877  65.75362085 -30.4793356
## 459   5.82254781  -7.87437981  11.1366854  -8.38431877  65.75362085 -30.4793356
## 460   5.82254781  -7.87437981  11.1366854  -8.38431877  65.75362085 -30.4793356
## 461   5.82254781  -7.87437981  11.1366854  -8.38431877  65.75362085 -30.4793356
## 462   5.82254781  -7.87437981  11.1366854  -8.38431877  65.75362085 -30.4793356
## 463   5.82254781  -7.87437981  11.1366854  -8.38431877  65.75362085 -30.4793356
## 464   5.82254781  -7.87437981  11.1366854  -8.38431877  65.75362085 -30.4793356
## 465  -6.63658479   1.85652122   0.3062127   5.74760483   4.40596318   1.4094637
## 466  -6.63658479   1.85652122   0.3062127   5.74760483   4.40596318   1.4094637
## 467  -6.63658479   1.85652122   0.3062127   5.74760483   4.40596318   1.4094637
## 468  -6.63658479   1.85652122   0.3062127   5.74760483   4.40596318   1.4094637
## 469  -6.63658479   1.85652122   0.3062127   5.74760483   4.40596318   1.4094637
## 470  -6.63658479   1.85652122   0.3062127   5.74760483   4.40596318   1.4094637
## 471  -6.63658479   1.85652122   0.3062127   5.74760483   4.40596318   1.4094637
## 472  -6.63658479   1.85652122   0.3062127   5.74760483   4.40596318   1.4094637
## 473   0.63950222  -2.26864081   2.0128387  -0.37600854   1.95458379   9.1164216
## 474   0.63950222  -2.26864081   2.0128387  -0.37600854   1.95458379   9.1164216
## 475   0.63950222  -2.26864081   2.0128387  -0.37600854   1.95458379   9.1164216
## 476   0.63950222  -2.26864081   2.0128387  -0.37600854   1.95458379   9.1164216
## 477   0.63950222  -2.26864081   2.0128387  -0.37600854   1.95458379   9.1164216
## 478   0.63950222  -2.26864081   2.0128387  -0.37600854   1.95458379   9.1164216
## 479   0.63950222  -2.26864081   2.0128387  -0.37600854   1.95458379   9.1164216
## 480   0.63950222  -2.26864081   2.0128387  -0.37600854   1.95458379   9.1164216
## 481  -0.16862350  -6.38090789   1.9347646  -2.07130711  -0.41702662   1.1690738
## 482  -0.16862350  -6.38090789   1.9347646  -2.07130711  -0.41702662   1.1690738
## 483  -0.16862350  -6.38090789   1.9347646  -2.07130711  -0.41702662   1.1690738
## 484  -0.16862350  -6.38090789   1.9347646  -2.07130711  -0.41702662   1.1690738
## 485  -0.16862350  -6.38090789   1.9347646  -2.07130711  -0.41702662   1.1690738
## 486  -0.16862350  -6.38090789   1.9347646  -2.07130711  -0.41702662   1.1690738
## 487  -0.16862350  -6.38090789   1.9347646  -2.07130711  -0.41702662   1.1690738
## 488  -0.16862350  -6.38090789   1.9347646  -2.07130711  -0.41702662   1.1690738
## 489   3.04536429   1.06117259   1.4333836   3.93745248  -0.91491679   6.3213077
## 490   3.04536429   1.06117259   1.4333836   3.93745248  -0.91491679   6.3213077
## 491   3.04536429   1.06117259   1.4333836   3.93745248  -0.91491679   6.3213077
## 492   3.04536429   1.06117259   1.4333836   3.93745248  -0.91491679   6.3213077
## 493   3.04536429   1.06117259   1.4333836   3.93745248  -0.91491679   6.3213077
## 494   3.04536429   1.06117259   1.4333836   3.93745248  -0.91491679   6.3213077
## 495   3.04536429   1.06117259   1.4333836   3.93745248  -0.91491679   6.3213077
## 496   3.04536429   1.06117259   1.4333836   3.93745248  -0.91491679   6.3213077
## 497   8.05661939  -4.08777880  -2.0614610   0.48138987 -11.43759101   7.8931581
## 498   8.05661939  -4.08777880  -2.0614610   0.48138987 -11.43759101   7.8931581
## 499   8.05661939  -4.08777880  -2.0614610   0.48138987 -11.43759101   7.8931581
## 500   8.05661939  -4.08777880  -2.0614610   0.48138987 -11.43759101   7.8931581
## 501   8.05661939  -4.08777880  -2.0614610   0.48138987 -11.43759101   7.8931581
## 502   8.05661939  -4.08777880  -2.0614610   0.48138987 -11.43759101   7.8931581
## 503   8.05661939  -4.08777880  -2.0614610   0.48138987 -11.43759101   7.8931581
## 504   8.05661939  -4.08777880  -2.0614610   0.48138987 -11.43759101   7.8931581
## 505   4.22814788  -0.24575004  -0.2733441   0.19570513  -6.60780356  -4.0249052
## 506   4.22814788  -0.24575004  -0.2733441   0.19570513  -6.60780356  -4.0249052
## 507   4.22814788  -0.24575004  -0.2733441   0.19570513  -6.60780356  -4.0249052
## 508   4.22814788  -0.24575004  -0.2733441   0.19570513  -6.60780356  -4.0249052
## 509   4.22814788  -0.24575004  -0.2733441   0.19570513  -6.60780356  -4.0249052
## 510   4.22814788  -0.24575004  -0.2733441   0.19570513  -6.60780356  -4.0249052
## 511   4.22814788  -0.24575004  -0.2733441   0.19570513  -6.60780356  -4.0249052
## 512   4.22814788  -0.24575004  -0.2733441   0.19570513  -6.60780356  -4.0249052
## 513   0.79954401  -4.46560126  13.0527782   1.83157970   6.53644864  -2.9998816
## 514   0.79954401  -4.46560126  13.0527782   1.83157970   6.53644864  -2.9998816
## 515   0.79954401  -4.46560126  13.0527782   1.83157970   6.53644864  -2.9998816
## 516   0.79954401  -4.46560126  13.0527782   1.83157970   6.53644864  -2.9998816
## 517   0.79954401  -4.46560126  13.0527782   1.83157970   6.53644864  -2.9998816
## 518   0.79954401  -4.46560126  13.0527782   1.83157970   6.53644864  -2.9998816
## 519   0.79954401  -4.46560126  13.0527782   1.83157970   6.53644864  -2.9998816
## 520   0.79954401  -4.46560126  13.0527782   1.83157970   6.53644864  -2.9998816
## 521  28.90114025   0.60827613   5.7878602   9.17007524   8.45956096  13.0026801
## 522  28.90114025   0.60827613   5.7878602   9.17007524   8.45956096  13.0026801
## 523  28.90114025   0.60827613   5.7878602   9.17007524   8.45956096  13.0026801
## 524  28.90114025   0.60827613   5.7878602   9.17007524   8.45956096  13.0026801
## 525  28.90114025   0.60827613   5.7878602   9.17007524   8.45956096  13.0026801
## 526  28.90114025   0.60827613   5.7878602   9.17007524   8.45956096  13.0026801
## 527  28.90114025   0.60827613   5.7878602   9.17007524   8.45956096  13.0026801
## 528  28.90114025   0.60827613   5.7878602   9.17007524   8.45956096  13.0026801
## 529  -5.12219306   6.14221897   1.6757504  -5.10630821   2.06635794  -3.0277854
## 530  -5.12219306   6.14221897   1.6757504  -5.10630821   2.06635794  -3.0277854
## 531  -5.12219306   6.14221897   1.6757504  -5.10630821   2.06635794  -3.0277854
## 532  -5.12219306   6.14221897   1.6757504  -5.10630821   2.06635794  -3.0277854
## 533  -5.12219306   6.14221897   1.6757504  -5.10630821   2.06635794  -3.0277854
## 534  -5.12219306   6.14221897   1.6757504  -5.10630821   2.06635794  -3.0277854
## 535  -5.12219306   6.14221897   1.6757504  -5.10630821   2.06635794  -3.0277854
## 536  -5.12219306   6.14221897   1.6757504  -5.10630821   2.06635794  -3.0277854
## 537   4.82518024  -5.89515376   5.8551347  16.87437516 -16.45095710 -22.2620873
## 538   4.82518024  -5.89515376   5.8551347  16.87437516 -16.45095710 -22.2620873
## 539   4.82518024  -5.89515376   5.8551347  16.87437516 -16.45095710 -22.2620873
## 540   4.82518024  -5.89515376   5.8551347  16.87437516 -16.45095710 -22.2620873
## 541   4.82518024  -5.89515376   5.8551347  16.87437516 -16.45095710 -22.2620873
## 542   4.82518024  -5.89515376   5.8551347  16.87437516 -16.45095710 -22.2620873
## 543   4.82518024  -5.89515376   5.8551347  16.87437516 -16.45095710 -22.2620873
## 544   4.82518024  -5.89515376   5.8551347  16.87437516 -16.45095710 -22.2620873
## 545   2.21606510  -0.62956904   1.3935711   8.26427457  -0.83908442  -6.3074251
## 546   2.21606510  -0.62956904   1.3935711   8.26427457  -0.83908442  -6.3074251
## 547   2.21606510  -0.62956904   1.3935711   8.26427457  -0.83908442  -6.3074251
## 548   2.21606510  -0.62956904   1.3935711   8.26427457  -0.83908442  -6.3074251
## 549   2.21606510  -0.62956904   1.3935711   8.26427457  -0.83908442  -6.3074251
## 550   2.21606510  -0.62956904   1.3935711   8.26427457  -0.83908442  -6.3074251
## 551   2.21606510  -0.62956904   1.3935711   8.26427457  -0.83908442  -6.3074251
## 552   2.21606510  -0.62956904   1.3935711   8.26427457  -0.83908442  -6.3074251
## 553   2.74624866  -1.00036212  -2.2495497  -3.81094399   3.67129002 -11.9428977
## 554   2.74624866  -1.00036212  -2.2495497  -3.81094399   3.67129002 -11.9428977
## 555   2.74624866  -1.00036212  -2.2495497  -3.81094399   3.67129002 -11.9428977
## 556   2.74624866  -1.00036212  -2.2495497  -3.81094399   3.67129002 -11.9428977
## 557   2.74624866  -1.00036212  -2.2495497  -3.81094399   3.67129002 -11.9428977
## 558   2.74624866  -1.00036212  -2.2495497  -3.81094399   3.67129002 -11.9428977
## 559   2.74624866  -1.00036212  -2.2495497  -3.81094399   3.67129002 -11.9428977
## 560   2.74624866  -1.00036212  -2.2495497  -3.81094399   3.67129002 -11.9428977
## 561  20.97888137  42.63226101 -32.7543819 -52.15024747  -4.33213587 -20.8347343
## 562  20.97888137  42.63226101 -32.7543819 -52.15024747  -4.33213587 -20.8347343
## 563  20.97888137  42.63226101 -32.7543819 -52.15024747  -4.33213587 -20.8347343
## 564  20.97888137  42.63226101 -32.7543819 -52.15024747  -4.33213587 -20.8347343
## 565  20.97888137  42.63226101 -32.7543819 -52.15024747  -4.33213587 -20.8347343
## 566  20.97888137  42.63226101 -32.7543819 -52.15024747  -4.33213587 -20.8347343
## 567  20.97888137  42.63226101 -32.7543819 -52.15024747  -4.33213587 -20.8347343
## 568  20.97888137  42.63226101 -32.7543819 -52.15024747  -4.33213587 -20.8347343
## 569   1.00037433  -6.88851660  -2.6691312   3.57949907   2.34841953   6.3692002
## 570   1.00037433  -6.88851660  -2.6691312   3.57949907   2.34841953   6.3692002
## 571   1.00037433  -6.88851660  -2.6691312   3.57949907   2.34841953   6.3692002
## 572   1.00037433  -6.88851660  -2.6691312   3.57949907   2.34841953   6.3692002
## 573   1.00037433  -6.88851660  -2.6691312   3.57949907   2.34841953   6.3692002
## 574   1.00037433  -6.88851660  -2.6691312   3.57949907   2.34841953   6.3692002
## 575   1.00037433  -6.88851660  -2.6691312   3.57949907   2.34841953   6.3692002
## 576   1.00037433  -6.88851660  -2.6691312   3.57949907   2.34841953   6.3692002
## 577 -13.57320518  -4.87882121  -1.7703360  51.73617896  -6.58341182  -4.6220765
## 578 -13.57320518  -4.87882121  -1.7703360  51.73617896  -6.58341182  -4.6220765
## 579 -13.57320518  -4.87882121  -1.7703360  51.73617896  -6.58341182  -4.6220765
## 580 -13.57320518  -4.87882121  -1.7703360  51.73617896  -6.58341182  -4.6220765
## 581 -13.57320518  -4.87882121  -1.7703360  51.73617896  -6.58341182  -4.6220765
## 582 -13.57320518  -4.87882121  -1.7703360  51.73617896  -6.58341182  -4.6220765
## 583 -13.57320518  -4.87882121  -1.7703360  51.73617896  -6.58341182  -4.6220765
## 584 -13.57320518  -4.87882121  -1.7703360  51.73617896  -6.58341182  -4.6220765
## 585  -3.37782155  -4.45217525   0.7609456   0.46820142  -1.34435487  -4.4077973
## 586  -3.37782155  -4.45217525   0.7609456   0.46820142  -1.34435487  -4.4077973
## 587  -3.37782155  -4.45217525   0.7609456   0.46820142  -1.34435487  -4.4077973
## 588  -3.37782155  -4.45217525   0.7609456   0.46820142  -1.34435487  -4.4077973
## 589  -3.37782155  -4.45217525   0.7609456   0.46820142  -1.34435487  -4.4077973
## 590  -3.37782155  -4.45217525   0.7609456   0.46820142  -1.34435487  -4.4077973
## 591  -3.37782155  -4.45217525   0.7609456   0.46820142  -1.34435487  -4.4077973
## 592  -3.37782155  -4.45217525   0.7609456   0.46820142  -1.34435487  -4.4077973
## 593   3.21442202   5.24508412   0.9282075   0.42430676  -2.35952650  -0.4639137
## 594   3.21442202   5.24508412   0.9282075   0.42430676  -2.35952650  -0.4639137
## 595   3.21442202   5.24508412   0.9282075   0.42430676  -2.35952650  -0.4639137
## 596   3.21442202   5.24508412   0.9282075   0.42430676  -2.35952650  -0.4639137
## 597   3.21442202   5.24508412   0.9282075   0.42430676  -2.35952650  -0.4639137
## 598   3.21442202   5.24508412   0.9282075   0.42430676  -2.35952650  -0.4639137
## 599   3.21442202   5.24508412   0.9282075   0.42430676  -2.35952650  -0.4639137
## 600   3.21442202   5.24508412   0.9282075   0.42430676  -2.35952650  -0.4639137
## 601 -14.40808979  -0.06959140   1.1340649   6.10408769 -21.03521017  -8.6492938
## 602 -14.40808979  -0.06959140   1.1340649   6.10408769 -21.03521017  -8.6492938
## 603 -14.40808979  -0.06959140   1.1340649   6.10408769 -21.03521017  -8.6492938
## 604 -14.40808979  -0.06959140   1.1340649   6.10408769 -21.03521017  -8.6492938
## 605 -14.40808979  -0.06959140   1.1340649   6.10408769 -21.03521017  -8.6492938
## 606 -14.40808979  -0.06959140   1.1340649   6.10408769 -21.03521017  -8.6492938
## 607 -14.40808979  -0.06959140   1.1340649   6.10408769 -21.03521017  -8.6492938
## 608 -14.40808979  -0.06959140   1.1340649   6.10408769 -21.03521017  -8.6492938
## 609   2.99444461  -5.32804970  -4.9237628  -1.27495502  -6.68058781  11.3427876
## 610   2.99444461  -5.32804970  -4.9237628  -1.27495502  -6.68058781  11.3427876
## 611   2.99444461  -5.32804970  -4.9237628  -1.27495502  -6.68058781  11.3427876
## 612   2.99444461  -5.32804970  -4.9237628  -1.27495502  -6.68058781  11.3427876
## 613   2.99444461  -5.32804970  -4.9237628  -1.27495502  -6.68058781  11.3427876
## 614   2.99444461  -5.32804970  -4.9237628  -1.27495502  -6.68058781  11.3427876
## 615   2.99444461  -5.32804970  -4.9237628  -1.27495502  -6.68058781  11.3427876
## 616   2.99444461  -5.32804970  -4.9237628  -1.27495502  -6.68058781  11.3427876
## 617  30.19093336  19.66877266   5.1114280  14.45199444 -10.43530610 -15.1953047
## 618  30.19093336  19.66877266   5.1114280  14.45199444 -10.43530610 -15.1953047
## 619  30.19093336  19.66877266   5.1114280  14.45199444 -10.43530610 -15.1953047
## 620  30.19093336  19.66877266   5.1114280  14.45199444 -10.43530610 -15.1953047
## 621  30.19093336  19.66877266   5.1114280  14.45199444 -10.43530610 -15.1953047
## 622  30.19093336  19.66877266   5.1114280  14.45199444 -10.43530610 -15.1953047
## 623  30.19093336  19.66877266   5.1114280  14.45199444 -10.43530610 -15.1953047
## 624  30.19093336  19.66877266   5.1114280  14.45199444 -10.43530610 -15.1953047
## 625  51.60661907  24.32416929   3.3038658   9.23859582  15.53346807   9.8423373
## 626  51.60661907  24.32416929   3.3038658   9.23859582  15.53346807   9.8423373
## 627  51.60661907  24.32416929   3.3038658   9.23859582  15.53346807   9.8423373
## 628  51.60661907  24.32416929   3.3038658   9.23859582  15.53346807   9.8423373
## 629  51.60661907  24.32416929   3.3038658   9.23859582  15.53346807   9.8423373
## 630  51.60661907  24.32416929   3.3038658   9.23859582  15.53346807   9.8423373
## 631  51.60661907  24.32416929   3.3038658   9.23859582  15.53346807   9.8423373
## 632  51.60661907  24.32416929   3.3038658   9.23859582  15.53346807   9.8423373
## 633  10.09990164  -8.52201008  -4.1296415  -0.52568786  20.77041575  -2.1244649
## 634  10.09990164  -8.52201008  -4.1296415  -0.52568786  20.77041575  -2.1244649
## 635  10.09990164  -8.52201008  -4.1296415  -0.52568786  20.77041575  -2.1244649
## 636  10.09990164  -8.52201008  -4.1296415  -0.52568786  20.77041575  -2.1244649
## 637  10.09990164  -8.52201008  -4.1296415  -0.52568786  20.77041575  -2.1244649
## 638  10.09990164  -8.52201008  -4.1296415  -0.52568786  20.77041575  -2.1244649
## 639  10.09990164  -8.52201008  -4.1296415  -0.52568786  20.77041575  -2.1244649
## 640  10.09990164  -8.52201008  -4.1296415  -0.52568786  20.77041575  -2.1244649
## 641   1.41747460   3.38932426   4.1338079   0.12061365  -5.36082594   3.3347639
## 642   1.41747460   3.38932426   4.1338079   0.12061365  -5.36082594   3.3347639
## 643   1.41747460   3.38932426   4.1338079   0.12061365  -5.36082594   3.3347639
## 644   1.41747460   3.38932426   4.1338079   0.12061365  -5.36082594   3.3347639
## 645   1.41747460   3.38932426   4.1338079   0.12061365  -5.36082594   3.3347639
## 646   1.41747460   3.38932426   4.1338079   0.12061365  -5.36082594   3.3347639
## 647   1.41747460   3.38932426   4.1338079   0.12061365  -5.36082594   3.3347639
## 648   1.41747460   3.38932426   4.1338079   0.12061365  -5.36082594   3.3347639
## 649 -34.79394583 -10.42340651  18.5206714 -35.17900475 -28.46523563  15.2950936
## 650 -34.79394583 -10.42340651  18.5206714 -35.17900475 -28.46523563  15.2950936
## 651 -34.79394583 -10.42340651  18.5206714 -35.17900475 -28.46523563  15.2950936
## 652 -34.79394583 -10.42340651  18.5206714 -35.17900475 -28.46523563  15.2950936
## 653 -34.79394583 -10.42340651  18.5206714 -35.17900475 -28.46523563  15.2950936
## 654 -34.79394583 -10.42340651  18.5206714 -35.17900475 -28.46523563  15.2950936
## 655 -34.79394583 -10.42340651  18.5206714 -35.17900475 -28.46523563  15.2950936
## 656 -34.79394583 -10.42340651  18.5206714 -35.17900475 -28.46523563  15.2950936
## 657  -7.73930052  -4.41906468  -8.1312857  -7.84898469   7.39280168   0.7704984
## 658  -7.73930052  -4.41906468  -8.1312857  -7.84898469   7.39280168   0.7704984
## 659  -7.73930052  -4.41906468  -8.1312857  -7.84898469   7.39280168   0.7704984
## 660  -7.73930052  -4.41906468  -8.1312857  -7.84898469   7.39280168   0.7704984
## 661  -7.73930052  -4.41906468  -8.1312857  -7.84898469   7.39280168   0.7704984
## 662  -7.73930052  -4.41906468  -8.1312857  -7.84898469   7.39280168   0.7704984
## 663  -7.73930052  -4.41906468  -8.1312857  -7.84898469   7.39280168   0.7704984
## 664  -7.73930052  -4.41906468  -8.1312857  -7.84898469   7.39280168   0.7704984
## 665   2.68576899  -1.54446389   3.6381243  -1.86793873   2.45365935   2.9286106
## 666   2.68576899  -1.54446389   3.6381243  -1.86793873   2.45365935   2.9286106
## 667   2.68576899  -1.54446389   3.6381243  -1.86793873   2.45365935   2.9286106
## 668   2.68576899  -1.54446389   3.6381243  -1.86793873   2.45365935   2.9286106
## 669   2.68576899  -1.54446389   3.6381243  -1.86793873   2.45365935   2.9286106
## 670   2.68576899  -1.54446389   3.6381243  -1.86793873   2.45365935   2.9286106
## 671   2.68576899  -1.54446389   3.6381243  -1.86793873   2.45365935   2.9286106
## 672   2.68576899  -1.54446389   3.6381243  -1.86793873   2.45365935   2.9286106
## 673   2.02327885  -0.29616754   2.6594260  -4.90737513   6.11315048 -18.6246135
## 674   2.02327885  -0.29616754   2.6594260  -4.90737513   6.11315048 -18.6246135
## 675   2.02327885  -0.29616754   2.6594260  -4.90737513   6.11315048 -18.6246135
## 676   2.02327885  -0.29616754   2.6594260  -4.90737513   6.11315048 -18.6246135
## 677   2.02327885  -0.29616754   2.6594260  -4.90737513   6.11315048 -18.6246135
## 678   2.02327885  -0.29616754   2.6594260  -4.90737513   6.11315048 -18.6246135
## 679   2.02327885  -0.29616754   2.6594260  -4.90737513   6.11315048 -18.6246135
## 680   2.02327885  -0.29616754   2.6594260  -4.90737513   6.11315048 -18.6246135
## 681  -3.16458753  -1.31795186   1.7574196  -1.26746775  12.35643632   0.3614908
## 682  -3.16458753  -1.31795186   1.7574196  -1.26746775  12.35643632   0.3614908
## 683  -3.16458753  -1.31795186   1.7574196  -1.26746775  12.35643632   0.3614908
## 684  -3.16458753  -1.31795186   1.7574196  -1.26746775  12.35643632   0.3614908
## 685  -3.16458753  -1.31795186   1.7574196  -1.26746775  12.35643632   0.3614908
## 686  -3.16458753  -1.31795186   1.7574196  -1.26746775  12.35643632   0.3614908
## 687  -3.16458753  -1.31795186   1.7574196  -1.26746775  12.35643632   0.3614908
## 688  -3.16458753  -1.31795186   1.7574196  -1.26746775  12.35643632   0.3614908
## 689  -2.86923716  -0.09860047  -4.0830801   0.52201433  -0.63829246   0.8445716
## 690  -2.86923716  -0.09860047  -4.0830801   0.52201433  -0.63829246   0.8445716
## 691  -2.86923716  -0.09860047  -4.0830801   0.52201433  -0.63829246   0.8445716
## 692  -2.86923716  -0.09860047  -4.0830801   0.52201433  -0.63829246   0.8445716
## 693  -2.86923716  -0.09860047  -4.0830801   0.52201433  -0.63829246   0.8445716
## 694  -2.86923716  -0.09860047  -4.0830801   0.52201433  -0.63829246   0.8445716
## 695  -2.86923716  -0.09860047  -4.0830801   0.52201433  -0.63829246   0.8445716
## 696  -2.86923716  -0.09860047  -4.0830801   0.52201433  -0.63829246   0.8445716
## 697   1.21482647   1.28085372   6.1968907  -0.76310851  -1.70944131   3.5966563
## 698   1.21482647   1.28085372   6.1968907  -0.76310851  -1.70944131   3.5966563
## 699   1.21482647   1.28085372   6.1968907  -0.76310851  -1.70944131   3.5966563
## 700   1.21482647   1.28085372   6.1968907  -0.76310851  -1.70944131   3.5966563
## 701   1.21482647   1.28085372   6.1968907  -0.76310851  -1.70944131   3.5966563
## 702   1.21482647   1.28085372   6.1968907  -0.76310851  -1.70944131   3.5966563
## 703   1.21482647   1.28085372   6.1968907  -0.76310851  -1.70944131   3.5966563
## 704   1.21482647   1.28085372   6.1968907  -0.76310851  -1.70944131   3.5966563
## 705  -1.31307382   6.00309870  -0.1571245   6.95430662  -0.85872812   2.9421268
## 706  -1.31307382   6.00309870  -0.1571245   6.95430662  -0.85872812   2.9421268
## 707  -1.31307382   6.00309870  -0.1571245   6.95430662  -0.85872812   2.9421268
## 708  -1.31307382   6.00309870  -0.1571245   6.95430662  -0.85872812   2.9421268
## 709  -1.31307382   6.00309870  -0.1571245   6.95430662  -0.85872812   2.9421268
## 710  -1.31307382   6.00309870  -0.1571245   6.95430662  -0.85872812   2.9421268
## 711  -1.31307382   6.00309870  -0.1571245   6.95430662  -0.85872812   2.9421268
## 712  -1.31307382   6.00309870  -0.1571245   6.95430662  -0.85872812   2.9421268
## 713  -8.81401701 -11.39861108 -16.0290175  16.38937994   3.06997634  17.2634526
## 714  -8.81401701 -11.39861108 -16.0290175  16.38937994   3.06997634  17.2634526
## 715  -8.81401701 -11.39861108 -16.0290175  16.38937994   3.06997634  17.2634526
## 716  -8.81401701 -11.39861108 -16.0290175  16.38937994   3.06997634  17.2634526
## 717  -8.81401701 -11.39861108 -16.0290175  16.38937994   3.06997634  17.2634526
## 718  -8.81401701 -11.39861108 -16.0290175  16.38937994   3.06997634  17.2634526
## 719  -8.81401701 -11.39861108 -16.0290175  16.38937994   3.06997634  17.2634526
## 720  -8.81401701 -11.39861108 -16.0290175  16.38937994   3.06997634  17.2634526
## 721 -20.06762709  35.19412980  -4.3026551  17.50967219 -13.60513465 -26.3528106
## 722 -20.06762709  35.19412980  -4.3026551  17.50967219 -13.60513465 -26.3528106
## 723 -20.06762709  35.19412980  -4.3026551  17.50967219 -13.60513465 -26.3528106
## 724 -20.06762709  35.19412980  -4.3026551  17.50967219 -13.60513465 -26.3528106
## 725 -20.06762709  35.19412980  -4.3026551  17.50967219 -13.60513465 -26.3528106
## 726 -20.06762709  35.19412980  -4.3026551  17.50967219 -13.60513465 -26.3528106
## 727 -20.06762709  35.19412980  -4.3026551  17.50967219 -13.60513465 -26.3528106
## 728 -20.06762709  35.19412980  -4.3026551  17.50967219 -13.60513465 -26.3528106
## 729   2.34673382  -2.92431938   3.0967285   0.68570585   0.08390661   1.0064685
## 730   2.34673382  -2.92431938   3.0967285   0.68570585   0.08390661   1.0064685
## 731   2.34673382  -2.92431938   3.0967285   0.68570585   0.08390661   1.0064685
## 732   2.34673382  -2.92431938   3.0967285   0.68570585   0.08390661   1.0064685
## 733   2.34673382  -2.92431938   3.0967285   0.68570585   0.08390661   1.0064685
## 734   2.34673382  -2.92431938   3.0967285   0.68570585   0.08390661   1.0064685
## 735   2.34673382  -2.92431938   3.0967285   0.68570585   0.08390661   1.0064685
## 736   2.34673382  -2.92431938   3.0967285   0.68570585   0.08390661   1.0064685
## 737   1.21309180 -26.52750482  -4.5946331 -26.63956691 -23.24962374   9.6246851
## 738   1.21309180 -26.52750482  -4.5946331 -26.63956691 -23.24962374   9.6246851
## 739   1.21309180 -26.52750482  -4.5946331 -26.63956691 -23.24962374   9.6246851
## 740   1.21309180 -26.52750482  -4.5946331 -26.63956691 -23.24962374   9.6246851
## 741   1.21309180 -26.52750482  -4.5946331 -26.63956691 -23.24962374   9.6246851
## 742   1.21309180 -26.52750482  -4.5946331 -26.63956691 -23.24962374   9.6246851
## 743   1.21309180 -26.52750482  -4.5946331 -26.63956691 -23.24962374   9.6246851
## 744   1.21309180 -26.52750482  -4.5946331 -26.63956691 -23.24962374   9.6246851
## 745   0.50381224  -1.78581664  20.4263680 -30.58265877 -14.34494411   7.8173741
## 746   0.50381224  -1.78581664  20.4263680 -30.58265877 -14.34494411   7.8173741
## 747   0.50381224  -1.78581664  20.4263680 -30.58265877 -14.34494411   7.8173741
## 748   0.50381224  -1.78581664  20.4263680 -30.58265877 -14.34494411   7.8173741
## 749   0.50381224  -1.78581664  20.4263680 -30.58265877 -14.34494411   7.8173741
## 750   0.50381224  -1.78581664  20.4263680 -30.58265877 -14.34494411   7.8173741
## 751   0.50381224  -1.78581664  20.4263680 -30.58265877 -14.34494411   7.8173741
## 752   0.50381224  -1.78581664  20.4263680 -30.58265877 -14.34494411   7.8173741
## 753  -0.81099693  24.82390803 -16.4725348  25.89370228 -34.82056690   4.0254212
## 754  -0.81099693  24.82390803 -16.4725348  25.89370228 -34.82056690   4.0254212
## 755  -0.81099693  24.82390803 -16.4725348  25.89370228 -34.82056690   4.0254212
## 756  -0.81099693  24.82390803 -16.4725348  25.89370228 -34.82056690   4.0254212
## 757  -0.81099693  24.82390803 -16.4725348  25.89370228 -34.82056690   4.0254212
## 758  -0.81099693  24.82390803 -16.4725348  25.89370228 -34.82056690   4.0254212
## 759  -0.81099693  24.82390803 -16.4725348  25.89370228 -34.82056690   4.0254212
## 760  -0.81099693  24.82390803 -16.4725348  25.89370228 -34.82056690   4.0254212
## 761  56.81888307 -36.53953342  14.8794886   8.89280461 -15.47197267   8.6872496
## 762  56.81888307 -36.53953342  14.8794886   8.89280461 -15.47197267   8.6872496
## 763  56.81888307 -36.53953342  14.8794886   8.89280461 -15.47197267   8.6872496
## 764  56.81888307 -36.53953342  14.8794886   8.89280461 -15.47197267   8.6872496
## 765  56.81888307 -36.53953342  14.8794886   8.89280461 -15.47197267   8.6872496
## 766  56.81888307 -36.53953342  14.8794886   8.89280461 -15.47197267   8.6872496
## 767  56.81888307 -36.53953342  14.8794886   8.89280461 -15.47197267   8.6872496
## 768  56.81888307 -36.53953342  14.8794886   8.89280461 -15.47197267   8.6872496
## 769  -3.73319833  -3.65316151 -14.6881227 -11.48077515  -9.82779265   4.6808539
## 770  -3.73319833  -3.65316151 -14.6881227 -11.48077515  -9.82779265   4.6808539
## 771  -3.73319833  -3.65316151 -14.6881227 -11.48077515  -9.82779265   4.6808539
## 772  -3.73319833  -3.65316151 -14.6881227 -11.48077515  -9.82779265   4.6808539
## 773  -3.73319833  -3.65316151 -14.6881227 -11.48077515  -9.82779265   4.6808539
## 774  -3.73319833  -3.65316151 -14.6881227 -11.48077515  -9.82779265   4.6808539
## 775  -3.73319833  -3.65316151 -14.6881227 -11.48077515  -9.82779265   4.6808539
## 776  -3.73319833  -3.65316151 -14.6881227 -11.48077515  -9.82779265   4.6808539
## 777   7.23351461   0.78902486  -0.2809908 -17.80629172   4.26371222   1.2654419
## 778   7.23351461   0.78902486  -0.2809908 -17.80629172   4.26371222   1.2654419
## 779   7.23351461   0.78902486  -0.2809908 -17.80629172   4.26371222   1.2654419
## 780   7.23351461   0.78902486  -0.2809908 -17.80629172   4.26371222   1.2654419
## 781   7.23351461   0.78902486  -0.2809908 -17.80629172   4.26371222   1.2654419
## 782   7.23351461   0.78902486  -0.2809908 -17.80629172   4.26371222   1.2654419
## 783   7.23351461   0.78902486  -0.2809908 -17.80629172   4.26371222   1.2654419
## 784   7.23351461   0.78902486  -0.2809908 -17.80629172   4.26371222   1.2654419
## 785  -5.44119134  -0.62608614  -2.5447481  -0.51435333   1.57001798   2.4648959
## 786  -5.44119134  -0.62608614  -2.5447481  -0.51435333   1.57001798   2.4648959
## 787  -5.44119134  -0.62608614  -2.5447481  -0.51435333   1.57001798   2.4648959
## 788  -5.44119134  -0.62608614  -2.5447481  -0.51435333   1.57001798   2.4648959
## 789  -5.44119134  -0.62608614  -2.5447481  -0.51435333   1.57001798   2.4648959
## 790  -5.44119134  -0.62608614  -2.5447481  -0.51435333   1.57001798   2.4648959
## 791  -5.44119134  -0.62608614  -2.5447481  -0.51435333   1.57001798   2.4648959
## 792  -5.44119134  -0.62608614  -2.5447481  -0.51435333   1.57001798   2.4648959
## 793   4.99092131  -4.19372856  -1.1661307  -5.92527300  -3.11290060  -4.6669629
## 794   4.99092131  -4.19372856  -1.1661307  -5.92527300  -3.11290060  -4.6669629
## 795   4.99092131  -4.19372856  -1.1661307  -5.92527300  -3.11290060  -4.6669629
## 796   4.99092131  -4.19372856  -1.1661307  -5.92527300  -3.11290060  -4.6669629
## 797   4.99092131  -4.19372856  -1.1661307  -5.92527300  -3.11290060  -4.6669629
## 798   4.99092131  -4.19372856  -1.1661307  -5.92527300  -3.11290060  -4.6669629
## 799   4.99092131  -4.19372856  -1.1661307  -5.92527300  -3.11290060  -4.6669629
##       PC75_score    PC76_score  PC77_score  PC78_score  PC79_score   PC80_score
## 1    16.43885996   0.212185197  24.9710078   2.8148912 -13.2502599  -3.93343122
## 2    16.43885996   0.212185197  24.9710078   2.8148912 -13.2502599  -3.93343122
## 3    16.43885996   0.212185197  24.9710078   2.8148912 -13.2502599  -3.93343122
## 4    16.43885996   0.212185197  24.9710078   2.8148912 -13.2502599  -3.93343122
## 5    16.43885996   0.212185197  24.9710078   2.8148912 -13.2502599  -3.93343122
## 6    16.43885996   0.212185197  24.9710078   2.8148912 -13.2502599  -3.93343122
## 7    16.43885996   0.212185197  24.9710078   2.8148912 -13.2502599  -3.93343122
## 8    16.43885996   0.212185197  24.9710078   2.8148912 -13.2502599  -3.93343122
## 9     1.52814085   2.049787372   4.6199823   4.0394298   1.9515211  -4.56161731
## 10    1.52814085   2.049787372   4.6199823   4.0394298   1.9515211  -4.56161731
## 11    1.52814085   2.049787372   4.6199823   4.0394298   1.9515211  -4.56161731
## 12    1.52814085   2.049787372   4.6199823   4.0394298   1.9515211  -4.56161731
## 13    1.52814085   2.049787372   4.6199823   4.0394298   1.9515211  -4.56161731
## 14    1.52814085   2.049787372   4.6199823   4.0394298   1.9515211  -4.56161731
## 15    1.52814085   2.049787372   4.6199823   4.0394298   1.9515211  -4.56161731
## 16    1.52814085   2.049787372   4.6199823   4.0394298   1.9515211  -4.56161731
## 17    0.58932568   1.530143604  -1.3167166   3.0908395   0.5619257   4.98457521
## 18    0.58932568   1.530143604  -1.3167166   3.0908395   0.5619257   4.98457521
## 19    0.58932568   1.530143604  -1.3167166   3.0908395   0.5619257   4.98457521
## 20    0.58932568   1.530143604  -1.3167166   3.0908395   0.5619257   4.98457521
## 21    0.58932568   1.530143604  -1.3167166   3.0908395   0.5619257   4.98457521
## 22    0.58932568   1.530143604  -1.3167166   3.0908395   0.5619257   4.98457521
## 23    0.58932568   1.530143604  -1.3167166   3.0908395   0.5619257   4.98457521
## 24    0.58932568   1.530143604  -1.3167166   3.0908395   0.5619257   4.98457521
## 25   -5.41472194  -6.662016663  -3.1295433   2.0098265 -16.9361649   2.28550718
## 26   -5.41472194  -6.662016663  -3.1295433   2.0098265 -16.9361649   2.28550718
## 27   -5.41472194  -6.662016663  -3.1295433   2.0098265 -16.9361649   2.28550718
## 28   -5.41472194  -6.662016663  -3.1295433   2.0098265 -16.9361649   2.28550718
## 29   -5.41472194  -6.662016663  -3.1295433   2.0098265 -16.9361649   2.28550718
## 30   -5.41472194  -6.662016663  -3.1295433   2.0098265 -16.9361649   2.28550718
## 31   -5.41472194  -6.662016663  -3.1295433   2.0098265 -16.9361649   2.28550718
## 32   -5.41472194  -6.662016663  -3.1295433   2.0098265 -16.9361649   2.28550718
## 33  -34.53430365  11.188262526  -6.6863195 -20.8889012  14.1540424  -5.79565151
## 34  -34.53430365  11.188262526  -6.6863195 -20.8889012  14.1540424  -5.79565151
## 35  -34.53430365  11.188262526  -6.6863195 -20.8889012  14.1540424  -5.79565151
## 36  -34.53430365  11.188262526  -6.6863195 -20.8889012  14.1540424  -5.79565151
## 37  -34.53430365  11.188262526  -6.6863195 -20.8889012  14.1540424  -5.79565151
## 38  -34.53430365  11.188262526  -6.6863195 -20.8889012  14.1540424  -5.79565151
## 39  -34.53430365  11.188262526  -6.6863195 -20.8889012  14.1540424  -5.79565151
## 40  -34.53430365  11.188262526  -6.6863195 -20.8889012  14.1540424  -5.79565151
## 41   -6.73857533 -10.982782203  -1.3951856 -11.5082118  14.1226000   0.68138043
## 42   -6.73857533 -10.982782203  -1.3951856 -11.5082118  14.1226000   0.68138043
## 43   -6.73857533 -10.982782203  -1.3951856 -11.5082118  14.1226000   0.68138043
## 44   -6.73857533 -10.982782203  -1.3951856 -11.5082118  14.1226000   0.68138043
## 45   -6.73857533 -10.982782203  -1.3951856 -11.5082118  14.1226000   0.68138043
## 46   -6.73857533 -10.982782203  -1.3951856 -11.5082118  14.1226000   0.68138043
## 47   -6.73857533 -10.982782203  -1.3951856 -11.5082118  14.1226000   0.68138043
## 48   -6.73857533 -10.982782203  -1.3951856 -11.5082118  14.1226000   0.68138043
## 49   -1.86390757  -2.353747009   0.1396719   6.0928760   1.5920581   1.84376515
## 50   -1.86390757  -2.353747009   0.1396719   6.0928760   1.5920581   1.84376515
## 51   -1.86390757  -2.353747009   0.1396719   6.0928760   1.5920581   1.84376515
## 52   -1.86390757  -2.353747009   0.1396719   6.0928760   1.5920581   1.84376515
## 53   -1.86390757  -2.353747009   0.1396719   6.0928760   1.5920581   1.84376515
## 54   -1.86390757  -2.353747009   0.1396719   6.0928760   1.5920581   1.84376515
## 55   -1.86390757  -2.353747009   0.1396719   6.0928760   1.5920581   1.84376515
## 56   -1.86390757  -2.353747009   0.1396719   6.0928760   1.5920581   1.84376515
## 57   11.31553834  -5.458445166  -8.1513694   1.9139962  -7.7038414  -2.18079909
## 58   11.31553834  -5.458445166  -8.1513694   1.9139962  -7.7038414  -2.18079909
## 59   11.31553834  -5.458445166  -8.1513694   1.9139962  -7.7038414  -2.18079909
## 60   11.31553834  -5.458445166  -8.1513694   1.9139962  -7.7038414  -2.18079909
## 61   11.31553834  -5.458445166  -8.1513694   1.9139962  -7.7038414  -2.18079909
## 62   11.31553834  -5.458445166  -8.1513694   1.9139962  -7.7038414  -2.18079909
## 63   11.31553834  -5.458445166  -8.1513694   1.9139962  -7.7038414  -2.18079909
## 64   11.31553834  -5.458445166  -8.1513694   1.9139962  -7.7038414  -2.18079909
## 65   15.80437463  -1.635154237   1.8195796   9.3300783   0.1955170   3.72013773
## 66   15.80437463  -1.635154237   1.8195796   9.3300783   0.1955170   3.72013773
## 67   15.80437463  -1.635154237   1.8195796   9.3300783   0.1955170   3.72013773
## 68   15.80437463  -1.635154237   1.8195796   9.3300783   0.1955170   3.72013773
## 69   15.80437463  -1.635154237   1.8195796   9.3300783   0.1955170   3.72013773
## 70   15.80437463  -1.635154237   1.8195796   9.3300783   0.1955170   3.72013773
## 71   15.80437463  -1.635154237   1.8195796   9.3300783   0.1955170   3.72013773
## 72   15.80437463  -1.635154237   1.8195796   9.3300783   0.1955170   3.72013773
## 73    1.90406296   6.192191062  -9.0124832 -16.3787110  11.8466471  -4.55109058
## 74    1.90406296   6.192191062  -9.0124832 -16.3787110  11.8466471  -4.55109058
## 75    1.90406296   6.192191062  -9.0124832 -16.3787110  11.8466471  -4.55109058
## 76    1.90406296   6.192191062  -9.0124832 -16.3787110  11.8466471  -4.55109058
## 77    1.90406296   6.192191062  -9.0124832 -16.3787110  11.8466471  -4.55109058
## 78    1.90406296   6.192191062  -9.0124832 -16.3787110  11.8466471  -4.55109058
## 79    1.90406296   6.192191062  -9.0124832 -16.3787110  11.8466471  -4.55109058
## 80    1.90406296   6.192191062  -9.0124832 -16.3787110  11.8466471  -4.55109058
## 81  -30.45085626   2.706934140   3.0510015  -8.4072330  23.6706147   1.68687660
## 82  -30.45085626   2.706934140   3.0510015  -8.4072330  23.6706147   1.68687660
## 83  -30.45085626   2.706934140   3.0510015  -8.4072330  23.6706147   1.68687660
## 84  -30.45085626   2.706934140   3.0510015  -8.4072330  23.6706147   1.68687660
## 85  -30.45085626   2.706934140   3.0510015  -8.4072330  23.6706147   1.68687660
## 86  -30.45085626   2.706934140   3.0510015  -8.4072330  23.6706147   1.68687660
## 87  -30.45085626   2.706934140   3.0510015  -8.4072330  23.6706147   1.68687660
## 88  -30.45085626   2.706934140   3.0510015  -8.4072330  23.6706147   1.68687660
## 89    5.62621355  -0.347559663   0.4544031   8.0549107  -5.4920708  -7.75678686
## 90    5.62621355  -0.347559663   0.4544031   8.0549107  -5.4920708  -7.75678686
## 91    5.62621355  -0.347559663   0.4544031   8.0549107  -5.4920708  -7.75678686
## 92    5.62621355  -0.347559663   0.4544031   8.0549107  -5.4920708  -7.75678686
## 93    5.62621355  -0.347559663   0.4544031   8.0549107  -5.4920708  -7.75678686
## 94    5.62621355  -0.347559663   0.4544031   8.0549107  -5.4920708  -7.75678686
## 95    5.62621355  -0.347559663   0.4544031   8.0549107  -5.4920708  -7.75678686
## 96    5.62621355  -0.347559663   0.4544031   8.0549107  -5.4920708  -7.75678686
## 97   -7.21437476  -0.206043932  -0.1197790   2.0626068  -8.8912856   3.43465034
## 98   -7.21437476  -0.206043932  -0.1197790   2.0626068  -8.8912856   3.43465034
## 99   -7.21437476  -0.206043932  -0.1197790   2.0626068  -8.8912856   3.43465034
## 100  -7.21437476  -0.206043932  -0.1197790   2.0626068  -8.8912856   3.43465034
## 101  -7.21437476  -0.206043932  -0.1197790   2.0626068  -8.8912856   3.43465034
## 102  -7.21437476  -0.206043932  -0.1197790   2.0626068  -8.8912856   3.43465034
## 103  -7.21437476  -0.206043932  -0.1197790   2.0626068  -8.8912856   3.43465034
## 104  -7.21437476  -0.206043932  -0.1197790   2.0626068  -8.8912856   3.43465034
## 105  15.84440637  -9.495973551   8.4168406   9.7314941  -8.3788640  -5.54111853
## 106  15.84440637  -9.495973551   8.4168406   9.7314941  -8.3788640  -5.54111853
## 107  15.84440637  -9.495973551   8.4168406   9.7314941  -8.3788640  -5.54111853
## 108  15.84440637  -9.495973551   8.4168406   9.7314941  -8.3788640  -5.54111853
## 109  15.84440637  -9.495973551   8.4168406   9.7314941  -8.3788640  -5.54111853
## 110  15.84440637  -9.495973551   8.4168406   9.7314941  -8.3788640  -5.54111853
## 111  15.84440637  -9.495973551   8.4168406   9.7314941  -8.3788640  -5.54111853
## 112  15.84440637  -9.495973551   8.4168406   9.7314941  -8.3788640  -5.54111853
## 113   2.11016015  -0.599552285  -0.4372927  -0.7612805  -1.9245092  -3.68723837
## 114   2.11016015  -0.599552285  -0.4372927  -0.7612805  -1.9245092  -3.68723837
## 115   2.11016015  -0.599552285  -0.4372927  -0.7612805  -1.9245092  -3.68723837
## 116   2.11016015  -0.599552285  -0.4372927  -0.7612805  -1.9245092  -3.68723837
## 117   2.11016015  -0.599552285  -0.4372927  -0.7612805  -1.9245092  -3.68723837
## 118   2.11016015  -0.599552285  -0.4372927  -0.7612805  -1.9245092  -3.68723837
## 119   2.11016015  -0.599552285  -0.4372927  -0.7612805  -1.9245092  -3.68723837
## 120   2.11016015  -0.599552285  -0.4372927  -0.7612805  -1.9245092  -3.68723837
## 121  10.61096510   1.325306199  12.6752793  -7.3338151  -8.8644129   8.38156975
## 122  10.61096510   1.325306199  12.6752793  -7.3338151  -8.8644129   8.38156975
## 123  10.61096510   1.325306199  12.6752793  -7.3338151  -8.8644129   8.38156975
## 124  10.61096510   1.325306199  12.6752793  -7.3338151  -8.8644129   8.38156975
## 125  10.61096510   1.325306199  12.6752793  -7.3338151  -8.8644129   8.38156975
## 126  10.61096510   1.325306199  12.6752793  -7.3338151  -8.8644129   8.38156975
## 127  10.61096510   1.325306199  12.6752793  -7.3338151  -8.8644129   8.38156975
## 128  10.61096510   1.325306199  12.6752793  -7.3338151  -8.8644129   8.38156975
## 129 -10.86439162 -17.323212165  -6.8720757   9.9367363   2.9481058   8.32970154
## 130 -10.86439162 -17.323212165  -6.8720757   9.9367363   2.9481058   8.32970154
## 131 -10.86439162 -17.323212165  -6.8720757   9.9367363   2.9481058   8.32970154
## 132 -10.86439162 -17.323212165  -6.8720757   9.9367363   2.9481058   8.32970154
## 133 -10.86439162 -17.323212165  -6.8720757   9.9367363   2.9481058   8.32970154
## 134 -10.86439162 -17.323212165  -6.8720757   9.9367363   2.9481058   8.32970154
## 135 -10.86439162 -17.323212165  -6.8720757   9.9367363   2.9481058   8.32970154
## 136 -10.86439162 -17.323212165  -6.8720757   9.9367363   2.9481058   8.32970154
## 137   0.27449000  -0.002494105   3.7113855  -0.7156272   0.2960514   2.47591673
## 138   0.27449000  -0.002494105   3.7113855  -0.7156272   0.2960514   2.47591673
## 139   0.27449000  -0.002494105   3.7113855  -0.7156272   0.2960514   2.47591673
## 140   0.27449000  -0.002494105   3.7113855  -0.7156272   0.2960514   2.47591673
## 141   0.27449000  -0.002494105   3.7113855  -0.7156272   0.2960514   2.47591673
## 142   0.27449000  -0.002494105   3.7113855  -0.7156272   0.2960514   2.47591673
## 143   0.27449000  -0.002494105   3.7113855  -0.7156272   0.2960514   2.47591673
## 144   0.27449000  -0.002494105   3.7113855  -0.7156272   0.2960514   2.47591673
## 145  -2.23763043   2.806375783   5.6156999  -8.8650340  11.2934429  -2.84315932
## 146  -2.23763043   2.806375783   5.6156999  -8.8650340  11.2934429  -2.84315932
## 147  -2.23763043   2.806375783   5.6156999  -8.8650340  11.2934429  -2.84315932
## 148  -2.23763043   2.806375783   5.6156999  -8.8650340  11.2934429  -2.84315932
## 149  -2.23763043   2.806375783   5.6156999  -8.8650340  11.2934429  -2.84315932
## 150  -2.23763043   2.806375783   5.6156999  -8.8650340  11.2934429  -2.84315932
## 151  -2.23763043   2.806375783   5.6156999  -8.8650340  11.2934429  -2.84315932
## 152  -2.23763043   2.806375783   5.6156999  -8.8650340  11.2934429  -2.84315932
## 153   3.03311297   1.030385951   3.9820113  -2.6376711   1.6865664  -0.21796348
## 154   3.03311297   1.030385951   3.9820113  -2.6376711   1.6865664  -0.21796348
## 155   3.03311297   1.030385951   3.9820113  -2.6376711   1.6865664  -0.21796348
## 156   3.03311297   1.030385951   3.9820113  -2.6376711   1.6865664  -0.21796348
## 157   3.03311297   1.030385951   3.9820113  -2.6376711   1.6865664  -0.21796348
## 158   3.03311297   1.030385951   3.9820113  -2.6376711   1.6865664  -0.21796348
## 159   3.03311297   1.030385951   3.9820113  -2.6376711   1.6865664  -0.21796348
## 160   3.03311297   1.030385951   3.9820113  -2.6376711   1.6865664  -0.21796348
## 161 -33.02754043  -1.995380393 -16.8800807  11.2346091  16.2960684  14.75922383
## 162 -33.02754043  -1.995380393 -16.8800807  11.2346091  16.2960684  14.75922383
## 163 -33.02754043  -1.995380393 -16.8800807  11.2346091  16.2960684  14.75922383
## 164 -33.02754043  -1.995380393 -16.8800807  11.2346091  16.2960684  14.75922383
## 165 -33.02754043  -1.995380393 -16.8800807  11.2346091  16.2960684  14.75922383
## 166 -33.02754043  -1.995380393 -16.8800807  11.2346091  16.2960684  14.75922383
## 167 -33.02754043  -1.995380393 -16.8800807  11.2346091  16.2960684  14.75922383
## 168 -33.02754043  -1.995380393 -16.8800807  11.2346091  16.2960684  14.75922383
## 169   1.19390385  -1.082221578  -0.8701935   3.7400385   2.4566478  -7.88689218
## 170   1.19390385  -1.082221578  -0.8701935   3.7400385   2.4566478  -7.88689218
## 171   1.19390385  -1.082221578  -0.8701935   3.7400385   2.4566478  -7.88689218
## 172   1.19390385  -1.082221578  -0.8701935   3.7400385   2.4566478  -7.88689218
## 173   1.19390385  -1.082221578  -0.8701935   3.7400385   2.4566478  -7.88689218
## 174   1.19390385  -1.082221578  -0.8701935   3.7400385   2.4566478  -7.88689218
## 175   1.19390385  -1.082221578  -0.8701935   3.7400385   2.4566478  -7.88689218
## 176   1.19390385  -1.082221578  -0.8701935   3.7400385   2.4566478  -7.88689218
## 177   0.85916883  -5.660904320   5.8975819   7.4143399   2.8904921   5.60058081
## 178   0.85916883  -5.660904320   5.8975819   7.4143399   2.8904921   5.60058081
## 179   0.85916883  -5.660904320   5.8975819   7.4143399   2.8904921   5.60058081
## 180   0.85916883  -5.660904320   5.8975819   7.4143399   2.8904921   5.60058081
## 181   0.85916883  -5.660904320   5.8975819   7.4143399   2.8904921   5.60058081
## 182   0.85916883  -5.660904320   5.8975819   7.4143399   2.8904921   5.60058081
## 183   0.85916883  -5.660904320   5.8975819   7.4143399   2.8904921   5.60058081
## 184   0.85916883  -5.660904320   5.8975819   7.4143399   2.8904921   5.60058081
## 185  -1.43919287   3.530990797  -0.8340101   0.6554741   1.9155803  -2.90005156
## 186  -1.43919287   3.530990797  -0.8340101   0.6554741   1.9155803  -2.90005156
## 187  -1.43919287   3.530990797  -0.8340101   0.6554741   1.9155803  -2.90005156
## 188  -1.43919287   3.530990797  -0.8340101   0.6554741   1.9155803  -2.90005156
## 189  -1.43919287   3.530990797  -0.8340101   0.6554741   1.9155803  -2.90005156
## 190  -1.43919287   3.530990797  -0.8340101   0.6554741   1.9155803  -2.90005156
## 191  -1.43919287   3.530990797  -0.8340101   0.6554741   1.9155803  -2.90005156
## 192  -1.43919287   3.530990797  -0.8340101   0.6554741   1.9155803  -2.90005156
## 193   8.69046168  22.013970330   1.4167476 -20.6010773  13.0541976 -11.28642092
## 194   8.69046168  22.013970330   1.4167476 -20.6010773  13.0541976 -11.28642092
## 195   8.69046168  22.013970330   1.4167476 -20.6010773  13.0541976 -11.28642092
## 196   8.69046168  22.013970330   1.4167476 -20.6010773  13.0541976 -11.28642092
## 197   8.69046168  22.013970330   1.4167476 -20.6010773  13.0541976 -11.28642092
## 198   8.69046168  22.013970330   1.4167476 -20.6010773  13.0541976 -11.28642092
## 199   8.69046168  22.013970330   1.4167476 -20.6010773  13.0541976 -11.28642092
## 200   8.69046168  22.013970330   1.4167476 -20.6010773  13.0541976 -11.28642092
## 201  -1.48342957  -3.067015599   5.7969554   3.8312426  -3.1257364   3.57825111
## 202  -1.48342957  -3.067015599   5.7969554   3.8312426  -3.1257364   3.57825111
## 203  -1.48342957  -3.067015599   5.7969554   3.8312426  -3.1257364   3.57825111
## 204  -1.48342957  -3.067015599   5.7969554   3.8312426  -3.1257364   3.57825111
## 205  -1.48342957  -3.067015599   5.7969554   3.8312426  -3.1257364   3.57825111
## 206  -1.48342957  -3.067015599   5.7969554   3.8312426  -3.1257364   3.57825111
## 207  -1.48342957  -3.067015599   5.7969554   3.8312426  -3.1257364   3.57825111
## 208  -1.48342957  -3.067015599   5.7969554   3.8312426  -3.1257364   3.57825111
## 209   5.33948393  -2.663389941   1.3150821  -2.4380090  -2.4702397   1.65331505
## 210   5.33948393  -2.663389941   1.3150821  -2.4380090  -2.4702397   1.65331505
## 211   5.33948393  -2.663389941   1.3150821  -2.4380090  -2.4702397   1.65331505
## 212   5.33948393  -2.663389941   1.3150821  -2.4380090  -2.4702397   1.65331505
## 213   5.33948393  -2.663389941   1.3150821  -2.4380090  -2.4702397   1.65331505
## 214   5.33948393  -2.663389941   1.3150821  -2.4380090  -2.4702397   1.65331505
## 215   5.33948393  -2.663389941   1.3150821  -2.4380090  -2.4702397   1.65331505
## 216   5.33948393  -2.663389941   1.3150821  -2.4380090  -2.4702397   1.65331505
## 217  -0.11663255  -0.066521023  -1.1216738  -0.2287766  -0.3073082  -1.50049471
## 218  -0.11663255  -0.066521023  -1.1216738  -0.2287766  -0.3073082  -1.50049471
## 219  -0.11663255  -0.066521023  -1.1216738  -0.2287766  -0.3073082  -1.50049471
## 220  -0.11663255  -0.066521023  -1.1216738  -0.2287766  -0.3073082  -1.50049471
## 221  -0.11663255  -0.066521023  -1.1216738  -0.2287766  -0.3073082  -1.50049471
## 222  -0.11663255  -0.066521023  -1.1216738  -0.2287766  -0.3073082  -1.50049471
## 223  -0.11663255  -0.066521023  -1.1216738  -0.2287766  -0.3073082  -1.50049471
## 224  -0.11663255  -0.066521023  -1.1216738  -0.2287766  -0.3073082  -1.50049471
## 225  -3.37574154   4.535835511   1.5672499  -5.0646996  -4.6034650   1.37237431
## 226  -3.37574154   4.535835511   1.5672499  -5.0646996  -4.6034650   1.37237431
## 227  -3.37574154   4.535835511   1.5672499  -5.0646996  -4.6034650   1.37237431
## 228  -3.37574154   4.535835511   1.5672499  -5.0646996  -4.6034650   1.37237431
## 229  -3.37574154   4.535835511   1.5672499  -5.0646996  -4.6034650   1.37237431
## 230  -3.37574154   4.535835511   1.5672499  -5.0646996  -4.6034650   1.37237431
## 231  -3.37574154   4.535835511   1.5672499  -5.0646996  -4.6034650   1.37237431
## 232  -3.37574154   4.535835511   1.5672499  -5.0646996  -4.6034650   1.37237431
## 233  -3.45967130  -0.221114535  -6.7453413  -5.2330754  -6.1842226  -0.43711796
## 234  -3.45967130  -0.221114535  -6.7453413  -5.2330754  -6.1842226  -0.43711796
## 235  -3.45967130  -0.221114535  -6.7453413  -5.2330754  -6.1842226  -0.43711796
## 236  -3.45967130  -0.221114535  -6.7453413  -5.2330754  -6.1842226  -0.43711796
## 237  -3.45967130  -0.221114535  -6.7453413  -5.2330754  -6.1842226  -0.43711796
## 238  -3.45967130  -0.221114535  -6.7453413  -5.2330754  -6.1842226  -0.43711796
## 239  -3.45967130  -0.221114535  -6.7453413  -5.2330754  -6.1842226  -0.43711796
## 240  -3.45967130  -0.221114535  -6.7453413  -5.2330754  -6.1842226  -0.43711796
## 241 -13.77849021 -14.174635966   1.9148718 -18.9353366 -21.6046601   3.82518923
## 242 -13.77849021 -14.174635966   1.9148718 -18.9353366 -21.6046601   3.82518923
## 243 -13.77849021 -14.174635966   1.9148718 -18.9353366 -21.6046601   3.82518923
## 244 -13.77849021 -14.174635966   1.9148718 -18.9353366 -21.6046601   3.82518923
## 245 -13.77849021 -14.174635966   1.9148718 -18.9353366 -21.6046601   3.82518923
## 246 -13.77849021 -14.174635966   1.9148718 -18.9353366 -21.6046601   3.82518923
## 247 -13.77849021 -14.174635966   1.9148718 -18.9353366 -21.6046601   3.82518923
## 248 -13.77849021 -14.174635966   1.9148718 -18.9353366 -21.6046601   3.82518923
## 249  27.97651975  37.967769053   4.3415362   3.7178998 -24.8398224  27.21820837
## 250  27.97651975  37.967769053   4.3415362   3.7178998 -24.8398224  27.21820837
## 251  27.97651975  37.967769053   4.3415362   3.7178998 -24.8398224  27.21820837
## 252  27.97651975  37.967769053   4.3415362   3.7178998 -24.8398224  27.21820837
## 253  27.97651975  37.967769053   4.3415362   3.7178998 -24.8398224  27.21820837
## 254  27.97651975  37.967769053   4.3415362   3.7178998 -24.8398224  27.21820837
## 255  27.97651975  37.967769053   4.3415362   3.7178998 -24.8398224  27.21820837
## 256  27.97651975  37.967769053   4.3415362   3.7178998 -24.8398224  27.21820837
## 257 -16.51479473  -1.570364614   0.1422218  -1.9728548   9.5246332   2.31164403
## 258 -16.51479473  -1.570364614   0.1422218  -1.9728548   9.5246332   2.31164403
## 259 -16.51479473  -1.570364614   0.1422218  -1.9728548   9.5246332   2.31164403
## 260 -16.51479473  -1.570364614   0.1422218  -1.9728548   9.5246332   2.31164403
## 261 -16.51479473  -1.570364614   0.1422218  -1.9728548   9.5246332   2.31164403
## 262 -16.51479473  -1.570364614   0.1422218  -1.9728548   9.5246332   2.31164403
## 263 -16.51479473  -1.570364614   0.1422218  -1.9728548   9.5246332   2.31164403
## 264 -16.51479473  -1.570364614   0.1422218  -1.9728548   9.5246332   2.31164403
## 265   6.70065796  -1.543422792  -4.7320100  -2.2407417  -4.2720446   0.03981954
## 266   6.70065796  -1.543422792  -4.7320100  -2.2407417  -4.2720446   0.03981954
## 267   6.70065796  -1.543422792  -4.7320100  -2.2407417  -4.2720446   0.03981954
## 268   6.70065796  -1.543422792  -4.7320100  -2.2407417  -4.2720446   0.03981954
## 269   6.70065796  -1.543422792  -4.7320100  -2.2407417  -4.2720446   0.03981954
## 270   6.70065796  -1.543422792  -4.7320100  -2.2407417  -4.2720446   0.03981954
## 271   6.70065796  -1.543422792  -4.7320100  -2.2407417  -4.2720446   0.03981954
## 272   6.70065796  -1.543422792  -4.7320100  -2.2407417  -4.2720446   0.03981954
## 273  -5.04396766   2.980062877   1.0032229  -4.0733604   0.8384428  11.65037593
## 274  -5.04396766   2.980062877   1.0032229  -4.0733604   0.8384428  11.65037593
## 275  -5.04396766   2.980062877   1.0032229  -4.0733604   0.8384428  11.65037593
## 276  -5.04396766   2.980062877   1.0032229  -4.0733604   0.8384428  11.65037593
## 277  -5.04396766   2.980062877   1.0032229  -4.0733604   0.8384428  11.65037593
## 278  -5.04396766   2.980062877   1.0032229  -4.0733604   0.8384428  11.65037593
## 279  -5.04396766   2.980062877   1.0032229  -4.0733604   0.8384428  11.65037593
## 280  -5.04396766   2.980062877   1.0032229  -4.0733604   0.8384428  11.65037593
## 281   0.76891220  -0.868622123  11.2313363  -0.8207676  -0.7189409  -6.98173268
## 282   0.76891220  -0.868622123  11.2313363  -0.8207676  -0.7189409  -6.98173268
## 283   0.76891220  -0.868622123  11.2313363  -0.8207676  -0.7189409  -6.98173268
## 284   0.76891220  -0.868622123  11.2313363  -0.8207676  -0.7189409  -6.98173268
## 285   0.76891220  -0.868622123  11.2313363  -0.8207676  -0.7189409  -6.98173268
## 286   0.76891220  -0.868622123  11.2313363  -0.8207676  -0.7189409  -6.98173268
## 287   0.76891220  -0.868622123  11.2313363  -0.8207676  -0.7189409  -6.98173268
## 288   0.76891220  -0.868622123  11.2313363  -0.8207676  -0.7189409  -6.98173268
## 289  26.36835068  27.262860131   1.6843466 -14.3950713  65.4610085 -13.95774359
## 290  26.36835068  27.262860131   1.6843466 -14.3950713  65.4610085 -13.95774359
## 291  26.36835068  27.262860131   1.6843466 -14.3950713  65.4610085 -13.95774359
## 292  26.36835068  27.262860131   1.6843466 -14.3950713  65.4610085 -13.95774359
## 293  26.36835068  27.262860131   1.6843466 -14.3950713  65.4610085 -13.95774359
## 294  26.36835068  27.262860131   1.6843466 -14.3950713  65.4610085 -13.95774359
## 295  26.36835068  27.262860131   1.6843466 -14.3950713  65.4610085 -13.95774359
## 296  26.36835068  27.262860131   1.6843466 -14.3950713  65.4610085 -13.95774359
## 297   2.16559235   2.134502115  -6.9866807 -13.5185264  -7.2611336  16.70534497
## 298   2.16559235   2.134502115  -6.9866807 -13.5185264  -7.2611336  16.70534497
## 299   2.16559235   2.134502115  -6.9866807 -13.5185264  -7.2611336  16.70534497
## 300   2.16559235   2.134502115  -6.9866807 -13.5185264  -7.2611336  16.70534497
## 301   2.16559235   2.134502115  -6.9866807 -13.5185264  -7.2611336  16.70534497
## 302   2.16559235   2.134502115  -6.9866807 -13.5185264  -7.2611336  16.70534497
## 303   2.16559235   2.134502115  -6.9866807 -13.5185264  -7.2611336  16.70534497
## 304   2.16559235   2.134502115  -6.9866807 -13.5185264  -7.2611336  16.70534497
## 305  11.97006672  -3.853130107  -1.3082849  -0.5275603  -0.6715743   2.60154155
## 306  11.97006672  -3.853130107  -1.3082849  -0.5275603  -0.6715743   2.60154155
## 307  11.97006672  -3.853130107  -1.3082849  -0.5275603  -0.6715743   2.60154155
## 308  11.97006672  -3.853130107  -1.3082849  -0.5275603  -0.6715743   2.60154155
## 309  11.97006672  -3.853130107  -1.3082849  -0.5275603  -0.6715743   2.60154155
## 310  11.97006672  -3.853130107  -1.3082849  -0.5275603  -0.6715743   2.60154155
## 311  11.97006672  -3.853130107  -1.3082849  -0.5275603  -0.6715743   2.60154155
## 312  11.97006672  -3.853130107  -1.3082849  -0.5275603  -0.6715743   2.60154155
## 313   2.85913558  10.421141517  -2.8614038  -0.7341946  -4.0428148  -1.37923514
## 314   2.85913558  10.421141517  -2.8614038  -0.7341946  -4.0428148  -1.37923514
## 315   2.85913558  10.421141517  -2.8614038  -0.7341946  -4.0428148  -1.37923514
## 316   2.85913558  10.421141517  -2.8614038  -0.7341946  -4.0428148  -1.37923514
## 317   2.85913558  10.421141517  -2.8614038  -0.7341946  -4.0428148  -1.37923514
## 318   2.85913558  10.421141517  -2.8614038  -0.7341946  -4.0428148  -1.37923514
## 319   2.85913558  10.421141517  -2.8614038  -0.7341946  -4.0428148  -1.37923514
## 320   2.85913558  10.421141517  -2.8614038  -0.7341946  -4.0428148  -1.37923514
## 321   0.56192755  -2.670770421  -9.6588639   3.5945465 -11.1073730  -3.24293296
## 322   0.56192755  -2.670770421  -9.6588639   3.5945465 -11.1073730  -3.24293296
## 323   0.56192755  -2.670770421  -9.6588639   3.5945465 -11.1073730  -3.24293296
## 324   0.56192755  -2.670770421  -9.6588639   3.5945465 -11.1073730  -3.24293296
## 325   0.56192755  -2.670770421  -9.6588639   3.5945465 -11.1073730  -3.24293296
## 326   0.56192755  -2.670770421  -9.6588639   3.5945465 -11.1073730  -3.24293296
## 327   0.56192755  -2.670770421  -9.6588639   3.5945465 -11.1073730  -3.24293296
## 328   0.56192755  -2.670770421  -9.6588639   3.5945465 -11.1073730  -3.24293296
## 329  -5.29654888 -27.502306476  -6.6114606  -8.9416203   1.4071464  18.49091873
## 330  -5.29654888 -27.502306476  -6.6114606  -8.9416203   1.4071464  18.49091873
## 331  -5.29654888 -27.502306476  -6.6114606  -8.9416203   1.4071464  18.49091873
## 332  -5.29654888 -27.502306476  -6.6114606  -8.9416203   1.4071464  18.49091873
## 333  -5.29654888 -27.502306476  -6.6114606  -8.9416203   1.4071464  18.49091873
## 334  -5.29654888 -27.502306476  -6.6114606  -8.9416203   1.4071464  18.49091873
## 335  -5.29654888 -27.502306476  -6.6114606  -8.9416203   1.4071464  18.49091873
## 336  -5.29654888 -27.502306476  -6.6114606  -8.9416203   1.4071464  18.49091873
## 337   8.14980311  -6.683493690  -1.1937797  -0.6619518  -0.9471853   3.70935367
## 338   8.14980311  -6.683493690  -1.1937797  -0.6619518  -0.9471853   3.70935367
## 339   8.14980311  -6.683493690  -1.1937797  -0.6619518  -0.9471853   3.70935367
## 340   8.14980311  -6.683493690  -1.1937797  -0.6619518  -0.9471853   3.70935367
## 341   8.14980311  -6.683493690  -1.1937797  -0.6619518  -0.9471853   3.70935367
## 342   8.14980311  -6.683493690  -1.1937797  -0.6619518  -0.9471853   3.70935367
## 343   8.14980311  -6.683493690  -1.1937797  -0.6619518  -0.9471853   3.70935367
## 344   8.14980311  -6.683493690  -1.1937797  -0.6619518  -0.9471853   3.70935367
## 345  -2.85092898  -2.618813242  -0.4262539  -3.0634481  -2.5431120  -2.67548219
## 346  -2.85092898  -2.618813242  -0.4262539  -3.0634481  -2.5431120  -2.67548219
## 347  -2.85092898  -2.618813242  -0.4262539  -3.0634481  -2.5431120  -2.67548219
## 348  -2.85092898  -2.618813242  -0.4262539  -3.0634481  -2.5431120  -2.67548219
## 349  -2.85092898  -2.618813242  -0.4262539  -3.0634481  -2.5431120  -2.67548219
## 350  -2.85092898  -2.618813242  -0.4262539  -3.0634481  -2.5431120  -2.67548219
## 351  -2.85092898  -2.618813242  -0.4262539  -3.0634481  -2.5431120  -2.67548219
## 352  -2.85092898  -2.618813242  -0.4262539  -3.0634481  -2.5431120  -2.67548219
## 353 -18.06788738  49.956238025 -24.3280746  26.9547298  17.7651694  20.35030922
## 354 -18.06788738  49.956238025 -24.3280746  26.9547298  17.7651694  20.35030922
## 355 -18.06788738  49.956238025 -24.3280746  26.9547298  17.7651694  20.35030922
## 356 -18.06788738  49.956238025 -24.3280746  26.9547298  17.7651694  20.35030922
## 357 -18.06788738  49.956238025 -24.3280746  26.9547298  17.7651694  20.35030922
## 358 -18.06788738  49.956238025 -24.3280746  26.9547298  17.7651694  20.35030922
## 359 -18.06788738  49.956238025 -24.3280746  26.9547298  17.7651694  20.35030922
## 360 -18.06788738  49.956238025 -24.3280746  26.9547298  17.7651694  20.35030922
## 361  -0.32717734   0.415509621   1.4810304   1.8586014   0.3256243   2.68663003
## 362  -0.32717734   0.415509621   1.4810304   1.8586014   0.3256243   2.68663003
## 363  -0.32717734   0.415509621   1.4810304   1.8586014   0.3256243   2.68663003
## 364  -0.32717734   0.415509621   1.4810304   1.8586014   0.3256243   2.68663003
## 365  -0.32717734   0.415509621   1.4810304   1.8586014   0.3256243   2.68663003
## 366  -0.32717734   0.415509621   1.4810304   1.8586014   0.3256243   2.68663003
## 367  -0.32717734   0.415509621   1.4810304   1.8586014   0.3256243   2.68663003
## 368  -0.32717734   0.415509621   1.4810304   1.8586014   0.3256243   2.68663003
## 369  -9.66869480 -26.778906144 -21.2724586 -14.5888861   0.4307489   5.18967349
## 370  -9.66869480 -26.778906144 -21.2724586 -14.5888861   0.4307489   5.18967349
## 371  -9.66869480 -26.778906144 -21.2724586 -14.5888861   0.4307489   5.18967349
## 372  -9.66869480 -26.778906144 -21.2724586 -14.5888861   0.4307489   5.18967349
## 373  -9.66869480 -26.778906144 -21.2724586 -14.5888861   0.4307489   5.18967349
## 374  -9.66869480 -26.778906144 -21.2724586 -14.5888861   0.4307489   5.18967349
## 375  -9.66869480 -26.778906144 -21.2724586 -14.5888861   0.4307489   5.18967349
## 376  -9.66869480 -26.778906144 -21.2724586 -14.5888861   0.4307489   5.18967349
## 377  30.36408722 -17.025299553  45.8669459 -36.6656304  -1.1119188 -30.98828435
## 378  30.36408722 -17.025299553  45.8669459 -36.6656304  -1.1119188 -30.98828435
## 379  30.36408722 -17.025299553  45.8669459 -36.6656304  -1.1119188 -30.98828435
## 380  30.36408722 -17.025299553  45.8669459 -36.6656304  -1.1119188 -30.98828435
## 381  30.36408722 -17.025299553  45.8669459 -36.6656304  -1.1119188 -30.98828435
## 382  30.36408722 -17.025299553  45.8669459 -36.6656304  -1.1119188 -30.98828435
## 383  30.36408722 -17.025299553  45.8669459 -36.6656304  -1.1119188 -30.98828435
## 384  30.36408722 -17.025299553  45.8669459 -36.6656304  -1.1119188 -30.98828435
## 385  -8.64763212  -8.893191015   0.5045334  11.0324983   0.3596831  -2.91903807
## 386  -8.64763212  -8.893191015   0.5045334  11.0324983   0.3596831  -2.91903807
## 387  -8.64763212  -8.893191015   0.5045334  11.0324983   0.3596831  -2.91903807
## 388  -8.64763212  -8.893191015   0.5045334  11.0324983   0.3596831  -2.91903807
## 389  -8.64763212  -8.893191015   0.5045334  11.0324983   0.3596831  -2.91903807
## 390  -8.64763212  -8.893191015   0.5045334  11.0324983   0.3596831  -2.91903807
## 391  -8.64763212  -8.893191015   0.5045334  11.0324983   0.3596831  -2.91903807
## 392  -8.64763212  -8.893191015   0.5045334  11.0324983   0.3596831  -2.91903807
## 393   5.47820943   2.742659705  -1.8107102   8.9164781  -4.2722410  -0.27094309
## 394   5.47820943   2.742659705  -1.8107102   8.9164781  -4.2722410  -0.27094309
## 395   5.47820943   2.742659705  -1.8107102   8.9164781  -4.2722410  -0.27094309
## 396   5.47820943   2.742659705  -1.8107102   8.9164781  -4.2722410  -0.27094309
## 397   5.47820943   2.742659705  -1.8107102   8.9164781  -4.2722410  -0.27094309
## 398   5.47820943   2.742659705  -1.8107102   8.9164781  -4.2722410  -0.27094309
## 399   5.47820943   2.742659705  -1.8107102   8.9164781  -4.2722410  -0.27094309
## 400   5.47820943   2.742659705  -1.8107102   8.9164781  -4.2722410  -0.27094309
## 401   2.01527227   3.743617949  -4.2129644   6.3956276  -0.9567496   0.68790823
## 402   2.01527227   3.743617949  -4.2129644   6.3956276  -0.9567496   0.68790823
## 403   2.01527227   3.743617949  -4.2129644   6.3956276  -0.9567496   0.68790823
## 404   2.01527227   3.743617949  -4.2129644   6.3956276  -0.9567496   0.68790823
## 405   2.01527227   3.743617949  -4.2129644   6.3956276  -0.9567496   0.68790823
## 406   2.01527227   3.743617949  -4.2129644   6.3956276  -0.9567496   0.68790823
## 407   2.01527227   3.743617949  -4.2129644   6.3956276  -0.9567496   0.68790823
## 408   2.01527227   3.743617949  -4.2129644   6.3956276  -0.9567496   0.68790823
## 409  13.28353508  -6.524574615  -3.6857094   9.3746366  11.1792464   1.26571101
## 410  13.28353508  -6.524574615  -3.6857094   9.3746366  11.1792464   1.26571101
## 411  13.28353508  -6.524574615  -3.6857094   9.3746366  11.1792464   1.26571101
## 412  13.28353508  -6.524574615  -3.6857094   9.3746366  11.1792464   1.26571101
## 413  13.28353508  -6.524574615  -3.6857094   9.3746366  11.1792464   1.26571101
## 414  13.28353508  -6.524574615  -3.6857094   9.3746366  11.1792464   1.26571101
## 415  13.28353508  -6.524574615  -3.6857094   9.3746366  11.1792464   1.26571101
## 416  13.28353508  -6.524574615  -3.6857094   9.3746366  11.1792464   1.26571101
## 417  -0.05824533  11.730833341   4.4550242  18.7936300 -19.9377591 -29.27119214
## 418  -0.05824533  11.730833341   4.4550242  18.7936300 -19.9377591 -29.27119214
## 419  -0.05824533  11.730833341   4.4550242  18.7936300 -19.9377591 -29.27119214
## 420  -0.05824533  11.730833341   4.4550242  18.7936300 -19.9377591 -29.27119214
## 421  -0.05824533  11.730833341   4.4550242  18.7936300 -19.9377591 -29.27119214
## 422  -0.05824533  11.730833341   4.4550242  18.7936300 -19.9377591 -29.27119214
## 423  -0.05824533  11.730833341   4.4550242  18.7936300 -19.9377591 -29.27119214
## 424  -0.05824533  11.730833341   4.4550242  18.7936300 -19.9377591 -29.27119214
## 425   7.55897575  -3.467168192  -7.9790263  -3.2730222  13.9053913  -4.86334102
## 426   7.55897575  -3.467168192  -7.9790263  -3.2730222  13.9053913  -4.86334102
## 427   7.55897575  -3.467168192  -7.9790263  -3.2730222  13.9053913  -4.86334102
## 428   7.55897575  -3.467168192  -7.9790263  -3.2730222  13.9053913  -4.86334102
## 429   7.55897575  -3.467168192  -7.9790263  -3.2730222  13.9053913  -4.86334102
## 430   7.55897575  -3.467168192  -7.9790263  -3.2730222  13.9053913  -4.86334102
## 431   7.55897575  -3.467168192  -7.9790263  -3.2730222  13.9053913  -4.86334102
## 432   7.55897575  -3.467168192  -7.9790263  -3.2730222  13.9053913  -4.86334102
## 433  -1.87866498 -33.528964279 -14.6522117 -18.0046451 -29.1033664 -34.52639216
## 434  -1.87866498 -33.528964279 -14.6522117 -18.0046451 -29.1033664 -34.52639216
## 435  -1.87866498 -33.528964279 -14.6522117 -18.0046451 -29.1033664 -34.52639216
## 436  -1.87866498 -33.528964279 -14.6522117 -18.0046451 -29.1033664 -34.52639216
## 437  -1.87866498 -33.528964279 -14.6522117 -18.0046451 -29.1033664 -34.52639216
## 438  -1.87866498 -33.528964279 -14.6522117 -18.0046451 -29.1033664 -34.52639216
## 439  -1.87866498 -33.528964279 -14.6522117 -18.0046451 -29.1033664 -34.52639216
## 440  -1.87866498 -33.528964279 -14.6522117 -18.0046451 -29.1033664 -34.52639216
## 441  -0.40556752  -3.817959963   2.9708034  -1.2581672  -3.1604096   4.87316756
## 442  -0.40556752  -3.817959963   2.9708034  -1.2581672  -3.1604096   4.87316756
## 443  -0.40556752  -3.817959963   2.9708034  -1.2581672  -3.1604096   4.87316756
## 444  -0.40556752  -3.817959963   2.9708034  -1.2581672  -3.1604096   4.87316756
## 445  -0.40556752  -3.817959963   2.9708034  -1.2581672  -3.1604096   4.87316756
## 446  -0.40556752  -3.817959963   2.9708034  -1.2581672  -3.1604096   4.87316756
## 447  -0.40556752  -3.817959963   2.9708034  -1.2581672  -3.1604096   4.87316756
## 448  -0.40556752  -3.817959963   2.9708034  -1.2581672  -3.1604096   4.87316756
## 449  17.46367534  -7.909862609   7.4906006 -12.0077053   0.2379518   5.29199546
## 450  17.46367534  -7.909862609   7.4906006 -12.0077053   0.2379518   5.29199546
## 451  17.46367534  -7.909862609   7.4906006 -12.0077053   0.2379518   5.29199546
## 452  17.46367534  -7.909862609   7.4906006 -12.0077053   0.2379518   5.29199546
## 453  17.46367534  -7.909862609   7.4906006 -12.0077053   0.2379518   5.29199546
## 454  17.46367534  -7.909862609   7.4906006 -12.0077053   0.2379518   5.29199546
## 455  17.46367534  -7.909862609   7.4906006 -12.0077053   0.2379518   5.29199546
## 456  17.46367534  -7.909862609   7.4906006 -12.0077053   0.2379518   5.29199546
## 457 -27.85397903  24.976050491   5.1970930  -9.1396790  -3.3540734 -14.39744196
## 458 -27.85397903  24.976050491   5.1970930  -9.1396790  -3.3540734 -14.39744196
## 459 -27.85397903  24.976050491   5.1970930  -9.1396790  -3.3540734 -14.39744196
## 460 -27.85397903  24.976050491   5.1970930  -9.1396790  -3.3540734 -14.39744196
## 461 -27.85397903  24.976050491   5.1970930  -9.1396790  -3.3540734 -14.39744196
## 462 -27.85397903  24.976050491   5.1970930  -9.1396790  -3.3540734 -14.39744196
## 463 -27.85397903  24.976050491   5.1970930  -9.1396790  -3.3540734 -14.39744196
## 464 -27.85397903  24.976050491   5.1970930  -9.1396790  -3.3540734 -14.39744196
## 465  15.15220778  16.704324854   3.3741574  -1.4105251  -1.9456330  -0.76223008
## 466  15.15220778  16.704324854   3.3741574  -1.4105251  -1.9456330  -0.76223008
## 467  15.15220778  16.704324854   3.3741574  -1.4105251  -1.9456330  -0.76223008
## 468  15.15220778  16.704324854   3.3741574  -1.4105251  -1.9456330  -0.76223008
## 469  15.15220778  16.704324854   3.3741574  -1.4105251  -1.9456330  -0.76223008
## 470  15.15220778  16.704324854   3.3741574  -1.4105251  -1.9456330  -0.76223008
## 471  15.15220778  16.704324854   3.3741574  -1.4105251  -1.9456330  -0.76223008
## 472  15.15220778  16.704324854   3.3741574  -1.4105251  -1.9456330  -0.76223008
## 473   0.44015038  -3.540505954   0.5733658  -6.1674338  -1.7755901  -3.55344972
## 474   0.44015038  -3.540505954   0.5733658  -6.1674338  -1.7755901  -3.55344972
## 475   0.44015038  -3.540505954   0.5733658  -6.1674338  -1.7755901  -3.55344972
## 476   0.44015038  -3.540505954   0.5733658  -6.1674338  -1.7755901  -3.55344972
## 477   0.44015038  -3.540505954   0.5733658  -6.1674338  -1.7755901  -3.55344972
## 478   0.44015038  -3.540505954   0.5733658  -6.1674338  -1.7755901  -3.55344972
## 479   0.44015038  -3.540505954   0.5733658  -6.1674338  -1.7755901  -3.55344972
## 480   0.44015038  -3.540505954   0.5733658  -6.1674338  -1.7755901  -3.55344972
## 481   4.12657390   2.270321451  -3.4188244  -2.6955860  -3.6458956   2.33902622
## 482   4.12657390   2.270321451  -3.4188244  -2.6955860  -3.6458956   2.33902622
## 483   4.12657390   2.270321451  -3.4188244  -2.6955860  -3.6458956   2.33902622
## 484   4.12657390   2.270321451  -3.4188244  -2.6955860  -3.6458956   2.33902622
## 485   4.12657390   2.270321451  -3.4188244  -2.6955860  -3.6458956   2.33902622
## 486   4.12657390   2.270321451  -3.4188244  -2.6955860  -3.6458956   2.33902622
## 487   4.12657390   2.270321451  -3.4188244  -2.6955860  -3.6458956   2.33902622
## 488   4.12657390   2.270321451  -3.4188244  -2.6955860  -3.6458956   2.33902622
## 489  -3.90589478   0.189961041   3.2059632   0.3488835  -1.4195194  -1.73808327
## 490  -3.90589478   0.189961041   3.2059632   0.3488835  -1.4195194  -1.73808327
## 491  -3.90589478   0.189961041   3.2059632   0.3488835  -1.4195194  -1.73808327
## 492  -3.90589478   0.189961041   3.2059632   0.3488835  -1.4195194  -1.73808327
## 493  -3.90589478   0.189961041   3.2059632   0.3488835  -1.4195194  -1.73808327
## 494  -3.90589478   0.189961041   3.2059632   0.3488835  -1.4195194  -1.73808327
## 495  -3.90589478   0.189961041   3.2059632   0.3488835  -1.4195194  -1.73808327
## 496  -3.90589478   0.189961041   3.2059632   0.3488835  -1.4195194  -1.73808327
## 497 -16.69677076 -14.806015275   3.8981149 -12.5011887   4.3309527 -14.89026865
## 498 -16.69677076 -14.806015275   3.8981149 -12.5011887   4.3309527 -14.89026865
## 499 -16.69677076 -14.806015275   3.8981149 -12.5011887   4.3309527 -14.89026865
## 500 -16.69677076 -14.806015275   3.8981149 -12.5011887   4.3309527 -14.89026865
## 501 -16.69677076 -14.806015275   3.8981149 -12.5011887   4.3309527 -14.89026865
## 502 -16.69677076 -14.806015275   3.8981149 -12.5011887   4.3309527 -14.89026865
## 503 -16.69677076 -14.806015275   3.8981149 -12.5011887   4.3309527 -14.89026865
## 504 -16.69677076 -14.806015275   3.8981149 -12.5011887   4.3309527 -14.89026865
## 505  -3.33467360   4.558752807  -5.3299465   0.5478739  -2.6613959   1.84954826
## 506  -3.33467360   4.558752807  -5.3299465   0.5478739  -2.6613959   1.84954826
## 507  -3.33467360   4.558752807  -5.3299465   0.5478739  -2.6613959   1.84954826
## 508  -3.33467360   4.558752807  -5.3299465   0.5478739  -2.6613959   1.84954826
## 509  -3.33467360   4.558752807  -5.3299465   0.5478739  -2.6613959   1.84954826
## 510  -3.33467360   4.558752807  -5.3299465   0.5478739  -2.6613959   1.84954826
## 511  -3.33467360   4.558752807  -5.3299465   0.5478739  -2.6613959   1.84954826
## 512  -3.33467360   4.558752807  -5.3299465   0.5478739  -2.6613959   1.84954826
## 513  -1.84376189  -6.972210069  -2.9991396  -3.8801812   3.9757200  -1.61103628
## 514  -1.84376189  -6.972210069  -2.9991396  -3.8801812   3.9757200  -1.61103628
## 515  -1.84376189  -6.972210069  -2.9991396  -3.8801812   3.9757200  -1.61103628
## 516  -1.84376189  -6.972210069  -2.9991396  -3.8801812   3.9757200  -1.61103628
## 517  -1.84376189  -6.972210069  -2.9991396  -3.8801812   3.9757200  -1.61103628
## 518  -1.84376189  -6.972210069  -2.9991396  -3.8801812   3.9757200  -1.61103628
## 519  -1.84376189  -6.972210069  -2.9991396  -3.8801812   3.9757200  -1.61103628
## 520  -1.84376189  -6.972210069  -2.9991396  -3.8801812   3.9757200  -1.61103628
## 521  -7.26530104   4.118355223  -4.6833283   3.2662104  -6.0706890   2.67177024
## 522  -7.26530104   4.118355223  -4.6833283   3.2662104  -6.0706890   2.67177024
## 523  -7.26530104   4.118355223  -4.6833283   3.2662104  -6.0706890   2.67177024
## 524  -7.26530104   4.118355223  -4.6833283   3.2662104  -6.0706890   2.67177024
## 525  -7.26530104   4.118355223  -4.6833283   3.2662104  -6.0706890   2.67177024
## 526  -7.26530104   4.118355223  -4.6833283   3.2662104  -6.0706890   2.67177024
## 527  -7.26530104   4.118355223  -4.6833283   3.2662104  -6.0706890   2.67177024
## 528  -7.26530104   4.118355223  -4.6833283   3.2662104  -6.0706890   2.67177024
## 529  -2.12327551  -2.307021284  -3.8145806  -1.0780040  -0.5420507  -4.42587907
## 530  -2.12327551  -2.307021284  -3.8145806  -1.0780040  -0.5420507  -4.42587907
## 531  -2.12327551  -2.307021284  -3.8145806  -1.0780040  -0.5420507  -4.42587907
## 532  -2.12327551  -2.307021284  -3.8145806  -1.0780040  -0.5420507  -4.42587907
## 533  -2.12327551  -2.307021284  -3.8145806  -1.0780040  -0.5420507  -4.42587907
## 534  -2.12327551  -2.307021284  -3.8145806  -1.0780040  -0.5420507  -4.42587907
## 535  -2.12327551  -2.307021284  -3.8145806  -1.0780040  -0.5420507  -4.42587907
## 536  -2.12327551  -2.307021284  -3.8145806  -1.0780040  -0.5420507  -4.42587907
## 537 -22.54868575 -15.723951952 -12.0753275   5.4524695   9.7593347  -8.61481506
## 538 -22.54868575 -15.723951952 -12.0753275   5.4524695   9.7593347  -8.61481506
## 539 -22.54868575 -15.723951952 -12.0753275   5.4524695   9.7593347  -8.61481506
## 540 -22.54868575 -15.723951952 -12.0753275   5.4524695   9.7593347  -8.61481506
## 541 -22.54868575 -15.723951952 -12.0753275   5.4524695   9.7593347  -8.61481506
## 542 -22.54868575 -15.723951952 -12.0753275   5.4524695   9.7593347  -8.61481506
## 543 -22.54868575 -15.723951952 -12.0753275   5.4524695   9.7593347  -8.61481506
## 544 -22.54868575 -15.723951952 -12.0753275   5.4524695   9.7593347  -8.61481506
## 545   2.74674799   4.120660274   4.1610905   2.4881469   0.4315070  -2.97150112
## 546   2.74674799   4.120660274   4.1610905   2.4881469   0.4315070  -2.97150112
## 547   2.74674799   4.120660274   4.1610905   2.4881469   0.4315070  -2.97150112
## 548   2.74674799   4.120660274   4.1610905   2.4881469   0.4315070  -2.97150112
## 549   2.74674799   4.120660274   4.1610905   2.4881469   0.4315070  -2.97150112
## 550   2.74674799   4.120660274   4.1610905   2.4881469   0.4315070  -2.97150112
## 551   2.74674799   4.120660274   4.1610905   2.4881469   0.4315070  -2.97150112
## 552   2.74674799   4.120660274   4.1610905   2.4881469   0.4315070  -2.97150112
## 553   2.00688499   0.609975726   1.0947671   2.2317832  -3.2112363   8.01812712
## 554   2.00688499   0.609975726   1.0947671   2.2317832  -3.2112363   8.01812712
## 555   2.00688499   0.609975726   1.0947671   2.2317832  -3.2112363   8.01812712
## 556   2.00688499   0.609975726   1.0947671   2.2317832  -3.2112363   8.01812712
## 557   2.00688499   0.609975726   1.0947671   2.2317832  -3.2112363   8.01812712
## 558   2.00688499   0.609975726   1.0947671   2.2317832  -3.2112363   8.01812712
## 559   2.00688499   0.609975726   1.0947671   2.2317832  -3.2112363   8.01812712
## 560   2.00688499   0.609975726   1.0947671   2.2317832  -3.2112363   8.01812712
## 561 -37.34631046 -28.226202161   9.6659926  11.3642989  28.2063238  38.40223152
## 562 -37.34631046 -28.226202161   9.6659926  11.3642989  28.2063238  38.40223152
## 563 -37.34631046 -28.226202161   9.6659926  11.3642989  28.2063238  38.40223152
## 564 -37.34631046 -28.226202161   9.6659926  11.3642989  28.2063238  38.40223152
## 565 -37.34631046 -28.226202161   9.6659926  11.3642989  28.2063238  38.40223152
## 566 -37.34631046 -28.226202161   9.6659926  11.3642989  28.2063238  38.40223152
## 567 -37.34631046 -28.226202161   9.6659926  11.3642989  28.2063238  38.40223152
## 568 -37.34631046 -28.226202161   9.6659926  11.3642989  28.2063238  38.40223152
## 569   7.10514439  -4.185646342  -2.7571758   4.0652850  -5.1702394   0.81991764
## 570   7.10514439  -4.185646342  -2.7571758   4.0652850  -5.1702394   0.81991764
## 571   7.10514439  -4.185646342  -2.7571758   4.0652850  -5.1702394   0.81991764
## 572   7.10514439  -4.185646342  -2.7571758   4.0652850  -5.1702394   0.81991764
## 573   7.10514439  -4.185646342  -2.7571758   4.0652850  -5.1702394   0.81991764
## 574   7.10514439  -4.185646342  -2.7571758   4.0652850  -5.1702394   0.81991764
## 575   7.10514439  -4.185646342  -2.7571758   4.0652850  -5.1702394   0.81991764
## 576   7.10514439  -4.185646342  -2.7571758   4.0652850  -5.1702394   0.81991764
## 577   3.23895946 -15.601792604  40.8770683  44.8672603  -8.8644408  34.96351785
## 578   3.23895946 -15.601792604  40.8770683  44.8672603  -8.8644408  34.96351785
## 579   3.23895946 -15.601792604  40.8770683  44.8672603  -8.8644408  34.96351785
## 580   3.23895946 -15.601792604  40.8770683  44.8672603  -8.8644408  34.96351785
## 581   3.23895946 -15.601792604  40.8770683  44.8672603  -8.8644408  34.96351785
## 582   3.23895946 -15.601792604  40.8770683  44.8672603  -8.8644408  34.96351785
## 583   3.23895946 -15.601792604  40.8770683  44.8672603  -8.8644408  34.96351785
## 584   3.23895946 -15.601792604  40.8770683  44.8672603  -8.8644408  34.96351785
## 585   1.83934606   2.633321331   4.5123632   1.6380711  -1.2610217  -4.67481804
## 586   1.83934606   2.633321331   4.5123632   1.6380711  -1.2610217  -4.67481804
## 587   1.83934606   2.633321331   4.5123632   1.6380711  -1.2610217  -4.67481804
## 588   1.83934606   2.633321331   4.5123632   1.6380711  -1.2610217  -4.67481804
## 589   1.83934606   2.633321331   4.5123632   1.6380711  -1.2610217  -4.67481804
## 590   1.83934606   2.633321331   4.5123632   1.6380711  -1.2610217  -4.67481804
## 591   1.83934606   2.633321331   4.5123632   1.6380711  -1.2610217  -4.67481804
## 592   1.83934606   2.633321331   4.5123632   1.6380711  -1.2610217  -4.67481804
## 593  -3.78267238   0.915169396   3.7968734  -2.5622636   1.4764032   0.39482323
## 594  -3.78267238   0.915169396   3.7968734  -2.5622636   1.4764032   0.39482323
## 595  -3.78267238   0.915169396   3.7968734  -2.5622636   1.4764032   0.39482323
## 596  -3.78267238   0.915169396   3.7968734  -2.5622636   1.4764032   0.39482323
## 597  -3.78267238   0.915169396   3.7968734  -2.5622636   1.4764032   0.39482323
## 598  -3.78267238   0.915169396   3.7968734  -2.5622636   1.4764032   0.39482323
## 599  -3.78267238   0.915169396   3.7968734  -2.5622636   1.4764032   0.39482323
## 600  -3.78267238   0.915169396   3.7968734  -2.5622636   1.4764032   0.39482323
## 601  -8.28242668  -0.634480003  37.1234661  28.3426906 -10.4917844  -3.82108530
## 602  -8.28242668  -0.634480003  37.1234661  28.3426906 -10.4917844  -3.82108530
## 603  -8.28242668  -0.634480003  37.1234661  28.3426906 -10.4917844  -3.82108530
## 604  -8.28242668  -0.634480003  37.1234661  28.3426906 -10.4917844  -3.82108530
## 605  -8.28242668  -0.634480003  37.1234661  28.3426906 -10.4917844  -3.82108530
## 606  -8.28242668  -0.634480003  37.1234661  28.3426906 -10.4917844  -3.82108530
## 607  -8.28242668  -0.634480003  37.1234661  28.3426906 -10.4917844  -3.82108530
## 608  -8.28242668  -0.634480003  37.1234661  28.3426906 -10.4917844  -3.82108530
## 609   0.02054787   6.558039179   3.3683612   3.1687848  -5.6993476   4.48668315
## 610   0.02054787   6.558039179   3.3683612   3.1687848  -5.6993476   4.48668315
## 611   0.02054787   6.558039179   3.3683612   3.1687848  -5.6993476   4.48668315
## 612   0.02054787   6.558039179   3.3683612   3.1687848  -5.6993476   4.48668315
## 613   0.02054787   6.558039179   3.3683612   3.1687848  -5.6993476   4.48668315
## 614   0.02054787   6.558039179   3.3683612   3.1687848  -5.6993476   4.48668315
## 615   0.02054787   6.558039179   3.3683612   3.1687848  -5.6993476   4.48668315
## 616   0.02054787   6.558039179   3.3683612   3.1687848  -5.6993476   4.48668315
## 617 -12.76943757  22.431481936  -3.4922201 -13.8077399   6.3871156 -23.99901225
## 618 -12.76943757  22.431481936  -3.4922201 -13.8077399   6.3871156 -23.99901225
## 619 -12.76943757  22.431481936  -3.4922201 -13.8077399   6.3871156 -23.99901225
## 620 -12.76943757  22.431481936  -3.4922201 -13.8077399   6.3871156 -23.99901225
## 621 -12.76943757  22.431481936  -3.4922201 -13.8077399   6.3871156 -23.99901225
## 622 -12.76943757  22.431481936  -3.4922201 -13.8077399   6.3871156 -23.99901225
## 623 -12.76943757  22.431481936  -3.4922201 -13.8077399   6.3871156 -23.99901225
## 624 -12.76943757  22.431481936  -3.4922201 -13.8077399   6.3871156 -23.99901225
## 625  -1.78270274   4.625686780  39.2208147   3.6793950   2.6518431 -15.31619124
## 626  -1.78270274   4.625686780  39.2208147   3.6793950   2.6518431 -15.31619124
## 627  -1.78270274   4.625686780  39.2208147   3.6793950   2.6518431 -15.31619124
## 628  -1.78270274   4.625686780  39.2208147   3.6793950   2.6518431 -15.31619124
## 629  -1.78270274   4.625686780  39.2208147   3.6793950   2.6518431 -15.31619124
## 630  -1.78270274   4.625686780  39.2208147   3.6793950   2.6518431 -15.31619124
## 631  -1.78270274   4.625686780  39.2208147   3.6793950   2.6518431 -15.31619124
## 632  -1.78270274   4.625686780  39.2208147   3.6793950   2.6518431 -15.31619124
## 633  36.31383994 -13.997392447 -12.6703637  17.3622696  14.2237766  38.67975965
## 634  36.31383994 -13.997392447 -12.6703637  17.3622696  14.2237766  38.67975965
## 635  36.31383994 -13.997392447 -12.6703637  17.3622696  14.2237766  38.67975965
## 636  36.31383994 -13.997392447 -12.6703637  17.3622696  14.2237766  38.67975965
## 637  36.31383994 -13.997392447 -12.6703637  17.3622696  14.2237766  38.67975965
## 638  36.31383994 -13.997392447 -12.6703637  17.3622696  14.2237766  38.67975965
## 639  36.31383994 -13.997392447 -12.6703637  17.3622696  14.2237766  38.67975965
## 640  36.31383994 -13.997392447 -12.6703637  17.3622696  14.2237766  38.67975965
## 641   2.02466952  -2.564983004   0.2693763   0.3665563   2.2704336  -0.86175878
## 642   2.02466952  -2.564983004   0.2693763   0.3665563   2.2704336  -0.86175878
## 643   2.02466952  -2.564983004   0.2693763   0.3665563   2.2704336  -0.86175878
## 644   2.02466952  -2.564983004   0.2693763   0.3665563   2.2704336  -0.86175878
## 645   2.02466952  -2.564983004   0.2693763   0.3665563   2.2704336  -0.86175878
## 646   2.02466952  -2.564983004   0.2693763   0.3665563   2.2704336  -0.86175878
## 647   2.02466952  -2.564983004   0.2693763   0.3665563   2.2704336  -0.86175878
## 648   2.02466952  -2.564983004   0.2693763   0.3665563   2.2704336  -0.86175878
## 649   2.01058434 -27.476099814 -33.5403068  -5.8342997 -17.6802582   1.78748426
## 650   2.01058434 -27.476099814 -33.5403068  -5.8342997 -17.6802582   1.78748426
## 651   2.01058434 -27.476099814 -33.5403068  -5.8342997 -17.6802582   1.78748426
## 652   2.01058434 -27.476099814 -33.5403068  -5.8342997 -17.6802582   1.78748426
## 653   2.01058434 -27.476099814 -33.5403068  -5.8342997 -17.6802582   1.78748426
## 654   2.01058434 -27.476099814 -33.5403068  -5.8342997 -17.6802582   1.78748426
## 655   2.01058434 -27.476099814 -33.5403068  -5.8342997 -17.6802582   1.78748426
## 656   2.01058434 -27.476099814 -33.5403068  -5.8342997 -17.6802582   1.78748426
## 657  -3.47687873   4.829643333  -8.0353229   3.5352425   1.4530822   4.33522843
## 658  -3.47687873   4.829643333  -8.0353229   3.5352425   1.4530822   4.33522843
## 659  -3.47687873   4.829643333  -8.0353229   3.5352425   1.4530822   4.33522843
## 660  -3.47687873   4.829643333  -8.0353229   3.5352425   1.4530822   4.33522843
## 661  -3.47687873   4.829643333  -8.0353229   3.5352425   1.4530822   4.33522843
## 662  -3.47687873   4.829643333  -8.0353229   3.5352425   1.4530822   4.33522843
## 663  -3.47687873   4.829643333  -8.0353229   3.5352425   1.4530822   4.33522843
## 664  -3.47687873   4.829643333  -8.0353229   3.5352425   1.4530822   4.33522843
## 665   0.05498740   0.615915574  -1.3389885   3.5681466  -0.5401853  -0.11609935
## 666   0.05498740   0.615915574  -1.3389885   3.5681466  -0.5401853  -0.11609935
## 667   0.05498740   0.615915574  -1.3389885   3.5681466  -0.5401853  -0.11609935
## 668   0.05498740   0.615915574  -1.3389885   3.5681466  -0.5401853  -0.11609935
## 669   0.05498740   0.615915574  -1.3389885   3.5681466  -0.5401853  -0.11609935
## 670   0.05498740   0.615915574  -1.3389885   3.5681466  -0.5401853  -0.11609935
## 671   0.05498740   0.615915574  -1.3389885   3.5681466  -0.5401853  -0.11609935
## 672   0.05498740   0.615915574  -1.3389885   3.5681466  -0.5401853  -0.11609935
## 673   5.00344426   7.856721325  -6.3715148   5.8498061  -2.4111295  -7.04563754
## 674   5.00344426   7.856721325  -6.3715148   5.8498061  -2.4111295  -7.04563754
## 675   5.00344426   7.856721325  -6.3715148   5.8498061  -2.4111295  -7.04563754
## 676   5.00344426   7.856721325  -6.3715148   5.8498061  -2.4111295  -7.04563754
## 677   5.00344426   7.856721325  -6.3715148   5.8498061  -2.4111295  -7.04563754
## 678   5.00344426   7.856721325  -6.3715148   5.8498061  -2.4111295  -7.04563754
## 679   5.00344426   7.856721325  -6.3715148   5.8498061  -2.4111295  -7.04563754
## 680   5.00344426   7.856721325  -6.3715148   5.8498061  -2.4111295  -7.04563754
## 681   3.15283899  -6.923091815  -1.9352035   0.2426840   3.7869543   1.35073864
## 682   3.15283899  -6.923091815  -1.9352035   0.2426840   3.7869543   1.35073864
## 683   3.15283899  -6.923091815  -1.9352035   0.2426840   3.7869543   1.35073864
## 684   3.15283899  -6.923091815  -1.9352035   0.2426840   3.7869543   1.35073864
## 685   3.15283899  -6.923091815  -1.9352035   0.2426840   3.7869543   1.35073864
## 686   3.15283899  -6.923091815  -1.9352035   0.2426840   3.7869543   1.35073864
## 687   3.15283899  -6.923091815  -1.9352035   0.2426840   3.7869543   1.35073864
## 688   3.15283899  -6.923091815  -1.9352035   0.2426840   3.7869543   1.35073864
## 689  -0.41380677   2.980470140  10.7643600  11.4720834  -2.6603587 -19.59744869
## 690  -0.41380677   2.980470140  10.7643600  11.4720834  -2.6603587 -19.59744869
## 691  -0.41380677   2.980470140  10.7643600  11.4720834  -2.6603587 -19.59744869
## 692  -0.41380677   2.980470140  10.7643600  11.4720834  -2.6603587 -19.59744869
## 693  -0.41380677   2.980470140  10.7643600  11.4720834  -2.6603587 -19.59744869
## 694  -0.41380677   2.980470140  10.7643600  11.4720834  -2.6603587 -19.59744869
## 695  -0.41380677   2.980470140  10.7643600  11.4720834  -2.6603587 -19.59744869
## 696  -0.41380677   2.980470140  10.7643600  11.4720834  -2.6603587 -19.59744869
## 697   7.19618151  -0.762127734   5.4194673 -15.0121030   9.3355500   8.01893787
## 698   7.19618151  -0.762127734   5.4194673 -15.0121030   9.3355500   8.01893787
## 699   7.19618151  -0.762127734   5.4194673 -15.0121030   9.3355500   8.01893787
## 700   7.19618151  -0.762127734   5.4194673 -15.0121030   9.3355500   8.01893787
## 701   7.19618151  -0.762127734   5.4194673 -15.0121030   9.3355500   8.01893787
## 702   7.19618151  -0.762127734   5.4194673 -15.0121030   9.3355500   8.01893787
## 703   7.19618151  -0.762127734   5.4194673 -15.0121030   9.3355500   8.01893787
## 704   7.19618151  -0.762127734   5.4194673 -15.0121030   9.3355500   8.01893787
## 705   5.65081109  -2.874663814   4.2787649   1.5126854  -1.1274306  -0.89839795
## 706   5.65081109  -2.874663814   4.2787649   1.5126854  -1.1274306  -0.89839795
## 707   5.65081109  -2.874663814   4.2787649   1.5126854  -1.1274306  -0.89839795
## 708   5.65081109  -2.874663814   4.2787649   1.5126854  -1.1274306  -0.89839795
## 709   5.65081109  -2.874663814   4.2787649   1.5126854  -1.1274306  -0.89839795
## 710   5.65081109  -2.874663814   4.2787649   1.5126854  -1.1274306  -0.89839795
## 711   5.65081109  -2.874663814   4.2787649   1.5126854  -1.1274306  -0.89839795
## 712   5.65081109  -2.874663814   4.2787649   1.5126854  -1.1274306  -0.89839795
## 713   9.69607334  -3.091811923   7.5034256  -1.9451951  11.8661706  17.01016342
## 714   9.69607334  -3.091811923   7.5034256  -1.9451951  11.8661706  17.01016342
## 715   9.69607334  -3.091811923   7.5034256  -1.9451951  11.8661706  17.01016342
## 716   9.69607334  -3.091811923   7.5034256  -1.9451951  11.8661706  17.01016342
## 717   9.69607334  -3.091811923   7.5034256  -1.9451951  11.8661706  17.01016342
## 718   9.69607334  -3.091811923   7.5034256  -1.9451951  11.8661706  17.01016342
## 719   9.69607334  -3.091811923   7.5034256  -1.9451951  11.8661706  17.01016342
## 720   9.69607334  -3.091811923   7.5034256  -1.9451951  11.8661706  17.01016342
## 721  18.48191182  15.458776208 -56.7189110  -3.7964699 -11.7107321  -8.99919730
## 722  18.48191182  15.458776208 -56.7189110  -3.7964699 -11.7107321  -8.99919730
## 723  18.48191182  15.458776208 -56.7189110  -3.7964699 -11.7107321  -8.99919730
## 724  18.48191182  15.458776208 -56.7189110  -3.7964699 -11.7107321  -8.99919730
## 725  18.48191182  15.458776208 -56.7189110  -3.7964699 -11.7107321  -8.99919730
## 726  18.48191182  15.458776208 -56.7189110  -3.7964699 -11.7107321  -8.99919730
## 727  18.48191182  15.458776208 -56.7189110  -3.7964699 -11.7107321  -8.99919730
## 728  18.48191182  15.458776208 -56.7189110  -3.7964699 -11.7107321  -8.99919730
## 729   0.03132931   0.874178659   0.7623497   3.9223778  -0.1107274   1.70522582
## 730   0.03132931   0.874178659   0.7623497   3.9223778  -0.1107274   1.70522582
## 731   0.03132931   0.874178659   0.7623497   3.9223778  -0.1107274   1.70522582
## 732   0.03132931   0.874178659   0.7623497   3.9223778  -0.1107274   1.70522582
## 733   0.03132931   0.874178659   0.7623497   3.9223778  -0.1107274   1.70522582
## 734   0.03132931   0.874178659   0.7623497   3.9223778  -0.1107274   1.70522582
## 735   0.03132931   0.874178659   0.7623497   3.9223778  -0.1107274   1.70522582
## 736   0.03132931   0.874178659   0.7623497   3.9223778  -0.1107274   1.70522582
## 737 -38.03510186  14.072820012  20.9425356  14.6617024  -4.5231093 -16.31885529
## 738 -38.03510186  14.072820012  20.9425356  14.6617024  -4.5231093 -16.31885529
## 739 -38.03510186  14.072820012  20.9425356  14.6617024  -4.5231093 -16.31885529
## 740 -38.03510186  14.072820012  20.9425356  14.6617024  -4.5231093 -16.31885529
## 741 -38.03510186  14.072820012  20.9425356  14.6617024  -4.5231093 -16.31885529
## 742 -38.03510186  14.072820012  20.9425356  14.6617024  -4.5231093 -16.31885529
## 743 -38.03510186  14.072820012  20.9425356  14.6617024  -4.5231093 -16.31885529
## 744 -38.03510186  14.072820012  20.9425356  14.6617024  -4.5231093 -16.31885529
## 745  -3.89092495  34.630936175   0.8788620  12.7998683  -1.5339965  -6.18505358
## 746  -3.89092495  34.630936175   0.8788620  12.7998683  -1.5339965  -6.18505358
## 747  -3.89092495  34.630936175   0.8788620  12.7998683  -1.5339965  -6.18505358
## 748  -3.89092495  34.630936175   0.8788620  12.7998683  -1.5339965  -6.18505358
## 749  -3.89092495  34.630936175   0.8788620  12.7998683  -1.5339965  -6.18505358
## 750  -3.89092495  34.630936175   0.8788620  12.7998683  -1.5339965  -6.18505358
## 751  -3.89092495  34.630936175   0.8788620  12.7998683  -1.5339965  -6.18505358
## 752  -3.89092495  34.630936175   0.8788620  12.7998683  -1.5339965  -6.18505358
## 753 -23.69572491  11.256877816  -7.7697932 -34.4863937 -58.0376141  22.83254423
## 754 -23.69572491  11.256877816  -7.7697932 -34.4863937 -58.0376141  22.83254423
## 755 -23.69572491  11.256877816  -7.7697932 -34.4863937 -58.0376141  22.83254423
## 756 -23.69572491  11.256877816  -7.7697932 -34.4863937 -58.0376141  22.83254423
## 757 -23.69572491  11.256877816  -7.7697932 -34.4863937 -58.0376141  22.83254423
## 758 -23.69572491  11.256877816  -7.7697932 -34.4863937 -58.0376141  22.83254423
## 759 -23.69572491  11.256877816  -7.7697932 -34.4863937 -58.0376141  22.83254423
## 760 -23.69572491  11.256877816  -7.7697932 -34.4863937 -58.0376141  22.83254423
## 761  25.85368819 -10.670850723 -28.9579539   6.1122369  15.8299452 -20.15325792
## 762  25.85368819 -10.670850723 -28.9579539   6.1122369  15.8299452 -20.15325792
## 763  25.85368819 -10.670850723 -28.9579539   6.1122369  15.8299452 -20.15325792
## 764  25.85368819 -10.670850723 -28.9579539   6.1122369  15.8299452 -20.15325792
## 765  25.85368819 -10.670850723 -28.9579539   6.1122369  15.8299452 -20.15325792
## 766  25.85368819 -10.670850723 -28.9579539   6.1122369  15.8299452 -20.15325792
## 767  25.85368819 -10.670850723 -28.9579539   6.1122369  15.8299452 -20.15325792
## 768  25.85368819 -10.670850723 -28.9579539   6.1122369  15.8299452 -20.15325792
## 769   8.38227855   4.842555428  -0.8093777   2.8864721   2.4165763  -8.25621578
## 770   8.38227855   4.842555428  -0.8093777   2.8864721   2.4165763  -8.25621578
## 771   8.38227855   4.842555428  -0.8093777   2.8864721   2.4165763  -8.25621578
## 772   8.38227855   4.842555428  -0.8093777   2.8864721   2.4165763  -8.25621578
## 773   8.38227855   4.842555428  -0.8093777   2.8864721   2.4165763  -8.25621578
## 774   8.38227855   4.842555428  -0.8093777   2.8864721   2.4165763  -8.25621578
## 775   8.38227855   4.842555428  -0.8093777   2.8864721   2.4165763  -8.25621578
## 776   8.38227855   4.842555428  -0.8093777   2.8864721   2.4165763  -8.25621578
## 777  -1.88551721   6.858390968   2.9035808 -13.3307181   1.8330637   3.09293974
## 778  -1.88551721   6.858390968   2.9035808 -13.3307181   1.8330637   3.09293974
## 779  -1.88551721   6.858390968   2.9035808 -13.3307181   1.8330637   3.09293974
## 780  -1.88551721   6.858390968   2.9035808 -13.3307181   1.8330637   3.09293974
## 781  -1.88551721   6.858390968   2.9035808 -13.3307181   1.8330637   3.09293974
## 782  -1.88551721   6.858390968   2.9035808 -13.3307181   1.8330637   3.09293974
## 783  -1.88551721   6.858390968   2.9035808 -13.3307181   1.8330637   3.09293974
## 784  -1.88551721   6.858390968   2.9035808 -13.3307181   1.8330637   3.09293974
## 785   2.46309778   3.395473546   2.9181588  -1.1708779   0.7837817   1.70756661
## 786   2.46309778   3.395473546   2.9181588  -1.1708779   0.7837817   1.70756661
## 787   2.46309778   3.395473546   2.9181588  -1.1708779   0.7837817   1.70756661
## 788   2.46309778   3.395473546   2.9181588  -1.1708779   0.7837817   1.70756661
## 789   2.46309778   3.395473546   2.9181588  -1.1708779   0.7837817   1.70756661
## 790   2.46309778   3.395473546   2.9181588  -1.1708779   0.7837817   1.70756661
## 791   2.46309778   3.395473546   2.9181588  -1.1708779   0.7837817   1.70756661
## 792   2.46309778   3.395473546   2.9181588  -1.1708779   0.7837817   1.70756661
## 793  -2.16659077  -1.106325841   7.9258267  -4.1398346   2.6957325   1.70528921
## 794  -2.16659077  -1.106325841   7.9258267  -4.1398346   2.6957325   1.70528921
## 795  -2.16659077  -1.106325841   7.9258267  -4.1398346   2.6957325   1.70528921
## 796  -2.16659077  -1.106325841   7.9258267  -4.1398346   2.6957325   1.70528921
## 797  -2.16659077  -1.106325841   7.9258267  -4.1398346   2.6957325   1.70528921
## 798  -2.16659077  -1.106325841   7.9258267  -4.1398346   2.6957325   1.70528921
## 799  -2.16659077  -1.106325841   7.9258267  -4.1398346   2.6957325   1.70528921
##       PC81_score  PC82_score   PC83_score  PC84_score  PC85_score   PC86_score
## 1    -1.02192867  14.6118687 -19.10645960  13.0855936 -45.4572281  -5.51080629
## 2    -1.02192867  14.6118687 -19.10645960  13.0855936 -45.4572281  -5.51080629
## 3    -1.02192867  14.6118687 -19.10645960  13.0855936 -45.4572281  -5.51080629
## 4    -1.02192867  14.6118687 -19.10645960  13.0855936 -45.4572281  -5.51080629
## 5    -1.02192867  14.6118687 -19.10645960  13.0855936 -45.4572281  -5.51080629
## 6    -1.02192867  14.6118687 -19.10645960  13.0855936 -45.4572281  -5.51080629
## 7    -1.02192867  14.6118687 -19.10645960  13.0855936 -45.4572281  -5.51080629
## 8    -1.02192867  14.6118687 -19.10645960  13.0855936 -45.4572281  -5.51080629
## 9     5.96803926   7.5273427   5.23406293  -3.6200080   1.5743319  -2.42250632
## 10    5.96803926   7.5273427   5.23406293  -3.6200080   1.5743319  -2.42250632
## 11    5.96803926   7.5273427   5.23406293  -3.6200080   1.5743319  -2.42250632
## 12    5.96803926   7.5273427   5.23406293  -3.6200080   1.5743319  -2.42250632
## 13    5.96803926   7.5273427   5.23406293  -3.6200080   1.5743319  -2.42250632
## 14    5.96803926   7.5273427   5.23406293  -3.6200080   1.5743319  -2.42250632
## 15    5.96803926   7.5273427   5.23406293  -3.6200080   1.5743319  -2.42250632
## 16    5.96803926   7.5273427   5.23406293  -3.6200080   1.5743319  -2.42250632
## 17    3.06409374  -8.5499793  -3.58616308  -1.6716963   0.3483971  -0.31838822
## 18    3.06409374  -8.5499793  -3.58616308  -1.6716963   0.3483971  -0.31838822
## 19    3.06409374  -8.5499793  -3.58616308  -1.6716963   0.3483971  -0.31838822
## 20    3.06409374  -8.5499793  -3.58616308  -1.6716963   0.3483971  -0.31838822
## 21    3.06409374  -8.5499793  -3.58616308  -1.6716963   0.3483971  -0.31838822
## 22    3.06409374  -8.5499793  -3.58616308  -1.6716963   0.3483971  -0.31838822
## 23    3.06409374  -8.5499793  -3.58616308  -1.6716963   0.3483971  -0.31838822
## 24    3.06409374  -8.5499793  -3.58616308  -1.6716963   0.3483971  -0.31838822
## 25   -2.48331426   4.3367629  -4.26684737  -2.8694235   0.5914854   3.79003639
## 26   -2.48331426   4.3367629  -4.26684737  -2.8694235   0.5914854   3.79003639
## 27   -2.48331426   4.3367629  -4.26684737  -2.8694235   0.5914854   3.79003639
## 28   -2.48331426   4.3367629  -4.26684737  -2.8694235   0.5914854   3.79003639
## 29   -2.48331426   4.3367629  -4.26684737  -2.8694235   0.5914854   3.79003639
## 30   -2.48331426   4.3367629  -4.26684737  -2.8694235   0.5914854   3.79003639
## 31   -2.48331426   4.3367629  -4.26684737  -2.8694235   0.5914854   3.79003639
## 32   -2.48331426   4.3367629  -4.26684737  -2.8694235   0.5914854   3.79003639
## 33   -9.23570085  35.6170402 -16.88258221   4.4026713  -5.6005319 -13.69739592
## 34   -9.23570085  35.6170402 -16.88258221   4.4026713  -5.6005319 -13.69739592
## 35   -9.23570085  35.6170402 -16.88258221   4.4026713  -5.6005319 -13.69739592
## 36   -9.23570085  35.6170402 -16.88258221   4.4026713  -5.6005319 -13.69739592
## 37   -9.23570085  35.6170402 -16.88258221   4.4026713  -5.6005319 -13.69739592
## 38   -9.23570085  35.6170402 -16.88258221   4.4026713  -5.6005319 -13.69739592
## 39   -9.23570085  35.6170402 -16.88258221   4.4026713  -5.6005319 -13.69739592
## 40   -9.23570085  35.6170402 -16.88258221   4.4026713  -5.6005319 -13.69739592
## 41   -9.29020186   1.9903961   9.04554888 -14.3094846 -19.3390781  -5.75450826
## 42   -9.29020186   1.9903961   9.04554888 -14.3094846 -19.3390781  -5.75450826
## 43   -9.29020186   1.9903961   9.04554888 -14.3094846 -19.3390781  -5.75450826
## 44   -9.29020186   1.9903961   9.04554888 -14.3094846 -19.3390781  -5.75450826
## 45   -9.29020186   1.9903961   9.04554888 -14.3094846 -19.3390781  -5.75450826
## 46   -9.29020186   1.9903961   9.04554888 -14.3094846 -19.3390781  -5.75450826
## 47   -9.29020186   1.9903961   9.04554888 -14.3094846 -19.3390781  -5.75450826
## 48   -9.29020186   1.9903961   9.04554888 -14.3094846 -19.3390781  -5.75450826
## 49   -4.62523119  -0.7817142   0.34467503  -1.4103298  -3.9526745  -0.89449954
## 50   -4.62523119  -0.7817142   0.34467503  -1.4103298  -3.9526745  -0.89449954
## 51   -4.62523119  -0.7817142   0.34467503  -1.4103298  -3.9526745  -0.89449954
## 52   -4.62523119  -0.7817142   0.34467503  -1.4103298  -3.9526745  -0.89449954
## 53   -4.62523119  -0.7817142   0.34467503  -1.4103298  -3.9526745  -0.89449954
## 54   -4.62523119  -0.7817142   0.34467503  -1.4103298  -3.9526745  -0.89449954
## 55   -4.62523119  -0.7817142   0.34467503  -1.4103298  -3.9526745  -0.89449954
## 56   -4.62523119  -0.7817142   0.34467503  -1.4103298  -3.9526745  -0.89449954
## 57    0.47067010   7.6487920   8.55802236 -10.1748659   8.1144440  -2.95476271
## 58    0.47067010   7.6487920   8.55802236 -10.1748659   8.1144440  -2.95476271
## 59    0.47067010   7.6487920   8.55802236 -10.1748659   8.1144440  -2.95476271
## 60    0.47067010   7.6487920   8.55802236 -10.1748659   8.1144440  -2.95476271
## 61    0.47067010   7.6487920   8.55802236 -10.1748659   8.1144440  -2.95476271
## 62    0.47067010   7.6487920   8.55802236 -10.1748659   8.1144440  -2.95476271
## 63    0.47067010   7.6487920   8.55802236 -10.1748659   8.1144440  -2.95476271
## 64    0.47067010   7.6487920   8.55802236 -10.1748659   8.1144440  -2.95476271
## 65   -5.68828414  -1.7133110   6.60106385  10.0133098  -2.1301008   9.08403994
## 66   -5.68828414  -1.7133110   6.60106385  10.0133098  -2.1301008   9.08403994
## 67   -5.68828414  -1.7133110   6.60106385  10.0133098  -2.1301008   9.08403994
## 68   -5.68828414  -1.7133110   6.60106385  10.0133098  -2.1301008   9.08403994
## 69   -5.68828414  -1.7133110   6.60106385  10.0133098  -2.1301008   9.08403994
## 70   -5.68828414  -1.7133110   6.60106385  10.0133098  -2.1301008   9.08403994
## 71   -5.68828414  -1.7133110   6.60106385  10.0133098  -2.1301008   9.08403994
## 72   -5.68828414  -1.7133110   6.60106385  10.0133098  -2.1301008   9.08403994
## 73    5.79654771   0.9418986   2.03844063  -2.5548243  11.2792611   6.23835403
## 74    5.79654771   0.9418986   2.03844063  -2.5548243  11.2792611   6.23835403
## 75    5.79654771   0.9418986   2.03844063  -2.5548243  11.2792611   6.23835403
## 76    5.79654771   0.9418986   2.03844063  -2.5548243  11.2792611   6.23835403
## 77    5.79654771   0.9418986   2.03844063  -2.5548243  11.2792611   6.23835403
## 78    5.79654771   0.9418986   2.03844063  -2.5548243  11.2792611   6.23835403
## 79    5.79654771   0.9418986   2.03844063  -2.5548243  11.2792611   6.23835403
## 80    5.79654771   0.9418986   2.03844063  -2.5548243  11.2792611   6.23835403
## 81    2.82655931 -67.7021104  -9.72754532  12.7276663 -46.7296915  21.88920256
## 82    2.82655931 -67.7021104  -9.72754532  12.7276663 -46.7296915  21.88920256
## 83    2.82655931 -67.7021104  -9.72754532  12.7276663 -46.7296915  21.88920256
## 84    2.82655931 -67.7021104  -9.72754532  12.7276663 -46.7296915  21.88920256
## 85    2.82655931 -67.7021104  -9.72754532  12.7276663 -46.7296915  21.88920256
## 86    2.82655931 -67.7021104  -9.72754532  12.7276663 -46.7296915  21.88920256
## 87    2.82655931 -67.7021104  -9.72754532  12.7276663 -46.7296915  21.88920256
## 88    2.82655931 -67.7021104  -9.72754532  12.7276663 -46.7296915  21.88920256
## 89    2.48598061   3.6501479   4.08567557   5.2703805   1.5549710   0.03803408
## 90    2.48598061   3.6501479   4.08567557   5.2703805   1.5549710   0.03803408
## 91    2.48598061   3.6501479   4.08567557   5.2703805   1.5549710   0.03803408
## 92    2.48598061   3.6501479   4.08567557   5.2703805   1.5549710   0.03803408
## 93    2.48598061   3.6501479   4.08567557   5.2703805   1.5549710   0.03803408
## 94    2.48598061   3.6501479   4.08567557   5.2703805   1.5549710   0.03803408
## 95    2.48598061   3.6501479   4.08567557   5.2703805   1.5549710   0.03803408
## 96    2.48598061   3.6501479   4.08567557   5.2703805   1.5549710   0.03803408
## 97   -4.59958068  -0.9375568  -5.14733649  -9.6800311   4.3940675   7.30500472
## 98   -4.59958068  -0.9375568  -5.14733649  -9.6800311   4.3940675   7.30500472
## 99   -4.59958068  -0.9375568  -5.14733649  -9.6800311   4.3940675   7.30500472
## 100  -4.59958068  -0.9375568  -5.14733649  -9.6800311   4.3940675   7.30500472
## 101  -4.59958068  -0.9375568  -5.14733649  -9.6800311   4.3940675   7.30500472
## 102  -4.59958068  -0.9375568  -5.14733649  -9.6800311   4.3940675   7.30500472
## 103  -4.59958068  -0.9375568  -5.14733649  -9.6800311   4.3940675   7.30500472
## 104  -4.59958068  -0.9375568  -5.14733649  -9.6800311   4.3940675   7.30500472
## 105  18.48056447 -16.2316568   6.13448787  12.8573394   1.9393742 -33.34615023
## 106  18.48056447 -16.2316568   6.13448787  12.8573394   1.9393742 -33.34615023
## 107  18.48056447 -16.2316568   6.13448787  12.8573394   1.9393742 -33.34615023
## 108  18.48056447 -16.2316568   6.13448787  12.8573394   1.9393742 -33.34615023
## 109  18.48056447 -16.2316568   6.13448787  12.8573394   1.9393742 -33.34615023
## 110  18.48056447 -16.2316568   6.13448787  12.8573394   1.9393742 -33.34615023
## 111  18.48056447 -16.2316568   6.13448787  12.8573394   1.9393742 -33.34615023
## 112  18.48056447 -16.2316568   6.13448787  12.8573394   1.9393742 -33.34615023
## 113  -1.81645902  -0.5285158   1.23838453  -2.0192481   0.8606156  -0.58789191
## 114  -1.81645902  -0.5285158   1.23838453  -2.0192481   0.8606156  -0.58789191
## 115  -1.81645902  -0.5285158   1.23838453  -2.0192481   0.8606156  -0.58789191
## 116  -1.81645902  -0.5285158   1.23838453  -2.0192481   0.8606156  -0.58789191
## 117  -1.81645902  -0.5285158   1.23838453  -2.0192481   0.8606156  -0.58789191
## 118  -1.81645902  -0.5285158   1.23838453  -2.0192481   0.8606156  -0.58789191
## 119  -1.81645902  -0.5285158   1.23838453  -2.0192481   0.8606156  -0.58789191
## 120  -1.81645902  -0.5285158   1.23838453  -2.0192481   0.8606156  -0.58789191
## 121  -6.59439835  -6.4734140  -4.60911633   4.6374514  -6.0677999  -0.39612312
## 122  -6.59439835  -6.4734140  -4.60911633   4.6374514  -6.0677999  -0.39612312
## 123  -6.59439835  -6.4734140  -4.60911633   4.6374514  -6.0677999  -0.39612312
## 124  -6.59439835  -6.4734140  -4.60911633   4.6374514  -6.0677999  -0.39612312
## 125  -6.59439835  -6.4734140  -4.60911633   4.6374514  -6.0677999  -0.39612312
## 126  -6.59439835  -6.4734140  -4.60911633   4.6374514  -6.0677999  -0.39612312
## 127  -6.59439835  -6.4734140  -4.60911633   4.6374514  -6.0677999  -0.39612312
## 128  -6.59439835  -6.4734140  -4.60911633   4.6374514  -6.0677999  -0.39612312
## 129   2.64432849  -2.3520599  14.81509328  -1.3446884   4.2612675  -8.74191899
## 130   2.64432849  -2.3520599  14.81509328  -1.3446884   4.2612675  -8.74191899
## 131   2.64432849  -2.3520599  14.81509328  -1.3446884   4.2612675  -8.74191899
## 132   2.64432849  -2.3520599  14.81509328  -1.3446884   4.2612675  -8.74191899
## 133   2.64432849  -2.3520599  14.81509328  -1.3446884   4.2612675  -8.74191899
## 134   2.64432849  -2.3520599  14.81509328  -1.3446884   4.2612675  -8.74191899
## 135   2.64432849  -2.3520599  14.81509328  -1.3446884   4.2612675  -8.74191899
## 136   2.64432849  -2.3520599  14.81509328  -1.3446884   4.2612675  -8.74191899
## 137  -0.78254484   2.0313290   0.66715165  -2.0650276  -0.1150546   1.08996876
## 138  -0.78254484   2.0313290   0.66715165  -2.0650276  -0.1150546   1.08996876
## 139  -0.78254484   2.0313290   0.66715165  -2.0650276  -0.1150546   1.08996876
## 140  -0.78254484   2.0313290   0.66715165  -2.0650276  -0.1150546   1.08996876
## 141  -0.78254484   2.0313290   0.66715165  -2.0650276  -0.1150546   1.08996876
## 142  -0.78254484   2.0313290   0.66715165  -2.0650276  -0.1150546   1.08996876
## 143  -0.78254484   2.0313290   0.66715165  -2.0650276  -0.1150546   1.08996876
## 144  -0.78254484   2.0313290   0.66715165  -2.0650276  -0.1150546   1.08996876
## 145  -6.30997706  17.3020689  14.02477920   3.2826709   1.3494060  11.14931523
## 146  -6.30997706  17.3020689  14.02477920   3.2826709   1.3494060  11.14931523
## 147  -6.30997706  17.3020689  14.02477920   3.2826709   1.3494060  11.14931523
## 148  -6.30997706  17.3020689  14.02477920   3.2826709   1.3494060  11.14931523
## 149  -6.30997706  17.3020689  14.02477920   3.2826709   1.3494060  11.14931523
## 150  -6.30997706  17.3020689  14.02477920   3.2826709   1.3494060  11.14931523
## 151  -6.30997706  17.3020689  14.02477920   3.2826709   1.3494060  11.14931523
## 152  -6.30997706  17.3020689  14.02477920   3.2826709   1.3494060  11.14931523
## 153   0.34878827   1.0040531   1.48268414  -4.3890534  -0.6458476   0.19097141
## 154   0.34878827   1.0040531   1.48268414  -4.3890534  -0.6458476   0.19097141
## 155   0.34878827   1.0040531   1.48268414  -4.3890534  -0.6458476   0.19097141
## 156   0.34878827   1.0040531   1.48268414  -4.3890534  -0.6458476   0.19097141
## 157   0.34878827   1.0040531   1.48268414  -4.3890534  -0.6458476   0.19097141
## 158   0.34878827   1.0040531   1.48268414  -4.3890534  -0.6458476   0.19097141
## 159   0.34878827   1.0040531   1.48268414  -4.3890534  -0.6458476   0.19097141
## 160   0.34878827   1.0040531   1.48268414  -4.3890534  -0.6458476   0.19097141
## 161  -0.17383584  -0.9944092  10.40506287  24.1130097  -4.2800466  -1.95354202
## 162  -0.17383584  -0.9944092  10.40506287  24.1130097  -4.2800466  -1.95354202
## 163  -0.17383584  -0.9944092  10.40506287  24.1130097  -4.2800466  -1.95354202
## 164  -0.17383584  -0.9944092  10.40506287  24.1130097  -4.2800466  -1.95354202
## 165  -0.17383584  -0.9944092  10.40506287  24.1130097  -4.2800466  -1.95354202
## 166  -0.17383584  -0.9944092  10.40506287  24.1130097  -4.2800466  -1.95354202
## 167  -0.17383584  -0.9944092  10.40506287  24.1130097  -4.2800466  -1.95354202
## 168  -0.17383584  -0.9944092  10.40506287  24.1130097  -4.2800466  -1.95354202
## 169   3.08858435  -1.2354998   2.97099739  -3.9736815   5.9773900  -2.57196159
## 170   3.08858435  -1.2354998   2.97099739  -3.9736815   5.9773900  -2.57196159
## 171   3.08858435  -1.2354998   2.97099739  -3.9736815   5.9773900  -2.57196159
## 172   3.08858435  -1.2354998   2.97099739  -3.9736815   5.9773900  -2.57196159
## 173   3.08858435  -1.2354998   2.97099739  -3.9736815   5.9773900  -2.57196159
## 174   3.08858435  -1.2354998   2.97099739  -3.9736815   5.9773900  -2.57196159
## 175   3.08858435  -1.2354998   2.97099739  -3.9736815   5.9773900  -2.57196159
## 176   3.08858435  -1.2354998   2.97099739  -3.9736815   5.9773900  -2.57196159
## 177  -4.78421105  -3.8465278 -10.58458330  -2.1745126  14.6762483   0.62636225
## 178  -4.78421105  -3.8465278 -10.58458330  -2.1745126  14.6762483   0.62636225
## 179  -4.78421105  -3.8465278 -10.58458330  -2.1745126  14.6762483   0.62636225
## 180  -4.78421105  -3.8465278 -10.58458330  -2.1745126  14.6762483   0.62636225
## 181  -4.78421105  -3.8465278 -10.58458330  -2.1745126  14.6762483   0.62636225
## 182  -4.78421105  -3.8465278 -10.58458330  -2.1745126  14.6762483   0.62636225
## 183  -4.78421105  -3.8465278 -10.58458330  -2.1745126  14.6762483   0.62636225
## 184  -4.78421105  -3.8465278 -10.58458330  -2.1745126  14.6762483   0.62636225
## 185   0.19757379   2.6202724  -0.18304460   0.2648944   0.8677139   1.38287817
## 186   0.19757379   2.6202724  -0.18304460   0.2648944   0.8677139   1.38287817
## 187   0.19757379   2.6202724  -0.18304460   0.2648944   0.8677139   1.38287817
## 188   0.19757379   2.6202724  -0.18304460   0.2648944   0.8677139   1.38287817
## 189   0.19757379   2.6202724  -0.18304460   0.2648944   0.8677139   1.38287817
## 190   0.19757379   2.6202724  -0.18304460   0.2648944   0.8677139   1.38287817
## 191   0.19757379   2.6202724  -0.18304460   0.2648944   0.8677139   1.38287817
## 192   0.19757379   2.6202724  -0.18304460   0.2648944   0.8677139   1.38287817
## 193   9.76225194   3.7888239  -0.41059029  -5.4569285   7.5622021  -4.13424328
## 194   9.76225194   3.7888239  -0.41059029  -5.4569285   7.5622021  -4.13424328
## 195   9.76225194   3.7888239  -0.41059029  -5.4569285   7.5622021  -4.13424328
## 196   9.76225194   3.7888239  -0.41059029  -5.4569285   7.5622021  -4.13424328
## 197   9.76225194   3.7888239  -0.41059029  -5.4569285   7.5622021  -4.13424328
## 198   9.76225194   3.7888239  -0.41059029  -5.4569285   7.5622021  -4.13424328
## 199   9.76225194   3.7888239  -0.41059029  -5.4569285   7.5622021  -4.13424328
## 200   9.76225194   3.7888239  -0.41059029  -5.4569285   7.5622021  -4.13424328
## 201   2.57925109  -8.3064125  -2.95607061   3.6233079   1.9095255  -1.99152303
## 202   2.57925109  -8.3064125  -2.95607061   3.6233079   1.9095255  -1.99152303
## 203   2.57925109  -8.3064125  -2.95607061   3.6233079   1.9095255  -1.99152303
## 204   2.57925109  -8.3064125  -2.95607061   3.6233079   1.9095255  -1.99152303
## 205   2.57925109  -8.3064125  -2.95607061   3.6233079   1.9095255  -1.99152303
## 206   2.57925109  -8.3064125  -2.95607061   3.6233079   1.9095255  -1.99152303
## 207   2.57925109  -8.3064125  -2.95607061   3.6233079   1.9095255  -1.99152303
## 208   2.57925109  -8.3064125  -2.95607061   3.6233079   1.9095255  -1.99152303
## 209   1.42026537   6.0033426   4.29461758   1.5587828   5.0426509   0.38462727
## 210   1.42026537   6.0033426   4.29461758   1.5587828   5.0426509   0.38462727
## 211   1.42026537   6.0033426   4.29461758   1.5587828   5.0426509   0.38462727
## 212   1.42026537   6.0033426   4.29461758   1.5587828   5.0426509   0.38462727
## 213   1.42026537   6.0033426   4.29461758   1.5587828   5.0426509   0.38462727
## 214   1.42026537   6.0033426   4.29461758   1.5587828   5.0426509   0.38462727
## 215   1.42026537   6.0033426   4.29461758   1.5587828   5.0426509   0.38462727
## 216   1.42026537   6.0033426   4.29461758   1.5587828   5.0426509   0.38462727
## 217  -0.69314561  -1.1429891   0.97858451   0.3019233   0.5730056  -1.01684881
## 218  -0.69314561  -1.1429891   0.97858451   0.3019233   0.5730056  -1.01684881
## 219  -0.69314561  -1.1429891   0.97858451   0.3019233   0.5730056  -1.01684881
## 220  -0.69314561  -1.1429891   0.97858451   0.3019233   0.5730056  -1.01684881
## 221  -0.69314561  -1.1429891   0.97858451   0.3019233   0.5730056  -1.01684881
## 222  -0.69314561  -1.1429891   0.97858451   0.3019233   0.5730056  -1.01684881
## 223  -0.69314561  -1.1429891   0.97858451   0.3019233   0.5730056  -1.01684881
## 224  -0.69314561  -1.1429891   0.97858451   0.3019233   0.5730056  -1.01684881
## 225   3.10870660  -7.7874965   3.37057271  -8.4415072  -3.0820300  -4.00714042
## 226   3.10870660  -7.7874965   3.37057271  -8.4415072  -3.0820300  -4.00714042
## 227   3.10870660  -7.7874965   3.37057271  -8.4415072  -3.0820300  -4.00714042
## 228   3.10870660  -7.7874965   3.37057271  -8.4415072  -3.0820300  -4.00714042
## 229   3.10870660  -7.7874965   3.37057271  -8.4415072  -3.0820300  -4.00714042
## 230   3.10870660  -7.7874965   3.37057271  -8.4415072  -3.0820300  -4.00714042
## 231   3.10870660  -7.7874965   3.37057271  -8.4415072  -3.0820300  -4.00714042
## 232   3.10870660  -7.7874965   3.37057271  -8.4415072  -3.0820300  -4.00714042
## 233   0.32201696  -6.9845850  -2.49699891  -0.5421265  -0.3926746   3.44117213
## 234   0.32201696  -6.9845850  -2.49699891  -0.5421265  -0.3926746   3.44117213
## 235   0.32201696  -6.9845850  -2.49699891  -0.5421265  -0.3926746   3.44117213
## 236   0.32201696  -6.9845850  -2.49699891  -0.5421265  -0.3926746   3.44117213
## 237   0.32201696  -6.9845850  -2.49699891  -0.5421265  -0.3926746   3.44117213
## 238   0.32201696  -6.9845850  -2.49699891  -0.5421265  -0.3926746   3.44117213
## 239   0.32201696  -6.9845850  -2.49699891  -0.5421265  -0.3926746   3.44117213
## 240   0.32201696  -6.9845850  -2.49699891  -0.5421265  -0.3926746   3.44117213
## 241   2.79079980  18.6893595  -7.32978241   7.7975900  -8.4492973 -13.30158538
## 242   2.79079980  18.6893595  -7.32978241   7.7975900  -8.4492973 -13.30158538
## 243   2.79079980  18.6893595  -7.32978241   7.7975900  -8.4492973 -13.30158538
## 244   2.79079980  18.6893595  -7.32978241   7.7975900  -8.4492973 -13.30158538
## 245   2.79079980  18.6893595  -7.32978241   7.7975900  -8.4492973 -13.30158538
## 246   2.79079980  18.6893595  -7.32978241   7.7975900  -8.4492973 -13.30158538
## 247   2.79079980  18.6893595  -7.32978241   7.7975900  -8.4492973 -13.30158538
## 248   2.79079980  18.6893595  -7.32978241   7.7975900  -8.4492973 -13.30158538
## 249 -14.51941885 -16.8440529  -6.53119175  14.1636828  14.9639739  43.10067047
## 250 -14.51941885 -16.8440529  -6.53119175  14.1636828  14.9639739  43.10067047
## 251 -14.51941885 -16.8440529  -6.53119175  14.1636828  14.9639739  43.10067047
## 252 -14.51941885 -16.8440529  -6.53119175  14.1636828  14.9639739  43.10067047
## 253 -14.51941885 -16.8440529  -6.53119175  14.1636828  14.9639739  43.10067047
## 254 -14.51941885 -16.8440529  -6.53119175  14.1636828  14.9639739  43.10067047
## 255 -14.51941885 -16.8440529  -6.53119175  14.1636828  14.9639739  43.10067047
## 256 -14.51941885 -16.8440529  -6.53119175  14.1636828  14.9639739  43.10067047
## 257  -0.54236833   1.3484916   1.12081974  -3.5494916  16.8043031  28.65723915
## 258  -0.54236833   1.3484916   1.12081974  -3.5494916  16.8043031  28.65723915
## 259  -0.54236833   1.3484916   1.12081974  -3.5494916  16.8043031  28.65723915
## 260  -0.54236833   1.3484916   1.12081974  -3.5494916  16.8043031  28.65723915
## 261  -0.54236833   1.3484916   1.12081974  -3.5494916  16.8043031  28.65723915
## 262  -0.54236833   1.3484916   1.12081974  -3.5494916  16.8043031  28.65723915
## 263  -0.54236833   1.3484916   1.12081974  -3.5494916  16.8043031  28.65723915
## 264  -0.54236833   1.3484916   1.12081974  -3.5494916  16.8043031  28.65723915
## 265   5.60491996   4.8015632  -3.03331709   6.4168241  -3.4909001  12.84255811
## 266   5.60491996   4.8015632  -3.03331709   6.4168241  -3.4909001  12.84255811
## 267   5.60491996   4.8015632  -3.03331709   6.4168241  -3.4909001  12.84255811
## 268   5.60491996   4.8015632  -3.03331709   6.4168241  -3.4909001  12.84255811
## 269   5.60491996   4.8015632  -3.03331709   6.4168241  -3.4909001  12.84255811
## 270   5.60491996   4.8015632  -3.03331709   6.4168241  -3.4909001  12.84255811
## 271   5.60491996   4.8015632  -3.03331709   6.4168241  -3.4909001  12.84255811
## 272   5.60491996   4.8015632  -3.03331709   6.4168241  -3.4909001  12.84255811
## 273  -6.24611450  -3.5859414  -3.27646287  -9.5944945  -0.3377090  -0.02680012
## 274  -6.24611450  -3.5859414  -3.27646287  -9.5944945  -0.3377090  -0.02680012
## 275  -6.24611450  -3.5859414  -3.27646287  -9.5944945  -0.3377090  -0.02680012
## 276  -6.24611450  -3.5859414  -3.27646287  -9.5944945  -0.3377090  -0.02680012
## 277  -6.24611450  -3.5859414  -3.27646287  -9.5944945  -0.3377090  -0.02680012
## 278  -6.24611450  -3.5859414  -3.27646287  -9.5944945  -0.3377090  -0.02680012
## 279  -6.24611450  -3.5859414  -3.27646287  -9.5944945  -0.3377090  -0.02680012
## 280  -6.24611450  -3.5859414  -3.27646287  -9.5944945  -0.3377090  -0.02680012
## 281  -6.73203189   1.3994702   1.44939320  -2.5471230   4.1453305   9.18128009
## 282  -6.73203189   1.3994702   1.44939320  -2.5471230   4.1453305   9.18128009
## 283  -6.73203189   1.3994702   1.44939320  -2.5471230   4.1453305   9.18128009
## 284  -6.73203189   1.3994702   1.44939320  -2.5471230   4.1453305   9.18128009
## 285  -6.73203189   1.3994702   1.44939320  -2.5471230   4.1453305   9.18128009
## 286  -6.73203189   1.3994702   1.44939320  -2.5471230   4.1453305   9.18128009
## 287  -6.73203189   1.3994702   1.44939320  -2.5471230   4.1453305   9.18128009
## 288  -6.73203189   1.3994702   1.44939320  -2.5471230   4.1453305   9.18128009
## 289 -25.66536732  -7.9811118   7.50678412   7.1754472   4.9001392 -14.57016510
## 290 -25.66536732  -7.9811118   7.50678412   7.1754472   4.9001392 -14.57016510
## 291 -25.66536732  -7.9811118   7.50678412   7.1754472   4.9001392 -14.57016510
## 292 -25.66536732  -7.9811118   7.50678412   7.1754472   4.9001392 -14.57016510
## 293 -25.66536732  -7.9811118   7.50678412   7.1754472   4.9001392 -14.57016510
## 294 -25.66536732  -7.9811118   7.50678412   7.1754472   4.9001392 -14.57016510
## 295 -25.66536732  -7.9811118   7.50678412   7.1754472   4.9001392 -14.57016510
## 296 -25.66536732  -7.9811118   7.50678412   7.1754472   4.9001392 -14.57016510
## 297  22.26890443   2.6996639 -27.31524136  19.7300225  21.0409299  -8.42367376
## 298  22.26890443   2.6996639 -27.31524136  19.7300225  21.0409299  -8.42367376
## 299  22.26890443   2.6996639 -27.31524136  19.7300225  21.0409299  -8.42367376
## 300  22.26890443   2.6996639 -27.31524136  19.7300225  21.0409299  -8.42367376
## 301  22.26890443   2.6996639 -27.31524136  19.7300225  21.0409299  -8.42367376
## 302  22.26890443   2.6996639 -27.31524136  19.7300225  21.0409299  -8.42367376
## 303  22.26890443   2.6996639 -27.31524136  19.7300225  21.0409299  -8.42367376
## 304  22.26890443   2.6996639 -27.31524136  19.7300225  21.0409299  -8.42367376
## 305  -1.74312261 -11.4280592   2.99026426  -1.8683297  -2.7933063 -12.89954110
## 306  -1.74312261 -11.4280592   2.99026426  -1.8683297  -2.7933063 -12.89954110
## 307  -1.74312261 -11.4280592   2.99026426  -1.8683297  -2.7933063 -12.89954110
## 308  -1.74312261 -11.4280592   2.99026426  -1.8683297  -2.7933063 -12.89954110
## 309  -1.74312261 -11.4280592   2.99026426  -1.8683297  -2.7933063 -12.89954110
## 310  -1.74312261 -11.4280592   2.99026426  -1.8683297  -2.7933063 -12.89954110
## 311  -1.74312261 -11.4280592   2.99026426  -1.8683297  -2.7933063 -12.89954110
## 312  -1.74312261 -11.4280592   2.99026426  -1.8683297  -2.7933063 -12.89954110
## 313  -5.22768159  -5.5399215  -6.03795269  -2.2121935  -6.3669914  -5.56446019
## 314  -5.22768159  -5.5399215  -6.03795269  -2.2121935  -6.3669914  -5.56446019
## 315  -5.22768159  -5.5399215  -6.03795269  -2.2121935  -6.3669914  -5.56446019
## 316  -5.22768159  -5.5399215  -6.03795269  -2.2121935  -6.3669914  -5.56446019
## 317  -5.22768159  -5.5399215  -6.03795269  -2.2121935  -6.3669914  -5.56446019
## 318  -5.22768159  -5.5399215  -6.03795269  -2.2121935  -6.3669914  -5.56446019
## 319  -5.22768159  -5.5399215  -6.03795269  -2.2121935  -6.3669914  -5.56446019
## 320  -5.22768159  -5.5399215  -6.03795269  -2.2121935  -6.3669914  -5.56446019
## 321  -1.77233244  -0.5865031   4.89430648   0.2169346  -7.0901365   2.31129005
## 322  -1.77233244  -0.5865031   4.89430648   0.2169346  -7.0901365   2.31129005
## 323  -1.77233244  -0.5865031   4.89430648   0.2169346  -7.0901365   2.31129005
## 324  -1.77233244  -0.5865031   4.89430648   0.2169346  -7.0901365   2.31129005
## 325  -1.77233244  -0.5865031   4.89430648   0.2169346  -7.0901365   2.31129005
## 326  -1.77233244  -0.5865031   4.89430648   0.2169346  -7.0901365   2.31129005
## 327  -1.77233244  -0.5865031   4.89430648   0.2169346  -7.0901365   2.31129005
## 328  -1.77233244  -0.5865031   4.89430648   0.2169346  -7.0901365   2.31129005
## 329  53.09839034 -11.6094524 -30.07915872 -47.4386610  23.5686751  15.71480717
## 330  53.09839034 -11.6094524 -30.07915872 -47.4386610  23.5686751  15.71480717
## 331  53.09839034 -11.6094524 -30.07915872 -47.4386610  23.5686751  15.71480717
## 332  53.09839034 -11.6094524 -30.07915872 -47.4386610  23.5686751  15.71480717
## 333  53.09839034 -11.6094524 -30.07915872 -47.4386610  23.5686751  15.71480717
## 334  53.09839034 -11.6094524 -30.07915872 -47.4386610  23.5686751  15.71480717
## 335  53.09839034 -11.6094524 -30.07915872 -47.4386610  23.5686751  15.71480717
## 336  53.09839034 -11.6094524 -30.07915872 -47.4386610  23.5686751  15.71480717
## 337   5.44904622   3.4696514   0.45076109  -1.6227226   3.9101022  -3.88817100
## 338   5.44904622   3.4696514   0.45076109  -1.6227226   3.9101022  -3.88817100
## 339   5.44904622   3.4696514   0.45076109  -1.6227226   3.9101022  -3.88817100
## 340   5.44904622   3.4696514   0.45076109  -1.6227226   3.9101022  -3.88817100
## 341   5.44904622   3.4696514   0.45076109  -1.6227226   3.9101022  -3.88817100
## 342   5.44904622   3.4696514   0.45076109  -1.6227226   3.9101022  -3.88817100
## 343   5.44904622   3.4696514   0.45076109  -1.6227226   3.9101022  -3.88817100
## 344   5.44904622   3.4696514   0.45076109  -1.6227226   3.9101022  -3.88817100
## 345   4.78543100   6.8266095   5.63195813  -6.5432252  -1.4153467  -6.04320123
## 346   4.78543100   6.8266095   5.63195813  -6.5432252  -1.4153467  -6.04320123
## 347   4.78543100   6.8266095   5.63195813  -6.5432252  -1.4153467  -6.04320123
## 348   4.78543100   6.8266095   5.63195813  -6.5432252  -1.4153467  -6.04320123
## 349   4.78543100   6.8266095   5.63195813  -6.5432252  -1.4153467  -6.04320123
## 350   4.78543100   6.8266095   5.63195813  -6.5432252  -1.4153467  -6.04320123
## 351   4.78543100   6.8266095   5.63195813  -6.5432252  -1.4153467  -6.04320123
## 352   4.78543100   6.8266095   5.63195813  -6.5432252  -1.4153467  -6.04320123
## 353   0.09196916  16.2561591 -32.58695366  10.9518560  17.9182513 -18.41298901
## 354   0.09196916  16.2561591 -32.58695366  10.9518560  17.9182513 -18.41298901
## 355   0.09196916  16.2561591 -32.58695366  10.9518560  17.9182513 -18.41298901
## 356   0.09196916  16.2561591 -32.58695366  10.9518560  17.9182513 -18.41298901
## 357   0.09196916  16.2561591 -32.58695366  10.9518560  17.9182513 -18.41298901
## 358   0.09196916  16.2561591 -32.58695366  10.9518560  17.9182513 -18.41298901
## 359   0.09196916  16.2561591 -32.58695366  10.9518560  17.9182513 -18.41298901
## 360   0.09196916  16.2561591 -32.58695366  10.9518560  17.9182513 -18.41298901
## 361   1.42574120   6.1651912   0.61600225  -1.5689878  -5.4176747   4.16611169
## 362   1.42574120   6.1651912   0.61600225  -1.5689878  -5.4176747   4.16611169
## 363   1.42574120   6.1651912   0.61600225  -1.5689878  -5.4176747   4.16611169
## 364   1.42574120   6.1651912   0.61600225  -1.5689878  -5.4176747   4.16611169
## 365   1.42574120   6.1651912   0.61600225  -1.5689878  -5.4176747   4.16611169
## 366   1.42574120   6.1651912   0.61600225  -1.5689878  -5.4176747   4.16611169
## 367   1.42574120   6.1651912   0.61600225  -1.5689878  -5.4176747   4.16611169
## 368   1.42574120   6.1651912   0.61600225  -1.5689878  -5.4176747   4.16611169
## 369  -2.23718339 -46.1918518  34.85453248   5.4817492  36.3519814   7.89248747
## 370  -2.23718339 -46.1918518  34.85453248   5.4817492  36.3519814   7.89248747
## 371  -2.23718339 -46.1918518  34.85453248   5.4817492  36.3519814   7.89248747
## 372  -2.23718339 -46.1918518  34.85453248   5.4817492  36.3519814   7.89248747
## 373  -2.23718339 -46.1918518  34.85453248   5.4817492  36.3519814   7.89248747
## 374  -2.23718339 -46.1918518  34.85453248   5.4817492  36.3519814   7.89248747
## 375  -2.23718339 -46.1918518  34.85453248   5.4817492  36.3519814   7.89248747
## 376  -2.23718339 -46.1918518  34.85453248   5.4817492  36.3519814   7.89248747
## 377  -0.73181396   4.2817427 -19.29941138  12.9394738   3.0197344  24.39991722
## 378  -0.73181396   4.2817427 -19.29941138  12.9394738   3.0197344  24.39991722
## 379  -0.73181396   4.2817427 -19.29941138  12.9394738   3.0197344  24.39991722
## 380  -0.73181396   4.2817427 -19.29941138  12.9394738   3.0197344  24.39991722
## 381  -0.73181396   4.2817427 -19.29941138  12.9394738   3.0197344  24.39991722
## 382  -0.73181396   4.2817427 -19.29941138  12.9394738   3.0197344  24.39991722
## 383  -0.73181396   4.2817427 -19.29941138  12.9394738   3.0197344  24.39991722
## 384  -0.73181396   4.2817427 -19.29941138  12.9394738   3.0197344  24.39991722
## 385   2.25081044  -0.5238133   0.01019672  -1.4150255   9.3459627   4.58917306
## 386   2.25081044  -0.5238133   0.01019672  -1.4150255   9.3459627   4.58917306
## 387   2.25081044  -0.5238133   0.01019672  -1.4150255   9.3459627   4.58917306
## 388   2.25081044  -0.5238133   0.01019672  -1.4150255   9.3459627   4.58917306
## 389   2.25081044  -0.5238133   0.01019672  -1.4150255   9.3459627   4.58917306
## 390   2.25081044  -0.5238133   0.01019672  -1.4150255   9.3459627   4.58917306
## 391   2.25081044  -0.5238133   0.01019672  -1.4150255   9.3459627   4.58917306
## 392   2.25081044  -0.5238133   0.01019672  -1.4150255   9.3459627   4.58917306
## 393   1.68728797   1.6856535  -1.33110681  -2.7825390   1.4488159  -5.03532029
## 394   1.68728797   1.6856535  -1.33110681  -2.7825390   1.4488159  -5.03532029
## 395   1.68728797   1.6856535  -1.33110681  -2.7825390   1.4488159  -5.03532029
## 396   1.68728797   1.6856535  -1.33110681  -2.7825390   1.4488159  -5.03532029
## 397   1.68728797   1.6856535  -1.33110681  -2.7825390   1.4488159  -5.03532029
## 398   1.68728797   1.6856535  -1.33110681  -2.7825390   1.4488159  -5.03532029
## 399   1.68728797   1.6856535  -1.33110681  -2.7825390   1.4488159  -5.03532029
## 400   1.68728797   1.6856535  -1.33110681  -2.7825390   1.4488159  -5.03532029
## 401   3.26520419  -1.8506943   0.65935710  -5.2341334   2.5793114  -3.39296882
## 402   3.26520419  -1.8506943   0.65935710  -5.2341334   2.5793114  -3.39296882
## 403   3.26520419  -1.8506943   0.65935710  -5.2341334   2.5793114  -3.39296882
## 404   3.26520419  -1.8506943   0.65935710  -5.2341334   2.5793114  -3.39296882
## 405   3.26520419  -1.8506943   0.65935710  -5.2341334   2.5793114  -3.39296882
## 406   3.26520419  -1.8506943   0.65935710  -5.2341334   2.5793114  -3.39296882
## 407   3.26520419  -1.8506943   0.65935710  -5.2341334   2.5793114  -3.39296882
## 408   3.26520419  -1.8506943   0.65935710  -5.2341334   2.5793114  -3.39296882
## 409   5.15524968   1.4142954 -17.69313513  -3.4354354  12.2316374   5.00821976
## 410   5.15524968   1.4142954 -17.69313513  -3.4354354  12.2316374   5.00821976
## 411   5.15524968   1.4142954 -17.69313513  -3.4354354  12.2316374   5.00821976
## 412   5.15524968   1.4142954 -17.69313513  -3.4354354  12.2316374   5.00821976
## 413   5.15524968   1.4142954 -17.69313513  -3.4354354  12.2316374   5.00821976
## 414   5.15524968   1.4142954 -17.69313513  -3.4354354  12.2316374   5.00821976
## 415   5.15524968   1.4142954 -17.69313513  -3.4354354  12.2316374   5.00821976
## 416   5.15524968   1.4142954 -17.69313513  -3.4354354  12.2316374   5.00821976
## 417  18.50460069   2.3817499  27.84327838 -15.2712075   2.0288302 -37.66744007
## 418  18.50460069   2.3817499  27.84327838 -15.2712075   2.0288302 -37.66744007
## 419  18.50460069   2.3817499  27.84327838 -15.2712075   2.0288302 -37.66744007
## 420  18.50460069   2.3817499  27.84327838 -15.2712075   2.0288302 -37.66744007
## 421  18.50460069   2.3817499  27.84327838 -15.2712075   2.0288302 -37.66744007
## 422  18.50460069   2.3817499  27.84327838 -15.2712075   2.0288302 -37.66744007
## 423  18.50460069   2.3817499  27.84327838 -15.2712075   2.0288302 -37.66744007
## 424  18.50460069   2.3817499  27.84327838 -15.2712075   2.0288302 -37.66744007
## 425  -2.91699666   7.4407023   2.11018323   3.0081018   2.2454666   9.38441680
## 426  -2.91699666   7.4407023   2.11018323   3.0081018   2.2454666   9.38441680
## 427  -2.91699666   7.4407023   2.11018323   3.0081018   2.2454666   9.38441680
## 428  -2.91699666   7.4407023   2.11018323   3.0081018   2.2454666   9.38441680
## 429  -2.91699666   7.4407023   2.11018323   3.0081018   2.2454666   9.38441680
## 430  -2.91699666   7.4407023   2.11018323   3.0081018   2.2454666   9.38441680
## 431  -2.91699666   7.4407023   2.11018323   3.0081018   2.2454666   9.38441680
## 432  -2.91699666   7.4407023   2.11018323   3.0081018   2.2454666   9.38441680
## 433 -16.42924209   3.1876635  25.39034125   6.9767531 -27.2581920   5.14761817
## 434 -16.42924209   3.1876635  25.39034125   6.9767531 -27.2581920   5.14761817
## 435 -16.42924209   3.1876635  25.39034125   6.9767531 -27.2581920   5.14761817
## 436 -16.42924209   3.1876635  25.39034125   6.9767531 -27.2581920   5.14761817
## 437 -16.42924209   3.1876635  25.39034125   6.9767531 -27.2581920   5.14761817
## 438 -16.42924209   3.1876635  25.39034125   6.9767531 -27.2581920   5.14761817
## 439 -16.42924209   3.1876635  25.39034125   6.9767531 -27.2581920   5.14761817
## 440 -16.42924209   3.1876635  25.39034125   6.9767531 -27.2581920   5.14761817
## 441  -0.89472558   2.3247661   3.71579775  -3.3811516   0.2323418   0.46614154
## 442  -0.89472558   2.3247661   3.71579775  -3.3811516   0.2323418   0.46614154
## 443  -0.89472558   2.3247661   3.71579775  -3.3811516   0.2323418   0.46614154
## 444  -0.89472558   2.3247661   3.71579775  -3.3811516   0.2323418   0.46614154
## 445  -0.89472558   2.3247661   3.71579775  -3.3811516   0.2323418   0.46614154
## 446  -0.89472558   2.3247661   3.71579775  -3.3811516   0.2323418   0.46614154
## 447  -0.89472558   2.3247661   3.71579775  -3.3811516   0.2323418   0.46614154
## 448  -0.89472558   2.3247661   3.71579775  -3.3811516   0.2323418   0.46614154
## 449  40.28848108 -26.7480932 -27.44470646  31.4972330  -2.8597346 -51.95541349
## 450  40.28848108 -26.7480932 -27.44470646  31.4972330  -2.8597346 -51.95541349
## 451  40.28848108 -26.7480932 -27.44470646  31.4972330  -2.8597346 -51.95541349
## 452  40.28848108 -26.7480932 -27.44470646  31.4972330  -2.8597346 -51.95541349
## 453  40.28848108 -26.7480932 -27.44470646  31.4972330  -2.8597346 -51.95541349
## 454  40.28848108 -26.7480932 -27.44470646  31.4972330  -2.8597346 -51.95541349
## 455  40.28848108 -26.7480932 -27.44470646  31.4972330  -2.8597346 -51.95541349
## 456  40.28848108 -26.7480932 -27.44470646  31.4972330  -2.8597346 -51.95541349
## 457  -3.05929786   2.1335622  -9.63327134  -6.0389835   4.5062513  -6.13099395
## 458  -3.05929786   2.1335622  -9.63327134  -6.0389835   4.5062513  -6.13099395
## 459  -3.05929786   2.1335622  -9.63327134  -6.0389835   4.5062513  -6.13099395
## 460  -3.05929786   2.1335622  -9.63327134  -6.0389835   4.5062513  -6.13099395
## 461  -3.05929786   2.1335622  -9.63327134  -6.0389835   4.5062513  -6.13099395
## 462  -3.05929786   2.1335622  -9.63327134  -6.0389835   4.5062513  -6.13099395
## 463  -3.05929786   2.1335622  -9.63327134  -6.0389835   4.5062513  -6.13099395
## 464  -3.05929786   2.1335622  -9.63327134  -6.0389835   4.5062513  -6.13099395
## 465  -9.26563673  -1.5436557   8.79725123  -5.5396252  -4.2662139  -7.99921366
## 466  -9.26563673  -1.5436557   8.79725123  -5.5396252  -4.2662139  -7.99921366
## 467  -9.26563673  -1.5436557   8.79725123  -5.5396252  -4.2662139  -7.99921366
## 468  -9.26563673  -1.5436557   8.79725123  -5.5396252  -4.2662139  -7.99921366
## 469  -9.26563673  -1.5436557   8.79725123  -5.5396252  -4.2662139  -7.99921366
## 470  -9.26563673  -1.5436557   8.79725123  -5.5396252  -4.2662139  -7.99921366
## 471  -9.26563673  -1.5436557   8.79725123  -5.5396252  -4.2662139  -7.99921366
## 472  -9.26563673  -1.5436557   8.79725123  -5.5396252  -4.2662139  -7.99921366
## 473   0.26410646  -2.4154210   8.64741884  -0.1562561  -1.2963100  -0.29558184
## 474   0.26410646  -2.4154210   8.64741884  -0.1562561  -1.2963100  -0.29558184
## 475   0.26410646  -2.4154210   8.64741884  -0.1562561  -1.2963100  -0.29558184
## 476   0.26410646  -2.4154210   8.64741884  -0.1562561  -1.2963100  -0.29558184
## 477   0.26410646  -2.4154210   8.64741884  -0.1562561  -1.2963100  -0.29558184
## 478   0.26410646  -2.4154210   8.64741884  -0.1562561  -1.2963100  -0.29558184
## 479   0.26410646  -2.4154210   8.64741884  -0.1562561  -1.2963100  -0.29558184
## 480   0.26410646  -2.4154210   8.64741884  -0.1562561  -1.2963100  -0.29558184
## 481   0.09085834  -1.5087907  -4.67705298  -0.5975206   0.3306274   2.27110988
## 482   0.09085834  -1.5087907  -4.67705298  -0.5975206   0.3306274   2.27110988
## 483   0.09085834  -1.5087907  -4.67705298  -0.5975206   0.3306274   2.27110988
## 484   0.09085834  -1.5087907  -4.67705298  -0.5975206   0.3306274   2.27110988
## 485   0.09085834  -1.5087907  -4.67705298  -0.5975206   0.3306274   2.27110988
## 486   0.09085834  -1.5087907  -4.67705298  -0.5975206   0.3306274   2.27110988
## 487   0.09085834  -1.5087907  -4.67705298  -0.5975206   0.3306274   2.27110988
## 488   0.09085834  -1.5087907  -4.67705298  -0.5975206   0.3306274   2.27110988
## 489   0.01454329  -1.6982717  -0.19891402   0.9507481   1.6843894   1.84749831
## 490   0.01454329  -1.6982717  -0.19891402   0.9507481   1.6843894   1.84749831
## 491   0.01454329  -1.6982717  -0.19891402   0.9507481   1.6843894   1.84749831
## 492   0.01454329  -1.6982717  -0.19891402   0.9507481   1.6843894   1.84749831
## 493   0.01454329  -1.6982717  -0.19891402   0.9507481   1.6843894   1.84749831
## 494   0.01454329  -1.6982717  -0.19891402   0.9507481   1.6843894   1.84749831
## 495   0.01454329  -1.6982717  -0.19891402   0.9507481   1.6843894   1.84749831
## 496   0.01454329  -1.6982717  -0.19891402   0.9507481   1.6843894   1.84749831
## 497 -27.70441867  10.8890191   3.03304573  10.8473503  16.4085388   5.17186395
## 498 -27.70441867  10.8890191   3.03304573  10.8473503  16.4085388   5.17186395
## 499 -27.70441867  10.8890191   3.03304573  10.8473503  16.4085388   5.17186395
## 500 -27.70441867  10.8890191   3.03304573  10.8473503  16.4085388   5.17186395
## 501 -27.70441867  10.8890191   3.03304573  10.8473503  16.4085388   5.17186395
## 502 -27.70441867  10.8890191   3.03304573  10.8473503  16.4085388   5.17186395
## 503 -27.70441867  10.8890191   3.03304573  10.8473503  16.4085388   5.17186395
## 504 -27.70441867  10.8890191   3.03304573  10.8473503  16.4085388   5.17186395
## 505   4.17197688  -1.7108397   6.23359374   3.5592454   1.1032514  -1.13866801
## 506   4.17197688  -1.7108397   6.23359374   3.5592454   1.1032514  -1.13866801
## 507   4.17197688  -1.7108397   6.23359374   3.5592454   1.1032514  -1.13866801
## 508   4.17197688  -1.7108397   6.23359374   3.5592454   1.1032514  -1.13866801
## 509   4.17197688  -1.7108397   6.23359374   3.5592454   1.1032514  -1.13866801
## 510   4.17197688  -1.7108397   6.23359374   3.5592454   1.1032514  -1.13866801
## 511   4.17197688  -1.7108397   6.23359374   3.5592454   1.1032514  -1.13866801
## 512   4.17197688  -1.7108397   6.23359374   3.5592454   1.1032514  -1.13866801
## 513  -2.46206153   1.1757588  -1.66910246   2.9840992   2.8264663   6.99933764
## 514  -2.46206153   1.1757588  -1.66910246   2.9840992   2.8264663   6.99933764
## 515  -2.46206153   1.1757588  -1.66910246   2.9840992   2.8264663   6.99933764
## 516  -2.46206153   1.1757588  -1.66910246   2.9840992   2.8264663   6.99933764
## 517  -2.46206153   1.1757588  -1.66910246   2.9840992   2.8264663   6.99933764
## 518  -2.46206153   1.1757588  -1.66910246   2.9840992   2.8264663   6.99933764
## 519  -2.46206153   1.1757588  -1.66910246   2.9840992   2.8264663   6.99933764
## 520  -2.46206153   1.1757588  -1.66910246   2.9840992   2.8264663   6.99933764
## 521   7.39851887   1.2965234   9.84971321   5.5175444  10.0384010  -1.42327601
## 522   7.39851887   1.2965234   9.84971321   5.5175444  10.0384010  -1.42327601
## 523   7.39851887   1.2965234   9.84971321   5.5175444  10.0384010  -1.42327601
## 524   7.39851887   1.2965234   9.84971321   5.5175444  10.0384010  -1.42327601
## 525   7.39851887   1.2965234   9.84971321   5.5175444  10.0384010  -1.42327601
## 526   7.39851887   1.2965234   9.84971321   5.5175444  10.0384010  -1.42327601
## 527   7.39851887   1.2965234   9.84971321   5.5175444  10.0384010  -1.42327601
## 528   7.39851887   1.2965234   9.84971321   5.5175444  10.0384010  -1.42327601
## 529  -2.36660358   0.8867867   6.71817001   4.1642314  -1.6636691  -1.39080777
## 530  -2.36660358   0.8867867   6.71817001   4.1642314  -1.6636691  -1.39080777
## 531  -2.36660358   0.8867867   6.71817001   4.1642314  -1.6636691  -1.39080777
## 532  -2.36660358   0.8867867   6.71817001   4.1642314  -1.6636691  -1.39080777
## 533  -2.36660358   0.8867867   6.71817001   4.1642314  -1.6636691  -1.39080777
## 534  -2.36660358   0.8867867   6.71817001   4.1642314  -1.6636691  -1.39080777
## 535  -2.36660358   0.8867867   6.71817001   4.1642314  -1.6636691  -1.39080777
## 536  -2.36660358   0.8867867   6.71817001   4.1642314  -1.6636691  -1.39080777
## 537   9.16423324   7.7801670 -10.78990689  -1.0554430   1.0292671  -6.01244368
## 538   9.16423324   7.7801670 -10.78990689  -1.0554430   1.0292671  -6.01244368
## 539   9.16423324   7.7801670 -10.78990689  -1.0554430   1.0292671  -6.01244368
## 540   9.16423324   7.7801670 -10.78990689  -1.0554430   1.0292671  -6.01244368
## 541   9.16423324   7.7801670 -10.78990689  -1.0554430   1.0292671  -6.01244368
## 542   9.16423324   7.7801670 -10.78990689  -1.0554430   1.0292671  -6.01244368
## 543   9.16423324   7.7801670 -10.78990689  -1.0554430   1.0292671  -6.01244368
## 544   9.16423324   7.7801670 -10.78990689  -1.0554430   1.0292671  -6.01244368
## 545  -6.89725199  -2.5602011   4.59247310  -9.8102014  -1.9433630  -9.54071050
## 546  -6.89725199  -2.5602011   4.59247310  -9.8102014  -1.9433630  -9.54071050
## 547  -6.89725199  -2.5602011   4.59247310  -9.8102014  -1.9433630  -9.54071050
## 548  -6.89725199  -2.5602011   4.59247310  -9.8102014  -1.9433630  -9.54071050
## 549  -6.89725199  -2.5602011   4.59247310  -9.8102014  -1.9433630  -9.54071050
## 550  -6.89725199  -2.5602011   4.59247310  -9.8102014  -1.9433630  -9.54071050
## 551  -6.89725199  -2.5602011   4.59247310  -9.8102014  -1.9433630  -9.54071050
## 552  -6.89725199  -2.5602011   4.59247310  -9.8102014  -1.9433630  -9.54071050
## 553   0.36805737   0.3449831  -8.28368013  -2.8613380  -1.8022980   1.15343649
## 554   0.36805737   0.3449831  -8.28368013  -2.8613380  -1.8022980   1.15343649
## 555   0.36805737   0.3449831  -8.28368013  -2.8613380  -1.8022980   1.15343649
## 556   0.36805737   0.3449831  -8.28368013  -2.8613380  -1.8022980   1.15343649
## 557   0.36805737   0.3449831  -8.28368013  -2.8613380  -1.8022980   1.15343649
## 558   0.36805737   0.3449831  -8.28368013  -2.8613380  -1.8022980   1.15343649
## 559   0.36805737   0.3449831  -8.28368013  -2.8613380  -1.8022980   1.15343649
## 560   0.36805737   0.3449831  -8.28368013  -2.8613380  -1.8022980   1.15343649
## 561  -1.36684771  17.3167024  12.76846730  27.3627015 -34.8957812   0.99900274
## 562  -1.36684771  17.3167024  12.76846730  27.3627015 -34.8957812   0.99900274
## 563  -1.36684771  17.3167024  12.76846730  27.3627015 -34.8957812   0.99900274
## 564  -1.36684771  17.3167024  12.76846730  27.3627015 -34.8957812   0.99900274
## 565  -1.36684771  17.3167024  12.76846730  27.3627015 -34.8957812   0.99900274
## 566  -1.36684771  17.3167024  12.76846730  27.3627015 -34.8957812   0.99900274
## 567  -1.36684771  17.3167024  12.76846730  27.3627015 -34.8957812   0.99900274
## 568  -1.36684771  17.3167024  12.76846730  27.3627015 -34.8957812   0.99900274
## 569   1.01291953  -2.0039852  -4.92342726  -5.3390017  -7.0438389   1.57132824
## 570   1.01291953  -2.0039852  -4.92342726  -5.3390017  -7.0438389   1.57132824
## 571   1.01291953  -2.0039852  -4.92342726  -5.3390017  -7.0438389   1.57132824
## 572   1.01291953  -2.0039852  -4.92342726  -5.3390017  -7.0438389   1.57132824
## 573   1.01291953  -2.0039852  -4.92342726  -5.3390017  -7.0438389   1.57132824
## 574   1.01291953  -2.0039852  -4.92342726  -5.3390017  -7.0438389   1.57132824
## 575   1.01291953  -2.0039852  -4.92342726  -5.3390017  -7.0438389   1.57132824
## 576   1.01291953  -2.0039852  -4.92342726  -5.3390017  -7.0438389   1.57132824
## 577  14.62126812  17.2397480  -0.06248011   9.6842699   3.4233113  24.40626140
## 578  14.62126812  17.2397480  -0.06248011   9.6842699   3.4233113  24.40626140
## 579  14.62126812  17.2397480  -0.06248011   9.6842699   3.4233113  24.40626140
## 580  14.62126812  17.2397480  -0.06248011   9.6842699   3.4233113  24.40626140
## 581  14.62126812  17.2397480  -0.06248011   9.6842699   3.4233113  24.40626140
## 582  14.62126812  17.2397480  -0.06248011   9.6842699   3.4233113  24.40626140
## 583  14.62126812  17.2397480  -0.06248011   9.6842699   3.4233113  24.40626140
## 584  14.62126812  17.2397480  -0.06248011   9.6842699   3.4233113  24.40626140
## 585  -4.53718204  -0.4958390  -0.43536797   4.8410514   2.1548986   1.00273514
## 586  -4.53718204  -0.4958390  -0.43536797   4.8410514   2.1548986   1.00273514
## 587  -4.53718204  -0.4958390  -0.43536797   4.8410514   2.1548986   1.00273514
## 588  -4.53718204  -0.4958390  -0.43536797   4.8410514   2.1548986   1.00273514
## 589  -4.53718204  -0.4958390  -0.43536797   4.8410514   2.1548986   1.00273514
## 590  -4.53718204  -0.4958390  -0.43536797   4.8410514   2.1548986   1.00273514
## 591  -4.53718204  -0.4958390  -0.43536797   4.8410514   2.1548986   1.00273514
## 592  -4.53718204  -0.4958390  -0.43536797   4.8410514   2.1548986   1.00273514
## 593  -0.21141672  -2.2652172   1.38052853   2.0727199   1.8590479  -0.40261365
## 594  -0.21141672  -2.2652172   1.38052853   2.0727199   1.8590479  -0.40261365
## 595  -0.21141672  -2.2652172   1.38052853   2.0727199   1.8590479  -0.40261365
## 596  -0.21141672  -2.2652172   1.38052853   2.0727199   1.8590479  -0.40261365
## 597  -0.21141672  -2.2652172   1.38052853   2.0727199   1.8590479  -0.40261365
## 598  -0.21141672  -2.2652172   1.38052853   2.0727199   1.8590479  -0.40261365
## 599  -0.21141672  -2.2652172   1.38052853   2.0727199   1.8590479  -0.40261365
## 600  -0.21141672  -2.2652172   1.38052853   2.0727199   1.8590479  -0.40261365
## 601 -16.42758728  26.1120982   3.62251803   2.8085134  16.7377381 -22.65426694
## 602 -16.42758728  26.1120982   3.62251803   2.8085134  16.7377381 -22.65426694
## 603 -16.42758728  26.1120982   3.62251803   2.8085134  16.7377381 -22.65426694
## 604 -16.42758728  26.1120982   3.62251803   2.8085134  16.7377381 -22.65426694
## 605 -16.42758728  26.1120982   3.62251803   2.8085134  16.7377381 -22.65426694
## 606 -16.42758728  26.1120982   3.62251803   2.8085134  16.7377381 -22.65426694
## 607 -16.42758728  26.1120982   3.62251803   2.8085134  16.7377381 -22.65426694
## 608 -16.42758728  26.1120982   3.62251803   2.8085134  16.7377381 -22.65426694
## 609  17.15546647  -7.4603120   6.97579495  -3.3762277  -4.5196635  -0.94137798
## 610  17.15546647  -7.4603120   6.97579495  -3.3762277  -4.5196635  -0.94137798
## 611  17.15546647  -7.4603120   6.97579495  -3.3762277  -4.5196635  -0.94137798
## 612  17.15546647  -7.4603120   6.97579495  -3.3762277  -4.5196635  -0.94137798
## 613  17.15546647  -7.4603120   6.97579495  -3.3762277  -4.5196635  -0.94137798
## 614  17.15546647  -7.4603120   6.97579495  -3.3762277  -4.5196635  -0.94137798
## 615  17.15546647  -7.4603120   6.97579495  -3.3762277  -4.5196635  -0.94137798
## 616  17.15546647  -7.4603120   6.97579495  -3.3762277  -4.5196635  -0.94137798
## 617  -4.75194516   3.3205345 -15.63058993  -9.2285364   2.1443832   3.31505969
## 618  -4.75194516   3.3205345 -15.63058993  -9.2285364   2.1443832   3.31505969
## 619  -4.75194516   3.3205345 -15.63058993  -9.2285364   2.1443832   3.31505969
## 620  -4.75194516   3.3205345 -15.63058993  -9.2285364   2.1443832   3.31505969
## 621  -4.75194516   3.3205345 -15.63058993  -9.2285364   2.1443832   3.31505969
## 622  -4.75194516   3.3205345 -15.63058993  -9.2285364   2.1443832   3.31505969
## 623  -4.75194516   3.3205345 -15.63058993  -9.2285364   2.1443832   3.31505969
## 624  -4.75194516   3.3205345 -15.63058993  -9.2285364   2.1443832   3.31505969
## 625   8.24562219   0.3991036  -6.46953990  -3.8522097 -15.4902366  12.25329685
## 626   8.24562219   0.3991036  -6.46953990  -3.8522097 -15.4902366  12.25329685
## 627   8.24562219   0.3991036  -6.46953990  -3.8522097 -15.4902366  12.25329685
## 628   8.24562219   0.3991036  -6.46953990  -3.8522097 -15.4902366  12.25329685
## 629   8.24562219   0.3991036  -6.46953990  -3.8522097 -15.4902366  12.25329685
## 630   8.24562219   0.3991036  -6.46953990  -3.8522097 -15.4902366  12.25329685
## 631   8.24562219   0.3991036  -6.46953990  -3.8522097 -15.4902366  12.25329685
## 632   8.24562219   0.3991036  -6.46953990  -3.8522097 -15.4902366  12.25329685
## 633 -44.32058875 -12.7113506  -7.72311360 -64.7155169 -30.1658232 -24.94093404
## 634 -44.32058875 -12.7113506  -7.72311360 -64.7155169 -30.1658232 -24.94093404
## 635 -44.32058875 -12.7113506  -7.72311360 -64.7155169 -30.1658232 -24.94093404
## 636 -44.32058875 -12.7113506  -7.72311360 -64.7155169 -30.1658232 -24.94093404
## 637 -44.32058875 -12.7113506  -7.72311360 -64.7155169 -30.1658232 -24.94093404
## 638 -44.32058875 -12.7113506  -7.72311360 -64.7155169 -30.1658232 -24.94093404
## 639 -44.32058875 -12.7113506  -7.72311360 -64.7155169 -30.1658232 -24.94093404
## 640 -44.32058875 -12.7113506  -7.72311360 -64.7155169 -30.1658232 -24.94093404
## 641  -2.36482639  -1.2133334  -4.96339717  -1.5060087   6.0792691   1.20873487
## 642  -2.36482639  -1.2133334  -4.96339717  -1.5060087   6.0792691   1.20873487
## 643  -2.36482639  -1.2133334  -4.96339717  -1.5060087   6.0792691   1.20873487
## 644  -2.36482639  -1.2133334  -4.96339717  -1.5060087   6.0792691   1.20873487
## 645  -2.36482639  -1.2133334  -4.96339717  -1.5060087   6.0792691   1.20873487
## 646  -2.36482639  -1.2133334  -4.96339717  -1.5060087   6.0792691   1.20873487
## 647  -2.36482639  -1.2133334  -4.96339717  -1.5060087   6.0792691   1.20873487
## 648  -2.36482639  -1.2133334  -4.96339717  -1.5060087   6.0792691   1.20873487
## 649  -9.79851228   2.6060770 -13.16042736  24.5327234   0.0961011 -12.91713381
## 650  -9.79851228   2.6060770 -13.16042736  24.5327234   0.0961011 -12.91713381
## 651  -9.79851228   2.6060770 -13.16042736  24.5327234   0.0961011 -12.91713381
## 652  -9.79851228   2.6060770 -13.16042736  24.5327234   0.0961011 -12.91713381
## 653  -9.79851228   2.6060770 -13.16042736  24.5327234   0.0961011 -12.91713381
## 654  -9.79851228   2.6060770 -13.16042736  24.5327234   0.0961011 -12.91713381
## 655  -9.79851228   2.6060770 -13.16042736  24.5327234   0.0961011 -12.91713381
## 656  -9.79851228   2.6060770 -13.16042736  24.5327234   0.0961011 -12.91713381
## 657   1.02371033   2.3023967   6.42562381  -1.7312347  -0.9155250  -0.91434342
## 658   1.02371033   2.3023967   6.42562381  -1.7312347  -0.9155250  -0.91434342
## 659   1.02371033   2.3023967   6.42562381  -1.7312347  -0.9155250  -0.91434342
## 660   1.02371033   2.3023967   6.42562381  -1.7312347  -0.9155250  -0.91434342
## 661   1.02371033   2.3023967   6.42562381  -1.7312347  -0.9155250  -0.91434342
## 662   1.02371033   2.3023967   6.42562381  -1.7312347  -0.9155250  -0.91434342
## 663   1.02371033   2.3023967   6.42562381  -1.7312347  -0.9155250  -0.91434342
## 664   1.02371033   2.3023967   6.42562381  -1.7312347  -0.9155250  -0.91434342
## 665   3.22900838   0.7350085  -3.25559582   0.3835021  -3.8914944  -0.03752776
## 666   3.22900838   0.7350085  -3.25559582   0.3835021  -3.8914944  -0.03752776
## 667   3.22900838   0.7350085  -3.25559582   0.3835021  -3.8914944  -0.03752776
## 668   3.22900838   0.7350085  -3.25559582   0.3835021  -3.8914944  -0.03752776
## 669   3.22900838   0.7350085  -3.25559582   0.3835021  -3.8914944  -0.03752776
## 670   3.22900838   0.7350085  -3.25559582   0.3835021  -3.8914944  -0.03752776
## 671   3.22900838   0.7350085  -3.25559582   0.3835021  -3.8914944  -0.03752776
## 672   3.22900838   0.7350085  -3.25559582   0.3835021  -3.8914944  -0.03752776
## 673  -4.01383558  -4.4124422   8.08600744   3.7628052  -3.8479457  12.94573994
## 674  -4.01383558  -4.4124422   8.08600744   3.7628052  -3.8479457  12.94573994
## 675  -4.01383558  -4.4124422   8.08600744   3.7628052  -3.8479457  12.94573994
## 676  -4.01383558  -4.4124422   8.08600744   3.7628052  -3.8479457  12.94573994
## 677  -4.01383558  -4.4124422   8.08600744   3.7628052  -3.8479457  12.94573994
## 678  -4.01383558  -4.4124422   8.08600744   3.7628052  -3.8479457  12.94573994
## 679  -4.01383558  -4.4124422   8.08600744   3.7628052  -3.8479457  12.94573994
## 680  -4.01383558  -4.4124422   8.08600744   3.7628052  -3.8479457  12.94573994
## 681   4.33988890   4.9002306   1.84986043   2.8690055   0.6962239  -5.21443721
## 682   4.33988890   4.9002306   1.84986043   2.8690055   0.6962239  -5.21443721
## 683   4.33988890   4.9002306   1.84986043   2.8690055   0.6962239  -5.21443721
## 684   4.33988890   4.9002306   1.84986043   2.8690055   0.6962239  -5.21443721
## 685   4.33988890   4.9002306   1.84986043   2.8690055   0.6962239  -5.21443721
## 686   4.33988890   4.9002306   1.84986043   2.8690055   0.6962239  -5.21443721
## 687   4.33988890   4.9002306   1.84986043   2.8690055   0.6962239  -5.21443721
## 688   4.33988890   4.9002306   1.84986043   2.8690055   0.6962239  -5.21443721
## 689  -6.42678308   2.2808450   6.10229513 -14.2454923   1.0734262 -20.19567217
## 690  -6.42678308   2.2808450   6.10229513 -14.2454923   1.0734262 -20.19567217
## 691  -6.42678308   2.2808450   6.10229513 -14.2454923   1.0734262 -20.19567217
## 692  -6.42678308   2.2808450   6.10229513 -14.2454923   1.0734262 -20.19567217
## 693  -6.42678308   2.2808450   6.10229513 -14.2454923   1.0734262 -20.19567217
## 694  -6.42678308   2.2808450   6.10229513 -14.2454923   1.0734262 -20.19567217
## 695  -6.42678308   2.2808450   6.10229513 -14.2454923   1.0734262 -20.19567217
## 696  -6.42678308   2.2808450   6.10229513 -14.2454923   1.0734262 -20.19567217
## 697   4.48002129   3.3894781   5.47937456  -0.8062548   2.0992498   5.20646522
## 698   4.48002129   3.3894781   5.47937456  -0.8062548   2.0992498   5.20646522
## 699   4.48002129   3.3894781   5.47937456  -0.8062548   2.0992498   5.20646522
## 700   4.48002129   3.3894781   5.47937456  -0.8062548   2.0992498   5.20646522
## 701   4.48002129   3.3894781   5.47937456  -0.8062548   2.0992498   5.20646522
## 702   4.48002129   3.3894781   5.47937456  -0.8062548   2.0992498   5.20646522
## 703   4.48002129   3.3894781   5.47937456  -0.8062548   2.0992498   5.20646522
## 704   4.48002129   3.3894781   5.47937456  -0.8062548   2.0992498   5.20646522
## 705   4.77926020  -6.8995374  -0.95893365  -7.5898419   0.1647632  -4.13973696
## 706   4.77926020  -6.8995374  -0.95893365  -7.5898419   0.1647632  -4.13973696
## 707   4.77926020  -6.8995374  -0.95893365  -7.5898419   0.1647632  -4.13973696
## 708   4.77926020  -6.8995374  -0.95893365  -7.5898419   0.1647632  -4.13973696
## 709   4.77926020  -6.8995374  -0.95893365  -7.5898419   0.1647632  -4.13973696
## 710   4.77926020  -6.8995374  -0.95893365  -7.5898419   0.1647632  -4.13973696
## 711   4.77926020  -6.8995374  -0.95893365  -7.5898419   0.1647632  -4.13973696
## 712   4.77926020  -6.8995374  -0.95893365  -7.5898419   0.1647632  -4.13973696
## 713   0.51021188  14.4583858 -10.08261698  -0.2820225 -17.1214660  20.16429495
## 714   0.51021188  14.4583858 -10.08261698  -0.2820225 -17.1214660  20.16429495
## 715   0.51021188  14.4583858 -10.08261698  -0.2820225 -17.1214660  20.16429495
## 716   0.51021188  14.4583858 -10.08261698  -0.2820225 -17.1214660  20.16429495
## 717   0.51021188  14.4583858 -10.08261698  -0.2820225 -17.1214660  20.16429495
## 718   0.51021188  14.4583858 -10.08261698  -0.2820225 -17.1214660  20.16429495
## 719   0.51021188  14.4583858 -10.08261698  -0.2820225 -17.1214660  20.16429495
## 720   0.51021188  14.4583858 -10.08261698  -0.2820225 -17.1214660  20.16429495
## 721  41.20182225  38.4058391  10.86632506 -18.3182904 -36.7643481  26.11721658
## 722  41.20182225  38.4058391  10.86632506 -18.3182904 -36.7643481  26.11721658
## 723  41.20182225  38.4058391  10.86632506 -18.3182904 -36.7643481  26.11721658
## 724  41.20182225  38.4058391  10.86632506 -18.3182904 -36.7643481  26.11721658
## 725  41.20182225  38.4058391  10.86632506 -18.3182904 -36.7643481  26.11721658
## 726  41.20182225  38.4058391  10.86632506 -18.3182904 -36.7643481  26.11721658
## 727  41.20182225  38.4058391  10.86632506 -18.3182904 -36.7643481  26.11721658
## 728  41.20182225  38.4058391  10.86632506 -18.3182904 -36.7643481  26.11721658
## 729   0.94635620  -0.9287818  -0.08832294   1.1610778   0.7088975  -0.40148262
## 730   0.94635620  -0.9287818  -0.08832294   1.1610778   0.7088975  -0.40148262
## 731   0.94635620  -0.9287818  -0.08832294   1.1610778   0.7088975  -0.40148262
## 732   0.94635620  -0.9287818  -0.08832294   1.1610778   0.7088975  -0.40148262
## 733   0.94635620  -0.9287818  -0.08832294   1.1610778   0.7088975  -0.40148262
## 734   0.94635620  -0.9287818  -0.08832294   1.1610778   0.7088975  -0.40148262
## 735   0.94635620  -0.9287818  -0.08832294   1.1610778   0.7088975  -0.40148262
## 736   0.94635620  -0.9287818  -0.08832294   1.1610778   0.7088975  -0.40148262
## 737   7.59141546  -8.5136654  25.56496958 -38.3486471   8.8534174   8.18544153
## 738   7.59141546  -8.5136654  25.56496958 -38.3486471   8.8534174   8.18544153
## 739   7.59141546  -8.5136654  25.56496958 -38.3486471   8.8534174   8.18544153
## 740   7.59141546  -8.5136654  25.56496958 -38.3486471   8.8534174   8.18544153
## 741   7.59141546  -8.5136654  25.56496958 -38.3486471   8.8534174   8.18544153
## 742   7.59141546  -8.5136654  25.56496958 -38.3486471   8.8534174   8.18544153
## 743   7.59141546  -8.5136654  25.56496958 -38.3486471   8.8534174   8.18544153
## 744   7.59141546  -8.5136654  25.56496958 -38.3486471   8.8534174   8.18544153
## 745   9.17833677 -15.4139667   8.99973892   9.2624290 -32.2125442   8.48021645
## 746   9.17833677 -15.4139667   8.99973892   9.2624290 -32.2125442   8.48021645
## 747   9.17833677 -15.4139667   8.99973892   9.2624290 -32.2125442   8.48021645
## 748   9.17833677 -15.4139667   8.99973892   9.2624290 -32.2125442   8.48021645
## 749   9.17833677 -15.4139667   8.99973892   9.2624290 -32.2125442   8.48021645
## 750   9.17833677 -15.4139667   8.99973892   9.2624290 -32.2125442   8.48021645
## 751   9.17833677 -15.4139667   8.99973892   9.2624290 -32.2125442   8.48021645
## 752   9.17833677 -15.4139667   8.99973892   9.2624290 -32.2125442   8.48021645
## 753 -49.69174702  -5.2073531 -34.06799477  -9.7902210   0.5695930  -6.41181621
## 754 -49.69174702  -5.2073531 -34.06799477  -9.7902210   0.5695930  -6.41181621
## 755 -49.69174702  -5.2073531 -34.06799477  -9.7902210   0.5695930  -6.41181621
## 756 -49.69174702  -5.2073531 -34.06799477  -9.7902210   0.5695930  -6.41181621
## 757 -49.69174702  -5.2073531 -34.06799477  -9.7902210   0.5695930  -6.41181621
## 758 -49.69174702  -5.2073531 -34.06799477  -9.7902210   0.5695930  -6.41181621
## 759 -49.69174702  -5.2073531 -34.06799477  -9.7902210   0.5695930  -6.41181621
## 760 -49.69174702  -5.2073531 -34.06799477  -9.7902210   0.5695930  -6.41181621
## 761  -0.74657438   8.7399586 -15.19618014  21.3987520  -3.2261766   1.96691264
## 762  -0.74657438   8.7399586 -15.19618014  21.3987520  -3.2261766   1.96691264
## 763  -0.74657438   8.7399586 -15.19618014  21.3987520  -3.2261766   1.96691264
## 764  -0.74657438   8.7399586 -15.19618014  21.3987520  -3.2261766   1.96691264
## 765  -0.74657438   8.7399586 -15.19618014  21.3987520  -3.2261766   1.96691264
## 766  -0.74657438   8.7399586 -15.19618014  21.3987520  -3.2261766   1.96691264
## 767  -0.74657438   8.7399586 -15.19618014  21.3987520  -3.2261766   1.96691264
## 768  -0.74657438   8.7399586 -15.19618014  21.3987520  -3.2261766   1.96691264
## 769   2.51769706   0.6107515   2.87312237  -4.5704158   9.1924203  25.28560332
## 770   2.51769706   0.6107515   2.87312237  -4.5704158   9.1924203  25.28560332
## 771   2.51769706   0.6107515   2.87312237  -4.5704158   9.1924203  25.28560332
## 772   2.51769706   0.6107515   2.87312237  -4.5704158   9.1924203  25.28560332
## 773   2.51769706   0.6107515   2.87312237  -4.5704158   9.1924203  25.28560332
## 774   2.51769706   0.6107515   2.87312237  -4.5704158   9.1924203  25.28560332
## 775   2.51769706   0.6107515   2.87312237  -4.5704158   9.1924203  25.28560332
## 776   2.51769706   0.6107515   2.87312237  -4.5704158   9.1924203  25.28560332
## 777   3.31216994  -6.4118345   0.82805749  -5.8499419   9.0493295   2.21152334
## 778   3.31216994  -6.4118345   0.82805749  -5.8499419   9.0493295   2.21152334
## 779   3.31216994  -6.4118345   0.82805749  -5.8499419   9.0493295   2.21152334
## 780   3.31216994  -6.4118345   0.82805749  -5.8499419   9.0493295   2.21152334
## 781   3.31216994  -6.4118345   0.82805749  -5.8499419   9.0493295   2.21152334
## 782   3.31216994  -6.4118345   0.82805749  -5.8499419   9.0493295   2.21152334
## 783   3.31216994  -6.4118345   0.82805749  -5.8499419   9.0493295   2.21152334
## 784   3.31216994  -6.4118345   0.82805749  -5.8499419   9.0493295   2.21152334
## 785  -0.16147849  -0.5780999  -1.24237859   0.1330486  -3.5533402  -1.20111830
## 786  -0.16147849  -0.5780999  -1.24237859   0.1330486  -3.5533402  -1.20111830
## 787  -0.16147849  -0.5780999  -1.24237859   0.1330486  -3.5533402  -1.20111830
## 788  -0.16147849  -0.5780999  -1.24237859   0.1330486  -3.5533402  -1.20111830
## 789  -0.16147849  -0.5780999  -1.24237859   0.1330486  -3.5533402  -1.20111830
## 790  -0.16147849  -0.5780999  -1.24237859   0.1330486  -3.5533402  -1.20111830
## 791  -0.16147849  -0.5780999  -1.24237859   0.1330486  -3.5533402  -1.20111830
## 792  -0.16147849  -0.5780999  -1.24237859   0.1330486  -3.5533402  -1.20111830
## 793   3.40776056   2.8767847  -4.94585507   4.4571905   1.4523265  -3.94288917
## 794   3.40776056   2.8767847  -4.94585507   4.4571905   1.4523265  -3.94288917
## 795   3.40776056   2.8767847  -4.94585507   4.4571905   1.4523265  -3.94288917
## 796   3.40776056   2.8767847  -4.94585507   4.4571905   1.4523265  -3.94288917
## 797   3.40776056   2.8767847  -4.94585507   4.4571905   1.4523265  -3.94288917
## 798   3.40776056   2.8767847  -4.94585507   4.4571905   1.4523265  -3.94288917
## 799   3.40776056   2.8767847  -4.94585507   4.4571905   1.4523265  -3.94288917
##       PC87_score   PC88_score  PC89_score   PC90_score   PC91_score
## 1     2.12481704  22.23381805 -10.5750638  -5.02834747 -14.20574073
## 2     2.12481704  22.23381805 -10.5750638  -5.02834747 -14.20574073
## 3     2.12481704  22.23381805 -10.5750638  -5.02834747 -14.20574073
## 4     2.12481704  22.23381805 -10.5750638  -5.02834747 -14.20574073
## 5     2.12481704  22.23381805 -10.5750638  -5.02834747 -14.20574073
## 6     2.12481704  22.23381805 -10.5750638  -5.02834747 -14.20574073
## 7     2.12481704  22.23381805 -10.5750638  -5.02834747 -14.20574073
## 8     2.12481704  22.23381805 -10.5750638  -5.02834747 -14.20574073
## 9     2.92748842   9.03150365   0.1307694  -3.03880083 -10.85100132
## 10    2.92748842   9.03150365   0.1307694  -3.03880083 -10.85100132
## 11    2.92748842   9.03150365   0.1307694  -3.03880083 -10.85100132
## 12    2.92748842   9.03150365   0.1307694  -3.03880083 -10.85100132
## 13    2.92748842   9.03150365   0.1307694  -3.03880083 -10.85100132
## 14    2.92748842   9.03150365   0.1307694  -3.03880083 -10.85100132
## 15    2.92748842   9.03150365   0.1307694  -3.03880083 -10.85100132
## 16    2.92748842   9.03150365   0.1307694  -3.03880083 -10.85100132
## 17   -1.94531011   0.35922888  -1.0302025  -0.67035964   2.96228841
## 18   -1.94531011   0.35922888  -1.0302025  -0.67035964   2.96228841
## 19   -1.94531011   0.35922888  -1.0302025  -0.67035964   2.96228841
## 20   -1.94531011   0.35922888  -1.0302025  -0.67035964   2.96228841
## 21   -1.94531011   0.35922888  -1.0302025  -0.67035964   2.96228841
## 22   -1.94531011   0.35922888  -1.0302025  -0.67035964   2.96228841
## 23   -1.94531011   0.35922888  -1.0302025  -0.67035964   2.96228841
## 24   -1.94531011   0.35922888  -1.0302025  -0.67035964   2.96228841
## 25   -8.66999005   2.07482618   1.1525453   6.68322590   7.88893203
## 26   -8.66999005   2.07482618   1.1525453   6.68322590   7.88893203
## 27   -8.66999005   2.07482618   1.1525453   6.68322590   7.88893203
## 28   -8.66999005   2.07482618   1.1525453   6.68322590   7.88893203
## 29   -8.66999005   2.07482618   1.1525453   6.68322590   7.88893203
## 30   -8.66999005   2.07482618   1.1525453   6.68322590   7.88893203
## 31   -8.66999005   2.07482618   1.1525453   6.68322590   7.88893203
## 32   -8.66999005   2.07482618   1.1525453   6.68322590   7.88893203
## 33   -4.88398245  -9.05020449   3.3787795  -3.40537036  -4.33532071
## 34   -4.88398245  -9.05020449   3.3787795  -3.40537036  -4.33532071
## 35   -4.88398245  -9.05020449   3.3787795  -3.40537036  -4.33532071
## 36   -4.88398245  -9.05020449   3.3787795  -3.40537036  -4.33532071
## 37   -4.88398245  -9.05020449   3.3787795  -3.40537036  -4.33532071
## 38   -4.88398245  -9.05020449   3.3787795  -3.40537036  -4.33532071
## 39   -4.88398245  -9.05020449   3.3787795  -3.40537036  -4.33532071
## 40   -4.88398245  -9.05020449   3.3787795  -3.40537036  -4.33532071
## 41    3.03683608  -0.38797484   0.5803625  -8.69260638 -13.66909426
## 42    3.03683608  -0.38797484   0.5803625  -8.69260638 -13.66909426
## 43    3.03683608  -0.38797484   0.5803625  -8.69260638 -13.66909426
## 44    3.03683608  -0.38797484   0.5803625  -8.69260638 -13.66909426
## 45    3.03683608  -0.38797484   0.5803625  -8.69260638 -13.66909426
## 46    3.03683608  -0.38797484   0.5803625  -8.69260638 -13.66909426
## 47    3.03683608  -0.38797484   0.5803625  -8.69260638 -13.66909426
## 48    3.03683608  -0.38797484   0.5803625  -8.69260638 -13.66909426
## 49    4.26419544  -0.31661369   2.6262262   2.04663968   0.57822068
## 50    4.26419544  -0.31661369   2.6262262   2.04663968   0.57822068
## 51    4.26419544  -0.31661369   2.6262262   2.04663968   0.57822068
## 52    4.26419544  -0.31661369   2.6262262   2.04663968   0.57822068
## 53    4.26419544  -0.31661369   2.6262262   2.04663968   0.57822068
## 54    4.26419544  -0.31661369   2.6262262   2.04663968   0.57822068
## 55    4.26419544  -0.31661369   2.6262262   2.04663968   0.57822068
## 56    4.26419544  -0.31661369   2.6262262   2.04663968   0.57822068
## 57  -12.30453254   5.49796469  -0.5531470  -0.95364116   0.73069029
## 58  -12.30453254   5.49796469  -0.5531470  -0.95364116   0.73069029
## 59  -12.30453254   5.49796469  -0.5531470  -0.95364116   0.73069029
## 60  -12.30453254   5.49796469  -0.5531470  -0.95364116   0.73069029
## 61  -12.30453254   5.49796469  -0.5531470  -0.95364116   0.73069029
## 62  -12.30453254   5.49796469  -0.5531470  -0.95364116   0.73069029
## 63  -12.30453254   5.49796469  -0.5531470  -0.95364116   0.73069029
## 64  -12.30453254   5.49796469  -0.5531470  -0.95364116   0.73069029
## 65   -0.72164716  -4.12736314  -3.5758640   2.93494412  -1.15337441
## 66   -0.72164716  -4.12736314  -3.5758640   2.93494412  -1.15337441
## 67   -0.72164716  -4.12736314  -3.5758640   2.93494412  -1.15337441
## 68   -0.72164716  -4.12736314  -3.5758640   2.93494412  -1.15337441
## 69   -0.72164716  -4.12736314  -3.5758640   2.93494412  -1.15337441
## 70   -0.72164716  -4.12736314  -3.5758640   2.93494412  -1.15337441
## 71   -0.72164716  -4.12736314  -3.5758640   2.93494412  -1.15337441
## 72   -0.72164716  -4.12736314  -3.5758640   2.93494412  -1.15337441
## 73   -4.54818239  -1.80152312  -0.6561219   1.53201196  -1.56333516
## 74   -4.54818239  -1.80152312  -0.6561219   1.53201196  -1.56333516
## 75   -4.54818239  -1.80152312  -0.6561219   1.53201196  -1.56333516
## 76   -4.54818239  -1.80152312  -0.6561219   1.53201196  -1.56333516
## 77   -4.54818239  -1.80152312  -0.6561219   1.53201196  -1.56333516
## 78   -4.54818239  -1.80152312  -0.6561219   1.53201196  -1.56333516
## 79   -4.54818239  -1.80152312  -0.6561219   1.53201196  -1.56333516
## 80   -4.54818239  -1.80152312  -0.6561219   1.53201196  -1.56333516
## 81   43.53553320  -3.08558278   8.9735374   2.04989991  -5.22003683
## 82   43.53553320  -3.08558278   8.9735374   2.04989991  -5.22003683
## 83   43.53553320  -3.08558278   8.9735374   2.04989991  -5.22003683
## 84   43.53553320  -3.08558278   8.9735374   2.04989991  -5.22003683
## 85   43.53553320  -3.08558278   8.9735374   2.04989991  -5.22003683
## 86   43.53553320  -3.08558278   8.9735374   2.04989991  -5.22003683
## 87   43.53553320  -3.08558278   8.9735374   2.04989991  -5.22003683
## 88   43.53553320  -3.08558278   8.9735374   2.04989991  -5.22003683
## 89    0.40134497   2.52193450  -6.4655498  -3.46741011  -2.99980276
## 90    0.40134497   2.52193450  -6.4655498  -3.46741011  -2.99980276
## 91    0.40134497   2.52193450  -6.4655498  -3.46741011  -2.99980276
## 92    0.40134497   2.52193450  -6.4655498  -3.46741011  -2.99980276
## 93    0.40134497   2.52193450  -6.4655498  -3.46741011  -2.99980276
## 94    0.40134497   2.52193450  -6.4655498  -3.46741011  -2.99980276
## 95    0.40134497   2.52193450  -6.4655498  -3.46741011  -2.99980276
## 96    0.40134497   2.52193450  -6.4655498  -3.46741011  -2.99980276
## 97   -0.40931369  -3.86346277   5.0590912  -1.93718264  11.36963799
## 98   -0.40931369  -3.86346277   5.0590912  -1.93718264  11.36963799
## 99   -0.40931369  -3.86346277   5.0590912  -1.93718264  11.36963799
## 100  -0.40931369  -3.86346277   5.0590912  -1.93718264  11.36963799
## 101  -0.40931369  -3.86346277   5.0590912  -1.93718264  11.36963799
## 102  -0.40931369  -3.86346277   5.0590912  -1.93718264  11.36963799
## 103  -0.40931369  -3.86346277   5.0590912  -1.93718264  11.36963799
## 104  -0.40931369  -3.86346277   5.0590912  -1.93718264  11.36963799
## 105  10.36503759 -42.17641979 -17.9699085 -22.07804457 -21.51884052
## 106  10.36503759 -42.17641979 -17.9699085 -22.07804457 -21.51884052
## 107  10.36503759 -42.17641979 -17.9699085 -22.07804457 -21.51884052
## 108  10.36503759 -42.17641979 -17.9699085 -22.07804457 -21.51884052
## 109  10.36503759 -42.17641979 -17.9699085 -22.07804457 -21.51884052
## 110  10.36503759 -42.17641979 -17.9699085 -22.07804457 -21.51884052
## 111  10.36503759 -42.17641979 -17.9699085 -22.07804457 -21.51884052
## 112  10.36503759 -42.17641979 -17.9699085 -22.07804457 -21.51884052
## 113  -0.17934216  -5.70687574  -0.3954329  -0.34082370   3.69389447
## 114  -0.17934216  -5.70687574  -0.3954329  -0.34082370   3.69389447
## 115  -0.17934216  -5.70687574  -0.3954329  -0.34082370   3.69389447
## 116  -0.17934216  -5.70687574  -0.3954329  -0.34082370   3.69389447
## 117  -0.17934216  -5.70687574  -0.3954329  -0.34082370   3.69389447
## 118  -0.17934216  -5.70687574  -0.3954329  -0.34082370   3.69389447
## 119  -0.17934216  -5.70687574  -0.3954329  -0.34082370   3.69389447
## 120  -0.17934216  -5.70687574  -0.3954329  -0.34082370   3.69389447
## 121   4.58378878  -2.50668351  -5.2473524  -3.69757029   0.92593320
## 122   4.58378878  -2.50668351  -5.2473524  -3.69757029   0.92593320
## 123   4.58378878  -2.50668351  -5.2473524  -3.69757029   0.92593320
## 124   4.58378878  -2.50668351  -5.2473524  -3.69757029   0.92593320
## 125   4.58378878  -2.50668351  -5.2473524  -3.69757029   0.92593320
## 126   4.58378878  -2.50668351  -5.2473524  -3.69757029   0.92593320
## 127   4.58378878  -2.50668351  -5.2473524  -3.69757029   0.92593320
## 128   4.58378878  -2.50668351  -5.2473524  -3.69757029   0.92593320
## 129 -24.89982305  -5.10302888  -8.9684292   4.18858730  -3.73334638
## 130 -24.89982305  -5.10302888  -8.9684292   4.18858730  -3.73334638
## 131 -24.89982305  -5.10302888  -8.9684292   4.18858730  -3.73334638
## 132 -24.89982305  -5.10302888  -8.9684292   4.18858730  -3.73334638
## 133 -24.89982305  -5.10302888  -8.9684292   4.18858730  -3.73334638
## 134 -24.89982305  -5.10302888  -8.9684292   4.18858730  -3.73334638
## 135 -24.89982305  -5.10302888  -8.9684292   4.18858730  -3.73334638
## 136 -24.89982305  -5.10302888  -8.9684292   4.18858730  -3.73334638
## 137   0.04017312  -0.04062595  -0.7254851   0.15592969   2.49933505
## 138   0.04017312  -0.04062595  -0.7254851   0.15592969   2.49933505
## 139   0.04017312  -0.04062595  -0.7254851   0.15592969   2.49933505
## 140   0.04017312  -0.04062595  -0.7254851   0.15592969   2.49933505
## 141   0.04017312  -0.04062595  -0.7254851   0.15592969   2.49933505
## 142   0.04017312  -0.04062595  -0.7254851   0.15592969   2.49933505
## 143   0.04017312  -0.04062595  -0.7254851   0.15592969   2.49933505
## 144   0.04017312  -0.04062595  -0.7254851   0.15592969   2.49933505
## 145  -2.85654624  -5.40787568   9.2979607  -3.42312107   5.13562173
## 146  -2.85654624  -5.40787568   9.2979607  -3.42312107   5.13562173
## 147  -2.85654624  -5.40787568   9.2979607  -3.42312107   5.13562173
## 148  -2.85654624  -5.40787568   9.2979607  -3.42312107   5.13562173
## 149  -2.85654624  -5.40787568   9.2979607  -3.42312107   5.13562173
## 150  -2.85654624  -5.40787568   9.2979607  -3.42312107   5.13562173
## 151  -2.85654624  -5.40787568   9.2979607  -3.42312107   5.13562173
## 152  -2.85654624  -5.40787568   9.2979607  -3.42312107   5.13562173
## 153  -5.01157000   0.85286260  -1.2214183   0.10261680   1.36451498
## 154  -5.01157000   0.85286260  -1.2214183   0.10261680   1.36451498
## 155  -5.01157000   0.85286260  -1.2214183   0.10261680   1.36451498
## 156  -5.01157000   0.85286260  -1.2214183   0.10261680   1.36451498
## 157  -5.01157000   0.85286260  -1.2214183   0.10261680   1.36451498
## 158  -5.01157000   0.85286260  -1.2214183   0.10261680   1.36451498
## 159  -5.01157000   0.85286260  -1.2214183   0.10261680   1.36451498
## 160  -5.01157000   0.85286260  -1.2214183   0.10261680   1.36451498
## 161 -15.68535043  12.08145869   0.4947857 -22.21023911  11.28994990
## 162 -15.68535043  12.08145869   0.4947857 -22.21023911  11.28994990
## 163 -15.68535043  12.08145869   0.4947857 -22.21023911  11.28994990
## 164 -15.68535043  12.08145869   0.4947857 -22.21023911  11.28994990
## 165 -15.68535043  12.08145869   0.4947857 -22.21023911  11.28994990
## 166 -15.68535043  12.08145869   0.4947857 -22.21023911  11.28994990
## 167 -15.68535043  12.08145869   0.4947857 -22.21023911  11.28994990
## 168 -15.68535043  12.08145869   0.4947857 -22.21023911  11.28994990
## 169   5.14039846  -1.63876891   2.8607062  11.39335385  -4.90760741
## 170   5.14039846  -1.63876891   2.8607062  11.39335385  -4.90760741
## 171   5.14039846  -1.63876891   2.8607062  11.39335385  -4.90760741
## 172   5.14039846  -1.63876891   2.8607062  11.39335385  -4.90760741
## 173   5.14039846  -1.63876891   2.8607062  11.39335385  -4.90760741
## 174   5.14039846  -1.63876891   2.8607062  11.39335385  -4.90760741
## 175   5.14039846  -1.63876891   2.8607062  11.39335385  -4.90760741
## 176   5.14039846  -1.63876891   2.8607062  11.39335385  -4.90760741
## 177  -3.12503077 -13.44601984  -9.4862720   4.18462712  -4.37108620
## 178  -3.12503077 -13.44601984  -9.4862720   4.18462712  -4.37108620
## 179  -3.12503077 -13.44601984  -9.4862720   4.18462712  -4.37108620
## 180  -3.12503077 -13.44601984  -9.4862720   4.18462712  -4.37108620
## 181  -3.12503077 -13.44601984  -9.4862720   4.18462712  -4.37108620
## 182  -3.12503077 -13.44601984  -9.4862720   4.18462712  -4.37108620
## 183  -3.12503077 -13.44601984  -9.4862720   4.18462712  -4.37108620
## 184  -3.12503077 -13.44601984  -9.4862720   4.18462712  -4.37108620
## 185  -1.48837072   2.57725393  -1.1800646  -2.72813865   3.93732579
## 186  -1.48837072   2.57725393  -1.1800646  -2.72813865   3.93732579
## 187  -1.48837072   2.57725393  -1.1800646  -2.72813865   3.93732579
## 188  -1.48837072   2.57725393  -1.1800646  -2.72813865   3.93732579
## 189  -1.48837072   2.57725393  -1.1800646  -2.72813865   3.93732579
## 190  -1.48837072   2.57725393  -1.1800646  -2.72813865   3.93732579
## 191  -1.48837072   2.57725393  -1.1800646  -2.72813865   3.93732579
## 192  -1.48837072   2.57725393  -1.1800646  -2.72813865   3.93732579
## 193   7.64498166   0.22633969   0.5328764   4.79607796  -2.47007784
## 194   7.64498166   0.22633969   0.5328764   4.79607796  -2.47007784
## 195   7.64498166   0.22633969   0.5328764   4.79607796  -2.47007784
## 196   7.64498166   0.22633969   0.5328764   4.79607796  -2.47007784
## 197   7.64498166   0.22633969   0.5328764   4.79607796  -2.47007784
## 198   7.64498166   0.22633969   0.5328764   4.79607796  -2.47007784
## 199   7.64498166   0.22633969   0.5328764   4.79607796  -2.47007784
## 200   7.64498166   0.22633969   0.5328764   4.79607796  -2.47007784
## 201   1.49091719  -5.87575044   2.5430077   3.11649127   0.04402103
## 202   1.49091719  -5.87575044   2.5430077   3.11649127   0.04402103
## 203   1.49091719  -5.87575044   2.5430077   3.11649127   0.04402103
## 204   1.49091719  -5.87575044   2.5430077   3.11649127   0.04402103
## 205   1.49091719  -5.87575044   2.5430077   3.11649127   0.04402103
## 206   1.49091719  -5.87575044   2.5430077   3.11649127   0.04402103
## 207   1.49091719  -5.87575044   2.5430077   3.11649127   0.04402103
## 208   1.49091719  -5.87575044   2.5430077   3.11649127   0.04402103
## 209  -2.28919226   3.38331382  -0.3509164   0.37362854   0.03953667
## 210  -2.28919226   3.38331382  -0.3509164   0.37362854   0.03953667
## 211  -2.28919226   3.38331382  -0.3509164   0.37362854   0.03953667
## 212  -2.28919226   3.38331382  -0.3509164   0.37362854   0.03953667
## 213  -2.28919226   3.38331382  -0.3509164   0.37362854   0.03953667
## 214  -2.28919226   3.38331382  -0.3509164   0.37362854   0.03953667
## 215  -2.28919226   3.38331382  -0.3509164   0.37362854   0.03953667
## 216  -2.28919226   3.38331382  -0.3509164   0.37362854   0.03953667
## 217   0.30224230   0.36993508   0.7630429   0.14738424  -1.12462040
## 218   0.30224230   0.36993508   0.7630429   0.14738424  -1.12462040
## 219   0.30224230   0.36993508   0.7630429   0.14738424  -1.12462040
## 220   0.30224230   0.36993508   0.7630429   0.14738424  -1.12462040
## 221   0.30224230   0.36993508   0.7630429   0.14738424  -1.12462040
## 222   0.30224230   0.36993508   0.7630429   0.14738424  -1.12462040
## 223   0.30224230   0.36993508   0.7630429   0.14738424  -1.12462040
## 224   0.30224230   0.36993508   0.7630429   0.14738424  -1.12462040
## 225  -4.37598199   8.25067182   2.9584784   9.20067175  -4.83433546
## 226  -4.37598199   8.25067182   2.9584784   9.20067175  -4.83433546
## 227  -4.37598199   8.25067182   2.9584784   9.20067175  -4.83433546
## 228  -4.37598199   8.25067182   2.9584784   9.20067175  -4.83433546
## 229  -4.37598199   8.25067182   2.9584784   9.20067175  -4.83433546
## 230  -4.37598199   8.25067182   2.9584784   9.20067175  -4.83433546
## 231  -4.37598199   8.25067182   2.9584784   9.20067175  -4.83433546
## 232  -4.37598199   8.25067182   2.9584784   9.20067175  -4.83433546
## 233  -0.37661437   2.52348983   3.0083432   2.60663901  -1.59553327
## 234  -0.37661437   2.52348983   3.0083432   2.60663901  -1.59553327
## 235  -0.37661437   2.52348983   3.0083432   2.60663901  -1.59553327
## 236  -0.37661437   2.52348983   3.0083432   2.60663901  -1.59553327
## 237  -0.37661437   2.52348983   3.0083432   2.60663901  -1.59553327
## 238  -0.37661437   2.52348983   3.0083432   2.60663901  -1.59553327
## 239  -0.37661437   2.52348983   3.0083432   2.60663901  -1.59553327
## 240  -0.37661437   2.52348983   3.0083432   2.60663901  -1.59553327
## 241   6.33743076  16.35986082   9.9348207  -0.55814353  -1.71899453
## 242   6.33743076  16.35986082   9.9348207  -0.55814353  -1.71899453
## 243   6.33743076  16.35986082   9.9348207  -0.55814353  -1.71899453
## 244   6.33743076  16.35986082   9.9348207  -0.55814353  -1.71899453
## 245   6.33743076  16.35986082   9.9348207  -0.55814353  -1.71899453
## 246   6.33743076  16.35986082   9.9348207  -0.55814353  -1.71899453
## 247   6.33743076  16.35986082   9.9348207  -0.55814353  -1.71899453
## 248   6.33743076  16.35986082   9.9348207  -0.55814353  -1.71899453
## 249  31.44020200  11.59937248  15.4470377 -11.61313433  12.43292978
## 250  31.44020200  11.59937248  15.4470377 -11.61313433  12.43292978
## 251  31.44020200  11.59937248  15.4470377 -11.61313433  12.43292978
## 252  31.44020200  11.59937248  15.4470377 -11.61313433  12.43292978
## 253  31.44020200  11.59937248  15.4470377 -11.61313433  12.43292978
## 254  31.44020200  11.59937248  15.4470377 -11.61313433  12.43292978
## 255  31.44020200  11.59937248  15.4470377 -11.61313433  12.43292978
## 256  31.44020200  11.59937248  15.4470377 -11.61313433  12.43292978
## 257  -3.48465325  16.02515166 -10.2206420  24.21493251 -19.64149989
## 258  -3.48465325  16.02515166 -10.2206420  24.21493251 -19.64149989
## 259  -3.48465325  16.02515166 -10.2206420  24.21493251 -19.64149989
## 260  -3.48465325  16.02515166 -10.2206420  24.21493251 -19.64149989
## 261  -3.48465325  16.02515166 -10.2206420  24.21493251 -19.64149989
## 262  -3.48465325  16.02515166 -10.2206420  24.21493251 -19.64149989
## 263  -3.48465325  16.02515166 -10.2206420  24.21493251 -19.64149989
## 264  -3.48465325  16.02515166 -10.2206420  24.21493251 -19.64149989
## 265   9.10757209  -9.30766554  13.6700706   3.13213606  -3.19337659
## 266   9.10757209  -9.30766554  13.6700706   3.13213606  -3.19337659
## 267   9.10757209  -9.30766554  13.6700706   3.13213606  -3.19337659
## 268   9.10757209  -9.30766554  13.6700706   3.13213606  -3.19337659
## 269   9.10757209  -9.30766554  13.6700706   3.13213606  -3.19337659
## 270   9.10757209  -9.30766554  13.6700706   3.13213606  -3.19337659
## 271   9.10757209  -9.30766554  13.6700706   3.13213606  -3.19337659
## 272   9.10757209  -9.30766554  13.6700706   3.13213606  -3.19337659
## 273  -5.12413552   4.47828596   4.0032769  10.28836100  -6.36969335
## 274  -5.12413552   4.47828596   4.0032769  10.28836100  -6.36969335
## 275  -5.12413552   4.47828596   4.0032769  10.28836100  -6.36969335
## 276  -5.12413552   4.47828596   4.0032769  10.28836100  -6.36969335
## 277  -5.12413552   4.47828596   4.0032769  10.28836100  -6.36969335
## 278  -5.12413552   4.47828596   4.0032769  10.28836100  -6.36969335
## 279  -5.12413552   4.47828596   4.0032769  10.28836100  -6.36969335
## 280  -5.12413552   4.47828596   4.0032769  10.28836100  -6.36969335
## 281  -5.68444232   2.51961454   2.4762133  -0.62505683  -3.69337469
## 282  -5.68444232   2.51961454   2.4762133  -0.62505683  -3.69337469
## 283  -5.68444232   2.51961454   2.4762133  -0.62505683  -3.69337469
## 284  -5.68444232   2.51961454   2.4762133  -0.62505683  -3.69337469
## 285  -5.68444232   2.51961454   2.4762133  -0.62505683  -3.69337469
## 286  -5.68444232   2.51961454   2.4762133  -0.62505683  -3.69337469
## 287  -5.68444232   2.51961454   2.4762133  -0.62505683  -3.69337469
## 288  -5.68444232   2.51961454   2.4762133  -0.62505683  -3.69337469
## 289 -10.04863930   0.11774768  14.9394056 -19.53973516   1.73541074
## 290 -10.04863930   0.11774768  14.9394056 -19.53973516   1.73541074
## 291 -10.04863930   0.11774768  14.9394056 -19.53973516   1.73541074
## 292 -10.04863930   0.11774768  14.9394056 -19.53973516   1.73541074
## 293 -10.04863930   0.11774768  14.9394056 -19.53973516   1.73541074
## 294 -10.04863930   0.11774768  14.9394056 -19.53973516   1.73541074
## 295 -10.04863930   0.11774768  14.9394056 -19.53973516   1.73541074
## 296 -10.04863930   0.11774768  14.9394056 -19.53973516   1.73541074
## 297  21.95321425 -17.57051778 -66.4737938  -3.29483349   5.54636943
## 298  21.95321425 -17.57051778 -66.4737938  -3.29483349   5.54636943
## 299  21.95321425 -17.57051778 -66.4737938  -3.29483349   5.54636943
## 300  21.95321425 -17.57051778 -66.4737938  -3.29483349   5.54636943
## 301  21.95321425 -17.57051778 -66.4737938  -3.29483349   5.54636943
## 302  21.95321425 -17.57051778 -66.4737938  -3.29483349   5.54636943
## 303  21.95321425 -17.57051778 -66.4737938  -3.29483349   5.54636943
## 304  21.95321425 -17.57051778 -66.4737938  -3.29483349   5.54636943
## 305  -1.16699107  -5.66645606  -2.4262284   5.93960253 -20.23953300
## 306  -1.16699107  -5.66645606  -2.4262284   5.93960253 -20.23953300
## 307  -1.16699107  -5.66645606  -2.4262284   5.93960253 -20.23953300
## 308  -1.16699107  -5.66645606  -2.4262284   5.93960253 -20.23953300
## 309  -1.16699107  -5.66645606  -2.4262284   5.93960253 -20.23953300
## 310  -1.16699107  -5.66645606  -2.4262284   5.93960253 -20.23953300
## 311  -1.16699107  -5.66645606  -2.4262284   5.93960253 -20.23953300
## 312  -1.16699107  -5.66645606  -2.4262284   5.93960253 -20.23953300
## 313  -0.45511889   1.63426992   0.9574966  -8.06015532   1.48973153
## 314  -0.45511889   1.63426992   0.9574966  -8.06015532   1.48973153
## 315  -0.45511889   1.63426992   0.9574966  -8.06015532   1.48973153
## 316  -0.45511889   1.63426992   0.9574966  -8.06015532   1.48973153
## 317  -0.45511889   1.63426992   0.9574966  -8.06015532   1.48973153
## 318  -0.45511889   1.63426992   0.9574966  -8.06015532   1.48973153
## 319  -0.45511889   1.63426992   0.9574966  -8.06015532   1.48973153
## 320  -0.45511889   1.63426992   0.9574966  -8.06015532   1.48973153
## 321  -2.58385627  -0.31049406   4.0926427  -1.71769497  -5.36274585
## 322  -2.58385627  -0.31049406   4.0926427  -1.71769497  -5.36274585
## 323  -2.58385627  -0.31049406   4.0926427  -1.71769497  -5.36274585
## 324  -2.58385627  -0.31049406   4.0926427  -1.71769497  -5.36274585
## 325  -2.58385627  -0.31049406   4.0926427  -1.71769497  -5.36274585
## 326  -2.58385627  -0.31049406   4.0926427  -1.71769497  -5.36274585
## 327  -2.58385627  -0.31049406   4.0926427  -1.71769497  -5.36274585
## 328  -2.58385627  -0.31049406   4.0926427  -1.71769497  -5.36274585
## 329   2.94406651 -24.46819370  49.7838183 -14.79207286  18.68417358
## 330   2.94406651 -24.46819370  49.7838183 -14.79207286  18.68417358
## 331   2.94406651 -24.46819370  49.7838183 -14.79207286  18.68417358
## 332   2.94406651 -24.46819370  49.7838183 -14.79207286  18.68417358
## 333   2.94406651 -24.46819370  49.7838183 -14.79207286  18.68417358
## 334   2.94406651 -24.46819370  49.7838183 -14.79207286  18.68417358
## 335   2.94406651 -24.46819370  49.7838183 -14.79207286  18.68417358
## 336   2.94406651 -24.46819370  49.7838183 -14.79207286  18.68417358
## 337  -3.63032577   0.54004976  -5.1705443   1.00390883   3.37483992
## 338  -3.63032577   0.54004976  -5.1705443   1.00390883   3.37483992
## 339  -3.63032577   0.54004976  -5.1705443   1.00390883   3.37483992
## 340  -3.63032577   0.54004976  -5.1705443   1.00390883   3.37483992
## 341  -3.63032577   0.54004976  -5.1705443   1.00390883   3.37483992
## 342  -3.63032577   0.54004976  -5.1705443   1.00390883   3.37483992
## 343  -3.63032577   0.54004976  -5.1705443   1.00390883   3.37483992
## 344  -3.63032577   0.54004976  -5.1705443   1.00390883   3.37483992
## 345   2.81160961   4.23794794   1.1156610  -2.38424853  -1.46299883
## 346   2.81160961   4.23794794   1.1156610  -2.38424853  -1.46299883
## 347   2.81160961   4.23794794   1.1156610  -2.38424853  -1.46299883
## 348   2.81160961   4.23794794   1.1156610  -2.38424853  -1.46299883
## 349   2.81160961   4.23794794   1.1156610  -2.38424853  -1.46299883
## 350   2.81160961   4.23794794   1.1156610  -2.38424853  -1.46299883
## 351   2.81160961   4.23794794   1.1156610  -2.38424853  -1.46299883
## 352   2.81160961   4.23794794   1.1156610  -2.38424853  -1.46299883
## 353   9.34126802   2.80509664   5.9565320 -10.18873182 -15.76433051
## 354   9.34126802   2.80509664   5.9565320 -10.18873182 -15.76433051
## 355   9.34126802   2.80509664   5.9565320 -10.18873182 -15.76433051
## 356   9.34126802   2.80509664   5.9565320 -10.18873182 -15.76433051
## 357   9.34126802   2.80509664   5.9565320 -10.18873182 -15.76433051
## 358   9.34126802   2.80509664   5.9565320 -10.18873182 -15.76433051
## 359   9.34126802   2.80509664   5.9565320 -10.18873182 -15.76433051
## 360   9.34126802   2.80509664   5.9565320 -10.18873182 -15.76433051
## 361  -1.41991775   2.07010591  -3.2420202  -1.44789332   2.83814470
## 362  -1.41991775   2.07010591  -3.2420202  -1.44789332   2.83814470
## 363  -1.41991775   2.07010591  -3.2420202  -1.44789332   2.83814470
## 364  -1.41991775   2.07010591  -3.2420202  -1.44789332   2.83814470
## 365  -1.41991775   2.07010591  -3.2420202  -1.44789332   2.83814470
## 366  -1.41991775   2.07010591  -3.2420202  -1.44789332   2.83814470
## 367  -1.41991775   2.07010591  -3.2420202  -1.44789332   2.83814470
## 368  -1.41991775   2.07010591  -3.2420202  -1.44789332   2.83814470
## 369  -8.77672973  -2.90825266 -16.8108481   4.56715414   8.37907491
## 370  -8.77672973  -2.90825266 -16.8108481   4.56715414   8.37907491
## 371  -8.77672973  -2.90825266 -16.8108481   4.56715414   8.37907491
## 372  -8.77672973  -2.90825266 -16.8108481   4.56715414   8.37907491
## 373  -8.77672973  -2.90825266 -16.8108481   4.56715414   8.37907491
## 374  -8.77672973  -2.90825266 -16.8108481   4.56715414   8.37907491
## 375  -8.77672973  -2.90825266 -16.8108481   4.56715414   8.37907491
## 376  -8.77672973  -2.90825266 -16.8108481   4.56715414   8.37907491
## 377  -9.69218995 -13.55901919   4.6942539 -20.00694822   1.01507474
## 378  -9.69218995 -13.55901919   4.6942539 -20.00694822   1.01507474
## 379  -9.69218995 -13.55901919   4.6942539 -20.00694822   1.01507474
## 380  -9.69218995 -13.55901919   4.6942539 -20.00694822   1.01507474
## 381  -9.69218995 -13.55901919   4.6942539 -20.00694822   1.01507474
## 382  -9.69218995 -13.55901919   4.6942539 -20.00694822   1.01507474
## 383  -9.69218995 -13.55901919   4.6942539 -20.00694822   1.01507474
## 384  -9.69218995 -13.55901919   4.6942539 -20.00694822   1.01507474
## 385  -4.94689936   4.90815459 -21.2449712  12.64483312 -18.63832099
## 386  -4.94689936   4.90815459 -21.2449712  12.64483312 -18.63832099
## 387  -4.94689936   4.90815459 -21.2449712  12.64483312 -18.63832099
## 388  -4.94689936   4.90815459 -21.2449712  12.64483312 -18.63832099
## 389  -4.94689936   4.90815459 -21.2449712  12.64483312 -18.63832099
## 390  -4.94689936   4.90815459 -21.2449712  12.64483312 -18.63832099
## 391  -4.94689936   4.90815459 -21.2449712  12.64483312 -18.63832099
## 392  -4.94689936   4.90815459 -21.2449712  12.64483312 -18.63832099
## 393   4.52795112  -0.39530953   6.5881067   1.58885841  -3.47661867
## 394   4.52795112  -0.39530953   6.5881067   1.58885841  -3.47661867
## 395   4.52795112  -0.39530953   6.5881067   1.58885841  -3.47661867
## 396   4.52795112  -0.39530953   6.5881067   1.58885841  -3.47661867
## 397   4.52795112  -0.39530953   6.5881067   1.58885841  -3.47661867
## 398   4.52795112  -0.39530953   6.5881067   1.58885841  -3.47661867
## 399   4.52795112  -0.39530953   6.5881067   1.58885841  -3.47661867
## 400   4.52795112  -0.39530953   6.5881067   1.58885841  -3.47661867
## 401   0.38287935  -0.24249264   2.0403543  -2.34702159  -1.63093900
## 402   0.38287935  -0.24249264   2.0403543  -2.34702159  -1.63093900
## 403   0.38287935  -0.24249264   2.0403543  -2.34702159  -1.63093900
## 404   0.38287935  -0.24249264   2.0403543  -2.34702159  -1.63093900
## 405   0.38287935  -0.24249264   2.0403543  -2.34702159  -1.63093900
## 406   0.38287935  -0.24249264   2.0403543  -2.34702159  -1.63093900
## 407   0.38287935  -0.24249264   2.0403543  -2.34702159  -1.63093900
## 408   0.38287935  -0.24249264   2.0403543  -2.34702159  -1.63093900
## 409  -8.08562335  -4.61758760  -2.4965079  -1.43719112   7.21054125
## 410  -8.08562335  -4.61758760  -2.4965079  -1.43719112   7.21054125
## 411  -8.08562335  -4.61758760  -2.4965079  -1.43719112   7.21054125
## 412  -8.08562335  -4.61758760  -2.4965079  -1.43719112   7.21054125
## 413  -8.08562335  -4.61758760  -2.4965079  -1.43719112   7.21054125
## 414  -8.08562335  -4.61758760  -2.4965079  -1.43719112   7.21054125
## 415  -8.08562335  -4.61758760  -2.4965079  -1.43719112   7.21054125
## 416  -8.08562335  -4.61758760  -2.4965079  -1.43719112   7.21054125
## 417  33.50901232 -12.08487539  19.5838305  49.01271416 -21.82071638
## 418  33.50901232 -12.08487539  19.5838305  49.01271416 -21.82071638
## 419  33.50901232 -12.08487539  19.5838305  49.01271416 -21.82071638
## 420  33.50901232 -12.08487539  19.5838305  49.01271416 -21.82071638
## 421  33.50901232 -12.08487539  19.5838305  49.01271416 -21.82071638
## 422  33.50901232 -12.08487539  19.5838305  49.01271416 -21.82071638
## 423  33.50901232 -12.08487539  19.5838305  49.01271416 -21.82071638
## 424  33.50901232 -12.08487539  19.5838305  49.01271416 -21.82071638
## 425  -5.48207133  -0.65277401  -2.7363032  -5.66731559  -0.96140545
## 426  -5.48207133  -0.65277401  -2.7363032  -5.66731559  -0.96140545
## 427  -5.48207133  -0.65277401  -2.7363032  -5.66731559  -0.96140545
## 428  -5.48207133  -0.65277401  -2.7363032  -5.66731559  -0.96140545
## 429  -5.48207133  -0.65277401  -2.7363032  -5.66731559  -0.96140545
## 430  -5.48207133  -0.65277401  -2.7363032  -5.66731559  -0.96140545
## 431  -5.48207133  -0.65277401  -2.7363032  -5.66731559  -0.96140545
## 432  -5.48207133  -0.65277401  -2.7363032  -5.66731559  -0.96140545
## 433 -12.71204478  -4.60119954   1.2758899 -20.60419816   7.27820526
## 434 -12.71204478  -4.60119954   1.2758899 -20.60419816   7.27820526
## 435 -12.71204478  -4.60119954   1.2758899 -20.60419816   7.27820526
## 436 -12.71204478  -4.60119954   1.2758899 -20.60419816   7.27820526
## 437 -12.71204478  -4.60119954   1.2758899 -20.60419816   7.27820526
## 438 -12.71204478  -4.60119954   1.2758899 -20.60419816   7.27820526
## 439 -12.71204478  -4.60119954   1.2758899 -20.60419816   7.27820526
## 440 -12.71204478  -4.60119954   1.2758899 -20.60419816   7.27820526
## 441   0.14448213  -2.08252570  -4.2491566   1.16526970   0.13517667
## 442   0.14448213  -2.08252570  -4.2491566   1.16526970   0.13517667
## 443   0.14448213  -2.08252570  -4.2491566   1.16526970   0.13517667
## 444   0.14448213  -2.08252570  -4.2491566   1.16526970   0.13517667
## 445   0.14448213  -2.08252570  -4.2491566   1.16526970   0.13517667
## 446   0.14448213  -2.08252570  -4.2491566   1.16526970   0.13517667
## 447   0.14448213  -2.08252570  -4.2491566   1.16526970   0.13517667
## 448   0.14448213  -2.08252570  -4.2491566   1.16526970   0.13517667
## 449 -23.94509042  67.36703283   7.7712507   3.48674449  26.49677098
## 450 -23.94509042  67.36703283   7.7712507   3.48674449  26.49677098
## 451 -23.94509042  67.36703283   7.7712507   3.48674449  26.49677098
## 452 -23.94509042  67.36703283   7.7712507   3.48674449  26.49677098
## 453 -23.94509042  67.36703283   7.7712507   3.48674449  26.49677098
## 454 -23.94509042  67.36703283   7.7712507   3.48674449  26.49677098
## 455 -23.94509042  67.36703283   7.7712507   3.48674449  26.49677098
## 456 -23.94509042  67.36703283   7.7712507   3.48674449  26.49677098
## 457  -5.96668584 -15.82983585   0.7330660   9.55716407   0.89429047
## 458  -5.96668584 -15.82983585   0.7330660   9.55716407   0.89429047
## 459  -5.96668584 -15.82983585   0.7330660   9.55716407   0.89429047
## 460  -5.96668584 -15.82983585   0.7330660   9.55716407   0.89429047
## 461  -5.96668584 -15.82983585   0.7330660   9.55716407   0.89429047
## 462  -5.96668584 -15.82983585   0.7330660   9.55716407   0.89429047
## 463  -5.96668584 -15.82983585   0.7330660   9.55716407   0.89429047
## 464  -5.96668584 -15.82983585   0.7330660   9.55716407   0.89429047
## 465   4.28054309   1.87177132   0.4106910  -8.79749155  -2.24328252
## 466   4.28054309   1.87177132   0.4106910  -8.79749155  -2.24328252
## 467   4.28054309   1.87177132   0.4106910  -8.79749155  -2.24328252
## 468   4.28054309   1.87177132   0.4106910  -8.79749155  -2.24328252
## 469   4.28054309   1.87177132   0.4106910  -8.79749155  -2.24328252
## 470   4.28054309   1.87177132   0.4106910  -8.79749155  -2.24328252
## 471   4.28054309   1.87177132   0.4106910  -8.79749155  -2.24328252
## 472   4.28054309   1.87177132   0.4106910  -8.79749155  -2.24328252
## 473   1.47100562   0.63398807   0.2547099   1.47305396   2.33456125
## 474   1.47100562   0.63398807   0.2547099   1.47305396   2.33456125
## 475   1.47100562   0.63398807   0.2547099   1.47305396   2.33456125
## 476   1.47100562   0.63398807   0.2547099   1.47305396   2.33456125
## 477   1.47100562   0.63398807   0.2547099   1.47305396   2.33456125
## 478   1.47100562   0.63398807   0.2547099   1.47305396   2.33456125
## 479   1.47100562   0.63398807   0.2547099   1.47305396   2.33456125
## 480   1.47100562   0.63398807   0.2547099   1.47305396   2.33456125
## 481  -1.19707026   1.58428126   3.9745918   3.48150142  -2.54566906
## 482  -1.19707026   1.58428126   3.9745918   3.48150142  -2.54566906
## 483  -1.19707026   1.58428126   3.9745918   3.48150142  -2.54566906
## 484  -1.19707026   1.58428126   3.9745918   3.48150142  -2.54566906
## 485  -1.19707026   1.58428126   3.9745918   3.48150142  -2.54566906
## 486  -1.19707026   1.58428126   3.9745918   3.48150142  -2.54566906
## 487  -1.19707026   1.58428126   3.9745918   3.48150142  -2.54566906
## 488  -1.19707026   1.58428126   3.9745918   3.48150142  -2.54566906
## 489   0.36628246   1.86078817  -3.5560358  -3.55861331  -1.76808573
## 490   0.36628246   1.86078817  -3.5560358  -3.55861331  -1.76808573
## 491   0.36628246   1.86078817  -3.5560358  -3.55861331  -1.76808573
## 492   0.36628246   1.86078817  -3.5560358  -3.55861331  -1.76808573
## 493   0.36628246   1.86078817  -3.5560358  -3.55861331  -1.76808573
## 494   0.36628246   1.86078817  -3.5560358  -3.55861331  -1.76808573
## 495   0.36628246   1.86078817  -3.5560358  -3.55861331  -1.76808573
## 496   0.36628246   1.86078817  -3.5560358  -3.55861331  -1.76808573
## 497  40.80862895  30.32929418   8.6523921  46.78515985  45.13641848
## 498  40.80862895  30.32929418   8.6523921  46.78515985  45.13641848
## 499  40.80862895  30.32929418   8.6523921  46.78515985  45.13641848
## 500  40.80862895  30.32929418   8.6523921  46.78515985  45.13641848
## 501  40.80862895  30.32929418   8.6523921  46.78515985  45.13641848
## 502  40.80862895  30.32929418   8.6523921  46.78515985  45.13641848
## 503  40.80862895  30.32929418   8.6523921  46.78515985  45.13641848
## 504  40.80862895  30.32929418   8.6523921  46.78515985  45.13641848
## 505   2.50912854  -2.02105029   1.6232565  -2.79411108   4.35960209
## 506   2.50912854  -2.02105029   1.6232565  -2.79411108   4.35960209
## 507   2.50912854  -2.02105029   1.6232565  -2.79411108   4.35960209
## 508   2.50912854  -2.02105029   1.6232565  -2.79411108   4.35960209
## 509   2.50912854  -2.02105029   1.6232565  -2.79411108   4.35960209
## 510   2.50912854  -2.02105029   1.6232565  -2.79411108   4.35960209
## 511   2.50912854  -2.02105029   1.6232565  -2.79411108   4.35960209
## 512   2.50912854  -2.02105029   1.6232565  -2.79411108   4.35960209
## 513   6.80206447  -5.98815031  -1.7657782  -4.06505748  -1.73062418
## 514   6.80206447  -5.98815031  -1.7657782  -4.06505748  -1.73062418
## 515   6.80206447  -5.98815031  -1.7657782  -4.06505748  -1.73062418
## 516   6.80206447  -5.98815031  -1.7657782  -4.06505748  -1.73062418
## 517   6.80206447  -5.98815031  -1.7657782  -4.06505748  -1.73062418
## 518   6.80206447  -5.98815031  -1.7657782  -4.06505748  -1.73062418
## 519   6.80206447  -5.98815031  -1.7657782  -4.06505748  -1.73062418
## 520   6.80206447  -5.98815031  -1.7657782  -4.06505748  -1.73062418
## 521   0.19529306 -10.82671840   3.5663835  -6.51310122  -9.80063428
## 522   0.19529306 -10.82671840   3.5663835  -6.51310122  -9.80063428
## 523   0.19529306 -10.82671840   3.5663835  -6.51310122  -9.80063428
## 524   0.19529306 -10.82671840   3.5663835  -6.51310122  -9.80063428
## 525   0.19529306 -10.82671840   3.5663835  -6.51310122  -9.80063428
## 526   0.19529306 -10.82671840   3.5663835  -6.51310122  -9.80063428
## 527   0.19529306 -10.82671840   3.5663835  -6.51310122  -9.80063428
## 528   0.19529306 -10.82671840   3.5663835  -6.51310122  -9.80063428
## 529  -2.34020374   1.06695203   4.0327238   0.04367979   0.71060429
## 530  -2.34020374   1.06695203   4.0327238   0.04367979   0.71060429
## 531  -2.34020374   1.06695203   4.0327238   0.04367979   0.71060429
## 532  -2.34020374   1.06695203   4.0327238   0.04367979   0.71060429
## 533  -2.34020374   1.06695203   4.0327238   0.04367979   0.71060429
## 534  -2.34020374   1.06695203   4.0327238   0.04367979   0.71060429
## 535  -2.34020374   1.06695203   4.0327238   0.04367979   0.71060429
## 536  -2.34020374   1.06695203   4.0327238   0.04367979   0.71060429
## 537 -16.95237780   4.17946606   5.8357475   7.12046232  -3.10105050
## 538 -16.95237780   4.17946606   5.8357475   7.12046232  -3.10105050
## 539 -16.95237780   4.17946606   5.8357475   7.12046232  -3.10105050
## 540 -16.95237780   4.17946606   5.8357475   7.12046232  -3.10105050
## 541 -16.95237780   4.17946606   5.8357475   7.12046232  -3.10105050
## 542 -16.95237780   4.17946606   5.8357475   7.12046232  -3.10105050
## 543 -16.95237780   4.17946606   5.8357475   7.12046232  -3.10105050
## 544 -16.95237780   4.17946606   5.8357475   7.12046232  -3.10105050
## 545   7.88906211  -4.59543495  -3.0789526  -5.84137944   9.90831618
## 546   7.88906211  -4.59543495  -3.0789526  -5.84137944   9.90831618
## 547   7.88906211  -4.59543495  -3.0789526  -5.84137944   9.90831618
## 548   7.88906211  -4.59543495  -3.0789526  -5.84137944   9.90831618
## 549   7.88906211  -4.59543495  -3.0789526  -5.84137944   9.90831618
## 550   7.88906211  -4.59543495  -3.0789526  -5.84137944   9.90831618
## 551   7.88906211  -4.59543495  -3.0789526  -5.84137944   9.90831618
## 552   7.88906211  -4.59543495  -3.0789526  -5.84137944   9.90831618
## 553   0.69133546  -2.35822700  -0.3217915  -1.50545136   2.78762433
## 554   0.69133546  -2.35822700  -0.3217915  -1.50545136   2.78762433
## 555   0.69133546  -2.35822700  -0.3217915  -1.50545136   2.78762433
## 556   0.69133546  -2.35822700  -0.3217915  -1.50545136   2.78762433
## 557   0.69133546  -2.35822700  -0.3217915  -1.50545136   2.78762433
## 558   0.69133546  -2.35822700  -0.3217915  -1.50545136   2.78762433
## 559   0.69133546  -2.35822700  -0.3217915  -1.50545136   2.78762433
## 560   0.69133546  -2.35822700  -0.3217915  -1.50545136   2.78762433
## 561  15.37733930 -16.23967712  12.1499127  -6.76978572  -3.14438141
## 562  15.37733930 -16.23967712  12.1499127  -6.76978572  -3.14438141
## 563  15.37733930 -16.23967712  12.1499127  -6.76978572  -3.14438141
## 564  15.37733930 -16.23967712  12.1499127  -6.76978572  -3.14438141
## 565  15.37733930 -16.23967712  12.1499127  -6.76978572  -3.14438141
## 566  15.37733930 -16.23967712  12.1499127  -6.76978572  -3.14438141
## 567  15.37733930 -16.23967712  12.1499127  -6.76978572  -3.14438141
## 568  15.37733930 -16.23967712  12.1499127  -6.76978572  -3.14438141
## 569   3.60919500  -5.10186682  -2.7059884  18.35334518  -1.21263054
## 570   3.60919500  -5.10186682  -2.7059884  18.35334518  -1.21263054
## 571   3.60919500  -5.10186682  -2.7059884  18.35334518  -1.21263054
## 572   3.60919500  -5.10186682  -2.7059884  18.35334518  -1.21263054
## 573   3.60919500  -5.10186682  -2.7059884  18.35334518  -1.21263054
## 574   3.60919500  -5.10186682  -2.7059884  18.35334518  -1.21263054
## 575   3.60919500  -5.10186682  -2.7059884  18.35334518  -1.21263054
## 576   3.60919500  -5.10186682  -2.7059884  18.35334518  -1.21263054
## 577 -16.39976368   6.06069747  15.7272000  -6.98193383 -13.56782288
## 578 -16.39976368   6.06069747  15.7272000  -6.98193383 -13.56782288
## 579 -16.39976368   6.06069747  15.7272000  -6.98193383 -13.56782288
## 580 -16.39976368   6.06069747  15.7272000  -6.98193383 -13.56782288
## 581 -16.39976368   6.06069747  15.7272000  -6.98193383 -13.56782288
## 582 -16.39976368   6.06069747  15.7272000  -6.98193383 -13.56782288
## 583 -16.39976368   6.06069747  15.7272000  -6.98193383 -13.56782288
## 584 -16.39976368   6.06069747  15.7272000  -6.98193383 -13.56782288
## 585  -1.12461239   0.91207717   1.0510253   1.82969659  -2.08862762
## 586  -1.12461239   0.91207717   1.0510253   1.82969659  -2.08862762
## 587  -1.12461239   0.91207717   1.0510253   1.82969659  -2.08862762
## 588  -1.12461239   0.91207717   1.0510253   1.82969659  -2.08862762
## 589  -1.12461239   0.91207717   1.0510253   1.82969659  -2.08862762
## 590  -1.12461239   0.91207717   1.0510253   1.82969659  -2.08862762
## 591  -1.12461239   0.91207717   1.0510253   1.82969659  -2.08862762
## 592  -1.12461239   0.91207717   1.0510253   1.82969659  -2.08862762
## 593   0.70755749   2.26628602  -2.6118570   4.92947490  -0.81390325
## 594   0.70755749   2.26628602  -2.6118570   4.92947490  -0.81390325
## 595   0.70755749   2.26628602  -2.6118570   4.92947490  -0.81390325
## 596   0.70755749   2.26628602  -2.6118570   4.92947490  -0.81390325
## 597   0.70755749   2.26628602  -2.6118570   4.92947490  -0.81390325
## 598   0.70755749   2.26628602  -2.6118570   4.92947490  -0.81390325
## 599   0.70755749   2.26628602  -2.6118570   4.92947490  -0.81390325
## 600   0.70755749   2.26628602  -2.6118570   4.92947490  -0.81390325
## 601  15.16629765 -11.94679479   8.7419114  -6.86566537  45.62184455
## 602  15.16629765 -11.94679479   8.7419114  -6.86566537  45.62184455
## 603  15.16629765 -11.94679479   8.7419114  -6.86566537  45.62184455
## 604  15.16629765 -11.94679479   8.7419114  -6.86566537  45.62184455
## 605  15.16629765 -11.94679479   8.7419114  -6.86566537  45.62184455
## 606  15.16629765 -11.94679479   8.7419114  -6.86566537  45.62184455
## 607  15.16629765 -11.94679479   8.7419114  -6.86566537  45.62184455
## 608  15.16629765 -11.94679479   8.7419114  -6.86566537  45.62184455
## 609   6.71683921   7.24334243 -13.0448842   0.43745469 -22.21188151
## 610   6.71683921   7.24334243 -13.0448842   0.43745469 -22.21188151
## 611   6.71683921   7.24334243 -13.0448842   0.43745469 -22.21188151
## 612   6.71683921   7.24334243 -13.0448842   0.43745469 -22.21188151
## 613   6.71683921   7.24334243 -13.0448842   0.43745469 -22.21188151
## 614   6.71683921   7.24334243 -13.0448842   0.43745469 -22.21188151
## 615   6.71683921   7.24334243 -13.0448842   0.43745469 -22.21188151
## 616   6.71683921   7.24334243 -13.0448842   0.43745469 -22.21188151
## 617 -11.35243199  -3.58628745 -10.0303207  -4.51510720  -1.57919122
## 618 -11.35243199  -3.58628745 -10.0303207  -4.51510720  -1.57919122
## 619 -11.35243199  -3.58628745 -10.0303207  -4.51510720  -1.57919122
## 620 -11.35243199  -3.58628745 -10.0303207  -4.51510720  -1.57919122
## 621 -11.35243199  -3.58628745 -10.0303207  -4.51510720  -1.57919122
## 622 -11.35243199  -3.58628745 -10.0303207  -4.51510720  -1.57919122
## 623 -11.35243199  -3.58628745 -10.0303207  -4.51510720  -1.57919122
## 624 -11.35243199  -3.58628745 -10.0303207  -4.51510720  -1.57919122
## 625   3.96431354   2.31822396  -1.6635455  -2.82361245  -9.24602617
## 626   3.96431354   2.31822396  -1.6635455  -2.82361245  -9.24602617
## 627   3.96431354   2.31822396  -1.6635455  -2.82361245  -9.24602617
## 628   3.96431354   2.31822396  -1.6635455  -2.82361245  -9.24602617
## 629   3.96431354   2.31822396  -1.6635455  -2.82361245  -9.24602617
## 630   3.96431354   2.31822396  -1.6635455  -2.82361245  -9.24602617
## 631   3.96431354   2.31822396  -1.6635455  -2.82361245  -9.24602617
## 632   3.96431354   2.31822396  -1.6635455  -2.82361245  -9.24602617
## 633   1.48873510   7.71542708  -7.5218620   7.14196749  14.85555515
## 634   1.48873510   7.71542708  -7.5218620   7.14196749  14.85555515
## 635   1.48873510   7.71542708  -7.5218620   7.14196749  14.85555515
## 636   1.48873510   7.71542708  -7.5218620   7.14196749  14.85555515
## 637   1.48873510   7.71542708  -7.5218620   7.14196749  14.85555515
## 638   1.48873510   7.71542708  -7.5218620   7.14196749  14.85555515
## 639   1.48873510   7.71542708  -7.5218620   7.14196749  14.85555515
## 640   1.48873510   7.71542708  -7.5218620   7.14196749  14.85555515
## 641   1.21446329   1.65922792   2.2364004   0.43860085   1.48592160
## 642   1.21446329   1.65922792   2.2364004   0.43860085   1.48592160
## 643   1.21446329   1.65922792   2.2364004   0.43860085   1.48592160
## 644   1.21446329   1.65922792   2.2364004   0.43860085   1.48592160
## 645   1.21446329   1.65922792   2.2364004   0.43860085   1.48592160
## 646   1.21446329   1.65922792   2.2364004   0.43860085   1.48592160
## 647   1.21446329   1.65922792   2.2364004   0.43860085   1.48592160
## 648   1.21446329   1.65922792   2.2364004   0.43860085   1.48592160
## 649   5.92104141  -4.78450611  12.0494709  -1.71385369   3.10625646
## 650   5.92104141  -4.78450611  12.0494709  -1.71385369   3.10625646
## 651   5.92104141  -4.78450611  12.0494709  -1.71385369   3.10625646
## 652   5.92104141  -4.78450611  12.0494709  -1.71385369   3.10625646
## 653   5.92104141  -4.78450611  12.0494709  -1.71385369   3.10625646
## 654   5.92104141  -4.78450611  12.0494709  -1.71385369   3.10625646
## 655   5.92104141  -4.78450611  12.0494709  -1.71385369   3.10625646
## 656   5.92104141  -4.78450611  12.0494709  -1.71385369   3.10625646
## 657  -7.61838224   3.88498497   4.1702273   3.19273671  -5.65194615
## 658  -7.61838224   3.88498497   4.1702273   3.19273671  -5.65194615
## 659  -7.61838224   3.88498497   4.1702273   3.19273671  -5.65194615
## 660  -7.61838224   3.88498497   4.1702273   3.19273671  -5.65194615
## 661  -7.61838224   3.88498497   4.1702273   3.19273671  -5.65194615
## 662  -7.61838224   3.88498497   4.1702273   3.19273671  -5.65194615
## 663  -7.61838224   3.88498497   4.1702273   3.19273671  -5.65194615
## 664  -7.61838224   3.88498497   4.1702273   3.19273671  -5.65194615
## 665   3.39351873  -2.48221863  -2.8473580   1.26449283   1.07575217
## 666   3.39351873  -2.48221863  -2.8473580   1.26449283   1.07575217
## 667   3.39351873  -2.48221863  -2.8473580   1.26449283   1.07575217
## 668   3.39351873  -2.48221863  -2.8473580   1.26449283   1.07575217
## 669   3.39351873  -2.48221863  -2.8473580   1.26449283   1.07575217
## 670   3.39351873  -2.48221863  -2.8473580   1.26449283   1.07575217
## 671   3.39351873  -2.48221863  -2.8473580   1.26449283   1.07575217
## 672   3.39351873  -2.48221863  -2.8473580   1.26449283   1.07575217
## 673  -0.81396621  -3.96803590   1.9389067   4.19770645  14.77668393
## 674  -0.81396621  -3.96803590   1.9389067   4.19770645  14.77668393
## 675  -0.81396621  -3.96803590   1.9389067   4.19770645  14.77668393
## 676  -0.81396621  -3.96803590   1.9389067   4.19770645  14.77668393
## 677  -0.81396621  -3.96803590   1.9389067   4.19770645  14.77668393
## 678  -0.81396621  -3.96803590   1.9389067   4.19770645  14.77668393
## 679  -0.81396621  -3.96803590   1.9389067   4.19770645  14.77668393
## 680  -0.81396621  -3.96803590   1.9389067   4.19770645  14.77668393
## 681  -4.28660457   3.66932305  -3.1763103   3.85134107  -4.66075325
## 682  -4.28660457   3.66932305  -3.1763103   3.85134107  -4.66075325
## 683  -4.28660457   3.66932305  -3.1763103   3.85134107  -4.66075325
## 684  -4.28660457   3.66932305  -3.1763103   3.85134107  -4.66075325
## 685  -4.28660457   3.66932305  -3.1763103   3.85134107  -4.66075325
## 686  -4.28660457   3.66932305  -3.1763103   3.85134107  -4.66075325
## 687  -4.28660457   3.66932305  -3.1763103   3.85134107  -4.66075325
## 688  -4.28660457   3.66932305  -3.1763103   3.85134107  -4.66075325
## 689   8.98760465 -12.97513655   9.7808789 -15.26012946  -1.37604081
## 690   8.98760465 -12.97513655   9.7808789 -15.26012946  -1.37604081
## 691   8.98760465 -12.97513655   9.7808789 -15.26012946  -1.37604081
## 692   8.98760465 -12.97513655   9.7808789 -15.26012946  -1.37604081
## 693   8.98760465 -12.97513655   9.7808789 -15.26012946  -1.37604081
## 694   8.98760465 -12.97513655   9.7808789 -15.26012946  -1.37604081
## 695   8.98760465 -12.97513655   9.7808789 -15.26012946  -1.37604081
## 696   8.98760465 -12.97513655   9.7808789 -15.26012946  -1.37604081
## 697   0.84678956  -1.90898117   1.9430473   2.25147779  -3.57856359
## 698   0.84678956  -1.90898117   1.9430473   2.25147779  -3.57856359
## 699   0.84678956  -1.90898117   1.9430473   2.25147779  -3.57856359
## 700   0.84678956  -1.90898117   1.9430473   2.25147779  -3.57856359
## 701   0.84678956  -1.90898117   1.9430473   2.25147779  -3.57856359
## 702   0.84678956  -1.90898117   1.9430473   2.25147779  -3.57856359
## 703   0.84678956  -1.90898117   1.9430473   2.25147779  -3.57856359
## 704   0.84678956  -1.90898117   1.9430473   2.25147779  -3.57856359
## 705  -2.00734917  -4.86916307  -7.5647371  -3.01962293   0.26380766
## 706  -2.00734917  -4.86916307  -7.5647371  -3.01962293   0.26380766
## 707  -2.00734917  -4.86916307  -7.5647371  -3.01962293   0.26380766
## 708  -2.00734917  -4.86916307  -7.5647371  -3.01962293   0.26380766
## 709  -2.00734917  -4.86916307  -7.5647371  -3.01962293   0.26380766
## 710  -2.00734917  -4.86916307  -7.5647371  -3.01962293   0.26380766
## 711  -2.00734917  -4.86916307  -7.5647371  -3.01962293   0.26380766
## 712  -2.00734917  -4.86916307  -7.5647371  -3.01962293   0.26380766
## 713  -5.55177883 -14.71668784 -55.4704016  43.29065548  16.95197379
## 714  -5.55177883 -14.71668784 -55.4704016  43.29065548  16.95197379
## 715  -5.55177883 -14.71668784 -55.4704016  43.29065548  16.95197379
## 716  -5.55177883 -14.71668784 -55.4704016  43.29065548  16.95197379
## 717  -5.55177883 -14.71668784 -55.4704016  43.29065548  16.95197379
## 718  -5.55177883 -14.71668784 -55.4704016  43.29065548  16.95197379
## 719  -5.55177883 -14.71668784 -55.4704016  43.29065548  16.95197379
## 720  -5.55177883 -14.71668784 -55.4704016  43.29065548  16.95197379
## 721  14.27223608  14.27019168 -10.9529677 -17.81298081  14.72632127
## 722  14.27223608  14.27019168 -10.9529677 -17.81298081  14.72632127
## 723  14.27223608  14.27019168 -10.9529677 -17.81298081  14.72632127
## 724  14.27223608  14.27019168 -10.9529677 -17.81298081  14.72632127
## 725  14.27223608  14.27019168 -10.9529677 -17.81298081  14.72632127
## 726  14.27223608  14.27019168 -10.9529677 -17.81298081  14.72632127
## 727  14.27223608  14.27019168 -10.9529677 -17.81298081  14.72632127
## 728  14.27223608  14.27019168 -10.9529677 -17.81298081  14.72632127
## 729  -1.58371671  -1.02489920   0.2309142   0.96892508   0.14102342
## 730  -1.58371671  -1.02489920   0.2309142   0.96892508   0.14102342
## 731  -1.58371671  -1.02489920   0.2309142   0.96892508   0.14102342
## 732  -1.58371671  -1.02489920   0.2309142   0.96892508   0.14102342
## 733  -1.58371671  -1.02489920   0.2309142   0.96892508   0.14102342
## 734  -1.58371671  -1.02489920   0.2309142   0.96892508   0.14102342
## 735  -1.58371671  -1.02489920   0.2309142   0.96892508   0.14102342
## 736  -1.58371671  -1.02489920   0.2309142   0.96892508   0.14102342
## 737   6.68713548  39.54279687 -36.4007790 -47.12136264  19.22731123
## 738   6.68713548  39.54279687 -36.4007790 -47.12136264  19.22731123
## 739   6.68713548  39.54279687 -36.4007790 -47.12136264  19.22731123
## 740   6.68713548  39.54279687 -36.4007790 -47.12136264  19.22731123
## 741   6.68713548  39.54279687 -36.4007790 -47.12136264  19.22731123
## 742   6.68713548  39.54279687 -36.4007790 -47.12136264  19.22731123
## 743   6.68713548  39.54279687 -36.4007790 -47.12136264  19.22731123
## 744   6.68713548  39.54279687 -36.4007790 -47.12136264  19.22731123
## 745 -67.02585239 -28.39444351   8.8383830  27.43477161  26.03350429
## 746 -67.02585239 -28.39444351   8.8383830  27.43477161  26.03350429
## 747 -67.02585239 -28.39444351   8.8383830  27.43477161  26.03350429
## 748 -67.02585239 -28.39444351   8.8383830  27.43477161  26.03350429
## 749 -67.02585239 -28.39444351   8.8383830  27.43477161  26.03350429
## 750 -67.02585239 -28.39444351   8.8383830  27.43477161  26.03350429
## 751 -67.02585239 -28.39444351   8.8383830  27.43477161  26.03350429
## 752 -67.02585239 -28.39444351   8.8383830  27.43477161  26.03350429
## 753 -17.51287695  -4.45246316   6.5642431  -7.89886451 -19.16908040
## 754 -17.51287695  -4.45246316   6.5642431  -7.89886451 -19.16908040
## 755 -17.51287695  -4.45246316   6.5642431  -7.89886451 -19.16908040
## 756 -17.51287695  -4.45246316   6.5642431  -7.89886451 -19.16908040
## 757 -17.51287695  -4.45246316   6.5642431  -7.89886451 -19.16908040
## 758 -17.51287695  -4.45246316   6.5642431  -7.89886451 -19.16908040
## 759 -17.51287695  -4.45246316   6.5642431  -7.89886451 -19.16908040
## 760 -17.51287695  -4.45246316   6.5642431  -7.89886451 -19.16908040
## 761  24.11729439 -10.70050457  11.0277521  -1.56311412   0.23714203
## 762  24.11729439 -10.70050457  11.0277521  -1.56311412   0.23714203
## 763  24.11729439 -10.70050457  11.0277521  -1.56311412   0.23714203
## 764  24.11729439 -10.70050457  11.0277521  -1.56311412   0.23714203
## 765  24.11729439 -10.70050457  11.0277521  -1.56311412   0.23714203
## 766  24.11729439 -10.70050457  11.0277521  -1.56311412   0.23714203
## 767  24.11729439 -10.70050457  11.0277521  -1.56311412   0.23714203
## 768  24.11729439 -10.70050457  11.0277521  -1.56311412   0.23714203
## 769 -16.44283376  32.99831345  19.5318904  28.29621157 -37.37057176
## 770 -16.44283376  32.99831345  19.5318904  28.29621157 -37.37057176
## 771 -16.44283376  32.99831345  19.5318904  28.29621157 -37.37057176
## 772 -16.44283376  32.99831345  19.5318904  28.29621157 -37.37057176
## 773 -16.44283376  32.99831345  19.5318904  28.29621157 -37.37057176
## 774 -16.44283376  32.99831345  19.5318904  28.29621157 -37.37057176
## 775 -16.44283376  32.99831345  19.5318904  28.29621157 -37.37057176
## 776 -16.44283376  32.99831345  19.5318904  28.29621157 -37.37057176
## 777   2.94967850  -3.89643104   1.3917084  -1.87997858  -4.91709685
## 778   2.94967850  -3.89643104   1.3917084  -1.87997858  -4.91709685
## 779   2.94967850  -3.89643104   1.3917084  -1.87997858  -4.91709685
## 780   2.94967850  -3.89643104   1.3917084  -1.87997858  -4.91709685
## 781   2.94967850  -3.89643104   1.3917084  -1.87997858  -4.91709685
## 782   2.94967850  -3.89643104   1.3917084  -1.87997858  -4.91709685
## 783   2.94967850  -3.89643104   1.3917084  -1.87997858  -4.91709685
## 784   2.94967850  -3.89643104   1.3917084  -1.87997858  -4.91709685
## 785  -0.61253885   1.33986223  -0.8448923   1.77360807  -1.81037489
## 786  -0.61253885   1.33986223  -0.8448923   1.77360807  -1.81037489
## 787  -0.61253885   1.33986223  -0.8448923   1.77360807  -1.81037489
## 788  -0.61253885   1.33986223  -0.8448923   1.77360807  -1.81037489
## 789  -0.61253885   1.33986223  -0.8448923   1.77360807  -1.81037489
## 790  -0.61253885   1.33986223  -0.8448923   1.77360807  -1.81037489
## 791  -0.61253885   1.33986223  -0.8448923   1.77360807  -1.81037489
## 792  -0.61253885   1.33986223  -0.8448923   1.77360807  -1.81037489
## 793  -0.40519888  -0.34191616  -0.5663230   4.24334339  -4.00056992
## 794  -0.40519888  -0.34191616  -0.5663230   4.24334339  -4.00056992
## 795  -0.40519888  -0.34191616  -0.5663230   4.24334339  -4.00056992
## 796  -0.40519888  -0.34191616  -0.5663230   4.24334339  -4.00056992
## 797  -0.40519888  -0.34191616  -0.5663230   4.24334339  -4.00056992
## 798  -0.40519888  -0.34191616  -0.5663230   4.24334339  -4.00056992
## 799  -0.40519888  -0.34191616  -0.5663230   4.24334339  -4.00056992
##       PC92_score   PC93_score   PC94_score   PC95_score   PC96_score
## 1   -12.96025501  -6.66331601   7.76431816   2.35629670   3.11248548
## 2   -12.96025501  -6.66331601   7.76431816   2.35629670   3.11248548
## 3   -12.96025501  -6.66331601   7.76431816   2.35629670   3.11248548
## 4   -12.96025501  -6.66331601   7.76431816   2.35629670   3.11248548
## 5   -12.96025501  -6.66331601   7.76431816   2.35629670   3.11248548
## 6   -12.96025501  -6.66331601   7.76431816   2.35629670   3.11248548
## 7   -12.96025501  -6.66331601   7.76431816   2.35629670   3.11248548
## 8   -12.96025501  -6.66331601   7.76431816   2.35629670   3.11248548
## 9     6.84705927   6.07045149   5.53074830  -3.55233822  -5.64262609
## 10    6.84705927   6.07045149   5.53074830  -3.55233822  -5.64262609
## 11    6.84705927   6.07045149   5.53074830  -3.55233822  -5.64262609
## 12    6.84705927   6.07045149   5.53074830  -3.55233822  -5.64262609
## 13    6.84705927   6.07045149   5.53074830  -3.55233822  -5.64262609
## 14    6.84705927   6.07045149   5.53074830  -3.55233822  -5.64262609
## 15    6.84705927   6.07045149   5.53074830  -3.55233822  -5.64262609
## 16    6.84705927   6.07045149   5.53074830  -3.55233822  -5.64262609
## 17    3.69287313  -0.65308603   3.14035506   3.22790847  -3.67409813
## 18    3.69287313  -0.65308603   3.14035506   3.22790847  -3.67409813
## 19    3.69287313  -0.65308603   3.14035506   3.22790847  -3.67409813
## 20    3.69287313  -0.65308603   3.14035506   3.22790847  -3.67409813
## 21    3.69287313  -0.65308603   3.14035506   3.22790847  -3.67409813
## 22    3.69287313  -0.65308603   3.14035506   3.22790847  -3.67409813
## 23    3.69287313  -0.65308603   3.14035506   3.22790847  -3.67409813
## 24    3.69287313  -0.65308603   3.14035506   3.22790847  -3.67409813
## 25   -1.85881641  -1.81337890   0.92396489  -4.96401888   5.91729409
## 26   -1.85881641  -1.81337890   0.92396489  -4.96401888   5.91729409
## 27   -1.85881641  -1.81337890   0.92396489  -4.96401888   5.91729409
## 28   -1.85881641  -1.81337890   0.92396489  -4.96401888   5.91729409
## 29   -1.85881641  -1.81337890   0.92396489  -4.96401888   5.91729409
## 30   -1.85881641  -1.81337890   0.92396489  -4.96401888   5.91729409
## 31   -1.85881641  -1.81337890   0.92396489  -4.96401888   5.91729409
## 32   -1.85881641  -1.81337890   0.92396489  -4.96401888   5.91729409
## 33   -3.57699342  12.58958891   7.06251558  -6.68013744   7.01722972
## 34   -3.57699342  12.58958891   7.06251558  -6.68013744   7.01722972
## 35   -3.57699342  12.58958891   7.06251558  -6.68013744   7.01722972
## 36   -3.57699342  12.58958891   7.06251558  -6.68013744   7.01722972
## 37   -3.57699342  12.58958891   7.06251558  -6.68013744   7.01722972
## 38   -3.57699342  12.58958891   7.06251558  -6.68013744   7.01722972
## 39   -3.57699342  12.58958891   7.06251558  -6.68013744   7.01722972
## 40   -3.57699342  12.58958891   7.06251558  -6.68013744   7.01722972
## 41   16.16497829 -11.04438744  -3.45648636  42.53217078 -74.33986560
## 42   16.16497829 -11.04438744  -3.45648636  42.53217078 -74.33986560
## 43   16.16497829 -11.04438744  -3.45648636  42.53217078 -74.33986560
## 44   16.16497829 -11.04438744  -3.45648636  42.53217078 -74.33986560
## 45   16.16497829 -11.04438744  -3.45648636  42.53217078 -74.33986560
## 46   16.16497829 -11.04438744  -3.45648636  42.53217078 -74.33986560
## 47   16.16497829 -11.04438744  -3.45648636  42.53217078 -74.33986560
## 48   16.16497829 -11.04438744  -3.45648636  42.53217078 -74.33986560
## 49    1.00795191   1.68375578  -2.95110942   0.99554155   0.41259422
## 50    1.00795191   1.68375578  -2.95110942   0.99554155   0.41259422
## 51    1.00795191   1.68375578  -2.95110942   0.99554155   0.41259422
## 52    1.00795191   1.68375578  -2.95110942   0.99554155   0.41259422
## 53    1.00795191   1.68375578  -2.95110942   0.99554155   0.41259422
## 54    1.00795191   1.68375578  -2.95110942   0.99554155   0.41259422
## 55    1.00795191   1.68375578  -2.95110942   0.99554155   0.41259422
## 56    1.00795191   1.68375578  -2.95110942   0.99554155   0.41259422
## 57   -5.05534749  -8.99343471  -0.99680382  -3.17121992   4.16874350
## 58   -5.05534749  -8.99343471  -0.99680382  -3.17121992   4.16874350
## 59   -5.05534749  -8.99343471  -0.99680382  -3.17121992   4.16874350
## 60   -5.05534749  -8.99343471  -0.99680382  -3.17121992   4.16874350
## 61   -5.05534749  -8.99343471  -0.99680382  -3.17121992   4.16874350
## 62   -5.05534749  -8.99343471  -0.99680382  -3.17121992   4.16874350
## 63   -5.05534749  -8.99343471  -0.99680382  -3.17121992   4.16874350
## 64   -5.05534749  -8.99343471  -0.99680382  -3.17121992   4.16874350
## 65    7.77327483  -0.80182783  -6.85605751  -7.28458021  -1.23650570
## 66    7.77327483  -0.80182783  -6.85605751  -7.28458021  -1.23650570
## 67    7.77327483  -0.80182783  -6.85605751  -7.28458021  -1.23650570
## 68    7.77327483  -0.80182783  -6.85605751  -7.28458021  -1.23650570
## 69    7.77327483  -0.80182783  -6.85605751  -7.28458021  -1.23650570
## 70    7.77327483  -0.80182783  -6.85605751  -7.28458021  -1.23650570
## 71    7.77327483  -0.80182783  -6.85605751  -7.28458021  -1.23650570
## 72    7.77327483  -0.80182783  -6.85605751  -7.28458021  -1.23650570
## 73   -5.59276927   5.42415058  -5.38554244  -1.52908142  -0.48896726
## 74   -5.59276927   5.42415058  -5.38554244  -1.52908142  -0.48896726
## 75   -5.59276927   5.42415058  -5.38554244  -1.52908142  -0.48896726
## 76   -5.59276927   5.42415058  -5.38554244  -1.52908142  -0.48896726
## 77   -5.59276927   5.42415058  -5.38554244  -1.52908142  -0.48896726
## 78   -5.59276927   5.42415058  -5.38554244  -1.52908142  -0.48896726
## 79   -5.59276927   5.42415058  -5.38554244  -1.52908142  -0.48896726
## 80   -5.59276927   5.42415058  -5.38554244  -1.52908142  -0.48896726
## 81   11.94556606  -3.69433875  15.65176001  -5.87307891   1.92035961
## 82   11.94556606  -3.69433875  15.65176001  -5.87307891   1.92035961
## 83   11.94556606  -3.69433875  15.65176001  -5.87307891   1.92035961
## 84   11.94556606  -3.69433875  15.65176001  -5.87307891   1.92035961
## 85   11.94556606  -3.69433875  15.65176001  -5.87307891   1.92035961
## 86   11.94556606  -3.69433875  15.65176001  -5.87307891   1.92035961
## 87   11.94556606  -3.69433875  15.65176001  -5.87307891   1.92035961
## 88   11.94556606  -3.69433875  15.65176001  -5.87307891   1.92035961
## 89    1.84467234  -1.06867803  -2.46226704   1.75458476  -0.71068778
## 90    1.84467234  -1.06867803  -2.46226704   1.75458476  -0.71068778
## 91    1.84467234  -1.06867803  -2.46226704   1.75458476  -0.71068778
## 92    1.84467234  -1.06867803  -2.46226704   1.75458476  -0.71068778
## 93    1.84467234  -1.06867803  -2.46226704   1.75458476  -0.71068778
## 94    1.84467234  -1.06867803  -2.46226704   1.75458476  -0.71068778
## 95    1.84467234  -1.06867803  -2.46226704   1.75458476  -0.71068778
## 96    1.84467234  -1.06867803  -2.46226704   1.75458476  -0.71068778
## 97   -1.58410184  -1.48565207  -4.41687220   0.89257922  -7.31033932
## 98   -1.58410184  -1.48565207  -4.41687220   0.89257922  -7.31033932
## 99   -1.58410184  -1.48565207  -4.41687220   0.89257922  -7.31033932
## 100  -1.58410184  -1.48565207  -4.41687220   0.89257922  -7.31033932
## 101  -1.58410184  -1.48565207  -4.41687220   0.89257922  -7.31033932
## 102  -1.58410184  -1.48565207  -4.41687220   0.89257922  -7.31033932
## 103  -1.58410184  -1.48565207  -4.41687220   0.89257922  -7.31033932
## 104  -1.58410184  -1.48565207  -4.41687220   0.89257922  -7.31033932
## 105  32.66139233  48.18340043 -35.85848972  38.94281124  31.40623648
## 106  32.66139233  48.18340043 -35.85848972  38.94281124  31.40623648
## 107  32.66139233  48.18340043 -35.85848972  38.94281124  31.40623648
## 108  32.66139233  48.18340043 -35.85848972  38.94281124  31.40623648
## 109  32.66139233  48.18340043 -35.85848972  38.94281124  31.40623648
## 110  32.66139233  48.18340043 -35.85848972  38.94281124  31.40623648
## 111  32.66139233  48.18340043 -35.85848972  38.94281124  31.40623648
## 112  32.66139233  48.18340043 -35.85848972  38.94281124  31.40623648
## 113  -2.07212126  -0.25413495  -0.30611390  -2.82334650  -0.63617646
## 114  -2.07212126  -0.25413495  -0.30611390  -2.82334650  -0.63617646
## 115  -2.07212126  -0.25413495  -0.30611390  -2.82334650  -0.63617646
## 116  -2.07212126  -0.25413495  -0.30611390  -2.82334650  -0.63617646
## 117  -2.07212126  -0.25413495  -0.30611390  -2.82334650  -0.63617646
## 118  -2.07212126  -0.25413495  -0.30611390  -2.82334650  -0.63617646
## 119  -2.07212126  -0.25413495  -0.30611390  -2.82334650  -0.63617646
## 120  -2.07212126  -0.25413495  -0.30611390  -2.82334650  -0.63617646
## 121  -2.43219266   0.50948874  -4.01732448  -4.98744681  -8.49351023
## 122  -2.43219266   0.50948874  -4.01732448  -4.98744681  -8.49351023
## 123  -2.43219266   0.50948874  -4.01732448  -4.98744681  -8.49351023
## 124  -2.43219266   0.50948874  -4.01732448  -4.98744681  -8.49351023
## 125  -2.43219266   0.50948874  -4.01732448  -4.98744681  -8.49351023
## 126  -2.43219266   0.50948874  -4.01732448  -4.98744681  -8.49351023
## 127  -2.43219266   0.50948874  -4.01732448  -4.98744681  -8.49351023
## 128  -2.43219266   0.50948874  -4.01732448  -4.98744681  -8.49351023
## 129  -0.70468019  -3.41791219   5.93849885   4.45411306   9.73652097
## 130  -0.70468019  -3.41791219   5.93849885   4.45411306   9.73652097
## 131  -0.70468019  -3.41791219   5.93849885   4.45411306   9.73652097
## 132  -0.70468019  -3.41791219   5.93849885   4.45411306   9.73652097
## 133  -0.70468019  -3.41791219   5.93849885   4.45411306   9.73652097
## 134  -0.70468019  -3.41791219   5.93849885   4.45411306   9.73652097
## 135  -0.70468019  -3.41791219   5.93849885   4.45411306   9.73652097
## 136  -0.70468019  -3.41791219   5.93849885   4.45411306   9.73652097
## 137  -0.65831976  -0.04816441  -0.21875408   0.70323770  -1.09352837
## 138  -0.65831976  -0.04816441  -0.21875408   0.70323770  -1.09352837
## 139  -0.65831976  -0.04816441  -0.21875408   0.70323770  -1.09352837
## 140  -0.65831976  -0.04816441  -0.21875408   0.70323770  -1.09352837
## 141  -0.65831976  -0.04816441  -0.21875408   0.70323770  -1.09352837
## 142  -0.65831976  -0.04816441  -0.21875408   0.70323770  -1.09352837
## 143  -0.65831976  -0.04816441  -0.21875408   0.70323770  -1.09352837
## 144  -0.65831976  -0.04816441  -0.21875408   0.70323770  -1.09352837
## 145   2.89494628  -1.36224947   3.26671603 -10.75222801   0.28947167
## 146   2.89494628  -1.36224947   3.26671603 -10.75222801   0.28947167
## 147   2.89494628  -1.36224947   3.26671603 -10.75222801   0.28947167
## 148   2.89494628  -1.36224947   3.26671603 -10.75222801   0.28947167
## 149   2.89494628  -1.36224947   3.26671603 -10.75222801   0.28947167
## 150   2.89494628  -1.36224947   3.26671603 -10.75222801   0.28947167
## 151   2.89494628  -1.36224947   3.26671603 -10.75222801   0.28947167
## 152   2.89494628  -1.36224947   3.26671603 -10.75222801   0.28947167
## 153   0.01365525   0.98605291  -4.47431591  -1.29277265  -1.20218517
## 154   0.01365525   0.98605291  -4.47431591  -1.29277265  -1.20218517
## 155   0.01365525   0.98605291  -4.47431591  -1.29277265  -1.20218517
## 156   0.01365525   0.98605291  -4.47431591  -1.29277265  -1.20218517
## 157   0.01365525   0.98605291  -4.47431591  -1.29277265  -1.20218517
## 158   0.01365525   0.98605291  -4.47431591  -1.29277265  -1.20218517
## 159   0.01365525   0.98605291  -4.47431591  -1.29277265  -1.20218517
## 160   0.01365525   0.98605291  -4.47431591  -1.29277265  -1.20218517
## 161   1.66066124  -2.97296663  -2.67796525  -9.51359740  14.58514662
## 162   1.66066124  -2.97296663  -2.67796525  -9.51359740  14.58514662
## 163   1.66066124  -2.97296663  -2.67796525  -9.51359740  14.58514662
## 164   1.66066124  -2.97296663  -2.67796525  -9.51359740  14.58514662
## 165   1.66066124  -2.97296663  -2.67796525  -9.51359740  14.58514662
## 166   1.66066124  -2.97296663  -2.67796525  -9.51359740  14.58514662
## 167   1.66066124  -2.97296663  -2.67796525  -9.51359740  14.58514662
## 168   1.66066124  -2.97296663  -2.67796525  -9.51359740  14.58514662
## 169  -0.94570073  -7.54715964   3.21212762  -0.07625260   3.60638772
## 170  -0.94570073  -7.54715964   3.21212762  -0.07625260   3.60638772
## 171  -0.94570073  -7.54715964   3.21212762  -0.07625260   3.60638772
## 172  -0.94570073  -7.54715964   3.21212762  -0.07625260   3.60638772
## 173  -0.94570073  -7.54715964   3.21212762  -0.07625260   3.60638772
## 174  -0.94570073  -7.54715964   3.21212762  -0.07625260   3.60638772
## 175  -0.94570073  -7.54715964   3.21212762  -0.07625260   3.60638772
## 176  -0.94570073  -7.54715964   3.21212762  -0.07625260   3.60638772
## 177  10.32324363   9.37830881  13.96222402  -6.88005047 -15.68838164
## 178  10.32324363   9.37830881  13.96222402  -6.88005047 -15.68838164
## 179  10.32324363   9.37830881  13.96222402  -6.88005047 -15.68838164
## 180  10.32324363   9.37830881  13.96222402  -6.88005047 -15.68838164
## 181  10.32324363   9.37830881  13.96222402  -6.88005047 -15.68838164
## 182  10.32324363   9.37830881  13.96222402  -6.88005047 -15.68838164
## 183  10.32324363   9.37830881  13.96222402  -6.88005047 -15.68838164
## 184  10.32324363   9.37830881  13.96222402  -6.88005047 -15.68838164
## 185   0.32740603   3.25933084   0.81634442   3.57965389   1.23984599
## 186   0.32740603   3.25933084   0.81634442   3.57965389   1.23984599
## 187   0.32740603   3.25933084   0.81634442   3.57965389   1.23984599
## 188   0.32740603   3.25933084   0.81634442   3.57965389   1.23984599
## 189   0.32740603   3.25933084   0.81634442   3.57965389   1.23984599
## 190   0.32740603   3.25933084   0.81634442   3.57965389   1.23984599
## 191   0.32740603   3.25933084   0.81634442   3.57965389   1.23984599
## 192   0.32740603   3.25933084   0.81634442   3.57965389   1.23984599
## 193  -0.41656719   2.48575797   0.30931415  -4.04847879  -3.89560038
## 194  -0.41656719   2.48575797   0.30931415  -4.04847879  -3.89560038
## 195  -0.41656719   2.48575797   0.30931415  -4.04847879  -3.89560038
## 196  -0.41656719   2.48575797   0.30931415  -4.04847879  -3.89560038
## 197  -0.41656719   2.48575797   0.30931415  -4.04847879  -3.89560038
## 198  -0.41656719   2.48575797   0.30931415  -4.04847879  -3.89560038
## 199  -0.41656719   2.48575797   0.30931415  -4.04847879  -3.89560038
## 200  -0.41656719   2.48575797   0.30931415  -4.04847879  -3.89560038
## 201  -0.67152813   0.53571217   0.29810256  -0.77857312  -0.47504990
## 202  -0.67152813   0.53571217   0.29810256  -0.77857312  -0.47504990
## 203  -0.67152813   0.53571217   0.29810256  -0.77857312  -0.47504990
## 204  -0.67152813   0.53571217   0.29810256  -0.77857312  -0.47504990
## 205  -0.67152813   0.53571217   0.29810256  -0.77857312  -0.47504990
## 206  -0.67152813   0.53571217   0.29810256  -0.77857312  -0.47504990
## 207  -0.67152813   0.53571217   0.29810256  -0.77857312  -0.47504990
## 208  -0.67152813   0.53571217   0.29810256  -0.77857312  -0.47504990
## 209  -2.89894761   0.02478692  -1.28780700   1.71427109   1.01015325
## 210  -2.89894761   0.02478692  -1.28780700   1.71427109   1.01015325
## 211  -2.89894761   0.02478692  -1.28780700   1.71427109   1.01015325
## 212  -2.89894761   0.02478692  -1.28780700   1.71427109   1.01015325
## 213  -2.89894761   0.02478692  -1.28780700   1.71427109   1.01015325
## 214  -2.89894761   0.02478692  -1.28780700   1.71427109   1.01015325
## 215  -2.89894761   0.02478692  -1.28780700   1.71427109   1.01015325
## 216  -2.89894761   0.02478692  -1.28780700   1.71427109   1.01015325
## 217  -1.03703093   0.74161646  -0.05435982   0.50360035  -0.82414458
## 218  -1.03703093   0.74161646  -0.05435982   0.50360035  -0.82414458
## 219  -1.03703093   0.74161646  -0.05435982   0.50360035  -0.82414458
## 220  -1.03703093   0.74161646  -0.05435982   0.50360035  -0.82414458
## 221  -1.03703093   0.74161646  -0.05435982   0.50360035  -0.82414458
## 222  -1.03703093   0.74161646  -0.05435982   0.50360035  -0.82414458
## 223  -1.03703093   0.74161646  -0.05435982   0.50360035  -0.82414458
## 224  -1.03703093   0.74161646  -0.05435982   0.50360035  -0.82414458
## 225  14.69786266  -2.67676930  -8.01227946   5.51239317  -8.45329992
## 226  14.69786266  -2.67676930  -8.01227946   5.51239317  -8.45329992
## 227  14.69786266  -2.67676930  -8.01227946   5.51239317  -8.45329992
## 228  14.69786266  -2.67676930  -8.01227946   5.51239317  -8.45329992
## 229  14.69786266  -2.67676930  -8.01227946   5.51239317  -8.45329992
## 230  14.69786266  -2.67676930  -8.01227946   5.51239317  -8.45329992
## 231  14.69786266  -2.67676930  -8.01227946   5.51239317  -8.45329992
## 232  14.69786266  -2.67676930  -8.01227946   5.51239317  -8.45329992
## 233  -4.43025597  -0.80360282  -3.64729360   0.27515813   0.41142143
## 234  -4.43025597  -0.80360282  -3.64729360   0.27515813   0.41142143
## 235  -4.43025597  -0.80360282  -3.64729360   0.27515813   0.41142143
## 236  -4.43025597  -0.80360282  -3.64729360   0.27515813   0.41142143
## 237  -4.43025597  -0.80360282  -3.64729360   0.27515813   0.41142143
## 238  -4.43025597  -0.80360282  -3.64729360   0.27515813   0.41142143
## 239  -4.43025597  -0.80360282  -3.64729360   0.27515813   0.41142143
## 240  -4.43025597  -0.80360282  -3.64729360   0.27515813   0.41142143
## 241   3.40082581  -2.10674534  -7.54795200   5.22206239   8.82142765
## 242   3.40082581  -2.10674534  -7.54795200   5.22206239   8.82142765
## 243   3.40082581  -2.10674534  -7.54795200   5.22206239   8.82142765
## 244   3.40082581  -2.10674534  -7.54795200   5.22206239   8.82142765
## 245   3.40082581  -2.10674534  -7.54795200   5.22206239   8.82142765
## 246   3.40082581  -2.10674534  -7.54795200   5.22206239   8.82142765
## 247   3.40082581  -2.10674534  -7.54795200   5.22206239   8.82142765
## 248   3.40082581  -2.10674534  -7.54795200   5.22206239   8.82142765
## 249  -4.82332716 -16.66068239  -0.51935119  -5.55272633  -6.91173565
## 250  -4.82332716 -16.66068239  -0.51935119  -5.55272633  -6.91173565
## 251  -4.82332716 -16.66068239  -0.51935119  -5.55272633  -6.91173565
## 252  -4.82332716 -16.66068239  -0.51935119  -5.55272633  -6.91173565
## 253  -4.82332716 -16.66068239  -0.51935119  -5.55272633  -6.91173565
## 254  -4.82332716 -16.66068239  -0.51935119  -5.55272633  -6.91173565
## 255  -4.82332716 -16.66068239  -0.51935119  -5.55272633  -6.91173565
## 256  -4.82332716 -16.66068239  -0.51935119  -5.55272633  -6.91173565
## 257  14.58243363   1.98241198 -18.15448150  30.59483719  -0.39106882
## 258  14.58243363   1.98241198 -18.15448150  30.59483719  -0.39106882
## 259  14.58243363   1.98241198 -18.15448150  30.59483719  -0.39106882
## 260  14.58243363   1.98241198 -18.15448150  30.59483719  -0.39106882
## 261  14.58243363   1.98241198 -18.15448150  30.59483719  -0.39106882
## 262  14.58243363   1.98241198 -18.15448150  30.59483719  -0.39106882
## 263  14.58243363   1.98241198 -18.15448150  30.59483719  -0.39106882
## 264  14.58243363   1.98241198 -18.15448150  30.59483719  -0.39106882
## 265   2.85375626   7.50675782  -6.07395676  -4.14883966  -7.02049251
## 266   2.85375626   7.50675782  -6.07395676  -4.14883966  -7.02049251
## 267   2.85375626   7.50675782  -6.07395676  -4.14883966  -7.02049251
## 268   2.85375626   7.50675782  -6.07395676  -4.14883966  -7.02049251
## 269   2.85375626   7.50675782  -6.07395676  -4.14883966  -7.02049251
## 270   2.85375626   7.50675782  -6.07395676  -4.14883966  -7.02049251
## 271   2.85375626   7.50675782  -6.07395676  -4.14883966  -7.02049251
## 272   2.85375626   7.50675782  -6.07395676  -4.14883966  -7.02049251
## 273   9.89896652   1.67744969  -0.88871322   2.84385450  -0.95751551
## 274   9.89896652   1.67744969  -0.88871322   2.84385450  -0.95751551
## 275   9.89896652   1.67744969  -0.88871322   2.84385450  -0.95751551
## 276   9.89896652   1.67744969  -0.88871322   2.84385450  -0.95751551
## 277   9.89896652   1.67744969  -0.88871322   2.84385450  -0.95751551
## 278   9.89896652   1.67744969  -0.88871322   2.84385450  -0.95751551
## 279   9.89896652   1.67744969  -0.88871322   2.84385450  -0.95751551
## 280   9.89896652   1.67744969  -0.88871322   2.84385450  -0.95751551
## 281  -2.05312187  -1.59469762   5.26526059   6.19120590   0.77272587
## 282  -2.05312187  -1.59469762   5.26526059   6.19120590   0.77272587
## 283  -2.05312187  -1.59469762   5.26526059   6.19120590   0.77272587
## 284  -2.05312187  -1.59469762   5.26526059   6.19120590   0.77272587
## 285  -2.05312187  -1.59469762   5.26526059   6.19120590   0.77272587
## 286  -2.05312187  -1.59469762   5.26526059   6.19120590   0.77272587
## 287  -2.05312187  -1.59469762   5.26526059   6.19120590   0.77272587
## 288  -2.05312187  -1.59469762   5.26526059   6.19120590   0.77272587
## 289 -15.23429491  -7.34730057   3.56411467  16.20688675   3.67937597
## 290 -15.23429491  -7.34730057   3.56411467  16.20688675   3.67937597
## 291 -15.23429491  -7.34730057   3.56411467  16.20688675   3.67937597
## 292 -15.23429491  -7.34730057   3.56411467  16.20688675   3.67937597
## 293 -15.23429491  -7.34730057   3.56411467  16.20688675   3.67937597
## 294 -15.23429491  -7.34730057   3.56411467  16.20688675   3.67937597
## 295 -15.23429491  -7.34730057   3.56411467  16.20688675   3.67937597
## 296 -15.23429491  -7.34730057   3.56411467  16.20688675   3.67937597
## 297  -7.38983760  12.96317076  60.02159117  -3.15637124   2.24025293
## 298  -7.38983760  12.96317076  60.02159117  -3.15637124   2.24025293
## 299  -7.38983760  12.96317076  60.02159117  -3.15637124   2.24025293
## 300  -7.38983760  12.96317076  60.02159117  -3.15637124   2.24025293
## 301  -7.38983760  12.96317076  60.02159117  -3.15637124   2.24025293
## 302  -7.38983760  12.96317076  60.02159117  -3.15637124   2.24025293
## 303  -7.38983760  12.96317076  60.02159117  -3.15637124   2.24025293
## 304  -7.38983760  12.96317076  60.02159117  -3.15637124   2.24025293
## 305   8.69514481  -6.12273357 -11.97709008   1.20860089 -13.99856961
## 306   8.69514481  -6.12273357 -11.97709008   1.20860089 -13.99856961
## 307   8.69514481  -6.12273357 -11.97709008   1.20860089 -13.99856961
## 308   8.69514481  -6.12273357 -11.97709008   1.20860089 -13.99856961
## 309   8.69514481  -6.12273357 -11.97709008   1.20860089 -13.99856961
## 310   8.69514481  -6.12273357 -11.97709008   1.20860089 -13.99856961
## 311   8.69514481  -6.12273357 -11.97709008   1.20860089 -13.99856961
## 312   8.69514481  -6.12273357 -11.97709008   1.20860089 -13.99856961
## 313  -3.74822076  -2.68718069   2.38512469   1.53345514  -4.78781591
## 314  -3.74822076  -2.68718069   2.38512469   1.53345514  -4.78781591
## 315  -3.74822076  -2.68718069   2.38512469   1.53345514  -4.78781591
## 316  -3.74822076  -2.68718069   2.38512469   1.53345514  -4.78781591
## 317  -3.74822076  -2.68718069   2.38512469   1.53345514  -4.78781591
## 318  -3.74822076  -2.68718069   2.38512469   1.53345514  -4.78781591
## 319  -3.74822076  -2.68718069   2.38512469   1.53345514  -4.78781591
## 320  -3.74822076  -2.68718069   2.38512469   1.53345514  -4.78781591
## 321   1.77123468   1.03954080  -2.54755951  -3.21920449   0.59389338
## 322   1.77123468   1.03954080  -2.54755951  -3.21920449   0.59389338
## 323   1.77123468   1.03954080  -2.54755951  -3.21920449   0.59389338
## 324   1.77123468   1.03954080  -2.54755951  -3.21920449   0.59389338
## 325   1.77123468   1.03954080  -2.54755951  -3.21920449   0.59389338
## 326   1.77123468   1.03954080  -2.54755951  -3.21920449   0.59389338
## 327   1.77123468   1.03954080  -2.54755951  -3.21920449   0.59389338
## 328   1.77123468   1.03954080  -2.54755951  -3.21920449   0.59389338
## 329  -2.77858381  -2.31900036  -4.03627348   0.21653206  -3.35671793
## 330  -2.77858381  -2.31900036  -4.03627348   0.21653206  -3.35671793
## 331  -2.77858381  -2.31900036  -4.03627348   0.21653206  -3.35671793
## 332  -2.77858381  -2.31900036  -4.03627348   0.21653206  -3.35671793
## 333  -2.77858381  -2.31900036  -4.03627348   0.21653206  -3.35671793
## 334  -2.77858381  -2.31900036  -4.03627348   0.21653206  -3.35671793
## 335  -2.77858381  -2.31900036  -4.03627348   0.21653206  -3.35671793
## 336  -2.77858381  -2.31900036  -4.03627348   0.21653206  -3.35671793
## 337  -0.87980697   1.08561776   0.10047004   0.08862212  -0.32667249
## 338  -0.87980697   1.08561776   0.10047004   0.08862212  -0.32667249
## 339  -0.87980697   1.08561776   0.10047004   0.08862212  -0.32667249
## 340  -0.87980697   1.08561776   0.10047004   0.08862212  -0.32667249
## 341  -0.87980697   1.08561776   0.10047004   0.08862212  -0.32667249
## 342  -0.87980697   1.08561776   0.10047004   0.08862212  -0.32667249
## 343  -0.87980697   1.08561776   0.10047004   0.08862212  -0.32667249
## 344  -0.87980697   1.08561776   0.10047004   0.08862212  -0.32667249
## 345  -3.78761474  -1.48027841   4.71833477  -2.90814365  -5.41894876
## 346  -3.78761474  -1.48027841   4.71833477  -2.90814365  -5.41894876
## 347  -3.78761474  -1.48027841   4.71833477  -2.90814365  -5.41894876
## 348  -3.78761474  -1.48027841   4.71833477  -2.90814365  -5.41894876
## 349  -3.78761474  -1.48027841   4.71833477  -2.90814365  -5.41894876
## 350  -3.78761474  -1.48027841   4.71833477  -2.90814365  -5.41894876
## 351  -3.78761474  -1.48027841   4.71833477  -2.90814365  -5.41894876
## 352  -3.78761474  -1.48027841   4.71833477  -2.90814365  -5.41894876
## 353  -5.61008717  -2.20803571 -17.90036222   0.35890976   9.19431036
## 354  -5.61008717  -2.20803571 -17.90036222   0.35890976   9.19431036
## 355  -5.61008717  -2.20803571 -17.90036222   0.35890976   9.19431036
## 356  -5.61008717  -2.20803571 -17.90036222   0.35890976   9.19431036
## 357  -5.61008717  -2.20803571 -17.90036222   0.35890976   9.19431036
## 358  -5.61008717  -2.20803571 -17.90036222   0.35890976   9.19431036
## 359  -5.61008717  -2.20803571 -17.90036222   0.35890976   9.19431036
## 360  -5.61008717  -2.20803571 -17.90036222   0.35890976   9.19431036
## 361   0.45822816   4.42072813   2.00608623  -1.04682025   1.65047498
## 362   0.45822816   4.42072813   2.00608623  -1.04682025   1.65047498
## 363   0.45822816   4.42072813   2.00608623  -1.04682025   1.65047498
## 364   0.45822816   4.42072813   2.00608623  -1.04682025   1.65047498
## 365   0.45822816   4.42072813   2.00608623  -1.04682025   1.65047498
## 366   0.45822816   4.42072813   2.00608623  -1.04682025   1.65047498
## 367   0.45822816   4.42072813   2.00608623  -1.04682025   1.65047498
## 368   0.45822816   4.42072813   2.00608623  -1.04682025   1.65047498
## 369  -5.29331041 -23.35057931  -3.14746329  -0.51171825   7.86221485
## 370  -5.29331041 -23.35057931  -3.14746329  -0.51171825   7.86221485
## 371  -5.29331041 -23.35057931  -3.14746329  -0.51171825   7.86221485
## 372  -5.29331041 -23.35057931  -3.14746329  -0.51171825   7.86221485
## 373  -5.29331041 -23.35057931  -3.14746329  -0.51171825   7.86221485
## 374  -5.29331041 -23.35057931  -3.14746329  -0.51171825   7.86221485
## 375  -5.29331041 -23.35057931  -3.14746329  -0.51171825   7.86221485
## 376  -5.29331041 -23.35057931  -3.14746329  -0.51171825   7.86221485
## 377 -21.09382488  -0.59516965   6.14344295   0.91312082  15.69149712
## 378 -21.09382488  -0.59516965   6.14344295   0.91312082  15.69149712
## 379 -21.09382488  -0.59516965   6.14344295   0.91312082  15.69149712
## 380 -21.09382488  -0.59516965   6.14344295   0.91312082  15.69149712
## 381 -21.09382488  -0.59516965   6.14344295   0.91312082  15.69149712
## 382 -21.09382488  -0.59516965   6.14344295   0.91312082  15.69149712
## 383 -21.09382488  -0.59516965   6.14344295   0.91312082  15.69149712
## 384 -21.09382488  -0.59516965   6.14344295   0.91312082  15.69149712
## 385   0.47540595   5.27481383  36.01354016  -0.91234533 -28.56274690
## 386   0.47540595   5.27481383  36.01354016  -0.91234533 -28.56274690
## 387   0.47540595   5.27481383  36.01354016  -0.91234533 -28.56274690
## 388   0.47540595   5.27481383  36.01354016  -0.91234533 -28.56274690
## 389   0.47540595   5.27481383  36.01354016  -0.91234533 -28.56274690
## 390   0.47540595   5.27481383  36.01354016  -0.91234533 -28.56274690
## 391   0.47540595   5.27481383  36.01354016  -0.91234533 -28.56274690
## 392   0.47540595   5.27481383  36.01354016  -0.91234533 -28.56274690
## 393   0.22481156  -3.99103142  -1.76935573  -2.66181471  -1.57042118
## 394   0.22481156  -3.99103142  -1.76935573  -2.66181471  -1.57042118
## 395   0.22481156  -3.99103142  -1.76935573  -2.66181471  -1.57042118
## 396   0.22481156  -3.99103142  -1.76935573  -2.66181471  -1.57042118
## 397   0.22481156  -3.99103142  -1.76935573  -2.66181471  -1.57042118
## 398   0.22481156  -3.99103142  -1.76935573  -2.66181471  -1.57042118
## 399   0.22481156  -3.99103142  -1.76935573  -2.66181471  -1.57042118
## 400   0.22481156  -3.99103142  -1.76935573  -2.66181471  -1.57042118
## 401   0.34470365   1.14451134  -1.60020925  -0.48842340  -1.29805891
## 402   0.34470365   1.14451134  -1.60020925  -0.48842340  -1.29805891
## 403   0.34470365   1.14451134  -1.60020925  -0.48842340  -1.29805891
## 404   0.34470365   1.14451134  -1.60020925  -0.48842340  -1.29805891
## 405   0.34470365   1.14451134  -1.60020925  -0.48842340  -1.29805891
## 406   0.34470365   1.14451134  -1.60020925  -0.48842340  -1.29805891
## 407   0.34470365   1.14451134  -1.60020925  -0.48842340  -1.29805891
## 408   0.34470365   1.14451134  -1.60020925  -0.48842340  -1.29805891
## 409  -3.33430956  -1.83968802  -1.36539787   1.68372204  -3.40665611
## 410  -3.33430956  -1.83968802  -1.36539787   1.68372204  -3.40665611
## 411  -3.33430956  -1.83968802  -1.36539787   1.68372204  -3.40665611
## 412  -3.33430956  -1.83968802  -1.36539787   1.68372204  -3.40665611
## 413  -3.33430956  -1.83968802  -1.36539787   1.68372204  -3.40665611
## 414  -3.33430956  -1.83968802  -1.36539787   1.68372204  -3.40665611
## 415  -3.33430956  -1.83968802  -1.36539787   1.68372204  -3.40665611
## 416  -3.33430956  -1.83968802  -1.36539787   1.68372204  -3.40665611
## 417 -49.80205617 -16.04269462  15.74868667  -3.45613458  -1.04141519
## 418 -49.80205617 -16.04269462  15.74868667  -3.45613458  -1.04141519
## 419 -49.80205617 -16.04269462  15.74868667  -3.45613458  -1.04141519
## 420 -49.80205617 -16.04269462  15.74868667  -3.45613458  -1.04141519
## 421 -49.80205617 -16.04269462  15.74868667  -3.45613458  -1.04141519
## 422 -49.80205617 -16.04269462  15.74868667  -3.45613458  -1.04141519
## 423 -49.80205617 -16.04269462  15.74868667  -3.45613458  -1.04141519
## 424 -49.80205617 -16.04269462  15.74868667  -3.45613458  -1.04141519
## 425  -0.91517985  -1.81296431   5.84888438   0.83148318   1.37115831
## 426  -0.91517985  -1.81296431   5.84888438   0.83148318   1.37115831
## 427  -0.91517985  -1.81296431   5.84888438   0.83148318   1.37115831
## 428  -0.91517985  -1.81296431   5.84888438   0.83148318   1.37115831
## 429  -0.91517985  -1.81296431   5.84888438   0.83148318   1.37115831
## 430  -0.91517985  -1.81296431   5.84888438   0.83148318   1.37115831
## 431  -0.91517985  -1.81296431   5.84888438   0.83148318   1.37115831
## 432  -0.91517985  -1.81296431   5.84888438   0.83148318   1.37115831
## 433   3.39774619  -4.42341259   9.70354968  -5.56626996   6.71846740
## 434   3.39774619  -4.42341259   9.70354968  -5.56626996   6.71846740
## 435   3.39774619  -4.42341259   9.70354968  -5.56626996   6.71846740
## 436   3.39774619  -4.42341259   9.70354968  -5.56626996   6.71846740
## 437   3.39774619  -4.42341259   9.70354968  -5.56626996   6.71846740
## 438   3.39774619  -4.42341259   9.70354968  -5.56626996   6.71846740
## 439   3.39774619  -4.42341259   9.70354968  -5.56626996   6.71846740
## 440   3.39774619  -4.42341259   9.70354968  -5.56626996   6.71846740
## 441  -0.95945601  -1.32300302   1.12557120   0.72682711   1.67238599
## 442  -0.95945601  -1.32300302   1.12557120   0.72682711   1.67238599
## 443  -0.95945601  -1.32300302   1.12557120   0.72682711   1.67238599
## 444  -0.95945601  -1.32300302   1.12557120   0.72682711   1.67238599
## 445  -0.95945601  -1.32300302   1.12557120   0.72682711   1.67238599
## 446  -0.95945601  -1.32300302   1.12557120   0.72682711   1.67238599
## 447  -0.95945601  -1.32300302   1.12557120   0.72682711   1.67238599
## 448  -0.95945601  -1.32300302   1.12557120   0.72682711   1.67238599
## 449   4.63076696  -9.70384921  -9.05465121   6.58898252  -7.29896773
## 450   4.63076696  -9.70384921  -9.05465121   6.58898252  -7.29896773
## 451   4.63076696  -9.70384921  -9.05465121   6.58898252  -7.29896773
## 452   4.63076696  -9.70384921  -9.05465121   6.58898252  -7.29896773
## 453   4.63076696  -9.70384921  -9.05465121   6.58898252  -7.29896773
## 454   4.63076696  -9.70384921  -9.05465121   6.58898252  -7.29896773
## 455   4.63076696  -9.70384921  -9.05465121   6.58898252  -7.29896773
## 456   4.63076696  -9.70384921  -9.05465121   6.58898252  -7.29896773
## 457   1.24715960  -7.19980210   2.71634946   8.72025187   3.11402010
## 458   1.24715960  -7.19980210   2.71634946   8.72025187   3.11402010
## 459   1.24715960  -7.19980210   2.71634946   8.72025187   3.11402010
## 460   1.24715960  -7.19980210   2.71634946   8.72025187   3.11402010
## 461   1.24715960  -7.19980210   2.71634946   8.72025187   3.11402010
## 462   1.24715960  -7.19980210   2.71634946   8.72025187   3.11402010
## 463   1.24715960  -7.19980210   2.71634946   8.72025187   3.11402010
## 464   1.24715960  -7.19980210   2.71634946   8.72025187   3.11402010
## 465  -6.52290694  -2.90502013  -2.66439974  -9.08800403   5.21765485
## 466  -6.52290694  -2.90502013  -2.66439974  -9.08800403   5.21765485
## 467  -6.52290694  -2.90502013  -2.66439974  -9.08800403   5.21765485
## 468  -6.52290694  -2.90502013  -2.66439974  -9.08800403   5.21765485
## 469  -6.52290694  -2.90502013  -2.66439974  -9.08800403   5.21765485
## 470  -6.52290694  -2.90502013  -2.66439974  -9.08800403   5.21765485
## 471  -6.52290694  -2.90502013  -2.66439974  -9.08800403   5.21765485
## 472  -6.52290694  -2.90502013  -2.66439974  -9.08800403   5.21765485
## 473   3.39244202  -1.92484095  -0.31608051  -3.30696969  -1.94234338
## 474   3.39244202  -1.92484095  -0.31608051  -3.30696969  -1.94234338
## 475   3.39244202  -1.92484095  -0.31608051  -3.30696969  -1.94234338
## 476   3.39244202  -1.92484095  -0.31608051  -3.30696969  -1.94234338
## 477   3.39244202  -1.92484095  -0.31608051  -3.30696969  -1.94234338
## 478   3.39244202  -1.92484095  -0.31608051  -3.30696969  -1.94234338
## 479   3.39244202  -1.92484095  -0.31608051  -3.30696969  -1.94234338
## 480   3.39244202  -1.92484095  -0.31608051  -3.30696969  -1.94234338
## 481  -0.63399236   2.06936322  -1.98155807  -1.29493593   0.58292170
## 482  -0.63399236   2.06936322  -1.98155807  -1.29493593   0.58292170
## 483  -0.63399236   2.06936322  -1.98155807  -1.29493593   0.58292170
## 484  -0.63399236   2.06936322  -1.98155807  -1.29493593   0.58292170
## 485  -0.63399236   2.06936322  -1.98155807  -1.29493593   0.58292170
## 486  -0.63399236   2.06936322  -1.98155807  -1.29493593   0.58292170
## 487  -0.63399236   2.06936322  -1.98155807  -1.29493593   0.58292170
## 488  -0.63399236   2.06936322  -1.98155807  -1.29493593   0.58292170
## 489  -0.87821779   0.55069207   0.98321483  -0.36040547   0.23147290
## 490  -0.87821779   0.55069207   0.98321483  -0.36040547   0.23147290
## 491  -0.87821779   0.55069207   0.98321483  -0.36040547   0.23147290
## 492  -0.87821779   0.55069207   0.98321483  -0.36040547   0.23147290
## 493  -0.87821779   0.55069207   0.98321483  -0.36040547   0.23147290
## 494  -0.87821779   0.55069207   0.98321483  -0.36040547   0.23147290
## 495  -0.87821779   0.55069207   0.98321483  -0.36040547   0.23147290
## 496  -0.87821779   0.55069207   0.98321483  -0.36040547   0.23147290
## 497  -4.90922082  58.86904184 -14.60559457  18.56484176  -0.12275985
## 498  -4.90922082  58.86904184 -14.60559457  18.56484176  -0.12275985
## 499  -4.90922082  58.86904184 -14.60559457  18.56484176  -0.12275985
## 500  -4.90922082  58.86904184 -14.60559457  18.56484176  -0.12275985
## 501  -4.90922082  58.86904184 -14.60559457  18.56484176  -0.12275985
## 502  -4.90922082  58.86904184 -14.60559457  18.56484176  -0.12275985
## 503  -4.90922082  58.86904184 -14.60559457  18.56484176  -0.12275985
## 504  -4.90922082  58.86904184 -14.60559457  18.56484176  -0.12275985
## 505   1.05022649   1.38974047   3.08938032   1.64459947   1.26672781
## 506   1.05022649   1.38974047   3.08938032   1.64459947   1.26672781
## 507   1.05022649   1.38974047   3.08938032   1.64459947   1.26672781
## 508   1.05022649   1.38974047   3.08938032   1.64459947   1.26672781
## 509   1.05022649   1.38974047   3.08938032   1.64459947   1.26672781
## 510   1.05022649   1.38974047   3.08938032   1.64459947   1.26672781
## 511   1.05022649   1.38974047   3.08938032   1.64459947   1.26672781
## 512   1.05022649   1.38974047   3.08938032   1.64459947   1.26672781
## 513   3.81492699  -1.58783611  -2.88818163  -5.09579524   3.31000578
## 514   3.81492699  -1.58783611  -2.88818163  -5.09579524   3.31000578
## 515   3.81492699  -1.58783611  -2.88818163  -5.09579524   3.31000578
## 516   3.81492699  -1.58783611  -2.88818163  -5.09579524   3.31000578
## 517   3.81492699  -1.58783611  -2.88818163  -5.09579524   3.31000578
## 518   3.81492699  -1.58783611  -2.88818163  -5.09579524   3.31000578
## 519   3.81492699  -1.58783611  -2.88818163  -5.09579524   3.31000578
## 520   3.81492699  -1.58783611  -2.88818163  -5.09579524   3.31000578
## 521   3.56957097  -0.09438460  -0.46449864   6.50655403  -4.01667117
## 522   3.56957097  -0.09438460  -0.46449864   6.50655403  -4.01667117
## 523   3.56957097  -0.09438460  -0.46449864   6.50655403  -4.01667117
## 524   3.56957097  -0.09438460  -0.46449864   6.50655403  -4.01667117
## 525   3.56957097  -0.09438460  -0.46449864   6.50655403  -4.01667117
## 526   3.56957097  -0.09438460  -0.46449864   6.50655403  -4.01667117
## 527   3.56957097  -0.09438460  -0.46449864   6.50655403  -4.01667117
## 528   3.56957097  -0.09438460  -0.46449864   6.50655403  -4.01667117
## 529  -5.39970244   3.54493607  -6.33262730   0.26001215  -2.02099233
## 530  -5.39970244   3.54493607  -6.33262730   0.26001215  -2.02099233
## 531  -5.39970244   3.54493607  -6.33262730   0.26001215  -2.02099233
## 532  -5.39970244   3.54493607  -6.33262730   0.26001215  -2.02099233
## 533  -5.39970244   3.54493607  -6.33262730   0.26001215  -2.02099233
## 534  -5.39970244   3.54493607  -6.33262730   0.26001215  -2.02099233
## 535  -5.39970244   3.54493607  -6.33262730   0.26001215  -2.02099233
## 536  -5.39970244   3.54493607  -6.33262730   0.26001215  -2.02099233
## 537  -8.90010461  -9.47877128   1.92556323  -9.52742554   0.79330772
## 538  -8.90010461  -9.47877128   1.92556323  -9.52742554   0.79330772
## 539  -8.90010461  -9.47877128   1.92556323  -9.52742554   0.79330772
## 540  -8.90010461  -9.47877128   1.92556323  -9.52742554   0.79330772
## 541  -8.90010461  -9.47877128   1.92556323  -9.52742554   0.79330772
## 542  -8.90010461  -9.47877128   1.92556323  -9.52742554   0.79330772
## 543  -8.90010461  -9.47877128   1.92556323  -9.52742554   0.79330772
## 544  -8.90010461  -9.47877128   1.92556323  -9.52742554   0.79330772
## 545   9.36890331  15.25479972   0.83115512   6.91752009  -8.52730273
## 546   9.36890331  15.25479972   0.83115512   6.91752009  -8.52730273
## 547   9.36890331  15.25479972   0.83115512   6.91752009  -8.52730273
## 548   9.36890331  15.25479972   0.83115512   6.91752009  -8.52730273
## 549   9.36890331  15.25479972   0.83115512   6.91752009  -8.52730273
## 550   9.36890331  15.25479972   0.83115512   6.91752009  -8.52730273
## 551   9.36890331  15.25479972   0.83115512   6.91752009  -8.52730273
## 552   9.36890331  15.25479972   0.83115512   6.91752009  -8.52730273
## 553   0.67852582   4.20678185   1.80907057   0.03806290   0.08606777
## 554   0.67852582   4.20678185   1.80907057   0.03806290   0.08606777
## 555   0.67852582   4.20678185   1.80907057   0.03806290   0.08606777
## 556   0.67852582   4.20678185   1.80907057   0.03806290   0.08606777
## 557   0.67852582   4.20678185   1.80907057   0.03806290   0.08606777
## 558   0.67852582   4.20678185   1.80907057   0.03806290   0.08606777
## 559   0.67852582   4.20678185   1.80907057   0.03806290   0.08606777
## 560   0.67852582   4.20678185   1.80907057   0.03806290   0.08606777
## 561 -13.59019713  -8.86337629   4.04338916  -1.84548098  19.09870142
## 562 -13.59019713  -8.86337629   4.04338916  -1.84548098  19.09870142
## 563 -13.59019713  -8.86337629   4.04338916  -1.84548098  19.09870142
## 564 -13.59019713  -8.86337629   4.04338916  -1.84548098  19.09870142
## 565 -13.59019713  -8.86337629   4.04338916  -1.84548098  19.09870142
## 566 -13.59019713  -8.86337629   4.04338916  -1.84548098  19.09870142
## 567 -13.59019713  -8.86337629   4.04338916  -1.84548098  19.09870142
## 568 -13.59019713  -8.86337629   4.04338916  -1.84548098  19.09870142
## 569  -4.69143484  -4.78328357  -8.51203459   1.98978375  -4.57584263
## 570  -4.69143484  -4.78328357  -8.51203459   1.98978375  -4.57584263
## 571  -4.69143484  -4.78328357  -8.51203459   1.98978375  -4.57584263
## 572  -4.69143484  -4.78328357  -8.51203459   1.98978375  -4.57584263
## 573  -4.69143484  -4.78328357  -8.51203459   1.98978375  -4.57584263
## 574  -4.69143484  -4.78328357  -8.51203459   1.98978375  -4.57584263
## 575  -4.69143484  -4.78328357  -8.51203459   1.98978375  -4.57584263
## 576  -4.69143484  -4.78328357  -8.51203459   1.98978375  -4.57584263
## 577 -28.05116490  25.14812409  -1.20013029  11.36612499  -7.58081365
## 578 -28.05116490  25.14812409  -1.20013029  11.36612499  -7.58081365
## 579 -28.05116490  25.14812409  -1.20013029  11.36612499  -7.58081365
## 580 -28.05116490  25.14812409  -1.20013029  11.36612499  -7.58081365
## 581 -28.05116490  25.14812409  -1.20013029  11.36612499  -7.58081365
## 582 -28.05116490  25.14812409  -1.20013029  11.36612499  -7.58081365
## 583 -28.05116490  25.14812409  -1.20013029  11.36612499  -7.58081365
## 584 -28.05116490  25.14812409  -1.20013029  11.36612499  -7.58081365
## 585  -3.74637734   2.17651361   1.83710195  -0.90654475   5.13550253
## 586  -3.74637734   2.17651361   1.83710195  -0.90654475   5.13550253
## 587  -3.74637734   2.17651361   1.83710195  -0.90654475   5.13550253
## 588  -3.74637734   2.17651361   1.83710195  -0.90654475   5.13550253
## 589  -3.74637734   2.17651361   1.83710195  -0.90654475   5.13550253
## 590  -3.74637734   2.17651361   1.83710195  -0.90654475   5.13550253
## 591  -3.74637734   2.17651361   1.83710195  -0.90654475   5.13550253
## 592  -3.74637734   2.17651361   1.83710195  -0.90654475   5.13550253
## 593   0.41809683  -0.97229233   2.98380698  -0.04122908   1.98979471
## 594   0.41809683  -0.97229233   2.98380698  -0.04122908   1.98979471
## 595   0.41809683  -0.97229233   2.98380698  -0.04122908   1.98979471
## 596   0.41809683  -0.97229233   2.98380698  -0.04122908   1.98979471
## 597   0.41809683  -0.97229233   2.98380698  -0.04122908   1.98979471
## 598   0.41809683  -0.97229233   2.98380698  -0.04122908   1.98979471
## 599   0.41809683  -0.97229233   2.98380698  -0.04122908   1.98979471
## 600   0.41809683  -0.97229233   2.98380698  -0.04122908   1.98979471
## 601  68.53255516 -30.67488114  15.70873350 -23.66228665 -14.25764742
## 602  68.53255516 -30.67488114  15.70873350 -23.66228665 -14.25764742
## 603  68.53255516 -30.67488114  15.70873350 -23.66228665 -14.25764742
## 604  68.53255516 -30.67488114  15.70873350 -23.66228665 -14.25764742
## 605  68.53255516 -30.67488114  15.70873350 -23.66228665 -14.25764742
## 606  68.53255516 -30.67488114  15.70873350 -23.66228665 -14.25764742
## 607  68.53255516 -30.67488114  15.70873350 -23.66228665 -14.25764742
## 608  68.53255516 -30.67488114  15.70873350 -23.66228665 -14.25764742
## 609  15.24733095 -17.74138673  -7.54858745   6.03269128  -3.87264857
## 610  15.24733095 -17.74138673  -7.54858745   6.03269128  -3.87264857
## 611  15.24733095 -17.74138673  -7.54858745   6.03269128  -3.87264857
## 612  15.24733095 -17.74138673  -7.54858745   6.03269128  -3.87264857
## 613  15.24733095 -17.74138673  -7.54858745   6.03269128  -3.87264857
## 614  15.24733095 -17.74138673  -7.54858745   6.03269128  -3.87264857
## 615  15.24733095 -17.74138673  -7.54858745   6.03269128  -3.87264857
## 616  15.24733095 -17.74138673  -7.54858745   6.03269128  -3.87264857
## 617  10.34895573  -2.57915272  -3.06742848  -2.74767222   1.13546080
## 618  10.34895573  -2.57915272  -3.06742848  -2.74767222   1.13546080
## 619  10.34895573  -2.57915272  -3.06742848  -2.74767222   1.13546080
## 620  10.34895573  -2.57915272  -3.06742848  -2.74767222   1.13546080
## 621  10.34895573  -2.57915272  -3.06742848  -2.74767222   1.13546080
## 622  10.34895573  -2.57915272  -3.06742848  -2.74767222   1.13546080
## 623  10.34895573  -2.57915272  -3.06742848  -2.74767222   1.13546080
## 624  10.34895573  -2.57915272  -3.06742848  -2.74767222   1.13546080
## 625  -2.30433702   1.49778668  -3.49675985  -1.17886587   2.13323222
## 626  -2.30433702   1.49778668  -3.49675985  -1.17886587   2.13323222
## 627  -2.30433702   1.49778668  -3.49675985  -1.17886587   2.13323222
## 628  -2.30433702   1.49778668  -3.49675985  -1.17886587   2.13323222
## 629  -2.30433702   1.49778668  -3.49675985  -1.17886587   2.13323222
## 630  -2.30433702   1.49778668  -3.49675985  -1.17886587   2.13323222
## 631  -2.30433702   1.49778668  -3.49675985  -1.17886587   2.13323222
## 632  -2.30433702   1.49778668  -3.49675985  -1.17886587   2.13323222
## 633  -3.95983631  14.91396626  23.95632526   1.36945199  24.58054128
## 634  -3.95983631  14.91396626  23.95632526   1.36945199  24.58054128
## 635  -3.95983631  14.91396626  23.95632526   1.36945199  24.58054128
## 636  -3.95983631  14.91396626  23.95632526   1.36945199  24.58054128
## 637  -3.95983631  14.91396626  23.95632526   1.36945199  24.58054128
## 638  -3.95983631  14.91396626  23.95632526   1.36945199  24.58054128
## 639  -3.95983631  14.91396626  23.95632526   1.36945199  24.58054128
## 640  -3.95983631  14.91396626  23.95632526   1.36945199  24.58054128
## 641  -1.80374474  -1.99041131   1.46316991   2.16206666   1.84598010
## 642  -1.80374474  -1.99041131   1.46316991   2.16206666   1.84598010
## 643  -1.80374474  -1.99041131   1.46316991   2.16206666   1.84598010
## 644  -1.80374474  -1.99041131   1.46316991   2.16206666   1.84598010
## 645  -1.80374474  -1.99041131   1.46316991   2.16206666   1.84598010
## 646  -1.80374474  -1.99041131   1.46316991   2.16206666   1.84598010
## 647  -1.80374474  -1.99041131   1.46316991   2.16206666   1.84598010
## 648  -1.80374474  -1.99041131   1.46316991   2.16206666   1.84598010
## 649 -15.65411021 -14.05715994   5.55538671   4.13188176   1.37645263
## 650 -15.65411021 -14.05715994   5.55538671   4.13188176   1.37645263
## 651 -15.65411021 -14.05715994   5.55538671   4.13188176   1.37645263
## 652 -15.65411021 -14.05715994   5.55538671   4.13188176   1.37645263
## 653 -15.65411021 -14.05715994   5.55538671   4.13188176   1.37645263
## 654 -15.65411021 -14.05715994   5.55538671   4.13188176   1.37645263
## 655 -15.65411021 -14.05715994   5.55538671   4.13188176   1.37645263
## 656 -15.65411021 -14.05715994   5.55538671   4.13188176   1.37645263
## 657  -2.09830394   1.85523210   0.33549374  -2.74247523   1.29225166
## 658  -2.09830394   1.85523210   0.33549374  -2.74247523   1.29225166
## 659  -2.09830394   1.85523210   0.33549374  -2.74247523   1.29225166
## 660  -2.09830394   1.85523210   0.33549374  -2.74247523   1.29225166
## 661  -2.09830394   1.85523210   0.33549374  -2.74247523   1.29225166
## 662  -2.09830394   1.85523210   0.33549374  -2.74247523   1.29225166
## 663  -2.09830394   1.85523210   0.33549374  -2.74247523   1.29225166
## 664  -2.09830394   1.85523210   0.33549374  -2.74247523   1.29225166
## 665   1.76952057  -0.79561962   1.04060477   3.35249860   0.82007177
## 666   1.76952057  -0.79561962   1.04060477   3.35249860   0.82007177
## 667   1.76952057  -0.79561962   1.04060477   3.35249860   0.82007177
## 668   1.76952057  -0.79561962   1.04060477   3.35249860   0.82007177
## 669   1.76952057  -0.79561962   1.04060477   3.35249860   0.82007177
## 670   1.76952057  -0.79561962   1.04060477   3.35249860   0.82007177
## 671   1.76952057  -0.79561962   1.04060477   3.35249860   0.82007177
## 672   1.76952057  -0.79561962   1.04060477   3.35249860   0.82007177
## 673   8.24187287   8.23332717  -6.42710361  17.31769353  11.59038435
## 674   8.24187287   8.23332717  -6.42710361  17.31769353  11.59038435
## 675   8.24187287   8.23332717  -6.42710361  17.31769353  11.59038435
## 676   8.24187287   8.23332717  -6.42710361  17.31769353  11.59038435
## 677   8.24187287   8.23332717  -6.42710361  17.31769353  11.59038435
## 678   8.24187287   8.23332717  -6.42710361  17.31769353  11.59038435
## 679   8.24187287   8.23332717  -6.42710361  17.31769353  11.59038435
## 680   8.24187287   8.23332717  -6.42710361  17.31769353  11.59038435
## 681   1.23221698   2.41802341  -1.97846330  -1.29930724  -3.30658641
## 682   1.23221698   2.41802341  -1.97846330  -1.29930724  -3.30658641
## 683   1.23221698   2.41802341  -1.97846330  -1.29930724  -3.30658641
## 684   1.23221698   2.41802341  -1.97846330  -1.29930724  -3.30658641
## 685   1.23221698   2.41802341  -1.97846330  -1.29930724  -3.30658641
## 686   1.23221698   2.41802341  -1.97846330  -1.29930724  -3.30658641
## 687   1.23221698   2.41802341  -1.97846330  -1.29930724  -3.30658641
## 688   1.23221698   2.41802341  -1.97846330  -1.29930724  -3.30658641
## 689  -3.35476032 -27.26229909 -18.18878551   3.03773006  21.66453856
## 690  -3.35476032 -27.26229909 -18.18878551   3.03773006  21.66453856
## 691  -3.35476032 -27.26229909 -18.18878551   3.03773006  21.66453856
## 692  -3.35476032 -27.26229909 -18.18878551   3.03773006  21.66453856
## 693  -3.35476032 -27.26229909 -18.18878551   3.03773006  21.66453856
## 694  -3.35476032 -27.26229909 -18.18878551   3.03773006  21.66453856
## 695  -3.35476032 -27.26229909 -18.18878551   3.03773006  21.66453856
## 696  -3.35476032 -27.26229909 -18.18878551   3.03773006  21.66453856
## 697   1.79402302  -7.48627469   1.78641486   0.81663047  -1.64571107
## 698   1.79402302  -7.48627469   1.78641486   0.81663047  -1.64571107
## 699   1.79402302  -7.48627469   1.78641486   0.81663047  -1.64571107
## 700   1.79402302  -7.48627469   1.78641486   0.81663047  -1.64571107
## 701   1.79402302  -7.48627469   1.78641486   0.81663047  -1.64571107
## 702   1.79402302  -7.48627469   1.78641486   0.81663047  -1.64571107
## 703   1.79402302  -7.48627469   1.78641486   0.81663047  -1.64571107
## 704   1.79402302  -7.48627469   1.78641486   0.81663047  -1.64571107
## 705   5.81130563  -1.62265824   8.27793095   4.87891365  -2.14922061
## 706   5.81130563  -1.62265824   8.27793095   4.87891365  -2.14922061
## 707   5.81130563  -1.62265824   8.27793095   4.87891365  -2.14922061
## 708   5.81130563  -1.62265824   8.27793095   4.87891365  -2.14922061
## 709   5.81130563  -1.62265824   8.27793095   4.87891365  -2.14922061
## 710   5.81130563  -1.62265824   8.27793095   4.87891365  -2.14922061
## 711   5.81130563  -1.62265824   8.27793095   4.87891365  -2.14922061
## 712   5.81130563  -1.62265824   8.27793095   4.87891365  -2.14922061
## 713  -6.47732270 -43.91707173 -55.81895523  -8.26574928   7.54029578
## 714  -6.47732270 -43.91707173 -55.81895523  -8.26574928   7.54029578
## 715  -6.47732270 -43.91707173 -55.81895523  -8.26574928   7.54029578
## 716  -6.47732270 -43.91707173 -55.81895523  -8.26574928   7.54029578
## 717  -6.47732270 -43.91707173 -55.81895523  -8.26574928   7.54029578
## 718  -6.47732270 -43.91707173 -55.81895523  -8.26574928   7.54029578
## 719  -6.47732270 -43.91707173 -55.81895523  -8.26574928   7.54029578
## 720  -6.47732270 -43.91707173 -55.81895523  -8.26574928   7.54029578
## 721  12.68051107  14.00163229  -7.71417153  -5.61105347   0.14760818
## 722  12.68051107  14.00163229  -7.71417153  -5.61105347   0.14760818
## 723  12.68051107  14.00163229  -7.71417153  -5.61105347   0.14760818
## 724  12.68051107  14.00163229  -7.71417153  -5.61105347   0.14760818
## 725  12.68051107  14.00163229  -7.71417153  -5.61105347   0.14760818
## 726  12.68051107  14.00163229  -7.71417153  -5.61105347   0.14760818
## 727  12.68051107  14.00163229  -7.71417153  -5.61105347   0.14760818
## 728  12.68051107  14.00163229  -7.71417153  -5.61105347   0.14760818
## 729  -0.18216953   2.22405500   0.13611385  -0.78850426   1.84867040
## 730  -0.18216953   2.22405500   0.13611385  -0.78850426   1.84867040
## 731  -0.18216953   2.22405500   0.13611385  -0.78850426   1.84867040
## 732  -0.18216953   2.22405500   0.13611385  -0.78850426   1.84867040
## 733  -0.18216953   2.22405500   0.13611385  -0.78850426   1.84867040
## 734  -0.18216953   2.22405500   0.13611385  -0.78850426   1.84867040
## 735  -0.18216953   2.22405500   0.13611385  -0.78850426   1.84867040
## 736  -0.18216953   2.22405500   0.13611385  -0.78850426   1.84867040
## 737 -28.55048680  -2.18098322   1.30166531  14.41782370   6.31963667
## 738 -28.55048680  -2.18098322   1.30166531  14.41782370   6.31963667
## 739 -28.55048680  -2.18098322   1.30166531  14.41782370   6.31963667
## 740 -28.55048680  -2.18098322   1.30166531  14.41782370   6.31963667
## 741 -28.55048680  -2.18098322   1.30166531  14.41782370   6.31963667
## 742 -28.55048680  -2.18098322   1.30166531  14.41782370   6.31963667
## 743 -28.55048680  -2.18098322   1.30166531  14.41782370   6.31963667
## 744 -28.55048680  -2.18098322   1.30166531  14.41782370   6.31963667
## 745  -3.28054320  28.70090654  14.62004782  -7.62769289 -23.26980226
## 746  -3.28054320  28.70090654  14.62004782  -7.62769289 -23.26980226
## 747  -3.28054320  28.70090654  14.62004782  -7.62769289 -23.26980226
## 748  -3.28054320  28.70090654  14.62004782  -7.62769289 -23.26980226
## 749  -3.28054320  28.70090654  14.62004782  -7.62769289 -23.26980226
## 750  -3.28054320  28.70090654  14.62004782  -7.62769289 -23.26980226
## 751  -3.28054320  28.70090654  14.62004782  -7.62769289 -23.26980226
## 752  -3.28054320  28.70090654  14.62004782  -7.62769289 -23.26980226
## 753  -5.74584808  -1.51106108  -8.78815949  11.55030159   0.27683093
## 754  -5.74584808  -1.51106108  -8.78815949  11.55030159   0.27683093
## 755  -5.74584808  -1.51106108  -8.78815949  11.55030159   0.27683093
## 756  -5.74584808  -1.51106108  -8.78815949  11.55030159   0.27683093
## 757  -5.74584808  -1.51106108  -8.78815949  11.55030159   0.27683093
## 758  -5.74584808  -1.51106108  -8.78815949  11.55030159   0.27683093
## 759  -5.74584808  -1.51106108  -8.78815949  11.55030159   0.27683093
## 760  -5.74584808  -1.51106108  -8.78815949  11.55030159   0.27683093
## 761  -1.89025793  -8.84455113   6.00504463  -1.04972192 -11.71349852
## 762  -1.89025793  -8.84455113   6.00504463  -1.04972192 -11.71349852
## 763  -1.89025793  -8.84455113   6.00504463  -1.04972192 -11.71349852
## 764  -1.89025793  -8.84455113   6.00504463  -1.04972192 -11.71349852
## 765  -1.89025793  -8.84455113   6.00504463  -1.04972192 -11.71349852
## 766  -1.89025793  -8.84455113   6.00504463  -1.04972192 -11.71349852
## 767  -1.89025793  -8.84455113   6.00504463  -1.04972192 -11.71349852
## 768  -1.89025793  -8.84455113   6.00504463  -1.04972192 -11.71349852
## 769  47.60691140  -5.95156034  34.30754342   1.35768998  54.38676206
## 770  47.60691140  -5.95156034  34.30754342   1.35768998  54.38676206
## 771  47.60691140  -5.95156034  34.30754342   1.35768998  54.38676206
## 772  47.60691140  -5.95156034  34.30754342   1.35768998  54.38676206
## 773  47.60691140  -5.95156034  34.30754342   1.35768998  54.38676206
## 774  47.60691140  -5.95156034  34.30754342   1.35768998  54.38676206
## 775  47.60691140  -5.95156034  34.30754342   1.35768998  54.38676206
## 776  47.60691140  -5.95156034  34.30754342   1.35768998  54.38676206
## 777  -7.65639553  -0.51082806  -0.26962449   0.24419209  -1.42650586
## 778  -7.65639553  -0.51082806  -0.26962449   0.24419209  -1.42650586
## 779  -7.65639553  -0.51082806  -0.26962449   0.24419209  -1.42650586
## 780  -7.65639553  -0.51082806  -0.26962449   0.24419209  -1.42650586
## 781  -7.65639553  -0.51082806  -0.26962449   0.24419209  -1.42650586
## 782  -7.65639553  -0.51082806  -0.26962449   0.24419209  -1.42650586
## 783  -7.65639553  -0.51082806  -0.26962449   0.24419209  -1.42650586
## 784  -7.65639553  -0.51082806  -0.26962449   0.24419209  -1.42650586
## 785   1.72134911   2.09175399   2.27869509   0.91103901   0.47303320
## 786   1.72134911   2.09175399   2.27869509   0.91103901   0.47303320
## 787   1.72134911   2.09175399   2.27869509   0.91103901   0.47303320
## 788   1.72134911   2.09175399   2.27869509   0.91103901   0.47303320
## 789   1.72134911   2.09175399   2.27869509   0.91103901   0.47303320
## 790   1.72134911   2.09175399   2.27869509   0.91103901   0.47303320
## 791   1.72134911   2.09175399   2.27869509   0.91103901   0.47303320
## 792   1.72134911   2.09175399   2.27869509   0.91103901   0.47303320
## 793  -2.84091529  -3.79335377   3.12713427  -0.50192519   0.96589556
## 794  -2.84091529  -3.79335377   3.12713427  -0.50192519   0.96589556
## 795  -2.84091529  -3.79335377   3.12713427  -0.50192519   0.96589556
## 796  -2.84091529  -3.79335377   3.12713427  -0.50192519   0.96589556
## 797  -2.84091529  -3.79335377   3.12713427  -0.50192519   0.96589556
## 798  -2.84091529  -3.79335377   3.12713427  -0.50192519   0.96589556
## 799  -2.84091529  -3.79335377   3.12713427  -0.50192519   0.96589556
##       PC97_score   PC98_score  PC99_score   PC100_score  PC101_score
## 1   -12.23570182  -2.84543283  -6.8789435   1.909229621   3.60645223
## 2   -12.23570182  -2.84543283  -6.8789435   1.909229621   3.60645223
## 3   -12.23570182  -2.84543283  -6.8789435   1.909229621   3.60645223
## 4   -12.23570182  -2.84543283  -6.8789435   1.909229621   3.60645223
## 5   -12.23570182  -2.84543283  -6.8789435   1.909229621   3.60645223
## 6   -12.23570182  -2.84543283  -6.8789435   1.909229621   3.60645223
## 7   -12.23570182  -2.84543283  -6.8789435   1.909229621   3.60645223
## 8   -12.23570182  -2.84543283  -6.8789435   1.909229621   3.60645223
## 9    -9.17809937   0.83373479 -11.0712367  -8.168698639  10.58087798
## 10   -9.17809937   0.83373479 -11.0712367  -8.168698639  10.58087798
## 11   -9.17809937   0.83373479 -11.0712367  -8.168698639  10.58087798
## 12   -9.17809937   0.83373479 -11.0712367  -8.168698639  10.58087798
## 13   -9.17809937   0.83373479 -11.0712367  -8.168698639  10.58087798
## 14   -9.17809937   0.83373479 -11.0712367  -8.168698639  10.58087798
## 15   -9.17809937   0.83373479 -11.0712367  -8.168698639  10.58087798
## 16   -9.17809937   0.83373479 -11.0712367  -8.168698639  10.58087798
## 17    5.29907644   4.62861407   1.1605545  -1.352171619   0.35867672
## 18    5.29907644   4.62861407   1.1605545  -1.352171619   0.35867672
## 19    5.29907644   4.62861407   1.1605545  -1.352171619   0.35867672
## 20    5.29907644   4.62861407   1.1605545  -1.352171619   0.35867672
## 21    5.29907644   4.62861407   1.1605545  -1.352171619   0.35867672
## 22    5.29907644   4.62861407   1.1605545  -1.352171619   0.35867672
## 23    5.29907644   4.62861407   1.1605545  -1.352171619   0.35867672
## 24    5.29907644   4.62861407   1.1605545  -1.352171619   0.35867672
## 25   -0.07714451   2.19180882   5.3548773   0.545481662  -0.44757549
## 26   -0.07714451   2.19180882   5.3548773   0.545481662  -0.44757549
## 27   -0.07714451   2.19180882   5.3548773   0.545481662  -0.44757549
## 28   -0.07714451   2.19180882   5.3548773   0.545481662  -0.44757549
## 29   -0.07714451   2.19180882   5.3548773   0.545481662  -0.44757549
## 30   -0.07714451   2.19180882   5.3548773   0.545481662  -0.44757549
## 31   -0.07714451   2.19180882   5.3548773   0.545481662  -0.44757549
## 32   -0.07714451   2.19180882   5.3548773   0.545481662  -0.44757549
## 33   -0.94793061   0.38566594   0.7284824   0.733252635  -3.95165840
## 34   -0.94793061   0.38566594   0.7284824   0.733252635  -3.95165840
## 35   -0.94793061   0.38566594   0.7284824   0.733252635  -3.95165840
## 36   -0.94793061   0.38566594   0.7284824   0.733252635  -3.95165840
## 37   -0.94793061   0.38566594   0.7284824   0.733252635  -3.95165840
## 38   -0.94793061   0.38566594   0.7284824   0.733252635  -3.95165840
## 39   -0.94793061   0.38566594   0.7284824   0.733252635  -3.95165840
## 40   -0.94793061   0.38566594   0.7284824   0.733252635  -3.95165840
## 41  -57.19761715  -5.68178211  11.8630121  14.626446197  -1.51028947
## 42  -57.19761715  -5.68178211  11.8630121  14.626446197  -1.51028947
## 43  -57.19761715  -5.68178211  11.8630121  14.626446197  -1.51028947
## 44  -57.19761715  -5.68178211  11.8630121  14.626446197  -1.51028947
## 45  -57.19761715  -5.68178211  11.8630121  14.626446197  -1.51028947
## 46  -57.19761715  -5.68178211  11.8630121  14.626446197  -1.51028947
## 47  -57.19761715  -5.68178211  11.8630121  14.626446197  -1.51028947
## 48  -57.19761715  -5.68178211  11.8630121  14.626446197  -1.51028947
## 49    0.42768505  -1.96270114  -0.7790349  -0.165232819   0.76200825
## 50    0.42768505  -1.96270114  -0.7790349  -0.165232819   0.76200825
## 51    0.42768505  -1.96270114  -0.7790349  -0.165232819   0.76200825
## 52    0.42768505  -1.96270114  -0.7790349  -0.165232819   0.76200825
## 53    0.42768505  -1.96270114  -0.7790349  -0.165232819   0.76200825
## 54    0.42768505  -1.96270114  -0.7790349  -0.165232819   0.76200825
## 55    0.42768505  -1.96270114  -0.7790349  -0.165232819   0.76200825
## 56    0.42768505  -1.96270114  -0.7790349  -0.165232819   0.76200825
## 57   -0.96505342   0.25137380  -1.3359481   5.593274652   6.55293898
## 58   -0.96505342   0.25137380  -1.3359481   5.593274652   6.55293898
## 59   -0.96505342   0.25137380  -1.3359481   5.593274652   6.55293898
## 60   -0.96505342   0.25137380  -1.3359481   5.593274652   6.55293898
## 61   -0.96505342   0.25137380  -1.3359481   5.593274652   6.55293898
## 62   -0.96505342   0.25137380  -1.3359481   5.593274652   6.55293898
## 63   -0.96505342   0.25137380  -1.3359481   5.593274652   6.55293898
## 64   -0.96505342   0.25137380  -1.3359481   5.593274652   6.55293898
## 65   -7.18864654   0.16562701   2.1696090  -0.191966989  -2.93319392
## 66   -7.18864654   0.16562701   2.1696090  -0.191966989  -2.93319392
## 67   -7.18864654   0.16562701   2.1696090  -0.191966989  -2.93319392
## 68   -7.18864654   0.16562701   2.1696090  -0.191966989  -2.93319392
## 69   -7.18864654   0.16562701   2.1696090  -0.191966989  -2.93319392
## 70   -7.18864654   0.16562701   2.1696090  -0.191966989  -2.93319392
## 71   -7.18864654   0.16562701   2.1696090  -0.191966989  -2.93319392
## 72   -7.18864654   0.16562701   2.1696090  -0.191966989  -2.93319392
## 73    3.14897137   0.69047866  -4.0400414  -0.645974753  -5.78676331
## 74    3.14897137   0.69047866  -4.0400414  -0.645974753  -5.78676331
## 75    3.14897137   0.69047866  -4.0400414  -0.645974753  -5.78676331
## 76    3.14897137   0.69047866  -4.0400414  -0.645974753  -5.78676331
## 77    3.14897137   0.69047866  -4.0400414  -0.645974753  -5.78676331
## 78    3.14897137   0.69047866  -4.0400414  -0.645974753  -5.78676331
## 79    3.14897137   0.69047866  -4.0400414  -0.645974753  -5.78676331
## 80    3.14897137   0.69047866  -4.0400414  -0.645974753  -5.78676331
## 81    7.14250864  -1.42292978   7.2023203  -3.810582893  -3.55643436
## 82    7.14250864  -1.42292978   7.2023203  -3.810582893  -3.55643436
## 83    7.14250864  -1.42292978   7.2023203  -3.810582893  -3.55643436
## 84    7.14250864  -1.42292978   7.2023203  -3.810582893  -3.55643436
## 85    7.14250864  -1.42292978   7.2023203  -3.810582893  -3.55643436
## 86    7.14250864  -1.42292978   7.2023203  -3.810582893  -3.55643436
## 87    7.14250864  -1.42292978   7.2023203  -3.810582893  -3.55643436
## 88    7.14250864  -1.42292978   7.2023203  -3.810582893  -3.55643436
## 89   -0.84289343   0.33625480  -0.0999263   1.007859039  -0.74921682
## 90   -0.84289343   0.33625480  -0.0999263   1.007859039  -0.74921682
## 91   -0.84289343   0.33625480  -0.0999263   1.007859039  -0.74921682
## 92   -0.84289343   0.33625480  -0.0999263   1.007859039  -0.74921682
## 93   -0.84289343   0.33625480  -0.0999263   1.007859039  -0.74921682
## 94   -0.84289343   0.33625480  -0.0999263   1.007859039  -0.74921682
## 95   -0.84289343   0.33625480  -0.0999263   1.007859039  -0.74921682
## 96   -0.84289343   0.33625480  -0.0999263   1.007859039  -0.74921682
## 97    7.20026375   5.67119146  -0.2187082   4.547004306   0.92909062
## 98    7.20026375   5.67119146  -0.2187082   4.547004306   0.92909062
## 99    7.20026375   5.67119146  -0.2187082   4.547004306   0.92909062
## 100   7.20026375   5.67119146  -0.2187082   4.547004306   0.92909062
## 101   7.20026375   5.67119146  -0.2187082   4.547004306   0.92909062
## 102   7.20026375   5.67119146  -0.2187082   4.547004306   0.92909062
## 103   7.20026375   5.67119146  -0.2187082   4.547004306   0.92909062
## 104   7.20026375   5.67119146  -0.2187082   4.547004306   0.92909062
## 105   6.03179039   3.76627611  31.2916868  11.926964204   5.03279083
## 106   6.03179039   3.76627611  31.2916868  11.926964204   5.03279083
## 107   6.03179039   3.76627611  31.2916868  11.926964204   5.03279083
## 108   6.03179039   3.76627611  31.2916868  11.926964204   5.03279083
## 109   6.03179039   3.76627611  31.2916868  11.926964204   5.03279083
## 110   6.03179039   3.76627611  31.2916868  11.926964204   5.03279083
## 111   6.03179039   3.76627611  31.2916868  11.926964204   5.03279083
## 112   6.03179039   3.76627611  31.2916868  11.926964204   5.03279083
## 113   4.40372318   2.02934233   0.6782116   0.756327442   3.68141735
## 114   4.40372318   2.02934233   0.6782116   0.756327442   3.68141735
## 115   4.40372318   2.02934233   0.6782116   0.756327442   3.68141735
## 116   4.40372318   2.02934233   0.6782116   0.756327442   3.68141735
## 117   4.40372318   2.02934233   0.6782116   0.756327442   3.68141735
## 118   4.40372318   2.02934233   0.6782116   0.756327442   3.68141735
## 119   4.40372318   2.02934233   0.6782116   0.756327442   3.68141735
## 120   4.40372318   2.02934233   0.6782116   0.756327442   3.68141735
## 121   1.95172358   1.65486276  -0.0875553   0.155417036   1.21706835
## 122   1.95172358   1.65486276  -0.0875553   0.155417036   1.21706835
## 123   1.95172358   1.65486276  -0.0875553   0.155417036   1.21706835
## 124   1.95172358   1.65486276  -0.0875553   0.155417036   1.21706835
## 125   1.95172358   1.65486276  -0.0875553   0.155417036   1.21706835
## 126   1.95172358   1.65486276  -0.0875553   0.155417036   1.21706835
## 127   1.95172358   1.65486276  -0.0875553   0.155417036   1.21706835
## 128   1.95172358   1.65486276  -0.0875553   0.155417036   1.21706835
## 129  -7.21043513   6.78782368  -0.2332914   0.009469931   1.45007689
## 130  -7.21043513   6.78782368  -0.2332914   0.009469931   1.45007689
## 131  -7.21043513   6.78782368  -0.2332914   0.009469931   1.45007689
## 132  -7.21043513   6.78782368  -0.2332914   0.009469931   1.45007689
## 133  -7.21043513   6.78782368  -0.2332914   0.009469931   1.45007689
## 134  -7.21043513   6.78782368  -0.2332914   0.009469931   1.45007689
## 135  -7.21043513   6.78782368  -0.2332914   0.009469931   1.45007689
## 136  -7.21043513   6.78782368  -0.2332914   0.009469931   1.45007689
## 137  -0.77759521   0.79086181  -0.9596502  -0.356080271  -0.52744932
## 138  -0.77759521   0.79086181  -0.9596502  -0.356080271  -0.52744932
## 139  -0.77759521   0.79086181  -0.9596502  -0.356080271  -0.52744932
## 140  -0.77759521   0.79086181  -0.9596502  -0.356080271  -0.52744932
## 141  -0.77759521   0.79086181  -0.9596502  -0.356080271  -0.52744932
## 142  -0.77759521   0.79086181  -0.9596502  -0.356080271  -0.52744932
## 143  -0.77759521   0.79086181  -0.9596502  -0.356080271  -0.52744932
## 144  -0.77759521   0.79086181  -0.9596502  -0.356080271  -0.52744932
## 145   2.98167018   4.54799197   4.7286705  -0.039262964   3.33278804
## 146   2.98167018   4.54799197   4.7286705  -0.039262964   3.33278804
## 147   2.98167018   4.54799197   4.7286705  -0.039262964   3.33278804
## 148   2.98167018   4.54799197   4.7286705  -0.039262964   3.33278804
## 149   2.98167018   4.54799197   4.7286705  -0.039262964   3.33278804
## 150   2.98167018   4.54799197   4.7286705  -0.039262964   3.33278804
## 151   2.98167018   4.54799197   4.7286705  -0.039262964   3.33278804
## 152   2.98167018   4.54799197   4.7286705  -0.039262964   3.33278804
## 153  -1.23625376  -1.50638691   0.3713901  -2.089081802  -0.03952254
## 154  -1.23625376  -1.50638691   0.3713901  -2.089081802  -0.03952254
## 155  -1.23625376  -1.50638691   0.3713901  -2.089081802  -0.03952254
## 156  -1.23625376  -1.50638691   0.3713901  -2.089081802  -0.03952254
## 157  -1.23625376  -1.50638691   0.3713901  -2.089081802  -0.03952254
## 158  -1.23625376  -1.50638691   0.3713901  -2.089081802  -0.03952254
## 159  -1.23625376  -1.50638691   0.3713901  -2.089081802  -0.03952254
## 160  -1.23625376  -1.50638691   0.3713901  -2.089081802  -0.03952254
## 161  -4.55895431   3.76794440  -0.1170080   1.700106767   0.54227012
## 162  -4.55895431   3.76794440  -0.1170080   1.700106767   0.54227012
## 163  -4.55895431   3.76794440  -0.1170080   1.700106767   0.54227012
## 164  -4.55895431   3.76794440  -0.1170080   1.700106767   0.54227012
## 165  -4.55895431   3.76794440  -0.1170080   1.700106767   0.54227012
## 166  -4.55895431   3.76794440  -0.1170080   1.700106767   0.54227012
## 167  -4.55895431   3.76794440  -0.1170080   1.700106767   0.54227012
## 168  -4.55895431   3.76794440  -0.1170080   1.700106767   0.54227012
## 169  -1.12932788 -11.94554880   1.8169008  -2.994887887  -9.42911604
## 170  -1.12932788 -11.94554880   1.8169008  -2.994887887  -9.42911604
## 171  -1.12932788 -11.94554880   1.8169008  -2.994887887  -9.42911604
## 172  -1.12932788 -11.94554880   1.8169008  -2.994887887  -9.42911604
## 173  -1.12932788 -11.94554880   1.8169008  -2.994887887  -9.42911604
## 174  -1.12932788 -11.94554880   1.8169008  -2.994887887  -9.42911604
## 175  -1.12932788 -11.94554880   1.8169008  -2.994887887  -9.42911604
## 176  -1.12932788 -11.94554880   1.8169008  -2.994887887  -9.42911604
## 177  34.55223790 -30.58586620 -33.4590807  13.898219424  -9.74665652
## 178  34.55223790 -30.58586620 -33.4590807  13.898219424  -9.74665652
## 179  34.55223790 -30.58586620 -33.4590807  13.898219424  -9.74665652
## 180  34.55223790 -30.58586620 -33.4590807  13.898219424  -9.74665652
## 181  34.55223790 -30.58586620 -33.4590807  13.898219424  -9.74665652
## 182  34.55223790 -30.58586620 -33.4590807  13.898219424  -9.74665652
## 183  34.55223790 -30.58586620 -33.4590807  13.898219424  -9.74665652
## 184  34.55223790 -30.58586620 -33.4590807  13.898219424  -9.74665652
## 185   2.42566708   2.22522827   1.7023698   0.836408284  -0.69089925
## 186   2.42566708   2.22522827   1.7023698   0.836408284  -0.69089925
## 187   2.42566708   2.22522827   1.7023698   0.836408284  -0.69089925
## 188   2.42566708   2.22522827   1.7023698   0.836408284  -0.69089925
## 189   2.42566708   2.22522827   1.7023698   0.836408284  -0.69089925
## 190   2.42566708   2.22522827   1.7023698   0.836408284  -0.69089925
## 191   2.42566708   2.22522827   1.7023698   0.836408284  -0.69089925
## 192   2.42566708   2.22522827   1.7023698   0.836408284  -0.69089925
## 193  -0.26300956   3.41370430   0.9641879   0.777953952  -2.68566165
## 194  -0.26300956   3.41370430   0.9641879   0.777953952  -2.68566165
## 195  -0.26300956   3.41370430   0.9641879   0.777953952  -2.68566165
## 196  -0.26300956   3.41370430   0.9641879   0.777953952  -2.68566165
## 197  -0.26300956   3.41370430   0.9641879   0.777953952  -2.68566165
## 198  -0.26300956   3.41370430   0.9641879   0.777953952  -2.68566165
## 199  -0.26300956   3.41370430   0.9641879   0.777953952  -2.68566165
## 200  -0.26300956   3.41370430   0.9641879   0.777953952  -2.68566165
## 201   0.32512147   1.65123904  -0.6748282  -1.666293354   1.90040299
## 202   0.32512147   1.65123904  -0.6748282  -1.666293354   1.90040299
## 203   0.32512147   1.65123904  -0.6748282  -1.666293354   1.90040299
## 204   0.32512147   1.65123904  -0.6748282  -1.666293354   1.90040299
## 205   0.32512147   1.65123904  -0.6748282  -1.666293354   1.90040299
## 206   0.32512147   1.65123904  -0.6748282  -1.666293354   1.90040299
## 207   0.32512147   1.65123904  -0.6748282  -1.666293354   1.90040299
## 208   0.32512147   1.65123904  -0.6748282  -1.666293354   1.90040299
## 209  -2.96480341  -4.08843894  -0.1415165  -2.080735535   0.16721675
## 210  -2.96480341  -4.08843894  -0.1415165  -2.080735535   0.16721675
## 211  -2.96480341  -4.08843894  -0.1415165  -2.080735535   0.16721675
## 212  -2.96480341  -4.08843894  -0.1415165  -2.080735535   0.16721675
## 213  -2.96480341  -4.08843894  -0.1415165  -2.080735535   0.16721675
## 214  -2.96480341  -4.08843894  -0.1415165  -2.080735535   0.16721675
## 215  -2.96480341  -4.08843894  -0.1415165  -2.080735535   0.16721675
## 216  -2.96480341  -4.08843894  -0.1415165  -2.080735535   0.16721675
## 217  -0.98076468   0.29968513   1.1120734  -1.366401136   0.81249326
## 218  -0.98076468   0.29968513   1.1120734  -1.366401136   0.81249326
## 219  -0.98076468   0.29968513   1.1120734  -1.366401136   0.81249326
## 220  -0.98076468   0.29968513   1.1120734  -1.366401136   0.81249326
## 221  -0.98076468   0.29968513   1.1120734  -1.366401136   0.81249326
## 222  -0.98076468   0.29968513   1.1120734  -1.366401136   0.81249326
## 223  -0.98076468   0.29968513   1.1120734  -1.366401136   0.81249326
## 224  -0.98076468   0.29968513   1.1120734  -1.366401136   0.81249326
## 225  -2.12357930  -3.90665381  -9.3081673 -12.573475221  -5.61970651
## 226  -2.12357930  -3.90665381  -9.3081673 -12.573475221  -5.61970651
## 227  -2.12357930  -3.90665381  -9.3081673 -12.573475221  -5.61970651
## 228  -2.12357930  -3.90665381  -9.3081673 -12.573475221  -5.61970651
## 229  -2.12357930  -3.90665381  -9.3081673 -12.573475221  -5.61970651
## 230  -2.12357930  -3.90665381  -9.3081673 -12.573475221  -5.61970651
## 231  -2.12357930  -3.90665381  -9.3081673 -12.573475221  -5.61970651
## 232  -2.12357930  -3.90665381  -9.3081673 -12.573475221  -5.61970651
## 233  -0.61626123  -1.39724959  -3.5267267  -0.735798957  -3.26356401
## 234  -0.61626123  -1.39724959  -3.5267267  -0.735798957  -3.26356401
## 235  -0.61626123  -1.39724959  -3.5267267  -0.735798957  -3.26356401
## 236  -0.61626123  -1.39724959  -3.5267267  -0.735798957  -3.26356401
## 237  -0.61626123  -1.39724959  -3.5267267  -0.735798957  -3.26356401
## 238  -0.61626123  -1.39724959  -3.5267267  -0.735798957  -3.26356401
## 239  -0.61626123  -1.39724959  -3.5267267  -0.735798957  -3.26356401
## 240  -0.61626123  -1.39724959  -3.5267267  -0.735798957  -3.26356401
## 241  -1.75911612   3.24657036   4.7261201   7.300993035   3.67679905
## 242  -1.75911612   3.24657036   4.7261201   7.300993035   3.67679905
## 243  -1.75911612   3.24657036   4.7261201   7.300993035   3.67679905
## 244  -1.75911612   3.24657036   4.7261201   7.300993035   3.67679905
## 245  -1.75911612   3.24657036   4.7261201   7.300993035   3.67679905
## 246  -1.75911612   3.24657036   4.7261201   7.300993035   3.67679905
## 247  -1.75911612   3.24657036   4.7261201   7.300993035   3.67679905
## 248  -1.75911612   3.24657036   4.7261201   7.300993035   3.67679905
## 249  -5.42998295   2.28240967   9.6393421   1.597557497  -3.94458285
## 250  -5.42998295   2.28240967   9.6393421   1.597557497  -3.94458285
## 251  -5.42998295   2.28240967   9.6393421   1.597557497  -3.94458285
## 252  -5.42998295   2.28240967   9.6393421   1.597557497  -3.94458285
## 253  -5.42998295   2.28240967   9.6393421   1.597557497  -3.94458285
## 254  -5.42998295   2.28240967   9.6393421   1.597557497  -3.94458285
## 255  -5.42998295   2.28240967   9.6393421   1.597557497  -3.94458285
## 256  -5.42998295   2.28240967   9.6393421   1.597557497  -3.94458285
## 257  40.57922376 -59.10023498 -10.3749444 -33.280625229  12.00024148
## 258  40.57922376 -59.10023498 -10.3749444 -33.280625229  12.00024148
## 259  40.57922376 -59.10023498 -10.3749444 -33.280625229  12.00024148
## 260  40.57922376 -59.10023498 -10.3749444 -33.280625229  12.00024148
## 261  40.57922376 -59.10023498 -10.3749444 -33.280625229  12.00024148
## 262  40.57922376 -59.10023498 -10.3749444 -33.280625229  12.00024148
## 263  40.57922376 -59.10023498 -10.3749444 -33.280625229  12.00024148
## 264  40.57922376 -59.10023498 -10.3749444 -33.280625229  12.00024148
## 265   1.68881062  -0.72907531  -0.7293852   3.035425807  -4.10411881
## 266   1.68881062  -0.72907531  -0.7293852   3.035425807  -4.10411881
## 267   1.68881062  -0.72907531  -0.7293852   3.035425807  -4.10411881
## 268   1.68881062  -0.72907531  -0.7293852   3.035425807  -4.10411881
## 269   1.68881062  -0.72907531  -0.7293852   3.035425807  -4.10411881
## 270   1.68881062  -0.72907531  -0.7293852   3.035425807  -4.10411881
## 271   1.68881062  -0.72907531  -0.7293852   3.035425807  -4.10411881
## 272   1.68881062  -0.72907531  -0.7293852   3.035425807  -4.10411881
## 273   2.24514891   2.16847817   3.1873941  -2.078737339  -0.22107448
## 274   2.24514891   2.16847817   3.1873941  -2.078737339  -0.22107448
## 275   2.24514891   2.16847817   3.1873941  -2.078737339  -0.22107448
## 276   2.24514891   2.16847817   3.1873941  -2.078737339  -0.22107448
## 277   2.24514891   2.16847817   3.1873941  -2.078737339  -0.22107448
## 278   2.24514891   2.16847817   3.1873941  -2.078737339  -0.22107448
## 279   2.24514891   2.16847817   3.1873941  -2.078737339  -0.22107448
## 280   2.24514891   2.16847817   3.1873941  -2.078737339  -0.22107448
## 281   0.19659767   0.87692462  -4.5129766  -0.660134343  -3.83246938
## 282   0.19659767   0.87692462  -4.5129766  -0.660134343  -3.83246938
## 283   0.19659767   0.87692462  -4.5129766  -0.660134343  -3.83246938
## 284   0.19659767   0.87692462  -4.5129766  -0.660134343  -3.83246938
## 285   0.19659767   0.87692462  -4.5129766  -0.660134343  -3.83246938
## 286   0.19659767   0.87692462  -4.5129766  -0.660134343  -3.83246938
## 287   0.19659767   0.87692462  -4.5129766  -0.660134343  -3.83246938
## 288   0.19659767   0.87692462  -4.5129766  -0.660134343  -3.83246938
## 289   5.24007180   4.85860560  10.9744182  -0.200419119   5.24389421
## 290   5.24007180   4.85860560  10.9744182  -0.200419119   5.24389421
## 291   5.24007180   4.85860560  10.9744182  -0.200419119   5.24389421
## 292   5.24007180   4.85860560  10.9744182  -0.200419119   5.24389421
## 293   5.24007180   4.85860560  10.9744182  -0.200419119   5.24389421
## 294   5.24007180   4.85860560  10.9744182  -0.200419119   5.24389421
## 295   5.24007180   4.85860560  10.9744182  -0.200419119   5.24389421
## 296   5.24007180   4.85860560  10.9744182  -0.200419119   5.24389421
## 297 -32.65527587  -3.46838772   2.0428686 -36.837913857  -2.83587860
## 298 -32.65527587  -3.46838772   2.0428686 -36.837913857  -2.83587860
## 299 -32.65527587  -3.46838772   2.0428686 -36.837913857  -2.83587860
## 300 -32.65527587  -3.46838772   2.0428686 -36.837913857  -2.83587860
## 301 -32.65527587  -3.46838772   2.0428686 -36.837913857  -2.83587860
## 302 -32.65527587  -3.46838772   2.0428686 -36.837913857  -2.83587860
## 303 -32.65527587  -3.46838772   2.0428686 -36.837913857  -2.83587860
## 304 -32.65527587  -3.46838772   2.0428686 -36.837913857  -2.83587860
## 305  -3.30776868 -10.40428526 -38.6918218 -14.353615744   8.80137947
## 306  -3.30776868 -10.40428526 -38.6918218 -14.353615744   8.80137947
## 307  -3.30776868 -10.40428526 -38.6918218 -14.353615744   8.80137947
## 308  -3.30776868 -10.40428526 -38.6918218 -14.353615744   8.80137947
## 309  -3.30776868 -10.40428526 -38.6918218 -14.353615744   8.80137947
## 310  -3.30776868 -10.40428526 -38.6918218 -14.353615744   8.80137947
## 311  -3.30776868 -10.40428526 -38.6918218 -14.353615744   8.80137947
## 312  -3.30776868 -10.40428526 -38.6918218 -14.353615744   8.80137947
## 313   0.75141639   3.40903325  -1.8614990   1.685534238   5.34188566
## 314   0.75141639   3.40903325  -1.8614990   1.685534238   5.34188566
## 315   0.75141639   3.40903325  -1.8614990   1.685534238   5.34188566
## 316   0.75141639   3.40903325  -1.8614990   1.685534238   5.34188566
## 317   0.75141639   3.40903325  -1.8614990   1.685534238   5.34188566
## 318   0.75141639   3.40903325  -1.8614990   1.685534238   5.34188566
## 319   0.75141639   3.40903325  -1.8614990   1.685534238   5.34188566
## 320   0.75141639   3.40903325  -1.8614990   1.685534238   5.34188566
## 321   1.24783441  -2.16837469  -0.4506087   4.474845394  -1.32251800
## 322   1.24783441  -2.16837469  -0.4506087   4.474845394  -1.32251800
## 323   1.24783441  -2.16837469  -0.4506087   4.474845394  -1.32251800
## 324   1.24783441  -2.16837469  -0.4506087   4.474845394  -1.32251800
## 325   1.24783441  -2.16837469  -0.4506087   4.474845394  -1.32251800
## 326   1.24783441  -2.16837469  -0.4506087   4.474845394  -1.32251800
## 327   1.24783441  -2.16837469  -0.4506087   4.474845394  -1.32251800
## 328   1.24783441  -2.16837469  -0.4506087   4.474845394  -1.32251800
## 329  -1.74262816   9.83168962  17.2455647  -1.404729252   4.01930642
## 330  -1.74262816   9.83168962  17.2455647  -1.404729252   4.01930642
## 331  -1.74262816   9.83168962  17.2455647  -1.404729252   4.01930642
## 332  -1.74262816   9.83168962  17.2455647  -1.404729252   4.01930642
## 333  -1.74262816   9.83168962  17.2455647  -1.404729252   4.01930642
## 334  -1.74262816   9.83168962  17.2455647  -1.404729252   4.01930642
## 335  -1.74262816   9.83168962  17.2455647  -1.404729252   4.01930642
## 336  -1.74262816   9.83168962  17.2455647  -1.404729252   4.01930642
## 337  -0.80293525   1.92545740  -3.4919050   0.138669787  -1.45364134
## 338  -0.80293525   1.92545740  -3.4919050   0.138669787  -1.45364134
## 339  -0.80293525   1.92545740  -3.4919050   0.138669787  -1.45364134
## 340  -0.80293525   1.92545740  -3.4919050   0.138669787  -1.45364134
## 341  -0.80293525   1.92545740  -3.4919050   0.138669787  -1.45364134
## 342  -0.80293525   1.92545740  -3.4919050   0.138669787  -1.45364134
## 343  -0.80293525   1.92545740  -3.4919050   0.138669787  -1.45364134
## 344  -0.80293525   1.92545740  -3.4919050   0.138669787  -1.45364134
## 345   0.11985270   1.85895004  -1.9077127  -0.098711676  -1.65385986
## 346   0.11985270   1.85895004  -1.9077127  -0.098711676  -1.65385986
## 347   0.11985270   1.85895004  -1.9077127  -0.098711676  -1.65385986
## 348   0.11985270   1.85895004  -1.9077127  -0.098711676  -1.65385986
## 349   0.11985270   1.85895004  -1.9077127  -0.098711676  -1.65385986
## 350   0.11985270   1.85895004  -1.9077127  -0.098711676  -1.65385986
## 351   0.11985270   1.85895004  -1.9077127  -0.098711676  -1.65385986
## 352   0.11985270   1.85895004  -1.9077127  -0.098711676  -1.65385986
## 353   2.24944918   1.11635103   2.8761210   2.199435668   0.69539276
## 354   2.24944918   1.11635103   2.8761210   2.199435668   0.69539276
## 355   2.24944918   1.11635103   2.8761210   2.199435668   0.69539276
## 356   2.24944918   1.11635103   2.8761210   2.199435668   0.69539276
## 357   2.24944918   1.11635103   2.8761210   2.199435668   0.69539276
## 358   2.24944918   1.11635103   2.8761210   2.199435668   0.69539276
## 359   2.24944918   1.11635103   2.8761210   2.199435668   0.69539276
## 360   2.24944918   1.11635103   2.8761210   2.199435668   0.69539276
## 361   2.96585124  -0.99157933  -0.4622040   2.026959888  -1.51095448
## 362   2.96585124  -0.99157933  -0.4622040   2.026959888  -1.51095448
## 363   2.96585124  -0.99157933  -0.4622040   2.026959888  -1.51095448
## 364   2.96585124  -0.99157933  -0.4622040   2.026959888  -1.51095448
## 365   2.96585124  -0.99157933  -0.4622040   2.026959888  -1.51095448
## 366   2.96585124  -0.99157933  -0.4622040   2.026959888  -1.51095448
## 367   2.96585124  -0.99157933  -0.4622040   2.026959888  -1.51095448
## 368   2.96585124  -0.99157933  -0.4622040   2.026959888  -1.51095448
## 369  -6.42083216   4.04919907   3.9878200 -10.026254786   1.27493889
## 370  -6.42083216   4.04919907   3.9878200 -10.026254786   1.27493889
## 371  -6.42083216   4.04919907   3.9878200 -10.026254786   1.27493889
## 372  -6.42083216   4.04919907   3.9878200 -10.026254786   1.27493889
## 373  -6.42083216   4.04919907   3.9878200 -10.026254786   1.27493889
## 374  -6.42083216   4.04919907   3.9878200 -10.026254786   1.27493889
## 375  -6.42083216   4.04919907   3.9878200 -10.026254786   1.27493889
## 376  -6.42083216   4.04919907   3.9878200 -10.026254786   1.27493889
## 377  21.56252207   1.38518460   3.6224030  -3.862391970   9.88043580
## 378  21.56252207   1.38518460   3.6224030  -3.862391970   9.88043580
## 379  21.56252207   1.38518460   3.6224030  -3.862391970   9.88043580
## 380  21.56252207   1.38518460   3.6224030  -3.862391970   9.88043580
## 381  21.56252207   1.38518460   3.6224030  -3.862391970   9.88043580
## 382  21.56252207   1.38518460   3.6224030  -3.862391970   9.88043580
## 383  21.56252207   1.38518460   3.6224030  -3.862391970   9.88043580
## 384  21.56252207   1.38518460   3.6224030  -3.862391970   9.88043580
## 385  44.67356052  21.96218763   7.9387892  57.904924315 -50.79094482
## 386  44.67356052  21.96218763   7.9387892  57.904924315 -50.79094482
## 387  44.67356052  21.96218763   7.9387892  57.904924315 -50.79094482
## 388  44.67356052  21.96218763   7.9387892  57.904924315 -50.79094482
## 389  44.67356052  21.96218763   7.9387892  57.904924315 -50.79094482
## 390  44.67356052  21.96218763   7.9387892  57.904924315 -50.79094482
## 391  44.67356052  21.96218763   7.9387892  57.904924315 -50.79094482
## 392  44.67356052  21.96218763   7.9387892  57.904924315 -50.79094482
## 393   8.58296935   2.65718644   5.0199392  20.143463307 -17.27078869
## 394   8.58296935   2.65718644   5.0199392  20.143463307 -17.27078869
## 395   8.58296935   2.65718644   5.0199392  20.143463307 -17.27078869
## 396   8.58296935   2.65718644   5.0199392  20.143463307 -17.27078869
## 397   8.58296935   2.65718644   5.0199392  20.143463307 -17.27078869
## 398   8.58296935   2.65718644   5.0199392  20.143463307 -17.27078869
## 399   8.58296935   2.65718644   5.0199392  20.143463307 -17.27078869
## 400   8.58296935   2.65718644   5.0199392  20.143463307 -17.27078869
## 401  -1.66652840  -4.59884648  -3.2325861  -2.425089630  -0.75549500
## 402  -1.66652840  -4.59884648  -3.2325861  -2.425089630  -0.75549500
## 403  -1.66652840  -4.59884648  -3.2325861  -2.425089630  -0.75549500
## 404  -1.66652840  -4.59884648  -3.2325861  -2.425089630  -0.75549500
## 405  -1.66652840  -4.59884648  -3.2325861  -2.425089630  -0.75549500
## 406  -1.66652840  -4.59884648  -3.2325861  -2.425089630  -0.75549500
## 407  -1.66652840  -4.59884648  -3.2325861  -2.425089630  -0.75549500
## 408  -1.66652840  -4.59884648  -3.2325861  -2.425089630  -0.75549500
## 409  -2.84722586  10.92890416   1.9146097  -3.274012041  -0.77319730
## 410  -2.84722586  10.92890416   1.9146097  -3.274012041  -0.77319730
## 411  -2.84722586  10.92890416   1.9146097  -3.274012041  -0.77319730
## 412  -2.84722586  10.92890416   1.9146097  -3.274012041  -0.77319730
## 413  -2.84722586  10.92890416   1.9146097  -3.274012041  -0.77319730
## 414  -2.84722586  10.92890416   1.9146097  -3.274012041  -0.77319730
## 415  -2.84722586  10.92890416   1.9146097  -3.274012041  -0.77319730
## 416  -2.84722586  10.92890416   1.9146097  -3.274012041  -0.77319730
## 417   3.01563526 -12.54738573  23.2000044  -3.050946696  25.54883827
## 418   3.01563526 -12.54738573  23.2000044  -3.050946696  25.54883827
## 419   3.01563526 -12.54738573  23.2000044  -3.050946696  25.54883827
## 420   3.01563526 -12.54738573  23.2000044  -3.050946696  25.54883827
## 421   3.01563526 -12.54738573  23.2000044  -3.050946696  25.54883827
## 422   3.01563526 -12.54738573  23.2000044  -3.050946696  25.54883827
## 423   3.01563526 -12.54738573  23.2000044  -3.050946696  25.54883827
## 424   3.01563526 -12.54738573  23.2000044  -3.050946696  25.54883827
## 425  -4.77564212   5.52575046  -2.0215342   2.162005279   1.77713484
## 426  -4.77564212   5.52575046  -2.0215342   2.162005279   1.77713484
## 427  -4.77564212   5.52575046  -2.0215342   2.162005279   1.77713484
## 428  -4.77564212   5.52575046  -2.0215342   2.162005279   1.77713484
## 429  -4.77564212   5.52575046  -2.0215342   2.162005279   1.77713484
## 430  -4.77564212   5.52575046  -2.0215342   2.162005279   1.77713484
## 431  -4.77564212   5.52575046  -2.0215342   2.162005279   1.77713484
## 432  -4.77564212   5.52575046  -2.0215342   2.162005279   1.77713484
## 433   5.46699711  -4.44123841   1.7967057  -3.160769206   3.98157643
## 434   5.46699711  -4.44123841   1.7967057  -3.160769206   3.98157643
## 435   5.46699711  -4.44123841   1.7967057  -3.160769206   3.98157643
## 436   5.46699711  -4.44123841   1.7967057  -3.160769206   3.98157643
## 437   5.46699711  -4.44123841   1.7967057  -3.160769206   3.98157643
## 438   5.46699711  -4.44123841   1.7967057  -3.160769206   3.98157643
## 439   5.46699711  -4.44123841   1.7967057  -3.160769206   3.98157643
## 440   5.46699711  -4.44123841   1.7967057  -3.160769206   3.98157643
## 441  -4.07824279   0.22484018  -0.2616882   1.269752749  -0.11013758
## 442  -4.07824279   0.22484018  -0.2616882   1.269752749  -0.11013758
## 443  -4.07824279   0.22484018  -0.2616882   1.269752749  -0.11013758
## 444  -4.07824279   0.22484018  -0.2616882   1.269752749  -0.11013758
## 445  -4.07824279   0.22484018  -0.2616882   1.269752749  -0.11013758
## 446  -4.07824279   0.22484018  -0.2616882   1.269752749  -0.11013758
## 447  -4.07824279   0.22484018  -0.2616882   1.269752749  -0.11013758
## 448  -4.07824279   0.22484018  -0.2616882   1.269752749  -0.11013758
## 449  13.59170561 -11.20616560   7.0898103  -1.277285187  -5.45079957
## 450  13.59170561 -11.20616560   7.0898103  -1.277285187  -5.45079957
## 451  13.59170561 -11.20616560   7.0898103  -1.277285187  -5.45079957
## 452  13.59170561 -11.20616560   7.0898103  -1.277285187  -5.45079957
## 453  13.59170561 -11.20616560   7.0898103  -1.277285187  -5.45079957
## 454  13.59170561 -11.20616560   7.0898103  -1.277285187  -5.45079957
## 455  13.59170561 -11.20616560   7.0898103  -1.277285187  -5.45079957
## 456  13.59170561 -11.20616560   7.0898103  -1.277285187  -5.45079957
## 457   0.84023076   6.59094795   0.2996968  10.595037163   8.23670988
## 458   0.84023076   6.59094795   0.2996968  10.595037163   8.23670988
## 459   0.84023076   6.59094795   0.2996968  10.595037163   8.23670988
## 460   0.84023076   6.59094795   0.2996968  10.595037163   8.23670988
## 461   0.84023076   6.59094795   0.2996968  10.595037163   8.23670988
## 462   0.84023076   6.59094795   0.2996968  10.595037163   8.23670988
## 463   0.84023076   6.59094795   0.2996968  10.595037163   8.23670988
## 464   0.84023076   6.59094795   0.2996968  10.595037163   8.23670988
## 465   0.96345687  -4.04803374   0.7323854   1.026398999   2.21855205
## 466   0.96345687  -4.04803374   0.7323854   1.026398999   2.21855205
## 467   0.96345687  -4.04803374   0.7323854   1.026398999   2.21855205
## 468   0.96345687  -4.04803374   0.7323854   1.026398999   2.21855205
## 469   0.96345687  -4.04803374   0.7323854   1.026398999   2.21855205
## 470   0.96345687  -4.04803374   0.7323854   1.026398999   2.21855205
## 471   0.96345687  -4.04803374   0.7323854   1.026398999   2.21855205
## 472   0.96345687  -4.04803374   0.7323854   1.026398999   2.21855205
## 473   0.71698784   0.04699928  -3.6735655  -0.352409743  -1.29281705
## 474   0.71698784   0.04699928  -3.6735655  -0.352409743  -1.29281705
## 475   0.71698784   0.04699928  -3.6735655  -0.352409743  -1.29281705
## 476   0.71698784   0.04699928  -3.6735655  -0.352409743  -1.29281705
## 477   0.71698784   0.04699928  -3.6735655  -0.352409743  -1.29281705
## 478   0.71698784   0.04699928  -3.6735655  -0.352409743  -1.29281705
## 479   0.71698784   0.04699928  -3.6735655  -0.352409743  -1.29281705
## 480   0.71698784   0.04699928  -3.6735655  -0.352409743  -1.29281705
## 481  -3.79486150  -1.89777855   0.1702795  -2.124963235  -0.40583891
## 482  -3.79486150  -1.89777855   0.1702795  -2.124963235  -0.40583891
## 483  -3.79486150  -1.89777855   0.1702795  -2.124963235  -0.40583891
## 484  -3.79486150  -1.89777855   0.1702795  -2.124963235  -0.40583891
## 485  -3.79486150  -1.89777855   0.1702795  -2.124963235  -0.40583891
## 486  -3.79486150  -1.89777855   0.1702795  -2.124963235  -0.40583891
## 487  -3.79486150  -1.89777855   0.1702795  -2.124963235  -0.40583891
## 488  -3.79486150  -1.89777855   0.1702795  -2.124963235  -0.40583891
## 489   0.56087820  -3.86891830   0.6611790   0.869400550  -1.59621909
## 490   0.56087820  -3.86891830   0.6611790   0.869400550  -1.59621909
## 491   0.56087820  -3.86891830   0.6611790   0.869400550  -1.59621909
## 492   0.56087820  -3.86891830   0.6611790   0.869400550  -1.59621909
## 493   0.56087820  -3.86891830   0.6611790   0.869400550  -1.59621909
## 494   0.56087820  -3.86891830   0.6611790   0.869400550  -1.59621909
## 495   0.56087820  -3.86891830   0.6611790   0.869400550  -1.59621909
## 496   0.56087820  -3.86891830   0.6611790   0.869400550  -1.59621909
## 497  -9.14774113  32.98784781  -6.5551210  -6.323165981  -3.97540662
## 498  -9.14774113  32.98784781  -6.5551210  -6.323165981  -3.97540662
## 499  -9.14774113  32.98784781  -6.5551210  -6.323165981  -3.97540662
## 500  -9.14774113  32.98784781  -6.5551210  -6.323165981  -3.97540662
## 501  -9.14774113  32.98784781  -6.5551210  -6.323165981  -3.97540662
## 502  -9.14774113  32.98784781  -6.5551210  -6.323165981  -3.97540662
## 503  -9.14774113  32.98784781  -6.5551210  -6.323165981  -3.97540662
## 504  -9.14774113  32.98784781  -6.5551210  -6.323165981  -3.97540662
## 505   0.99443691   1.56230485  -0.5052610  -0.909313106  -0.62453740
## 506   0.99443691   1.56230485  -0.5052610  -0.909313106  -0.62453740
## 507   0.99443691   1.56230485  -0.5052610  -0.909313106  -0.62453740
## 508   0.99443691   1.56230485  -0.5052610  -0.909313106  -0.62453740
## 509   0.99443691   1.56230485  -0.5052610  -0.909313106  -0.62453740
## 510   0.99443691   1.56230485  -0.5052610  -0.909313106  -0.62453740
## 511   0.99443691   1.56230485  -0.5052610  -0.909313106  -0.62453740
## 512   0.99443691   1.56230485  -0.5052610  -0.909313106  -0.62453740
## 513   1.38402869  -1.35153799  -1.1762591  -2.238913866   5.15059560
## 514   1.38402869  -1.35153799  -1.1762591  -2.238913866   5.15059560
## 515   1.38402869  -1.35153799  -1.1762591  -2.238913866   5.15059560
## 516   1.38402869  -1.35153799  -1.1762591  -2.238913866   5.15059560
## 517   1.38402869  -1.35153799  -1.1762591  -2.238913866   5.15059560
## 518   1.38402869  -1.35153799  -1.1762591  -2.238913866   5.15059560
## 519   1.38402869  -1.35153799  -1.1762591  -2.238913866   5.15059560
## 520   1.38402869  -1.35153799  -1.1762591  -2.238913866   5.15059560
## 521   1.08172690  -0.04237715  10.4489409   1.431566865   3.78507571
## 522   1.08172690  -0.04237715  10.4489409   1.431566865   3.78507571
## 523   1.08172690  -0.04237715  10.4489409   1.431566865   3.78507571
## 524   1.08172690  -0.04237715  10.4489409   1.431566865   3.78507571
## 525   1.08172690  -0.04237715  10.4489409   1.431566865   3.78507571
## 526   1.08172690  -0.04237715  10.4489409   1.431566865   3.78507571
## 527   1.08172690  -0.04237715  10.4489409   1.431566865   3.78507571
## 528   1.08172690  -0.04237715  10.4489409   1.431566865   3.78507571
## 529  -2.94744650  -3.17885369   2.4194357   1.318744943  -0.12327856
## 530  -2.94744650  -3.17885369   2.4194357   1.318744943  -0.12327856
## 531  -2.94744650  -3.17885369   2.4194357   1.318744943  -0.12327856
## 532  -2.94744650  -3.17885369   2.4194357   1.318744943  -0.12327856
## 533  -2.94744650  -3.17885369   2.4194357   1.318744943  -0.12327856
## 534  -2.94744650  -3.17885369   2.4194357   1.318744943  -0.12327856
## 535  -2.94744650  -3.17885369   2.4194357   1.318744943  -0.12327856
## 536  -2.94744650  -3.17885369   2.4194357   1.318744943  -0.12327856
## 537  -3.20865681   1.91460071   0.9220589  -5.676855983   1.97646350
## 538  -3.20865681   1.91460071   0.9220589  -5.676855983   1.97646350
## 539  -3.20865681   1.91460071   0.9220589  -5.676855983   1.97646350
## 540  -3.20865681   1.91460071   0.9220589  -5.676855983   1.97646350
## 541  -3.20865681   1.91460071   0.9220589  -5.676855983   1.97646350
## 542  -3.20865681   1.91460071   0.9220589  -5.676855983   1.97646350
## 543  -3.20865681   1.91460071   0.9220589  -5.676855983   1.97646350
## 544  -3.20865681   1.91460071   0.9220589  -5.676855983   1.97646350
## 545   5.62580089 -11.89289871  -9.4676595  10.344103112   5.20228397
## 546   5.62580089 -11.89289871  -9.4676595  10.344103112   5.20228397
## 547   5.62580089 -11.89289871  -9.4676595  10.344103112   5.20228397
## 548   5.62580089 -11.89289871  -9.4676595  10.344103112   5.20228397
## 549   5.62580089 -11.89289871  -9.4676595  10.344103112   5.20228397
## 550   5.62580089 -11.89289871  -9.4676595  10.344103112   5.20228397
## 551   5.62580089 -11.89289871  -9.4676595  10.344103112   5.20228397
## 552   5.62580089 -11.89289871  -9.4676595  10.344103112   5.20228397
## 553  -6.63641428   1.19187946   1.7864739   1.130974760  -2.33618969
## 554  -6.63641428   1.19187946   1.7864739   1.130974760  -2.33618969
## 555  -6.63641428   1.19187946   1.7864739   1.130974760  -2.33618969
## 556  -6.63641428   1.19187946   1.7864739   1.130974760  -2.33618969
## 557  -6.63641428   1.19187946   1.7864739   1.130974760  -2.33618969
## 558  -6.63641428   1.19187946   1.7864739   1.130974760  -2.33618969
## 559  -6.63641428   1.19187946   1.7864739   1.130974760  -2.33618969
## 560  -6.63641428   1.19187946   1.7864739   1.130974760  -2.33618969
## 561   9.18553433  -5.60733841  -6.1033031  -0.943625444   8.07337577
## 562   9.18553433  -5.60733841  -6.1033031  -0.943625444   8.07337577
## 563   9.18553433  -5.60733841  -6.1033031  -0.943625444   8.07337577
## 564   9.18553433  -5.60733841  -6.1033031  -0.943625444   8.07337577
## 565   9.18553433  -5.60733841  -6.1033031  -0.943625444   8.07337577
## 566   9.18553433  -5.60733841  -6.1033031  -0.943625444   8.07337577
## 567   9.18553433  -5.60733841  -6.1033031  -0.943625444   8.07337577
## 568   9.18553433  -5.60733841  -6.1033031  -0.943625444   8.07337577
## 569  -9.50824842 -11.99194402 -25.6439890  -8.347207208   0.58758898
## 570  -9.50824842 -11.99194402 -25.6439890  -8.347207208   0.58758898
## 571  -9.50824842 -11.99194402 -25.6439890  -8.347207208   0.58758898
## 572  -9.50824842 -11.99194402 -25.6439890  -8.347207208   0.58758898
## 573  -9.50824842 -11.99194402 -25.6439890  -8.347207208   0.58758898
## 574  -9.50824842 -11.99194402 -25.6439890  -8.347207208   0.58758898
## 575  -9.50824842 -11.99194402 -25.6439890  -8.347207208   0.58758898
## 576  -9.50824842 -11.99194402 -25.6439890  -8.347207208   0.58758898
## 577 -15.92567833  -2.41521071  -4.7363953  -4.045963025  -3.82596873
## 578 -15.92567833  -2.41521071  -4.7363953  -4.045963025  -3.82596873
## 579 -15.92567833  -2.41521071  -4.7363953  -4.045963025  -3.82596873
## 580 -15.92567833  -2.41521071  -4.7363953  -4.045963025  -3.82596873
## 581 -15.92567833  -2.41521071  -4.7363953  -4.045963025  -3.82596873
## 582 -15.92567833  -2.41521071  -4.7363953  -4.045963025  -3.82596873
## 583 -15.92567833  -2.41521071  -4.7363953  -4.045963025  -3.82596873
## 584 -15.92567833  -2.41521071  -4.7363953  -4.045963025  -3.82596873
## 585   2.63835557   1.75322999   0.1708618   1.935182737   2.64315424
## 586   2.63835557   1.75322999   0.1708618   1.935182737   2.64315424
## 587   2.63835557   1.75322999   0.1708618   1.935182737   2.64315424
## 588   2.63835557   1.75322999   0.1708618   1.935182737   2.64315424
## 589   2.63835557   1.75322999   0.1708618   1.935182737   2.64315424
## 590   2.63835557   1.75322999   0.1708618   1.935182737   2.64315424
## 591   2.63835557   1.75322999   0.1708618   1.935182737   2.64315424
## 592   2.63835557   1.75322999   0.1708618   1.935182737   2.64315424
## 593   0.92482826  -1.96033009  -3.0118479   1.139388722   1.21762143
## 594   0.92482826  -1.96033009  -3.0118479   1.139388722   1.21762143
## 595   0.92482826  -1.96033009  -3.0118479   1.139388722   1.21762143
## 596   0.92482826  -1.96033009  -3.0118479   1.139388722   1.21762143
## 597   0.92482826  -1.96033009  -3.0118479   1.139388722   1.21762143
## 598   0.92482826  -1.96033009  -3.0118479   1.139388722   1.21762143
## 599   0.92482826  -1.96033009  -3.0118479   1.139388722   1.21762143
## 600   0.92482826  -1.96033009  -3.0118479   1.139388722   1.21762143
## 601   9.36533713  -7.10963658  14.1468144 -11.282780486  19.14954665
## 602   9.36533713  -7.10963658  14.1468144 -11.282780486  19.14954665
## 603   9.36533713  -7.10963658  14.1468144 -11.282780486  19.14954665
## 604   9.36533713  -7.10963658  14.1468144 -11.282780486  19.14954665
## 605   9.36533713  -7.10963658  14.1468144 -11.282780486  19.14954665
## 606   9.36533713  -7.10963658  14.1468144 -11.282780486  19.14954665
## 607   9.36533713  -7.10963658  14.1468144 -11.282780486  19.14954665
## 608   9.36533713  -7.10963658  14.1468144 -11.282780486  19.14954665
## 609  22.65494858  79.69273511 -45.8602457  -7.061407686  37.84859925
## 610  22.65494858  79.69273511 -45.8602457  -7.061407686  37.84859925
## 611  22.65494858  79.69273511 -45.8602457  -7.061407686  37.84859925
## 612  22.65494858  79.69273511 -45.8602457  -7.061407686  37.84859925
## 613  22.65494858  79.69273511 -45.8602457  -7.061407686  37.84859925
## 614  22.65494858  79.69273511 -45.8602457  -7.061407686  37.84859925
## 615  22.65494858  79.69273511 -45.8602457  -7.061407686  37.84859925
## 616  22.65494858  79.69273511 -45.8602457  -7.061407686  37.84859925
## 617   0.70667229  -2.80430551   4.6222779  -1.501718284   0.65412346
## 618   0.70667229  -2.80430551   4.6222779  -1.501718284   0.65412346
## 619   0.70667229  -2.80430551   4.6222779  -1.501718284   0.65412346
## 620   0.70667229  -2.80430551   4.6222779  -1.501718284   0.65412346
## 621   0.70667229  -2.80430551   4.6222779  -1.501718284   0.65412346
## 622   0.70667229  -2.80430551   4.6222779  -1.501718284   0.65412346
## 623   0.70667229  -2.80430551   4.6222779  -1.501718284   0.65412346
## 624   0.70667229  -2.80430551   4.6222779  -1.501718284   0.65412346
## 625  -4.26161911  -0.01323440   0.4109978  -0.856103026  -2.98125149
## 626  -4.26161911  -0.01323440   0.4109978  -0.856103026  -2.98125149
## 627  -4.26161911  -0.01323440   0.4109978  -0.856103026  -2.98125149
## 628  -4.26161911  -0.01323440   0.4109978  -0.856103026  -2.98125149
## 629  -4.26161911  -0.01323440   0.4109978  -0.856103026  -2.98125149
## 630  -4.26161911  -0.01323440   0.4109978  -0.856103026  -2.98125149
## 631  -4.26161911  -0.01323440   0.4109978  -0.856103026  -2.98125149
## 632  -4.26161911  -0.01323440   0.4109978  -0.856103026  -2.98125149
## 633  15.50291431   1.12251106   6.5015963  -7.467626256   6.89249472
## 634  15.50291431   1.12251106   6.5015963  -7.467626256   6.89249472
## 635  15.50291431   1.12251106   6.5015963  -7.467626256   6.89249472
## 636  15.50291431   1.12251106   6.5015963  -7.467626256   6.89249472
## 637  15.50291431   1.12251106   6.5015963  -7.467626256   6.89249472
## 638  15.50291431   1.12251106   6.5015963  -7.467626256   6.89249472
## 639  15.50291431   1.12251106   6.5015963  -7.467626256   6.89249472
## 640  15.50291431   1.12251106   6.5015963  -7.467626256   6.89249472
## 641  -0.97598551  -1.46744184   1.0671906   2.246490442   1.31522662
## 642  -0.97598551  -1.46744184   1.0671906   2.246490442   1.31522662
## 643  -0.97598551  -1.46744184   1.0671906   2.246490442   1.31522662
## 644  -0.97598551  -1.46744184   1.0671906   2.246490442   1.31522662
## 645  -0.97598551  -1.46744184   1.0671906   2.246490442   1.31522662
## 646  -0.97598551  -1.46744184   1.0671906   2.246490442   1.31522662
## 647  -0.97598551  -1.46744184   1.0671906   2.246490442   1.31522662
## 648  -0.97598551  -1.46744184   1.0671906   2.246490442   1.31522662
## 649   3.86350192  -0.10860892   4.3388783   5.656151671  -4.28412127
## 650   3.86350192  -0.10860892   4.3388783   5.656151671  -4.28412127
## 651   3.86350192  -0.10860892   4.3388783   5.656151671  -4.28412127
## 652   3.86350192  -0.10860892   4.3388783   5.656151671  -4.28412127
## 653   3.86350192  -0.10860892   4.3388783   5.656151671  -4.28412127
## 654   3.86350192  -0.10860892   4.3388783   5.656151671  -4.28412127
## 655   3.86350192  -0.10860892   4.3388783   5.656151671  -4.28412127
## 656   3.86350192  -0.10860892   4.3388783   5.656151671  -4.28412127
## 657  -3.21754829  -0.22561511   2.8641658  -3.554421277  -0.97107289
## 658  -3.21754829  -0.22561511   2.8641658  -3.554421277  -0.97107289
## 659  -3.21754829  -0.22561511   2.8641658  -3.554421277  -0.97107289
## 660  -3.21754829  -0.22561511   2.8641658  -3.554421277  -0.97107289
## 661  -3.21754829  -0.22561511   2.8641658  -3.554421277  -0.97107289
## 662  -3.21754829  -0.22561511   2.8641658  -3.554421277  -0.97107289
## 663  -3.21754829  -0.22561511   2.8641658  -3.554421277  -0.97107289
## 664  -3.21754829  -0.22561511   2.8641658  -3.554421277  -0.97107289
## 665   2.24549870  -0.56149925   4.8155375   0.643150901   2.07951151
## 666   2.24549870  -0.56149925   4.8155375   0.643150901   2.07951151
## 667   2.24549870  -0.56149925   4.8155375   0.643150901   2.07951151
## 668   2.24549870  -0.56149925   4.8155375   0.643150901   2.07951151
## 669   2.24549870  -0.56149925   4.8155375   0.643150901   2.07951151
## 670   2.24549870  -0.56149925   4.8155375   0.643150901   2.07951151
## 671   2.24549870  -0.56149925   4.8155375   0.643150901   2.07951151
## 672   2.24549870  -0.56149925   4.8155375   0.643150901   2.07951151
## 673  -7.00084866  -8.78971778  -2.5497247  -0.145963315 -22.98432132
## 674  -7.00084866  -8.78971778  -2.5497247  -0.145963315 -22.98432132
## 675  -7.00084866  -8.78971778  -2.5497247  -0.145963315 -22.98432132
## 676  -7.00084866  -8.78971778  -2.5497247  -0.145963315 -22.98432132
## 677  -7.00084866  -8.78971778  -2.5497247  -0.145963315 -22.98432132
## 678  -7.00084866  -8.78971778  -2.5497247  -0.145963315 -22.98432132
## 679  -7.00084866  -8.78971778  -2.5497247  -0.145963315 -22.98432132
## 680  -7.00084866  -8.78971778  -2.5497247  -0.145963315 -22.98432132
## 681   1.17690276   2.61275212   1.0716140  -0.396087606  -0.26580188
## 682   1.17690276   2.61275212   1.0716140  -0.396087606  -0.26580188
## 683   1.17690276   2.61275212   1.0716140  -0.396087606  -0.26580188
## 684   1.17690276   2.61275212   1.0716140  -0.396087606  -0.26580188
## 685   1.17690276   2.61275212   1.0716140  -0.396087606  -0.26580188
## 686   1.17690276   2.61275212   1.0716140  -0.396087606  -0.26580188
## 687   1.17690276   2.61275212   1.0716140  -0.396087606  -0.26580188
## 688   1.17690276   2.61275212   1.0716140  -0.396087606  -0.26580188
## 689 -12.75607281  14.56059463 -30.0861762 -39.536674935 -78.39143279
## 690 -12.75607281  14.56059463 -30.0861762 -39.536674935 -78.39143279
## 691 -12.75607281  14.56059463 -30.0861762 -39.536674935 -78.39143279
## 692 -12.75607281  14.56059463 -30.0861762 -39.536674935 -78.39143279
## 693 -12.75607281  14.56059463 -30.0861762 -39.536674935 -78.39143279
## 694 -12.75607281  14.56059463 -30.0861762 -39.536674935 -78.39143279
## 695 -12.75607281  14.56059463 -30.0861762 -39.536674935 -78.39143279
## 696 -12.75607281  14.56059463 -30.0861762 -39.536674935 -78.39143279
## 697  -1.28294840  -0.97371673   0.8659623  -2.924561143  -0.84649823
## 698  -1.28294840  -0.97371673   0.8659623  -2.924561143  -0.84649823
## 699  -1.28294840  -0.97371673   0.8659623  -2.924561143  -0.84649823
## 700  -1.28294840  -0.97371673   0.8659623  -2.924561143  -0.84649823
## 701  -1.28294840  -0.97371673   0.8659623  -2.924561143  -0.84649823
## 702  -1.28294840  -0.97371673   0.8659623  -2.924561143  -0.84649823
## 703  -1.28294840  -0.97371673   0.8659623  -2.924561143  -0.84649823
## 704  -1.28294840  -0.97371673   0.8659623  -2.924561143  -0.84649823
## 705  -3.85982589   4.94406568  -6.3076861   4.584896609   4.52816492
## 706  -3.85982589   4.94406568  -6.3076861   4.584896609   4.52816492
## 707  -3.85982589   4.94406568  -6.3076861   4.584896609   4.52816492
## 708  -3.85982589   4.94406568  -6.3076861   4.584896609   4.52816492
## 709  -3.85982589   4.94406568  -6.3076861   4.584896609   4.52816492
## 710  -3.85982589   4.94406568  -6.3076861   4.584896609   4.52816492
## 711  -3.85982589   4.94406568  -6.3076861   4.584896609   4.52816492
## 712  -3.85982589   4.94406568  -6.3076861   4.584896609   4.52816492
## 713  -3.08022809   7.41270122  34.2453004  17.375730525  -1.13234396
## 714  -3.08022809   7.41270122  34.2453004  17.375730525  -1.13234396
## 715  -3.08022809   7.41270122  34.2453004  17.375730525  -1.13234396
## 716  -3.08022809   7.41270122  34.2453004  17.375730525  -1.13234396
## 717  -3.08022809   7.41270122  34.2453004  17.375730525  -1.13234396
## 718  -3.08022809   7.41270122  34.2453004  17.375730525  -1.13234396
## 719  -3.08022809   7.41270122  34.2453004  17.375730525  -1.13234396
## 720  -3.08022809   7.41270122  34.2453004  17.375730525  -1.13234396
## 721  10.20196169  -6.82647643  -7.7234896  -3.832930300   1.58302959
## 722  10.20196169  -6.82647643  -7.7234896  -3.832930300   1.58302959
## 723  10.20196169  -6.82647643  -7.7234896  -3.832930300   1.58302959
## 724  10.20196169  -6.82647643  -7.7234896  -3.832930300   1.58302959
## 725  10.20196169  -6.82647643  -7.7234896  -3.832930300   1.58302959
## 726  10.20196169  -6.82647643  -7.7234896  -3.832930300   1.58302959
## 727  10.20196169  -6.82647643  -7.7234896  -3.832930300   1.58302959
## 728  10.20196169  -6.82647643  -7.7234896  -3.832930300   1.58302959
## 729   0.28823787   0.41668850   1.4798333  -0.669229848   1.60511295
## 730   0.28823787   0.41668850   1.4798333  -0.669229848   1.60511295
## 731   0.28823787   0.41668850   1.4798333  -0.669229848   1.60511295
## 732   0.28823787   0.41668850   1.4798333  -0.669229848   1.60511295
## 733   0.28823787   0.41668850   1.4798333  -0.669229848   1.60511295
## 734   0.28823787   0.41668850   1.4798333  -0.669229848   1.60511295
## 735   0.28823787   0.41668850   1.4798333  -0.669229848   1.60511295
## 736   0.28823787   0.41668850   1.4798333  -0.669229848   1.60511295
## 737   2.84987791  -7.82770649  18.5333173   6.088290482   7.55084331
## 738   2.84987791  -7.82770649  18.5333173   6.088290482   7.55084331
## 739   2.84987791  -7.82770649  18.5333173   6.088290482   7.55084331
## 740   2.84987791  -7.82770649  18.5333173   6.088290482   7.55084331
## 741   2.84987791  -7.82770649  18.5333173   6.088290482   7.55084331
## 742   2.84987791  -7.82770649  18.5333173   6.088290482   7.55084331
## 743   2.84987791  -7.82770649  18.5333173   6.088290482   7.55084331
## 744   2.84987791  -7.82770649  18.5333173   6.088290482   7.55084331
## 745   4.26319965  14.08506458  17.5350347 -33.881285115  -1.72191013
## 746   4.26319965  14.08506458  17.5350347 -33.881285115  -1.72191013
## 747   4.26319965  14.08506458  17.5350347 -33.881285115  -1.72191013
## 748   4.26319965  14.08506458  17.5350347 -33.881285115  -1.72191013
## 749   4.26319965  14.08506458  17.5350347 -33.881285115  -1.72191013
## 750   4.26319965  14.08506458  17.5350347 -33.881285115  -1.72191013
## 751   4.26319965  14.08506458  17.5350347 -33.881285115  -1.72191013
## 752   4.26319965  14.08506458  17.5350347 -33.881285115  -1.72191013
## 753   3.54354176   0.17022179   9.3027192  -2.355397440   3.88989692
## 754   3.54354176   0.17022179   9.3027192  -2.355397440   3.88989692
## 755   3.54354176   0.17022179   9.3027192  -2.355397440   3.88989692
## 756   3.54354176   0.17022179   9.3027192  -2.355397440   3.88989692
## 757   3.54354176   0.17022179   9.3027192  -2.355397440   3.88989692
## 758   3.54354176   0.17022179   9.3027192  -2.355397440   3.88989692
## 759   3.54354176   0.17022179   9.3027192  -2.355397440   3.88989692
## 760   3.54354176   0.17022179   9.3027192  -2.355397440   3.88989692
## 761   6.98916226 -10.02603143   9.1265036   4.499059325   1.15361053
## 762   6.98916226 -10.02603143   9.1265036   4.499059325   1.15361053
## 763   6.98916226 -10.02603143   9.1265036   4.499059325   1.15361053
## 764   6.98916226 -10.02603143   9.1265036   4.499059325   1.15361053
## 765   6.98916226 -10.02603143   9.1265036   4.499059325   1.15361053
## 766   6.98916226 -10.02603143   9.1265036   4.499059325   1.15361053
## 767   6.98916226 -10.02603143   9.1265036   4.499059325   1.15361053
## 768   6.98916226 -10.02603143   9.1265036   4.499059325   1.15361053
## 769 -39.39253772   1.48963750  15.3807252  17.976891919   0.33562428
## 770 -39.39253772   1.48963750  15.3807252  17.976891919   0.33562428
## 771 -39.39253772   1.48963750  15.3807252  17.976891919   0.33562428
## 772 -39.39253772   1.48963750  15.3807252  17.976891919   0.33562428
## 773 -39.39253772   1.48963750  15.3807252  17.976891919   0.33562428
## 774 -39.39253772   1.48963750  15.3807252  17.976891919   0.33562428
## 775 -39.39253772   1.48963750  15.3807252  17.976891919   0.33562428
## 776 -39.39253772   1.48963750  15.3807252  17.976891919   0.33562428
## 777  -3.23377144   1.03487195  -2.1782662  -8.566504929  -0.37937028
## 778  -3.23377144   1.03487195  -2.1782662  -8.566504929  -0.37937028
## 779  -3.23377144   1.03487195  -2.1782662  -8.566504929  -0.37937028
## 780  -3.23377144   1.03487195  -2.1782662  -8.566504929  -0.37937028
## 781  -3.23377144   1.03487195  -2.1782662  -8.566504929  -0.37937028
## 782  -3.23377144   1.03487195  -2.1782662  -8.566504929  -0.37937028
## 783  -3.23377144   1.03487195  -2.1782662  -8.566504929  -0.37937028
## 784  -3.23377144   1.03487195  -2.1782662  -8.566504929  -0.37937028
## 785   0.76897503  -0.64566218  -1.6575331  -0.329038362  -0.84846840
## 786   0.76897503  -0.64566218  -1.6575331  -0.329038362  -0.84846840
## 787   0.76897503  -0.64566218  -1.6575331  -0.329038362  -0.84846840
## 788   0.76897503  -0.64566218  -1.6575331  -0.329038362  -0.84846840
## 789   0.76897503  -0.64566218  -1.6575331  -0.329038362  -0.84846840
## 790   0.76897503  -0.64566218  -1.6575331  -0.329038362  -0.84846840
## 791   0.76897503  -0.64566218  -1.6575331  -0.329038362  -0.84846840
## 792   0.76897503  -0.64566218  -1.6575331  -0.329038362  -0.84846840
## 793   2.77907703   3.47015517   1.2581533  -1.110977656  -1.81043823
## 794   2.77907703   3.47015517   1.2581533  -1.110977656  -1.81043823
## 795   2.77907703   3.47015517   1.2581533  -1.110977656  -1.81043823
## 796   2.77907703   3.47015517   1.2581533  -1.110977656  -1.81043823
## 797   2.77907703   3.47015517   1.2581533  -1.110977656  -1.81043823
## 798   2.77907703   3.47015517   1.2581533  -1.110977656  -1.81043823
## 799   2.77907703   3.47015517   1.2581533  -1.110977656  -1.81043823
##      PC102_score  PC103_score  PC104_score  PC105_score  PC106_score
## 1     2.13462801  -4.01185324  -4.85360178   3.91883016  -7.66420190
## 2     2.13462801  -4.01185324  -4.85360178   3.91883016  -7.66420190
## 3     2.13462801  -4.01185324  -4.85360178   3.91883016  -7.66420190
## 4     2.13462801  -4.01185324  -4.85360178   3.91883016  -7.66420190
## 5     2.13462801  -4.01185324  -4.85360178   3.91883016  -7.66420190
## 6     2.13462801  -4.01185324  -4.85360178   3.91883016  -7.66420190
## 7     2.13462801  -4.01185324  -4.85360178   3.91883016  -7.66420190
## 8     2.13462801  -4.01185324  -4.85360178   3.91883016  -7.66420190
## 9   -21.53340999 -16.66364396   8.48537204 -26.04419988  55.91762731
## 10  -21.53340999 -16.66364396   8.48537204 -26.04419988  55.91762731
## 11  -21.53340999 -16.66364396   8.48537204 -26.04419988  55.91762731
## 12  -21.53340999 -16.66364396   8.48537204 -26.04419988  55.91762731
## 13  -21.53340999 -16.66364396   8.48537204 -26.04419988  55.91762731
## 14  -21.53340999 -16.66364396   8.48537204 -26.04419988  55.91762731
## 15  -21.53340999 -16.66364396   8.48537204 -26.04419988  55.91762731
## 16  -21.53340999 -16.66364396   8.48537204 -26.04419988  55.91762731
## 17    0.68474360   0.94605997  -1.19360068  -0.45066945  -1.76753096
## 18    0.68474360   0.94605997  -1.19360068  -0.45066945  -1.76753096
## 19    0.68474360   0.94605997  -1.19360068  -0.45066945  -1.76753096
## 20    0.68474360   0.94605997  -1.19360068  -0.45066945  -1.76753096
## 21    0.68474360   0.94605997  -1.19360068  -0.45066945  -1.76753096
## 22    0.68474360   0.94605997  -1.19360068  -0.45066945  -1.76753096
## 23    0.68474360   0.94605997  -1.19360068  -0.45066945  -1.76753096
## 24    0.68474360   0.94605997  -1.19360068  -0.45066945  -1.76753096
## 25   -0.31468276   4.64768892   1.58808904   3.14053612  -0.09483958
## 26   -0.31468276   4.64768892   1.58808904   3.14053612  -0.09483958
## 27   -0.31468276   4.64768892   1.58808904   3.14053612  -0.09483958
## 28   -0.31468276   4.64768892   1.58808904   3.14053612  -0.09483958
## 29   -0.31468276   4.64768892   1.58808904   3.14053612  -0.09483958
## 30   -0.31468276   4.64768892   1.58808904   3.14053612  -0.09483958
## 31   -0.31468276   4.64768892   1.58808904   3.14053612  -0.09483958
## 32   -0.31468276   4.64768892   1.58808904   3.14053612  -0.09483958
## 33   12.02034369  -2.44019328   4.61963826   9.60281488  -2.42199658
## 34   12.02034369  -2.44019328   4.61963826   9.60281488  -2.42199658
## 35   12.02034369  -2.44019328   4.61963826   9.60281488  -2.42199658
## 36   12.02034369  -2.44019328   4.61963826   9.60281488  -2.42199658
## 37   12.02034369  -2.44019328   4.61963826   9.60281488  -2.42199658
## 38   12.02034369  -2.44019328   4.61963826   9.60281488  -2.42199658
## 39   12.02034369  -2.44019328   4.61963826   9.60281488  -2.42199658
## 40   12.02034369  -2.44019328   4.61963826   9.60281488  -2.42199658
## 41   -9.21570520   3.10867411 -20.72630987  15.06506509  -3.51285063
## 42   -9.21570520   3.10867411 -20.72630987  15.06506509  -3.51285063
## 43   -9.21570520   3.10867411 -20.72630987  15.06506509  -3.51285063
## 44   -9.21570520   3.10867411 -20.72630987  15.06506509  -3.51285063
## 45   -9.21570520   3.10867411 -20.72630987  15.06506509  -3.51285063
## 46   -9.21570520   3.10867411 -20.72630987  15.06506509  -3.51285063
## 47   -9.21570520   3.10867411 -20.72630987  15.06506509  -3.51285063
## 48   -9.21570520   3.10867411 -20.72630987  15.06506509  -3.51285063
## 49    0.10802454   1.33118317  -0.63516483  -1.27435497  -1.22165025
## 50    0.10802454   1.33118317  -0.63516483  -1.27435497  -1.22165025
## 51    0.10802454   1.33118317  -0.63516483  -1.27435497  -1.22165025
## 52    0.10802454   1.33118317  -0.63516483  -1.27435497  -1.22165025
## 53    0.10802454   1.33118317  -0.63516483  -1.27435497  -1.22165025
## 54    0.10802454   1.33118317  -0.63516483  -1.27435497  -1.22165025
## 55    0.10802454   1.33118317  -0.63516483  -1.27435497  -1.22165025
## 56    0.10802454   1.33118317  -0.63516483  -1.27435497  -1.22165025
## 57   -4.60398106   3.07550541   0.72036284   3.55948805  -3.00533580
## 58   -4.60398106   3.07550541   0.72036284   3.55948805  -3.00533580
## 59   -4.60398106   3.07550541   0.72036284   3.55948805  -3.00533580
## 60   -4.60398106   3.07550541   0.72036284   3.55948805  -3.00533580
## 61   -4.60398106   3.07550541   0.72036284   3.55948805  -3.00533580
## 62   -4.60398106   3.07550541   0.72036284   3.55948805  -3.00533580
## 63   -4.60398106   3.07550541   0.72036284   3.55948805  -3.00533580
## 64   -4.60398106   3.07550541   0.72036284   3.55948805  -3.00533580
## 65   -2.13922281   5.38389747   3.37352630   0.86449099  -5.41243687
## 66   -2.13922281   5.38389747   3.37352630   0.86449099  -5.41243687
## 67   -2.13922281   5.38389747   3.37352630   0.86449099  -5.41243687
## 68   -2.13922281   5.38389747   3.37352630   0.86449099  -5.41243687
## 69   -2.13922281   5.38389747   3.37352630   0.86449099  -5.41243687
## 70   -2.13922281   5.38389747   3.37352630   0.86449099  -5.41243687
## 71   -2.13922281   5.38389747   3.37352630   0.86449099  -5.41243687
## 72   -2.13922281   5.38389747   3.37352630   0.86449099  -5.41243687
## 73   -0.46520470  -2.40745225  -1.91032651  -2.97560010  -4.01304687
## 74   -0.46520470  -2.40745225  -1.91032651  -2.97560010  -4.01304687
## 75   -0.46520470  -2.40745225  -1.91032651  -2.97560010  -4.01304687
## 76   -0.46520470  -2.40745225  -1.91032651  -2.97560010  -4.01304687
## 77   -0.46520470  -2.40745225  -1.91032651  -2.97560010  -4.01304687
## 78   -0.46520470  -2.40745225  -1.91032651  -2.97560010  -4.01304687
## 79   -0.46520470  -2.40745225  -1.91032651  -2.97560010  -4.01304687
## 80   -0.46520470  -2.40745225  -1.91032651  -2.97560010  -4.01304687
## 81   -6.72976788  -3.12681012   5.28976387  -0.80335246  -3.26137608
## 82   -6.72976788  -3.12681012   5.28976387  -0.80335246  -3.26137608
## 83   -6.72976788  -3.12681012   5.28976387  -0.80335246  -3.26137608
## 84   -6.72976788  -3.12681012   5.28976387  -0.80335246  -3.26137608
## 85   -6.72976788  -3.12681012   5.28976387  -0.80335246  -3.26137608
## 86   -6.72976788  -3.12681012   5.28976387  -0.80335246  -3.26137608
## 87   -6.72976788  -3.12681012   5.28976387  -0.80335246  -3.26137608
## 88   -6.72976788  -3.12681012   5.28976387  -0.80335246  -3.26137608
## 89    2.63219903   0.13592362   0.62539009  -1.43451980   0.22620864
## 90    2.63219903   0.13592362   0.62539009  -1.43451980   0.22620864
## 91    2.63219903   0.13592362   0.62539009  -1.43451980   0.22620864
## 92    2.63219903   0.13592362   0.62539009  -1.43451980   0.22620864
## 93    2.63219903   0.13592362   0.62539009  -1.43451980   0.22620864
## 94    2.63219903   0.13592362   0.62539009  -1.43451980   0.22620864
## 95    2.63219903   0.13592362   0.62539009  -1.43451980   0.22620864
## 96    2.63219903   0.13592362   0.62539009  -1.43451980   0.22620864
## 97   -6.73509440  -1.40232980   0.64809708  -0.10319786  -3.35237344
## 98   -6.73509440  -1.40232980   0.64809708  -0.10319786  -3.35237344
## 99   -6.73509440  -1.40232980   0.64809708  -0.10319786  -3.35237344
## 100  -6.73509440  -1.40232980   0.64809708  -0.10319786  -3.35237344
## 101  -6.73509440  -1.40232980   0.64809708  -0.10319786  -3.35237344
## 102  -6.73509440  -1.40232980   0.64809708  -0.10319786  -3.35237344
## 103  -6.73509440  -1.40232980   0.64809708  -0.10319786  -3.35237344
## 104  -6.73509440  -1.40232980   0.64809708  -0.10319786  -3.35237344
## 105 -12.47518863  -9.14581063   2.79021396   3.58366836  -0.66999561
## 106 -12.47518863  -9.14581063   2.79021396   3.58366836  -0.66999561
## 107 -12.47518863  -9.14581063   2.79021396   3.58366836  -0.66999561
## 108 -12.47518863  -9.14581063   2.79021396   3.58366836  -0.66999561
## 109 -12.47518863  -9.14581063   2.79021396   3.58366836  -0.66999561
## 110 -12.47518863  -9.14581063   2.79021396   3.58366836  -0.66999561
## 111 -12.47518863  -9.14581063   2.79021396   3.58366836  -0.66999561
## 112 -12.47518863  -9.14581063   2.79021396   3.58366836  -0.66999561
## 113   1.13591417   2.13517746  -1.66606377  -0.25057126  -1.62407477
## 114   1.13591417   2.13517746  -1.66606377  -0.25057126  -1.62407477
## 115   1.13591417   2.13517746  -1.66606377  -0.25057126  -1.62407477
## 116   1.13591417   2.13517746  -1.66606377  -0.25057126  -1.62407477
## 117   1.13591417   2.13517746  -1.66606377  -0.25057126  -1.62407477
## 118   1.13591417   2.13517746  -1.66606377  -0.25057126  -1.62407477
## 119   1.13591417   2.13517746  -1.66606377  -0.25057126  -1.62407477
## 120   1.13591417   2.13517746  -1.66606377  -0.25057126  -1.62407477
## 121  -1.10630641   3.47448139   1.95656473   0.22648277  -1.28734789
## 122  -1.10630641   3.47448139   1.95656473   0.22648277  -1.28734789
## 123  -1.10630641   3.47448139   1.95656473   0.22648277  -1.28734789
## 124  -1.10630641   3.47448139   1.95656473   0.22648277  -1.28734789
## 125  -1.10630641   3.47448139   1.95656473   0.22648277  -1.28734789
## 126  -1.10630641   3.47448139   1.95656473   0.22648277  -1.28734789
## 127  -1.10630641   3.47448139   1.95656473   0.22648277  -1.28734789
## 128  -1.10630641   3.47448139   1.95656473   0.22648277  -1.28734789
## 129   2.63963446   1.71786950  -2.79949734  -3.20398677   4.50497938
## 130   2.63963446   1.71786950  -2.79949734  -3.20398677   4.50497938
## 131   2.63963446   1.71786950  -2.79949734  -3.20398677   4.50497938
## 132   2.63963446   1.71786950  -2.79949734  -3.20398677   4.50497938
## 133   2.63963446   1.71786950  -2.79949734  -3.20398677   4.50497938
## 134   2.63963446   1.71786950  -2.79949734  -3.20398677   4.50497938
## 135   2.63963446   1.71786950  -2.79949734  -3.20398677   4.50497938
## 136   2.63963446   1.71786950  -2.79949734  -3.20398677   4.50497938
## 137   0.63424836  -0.67058965  -1.36706775  -0.24098673  -0.01325423
## 138   0.63424836  -0.67058965  -1.36706775  -0.24098673  -0.01325423
## 139   0.63424836  -0.67058965  -1.36706775  -0.24098673  -0.01325423
## 140   0.63424836  -0.67058965  -1.36706775  -0.24098673  -0.01325423
## 141   0.63424836  -0.67058965  -1.36706775  -0.24098673  -0.01325423
## 142   0.63424836  -0.67058965  -1.36706775  -0.24098673  -0.01325423
## 143   0.63424836  -0.67058965  -1.36706775  -0.24098673  -0.01325423
## 144   0.63424836  -0.67058965  -1.36706775  -0.24098673  -0.01325423
## 145   1.16861253  -2.09775396   4.43118600   0.94055607  -1.67180977
## 146   1.16861253  -2.09775396   4.43118600   0.94055607  -1.67180977
## 147   1.16861253  -2.09775396   4.43118600   0.94055607  -1.67180977
## 148   1.16861253  -2.09775396   4.43118600   0.94055607  -1.67180977
## 149   1.16861253  -2.09775396   4.43118600   0.94055607  -1.67180977
## 150   1.16861253  -2.09775396   4.43118600   0.94055607  -1.67180977
## 151   1.16861253  -2.09775396   4.43118600   0.94055607  -1.67180977
## 152   1.16861253  -2.09775396   4.43118600   0.94055607  -1.67180977
## 153  -1.16051208  -0.09660411   0.02402179  -0.14219723   0.22210903
## 154  -1.16051208  -0.09660411   0.02402179  -0.14219723   0.22210903
## 155  -1.16051208  -0.09660411   0.02402179  -0.14219723   0.22210903
## 156  -1.16051208  -0.09660411   0.02402179  -0.14219723   0.22210903
## 157  -1.16051208  -0.09660411   0.02402179  -0.14219723   0.22210903
## 158  -1.16051208  -0.09660411   0.02402179  -0.14219723   0.22210903
## 159  -1.16051208  -0.09660411   0.02402179  -0.14219723   0.22210903
## 160  -1.16051208  -0.09660411   0.02402179  -0.14219723   0.22210903
## 161   6.38552920  -1.13082838  -6.79140413  -3.79042819  -5.46178334
## 162   6.38552920  -1.13082838  -6.79140413  -3.79042819  -5.46178334
## 163   6.38552920  -1.13082838  -6.79140413  -3.79042819  -5.46178334
## 164   6.38552920  -1.13082838  -6.79140413  -3.79042819  -5.46178334
## 165   6.38552920  -1.13082838  -6.79140413  -3.79042819  -5.46178334
## 166   6.38552920  -1.13082838  -6.79140413  -3.79042819  -5.46178334
## 167   6.38552920  -1.13082838  -6.79140413  -3.79042819  -5.46178334
## 168   6.38552920  -1.13082838  -6.79140413  -3.79042819  -5.46178334
## 169  -7.70968728   4.99440710  -1.34370281   8.71413172  22.45595805
## 170  -7.70968728   4.99440710  -1.34370281   8.71413172  22.45595805
## 171  -7.70968728   4.99440710  -1.34370281   8.71413172  22.45595805
## 172  -7.70968728   4.99440710  -1.34370281   8.71413172  22.45595805
## 173  -7.70968728   4.99440710  -1.34370281   8.71413172  22.45595805
## 174  -7.70968728   4.99440710  -1.34370281   8.71413172  22.45595805
## 175  -7.70968728   4.99440710  -1.34370281   8.71413172  22.45595805
## 176  -7.70968728   4.99440710  -1.34370281   8.71413172  22.45595805
## 177  18.41470646 -61.35244554 -46.50884200  23.45459557 -36.05617368
## 178  18.41470646 -61.35244554 -46.50884200  23.45459557 -36.05617368
## 179  18.41470646 -61.35244554 -46.50884200  23.45459557 -36.05617368
## 180  18.41470646 -61.35244554 -46.50884200  23.45459557 -36.05617368
## 181  18.41470646 -61.35244554 -46.50884200  23.45459557 -36.05617368
## 182  18.41470646 -61.35244554 -46.50884200  23.45459557 -36.05617368
## 183  18.41470646 -61.35244554 -46.50884200  23.45459557 -36.05617368
## 184  18.41470646 -61.35244554 -46.50884200  23.45459557 -36.05617368
## 185   0.10020835  -0.86962897  -0.44106935   1.75700000   2.67681668
## 186   0.10020835  -0.86962897  -0.44106935   1.75700000   2.67681668
## 187   0.10020835  -0.86962897  -0.44106935   1.75700000   2.67681668
## 188   0.10020835  -0.86962897  -0.44106935   1.75700000   2.67681668
## 189   0.10020835  -0.86962897  -0.44106935   1.75700000   2.67681668
## 190   0.10020835  -0.86962897  -0.44106935   1.75700000   2.67681668
## 191   0.10020835  -0.86962897  -0.44106935   1.75700000   2.67681668
## 192   0.10020835  -0.86962897  -0.44106935   1.75700000   2.67681668
## 193  -2.70125017  -1.64429307  -0.66508294   4.05256604   1.36634310
## 194  -2.70125017  -1.64429307  -0.66508294   4.05256604   1.36634310
## 195  -2.70125017  -1.64429307  -0.66508294   4.05256604   1.36634310
## 196  -2.70125017  -1.64429307  -0.66508294   4.05256604   1.36634310
## 197  -2.70125017  -1.64429307  -0.66508294   4.05256604   1.36634310
## 198  -2.70125017  -1.64429307  -0.66508294   4.05256604   1.36634310
## 199  -2.70125017  -1.64429307  -0.66508294   4.05256604   1.36634310
## 200  -2.70125017  -1.64429307  -0.66508294   4.05256604   1.36634310
## 201  -0.73147314   4.10822787  -2.19154190   0.49491038  -5.18596488
## 202  -0.73147314   4.10822787  -2.19154190   0.49491038  -5.18596488
## 203  -0.73147314   4.10822787  -2.19154190   0.49491038  -5.18596488
## 204  -0.73147314   4.10822787  -2.19154190   0.49491038  -5.18596488
## 205  -0.73147314   4.10822787  -2.19154190   0.49491038  -5.18596488
## 206  -0.73147314   4.10822787  -2.19154190   0.49491038  -5.18596488
## 207  -0.73147314   4.10822787  -2.19154190   0.49491038  -5.18596488
## 208  -0.73147314   4.10822787  -2.19154190   0.49491038  -5.18596488
## 209   2.12112588   0.62885738  -0.70634747   2.61752117   1.23058968
## 210   2.12112588   0.62885738  -0.70634747   2.61752117   1.23058968
## 211   2.12112588   0.62885738  -0.70634747   2.61752117   1.23058968
## 212   2.12112588   0.62885738  -0.70634747   2.61752117   1.23058968
## 213   2.12112588   0.62885738  -0.70634747   2.61752117   1.23058968
## 214   2.12112588   0.62885738  -0.70634747   2.61752117   1.23058968
## 215   2.12112588   0.62885738  -0.70634747   2.61752117   1.23058968
## 216   2.12112588   0.62885738  -0.70634747   2.61752117   1.23058968
## 217  -0.27542654   0.50579400   0.79481736   0.79045311   2.00365769
## 218  -0.27542654   0.50579400   0.79481736   0.79045311   2.00365769
## 219  -0.27542654   0.50579400   0.79481736   0.79045311   2.00365769
## 220  -0.27542654   0.50579400   0.79481736   0.79045311   2.00365769
## 221  -0.27542654   0.50579400   0.79481736   0.79045311   2.00365769
## 222  -0.27542654   0.50579400   0.79481736   0.79045311   2.00365769
## 223  -0.27542654   0.50579400   0.79481736   0.79045311   2.00365769
## 224  -0.27542654   0.50579400   0.79481736   0.79045311   2.00365769
## 225  14.83569660 -11.46044693  16.96928348  11.29881038 -15.05361272
## 226  14.83569660 -11.46044693  16.96928348  11.29881038 -15.05361272
## 227  14.83569660 -11.46044693  16.96928348  11.29881038 -15.05361272
## 228  14.83569660 -11.46044693  16.96928348  11.29881038 -15.05361272
## 229  14.83569660 -11.46044693  16.96928348  11.29881038 -15.05361272
## 230  14.83569660 -11.46044693  16.96928348  11.29881038 -15.05361272
## 231  14.83569660 -11.46044693  16.96928348  11.29881038 -15.05361272
## 232  14.83569660 -11.46044693  16.96928348  11.29881038 -15.05361272
## 233  -0.60867868   1.02288719  -0.88052669  -0.32612690  -0.48400108
## 234  -0.60867868   1.02288719  -0.88052669  -0.32612690  -0.48400108
## 235  -0.60867868   1.02288719  -0.88052669  -0.32612690  -0.48400108
## 236  -0.60867868   1.02288719  -0.88052669  -0.32612690  -0.48400108
## 237  -0.60867868   1.02288719  -0.88052669  -0.32612690  -0.48400108
## 238  -0.60867868   1.02288719  -0.88052669  -0.32612690  -0.48400108
## 239  -0.60867868   1.02288719  -0.88052669  -0.32612690  -0.48400108
## 240  -0.60867868   1.02288719  -0.88052669  -0.32612690  -0.48400108
## 241   6.03527561   3.07366616   4.09811234  -1.31474509  -8.67276416
## 242   6.03527561   3.07366616   4.09811234  -1.31474509  -8.67276416
## 243   6.03527561   3.07366616   4.09811234  -1.31474509  -8.67276416
## 244   6.03527561   3.07366616   4.09811234  -1.31474509  -8.67276416
## 245   6.03527561   3.07366616   4.09811234  -1.31474509  -8.67276416
## 246   6.03527561   3.07366616   4.09811234  -1.31474509  -8.67276416
## 247   6.03527561   3.07366616   4.09811234  -1.31474509  -8.67276416
## 248   6.03527561   3.07366616   4.09811234  -1.31474509  -8.67276416
## 249  -4.45246846  -1.88381600  -8.01682005  -2.90100453   0.81397924
## 250  -4.45246846  -1.88381600  -8.01682005  -2.90100453   0.81397924
## 251  -4.45246846  -1.88381600  -8.01682005  -2.90100453   0.81397924
## 252  -4.45246846  -1.88381600  -8.01682005  -2.90100453   0.81397924
## 253  -4.45246846  -1.88381600  -8.01682005  -2.90100453   0.81397924
## 254  -4.45246846  -1.88381600  -8.01682005  -2.90100453   0.81397924
## 255  -4.45246846  -1.88381600  -8.01682005  -2.90100453   0.81397924
## 256  -4.45246846  -1.88381600  -8.01682005  -2.90100453   0.81397924
## 257 -28.55871173  38.04520020 -10.63299481  11.78243646  17.04796700
## 258 -28.55871173  38.04520020 -10.63299481  11.78243646  17.04796700
## 259 -28.55871173  38.04520020 -10.63299481  11.78243646  17.04796700
## 260 -28.55871173  38.04520020 -10.63299481  11.78243646  17.04796700
## 261 -28.55871173  38.04520020 -10.63299481  11.78243646  17.04796700
## 262 -28.55871173  38.04520020 -10.63299481  11.78243646  17.04796700
## 263 -28.55871173  38.04520020 -10.63299481  11.78243646  17.04796700
## 264 -28.55871173  38.04520020 -10.63299481  11.78243646  17.04796700
## 265  -1.17238286   4.73549503   3.24224948   5.02347870   1.81134259
## 266  -1.17238286   4.73549503   3.24224948   5.02347870   1.81134259
## 267  -1.17238286   4.73549503   3.24224948   5.02347870   1.81134259
## 268  -1.17238286   4.73549503   3.24224948   5.02347870   1.81134259
## 269  -1.17238286   4.73549503   3.24224948   5.02347870   1.81134259
## 270  -1.17238286   4.73549503   3.24224948   5.02347870   1.81134259
## 271  -1.17238286   4.73549503   3.24224948   5.02347870   1.81134259
## 272  -1.17238286   4.73549503   3.24224948   5.02347870   1.81134259
## 273  -3.53724487   1.12419050   1.59261039  -3.17719667  -0.04196570
## 274  -3.53724487   1.12419050   1.59261039  -3.17719667  -0.04196570
## 275  -3.53724487   1.12419050   1.59261039  -3.17719667  -0.04196570
## 276  -3.53724487   1.12419050   1.59261039  -3.17719667  -0.04196570
## 277  -3.53724487   1.12419050   1.59261039  -3.17719667  -0.04196570
## 278  -3.53724487   1.12419050   1.59261039  -3.17719667  -0.04196570
## 279  -3.53724487   1.12419050   1.59261039  -3.17719667  -0.04196570
## 280  -3.53724487   1.12419050   1.59261039  -3.17719667  -0.04196570
## 281  -1.72985765  -3.82442974   2.49546508   1.67913424  -0.54576201
## 282  -1.72985765  -3.82442974   2.49546508   1.67913424  -0.54576201
## 283  -1.72985765  -3.82442974   2.49546508   1.67913424  -0.54576201
## 284  -1.72985765  -3.82442974   2.49546508   1.67913424  -0.54576201
## 285  -1.72985765  -3.82442974   2.49546508   1.67913424  -0.54576201
## 286  -1.72985765  -3.82442974   2.49546508   1.67913424  -0.54576201
## 287  -1.72985765  -3.82442974   2.49546508   1.67913424  -0.54576201
## 288  -1.72985765  -3.82442974   2.49546508   1.67913424  -0.54576201
## 289   7.34724776   7.64184265   4.49540488   3.00325114   6.27646323
## 290   7.34724776   7.64184265   4.49540488   3.00325114   6.27646323
## 291   7.34724776   7.64184265   4.49540488   3.00325114   6.27646323
## 292   7.34724776   7.64184265   4.49540488   3.00325114   6.27646323
## 293   7.34724776   7.64184265   4.49540488   3.00325114   6.27646323
## 294   7.34724776   7.64184265   4.49540488   3.00325114   6.27646323
## 295   7.34724776   7.64184265   4.49540488   3.00325114   6.27646323
## 296   7.34724776   7.64184265   4.49540488   3.00325114   6.27646323
## 297   1.10724187  14.25950271  -2.80461491   6.18156137  -1.37151481
## 298   1.10724187  14.25950271  -2.80461491   6.18156137  -1.37151481
## 299   1.10724187  14.25950271  -2.80461491   6.18156137  -1.37151481
## 300   1.10724187  14.25950271  -2.80461491   6.18156137  -1.37151481
## 301   1.10724187  14.25950271  -2.80461491   6.18156137  -1.37151481
## 302   1.10724187  14.25950271  -2.80461491   6.18156137  -1.37151481
## 303   1.10724187  14.25950271  -2.80461491   6.18156137  -1.37151481
## 304   1.10724187  14.25950271  -2.80461491   6.18156137  -1.37151481
## 305  27.77556310 -23.93592819  75.04919177  -7.50003887 -13.98075029
## 306  27.77556310 -23.93592819  75.04919177  -7.50003887 -13.98075029
## 307  27.77556310 -23.93592819  75.04919177  -7.50003887 -13.98075029
## 308  27.77556310 -23.93592819  75.04919177  -7.50003887 -13.98075029
## 309  27.77556310 -23.93592819  75.04919177  -7.50003887 -13.98075029
## 310  27.77556310 -23.93592819  75.04919177  -7.50003887 -13.98075029
## 311  27.77556310 -23.93592819  75.04919177  -7.50003887 -13.98075029
## 312  27.77556310 -23.93592819  75.04919177  -7.50003887 -13.98075029
## 313  -4.04776434   1.73913510   0.46347183   1.02128936  -2.34101547
## 314  -4.04776434   1.73913510   0.46347183   1.02128936  -2.34101547
## 315  -4.04776434   1.73913510   0.46347183   1.02128936  -2.34101547
## 316  -4.04776434   1.73913510   0.46347183   1.02128936  -2.34101547
## 317  -4.04776434   1.73913510   0.46347183   1.02128936  -2.34101547
## 318  -4.04776434   1.73913510   0.46347183   1.02128936  -2.34101547
## 319  -4.04776434   1.73913510   0.46347183   1.02128936  -2.34101547
## 320  -4.04776434   1.73913510   0.46347183   1.02128936  -2.34101547
## 321  -3.72029969  -6.74103587  -2.20617485   1.60418594  -1.61769956
## 322  -3.72029969  -6.74103587  -2.20617485   1.60418594  -1.61769956
## 323  -3.72029969  -6.74103587  -2.20617485   1.60418594  -1.61769956
## 324  -3.72029969  -6.74103587  -2.20617485   1.60418594  -1.61769956
## 325  -3.72029969  -6.74103587  -2.20617485   1.60418594  -1.61769956
## 326  -3.72029969  -6.74103587  -2.20617485   1.60418594  -1.61769956
## 327  -3.72029969  -6.74103587  -2.20617485   1.60418594  -1.61769956
## 328  -3.72029969  -6.74103587  -2.20617485   1.60418594  -1.61769956
## 329   7.17213432  -0.05268974   4.14208747  -4.29190217  -4.58522781
## 330   7.17213432  -0.05268974   4.14208747  -4.29190217  -4.58522781
## 331   7.17213432  -0.05268974   4.14208747  -4.29190217  -4.58522781
## 332   7.17213432  -0.05268974   4.14208747  -4.29190217  -4.58522781
## 333   7.17213432  -0.05268974   4.14208747  -4.29190217  -4.58522781
## 334   7.17213432  -0.05268974   4.14208747  -4.29190217  -4.58522781
## 335   7.17213432  -0.05268974   4.14208747  -4.29190217  -4.58522781
## 336   7.17213432  -0.05268974   4.14208747  -4.29190217  -4.58522781
## 337   1.18158210   2.09347207   0.03233182   1.42958663  -4.35316166
## 338   1.18158210   2.09347207   0.03233182   1.42958663  -4.35316166
## 339   1.18158210   2.09347207   0.03233182   1.42958663  -4.35316166
## 340   1.18158210   2.09347207   0.03233182   1.42958663  -4.35316166
## 341   1.18158210   2.09347207   0.03233182   1.42958663  -4.35316166
## 342   1.18158210   2.09347207   0.03233182   1.42958663  -4.35316166
## 343   1.18158210   2.09347207   0.03233182   1.42958663  -4.35316166
## 344   1.18158210   2.09347207   0.03233182   1.42958663  -4.35316166
## 345   1.71261851   0.18302626  -2.66365394   3.93333306  -0.20305251
## 346   1.71261851   0.18302626  -2.66365394   3.93333306  -0.20305251
## 347   1.71261851   0.18302626  -2.66365394   3.93333306  -0.20305251
## 348   1.71261851   0.18302626  -2.66365394   3.93333306  -0.20305251
## 349   1.71261851   0.18302626  -2.66365394   3.93333306  -0.20305251
## 350   1.71261851   0.18302626  -2.66365394   3.93333306  -0.20305251
## 351   1.71261851   0.18302626  -2.66365394   3.93333306  -0.20305251
## 352   1.71261851   0.18302626  -2.66365394   3.93333306  -0.20305251
## 353   3.50756906   1.42832266   7.07339503  -8.34692312  -2.31709321
## 354   3.50756906   1.42832266   7.07339503  -8.34692312  -2.31709321
## 355   3.50756906   1.42832266   7.07339503  -8.34692312  -2.31709321
## 356   3.50756906   1.42832266   7.07339503  -8.34692312  -2.31709321
## 357   3.50756906   1.42832266   7.07339503  -8.34692312  -2.31709321
## 358   3.50756906   1.42832266   7.07339503  -8.34692312  -2.31709321
## 359   3.50756906   1.42832266   7.07339503  -8.34692312  -2.31709321
## 360   3.50756906   1.42832266   7.07339503  -8.34692312  -2.31709321
## 361   0.23538511   2.34452248   1.49612337   0.52615937   0.84286295
## 362   0.23538511   2.34452248   1.49612337   0.52615937   0.84286295
## 363   0.23538511   2.34452248   1.49612337   0.52615937   0.84286295
## 364   0.23538511   2.34452248   1.49612337   0.52615937   0.84286295
## 365   0.23538511   2.34452248   1.49612337   0.52615937   0.84286295
## 366   0.23538511   2.34452248   1.49612337   0.52615937   0.84286295
## 367   0.23538511   2.34452248   1.49612337   0.52615937   0.84286295
## 368   0.23538511   2.34452248   1.49612337   0.52615937   0.84286295
## 369  -0.17693769 -11.89122342   0.80770925  -3.07190247   1.14169704
## 370  -0.17693769 -11.89122342   0.80770925  -3.07190247   1.14169704
## 371  -0.17693769 -11.89122342   0.80770925  -3.07190247   1.14169704
## 372  -0.17693769 -11.89122342   0.80770925  -3.07190247   1.14169704
## 373  -0.17693769 -11.89122342   0.80770925  -3.07190247   1.14169704
## 374  -0.17693769 -11.89122342   0.80770925  -3.07190247   1.14169704
## 375  -0.17693769 -11.89122342   0.80770925  -3.07190247   1.14169704
## 376  -0.17693769 -11.89122342   0.80770925  -3.07190247   1.14169704
## 377   6.23759476  -1.47700238  -1.77253976  -1.66226749   2.36935085
## 378   6.23759476  -1.47700238  -1.77253976  -1.66226749   2.36935085
## 379   6.23759476  -1.47700238  -1.77253976  -1.66226749   2.36935085
## 380   6.23759476  -1.47700238  -1.77253976  -1.66226749   2.36935085
## 381   6.23759476  -1.47700238  -1.77253976  -1.66226749   2.36935085
## 382   6.23759476  -1.47700238  -1.77253976  -1.66226749   2.36935085
## 383   6.23759476  -1.47700238  -1.77253976  -1.66226749   2.36935085
## 384   6.23759476  -1.47700238  -1.77253976  -1.66226749   2.36935085
## 385 -16.32765543  20.48422470  32.45982294 -14.43629552   4.57828079
## 386 -16.32765543  20.48422470  32.45982294 -14.43629552   4.57828079
## 387 -16.32765543  20.48422470  32.45982294 -14.43629552   4.57828079
## 388 -16.32765543  20.48422470  32.45982294 -14.43629552   4.57828079
## 389 -16.32765543  20.48422470  32.45982294 -14.43629552   4.57828079
## 390 -16.32765543  20.48422470  32.45982294 -14.43629552   4.57828079
## 391 -16.32765543  20.48422470  32.45982294 -14.43629552   4.57828079
## 392 -16.32765543  20.48422470  32.45982294 -14.43629552   4.57828079
## 393  20.40705071   5.04542525 -14.05746643  15.38458556  21.99885004
## 394  20.40705071   5.04542525 -14.05746643  15.38458556  21.99885004
## 395  20.40705071   5.04542525 -14.05746643  15.38458556  21.99885004
## 396  20.40705071   5.04542525 -14.05746643  15.38458556  21.99885004
## 397  20.40705071   5.04542525 -14.05746643  15.38458556  21.99885004
## 398  20.40705071   5.04542525 -14.05746643  15.38458556  21.99885004
## 399  20.40705071   5.04542525 -14.05746643  15.38458556  21.99885004
## 400  20.40705071   5.04542525 -14.05746643  15.38458556  21.99885004
## 401  -0.54908021   2.87487027   1.48440735   4.24329086   1.11978272
## 402  -0.54908021   2.87487027   1.48440735   4.24329086   1.11978272
## 403  -0.54908021   2.87487027   1.48440735   4.24329086   1.11978272
## 404  -0.54908021   2.87487027   1.48440735   4.24329086   1.11978272
## 405  -0.54908021   2.87487027   1.48440735   4.24329086   1.11978272
## 406  -0.54908021   2.87487027   1.48440735   4.24329086   1.11978272
## 407  -0.54908021   2.87487027   1.48440735   4.24329086   1.11978272
## 408  -0.54908021   2.87487027   1.48440735   4.24329086   1.11978272
## 409  -5.97010052  -2.92858220   1.35286495   0.84277204   3.37185954
## 410  -5.97010052  -2.92858220   1.35286495   0.84277204   3.37185954
## 411  -5.97010052  -2.92858220   1.35286495   0.84277204   3.37185954
## 412  -5.97010052  -2.92858220   1.35286495   0.84277204   3.37185954
## 413  -5.97010052  -2.92858220   1.35286495   0.84277204   3.37185954
## 414  -5.97010052  -2.92858220   1.35286495   0.84277204   3.37185954
## 415  -5.97010052  -2.92858220   1.35286495   0.84277204   3.37185954
## 416  -5.97010052  -2.92858220   1.35286495   0.84277204   3.37185954
## 417   1.96747189   4.18846055  -8.47842455   3.31434943 -16.15844196
## 418   1.96747189   4.18846055  -8.47842455   3.31434943 -16.15844196
## 419   1.96747189   4.18846055  -8.47842455   3.31434943 -16.15844196
## 420   1.96747189   4.18846055  -8.47842455   3.31434943 -16.15844196
## 421   1.96747189   4.18846055  -8.47842455   3.31434943 -16.15844196
## 422   1.96747189   4.18846055  -8.47842455   3.31434943 -16.15844196
## 423   1.96747189   4.18846055  -8.47842455   3.31434943 -16.15844196
## 424   1.96747189   4.18846055  -8.47842455   3.31434943 -16.15844196
## 425  -1.37522294  -4.87287019   0.13990464  -1.71416679  -3.38868666
## 426  -1.37522294  -4.87287019   0.13990464  -1.71416679  -3.38868666
## 427  -1.37522294  -4.87287019   0.13990464  -1.71416679  -3.38868666
## 428  -1.37522294  -4.87287019   0.13990464  -1.71416679  -3.38868666
## 429  -1.37522294  -4.87287019   0.13990464  -1.71416679  -3.38868666
## 430  -1.37522294  -4.87287019   0.13990464  -1.71416679  -3.38868666
## 431  -1.37522294  -4.87287019   0.13990464  -1.71416679  -3.38868666
## 432  -1.37522294  -4.87287019   0.13990464  -1.71416679  -3.38868666
## 433  -4.99170437  11.80583792   0.27453011  -2.10116470  -0.62702751
## 434  -4.99170437  11.80583792   0.27453011  -2.10116470  -0.62702751
## 435  -4.99170437  11.80583792   0.27453011  -2.10116470  -0.62702751
## 436  -4.99170437  11.80583792   0.27453011  -2.10116470  -0.62702751
## 437  -4.99170437  11.80583792   0.27453011  -2.10116470  -0.62702751
## 438  -4.99170437  11.80583792   0.27453011  -2.10116470  -0.62702751
## 439  -4.99170437  11.80583792   0.27453011  -2.10116470  -0.62702751
## 440  -4.99170437  11.80583792   0.27453011  -2.10116470  -0.62702751
## 441  -0.47452418  -0.84108870   3.27186396   0.89179077  -1.37261902
## 442  -0.47452418  -0.84108870   3.27186396   0.89179077  -1.37261902
## 443  -0.47452418  -0.84108870   3.27186396   0.89179077  -1.37261902
## 444  -0.47452418  -0.84108870   3.27186396   0.89179077  -1.37261902
## 445  -0.47452418  -0.84108870   3.27186396   0.89179077  -1.37261902
## 446  -0.47452418  -0.84108870   3.27186396   0.89179077  -1.37261902
## 447  -0.47452418  -0.84108870   3.27186396   0.89179077  -1.37261902
## 448  -0.47452418  -0.84108870   3.27186396   0.89179077  -1.37261902
## 449  -6.87515559   0.33485665  -5.39735448  -2.10523755  -4.10582573
## 450  -6.87515559   0.33485665  -5.39735448  -2.10523755  -4.10582573
## 451  -6.87515559   0.33485665  -5.39735448  -2.10523755  -4.10582573
## 452  -6.87515559   0.33485665  -5.39735448  -2.10523755  -4.10582573
## 453  -6.87515559   0.33485665  -5.39735448  -2.10523755  -4.10582573
## 454  -6.87515559   0.33485665  -5.39735448  -2.10523755  -4.10582573
## 455  -6.87515559   0.33485665  -5.39735448  -2.10523755  -4.10582573
## 456  -6.87515559   0.33485665  -5.39735448  -2.10523755  -4.10582573
## 457  -5.28418435 -13.10214105   0.01186876  -1.49677957   2.07842103
## 458  -5.28418435 -13.10214105   0.01186876  -1.49677957   2.07842103
## 459  -5.28418435 -13.10214105   0.01186876  -1.49677957   2.07842103
## 460  -5.28418435 -13.10214105   0.01186876  -1.49677957   2.07842103
## 461  -5.28418435 -13.10214105   0.01186876  -1.49677957   2.07842103
## 462  -5.28418435 -13.10214105   0.01186876  -1.49677957   2.07842103
## 463  -5.28418435 -13.10214105   0.01186876  -1.49677957   2.07842103
## 464  -5.28418435 -13.10214105   0.01186876  -1.49677957   2.07842103
## 465  -0.84157134   4.09822789  -2.26688157   1.37317614  -0.41857272
## 466  -0.84157134   4.09822789  -2.26688157   1.37317614  -0.41857272
## 467  -0.84157134   4.09822789  -2.26688157   1.37317614  -0.41857272
## 468  -0.84157134   4.09822789  -2.26688157   1.37317614  -0.41857272
## 469  -0.84157134   4.09822789  -2.26688157   1.37317614  -0.41857272
## 470  -0.84157134   4.09822789  -2.26688157   1.37317614  -0.41857272
## 471  -0.84157134   4.09822789  -2.26688157   1.37317614  -0.41857272
## 472  -0.84157134   4.09822789  -2.26688157   1.37317614  -0.41857272
## 473  -0.29108495  -1.11571296  -1.10996237  -0.52570079  -2.57720050
## 474  -0.29108495  -1.11571296  -1.10996237  -0.52570079  -2.57720050
## 475  -0.29108495  -1.11571296  -1.10996237  -0.52570079  -2.57720050
## 476  -0.29108495  -1.11571296  -1.10996237  -0.52570079  -2.57720050
## 477  -0.29108495  -1.11571296  -1.10996237  -0.52570079  -2.57720050
## 478  -0.29108495  -1.11571296  -1.10996237  -0.52570079  -2.57720050
## 479  -0.29108495  -1.11571296  -1.10996237  -0.52570079  -2.57720050
## 480  -0.29108495  -1.11571296  -1.10996237  -0.52570079  -2.57720050
## 481  -2.37316246   0.67937638   0.80776447   1.63303369   2.68555835
## 482  -2.37316246   0.67937638   0.80776447   1.63303369   2.68555835
## 483  -2.37316246   0.67937638   0.80776447   1.63303369   2.68555835
## 484  -2.37316246   0.67937638   0.80776447   1.63303369   2.68555835
## 485  -2.37316246   0.67937638   0.80776447   1.63303369   2.68555835
## 486  -2.37316246   0.67937638   0.80776447   1.63303369   2.68555835
## 487  -2.37316246   0.67937638   0.80776447   1.63303369   2.68555835
## 488  -2.37316246   0.67937638   0.80776447   1.63303369   2.68555835
## 489  -3.12860413  -2.74272878   1.43529929  -1.67060013   1.20878025
## 490  -3.12860413  -2.74272878   1.43529929  -1.67060013   1.20878025
## 491  -3.12860413  -2.74272878   1.43529929  -1.67060013   1.20878025
## 492  -3.12860413  -2.74272878   1.43529929  -1.67060013   1.20878025
## 493  -3.12860413  -2.74272878   1.43529929  -1.67060013   1.20878025
## 494  -3.12860413  -2.74272878   1.43529929  -1.67060013   1.20878025
## 495  -3.12860413  -2.74272878   1.43529929  -1.67060013   1.20878025
## 496  -3.12860413  -2.74272878   1.43529929  -1.67060013   1.20878025
## 497  -5.74663540 -17.00998524   3.92646235   1.85237972  -2.26798366
## 498  -5.74663540 -17.00998524   3.92646235   1.85237972  -2.26798366
## 499  -5.74663540 -17.00998524   3.92646235   1.85237972  -2.26798366
## 500  -5.74663540 -17.00998524   3.92646235   1.85237972  -2.26798366
## 501  -5.74663540 -17.00998524   3.92646235   1.85237972  -2.26798366
## 502  -5.74663540 -17.00998524   3.92646235   1.85237972  -2.26798366
## 503  -5.74663540 -17.00998524   3.92646235   1.85237972  -2.26798366
## 504  -5.74663540 -17.00998524   3.92646235   1.85237972  -2.26798366
## 505  -0.73469577  -1.24225654   0.09051582   0.84126907  -0.42513055
## 506  -0.73469577  -1.24225654   0.09051582   0.84126907  -0.42513055
## 507  -0.73469577  -1.24225654   0.09051582   0.84126907  -0.42513055
## 508  -0.73469577  -1.24225654   0.09051582   0.84126907  -0.42513055
## 509  -0.73469577  -1.24225654   0.09051582   0.84126907  -0.42513055
## 510  -0.73469577  -1.24225654   0.09051582   0.84126907  -0.42513055
## 511  -0.73469577  -1.24225654   0.09051582   0.84126907  -0.42513055
## 512  -0.73469577  -1.24225654   0.09051582   0.84126907  -0.42513055
## 513   1.14793894  -0.12975318   2.02395562   1.02198957  -2.72956410
## 514   1.14793894  -0.12975318   2.02395562   1.02198957  -2.72956410
## 515   1.14793894  -0.12975318   2.02395562   1.02198957  -2.72956410
## 516   1.14793894  -0.12975318   2.02395562   1.02198957  -2.72956410
## 517   1.14793894  -0.12975318   2.02395562   1.02198957  -2.72956410
## 518   1.14793894  -0.12975318   2.02395562   1.02198957  -2.72956410
## 519   1.14793894  -0.12975318   2.02395562   1.02198957  -2.72956410
## 520   1.14793894  -0.12975318   2.02395562   1.02198957  -2.72956410
## 521   0.86216232  -1.52253836  -2.45795280   3.95648820   1.36122118
## 522   0.86216232  -1.52253836  -2.45795280   3.95648820   1.36122118
## 523   0.86216232  -1.52253836  -2.45795280   3.95648820   1.36122118
## 524   0.86216232  -1.52253836  -2.45795280   3.95648820   1.36122118
## 525   0.86216232  -1.52253836  -2.45795280   3.95648820   1.36122118
## 526   0.86216232  -1.52253836  -2.45795280   3.95648820   1.36122118
## 527   0.86216232  -1.52253836  -2.45795280   3.95648820   1.36122118
## 528   0.86216232  -1.52253836  -2.45795280   3.95648820   1.36122118
## 529  -1.02438473  -3.19786310   2.55947033   2.17718582  -1.91493171
## 530  -1.02438473  -3.19786310   2.55947033   2.17718582  -1.91493171
## 531  -1.02438473  -3.19786310   2.55947033   2.17718582  -1.91493171
## 532  -1.02438473  -3.19786310   2.55947033   2.17718582  -1.91493171
## 533  -1.02438473  -3.19786310   2.55947033   2.17718582  -1.91493171
## 534  -1.02438473  -3.19786310   2.55947033   2.17718582  -1.91493171
## 535  -1.02438473  -3.19786310   2.55947033   2.17718582  -1.91493171
## 536  -1.02438473  -3.19786310   2.55947033   2.17718582  -1.91493171
## 537  -3.19650732   7.97306000  -3.83629301   2.78169625   3.57940784
## 538  -3.19650732   7.97306000  -3.83629301   2.78169625   3.57940784
## 539  -3.19650732   7.97306000  -3.83629301   2.78169625   3.57940784
## 540  -3.19650732   7.97306000  -3.83629301   2.78169625   3.57940784
## 541  -3.19650732   7.97306000  -3.83629301   2.78169625   3.57940784
## 542  -3.19650732   7.97306000  -3.83629301   2.78169625   3.57940784
## 543  -3.19650732   7.97306000  -3.83629301   2.78169625   3.57940784
## 544  -3.19650732   7.97306000  -3.83629301   2.78169625   3.57940784
## 545  25.14922447  18.46891311 -45.63873424 -85.02538629  -7.48783179
## 546  25.14922447  18.46891311 -45.63873424 -85.02538629  -7.48783179
## 547  25.14922447  18.46891311 -45.63873424 -85.02538629  -7.48783179
## 548  25.14922447  18.46891311 -45.63873424 -85.02538629  -7.48783179
## 549  25.14922447  18.46891311 -45.63873424 -85.02538629  -7.48783179
## 550  25.14922447  18.46891311 -45.63873424 -85.02538629  -7.48783179
## 551  25.14922447  18.46891311 -45.63873424 -85.02538629  -7.48783179
## 552  25.14922447  18.46891311 -45.63873424 -85.02538629  -7.48783179
## 553  -2.98951756   0.28684977   3.12958767  -4.93808401   1.08687646
## 554  -2.98951756   0.28684977   3.12958767  -4.93808401   1.08687646
## 555  -2.98951756   0.28684977   3.12958767  -4.93808401   1.08687646
## 556  -2.98951756   0.28684977   3.12958767  -4.93808401   1.08687646
## 557  -2.98951756   0.28684977   3.12958767  -4.93808401   1.08687646
## 558  -2.98951756   0.28684977   3.12958767  -4.93808401   1.08687646
## 559  -2.98951756   0.28684977   3.12958767  -4.93808401   1.08687646
## 560  -2.98951756   0.28684977   3.12958767  -4.93808401   1.08687646
## 561  -0.27108069  -2.82797645  -3.61363559  -6.77770833   2.38944001
## 562  -0.27108069  -2.82797645  -3.61363559  -6.77770833   2.38944001
## 563  -0.27108069  -2.82797645  -3.61363559  -6.77770833   2.38944001
## 564  -0.27108069  -2.82797645  -3.61363559  -6.77770833   2.38944001
## 565  -0.27108069  -2.82797645  -3.61363559  -6.77770833   2.38944001
## 566  -0.27108069  -2.82797645  -3.61363559  -6.77770833   2.38944001
## 567  -0.27108069  -2.82797645  -3.61363559  -6.77770833   2.38944001
## 568  -0.27108069  -2.82797645  -3.61363559  -6.77770833   2.38944001
## 569  22.99407641  -3.70064650  13.87465671 -45.04911346  15.95938868
## 570  22.99407641  -3.70064650  13.87465671 -45.04911346  15.95938868
## 571  22.99407641  -3.70064650  13.87465671 -45.04911346  15.95938868
## 572  22.99407641  -3.70064650  13.87465671 -45.04911346  15.95938868
## 573  22.99407641  -3.70064650  13.87465671 -45.04911346  15.95938868
## 574  22.99407641  -3.70064650  13.87465671 -45.04911346  15.95938868
## 575  22.99407641  -3.70064650  13.87465671 -45.04911346  15.95938868
## 576  22.99407641  -3.70064650  13.87465671 -45.04911346  15.95938868
## 577  -6.56847610   5.87758526   5.57915397   1.64465847  -7.96220275
## 578  -6.56847610   5.87758526   5.57915397   1.64465847  -7.96220275
## 579  -6.56847610   5.87758526   5.57915397   1.64465847  -7.96220275
## 580  -6.56847610   5.87758526   5.57915397   1.64465847  -7.96220275
## 581  -6.56847610   5.87758526   5.57915397   1.64465847  -7.96220275
## 582  -6.56847610   5.87758526   5.57915397   1.64465847  -7.96220275
## 583  -6.56847610   5.87758526   5.57915397   1.64465847  -7.96220275
## 584  -6.56847610   5.87758526   5.57915397   1.64465847  -7.96220275
## 585   1.14037779   0.90305623   1.01864364  -1.04083147   1.37315773
## 586   1.14037779   0.90305623   1.01864364  -1.04083147   1.37315773
## 587   1.14037779   0.90305623   1.01864364  -1.04083147   1.37315773
## 588   1.14037779   0.90305623   1.01864364  -1.04083147   1.37315773
## 589   1.14037779   0.90305623   1.01864364  -1.04083147   1.37315773
## 590   1.14037779   0.90305623   1.01864364  -1.04083147   1.37315773
## 591   1.14037779   0.90305623   1.01864364  -1.04083147   1.37315773
## 592   1.14037779   0.90305623   1.01864364  -1.04083147   1.37315773
## 593  -2.49476117  -0.17606011  -0.77268272  -2.89392191   0.99275803
## 594  -2.49476117  -0.17606011  -0.77268272  -2.89392191   0.99275803
## 595  -2.49476117  -0.17606011  -0.77268272  -2.89392191   0.99275803
## 596  -2.49476117  -0.17606011  -0.77268272  -2.89392191   0.99275803
## 597  -2.49476117  -0.17606011  -0.77268272  -2.89392191   0.99275803
## 598  -2.49476117  -0.17606011  -0.77268272  -2.89392191   0.99275803
## 599  -2.49476117  -0.17606011  -0.77268272  -2.89392191   0.99275803
## 600  -2.49476117  -0.17606011  -0.77268272  -2.89392191   0.99275803
## 601  -7.58291096   9.04812582  14.91959688   3.80552604  -2.55352233
## 602  -7.58291096   9.04812582  14.91959688   3.80552604  -2.55352233
## 603  -7.58291096   9.04812582  14.91959688   3.80552604  -2.55352233
## 604  -7.58291096   9.04812582  14.91959688   3.80552604  -2.55352233
## 605  -7.58291096   9.04812582  14.91959688   3.80552604  -2.55352233
## 606  -7.58291096   9.04812582  14.91959688   3.80552604  -2.55352233
## 607  -7.58291096   9.04812582  14.91959688   3.80552604  -2.55352233
## 608  -7.58291096   9.04812582  14.91959688   3.80552604  -2.55352233
## 609   8.72979043  24.12315054 -27.36597600  20.83108386   3.47868651
## 610   8.72979043  24.12315054 -27.36597600  20.83108386   3.47868651
## 611   8.72979043  24.12315054 -27.36597600  20.83108386   3.47868651
## 612   8.72979043  24.12315054 -27.36597600  20.83108386   3.47868651
## 613   8.72979043  24.12315054 -27.36597600  20.83108386   3.47868651
## 614   8.72979043  24.12315054 -27.36597600  20.83108386   3.47868651
## 615   8.72979043  24.12315054 -27.36597600  20.83108386   3.47868651
## 616   8.72979043  24.12315054 -27.36597600  20.83108386   3.47868651
## 617   4.38328841  -7.20017107   2.15335999  -1.85727007   2.87472821
## 618   4.38328841  -7.20017107   2.15335999  -1.85727007   2.87472821
## 619   4.38328841  -7.20017107   2.15335999  -1.85727007   2.87472821
## 620   4.38328841  -7.20017107   2.15335999  -1.85727007   2.87472821
## 621   4.38328841  -7.20017107   2.15335999  -1.85727007   2.87472821
## 622   4.38328841  -7.20017107   2.15335999  -1.85727007   2.87472821
## 623   4.38328841  -7.20017107   2.15335999  -1.85727007   2.87472821
## 624   4.38328841  -7.20017107   2.15335999  -1.85727007   2.87472821
## 625  -4.32136318  -6.08233892   7.93139865   4.28486009   7.39712327
## 626  -4.32136318  -6.08233892   7.93139865   4.28486009   7.39712327
## 627  -4.32136318  -6.08233892   7.93139865   4.28486009   7.39712327
## 628  -4.32136318  -6.08233892   7.93139865   4.28486009   7.39712327
## 629  -4.32136318  -6.08233892   7.93139865   4.28486009   7.39712327
## 630  -4.32136318  -6.08233892   7.93139865   4.28486009   7.39712327
## 631  -4.32136318  -6.08233892   7.93139865   4.28486009   7.39712327
## 632  -4.32136318  -6.08233892   7.93139865   4.28486009   7.39712327
## 633 -11.56836709   2.75739985   3.42006807  11.21671600   0.84880532
## 634 -11.56836709   2.75739985   3.42006807  11.21671600   0.84880532
## 635 -11.56836709   2.75739985   3.42006807  11.21671600   0.84880532
## 636 -11.56836709   2.75739985   3.42006807  11.21671600   0.84880532
## 637 -11.56836709   2.75739985   3.42006807  11.21671600   0.84880532
## 638 -11.56836709   2.75739985   3.42006807  11.21671600   0.84880532
## 639 -11.56836709   2.75739985   3.42006807  11.21671600   0.84880532
## 640 -11.56836709   2.75739985   3.42006807  11.21671600   0.84880532
## 641  -2.25998858   0.83124516  -2.65860719  -0.48116323   1.46616585
## 642  -2.25998858   0.83124516  -2.65860719  -0.48116323   1.46616585
## 643  -2.25998858   0.83124516  -2.65860719  -0.48116323   1.46616585
## 644  -2.25998858   0.83124516  -2.65860719  -0.48116323   1.46616585
## 645  -2.25998858   0.83124516  -2.65860719  -0.48116323   1.46616585
## 646  -2.25998858   0.83124516  -2.65860719  -0.48116323   1.46616585
## 647  -2.25998858   0.83124516  -2.65860719  -0.48116323   1.46616585
## 648  -2.25998858   0.83124516  -2.65860719  -0.48116323   1.46616585
## 649  -0.01111234  -2.85157531  -3.52709659  -4.34886687   2.76951052
## 650  -0.01111234  -2.85157531  -3.52709659  -4.34886687   2.76951052
## 651  -0.01111234  -2.85157531  -3.52709659  -4.34886687   2.76951052
## 652  -0.01111234  -2.85157531  -3.52709659  -4.34886687   2.76951052
## 653  -0.01111234  -2.85157531  -3.52709659  -4.34886687   2.76951052
## 654  -0.01111234  -2.85157531  -3.52709659  -4.34886687   2.76951052
## 655  -0.01111234  -2.85157531  -3.52709659  -4.34886687   2.76951052
## 656  -0.01111234  -2.85157531  -3.52709659  -4.34886687   2.76951052
## 657  -1.63150217   1.92078588   1.24511977   4.52516342  -2.17073020
## 658  -1.63150217   1.92078588   1.24511977   4.52516342  -2.17073020
## 659  -1.63150217   1.92078588   1.24511977   4.52516342  -2.17073020
## 660  -1.63150217   1.92078588   1.24511977   4.52516342  -2.17073020
## 661  -1.63150217   1.92078588   1.24511977   4.52516342  -2.17073020
## 662  -1.63150217   1.92078588   1.24511977   4.52516342  -2.17073020
## 663  -1.63150217   1.92078588   1.24511977   4.52516342  -2.17073020
## 664  -1.63150217   1.92078588   1.24511977   4.52516342  -2.17073020
## 665  -0.09752376   0.53530031  -2.10937988  -0.08755018  -0.54724080
## 666  -0.09752376   0.53530031  -2.10937988  -0.08755018  -0.54724080
## 667  -0.09752376   0.53530031  -2.10937988  -0.08755018  -0.54724080
## 668  -0.09752376   0.53530031  -2.10937988  -0.08755018  -0.54724080
## 669  -0.09752376   0.53530031  -2.10937988  -0.08755018  -0.54724080
## 670  -0.09752376   0.53530031  -2.10937988  -0.08755018  -0.54724080
## 671  -0.09752376   0.53530031  -2.10937988  -0.08755018  -0.54724080
## 672  -0.09752376   0.53530031  -2.10937988  -0.08755018  -0.54724080
## 673  56.82774098  61.76762811  10.01932672  16.06602433 -32.53446353
## 674  56.82774098  61.76762811  10.01932672  16.06602433 -32.53446353
## 675  56.82774098  61.76762811  10.01932672  16.06602433 -32.53446353
## 676  56.82774098  61.76762811  10.01932672  16.06602433 -32.53446353
## 677  56.82774098  61.76762811  10.01932672  16.06602433 -32.53446353
## 678  56.82774098  61.76762811  10.01932672  16.06602433 -32.53446353
## 679  56.82774098  61.76762811  10.01932672  16.06602433 -32.53446353
## 680  56.82774098  61.76762811  10.01932672  16.06602433 -32.53446353
## 681  -3.92262517  -0.29542309   3.57195220  -0.24758932  -3.44093261
## 682  -3.92262517  -0.29542309   3.57195220  -0.24758932  -3.44093261
## 683  -3.92262517  -0.29542309   3.57195220  -0.24758932  -3.44093261
## 684  -3.92262517  -0.29542309   3.57195220  -0.24758932  -3.44093261
## 685  -3.92262517  -0.29542309   3.57195220  -0.24758932  -3.44093261
## 686  -3.92262517  -0.29542309   3.57195220  -0.24758932  -3.44093261
## 687  -3.92262517  -0.29542309   3.57195220  -0.24758932  -3.44093261
## 688  -3.92262517  -0.29542309   3.57195220  -0.24758932  -3.44093261
## 689 -39.53211910  -0.95410771 -15.64289252  -8.75328556 -16.62933402
## 690 -39.53211910  -0.95410771 -15.64289252  -8.75328556 -16.62933402
## 691 -39.53211910  -0.95410771 -15.64289252  -8.75328556 -16.62933402
## 692 -39.53211910  -0.95410771 -15.64289252  -8.75328556 -16.62933402
## 693 -39.53211910  -0.95410771 -15.64289252  -8.75328556 -16.62933402
## 694 -39.53211910  -0.95410771 -15.64289252  -8.75328556 -16.62933402
## 695 -39.53211910  -0.95410771 -15.64289252  -8.75328556 -16.62933402
## 696 -39.53211910  -0.95410771 -15.64289252  -8.75328556 -16.62933402
## 697  -0.89677411  -5.75627809   0.92354404  -0.10065503  -0.46444636
## 698  -0.89677411  -5.75627809   0.92354404  -0.10065503  -0.46444636
## 699  -0.89677411  -5.75627809   0.92354404  -0.10065503  -0.46444636
## 700  -0.89677411  -5.75627809   0.92354404  -0.10065503  -0.46444636
## 701  -0.89677411  -5.75627809   0.92354404  -0.10065503  -0.46444636
## 702  -0.89677411  -5.75627809   0.92354404  -0.10065503  -0.46444636
## 703  -0.89677411  -5.75627809   0.92354404  -0.10065503  -0.46444636
## 704  -0.89677411  -5.75627809   0.92354404  -0.10065503  -0.46444636
## 705  12.67445747  -5.48591798  -2.49599499 -10.88493144  26.92160781
## 706  12.67445747  -5.48591798  -2.49599499 -10.88493144  26.92160781
## 707  12.67445747  -5.48591798  -2.49599499 -10.88493144  26.92160781
## 708  12.67445747  -5.48591798  -2.49599499 -10.88493144  26.92160781
## 709  12.67445747  -5.48591798  -2.49599499 -10.88493144  26.92160781
## 710  12.67445747  -5.48591798  -2.49599499 -10.88493144  26.92160781
## 711  12.67445747  -5.48591798  -2.49599499 -10.88493144  26.92160781
## 712  12.67445747  -5.48591798  -2.49599499 -10.88493144  26.92160781
## 713  -2.39826226 -11.08759875  -2.81127045  -8.98442691  -9.97148385
## 714  -2.39826226 -11.08759875  -2.81127045  -8.98442691  -9.97148385
## 715  -2.39826226 -11.08759875  -2.81127045  -8.98442691  -9.97148385
## 716  -2.39826226 -11.08759875  -2.81127045  -8.98442691  -9.97148385
## 717  -2.39826226 -11.08759875  -2.81127045  -8.98442691  -9.97148385
## 718  -2.39826226 -11.08759875  -2.81127045  -8.98442691  -9.97148385
## 719  -2.39826226 -11.08759875  -2.81127045  -8.98442691  -9.97148385
## 720  -2.39826226 -11.08759875  -2.81127045  -8.98442691  -9.97148385
## 721 -13.95873187 -10.54943684   2.72182979  -0.78216732  -4.66285404
## 722 -13.95873187 -10.54943684   2.72182979  -0.78216732  -4.66285404
## 723 -13.95873187 -10.54943684   2.72182979  -0.78216732  -4.66285404
## 724 -13.95873187 -10.54943684   2.72182979  -0.78216732  -4.66285404
## 725 -13.95873187 -10.54943684   2.72182979  -0.78216732  -4.66285404
## 726 -13.95873187 -10.54943684   2.72182979  -0.78216732  -4.66285404
## 727 -13.95873187 -10.54943684   2.72182979  -0.78216732  -4.66285404
## 728 -13.95873187 -10.54943684   2.72182979  -0.78216732  -4.66285404
## 729   2.59406803  -0.27452080  -2.13013151   2.22245543  -0.66248763
## 730   2.59406803  -0.27452080  -2.13013151   2.22245543  -0.66248763
## 731   2.59406803  -0.27452080  -2.13013151   2.22245543  -0.66248763
## 732   2.59406803  -0.27452080  -2.13013151   2.22245543  -0.66248763
## 733   2.59406803  -0.27452080  -2.13013151   2.22245543  -0.66248763
## 734   2.59406803  -0.27452080  -2.13013151   2.22245543  -0.66248763
## 735   2.59406803  -0.27452080  -2.13013151   2.22245543  -0.66248763
## 736   2.59406803  -0.27452080  -2.13013151   2.22245543  -0.66248763
## 737  11.27258511 -15.06220551  10.56020140   1.25171505  -8.36755877
## 738  11.27258511 -15.06220551  10.56020140   1.25171505  -8.36755877
## 739  11.27258511 -15.06220551  10.56020140   1.25171505  -8.36755877
## 740  11.27258511 -15.06220551  10.56020140   1.25171505  -8.36755877
## 741  11.27258511 -15.06220551  10.56020140   1.25171505  -8.36755877
## 742  11.27258511 -15.06220551  10.56020140   1.25171505  -8.36755877
## 743  11.27258511 -15.06220551  10.56020140   1.25171505  -8.36755877
## 744  11.27258511 -15.06220551  10.56020140   1.25171505  -8.36755877
## 745  -4.75479986  -6.34991124  -6.44882379  -2.93653013  -0.05586448
## 746  -4.75479986  -6.34991124  -6.44882379  -2.93653013  -0.05586448
## 747  -4.75479986  -6.34991124  -6.44882379  -2.93653013  -0.05586448
## 748  -4.75479986  -6.34991124  -6.44882379  -2.93653013  -0.05586448
## 749  -4.75479986  -6.34991124  -6.44882379  -2.93653013  -0.05586448
## 750  -4.75479986  -6.34991124  -6.44882379  -2.93653013  -0.05586448
## 751  -4.75479986  -6.34991124  -6.44882379  -2.93653013  -0.05586448
## 752  -4.75479986  -6.34991124  -6.44882379  -2.93653013  -0.05586448
## 753  -2.55675541   1.72460699  -0.18432946   0.65222496   6.16307718
## 754  -2.55675541   1.72460699  -0.18432946   0.65222496   6.16307718
## 755  -2.55675541   1.72460699  -0.18432946   0.65222496   6.16307718
## 756  -2.55675541   1.72460699  -0.18432946   0.65222496   6.16307718
## 757  -2.55675541   1.72460699  -0.18432946   0.65222496   6.16307718
## 758  -2.55675541   1.72460699  -0.18432946   0.65222496   6.16307718
## 759  -2.55675541   1.72460699  -0.18432946   0.65222496   6.16307718
## 760  -2.55675541   1.72460699  -0.18432946   0.65222496   6.16307718
## 761  -6.20212693   0.69202862   2.59726696   5.93407237  -0.09188970
## 762  -6.20212693   0.69202862   2.59726696   5.93407237  -0.09188970
## 763  -6.20212693   0.69202862   2.59726696   5.93407237  -0.09188970
## 764  -6.20212693   0.69202862   2.59726696   5.93407237  -0.09188970
## 765  -6.20212693   0.69202862   2.59726696   5.93407237  -0.09188970
## 766  -6.20212693   0.69202862   2.59726696   5.93407237  -0.09188970
## 767  -6.20212693   0.69202862   2.59726696   5.93407237  -0.09188970
## 768  -6.20212693   0.69202862   2.59726696   5.93407237  -0.09188970
## 769   2.32367472 -14.36689895 -10.18959740  -8.52804959 -13.04712203
## 770   2.32367472 -14.36689895 -10.18959740  -8.52804959 -13.04712203
## 771   2.32367472 -14.36689895 -10.18959740  -8.52804959 -13.04712203
## 772   2.32367472 -14.36689895 -10.18959740  -8.52804959 -13.04712203
## 773   2.32367472 -14.36689895 -10.18959740  -8.52804959 -13.04712203
## 774   2.32367472 -14.36689895 -10.18959740  -8.52804959 -13.04712203
## 775   2.32367472 -14.36689895 -10.18959740  -8.52804959 -13.04712203
## 776   2.32367472 -14.36689895 -10.18959740  -8.52804959 -13.04712203
## 777  -3.76877844   1.52195684   7.15260222  -4.69672319  -1.83175159
## 778  -3.76877844   1.52195684   7.15260222  -4.69672319  -1.83175159
## 779  -3.76877844   1.52195684   7.15260222  -4.69672319  -1.83175159
## 780  -3.76877844   1.52195684   7.15260222  -4.69672319  -1.83175159
## 781  -3.76877844   1.52195684   7.15260222  -4.69672319  -1.83175159
## 782  -3.76877844   1.52195684   7.15260222  -4.69672319  -1.83175159
## 783  -3.76877844   1.52195684   7.15260222  -4.69672319  -1.83175159
## 784  -3.76877844   1.52195684   7.15260222  -4.69672319  -1.83175159
## 785   0.65405746  -0.77346724  -0.67867407  -1.03808588  -1.57319391
## 786   0.65405746  -0.77346724  -0.67867407  -1.03808588  -1.57319391
## 787   0.65405746  -0.77346724  -0.67867407  -1.03808588  -1.57319391
## 788   0.65405746  -0.77346724  -0.67867407  -1.03808588  -1.57319391
## 789   0.65405746  -0.77346724  -0.67867407  -1.03808588  -1.57319391
## 790   0.65405746  -0.77346724  -0.67867407  -1.03808588  -1.57319391
## 791   0.65405746  -0.77346724  -0.67867407  -1.03808588  -1.57319391
## 792   0.65405746  -0.77346724  -0.67867407  -1.03808588  -1.57319391
## 793   2.38913689   2.12959553   1.42344025  -2.80333765   0.06291525
## 794   2.38913689   2.12959553   1.42344025  -2.80333765   0.06291525
## 795   2.38913689   2.12959553   1.42344025  -2.80333765   0.06291525
## 796   2.38913689   2.12959553   1.42344025  -2.80333765   0.06291525
## 797   2.38913689   2.12959553   1.42344025  -2.80333765   0.06291525
## 798   2.38913689   2.12959553   1.42344025  -2.80333765   0.06291525
## 799   2.38913689   2.12959553   1.42344025  -2.80333765   0.06291525
##       PC107_score   PC108_score  PC109_score  PC110_score  PC111_score
## 1     8.163190997   2.131308826   3.40436312   1.88416273   3.04032503
## 2     8.163190997   2.131308826   3.40436312   1.88416273   3.04032503
## 3     8.163190997   2.131308826   3.40436312   1.88416273   3.04032503
## 4     8.163190997   2.131308826   3.40436312   1.88416273   3.04032503
## 5     8.163190997   2.131308826   3.40436312   1.88416273   3.04032503
## 6     8.163190997   2.131308826   3.40436312   1.88416273   3.04032503
## 7     8.163190997   2.131308826   3.40436312   1.88416273   3.04032503
## 8     8.163190997   2.131308826   3.40436312   1.88416273   3.04032503
## 9   -78.817865473  34.626338035  -9.96966211 -15.44237999   5.53848786
## 10  -78.817865473  34.626338035  -9.96966211 -15.44237999   5.53848786
## 11  -78.817865473  34.626338035  -9.96966211 -15.44237999   5.53848786
## 12  -78.817865473  34.626338035  -9.96966211 -15.44237999   5.53848786
## 13  -78.817865473  34.626338035  -9.96966211 -15.44237999   5.53848786
## 14  -78.817865473  34.626338035  -9.96966211 -15.44237999   5.53848786
## 15  -78.817865473  34.626338035  -9.96966211 -15.44237999   5.53848786
## 16  -78.817865473  34.626338035  -9.96966211 -15.44237999   5.53848786
## 17   -0.093567495  -1.547839883   0.81616003   1.38485171  -0.68128599
## 18   -0.093567495  -1.547839883   0.81616003   1.38485171  -0.68128599
## 19   -0.093567495  -1.547839883   0.81616003   1.38485171  -0.68128599
## 20   -0.093567495  -1.547839883   0.81616003   1.38485171  -0.68128599
## 21   -0.093567495  -1.547839883   0.81616003   1.38485171  -0.68128599
## 22   -0.093567495  -1.547839883   0.81616003   1.38485171  -0.68128599
## 23   -0.093567495  -1.547839883   0.81616003   1.38485171  -0.68128599
## 24   -0.093567495  -1.547839883   0.81616003   1.38485171  -0.68128599
## 25    3.659587124  -3.545955044   2.26479559   1.14058560  -0.34237872
## 26    3.659587124  -3.545955044   2.26479559   1.14058560  -0.34237872
## 27    3.659587124  -3.545955044   2.26479559   1.14058560  -0.34237872
## 28    3.659587124  -3.545955044   2.26479559   1.14058560  -0.34237872
## 29    3.659587124  -3.545955044   2.26479559   1.14058560  -0.34237872
## 30    3.659587124  -3.545955044   2.26479559   1.14058560  -0.34237872
## 31    3.659587124  -3.545955044   2.26479559   1.14058560  -0.34237872
## 32    3.659587124  -3.545955044   2.26479559   1.14058560  -0.34237872
## 33    2.071444566  -4.411746480  -2.46181427   2.24783899  -0.67849744
## 34    2.071444566  -4.411746480  -2.46181427   2.24783899  -0.67849744
## 35    2.071444566  -4.411746480  -2.46181427   2.24783899  -0.67849744
## 36    2.071444566  -4.411746480  -2.46181427   2.24783899  -0.67849744
## 37    2.071444566  -4.411746480  -2.46181427   2.24783899  -0.67849744
## 38    2.071444566  -4.411746480  -2.46181427   2.24783899  -0.67849744
## 39    2.071444566  -4.411746480  -2.46181427   2.24783899  -0.67849744
## 40    2.071444566  -4.411746480  -2.46181427   2.24783899  -0.67849744
## 41    2.200675715  -9.376640750  -2.32478321  -7.47973534  -0.07470161
## 42    2.200675715  -9.376640750  -2.32478321  -7.47973534  -0.07470161
## 43    2.200675715  -9.376640750  -2.32478321  -7.47973534  -0.07470161
## 44    2.200675715  -9.376640750  -2.32478321  -7.47973534  -0.07470161
## 45    2.200675715  -9.376640750  -2.32478321  -7.47973534  -0.07470161
## 46    2.200675715  -9.376640750  -2.32478321  -7.47973534  -0.07470161
## 47    2.200675715  -9.376640750  -2.32478321  -7.47973534  -0.07470161
## 48    2.200675715  -9.376640750  -2.32478321  -7.47973534  -0.07470161
## 49   -1.704258608  -0.227186521  -0.14064506  -2.48304843   1.11438907
## 50   -1.704258608  -0.227186521  -0.14064506  -2.48304843   1.11438907
## 51   -1.704258608  -0.227186521  -0.14064506  -2.48304843   1.11438907
## 52   -1.704258608  -0.227186521  -0.14064506  -2.48304843   1.11438907
## 53   -1.704258608  -0.227186521  -0.14064506  -2.48304843   1.11438907
## 54   -1.704258608  -0.227186521  -0.14064506  -2.48304843   1.11438907
## 55   -1.704258608  -0.227186521  -0.14064506  -2.48304843   1.11438907
## 56   -1.704258608  -0.227186521  -0.14064506  -2.48304843   1.11438907
## 57   -1.199501331  -1.637997026   0.58844317  -1.01014653   3.15991575
## 58   -1.199501331  -1.637997026   0.58844317  -1.01014653   3.15991575
## 59   -1.199501331  -1.637997026   0.58844317  -1.01014653   3.15991575
## 60   -1.199501331  -1.637997026   0.58844317  -1.01014653   3.15991575
## 61   -1.199501331  -1.637997026   0.58844317  -1.01014653   3.15991575
## 62   -1.199501331  -1.637997026   0.58844317  -1.01014653   3.15991575
## 63   -1.199501331  -1.637997026   0.58844317  -1.01014653   3.15991575
## 64   -1.199501331  -1.637997026   0.58844317  -1.01014653   3.15991575
## 65    3.879710528  -2.377111945  -1.55362521   3.45106635   3.42011187
## 66    3.879710528  -2.377111945  -1.55362521   3.45106635   3.42011187
## 67    3.879710528  -2.377111945  -1.55362521   3.45106635   3.42011187
## 68    3.879710528  -2.377111945  -1.55362521   3.45106635   3.42011187
## 69    3.879710528  -2.377111945  -1.55362521   3.45106635   3.42011187
## 70    3.879710528  -2.377111945  -1.55362521   3.45106635   3.42011187
## 71    3.879710528  -2.377111945  -1.55362521   3.45106635   3.42011187
## 72    3.879710528  -2.377111945  -1.55362521   3.45106635   3.42011187
## 73    3.123052214  -1.616574265   3.54278880   1.28001782  -0.90243865
## 74    3.123052214  -1.616574265   3.54278880   1.28001782  -0.90243865
## 75    3.123052214  -1.616574265   3.54278880   1.28001782  -0.90243865
## 76    3.123052214  -1.616574265   3.54278880   1.28001782  -0.90243865
## 77    3.123052214  -1.616574265   3.54278880   1.28001782  -0.90243865
## 78    3.123052214  -1.616574265   3.54278880   1.28001782  -0.90243865
## 79    3.123052214  -1.616574265   3.54278880   1.28001782  -0.90243865
## 80    3.123052214  -1.616574265   3.54278880   1.28001782  -0.90243865
## 81   -1.402889895  -1.383006662  -1.23593133  -4.05811638  -1.70033318
## 82   -1.402889895  -1.383006662  -1.23593133  -4.05811638  -1.70033318
## 83   -1.402889895  -1.383006662  -1.23593133  -4.05811638  -1.70033318
## 84   -1.402889895  -1.383006662  -1.23593133  -4.05811638  -1.70033318
## 85   -1.402889895  -1.383006662  -1.23593133  -4.05811638  -1.70033318
## 86   -1.402889895  -1.383006662  -1.23593133  -4.05811638  -1.70033318
## 87   -1.402889895  -1.383006662  -1.23593133  -4.05811638  -1.70033318
## 88   -1.402889895  -1.383006662  -1.23593133  -4.05811638  -1.70033318
## 89    0.978642362   0.502346217  -0.97131547  -0.75855319   0.74292435
## 90    0.978642362   0.502346217  -0.97131547  -0.75855319   0.74292435
## 91    0.978642362   0.502346217  -0.97131547  -0.75855319   0.74292435
## 92    0.978642362   0.502346217  -0.97131547  -0.75855319   0.74292435
## 93    0.978642362   0.502346217  -0.97131547  -0.75855319   0.74292435
## 94    0.978642362   0.502346217  -0.97131547  -0.75855319   0.74292435
## 95    0.978642362   0.502346217  -0.97131547  -0.75855319   0.74292435
## 96    0.978642362   0.502346217  -0.97131547  -0.75855319   0.74292435
## 97   -1.999384380   2.193888753   1.71981183  -1.09855164   5.23909454
## 98   -1.999384380   2.193888753   1.71981183  -1.09855164   5.23909454
## 99   -1.999384380   2.193888753   1.71981183  -1.09855164   5.23909454
## 100  -1.999384380   2.193888753   1.71981183  -1.09855164   5.23909454
## 101  -1.999384380   2.193888753   1.71981183  -1.09855164   5.23909454
## 102  -1.999384380   2.193888753   1.71981183  -1.09855164   5.23909454
## 103  -1.999384380   2.193888753   1.71981183  -1.09855164   5.23909454
## 104  -1.999384380   2.193888753   1.71981183  -1.09855164   5.23909454
## 105  -0.650459249  -7.488049936 -11.40013136  -0.05781842  -3.39688090
## 106  -0.650459249  -7.488049936 -11.40013136  -0.05781842  -3.39688090
## 107  -0.650459249  -7.488049936 -11.40013136  -0.05781842  -3.39688090
## 108  -0.650459249  -7.488049936 -11.40013136  -0.05781842  -3.39688090
## 109  -0.650459249  -7.488049936 -11.40013136  -0.05781842  -3.39688090
## 110  -0.650459249  -7.488049936 -11.40013136  -0.05781842  -3.39688090
## 111  -0.650459249  -7.488049936 -11.40013136  -0.05781842  -3.39688090
## 112  -0.650459249  -7.488049936 -11.40013136  -0.05781842  -3.39688090
## 113   5.067100702  -0.841883023   1.56606099  -0.67945740   0.39892278
## 114   5.067100702  -0.841883023   1.56606099  -0.67945740   0.39892278
## 115   5.067100702  -0.841883023   1.56606099  -0.67945740   0.39892278
## 116   5.067100702  -0.841883023   1.56606099  -0.67945740   0.39892278
## 117   5.067100702  -0.841883023   1.56606099  -0.67945740   0.39892278
## 118   5.067100702  -0.841883023   1.56606099  -0.67945740   0.39892278
## 119   5.067100702  -0.841883023   1.56606099  -0.67945740   0.39892278
## 120   5.067100702  -0.841883023   1.56606099  -0.67945740   0.39892278
## 121   6.763513544  -1.068503531   1.01154150  -1.23178119   3.59099313
## 122   6.763513544  -1.068503531   1.01154150  -1.23178119   3.59099313
## 123   6.763513544  -1.068503531   1.01154150  -1.23178119   3.59099313
## 124   6.763513544  -1.068503531   1.01154150  -1.23178119   3.59099313
## 125   6.763513544  -1.068503531   1.01154150  -1.23178119   3.59099313
## 126   6.763513544  -1.068503531   1.01154150  -1.23178119   3.59099313
## 127   6.763513544  -1.068503531   1.01154150  -1.23178119   3.59099313
## 128   6.763513544  -1.068503531   1.01154150  -1.23178119   3.59099313
## 129  -4.296570392  -2.192241645   0.91055926  -5.38946644   0.08381220
## 130  -4.296570392  -2.192241645   0.91055926  -5.38946644   0.08381220
## 131  -4.296570392  -2.192241645   0.91055926  -5.38946644   0.08381220
## 132  -4.296570392  -2.192241645   0.91055926  -5.38946644   0.08381220
## 133  -4.296570392  -2.192241645   0.91055926  -5.38946644   0.08381220
## 134  -4.296570392  -2.192241645   0.91055926  -5.38946644   0.08381220
## 135  -4.296570392  -2.192241645   0.91055926  -5.38946644   0.08381220
## 136  -4.296570392  -2.192241645   0.91055926  -5.38946644   0.08381220
## 137  -0.976709721  -0.469129583   1.72278448   0.81803463  -0.23657304
## 138  -0.976709721  -0.469129583   1.72278448   0.81803463  -0.23657304
## 139  -0.976709721  -0.469129583   1.72278448   0.81803463  -0.23657304
## 140  -0.976709721  -0.469129583   1.72278448   0.81803463  -0.23657304
## 141  -0.976709721  -0.469129583   1.72278448   0.81803463  -0.23657304
## 142  -0.976709721  -0.469129583   1.72278448   0.81803463  -0.23657304
## 143  -0.976709721  -0.469129583   1.72278448   0.81803463  -0.23657304
## 144  -0.976709721  -0.469129583   1.72278448   0.81803463  -0.23657304
## 145  -0.869181856   2.987754289  -5.73721401  -0.10130472  -0.19510082
## 146  -0.869181856   2.987754289  -5.73721401  -0.10130472  -0.19510082
## 147  -0.869181856   2.987754289  -5.73721401  -0.10130472  -0.19510082
## 148  -0.869181856   2.987754289  -5.73721401  -0.10130472  -0.19510082
## 149  -0.869181856   2.987754289  -5.73721401  -0.10130472  -0.19510082
## 150  -0.869181856   2.987754289  -5.73721401  -0.10130472  -0.19510082
## 151  -0.869181856   2.987754289  -5.73721401  -0.10130472  -0.19510082
## 152  -0.869181856   2.987754289  -5.73721401  -0.10130472  -0.19510082
## 153  -0.150568367  -0.611842170   2.01424022   1.40021154   0.26808114
## 154  -0.150568367  -0.611842170   2.01424022   1.40021154   0.26808114
## 155  -0.150568367  -0.611842170   2.01424022   1.40021154   0.26808114
## 156  -0.150568367  -0.611842170   2.01424022   1.40021154   0.26808114
## 157  -0.150568367  -0.611842170   2.01424022   1.40021154   0.26808114
## 158  -0.150568367  -0.611842170   2.01424022   1.40021154   0.26808114
## 159  -0.150568367  -0.611842170   2.01424022   1.40021154   0.26808114
## 160  -0.150568367  -0.611842170   2.01424022   1.40021154   0.26808114
## 161   2.443539100   0.238126654  -0.77505784   4.59992675  -2.82091000
## 162   2.443539100   0.238126654  -0.77505784   4.59992675  -2.82091000
## 163   2.443539100   0.238126654  -0.77505784   4.59992675  -2.82091000
## 164   2.443539100   0.238126654  -0.77505784   4.59992675  -2.82091000
## 165   2.443539100   0.238126654  -0.77505784   4.59992675  -2.82091000
## 166   2.443539100   0.238126654  -0.77505784   4.59992675  -2.82091000
## 167   2.443539100   0.238126654  -0.77505784   4.59992675  -2.82091000
## 168   2.443539100   0.238126654  -0.77505784   4.59992675  -2.82091000
## 169  -1.044211578 -10.825467617  19.27910228  -9.51650302 -32.82983974
## 170  -1.044211578 -10.825467617  19.27910228  -9.51650302 -32.82983974
## 171  -1.044211578 -10.825467617  19.27910228  -9.51650302 -32.82983974
## 172  -1.044211578 -10.825467617  19.27910228  -9.51650302 -32.82983974
## 173  -1.044211578 -10.825467617  19.27910228  -9.51650302 -32.82983974
## 174  -1.044211578 -10.825467617  19.27910228  -9.51650302 -32.82983974
## 175  -1.044211578 -10.825467617  19.27910228  -9.51650302 -32.82983974
## 176  -1.044211578 -10.825467617  19.27910228  -9.51650302 -32.82983974
## 177 -28.868709528 -10.201096811  -5.09112784  -8.91634147  -0.61796018
## 178 -28.868709528 -10.201096811  -5.09112784  -8.91634147  -0.61796018
## 179 -28.868709528 -10.201096811  -5.09112784  -8.91634147  -0.61796018
## 180 -28.868709528 -10.201096811  -5.09112784  -8.91634147  -0.61796018
## 181 -28.868709528 -10.201096811  -5.09112784  -8.91634147  -0.61796018
## 182 -28.868709528 -10.201096811  -5.09112784  -8.91634147  -0.61796018
## 183 -28.868709528 -10.201096811  -5.09112784  -8.91634147  -0.61796018
## 184 -28.868709528 -10.201096811  -5.09112784  -8.91634147  -0.61796018
## 185  -0.753698512   0.707908870   1.00487278  -0.08933689   0.28329110
## 186  -0.753698512   0.707908870   1.00487278  -0.08933689   0.28329110
## 187  -0.753698512   0.707908870   1.00487278  -0.08933689   0.28329110
## 188  -0.753698512   0.707908870   1.00487278  -0.08933689   0.28329110
## 189  -0.753698512   0.707908870   1.00487278  -0.08933689   0.28329110
## 190  -0.753698512   0.707908870   1.00487278  -0.08933689   0.28329110
## 191  -0.753698512   0.707908870   1.00487278  -0.08933689   0.28329110
## 192  -0.753698512   0.707908870   1.00487278  -0.08933689   0.28329110
## 193   7.000967997  -4.938581964  -2.66907384   1.84898134   5.66941224
## 194   7.000967997  -4.938581964  -2.66907384   1.84898134   5.66941224
## 195   7.000967997  -4.938581964  -2.66907384   1.84898134   5.66941224
## 196   7.000967997  -4.938581964  -2.66907384   1.84898134   5.66941224
## 197   7.000967997  -4.938581964  -2.66907384   1.84898134   5.66941224
## 198   7.000967997  -4.938581964  -2.66907384   1.84898134   5.66941224
## 199   7.000967997  -4.938581964  -2.66907384   1.84898134   5.66941224
## 200   7.000967997  -4.938581964  -2.66907384   1.84898134   5.66941224
## 201   1.012557297  -0.279265812   0.62335420   0.92294358  -1.33871842
## 202   1.012557297  -0.279265812   0.62335420   0.92294358  -1.33871842
## 203   1.012557297  -0.279265812   0.62335420   0.92294358  -1.33871842
## 204   1.012557297  -0.279265812   0.62335420   0.92294358  -1.33871842
## 205   1.012557297  -0.279265812   0.62335420   0.92294358  -1.33871842
## 206   1.012557297  -0.279265812   0.62335420   0.92294358  -1.33871842
## 207   1.012557297  -0.279265812   0.62335420   0.92294358  -1.33871842
## 208   1.012557297  -0.279265812   0.62335420   0.92294358  -1.33871842
## 209   0.217578785  -0.295918449  -0.81129814   1.53513974   0.86086854
## 210   0.217578785  -0.295918449  -0.81129814   1.53513974   0.86086854
## 211   0.217578785  -0.295918449  -0.81129814   1.53513974   0.86086854
## 212   0.217578785  -0.295918449  -0.81129814   1.53513974   0.86086854
## 213   0.217578785  -0.295918449  -0.81129814   1.53513974   0.86086854
## 214   0.217578785  -0.295918449  -0.81129814   1.53513974   0.86086854
## 215   0.217578785  -0.295918449  -0.81129814   1.53513974   0.86086854
## 216   0.217578785  -0.295918449  -0.81129814   1.53513974   0.86086854
## 217   1.194642337  -0.367407473   0.22051917  -0.50111677   0.23681208
## 218   1.194642337  -0.367407473   0.22051917  -0.50111677   0.23681208
## 219   1.194642337  -0.367407473   0.22051917  -0.50111677   0.23681208
## 220   1.194642337  -0.367407473   0.22051917  -0.50111677   0.23681208
## 221   1.194642337  -0.367407473   0.22051917  -0.50111677   0.23681208
## 222   1.194642337  -0.367407473   0.22051917  -0.50111677   0.23681208
## 223   1.194642337  -0.367407473   0.22051917  -0.50111677   0.23681208
## 224   1.194642337  -0.367407473   0.22051917  -0.50111677   0.23681208
## 225   7.349524618  65.335914258 -35.60808625  73.75719646   5.61201134
## 226   7.349524618  65.335914258 -35.60808625  73.75719646   5.61201134
## 227   7.349524618  65.335914258 -35.60808625  73.75719646   5.61201134
## 228   7.349524618  65.335914258 -35.60808625  73.75719646   5.61201134
## 229   7.349524618  65.335914258 -35.60808625  73.75719646   5.61201134
## 230   7.349524618  65.335914258 -35.60808625  73.75719646   5.61201134
## 231   7.349524618  65.335914258 -35.60808625  73.75719646   5.61201134
## 232   7.349524618  65.335914258 -35.60808625  73.75719646   5.61201134
## 233   1.130878461  -0.613253357   0.35596999   1.98641664   1.24676687
## 234   1.130878461  -0.613253357   0.35596999   1.98641664   1.24676687
## 235   1.130878461  -0.613253357   0.35596999   1.98641664   1.24676687
## 236   1.130878461  -0.613253357   0.35596999   1.98641664   1.24676687
## 237   1.130878461  -0.613253357   0.35596999   1.98641664   1.24676687
## 238   1.130878461  -0.613253357   0.35596999   1.98641664   1.24676687
## 239   1.130878461  -0.613253357   0.35596999   1.98641664   1.24676687
## 240   1.130878461  -0.613253357   0.35596999   1.98641664   1.24676687
## 241   1.531560664   0.642100151  -1.73410648  -2.57947399  -1.71404180
## 242   1.531560664   0.642100151  -1.73410648  -2.57947399  -1.71404180
## 243   1.531560664   0.642100151  -1.73410648  -2.57947399  -1.71404180
## 244   1.531560664   0.642100151  -1.73410648  -2.57947399  -1.71404180
## 245   1.531560664   0.642100151  -1.73410648  -2.57947399  -1.71404180
## 246   1.531560664   0.642100151  -1.73410648  -2.57947399  -1.71404180
## 247   1.531560664   0.642100151  -1.73410648  -2.57947399  -1.71404180
## 248   1.531560664   0.642100151  -1.73410648  -2.57947399  -1.71404180
## 249  -4.825689858  -6.353595226   0.11476613   0.35055320   1.17929119
## 250  -4.825689858  -6.353595226   0.11476613   0.35055320   1.17929119
## 251  -4.825689858  -6.353595226   0.11476613   0.35055320   1.17929119
## 252  -4.825689858  -6.353595226   0.11476613   0.35055320   1.17929119
## 253  -4.825689858  -6.353595226   0.11476613   0.35055320   1.17929119
## 254  -4.825689858  -6.353595226   0.11476613   0.35055320   1.17929119
## 255  -4.825689858  -6.353595226   0.11476613   0.35055320   1.17929119
## 256  -4.825689858  -6.353595226   0.11476613   0.35055320   1.17929119
## 257  17.099609645   1.686919690   5.77525874   0.55068851   3.12071556
## 258  17.099609645   1.686919690   5.77525874   0.55068851   3.12071556
## 259  17.099609645   1.686919690   5.77525874   0.55068851   3.12071556
## 260  17.099609645   1.686919690   5.77525874   0.55068851   3.12071556
## 261  17.099609645   1.686919690   5.77525874   0.55068851   3.12071556
## 262  17.099609645   1.686919690   5.77525874   0.55068851   3.12071556
## 263  17.099609645   1.686919690   5.77525874   0.55068851   3.12071556
## 264  17.099609645   1.686919690   5.77525874   0.55068851   3.12071556
## 265   0.726547111  -4.610237248   3.27453682  -1.37009266  -1.83698842
## 266   0.726547111  -4.610237248   3.27453682  -1.37009266  -1.83698842
## 267   0.726547111  -4.610237248   3.27453682  -1.37009266  -1.83698842
## 268   0.726547111  -4.610237248   3.27453682  -1.37009266  -1.83698842
## 269   0.726547111  -4.610237248   3.27453682  -1.37009266  -1.83698842
## 270   0.726547111  -4.610237248   3.27453682  -1.37009266  -1.83698842
## 271   0.726547111  -4.610237248   3.27453682  -1.37009266  -1.83698842
## 272   0.726547111  -4.610237248   3.27453682  -1.37009266  -1.83698842
## 273  -1.618290862  -1.049031697   2.46367145  -4.39744443   0.90621476
## 274  -1.618290862  -1.049031697   2.46367145  -4.39744443   0.90621476
## 275  -1.618290862  -1.049031697   2.46367145  -4.39744443   0.90621476
## 276  -1.618290862  -1.049031697   2.46367145  -4.39744443   0.90621476
## 277  -1.618290862  -1.049031697   2.46367145  -4.39744443   0.90621476
## 278  -1.618290862  -1.049031697   2.46367145  -4.39744443   0.90621476
## 279  -1.618290862  -1.049031697   2.46367145  -4.39744443   0.90621476
## 280  -1.618290862  -1.049031697   2.46367145  -4.39744443   0.90621476
## 281   1.004810401   0.987788298  -1.52522888   0.36766583  -1.62477351
## 282   1.004810401   0.987788298  -1.52522888   0.36766583  -1.62477351
## 283   1.004810401   0.987788298  -1.52522888   0.36766583  -1.62477351
## 284   1.004810401   0.987788298  -1.52522888   0.36766583  -1.62477351
## 285   1.004810401   0.987788298  -1.52522888   0.36766583  -1.62477351
## 286   1.004810401   0.987788298  -1.52522888   0.36766583  -1.62477351
## 287   1.004810401   0.987788298  -1.52522888   0.36766583  -1.62477351
## 288   1.004810401   0.987788298  -1.52522888   0.36766583  -1.62477351
## 289   4.737802293   0.410474591 -10.23305792  -0.38122345   3.22626489
## 290   4.737802293   0.410474591 -10.23305792  -0.38122345   3.22626489
## 291   4.737802293   0.410474591 -10.23305792  -0.38122345   3.22626489
## 292   4.737802293   0.410474591 -10.23305792  -0.38122345   3.22626489
## 293   4.737802293   0.410474591 -10.23305792  -0.38122345   3.22626489
## 294   4.737802293   0.410474591 -10.23305792  -0.38122345   3.22626489
## 295   4.737802293   0.410474591 -10.23305792  -0.38122345   3.22626489
## 296   4.737802293   0.410474591 -10.23305792  -0.38122345   3.22626489
## 297   8.455787674  11.226409708  -3.15665790  -4.63746122  -4.66328569
## 298   8.455787674  11.226409708  -3.15665790  -4.63746122  -4.66328569
## 299   8.455787674  11.226409708  -3.15665790  -4.63746122  -4.66328569
## 300   8.455787674  11.226409708  -3.15665790  -4.63746122  -4.66328569
## 301   8.455787674  11.226409708  -3.15665790  -4.63746122  -4.66328569
## 302   8.455787674  11.226409708  -3.15665790  -4.63746122  -4.66328569
## 303   8.455787674  11.226409708  -3.15665790  -4.63746122  -4.66328569
## 304   8.455787674  11.226409708  -3.15665790  -4.63746122  -4.66328569
## 305  19.738136941  10.583707731  38.29500960 -37.45260046   0.20951377
## 306  19.738136941  10.583707731  38.29500960 -37.45260046   0.20951377
## 307  19.738136941  10.583707731  38.29500960 -37.45260046   0.20951377
## 308  19.738136941  10.583707731  38.29500960 -37.45260046   0.20951377
## 309  19.738136941  10.583707731  38.29500960 -37.45260046   0.20951377
## 310  19.738136941  10.583707731  38.29500960 -37.45260046   0.20951377
## 311  19.738136941  10.583707731  38.29500960 -37.45260046   0.20951377
## 312  19.738136941  10.583707731  38.29500960 -37.45260046   0.20951377
## 313  -3.312863934   2.429611945   0.88261996   0.40461229   1.58000747
## 314  -3.312863934   2.429611945   0.88261996   0.40461229   1.58000747
## 315  -3.312863934   2.429611945   0.88261996   0.40461229   1.58000747
## 316  -3.312863934   2.429611945   0.88261996   0.40461229   1.58000747
## 317  -3.312863934   2.429611945   0.88261996   0.40461229   1.58000747
## 318  -3.312863934   2.429611945   0.88261996   0.40461229   1.58000747
## 319  -3.312863934   2.429611945   0.88261996   0.40461229   1.58000747
## 320  -3.312863934   2.429611945   0.88261996   0.40461229   1.58000747
## 321   4.139573722  -2.535047972  -3.03209115  -0.26484422  -4.09563770
## 322   4.139573722  -2.535047972  -3.03209115  -0.26484422  -4.09563770
## 323   4.139573722  -2.535047972  -3.03209115  -0.26484422  -4.09563770
## 324   4.139573722  -2.535047972  -3.03209115  -0.26484422  -4.09563770
## 325   4.139573722  -2.535047972  -3.03209115  -0.26484422  -4.09563770
## 326   4.139573722  -2.535047972  -3.03209115  -0.26484422  -4.09563770
## 327   4.139573722  -2.535047972  -3.03209115  -0.26484422  -4.09563770
## 328   4.139573722  -2.535047972  -3.03209115  -0.26484422  -4.09563770
## 329   3.116931745   5.741161443  -0.43480737  -7.35860284   4.38235220
## 330   3.116931745   5.741161443  -0.43480737  -7.35860284   4.38235220
## 331   3.116931745   5.741161443  -0.43480737  -7.35860284   4.38235220
## 332   3.116931745   5.741161443  -0.43480737  -7.35860284   4.38235220
## 333   3.116931745   5.741161443  -0.43480737  -7.35860284   4.38235220
## 334   3.116931745   5.741161443  -0.43480737  -7.35860284   4.38235220
## 335   3.116931745   5.741161443  -0.43480737  -7.35860284   4.38235220
## 336   3.116931745   5.741161443  -0.43480737  -7.35860284   4.38235220
## 337   3.209011633  -1.760290112  -2.58300360  -0.36312234   0.04680508
## 338   3.209011633  -1.760290112  -2.58300360  -0.36312234   0.04680508
## 339   3.209011633  -1.760290112  -2.58300360  -0.36312234   0.04680508
## 340   3.209011633  -1.760290112  -2.58300360  -0.36312234   0.04680508
## 341   3.209011633  -1.760290112  -2.58300360  -0.36312234   0.04680508
## 342   3.209011633  -1.760290112  -2.58300360  -0.36312234   0.04680508
## 343   3.209011633  -1.760290112  -2.58300360  -0.36312234   0.04680508
## 344   3.209011633  -1.760290112  -2.58300360  -0.36312234   0.04680508
## 345   1.167747387  -0.925003156   1.22026710  -1.68326025   0.24396683
## 346   1.167747387  -0.925003156   1.22026710  -1.68326025   0.24396683
## 347   1.167747387  -0.925003156   1.22026710  -1.68326025   0.24396683
## 348   1.167747387  -0.925003156   1.22026710  -1.68326025   0.24396683
## 349   1.167747387  -0.925003156   1.22026710  -1.68326025   0.24396683
## 350   1.167747387  -0.925003156   1.22026710  -1.68326025   0.24396683
## 351   1.167747387  -0.925003156   1.22026710  -1.68326025   0.24396683
## 352   1.167747387  -0.925003156   1.22026710  -1.68326025   0.24396683
## 353   0.059289232  -4.998984978   1.57191356   2.67472829   3.36011529
## 354   0.059289232  -4.998984978   1.57191356   2.67472829   3.36011529
## 355   0.059289232  -4.998984978   1.57191356   2.67472829   3.36011529
## 356   0.059289232  -4.998984978   1.57191356   2.67472829   3.36011529
## 357   0.059289232  -4.998984978   1.57191356   2.67472829   3.36011529
## 358   0.059289232  -4.998984978   1.57191356   2.67472829   3.36011529
## 359   0.059289232  -4.998984978   1.57191356   2.67472829   3.36011529
## 360   0.059289232  -4.998984978   1.57191356   2.67472829   3.36011529
## 361  -1.586473121  -1.722735262  -2.61961716   0.91322701  -0.49690851
## 362  -1.586473121  -1.722735262  -2.61961716   0.91322701  -0.49690851
## 363  -1.586473121  -1.722735262  -2.61961716   0.91322701  -0.49690851
## 364  -1.586473121  -1.722735262  -2.61961716   0.91322701  -0.49690851
## 365  -1.586473121  -1.722735262  -2.61961716   0.91322701  -0.49690851
## 366  -1.586473121  -1.722735262  -2.61961716   0.91322701  -0.49690851
## 367  -1.586473121  -1.722735262  -2.61961716   0.91322701  -0.49690851
## 368  -1.586473121  -1.722735262  -2.61961716   0.91322701  -0.49690851
## 369   0.008914006   1.879517164  -5.73276303  -1.60577712  -2.60332306
## 370   0.008914006   1.879517164  -5.73276303  -1.60577712  -2.60332306
## 371   0.008914006   1.879517164  -5.73276303  -1.60577712  -2.60332306
## 372   0.008914006   1.879517164  -5.73276303  -1.60577712  -2.60332306
## 373   0.008914006   1.879517164  -5.73276303  -1.60577712  -2.60332306
## 374   0.008914006   1.879517164  -5.73276303  -1.60577712  -2.60332306
## 375   0.008914006   1.879517164  -5.73276303  -1.60577712  -2.60332306
## 376   0.008914006   1.879517164  -5.73276303  -1.60577712  -2.60332306
## 377   2.502549885   0.692800286  -3.90100321   0.35910488  -0.90172057
## 378   2.502549885   0.692800286  -3.90100321   0.35910488  -0.90172057
## 379   2.502549885   0.692800286  -3.90100321   0.35910488  -0.90172057
## 380   2.502549885   0.692800286  -3.90100321   0.35910488  -0.90172057
## 381   2.502549885   0.692800286  -3.90100321   0.35910488  -0.90172057
## 382   2.502549885   0.692800286  -3.90100321   0.35910488  -0.90172057
## 383   2.502549885   0.692800286  -3.90100321   0.35910488  -0.90172057
## 384   2.502549885   0.692800286  -3.90100321   0.35910488  -0.90172057
## 385   5.073355437  -0.700044815 -11.94163611  -1.12946464  13.49978258
## 386   5.073355437  -0.700044815 -11.94163611  -1.12946464  13.49978258
## 387   5.073355437  -0.700044815 -11.94163611  -1.12946464  13.49978258
## 388   5.073355437  -0.700044815 -11.94163611  -1.12946464  13.49978258
## 389   5.073355437  -0.700044815 -11.94163611  -1.12946464  13.49978258
## 390   5.073355437  -0.700044815 -11.94163611  -1.12946464  13.49978258
## 391   5.073355437  -0.700044815 -11.94163611  -1.12946464  13.49978258
## 392   5.073355437  -0.700044815 -11.94163611  -1.12946464  13.49978258
## 393  14.783229245  30.888786166  15.73078792   2.51073777 -88.15360852
## 394  14.783229245  30.888786166  15.73078792   2.51073777 -88.15360852
## 395  14.783229245  30.888786166  15.73078792   2.51073777 -88.15360852
## 396  14.783229245  30.888786166  15.73078792   2.51073777 -88.15360852
## 397  14.783229245  30.888786166  15.73078792   2.51073777 -88.15360852
## 398  14.783229245  30.888786166  15.73078792   2.51073777 -88.15360852
## 399  14.783229245  30.888786166  15.73078792   2.51073777 -88.15360852
## 400  14.783229245  30.888786166  15.73078792   2.51073777 -88.15360852
## 401  -1.810913537  -1.136957422  -1.72283121   1.34250755   4.24226316
## 402  -1.810913537  -1.136957422  -1.72283121   1.34250755   4.24226316
## 403  -1.810913537  -1.136957422  -1.72283121   1.34250755   4.24226316
## 404  -1.810913537  -1.136957422  -1.72283121   1.34250755   4.24226316
## 405  -1.810913537  -1.136957422  -1.72283121   1.34250755   4.24226316
## 406  -1.810913537  -1.136957422  -1.72283121   1.34250755   4.24226316
## 407  -1.810913537  -1.136957422  -1.72283121   1.34250755   4.24226316
## 408  -1.810913537  -1.136957422  -1.72283121   1.34250755   4.24226316
## 409   0.380617758   0.537895703  -1.10616365   0.47352955   2.07010444
## 410   0.380617758   0.537895703  -1.10616365   0.47352955   2.07010444
## 411   0.380617758   0.537895703  -1.10616365   0.47352955   2.07010444
## 412   0.380617758   0.537895703  -1.10616365   0.47352955   2.07010444
## 413   0.380617758   0.537895703  -1.10616365   0.47352955   2.07010444
## 414   0.380617758   0.537895703  -1.10616365   0.47352955   2.07010444
## 415   0.380617758   0.537895703  -1.10616365   0.47352955   2.07010444
## 416   0.380617758   0.537895703  -1.10616365   0.47352955   2.07010444
## 417  -6.637265223   0.096624430  -0.89821763   1.06220379   9.64512416
## 418  -6.637265223   0.096624430  -0.89821763   1.06220379   9.64512416
## 419  -6.637265223   0.096624430  -0.89821763   1.06220379   9.64512416
## 420  -6.637265223   0.096624430  -0.89821763   1.06220379   9.64512416
## 421  -6.637265223   0.096624430  -0.89821763   1.06220379   9.64512416
## 422  -6.637265223   0.096624430  -0.89821763   1.06220379   9.64512416
## 423  -6.637265223   0.096624430  -0.89821763   1.06220379   9.64512416
## 424  -6.637265223   0.096624430  -0.89821763   1.06220379   9.64512416
## 425   0.282703916   2.891430594  -2.03480542   4.37599883  -1.18810463
## 426   0.282703916   2.891430594  -2.03480542   4.37599883  -1.18810463
## 427   0.282703916   2.891430594  -2.03480542   4.37599883  -1.18810463
## 428   0.282703916   2.891430594  -2.03480542   4.37599883  -1.18810463
## 429   0.282703916   2.891430594  -2.03480542   4.37599883  -1.18810463
## 430   0.282703916   2.891430594  -2.03480542   4.37599883  -1.18810463
## 431   0.282703916   2.891430594  -2.03480542   4.37599883  -1.18810463
## 432   0.282703916   2.891430594  -2.03480542   4.37599883  -1.18810463
## 433   0.221985105   1.324569485   0.02788042  -0.21740514  -0.48440366
## 434   0.221985105   1.324569485   0.02788042  -0.21740514  -0.48440366
## 435   0.221985105   1.324569485   0.02788042  -0.21740514  -0.48440366
## 436   0.221985105   1.324569485   0.02788042  -0.21740514  -0.48440366
## 437   0.221985105   1.324569485   0.02788042  -0.21740514  -0.48440366
## 438   0.221985105   1.324569485   0.02788042  -0.21740514  -0.48440366
## 439   0.221985105   1.324569485   0.02788042  -0.21740514  -0.48440366
## 440   0.221985105   1.324569485   0.02788042  -0.21740514  -0.48440366
## 441   0.097525189  -0.660452157   1.10012280   0.05570682   1.17660963
## 442   0.097525189  -0.660452157   1.10012280   0.05570682   1.17660963
## 443   0.097525189  -0.660452157   1.10012280   0.05570682   1.17660963
## 444   0.097525189  -0.660452157   1.10012280   0.05570682   1.17660963
## 445   0.097525189  -0.660452157   1.10012280   0.05570682   1.17660963
## 446   0.097525189  -0.660452157   1.10012280   0.05570682   1.17660963
## 447   0.097525189  -0.660452157   1.10012280   0.05570682   1.17660963
## 448   0.097525189  -0.660452157   1.10012280   0.05570682   1.17660963
## 449  -7.084141945  -7.791273386   0.97531885  -6.00008213   1.23556954
## 450  -7.084141945  -7.791273386   0.97531885  -6.00008213   1.23556954
## 451  -7.084141945  -7.791273386   0.97531885  -6.00008213   1.23556954
## 452  -7.084141945  -7.791273386   0.97531885  -6.00008213   1.23556954
## 453  -7.084141945  -7.791273386   0.97531885  -6.00008213   1.23556954
## 454  -7.084141945  -7.791273386   0.97531885  -6.00008213   1.23556954
## 455  -7.084141945  -7.791273386   0.97531885  -6.00008213   1.23556954
## 456  -7.084141945  -7.791273386   0.97531885  -6.00008213   1.23556954
## 457   4.553183782   4.063308327   1.03050396  -1.68952076   1.62600981
## 458   4.553183782   4.063308327   1.03050396  -1.68952076   1.62600981
## 459   4.553183782   4.063308327   1.03050396  -1.68952076   1.62600981
## 460   4.553183782   4.063308327   1.03050396  -1.68952076   1.62600981
## 461   4.553183782   4.063308327   1.03050396  -1.68952076   1.62600981
## 462   4.553183782   4.063308327   1.03050396  -1.68952076   1.62600981
## 463   4.553183782   4.063308327   1.03050396  -1.68952076   1.62600981
## 464   4.553183782   4.063308327   1.03050396  -1.68952076   1.62600981
## 465   2.388005315   1.319149664  -0.06226743  -1.56412003   3.69451522
## 466   2.388005315   1.319149664  -0.06226743  -1.56412003   3.69451522
## 467   2.388005315   1.319149664  -0.06226743  -1.56412003   3.69451522
## 468   2.388005315   1.319149664  -0.06226743  -1.56412003   3.69451522
## 469   2.388005315   1.319149664  -0.06226743  -1.56412003   3.69451522
## 470   2.388005315   1.319149664  -0.06226743  -1.56412003   3.69451522
## 471   2.388005315   1.319149664  -0.06226743  -1.56412003   3.69451522
## 472   2.388005315   1.319149664  -0.06226743  -1.56412003   3.69451522
## 473  -1.875326673   1.105547309   1.11639793  -1.17493713   1.54656361
## 474  -1.875326673   1.105547309   1.11639793  -1.17493713   1.54656361
## 475  -1.875326673   1.105547309   1.11639793  -1.17493713   1.54656361
## 476  -1.875326673   1.105547309   1.11639793  -1.17493713   1.54656361
## 477  -1.875326673   1.105547309   1.11639793  -1.17493713   1.54656361
## 478  -1.875326673   1.105547309   1.11639793  -1.17493713   1.54656361
## 479  -1.875326673   1.105547309   1.11639793  -1.17493713   1.54656361
## 480  -1.875326673   1.105547309   1.11639793  -1.17493713   1.54656361
## 481   0.056544963  -0.189983791  -0.50645653   0.42027995  -0.67083884
## 482   0.056544963  -0.189983791  -0.50645653   0.42027995  -0.67083884
## 483   0.056544963  -0.189983791  -0.50645653   0.42027995  -0.67083884
## 484   0.056544963  -0.189983791  -0.50645653   0.42027995  -0.67083884
## 485   0.056544963  -0.189983791  -0.50645653   0.42027995  -0.67083884
## 486   0.056544963  -0.189983791  -0.50645653   0.42027995  -0.67083884
## 487   0.056544963  -0.189983791  -0.50645653   0.42027995  -0.67083884
## 488   0.056544963  -0.189983791  -0.50645653   0.42027995  -0.67083884
## 489  -0.529419013  -1.035098868  -0.73812697   0.35775672  -1.52191603
## 490  -0.529419013  -1.035098868  -0.73812697   0.35775672  -1.52191603
## 491  -0.529419013  -1.035098868  -0.73812697   0.35775672  -1.52191603
## 492  -0.529419013  -1.035098868  -0.73812697   0.35775672  -1.52191603
## 493  -0.529419013  -1.035098868  -0.73812697   0.35775672  -1.52191603
## 494  -0.529419013  -1.035098868  -0.73812697   0.35775672  -1.52191603
## 495  -0.529419013  -1.035098868  -0.73812697   0.35775672  -1.52191603
## 496  -0.529419013  -1.035098868  -0.73812697   0.35775672  -1.52191603
## 497   3.558213453  -2.218578120   8.83480816  -0.92344279  -2.35253370
## 498   3.558213453  -2.218578120   8.83480816  -0.92344279  -2.35253370
## 499   3.558213453  -2.218578120   8.83480816  -0.92344279  -2.35253370
## 500   3.558213453  -2.218578120   8.83480816  -0.92344279  -2.35253370
## 501   3.558213453  -2.218578120   8.83480816  -0.92344279  -2.35253370
## 502   3.558213453  -2.218578120   8.83480816  -0.92344279  -2.35253370
## 503   3.558213453  -2.218578120   8.83480816  -0.92344279  -2.35253370
## 504   3.558213453  -2.218578120   8.83480816  -0.92344279  -2.35253370
## 505  -0.898038911   1.338216835   3.79605468   0.48592074   0.48934737
## 506  -0.898038911   1.338216835   3.79605468   0.48592074   0.48934737
## 507  -0.898038911   1.338216835   3.79605468   0.48592074   0.48934737
## 508  -0.898038911   1.338216835   3.79605468   0.48592074   0.48934737
## 509  -0.898038911   1.338216835   3.79605468   0.48592074   0.48934737
## 510  -0.898038911   1.338216835   3.79605468   0.48592074   0.48934737
## 511  -0.898038911   1.338216835   3.79605468   0.48592074   0.48934737
## 512  -0.898038911   1.338216835   3.79605468   0.48592074   0.48934737
## 513   1.624648484   0.793876170   2.90515397  -0.29704665   2.89952391
## 514   1.624648484   0.793876170   2.90515397  -0.29704665   2.89952391
## 515   1.624648484   0.793876170   2.90515397  -0.29704665   2.89952391
## 516   1.624648484   0.793876170   2.90515397  -0.29704665   2.89952391
## 517   1.624648484   0.793876170   2.90515397  -0.29704665   2.89952391
## 518   1.624648484   0.793876170   2.90515397  -0.29704665   2.89952391
## 519   1.624648484   0.793876170   2.90515397  -0.29704665   2.89952391
## 520   1.624648484   0.793876170   2.90515397  -0.29704665   2.89952391
## 521  -0.133555277  -4.511061885  -3.47148084   2.47025701   5.25154032
## 522  -0.133555277  -4.511061885  -3.47148084   2.47025701   5.25154032
## 523  -0.133555277  -4.511061885  -3.47148084   2.47025701   5.25154032
## 524  -0.133555277  -4.511061885  -3.47148084   2.47025701   5.25154032
## 525  -0.133555277  -4.511061885  -3.47148084   2.47025701   5.25154032
## 526  -0.133555277  -4.511061885  -3.47148084   2.47025701   5.25154032
## 527  -0.133555277  -4.511061885  -3.47148084   2.47025701   5.25154032
## 528  -0.133555277  -4.511061885  -3.47148084   2.47025701   5.25154032
## 529  -3.240012074  -2.210585855  -3.93421284  -0.69310446  -1.46354742
## 530  -3.240012074  -2.210585855  -3.93421284  -0.69310446  -1.46354742
## 531  -3.240012074  -2.210585855  -3.93421284  -0.69310446  -1.46354742
## 532  -3.240012074  -2.210585855  -3.93421284  -0.69310446  -1.46354742
## 533  -3.240012074  -2.210585855  -3.93421284  -0.69310446  -1.46354742
## 534  -3.240012074  -2.210585855  -3.93421284  -0.69310446  -1.46354742
## 535  -3.240012074  -2.210585855  -3.93421284  -0.69310446  -1.46354742
## 536  -3.240012074  -2.210585855  -3.93421284  -0.69310446  -1.46354742
## 537  -1.342728004  -6.623426884  -1.55994692  -0.04088029   4.58684672
## 538  -1.342728004  -6.623426884  -1.55994692  -0.04088029   4.58684672
## 539  -1.342728004  -6.623426884  -1.55994692  -0.04088029   4.58684672
## 540  -1.342728004  -6.623426884  -1.55994692  -0.04088029   4.58684672
## 541  -1.342728004  -6.623426884  -1.55994692  -0.04088029   4.58684672
## 542  -1.342728004  -6.623426884  -1.55994692  -0.04088029   4.58684672
## 543  -1.342728004  -6.623426884  -1.55994692  -0.04088029   4.58684672
## 544  -1.342728004  -6.623426884  -1.55994692  -0.04088029   4.58684672
## 545  24.474156910  32.846795013  15.34758810 -11.88278710  13.67245973
## 546  24.474156910  32.846795013  15.34758810 -11.88278710  13.67245973
## 547  24.474156910  32.846795013  15.34758810 -11.88278710  13.67245973
## 548  24.474156910  32.846795013  15.34758810 -11.88278710  13.67245973
## 549  24.474156910  32.846795013  15.34758810 -11.88278710  13.67245973
## 550  24.474156910  32.846795013  15.34758810 -11.88278710  13.67245973
## 551  24.474156910  32.846795013  15.34758810 -11.88278710  13.67245973
## 552  24.474156910  32.846795013  15.34758810 -11.88278710  13.67245973
## 553   1.570506617  -1.709298119  -0.39409253  -0.68541091  -3.91427535
## 554   1.570506617  -1.709298119  -0.39409253  -0.68541091  -3.91427535
## 555   1.570506617  -1.709298119  -0.39409253  -0.68541091  -3.91427535
## 556   1.570506617  -1.709298119  -0.39409253  -0.68541091  -3.91427535
## 557   1.570506617  -1.709298119  -0.39409253  -0.68541091  -3.91427535
## 558   1.570506617  -1.709298119  -0.39409253  -0.68541091  -3.91427535
## 559   1.570506617  -1.709298119  -0.39409253  -0.68541091  -3.91427535
## 560   1.570506617  -1.709298119  -0.39409253  -0.68541091  -3.91427535
## 561  -3.692313240   2.400644351   3.14785301   1.84384414  -2.28263530
## 562  -3.692313240   2.400644351   3.14785301   1.84384414  -2.28263530
## 563  -3.692313240   2.400644351   3.14785301   1.84384414  -2.28263530
## 564  -3.692313240   2.400644351   3.14785301   1.84384414  -2.28263530
## 565  -3.692313240   2.400644351   3.14785301   1.84384414  -2.28263530
## 566  -3.692313240   2.400644351   3.14785301   1.84384414  -2.28263530
## 567  -3.692313240   2.400644351   3.14785301   1.84384414  -2.28263530
## 568  -3.692313240   2.400644351   3.14785301   1.84384414  -2.28263530
## 569   5.187719146 -62.534503805 -62.61421602  19.60807138 -29.02820744
## 570   5.187719146 -62.534503805 -62.61421602  19.60807138 -29.02820744
## 571   5.187719146 -62.534503805 -62.61421602  19.60807138 -29.02820744
## 572   5.187719146 -62.534503805 -62.61421602  19.60807138 -29.02820744
## 573   5.187719146 -62.534503805 -62.61421602  19.60807138 -29.02820744
## 574   5.187719146 -62.534503805 -62.61421602  19.60807138 -29.02820744
## 575   5.187719146 -62.534503805 -62.61421602  19.60807138 -29.02820744
## 576   5.187719146 -62.534503805 -62.61421602  19.60807138 -29.02820744
## 577   3.774567388   4.513614666   0.57571813   1.62441123   3.53317720
## 578   3.774567388   4.513614666   0.57571813   1.62441123   3.53317720
## 579   3.774567388   4.513614666   0.57571813   1.62441123   3.53317720
## 580   3.774567388   4.513614666   0.57571813   1.62441123   3.53317720
## 581   3.774567388   4.513614666   0.57571813   1.62441123   3.53317720
## 582   3.774567388   4.513614666   0.57571813   1.62441123   3.53317720
## 583   3.774567388   4.513614666   0.57571813   1.62441123   3.53317720
## 584   3.774567388   4.513614666   0.57571813   1.62441123   3.53317720
## 585   0.051100455   0.706295436  -0.08370485   1.03356123  -0.21412841
## 586   0.051100455   0.706295436  -0.08370485   1.03356123  -0.21412841
## 587   0.051100455   0.706295436  -0.08370485   1.03356123  -0.21412841
## 588   0.051100455   0.706295436  -0.08370485   1.03356123  -0.21412841
## 589   0.051100455   0.706295436  -0.08370485   1.03356123  -0.21412841
## 590   0.051100455   0.706295436  -0.08370485   1.03356123  -0.21412841
## 591   0.051100455   0.706295436  -0.08370485   1.03356123  -0.21412841
## 592   0.051100455   0.706295436  -0.08370485   1.03356123  -0.21412841
## 593  -0.722240686  -0.151487750   0.82448126   0.48472536  -1.34724758
## 594  -0.722240686  -0.151487750   0.82448126   0.48472536  -1.34724758
## 595  -0.722240686  -0.151487750   0.82448126   0.48472536  -1.34724758
## 596  -0.722240686  -0.151487750   0.82448126   0.48472536  -1.34724758
## 597  -0.722240686  -0.151487750   0.82448126   0.48472536  -1.34724758
## 598  -0.722240686  -0.151487750   0.82448126   0.48472536  -1.34724758
## 599  -0.722240686  -0.151487750   0.82448126   0.48472536  -1.34724758
## 600  -0.722240686  -0.151487750   0.82448126   0.48472536  -1.34724758
## 601   4.269333202  -7.731661211  -6.90188212  -0.95625579  -2.43418671
## 602   4.269333202  -7.731661211  -6.90188212  -0.95625579  -2.43418671
## 603   4.269333202  -7.731661211  -6.90188212  -0.95625579  -2.43418671
## 604   4.269333202  -7.731661211  -6.90188212  -0.95625579  -2.43418671
## 605   4.269333202  -7.731661211  -6.90188212  -0.95625579  -2.43418671
## 606   4.269333202  -7.731661211  -6.90188212  -0.95625579  -2.43418671
## 607   4.269333202  -7.731661211  -6.90188212  -0.95625579  -2.43418671
## 608   4.269333202  -7.731661211  -6.90188212  -0.95625579  -2.43418671
## 609   3.752371296  -3.843182101  -7.72151466  -9.04527123   2.02467182
## 610   3.752371296  -3.843182101  -7.72151466  -9.04527123   2.02467182
## 611   3.752371296  -3.843182101  -7.72151466  -9.04527123   2.02467182
## 612   3.752371296  -3.843182101  -7.72151466  -9.04527123   2.02467182
## 613   3.752371296  -3.843182101  -7.72151466  -9.04527123   2.02467182
## 614   3.752371296  -3.843182101  -7.72151466  -9.04527123   2.02467182
## 615   3.752371296  -3.843182101  -7.72151466  -9.04527123   2.02467182
## 616   3.752371296  -3.843182101  -7.72151466  -9.04527123   2.02467182
## 617  -4.136304374  -3.965917221  -0.62974375  -4.15823381   2.79616930
## 618  -4.136304374  -3.965917221  -0.62974375  -4.15823381   2.79616930
## 619  -4.136304374  -3.965917221  -0.62974375  -4.15823381   2.79616930
## 620  -4.136304374  -3.965917221  -0.62974375  -4.15823381   2.79616930
## 621  -4.136304374  -3.965917221  -0.62974375  -4.15823381   2.79616930
## 622  -4.136304374  -3.965917221  -0.62974375  -4.15823381   2.79616930
## 623  -4.136304374  -3.965917221  -0.62974375  -4.15823381   2.79616930
## 624  -4.136304374  -3.965917221  -0.62974375  -4.15823381   2.79616930
## 625  -1.850741239   1.939017954  -5.90398329  -3.92940655  -3.56393397
## 626  -1.850741239   1.939017954  -5.90398329  -3.92940655  -3.56393397
## 627  -1.850741239   1.939017954  -5.90398329  -3.92940655  -3.56393397
## 628  -1.850741239   1.939017954  -5.90398329  -3.92940655  -3.56393397
## 629  -1.850741239   1.939017954  -5.90398329  -3.92940655  -3.56393397
## 630  -1.850741239   1.939017954  -5.90398329  -3.92940655  -3.56393397
## 631  -1.850741239   1.939017954  -5.90398329  -3.92940655  -3.56393397
## 632  -1.850741239   1.939017954  -5.90398329  -3.92940655  -3.56393397
## 633  -1.408967160  -0.006847018  -5.86393625  -1.09109136  -0.29174783
## 634  -1.408967160  -0.006847018  -5.86393625  -1.09109136  -0.29174783
## 635  -1.408967160  -0.006847018  -5.86393625  -1.09109136  -0.29174783
## 636  -1.408967160  -0.006847018  -5.86393625  -1.09109136  -0.29174783
## 637  -1.408967160  -0.006847018  -5.86393625  -1.09109136  -0.29174783
## 638  -1.408967160  -0.006847018  -5.86393625  -1.09109136  -0.29174783
## 639  -1.408967160  -0.006847018  -5.86393625  -1.09109136  -0.29174783
## 640  -1.408967160  -0.006847018  -5.86393625  -1.09109136  -0.29174783
## 641  -0.617909419   1.754945626  -0.54911859  -2.22253753   0.83129970
## 642  -0.617909419   1.754945626  -0.54911859  -2.22253753   0.83129970
## 643  -0.617909419   1.754945626  -0.54911859  -2.22253753   0.83129970
## 644  -0.617909419   1.754945626  -0.54911859  -2.22253753   0.83129970
## 645  -0.617909419   1.754945626  -0.54911859  -2.22253753   0.83129970
## 646  -0.617909419   1.754945626  -0.54911859  -2.22253753   0.83129970
## 647  -0.617909419   1.754945626  -0.54911859  -2.22253753   0.83129970
## 648  -0.617909419   1.754945626  -0.54911859  -2.22253753   0.83129970
## 649  -1.788698097   5.761690366  -0.74905717   2.12451685   4.76236355
## 650  -1.788698097   5.761690366  -0.74905717   2.12451685   4.76236355
## 651  -1.788698097   5.761690366  -0.74905717   2.12451685   4.76236355
## 652  -1.788698097   5.761690366  -0.74905717   2.12451685   4.76236355
## 653  -1.788698097   5.761690366  -0.74905717   2.12451685   4.76236355
## 654  -1.788698097   5.761690366  -0.74905717   2.12451685   4.76236355
## 655  -1.788698097   5.761690366  -0.74905717   2.12451685   4.76236355
## 656  -1.788698097   5.761690366  -0.74905717   2.12451685   4.76236355
## 657   2.993913455  -0.612729800  -0.02365526   0.21231853   2.84105278
## 658   2.993913455  -0.612729800  -0.02365526   0.21231853   2.84105278
## 659   2.993913455  -0.612729800  -0.02365526   0.21231853   2.84105278
## 660   2.993913455  -0.612729800  -0.02365526   0.21231853   2.84105278
## 661   2.993913455  -0.612729800  -0.02365526   0.21231853   2.84105278
## 662   2.993913455  -0.612729800  -0.02365526   0.21231853   2.84105278
## 663   2.993913455  -0.612729800  -0.02365526   0.21231853   2.84105278
## 664   2.993913455  -0.612729800  -0.02365526   0.21231853   2.84105278
## 665  -0.340273710   0.728088008  -2.09543358   0.70005741   0.21959491
## 666  -0.340273710   0.728088008  -2.09543358   0.70005741   0.21959491
## 667  -0.340273710   0.728088008  -2.09543358   0.70005741   0.21959491
## 668  -0.340273710   0.728088008  -2.09543358   0.70005741   0.21959491
## 669  -0.340273710   0.728088008  -2.09543358   0.70005741   0.21959491
## 670  -0.340273710   0.728088008  -2.09543358   0.70005741   0.21959491
## 671  -0.340273710   0.728088008  -2.09543358   0.70005741   0.21959491
## 672  -0.340273710   0.728088008  -2.09543358   0.70005741   0.21959491
## 673 -58.963830445  -3.906637543   1.86609063  -7.55760107   2.97007337
## 674 -58.963830445  -3.906637543   1.86609063  -7.55760107   2.97007337
## 675 -58.963830445  -3.906637543   1.86609063  -7.55760107   2.97007337
## 676 -58.963830445  -3.906637543   1.86609063  -7.55760107   2.97007337
## 677 -58.963830445  -3.906637543   1.86609063  -7.55760107   2.97007337
## 678 -58.963830445  -3.906637543   1.86609063  -7.55760107   2.97007337
## 679 -58.963830445  -3.906637543   1.86609063  -7.55760107   2.97007337
## 680 -58.963830445  -3.906637543   1.86609063  -7.55760107   2.97007337
## 681  -1.589049813  -1.954499961  -0.71258298   0.92716320  -0.51245915
## 682  -1.589049813  -1.954499961  -0.71258298   0.92716320  -0.51245915
## 683  -1.589049813  -1.954499961  -0.71258298   0.92716320  -0.51245915
## 684  -1.589049813  -1.954499961  -0.71258298   0.92716320  -0.51245915
## 685  -1.589049813  -1.954499961  -0.71258298   0.92716320  -0.51245915
## 686  -1.589049813  -1.954499961  -0.71258298   0.92716320  -0.51245915
## 687  -1.589049813  -1.954499961  -0.71258298   0.92716320  -0.51245915
## 688  -1.589049813  -1.954499961  -0.71258298   0.92716320  -0.51245915
## 689   1.812347452  -2.121696388   8.01078048  -0.63905169   3.21354666
## 690   1.812347452  -2.121696388   8.01078048  -0.63905169   3.21354666
## 691   1.812347452  -2.121696388   8.01078048  -0.63905169   3.21354666
## 692   1.812347452  -2.121696388   8.01078048  -0.63905169   3.21354666
## 693   1.812347452  -2.121696388   8.01078048  -0.63905169   3.21354666
## 694   1.812347452  -2.121696388   8.01078048  -0.63905169   3.21354666
## 695   1.812347452  -2.121696388   8.01078048  -0.63905169   3.21354666
## 696   1.812347452  -2.121696388   8.01078048  -0.63905169   3.21354666
## 697  -2.107430351   0.656356624  -3.57654156  -1.70795667   0.45989170
## 698  -2.107430351   0.656356624  -3.57654156  -1.70795667   0.45989170
## 699  -2.107430351   0.656356624  -3.57654156  -1.70795667   0.45989170
## 700  -2.107430351   0.656356624  -3.57654156  -1.70795667   0.45989170
## 701  -2.107430351   0.656356624  -3.57654156  -1.70795667   0.45989170
## 702  -2.107430351   0.656356624  -3.57654156  -1.70795667   0.45989170
## 703  -2.107430351   0.656356624  -3.57654156  -1.70795667   0.45989170
## 704  -2.107430351   0.656356624  -3.57654156  -1.70795667   0.45989170
## 705 -19.072590040 -31.220495766  69.92306564  65.96946123   2.19631902
## 706 -19.072590040 -31.220495766  69.92306564  65.96946123   2.19631902
## 707 -19.072590040 -31.220495766  69.92306564  65.96946123   2.19631902
## 708 -19.072590040 -31.220495766  69.92306564  65.96946123   2.19631902
## 709 -19.072590040 -31.220495766  69.92306564  65.96946123   2.19631902
## 710 -19.072590040 -31.220495766  69.92306564  65.96946123   2.19631902
## 711 -19.072590040 -31.220495766  69.92306564  65.96946123   2.19631902
## 712 -19.072590040 -31.220495766  69.92306564  65.96946123   2.19631902
## 713  -9.289052082  10.414809091   7.73884826  -3.92437293   4.42910113
## 714  -9.289052082  10.414809091   7.73884826  -3.92437293   4.42910113
## 715  -9.289052082  10.414809091   7.73884826  -3.92437293   4.42910113
## 716  -9.289052082  10.414809091   7.73884826  -3.92437293   4.42910113
## 717  -9.289052082  10.414809091   7.73884826  -3.92437293   4.42910113
## 718  -9.289052082  10.414809091   7.73884826  -3.92437293   4.42910113
## 719  -9.289052082  10.414809091   7.73884826  -3.92437293   4.42910113
## 720  -9.289052082  10.414809091   7.73884826  -3.92437293   4.42910113
## 721   3.516130000  -1.459738857  -2.53772535  -3.95874696  -2.84341421
## 722   3.516130000  -1.459738857  -2.53772535  -3.95874696  -2.84341421
## 723   3.516130000  -1.459738857  -2.53772535  -3.95874696  -2.84341421
## 724   3.516130000  -1.459738857  -2.53772535  -3.95874696  -2.84341421
## 725   3.516130000  -1.459738857  -2.53772535  -3.95874696  -2.84341421
## 726   3.516130000  -1.459738857  -2.53772535  -3.95874696  -2.84341421
## 727   3.516130000  -1.459738857  -2.53772535  -3.95874696  -2.84341421
## 728   3.516130000  -1.459738857  -2.53772535  -3.95874696  -2.84341421
## 729  -0.033369752   2.470182595   1.47502930  -1.80554758  -0.82852178
## 730  -0.033369752   2.470182595   1.47502930  -1.80554758  -0.82852178
## 731  -0.033369752   2.470182595   1.47502930  -1.80554758  -0.82852178
## 732  -0.033369752   2.470182595   1.47502930  -1.80554758  -0.82852178
## 733  -0.033369752   2.470182595   1.47502930  -1.80554758  -0.82852178
## 734  -0.033369752   2.470182595   1.47502930  -1.80554758  -0.82852178
## 735  -0.033369752   2.470182595   1.47502930  -1.80554758  -0.82852178
## 736  -0.033369752   2.470182595   1.47502930  -1.80554758  -0.82852178
## 737   2.208740324  -7.449731862  -0.02599281  -5.28823668  -8.85156749
## 738   2.208740324  -7.449731862  -0.02599281  -5.28823668  -8.85156749
## 739   2.208740324  -7.449731862  -0.02599281  -5.28823668  -8.85156749
## 740   2.208740324  -7.449731862  -0.02599281  -5.28823668  -8.85156749
## 741   2.208740324  -7.449731862  -0.02599281  -5.28823668  -8.85156749
## 742   2.208740324  -7.449731862  -0.02599281  -5.28823668  -8.85156749
## 743   2.208740324  -7.449731862  -0.02599281  -5.28823668  -8.85156749
## 744   2.208740324  -7.449731862  -0.02599281  -5.28823668  -8.85156749
## 745   4.843651354  -1.271109455   4.95056882  -7.97275898  -8.12640200
## 746   4.843651354  -1.271109455   4.95056882  -7.97275898  -8.12640200
## 747   4.843651354  -1.271109455   4.95056882  -7.97275898  -8.12640200
## 748   4.843651354  -1.271109455   4.95056882  -7.97275898  -8.12640200
## 749   4.843651354  -1.271109455   4.95056882  -7.97275898  -8.12640200
## 750   4.843651354  -1.271109455   4.95056882  -7.97275898  -8.12640200
## 751   4.843651354  -1.271109455   4.95056882  -7.97275898  -8.12640200
## 752   4.843651354  -1.271109455   4.95056882  -7.97275898  -8.12640200
## 753  -7.448025142  -0.743794436  -0.47425585  -6.96461804   0.26966700
## 754  -7.448025142  -0.743794436  -0.47425585  -6.96461804   0.26966700
## 755  -7.448025142  -0.743794436  -0.47425585  -6.96461804   0.26966700
## 756  -7.448025142  -0.743794436  -0.47425585  -6.96461804   0.26966700
## 757  -7.448025142  -0.743794436  -0.47425585  -6.96461804   0.26966700
## 758  -7.448025142  -0.743794436  -0.47425585  -6.96461804   0.26966700
## 759  -7.448025142  -0.743794436  -0.47425585  -6.96461804   0.26966700
## 760  -7.448025142  -0.743794436  -0.47425585  -6.96461804   0.26966700
## 761  -0.898466703   6.232123740   3.66023368   0.18573908   2.16656623
## 762  -0.898466703   6.232123740   3.66023368   0.18573908   2.16656623
## 763  -0.898466703   6.232123740   3.66023368   0.18573908   2.16656623
## 764  -0.898466703   6.232123740   3.66023368   0.18573908   2.16656623
## 765  -0.898466703   6.232123740   3.66023368   0.18573908   2.16656623
## 766  -0.898466703   6.232123740   3.66023368   0.18573908   2.16656623
## 767  -0.898466703   6.232123740   3.66023368   0.18573908   2.16656623
## 768  -0.898466703   6.232123740   3.66023368   0.18573908   2.16656623
## 769   9.529040141  -1.916319189   1.38406880  -9.53266417   0.86679735
## 770   9.529040141  -1.916319189   1.38406880  -9.53266417   0.86679735
## 771   9.529040141  -1.916319189   1.38406880  -9.53266417   0.86679735
## 772   9.529040141  -1.916319189   1.38406880  -9.53266417   0.86679735
## 773   9.529040141  -1.916319189   1.38406880  -9.53266417   0.86679735
## 774   9.529040141  -1.916319189   1.38406880  -9.53266417   0.86679735
## 775   9.529040141  -1.916319189   1.38406880  -9.53266417   0.86679735
## 776   9.529040141  -1.916319189   1.38406880  -9.53266417   0.86679735
## 777  -0.465159887   0.624650219  -3.16827692   0.55103662   0.08920055
## 778  -0.465159887   0.624650219  -3.16827692   0.55103662   0.08920055
## 779  -0.465159887   0.624650219  -3.16827692   0.55103662   0.08920055
## 780  -0.465159887   0.624650219  -3.16827692   0.55103662   0.08920055
## 781  -0.465159887   0.624650219  -3.16827692   0.55103662   0.08920055
## 782  -0.465159887   0.624650219  -3.16827692   0.55103662   0.08920055
## 783  -0.465159887   0.624650219  -3.16827692   0.55103662   0.08920055
## 784  -0.465159887   0.624650219  -3.16827692   0.55103662   0.08920055
## 785  -1.438917590  -0.697738790  -0.43818879   1.23550042  -1.47097066
## 786  -1.438917590  -0.697738790  -0.43818879   1.23550042  -1.47097066
## 787  -1.438917590  -0.697738790  -0.43818879   1.23550042  -1.47097066
## 788  -1.438917590  -0.697738790  -0.43818879   1.23550042  -1.47097066
## 789  -1.438917590  -0.697738790  -0.43818879   1.23550042  -1.47097066
## 790  -1.438917590  -0.697738790  -0.43818879   1.23550042  -1.47097066
## 791  -1.438917590  -0.697738790  -0.43818879   1.23550042  -1.47097066
## 792  -1.438917590  -0.697738790  -0.43818879   1.23550042  -1.47097066
## 793  -0.768029395   0.234596133  -0.88237365  -0.65735710   1.45302932
## 794  -0.768029395   0.234596133  -0.88237365  -0.65735710   1.45302932
## 795  -0.768029395   0.234596133  -0.88237365  -0.65735710   1.45302932
## 796  -0.768029395   0.234596133  -0.88237365  -0.65735710   1.45302932
## 797  -0.768029395   0.234596133  -0.88237365  -0.65735710   1.45302932
## 798  -0.768029395   0.234596133  -0.88237365  -0.65735710   1.45302932
## 799  -0.768029395   0.234596133  -0.88237365  -0.65735710   1.45302932
##     PC112_score  PC113_score   PC114_score
## 1     1.4148274   1.49412280 -4.533294e-13
## 2     1.4148274   1.49412280 -4.533294e-13
## 3     1.4148274   1.49412280 -4.533294e-13
## 4     1.4148274   1.49412280 -4.533294e-13
## 5     1.4148274   1.49412280 -4.533294e-13
## 6     1.4148274   1.49412280 -4.533294e-13
## 7     1.4148274   1.49412280 -4.533294e-13
## 8     1.4148274   1.49412280 -4.533294e-13
## 9    -0.9420224  18.21880120 -1.859786e-13
## 10   -0.9420224  18.21880120 -1.859786e-13
## 11   -0.9420224  18.21880120 -1.859786e-13
## 12   -0.9420224  18.21880120 -1.859786e-13
## 13   -0.9420224  18.21880120 -1.859786e-13
## 14   -0.9420224  18.21880120 -1.859786e-13
## 15   -0.9420224  18.21880120 -1.859786e-13
## 16   -0.9420224  18.21880120 -1.859786e-13
## 17   -0.3048741   2.48262768  2.808384e-12
## 18   -0.3048741   2.48262768  2.808384e-12
## 19   -0.3048741   2.48262768  2.808384e-12
## 20   -0.3048741   2.48262768  2.808384e-12
## 21   -0.3048741   2.48262768  2.808384e-12
## 22   -0.3048741   2.48262768  2.808384e-12
## 23   -0.3048741   2.48262768  2.808384e-12
## 24   -0.3048741   2.48262768  2.808384e-12
## 25    4.0697591   0.90915606 -3.903154e-13
## 26    4.0697591   0.90915606 -3.903154e-13
## 27    4.0697591   0.90915606 -3.903154e-13
## 28    4.0697591   0.90915606 -3.903154e-13
## 29    4.0697591   0.90915606 -3.903154e-13
## 30    4.0697591   0.90915606 -3.903154e-13
## 31    4.0697591   0.90915606 -3.903154e-13
## 32    4.0697591   0.90915606 -3.903154e-13
## 33    1.0648173  -2.62457265 -5.614928e-13
## 34    1.0648173  -2.62457265 -5.614928e-13
## 35    1.0648173  -2.62457265 -5.614928e-13
## 36    1.0648173  -2.62457265 -5.614928e-13
## 37    1.0648173  -2.62457265 -5.614928e-13
## 38    1.0648173  -2.62457265 -5.614928e-13
## 39    1.0648173  -2.62457265 -5.614928e-13
## 40    1.0648173  -2.62457265 -5.614928e-13
## 41    2.5703921   1.10521477 -5.647982e-13
## 42    2.5703921   1.10521477 -5.647982e-13
## 43    2.5703921   1.10521477 -5.647982e-13
## 44    2.5703921   1.10521477 -5.647982e-13
## 45    2.5703921   1.10521477 -5.647982e-13
## 46    2.5703921   1.10521477 -5.647982e-13
## 47    2.5703921   1.10521477 -5.647982e-13
## 48    2.5703921   1.10521477 -5.647982e-13
## 49    1.6934469  -1.39155202  5.481548e-13
## 50    1.6934469  -1.39155202  5.481548e-13
## 51    1.6934469  -1.39155202  5.481548e-13
## 52    1.6934469  -1.39155202  5.481548e-13
## 53    1.6934469  -1.39155202  5.481548e-13
## 54    1.6934469  -1.39155202  5.481548e-13
## 55    1.6934469  -1.39155202  5.481548e-13
## 56    1.6934469  -1.39155202  5.481548e-13
## 57   -3.0939225   0.31305484 -4.028056e-13
## 58   -3.0939225   0.31305484 -4.028056e-13
## 59   -3.0939225   0.31305484 -4.028056e-13
## 60   -3.0939225   0.31305484 -4.028056e-13
## 61   -3.0939225   0.31305484 -4.028056e-13
## 62   -3.0939225   0.31305484 -4.028056e-13
## 63   -3.0939225   0.31305484 -4.028056e-13
## 64   -3.0939225   0.31305484 -4.028056e-13
## 65    4.0962675  -0.92861228 -4.189001e-13
## 66    4.0962675  -0.92861228 -4.189001e-13
## 67    4.0962675  -0.92861228 -4.189001e-13
## 68    4.0962675  -0.92861228 -4.189001e-13
## 69    4.0962675  -0.92861228 -4.189001e-13
## 70    4.0962675  -0.92861228 -4.189001e-13
## 71    4.0962675  -0.92861228 -4.189001e-13
## 72    4.0962675  -0.92861228 -4.189001e-13
## 73    3.4583255  -0.47213268 -1.211138e-13
## 74    3.4583255  -0.47213268 -1.211138e-13
## 75    3.4583255  -0.47213268 -1.211138e-13
## 76    3.4583255  -0.47213268 -1.211138e-13
## 77    3.4583255  -0.47213268 -1.211138e-13
## 78    3.4583255  -0.47213268 -1.211138e-13
## 79    3.4583255  -0.47213268 -1.211138e-13
## 80    3.4583255  -0.47213268 -1.211138e-13
## 81    5.4969061  -6.02302791 -5.250193e-13
## 82    5.4969061  -6.02302791 -5.250193e-13
## 83    5.4969061  -6.02302791 -5.250193e-13
## 84    5.4969061  -6.02302791 -5.250193e-13
## 85    5.4969061  -6.02302791 -5.250193e-13
## 86    5.4969061  -6.02302791 -5.250193e-13
## 87    5.4969061  -6.02302791 -5.250193e-13
## 88    5.4969061  -6.02302791 -5.250193e-13
## 89   -0.1405416   0.27229721 -1.131584e-12
## 90   -0.1405416   0.27229721 -1.131584e-12
## 91   -0.1405416   0.27229721 -1.131584e-12
## 92   -0.1405416   0.27229721 -1.131584e-12
## 93   -0.1405416   0.27229721 -1.131584e-12
## 94   -0.1405416   0.27229721 -1.131584e-12
## 95   -0.1405416   0.27229721 -1.131584e-12
## 96   -0.1405416   0.27229721 -1.131584e-12
## 97    3.4604339  -2.37917159 -5.768107e-13
## 98    3.4604339  -2.37917159 -5.768107e-13
## 99    3.4604339  -2.37917159 -5.768107e-13
## 100   3.4604339  -2.37917159 -5.768107e-13
## 101   3.4604339  -2.37917159 -5.768107e-13
## 102   3.4604339  -2.37917159 -5.768107e-13
## 103   3.4604339  -2.37917159 -5.768107e-13
## 104   3.4604339  -2.37917159 -5.768107e-13
## 105   1.1103342  -2.99359955  4.018850e-13
## 106   1.1103342  -2.99359955  4.018850e-13
## 107   1.1103342  -2.99359955  4.018850e-13
## 108   1.1103342  -2.99359955  4.018850e-13
## 109   1.1103342  -2.99359955  4.018850e-13
## 110   1.1103342  -2.99359955  4.018850e-13
## 111   1.1103342  -2.99359955  4.018850e-13
## 112   1.1103342  -2.99359955  4.018850e-13
## 113   0.7615884  -1.97831718 -6.479807e-14
## 114   0.7615884  -1.97831718 -6.479807e-14
## 115   0.7615884  -1.97831718 -6.479807e-14
## 116   0.7615884  -1.97831718 -6.479807e-14
## 117   0.7615884  -1.97831718 -6.479807e-14
## 118   0.7615884  -1.97831718 -6.479807e-14
## 119   0.7615884  -1.97831718 -6.479807e-14
## 120   0.7615884  -1.97831718 -6.479807e-14
## 121   3.0838608   0.24733991 -2.425929e-13
## 122   3.0838608   0.24733991 -2.425929e-13
## 123   3.0838608   0.24733991 -2.425929e-13
## 124   3.0838608   0.24733991 -2.425929e-13
## 125   3.0838608   0.24733991 -2.425929e-13
## 126   3.0838608   0.24733991 -2.425929e-13
## 127   3.0838608   0.24733991 -2.425929e-13
## 128   3.0838608   0.24733991 -2.425929e-13
## 129   2.3730831   3.79054386 -3.021893e-13
## 130   2.3730831   3.79054386 -3.021893e-13
## 131   2.3730831   3.79054386 -3.021893e-13
## 132   2.3730831   3.79054386 -3.021893e-13
## 133   2.3730831   3.79054386 -3.021893e-13
## 134   2.3730831   3.79054386 -3.021893e-13
## 135   2.3730831   3.79054386 -3.021893e-13
## 136   2.3730831   3.79054386 -3.021893e-13
## 137  -0.1995103   0.34505860 -9.109605e-13
## 138  -0.1995103   0.34505860 -9.109605e-13
## 139  -0.1995103   0.34505860 -9.109605e-13
## 140  -0.1995103   0.34505860 -9.109605e-13
## 141  -0.1995103   0.34505860 -9.109605e-13
## 142  -0.1995103   0.34505860 -9.109605e-13
## 143  -0.1995103   0.34505860 -9.109605e-13
## 144  -0.1995103   0.34505860 -9.109605e-13
## 145   0.1128473  -2.82759740 -1.737488e-13
## 146   0.1128473  -2.82759740 -1.737488e-13
## 147   0.1128473  -2.82759740 -1.737488e-13
## 148   0.1128473  -2.82759740 -1.737488e-13
## 149   0.1128473  -2.82759740 -1.737488e-13
## 150   0.1128473  -2.82759740 -1.737488e-13
## 151   0.1128473  -2.82759740 -1.737488e-13
## 152   0.1128473  -2.82759740 -1.737488e-13
## 153   0.8484462   1.13115418 -7.599358e-13
## 154   0.8484462   1.13115418 -7.599358e-13
## 155   0.8484462   1.13115418 -7.599358e-13
## 156   0.8484462   1.13115418 -7.599358e-13
## 157   0.8484462   1.13115418 -7.599358e-13
## 158   0.8484462   1.13115418 -7.599358e-13
## 159   0.8484462   1.13115418 -7.599358e-13
## 160   0.8484462   1.13115418 -7.599358e-13
## 161  -2.1236791   1.87527546 -2.839919e-13
## 162  -2.1236791   1.87527546 -2.839919e-13
## 163  -2.1236791   1.87527546 -2.839919e-13
## 164  -2.1236791   1.87527546 -2.839919e-13
## 165  -2.1236791   1.87527546 -2.839919e-13
## 166  -2.1236791   1.87527546 -2.839919e-13
## 167  -2.1236791   1.87527546 -2.839919e-13
## 168  -2.1236791   1.87527546 -2.839919e-13
## 169 -90.2811724 -47.57635473  7.685131e-12
## 170 -90.2811724 -47.57635473  7.685131e-12
## 171 -90.2811724 -47.57635473  7.685131e-12
## 172 -90.2811724 -47.57635473  7.685131e-12
## 173 -90.2811724 -47.57635473  7.685131e-12
## 174 -90.2811724 -47.57635473  7.685131e-12
## 175 -90.2811724 -47.57635473  7.685131e-12
## 176 -90.2811724 -47.57635473  7.685131e-12
## 177  -1.3882427  -2.23571672 -9.125174e-13
## 178  -1.3882427  -2.23571672 -9.125174e-13
## 179  -1.3882427  -2.23571672 -9.125174e-13
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## 538   1.0478639  -0.19005535  5.427456e-13
## 539   1.0478639  -0.19005535  5.427456e-13
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## 546 -13.4980609  -3.02691926 -2.296559e-13
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## 548 -13.4980609  -3.02691926 -2.296559e-13
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## 579  -3.8026009  -2.71331242 -6.098075e-13
## 580  -3.8026009  -2.71331242 -6.098075e-13
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## 582  -3.8026009  -2.71331242 -6.098075e-13
## 583  -3.8026009  -2.71331242 -6.098075e-13
## 584  -3.8026009  -2.71331242 -6.098075e-13
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## 586  -0.6983323   0.75962222 -7.624597e-13
## 587  -0.6983323   0.75962222 -7.624597e-13
## 588  -0.6983323   0.75962222 -7.624597e-13
## 589  -0.6983323   0.75962222 -7.624597e-13
## 590  -0.6983323   0.75962222 -7.624597e-13
## 591  -0.6983323   0.75962222 -7.624597e-13
## 592  -0.6983323   0.75962222 -7.624597e-13
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## 594  -0.5107083   0.06626508 -3.432755e-13
## 595  -0.5107083   0.06626508 -3.432755e-13
## 596  -0.5107083   0.06626508 -3.432755e-13
## 597  -0.5107083   0.06626508 -3.432755e-13
## 598  -0.5107083   0.06626508 -3.432755e-13
## 599  -0.5107083   0.06626508 -3.432755e-13
## 600  -0.5107083   0.06626508 -3.432755e-13
## 601   3.5877223   0.57948295 -5.914942e-13
## 602   3.5877223   0.57948295 -5.914942e-13
## 603   3.5877223   0.57948295 -5.914942e-13
## 604   3.5877223   0.57948295 -5.914942e-13
## 605   3.5877223   0.57948295 -5.914942e-13
## 606   3.5877223   0.57948295 -5.914942e-13
## 607   3.5877223   0.57948295 -5.914942e-13
## 608   3.5877223   0.57948295 -5.914942e-13
## 609  -5.8785297  -3.53513384  1.657996e-11
## 610  -5.8785297  -3.53513384  1.657996e-11
## 611  -5.8785297  -3.53513384  1.657996e-11
## 612  -5.8785297  -3.53513384  1.657996e-11
## 613  -5.8785297  -3.53513384  1.657996e-11
## 614  -5.8785297  -3.53513384  1.657996e-11
## 615  -5.8785297  -3.53513384  1.657996e-11
## 616  -5.8785297  -3.53513384  1.657996e-11
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## 618   0.7464386  -0.28299838 -4.008094e-13
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## 621   0.7464386  -0.28299838 -4.008094e-13
## 622   0.7464386  -0.28299838 -4.008094e-13
## 623   0.7464386  -0.28299838 -4.008094e-13
## 624   0.7464386  -0.28299838 -4.008094e-13
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## 626  -0.6720901  -1.39216525 -3.319594e-13
## 627  -0.6720901  -1.39216525 -3.319594e-13
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## 630  -0.6720901  -1.39216525 -3.319594e-13
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## 644  -0.5729072   0.97241980 -5.355510e-13
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## 648  -0.5729072   0.97241980 -5.355510e-13
## 649   2.1220516   2.13901658 -3.188817e-13
## 650   2.1220516   2.13901658 -3.188817e-13
## 651   2.1220516   2.13901658 -3.188817e-13
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## 653   2.1220516   2.13901658 -3.188817e-13
## 654   2.1220516   2.13901658 -3.188817e-13
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## 671  -0.1043331  -0.05899034 -3.923720e-13
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## 677  -3.5628403   3.12481451  7.595787e-13
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## 679  -3.5628403   3.12481451  7.595787e-13
## 680  -3.5628403   3.12481451  7.595787e-13
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## 682  -4.5701434   0.44380739  3.046376e-13
## 683  -4.5701434   0.44380739  3.046376e-13
## 684  -4.5701434   0.44380739  3.046376e-13
## 685  -4.5701434   0.44380739  3.046376e-13
## 686  -4.5701434   0.44380739  3.046376e-13
## 687  -4.5701434   0.44380739  3.046376e-13
## 688  -4.5701434   0.44380739  3.046376e-13
## 689   7.3904372   6.16449885 -1.541553e-13
## 690   7.3904372   6.16449885 -1.541553e-13
## 691   7.3904372   6.16449885 -1.541553e-13
## 692   7.3904372   6.16449885 -1.541553e-13
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## 695   7.3904372   6.16449885 -1.541553e-13
## 696   7.3904372   6.16449885 -1.541553e-13
## 697   3.1099016  -2.77068356  1.498253e-12
## 698   3.1099016  -2.77068356  1.498253e-12
## 699   3.1099016  -2.77068356  1.498253e-12
## 700   3.1099016  -2.77068356  1.498253e-12
## 701   3.1099016  -2.77068356  1.498253e-12
## 702   3.1099016  -2.77068356  1.498253e-12
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## 704   3.1099016  -2.77068356  1.498253e-12
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## 706  29.6197224 -26.88058048 -5.034342e-13
## 707  29.6197224 -26.88058048 -5.034342e-13
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## 709  29.6197224 -26.88058048 -5.034342e-13
## 710  29.6197224 -26.88058048 -5.034342e-13
## 711  29.6197224 -26.88058048 -5.034342e-13
## 712  29.6197224 -26.88058048 -5.034342e-13
## 713  -3.3832974   1.58322685 -7.471443e-13
## 714  -3.3832974   1.58322685 -7.471443e-13
## 715  -3.3832974   1.58322685 -7.471443e-13
## 716  -3.3832974   1.58322685 -7.471443e-13
## 717  -3.3832974   1.58322685 -7.471443e-13
## 718  -3.3832974   1.58322685 -7.471443e-13
## 719  -3.3832974   1.58322685 -7.471443e-13
## 720  -3.3832974   1.58322685 -7.471443e-13
## 721   5.2675274  -7.96908680 -5.768061e-13
## 722   5.2675274  -7.96908680 -5.768061e-13
## 723   5.2675274  -7.96908680 -5.768061e-13
## 724   5.2675274  -7.96908680 -5.768061e-13
## 725   5.2675274  -7.96908680 -5.768061e-13
## 726   5.2675274  -7.96908680 -5.768061e-13
## 727   5.2675274  -7.96908680 -5.768061e-13
## 728   5.2675274  -7.96908680 -5.768061e-13
## 729  -0.6960962   0.77149905 -4.338489e-13
## 730  -0.6960962   0.77149905 -4.338489e-13
## 731  -0.6960962   0.77149905 -4.338489e-13
## 732  -0.6960962   0.77149905 -4.338489e-13
## 733  -0.6960962   0.77149905 -4.338489e-13
## 734  -0.6960962   0.77149905 -4.338489e-13
## 735  -0.6960962   0.77149905 -4.338489e-13
## 736  -0.6960962   0.77149905 -4.338489e-13
## 737  -0.5374186  -0.48599595  1.443543e-13
## 738  -0.5374186  -0.48599595  1.443543e-13
## 739  -0.5374186  -0.48599595  1.443543e-13
## 740  -0.5374186  -0.48599595  1.443543e-13
## 741  -0.5374186  -0.48599595  1.443543e-13
## 742  -0.5374186  -0.48599595  1.443543e-13
## 743  -0.5374186  -0.48599595  1.443543e-13
## 744  -0.5374186  -0.48599595  1.443543e-13
## 745   1.7902693  -1.22572189 -4.398869e-13
## 746   1.7902693  -1.22572189 -4.398869e-13
## 747   1.7902693  -1.22572189 -4.398869e-13
## 748   1.7902693  -1.22572189 -4.398869e-13
## 749   1.7902693  -1.22572189 -4.398869e-13
## 750   1.7902693  -1.22572189 -4.398869e-13
## 751   1.7902693  -1.22572189 -4.398869e-13
## 752   1.7902693  -1.22572189 -4.398869e-13
## 753  -3.0758989  -2.66446819 -8.411070e-14
## 754  -3.0758989  -2.66446819 -8.411070e-14
## 755  -3.0758989  -2.66446819 -8.411070e-14
## 756  -3.0758989  -2.66446819 -8.411070e-14
## 757  -3.0758989  -2.66446819 -8.411070e-14
## 758  -3.0758989  -2.66446819 -8.411070e-14
## 759  -3.0758989  -2.66446819 -8.411070e-14
## 760  -3.0758989  -2.66446819 -8.411070e-14
## 761   0.4753363  -1.61446672 -1.938996e-13
## 762   0.4753363  -1.61446672 -1.938996e-13
## 763   0.4753363  -1.61446672 -1.938996e-13
## 764   0.4753363  -1.61446672 -1.938996e-13
## 765   0.4753363  -1.61446672 -1.938996e-13
## 766   0.4753363  -1.61446672 -1.938996e-13
## 767   0.4753363  -1.61446672 -1.938996e-13
## 768   0.4753363  -1.61446672 -1.938996e-13
## 769   8.1233752  -3.05817824 -2.146910e-13
## 770   8.1233752  -3.05817824 -2.146910e-13
## 771   8.1233752  -3.05817824 -2.146910e-13
## 772   8.1233752  -3.05817824 -2.146910e-13
## 773   8.1233752  -3.05817824 -2.146910e-13
## 774   8.1233752  -3.05817824 -2.146910e-13
## 775   8.1233752  -3.05817824 -2.146910e-13
## 776   8.1233752  -3.05817824 -2.146910e-13
## 777   1.6625783   1.06189815 -1.230368e-13
## 778   1.6625783   1.06189815 -1.230368e-13
## 779   1.6625783   1.06189815 -1.230368e-13
## 780   1.6625783   1.06189815 -1.230368e-13
## 781   1.6625783   1.06189815 -1.230368e-13
## 782   1.6625783   1.06189815 -1.230368e-13
## 783   1.6625783   1.06189815 -1.230368e-13
## 784   1.6625783   1.06189815 -1.230368e-13
## 785  -0.5498691  -0.49374838 -4.534064e-13
## 786  -0.5498691  -0.49374838 -4.534064e-13
## 787  -0.5498691  -0.49374838 -4.534064e-13
## 788  -0.5498691  -0.49374838 -4.534064e-13
## 789  -0.5498691  -0.49374838 -4.534064e-13
## 790  -0.5498691  -0.49374838 -4.534064e-13
## 791  -0.5498691  -0.49374838 -4.534064e-13
## 792  -0.5498691  -0.49374838 -4.534064e-13
## 793   1.5519610  -1.18302194  2.172642e-13
## 794   1.5519610  -1.18302194  2.172642e-13
## 795   1.5519610  -1.18302194  2.172642e-13
## 796   1.5519610  -1.18302194  2.172642e-13
## 797   1.5519610  -1.18302194  2.172642e-13
## 798   1.5519610  -1.18302194  2.172642e-13
## 799   1.5519610  -1.18302194  2.172642e-13
##  [ reached 'max' / getOption("max.print") -- omitted 48374 rows ]
# If feedback is continuous rather than categorical
ggplot(results_df_allsessions, aes(x = PC1_score, y = PC2_score, color = feedback)) +
  geom_point(alpha = 0.2) +
  #scale_color_gradient2(low = "blue", mid = "white", high = "red", midpoint = 0) +
  labs(title = "PC1 vs PC2 Colored by Feedback",
       x = "PC1 Score",
       y = "PC2 Score") +
  theme_minimal() + facet_wrap(~session)

I now want to see how these PCs may correlate with feedback score. I want to see if some PCs have a higher correlation with feedback than others. If some PCs have no correlation with feedback score, then we can ignore them from the prediction model.

# Assuming you have results_df_allsessions with PC scores and feedback variable

# 1. Calculate correlation between each PC and feedback
pc_feedback_correlation <- data.frame(
  PC = character(),
  Correlation = numeric(),
  P_Value = numeric()
)

# Check that feedback is numeric
if (!is.numeric(results_df_allsessions$feedback)) {
  results_df_allsessions$feedback_numeric <- as.numeric(as.character(results_df_allsessions$feedback))
} else {
  results_df_allsessions$feedback_numeric <- results_df_allsessions$feedback
}

# Calculate correlation for first 20 PCs (or however many you have)
max_pcs <- 20  # Adjust based on your data
for (i in 1:max_pcs) {
  pc_col <- paste0("PC", i, "_score")
  
  # Skip if this PC column doesn't exist
  if (!pc_col %in% colnames(results_df_allsessions)) next
  
  # Calculate correlation
  cor_test <- cor.test(results_df_allsessions[[pc_col]], 
                      results_df_allsessions$feedback_numeric,
                      use = "pairwise.complete.obs")
  
  # Add to results
  pc_feedback_correlation <- rbind(pc_feedback_correlation, data.frame(
    PC = paste0("PC", i),
    Correlation = cor_test$estimate,
    P_Value = cor_test$p.value
  ))
}

# Add significance indicator
pc_feedback_correlation$Significant <- pc_feedback_correlation$P_Value < 0.05

# Sort by absolute correlation strength
pc_feedback_correlation$Abs_Correlation <- abs(pc_feedback_correlation$Correlation)
pc_feedback_correlation <- pc_feedback_correlation[order(pc_feedback_correlation$Abs_Correlation, decreasing = TRUE), ]

# Print top PCs by correlation with feedback
print(pc_feedback_correlation)

# 2. Visualize correlations
library(ggplot2)

# Bar plot of correlations
ggplot(pc_feedback_correlation, aes(x = reorder(PC, Abs_Correlation), y = Correlation, fill = Significant)) +
  geom_bar(stat = "identity") +
  coord_flip() +
  scale_fill_manual(values = c("FALSE" = "gray", "TRUE" = "blue")) +
  labs(title = "Correlation Between Principal Components and Feedback",
       subtitle = "Sorted by correlation strength",
       x = "Principal Component",
       y = "Correlation with Feedback") +
  theme_minimal()

# 3. Create model to predict feedback from PCs
pc_columns <- paste0("PC", 1:max_pcs, "_score")
pc_columns <- pc_columns[pc_columns %in% colnames(results_df_allsessions)]

# First check what values are in your feedback variable
print("Feedback variable values:")
print(table(results_df_allsessions$feedback_numeric))

# Transform the feedback variable for logistic regression if needed
# Check if feedback is already 0/1
if (!all(results_df_allsessions$feedback_numeric %in% c(0, 1, NA))) {
  # If feedback is -1/1
  if (all(na.omit(results_df_allsessions$feedback_numeric) %in% c(-1, 1))) {
    results_df_allsessions$feedback_binary <- ifelse(results_df_allsessions$feedback_numeric == 1, 1, 0)
    cat("Transformed feedback from -1/1 to 0/1 for logistic regression\n")
  } else {
    # For other values, use a threshold approach
    results_df_allsessions$feedback_binary <- ifelse(results_df_allsessions$feedback_numeric > mean(results_df_allsessions$feedback_numeric, na.rm = TRUE), 1, 0)
    cat("Transformed feedback using mean threshold for logistic regression\n")
  }
} else {
  # Already binary
  results_df_allsessions$feedback_binary <- results_df_allsessions$feedback_numeric
  cat("Feedback already in 0/1 format\n")
}

# Create formula for logistic regression
formula_str <- paste("feedback_binary ~", paste(pc_columns, collapse = " + "))
formula_obj <- as.formula(formula_str)

# Try fitting logistic model
tryCatch({
  logistic_model <- glm(formula_obj, data = results_df_allsessions, family = "binomial")
  
  # Get summary
  model_summary <- summary(logistic_model)
  
  # Extract coefficients and p-values
  coef_data <- data.frame(
    PC = names(coef(logistic_model))[-1],  # Remove intercept
    Coefficient = coef(logistic_model)[-1],
    P_Value = model_summary$coefficients[-1, "Pr(>|z|)"]
  )
  
  # Sort by absolute coefficient size
  coef_data$Abs_Coefficient <- abs(coef_data$Coefficient)
  coef_data <- coef_data[order(coef_data$Abs_Coefficient, decreasing = TRUE), ]
  coef_data$Significant <- coef_data$P_Value < 0.05
  
  # Print top PCs by model coefficient
  cat("\nTop PCs by logistic regression coefficient:\n")
  print(coef_data)
}, error = function(e) {
  cat("Error in logistic regression:", e$message, "\n")
  cat("Falling back to linear model instead\n")
  
  # Use linear model instead
  linear_model <- lm(paste("feedback_numeric ~", paste(pc_columns, collapse = " + ")), 
                    data = results_df_allsessions)
  
  # Get summary
  model_summary <- summary(linear_model)
  
  # Extract coefficients and p-values
  coef_data <- data.frame(
    PC = names(coef(linear_model))[-1],  # Remove intercept
    Coefficient = coef(linear_model)[-1],
    P_Value = model_summary$coefficients[-1, "Pr(>|t|)"]
  )
  
  # Sort by absolute coefficient size
  coef_data$Abs_Coefficient <- abs(coef_data$Coefficient)
  coef_data <- coef_data[order(coef_data$Abs_Coefficient, decreasing = TRUE), ]
  coef_data$Significant <- coef_data$P_Value < 0.05
  
  # Print top PCs by model coefficient
  cat("\nTop PCs by linear model coefficient:\n")
  print(coef_data)
})

# 4. Visualize most important PCs (those with strongest correlation) against feedback
# Get top 4 PCs based on correlation
top_pcs <- pc_feedback_correlation$PC[1:min(4, nrow(pc_feedback_correlation))]
top_pc_cols <- paste0(top_pcs, "_score")

# Create scatter plots
for (pc_col in top_pc_cols) {
  p <- ggplot(results_df_allsessions, aes_string(x = pc_col, y = "feedback_numeric", color = "factor(feedback_numeric)")) +
    geom_jitter(width = 0, height = 0.05, alpha = 0.5) +
    # Using method = "lm" for linear fit that works with any feedback values
    geom_smooth(method = "lm", se = TRUE, color = "black") +
    labs(title = paste(pc_col, "vs Feedback"),
         subtitle = paste("Correlation:", 
                        round(pc_feedback_correlation$Correlation[pc_feedback_correlation$PC == gsub("_score", "", pc_col)], 3),
                        ", p-value:", 
                        round(pc_feedback_correlation$P_Value[pc_feedback_correlation$PC == gsub("_score", "", pc_col)], 4)),
         x = pc_col,
         y = "Feedback") +
    theme_minimal()
  
  print(p)
}

# 5. Compare variance explained vs correlation with feedback
pc_variance <- data.frame(
  PC = paste0("PC", 1:max_pcs),
  Variance_Explained = NA
)

# Add variance explained (from your summary_table if available)
for (i in 1:max_pcs) {
  pc_col <- paste0("PC", i, "_var")
  if (exists("summary_table") && pc_col %in% colnames(summary_table)) {
    pc_variance$Variance_Explained[i] <- mean(summary_table[[pc_col]], na.rm = TRUE)
  }
}

# Merge variance and correlation data
pc_comparison <- merge(pc_variance, pc_feedback_correlation, by = "PC", all = TRUE)

# Only include rows with both variance and correlation data
pc_comparison <- pc_comparison[!is.na(pc_comparison$Variance_Explained) & 
                             !is.na(pc_comparison$Correlation), ]

if (nrow(pc_comparison) > 0) {
  # Plot variance explained vs correlation strength
  ggplot(pc_comparison, aes(x = Variance_Explained, y = Abs_Correlation, color = Significant)) +
    geom_point(size = 3) +
    geom_text(aes(label = PC), vjust = -0.5, hjust = 0.5) +
    scale_color_manual(values = c("FALSE" = "gray", "TRUE" = "blue")) +
    labs(title = "PC Variance Explained vs Correlation with Feedback",
         x = "Variance Explained (%)",
         y = "Absolute Correlation with Feedback") +
    theme_minimal()
} else {
  cat("Not enough data to compare variance explained vs correlation\n")
}

# 6. Select the most behaviorally relevant PCs
# Combine results from correlation and regression
if (exists("coef_data")) {
  # Get top 5 PCs from correlation
  top_corr_pcs <- pc_feedback_correlation$PC[1:min(5, nrow(pc_feedback_correlation))]
  
  # Get top 5 PCs from regression model
  top_reg_pcs <- coef_data$PC[1:min(5, nrow(coef_data))]
  
  # Find PCs that appear in both lists
  common_pcs <- intersect(top_corr_pcs, top_reg_pcs)
  
  cat("\nMost behaviorally relevant PCs based on both correlation and regression:\n")
  print(common_pcs)
  
  cat("\nTop 5 PCs by correlation strength:\n")
  print(top_corr_pcs)
  
  cat("\nTop 5 PCs by regression coefficient:\n")
  print(top_reg_pcs)
}
# Calculate correlation between each PC and feedback for all 114 PCs
pc_feedback_correlation <- data.frame(
  PC = character(),
  Correlation = numeric(),
  P_Value = numeric()
)

# First, check if feedback is numeric and create feedback_numeric if needed
if (!exists("results_df_allsessions$feedback_numeric")) {
  # Create feedback_numeric from feedback
  if (is.factor(results_df_allsessions$feedback) || is.character(results_df_allsessions$feedback)) {
    results_df_allsessions$feedback_numeric <- as.numeric(as.character(results_df_allsessions$feedback))
  } else {
    results_df_allsessions$feedback_numeric <- as.numeric(results_df_allsessions$feedback)
  }
  
  # Check if conversion was successful
  if (any(is.na(results_df_allsessions$feedback_numeric)) && !any(is.na(results_df_allsessions$feedback))) {
    # If NAs were introduced, there was a conversion problem
    cat("Warning: Could not convert some feedback values to numeric\n")
  }
}

# Print info about the feedback variable
cat("Feedback variable type:", class(results_df_allsessions$feedback), "\n")
## Feedback variable type: factor
cat("Feedback_numeric variable type:", class(results_df_allsessions$feedback_numeric), "\n")
## Feedback_numeric variable type: numeric
cat("First few values:", head(results_df_allsessions$feedback_numeric), "\n")
## First few values: 1 1 1 1 1 1
# Set max_pcs to 114 to analyze all PCs
max_pcs <- 114  

# Loop through all PCs
for (i in 1:max_pcs) {
  pc_col <- paste0("PC", i, "_score")
  
  # Skip if this PC column doesn't exist
  if (!pc_col %in% colnames(results_df_allsessions)) next
  
  # Calculate correlation
  cor_test <- cor.test(results_df_allsessions[[pc_col]], 
                      results_df_allsessions$feedback_numeric,
                      use = "pairwise.complete.obs")
  
  # Add to results
  pc_feedback_correlation <- rbind(pc_feedback_correlation, data.frame(
    PC = paste0("PC", i),
    Correlation = cor_test$estimate,
    P_Value = cor_test$p.value
  ))
}

# Add significance indicator
pc_feedback_correlation$Significant <- pc_feedback_correlation$P_Value < 0.05

# Sort by absolute correlation strength
pc_feedback_correlation$Abs_Correlation <- abs(pc_feedback_correlation$Correlation)
pc_feedback_correlation <- pc_feedback_correlation[order(pc_feedback_correlation$Abs_Correlation, decreasing = TRUE), ]

# Print all rows with no row limit
print(head(pc_feedback_correlation, n = nrow(pc_feedback_correlation)))
##           PC   Correlation      P_Value Significant Abs_Correlation
## cor106 PC107  0.0707126347 4.850112e-23        TRUE    0.0707126347
## cor3     PC4 -0.0628300584 1.627448e-18        TRUE    0.0628300584
## cor111 PC112  0.0514858800 6.346886e-13        TRUE    0.0514858800
## cor6     PC7  0.0499925280 2.870519e-12        TRUE    0.0499925280
## cor      PC1 -0.0426556375 2.554235e-09        TRUE    0.0426556375
## cor65   PC66 -0.0426334494 2.603154e-09        TRUE    0.0426334494
## cor39   PC40  0.0402619921 1.873049e-08        TRUE    0.0402619921
## cor103 PC104 -0.0391080156 4.707041e-08        TRUE    0.0391080156
## cor34   PC35  0.0386127678 6.936226e-08        TRUE    0.0386127678
## cor84   PC85  0.0379433574 1.162763e-07        TRUE    0.0379433574
## cor40   PC41  0.0373258888 1.858540e-07        TRUE    0.0373258888
## cor32   PC33  0.0372487963 1.969614e-07        TRUE    0.0372487963
## cor95   PC96 -0.0370465145 2.292422e-07        TRUE    0.0370465145
## cor36   PC37 -0.0363129022 3.949247e-07        TRUE    0.0363129022
## cor107 PC108  0.0356487338 6.405511e-07        TRUE    0.0356487338
## cor90   PC91 -0.0352515831 8.519579e-07        TRUE    0.0352515831
## cor75   PC76 -0.0346542402 1.301007e-06        TRUE    0.0346542402
## cor4     PC5  0.0332871801 3.342334e-06        TRUE    0.0332871801
## cor101 PC102 -0.0329188352 4.283936e-06        TRUE    0.0329188352
## cor15   PC16  0.0329066531 4.319057e-06        TRUE    0.0329066531
## cor105 PC106 -0.0327693862 4.734363e-06        TRUE    0.0327693862
## cor97   PC98 -0.0327592862 4.766387e-06        TRUE    0.0327592862
## cor2     PC3  0.0326803804 5.023810e-06        TRUE    0.0326803804
## cor27   PC28  0.0308354973 1.662119e-05        TRUE    0.0308354973
## cor60   PC61 -0.0291731410 4.625490e-05        TRUE    0.0291731410
## cor110 PC111 -0.0274771533 1.246156e-04        TRUE    0.0274771533
## cor54   PC55 -0.0268680564 1.755840e-04        TRUE    0.0268680564
## cor49   PC50 -0.0260556410 2.744470e-04        TRUE    0.0260556410
## cor37   PC38 -0.0254594591 3.779486e-04        TRUE    0.0254594591
## cor71   PC72 -0.0251507778 4.449071e-04        TRUE    0.0251507778
## cor77   PC78 -0.0248888682 5.102404e-04        TRUE    0.0248888682
## cor47   PC48  0.0247640257 5.444348e-04        TRUE    0.0247640257
## cor66   PC67  0.0244353803 6.449266e-04        TRUE    0.0244353803
## cor64   PC65 -0.0239599020 8.211388e-04        TRUE    0.0239599020
## cor48   PC49  0.0228185901 1.441734e-03        TRUE    0.0228185901
## cor21   PC22  0.0218614142 2.269591e-03        TRUE    0.0218614142
## cor99  PC100  0.0213787991 2.835067e-03        TRUE    0.0213787991
## cor29   PC30  0.0203185580 4.553867e-03        TRUE    0.0203185580
## cor63   PC64 -0.0194666014 6.567229e-03        TRUE    0.0194666014
## cor58   PC59  0.0194166781 6.706928e-03        TRUE    0.0194166781
## cor33   PC34  0.0193069874 7.023296e-03        TRUE    0.0193069874
## cor56   PC57 -0.0191954656 7.358620e-03        TRUE    0.0191954656
## cor57   PC58 -0.0185498728 9.597399e-03        TRUE    0.0185498728
## cor35   PC36  0.0184414115 1.002805e-02        TRUE    0.0184414115
## cor69   PC70  0.0179916172 1.200327e-02        TRUE    0.0179916172
## cor76   PC77  0.0176602157 1.367192e-02        TRUE    0.0176602157
## cor13   PC14  0.0166407264 2.015739e-02        TRUE    0.0166407264
## cor72   PC73  0.0164622889 2.153402e-02        TRUE    0.0164622889
## cor22   PC23 -0.0160306561 2.520703e-02        TRUE    0.0160306561
## cor43   PC44  0.0156674277 2.870644e-02        TRUE    0.0156674277
## cor7     PC8  0.0150139997 3.605983e-02        TRUE    0.0150139997
## cor100 PC101  0.0144740954 4.329398e-02        TRUE    0.0144740954
## cor112 PC113 -0.0143892886 4.453493e-02        TRUE    0.0143892886
## cor83   PC84 -0.0138113921 5.381440e-02       FALSE    0.0138113921
## cor59   PC60 -0.0137125813 5.555242e-02       FALSE    0.0137125813
## cor14   PC15  0.0136697784 5.631968e-02       FALSE    0.0136697784
## cor44   PC45 -0.0136099495 5.740691e-02       FALSE    0.0136099495
## cor78   PC79  0.0131397118 6.657386e-02       FALSE    0.0131397118
## cor11   PC12 -0.0130709388 6.801048e-02       FALSE    0.0130709388
## cor70   PC71  0.0130697122 6.803633e-02       FALSE    0.0130697122
## cor55   PC56 -0.0129835151 6.987341e-02       FALSE    0.0129835151
## cor25   PC26 -0.0128327169 7.318511e-02       FALSE    0.0128327169
## cor102 PC103 -0.0123288283 8.519326e-02       FALSE    0.0123288283
## cor28   PC29  0.0120146073 9.345580e-02       FALSE    0.0120146073
## cor30   PC31 -0.0117871418 9.982901e-02       FALSE    0.0117871418
## cor17   PC18 -0.0112715546 1.155582e-01       FALSE    0.0112715546
## cor61   PC62  0.0107824824 1.322194e-01       FALSE    0.0107824824
## cor92   PC93  0.0106747374 1.361287e-01       FALSE    0.0106747374
## cor45   PC46  0.0106589437 1.367091e-01       FALSE    0.0106589437
## cor12   PC13  0.0106518114 1.369719e-01       FALSE    0.0106518114
## cor94   PC95  0.0104038805 1.463500e-01       FALSE    0.0104038805
## cor68   PC69  0.0096822201 1.764440e-01       FALSE    0.0096822201
## cor38   PC39  0.0094887263 1.852476e-01       FALSE    0.0094887263
## cor50   PC51  0.0093903028 1.898485e-01       FALSE    0.0093903028
## cor86   PC87 -0.0088453557 2.168522e-01       FALSE    0.0088453557
## cor113 PC114  0.0087515050 2.217688e-01       FALSE    0.0087515050
## cor67   PC68 -0.0083837194 2.418046e-01       FALSE    0.0083837194
## cor24   PC25 -0.0077112537 2.816593e-01       FALSE    0.0077112537
## cor62   PC63  0.0068502987 3.388728e-01       FALSE    0.0068502987
## cor16   PC17  0.0068097737 3.417380e-01       FALSE    0.0068097737
## cor109 PC110 -0.0067244381 3.478218e-01       FALSE    0.0067244381
## cor104 PC105 -0.0064251423 3.696997e-01       FALSE    0.0064251423
## cor41   PC42  0.0063823615 3.728953e-01       FALSE    0.0063823615
## cor93   PC94 -0.0062487208 3.829876e-01       FALSE    0.0062487208
## cor88   PC89 -0.0061743147 3.886785e-01       FALSE    0.0061743147
## cor80   PC81 -0.0061505260 3.905087e-01       FALSE    0.0061505260
## cor96   PC97  0.0061040637 3.940985e-01       FALSE    0.0061040637
## cor79   PC80 -0.0059735926 4.042852e-01       FALSE    0.0059735926
## cor10   PC11 -0.0058308494 4.156087e-01       FALSE    0.0058308494
## cor42   PC43  0.0058027422 4.178603e-01       FALSE    0.0058027422
## cor73   PC74  0.0054392960 4.476155e-01       FALSE    0.0054392960
## cor108 PC109  0.0053793666 4.526350e-01       FALSE    0.0053793666
## cor52   PC53 -0.0053265029 4.570890e-01       FALSE    0.0053265029
## cor46   PC47  0.0049316630 4.911233e-01       FALSE    0.0049316630
## cor82   PC83 -0.0048416096 4.990720e-01       FALSE    0.0048416096
## cor85   PC86  0.0047742621 5.050610e-01       FALSE    0.0047742621
## cor26   PC27  0.0047298474 5.090312e-01       FALSE    0.0047298474
## cor5     PC6  0.0044402552 5.353132e-01       FALSE    0.0044402552
## cor20   PC21 -0.0044376066 5.355567e-01       FALSE    0.0044376066
## cor51   PC52 -0.0038660240 5.893728e-01       FALSE    0.0038660240
## cor8     PC9 -0.0038484585 5.910654e-01       FALSE    0.0038484585
## cor53   PC54 -0.0038354728 5.923181e-01       FALSE    0.0038354728
## cor18   PC19  0.0038238157 5.934437e-01       FALSE    0.0038238157
## cor19   PC20  0.0034366427 6.313711e-01       FALSE    0.0034366427
## cor98   PC99  0.0031004347 6.651173e-01       FALSE    0.0031004347
## cor23   PC24  0.0030468614 6.705602e-01       FALSE    0.0030468614
## cor81   PC82  0.0029266331 6.828377e-01       FALSE    0.0029266331
## cor1     PC2 -0.0028767470 6.879570e-01       FALSE    0.0028767470
## cor89   PC90  0.0023941362 7.381905e-01       FALSE    0.0023941362
## cor91   PC92 -0.0022653948 7.517926e-01       FALSE    0.0022653948
## cor31   PC32  0.0011359781 8.739870e-01       FALSE    0.0011359781
## cor9    PC10 -0.0009296276 8.967348e-01       FALSE    0.0009296276
## cor87   PC88 -0.0008519354 9.053226e-01       FALSE    0.0008519354
## cor74   PC75 -0.0001560067 9.826231e-01       FALSE    0.0001560067

This table demonstrates that some PCs have no correlation with feedback, either positively or negatively. The column “Significant” was determined by comparing the P-value of a Pearson Correlation Test to a cutoff value of 0.05. If the p-value of the correlation test was above 0.05, then it was concluded to have no significant correlation with feedback score, and thus does not need to be in our prediction model.

I will now alter the dataframe I will be using for prediction to only have columns for PCs that have a signficant correlation with feedback, as I will only use these in my prediction model. There is no use to include PCs that have no ability to predict feedback score.

# Assuming pc_feedback_correlation has your correlation results
# Get the names of PCs that are significantly correlated with feedback
significant_pcs <- pc_feedback_correlation$PC[pc_feedback_correlation$Significant == TRUE]

# Convert PC names to column names in your dataframe (adding "_score" suffix)
significant_pc_cols <- paste0(significant_pcs, "_score")

# Get names of all columns that aren't PC score columns
non_pc_cols <- colnames(results_df_allsessions)[!grepl("PC\\d+_score", colnames(results_df_allsessions))]

# Create a vector of columns to keep (non-PC columns plus significant PC columns)
cols_to_keep <- c(non_pc_cols, significant_pc_cols)

# Subset the dataframe to keep only those columns
results_df_allsessions_significant <- results_df_allsessions[, cols_to_keep]

# Check the dimensions of the new dataframe
cat("Original dataframe dimensions:", dim(results_df_allsessions), "\n")
## Original dataframe dimensions: 49173 126
cat("New dataframe with only significant PCs:", dim(results_df_allsessions_significant), "\n")
## New dataframe with only significant PCs: 49173 65
cat("Number of significant PCs:", length(significant_pcs), "\n")
## Number of significant PCs: 53
# Preview the column names of the new dataframe
cat("\nFirst few columns of the new dataframe:\n")
## 
## First few columns of the new dataframe:
print(head(colnames(results_df_allsessions_significant)))
## [1] "session"         "trial"           "brain_area"      "avg_spike_count"
## [5] "mousename"       "feedback"
results_df_allsessions_significant
##      session trial brain_area avg_spike_count mousename feedback rightcontrast
## 1          1     1        ACA       1.2660550      Cori        1          0.50
## 2          1     1       VISp       1.6853933      Cori        1          0.50
## 3          1     1       root       0.5000000      Cori        1          0.50
## 4          1     1         LS       1.9352518      Cori        1          0.50
## 5          1     1        MOs       0.9380531      Cori        1          0.50
## 6          1     1        CA3       1.5294118      Cori        1          0.50
## 7          1     1         DG       2.3235294      Cori        1          0.50
## 8          1     1        SUB       2.0800000      Cori        1          0.50
## 9          1     2         LS       1.3669065      Cori        1          0.00
## 10         1     2         DG       1.5588235      Cori        1          0.00
## 11         1     2       VISp       1.6516854      Cori        1          0.00
## 12         1     2        SUB       1.9466667      Cori        1          0.00
## 13         1     2        ACA       0.5871560      Cori        1          0.00
## 14         1     2       root       0.6666667      Cori        1          0.00
## 15         1     2        MOs       0.7787611      Cori        1          0.00
## 16         1     2        CA3       1.7058824      Cori        1          0.00
## 17         1     3        CA3       1.9852941      Cori       -1          1.00
## 18         1     3        MOs       0.9203540      Cori       -1          1.00
## 19         1     3         DG       3.4117647      Cori       -1          1.00
## 20         1     3        ACA       1.1926606      Cori       -1          1.00
## 21         1     3        SUB       2.6400000      Cori       -1          1.00
## 22         1     3       root       1.4444444      Cori       -1          1.00
## 23         1     3       VISp       2.2752809      Cori       -1          1.00
## 24         1     3         LS       1.7266187      Cori       -1          1.00
## 25         1     4        ACA       0.5137615      Cori       -1          0.00
## 26         1     4         LS       1.0575540      Cori       -1          0.00
## 27         1     4        SUB       2.8000000      Cori       -1          0.00
## 28         1     4       root       1.0555556      Cori       -1          0.00
## 29         1     4        MOs       0.7079646      Cori       -1          0.00
## 30         1     4       VISp       1.5617978      Cori       -1          0.00
## 31         1     4         DG       2.2058824      Cori       -1          0.00
## 32         1     4        CA3       2.1911765      Cori       -1          0.00
## 33         1     5         DG       2.0588235      Cori       -1          0.00
## 34         1     5        CA3       1.8088235      Cori       -1          0.00
## 35         1     5        SUB       2.6133333      Cori       -1          0.00
## 36         1     5       root       0.7777778      Cori       -1          0.00
## 37         1     5        ACA       0.7706422      Cori       -1          0.00
## 38         1     5       VISp       1.6235955      Cori       -1          0.00
## 39         1     5         LS       1.3021583      Cori       -1          0.00
## 40         1     5        MOs       0.7876106      Cori       -1          0.00
## 41         1     6         DG       1.0588235      Cori        1          0.00
## 42         1     6       VISp       1.2808989      Cori        1          0.00
## 43         1     6        ACA       0.4587156      Cori        1          0.00
## 44         1     6        MOs       0.7345133      Cori        1          0.00
## 45         1     6         LS       0.9064748      Cori        1          0.00
## 46         1     6       root       0.6111111      Cori        1          0.00
## 47         1     6        SUB       1.9066667      Cori        1          0.00
## 48         1     6        CA3       1.8529412      Cori        1          0.00
## 49         1     7         LS       1.8633094      Cori        1          0.50
## 50         1     7        ACA       1.2201835      Cori        1          0.50
## 51         1     7       root       2.2222222      Cori        1          0.50
## 52         1     7        MOs       0.9292035      Cori        1          0.50
## 53         1     7         DG       2.8823529      Cori        1          0.50
## 54         1     7        CA3       2.5294118      Cori        1          0.50
## 55         1     7        SUB       3.3200000      Cori        1          0.50
## 56         1     7       VISp       2.7359551      Cori        1          0.50
## 57         1     8         DG       2.0000000      Cori        1          0.00
## 58         1     8        SUB       2.8933333      Cori        1          0.00
## 59         1     8        CA3       1.9705882      Cori        1          0.00
## 60         1     8       VISp       2.2640449      Cori        1          0.00
## 61         1     8         LS       1.4748201      Cori        1          0.00
## 62         1     8       root       1.1666667      Cori        1          0.00
## 63         1     8        ACA       1.0550459      Cori        1          0.00
## 64         1     8        MOs       0.7787611      Cori        1          0.00
## 65         1     9         LS       1.3165468      Cori        1          0.00
## 66         1     9        CA3       2.2058824      Cori        1          0.00
## 67         1     9       root       0.9444444      Cori        1          0.00
## 68         1     9        ACA       0.7339450      Cori        1          0.00
## 69         1     9        MOs       0.6548673      Cori        1          0.00
## 70         1     9        SUB       2.9733333      Cori        1          0.00
## 71         1     9       VISp       1.7640449      Cori        1          0.00
## 72         1     9         DG       1.9705882      Cori        1          0.00
## 73         1    10       VISp       1.9325843      Cori        1          0.25
## 74         1    10       root       1.3888889      Cori        1          0.25
## 75         1    10         LS       1.8633094      Cori        1          0.25
## 76         1    10        SUB       2.0800000      Cori        1          0.25
## 77         1    10        MOs       1.0265487      Cori        1          0.25
## 78         1    10        CA3       2.1617647      Cori        1          0.25
## 79         1    10         DG       2.4117647      Cori        1          0.25
## 80         1    10        ACA       1.3027523      Cori        1          0.25
## 81         1    11        ACA       1.1467890      Cori        1          0.00
## 82         1    11         LS       1.5323741      Cori        1          0.00
## 83         1    11        MOs       0.9646018      Cori        1          0.00
## 84         1    11       root       1.0555556      Cori        1          0.00
## 85         1    11        CA3       1.6764706      Cori        1          0.00
## 86         1    11         DG       2.2352941      Cori        1          0.00
## 87         1    11        SUB       2.1333333      Cori        1          0.00
## 88         1    11       VISp       1.6179775      Cori        1          0.00
## 89         1    12        MOs       1.1327434      Cori        1          1.00
## 90         1    12       VISp       1.9382022      Cori        1          1.00
## 91         1    12         LS       2.2302158      Cori        1          1.00
## 92         1    12        SUB       2.2400000      Cori        1          1.00
## 93         1    12        CA3       2.3382353      Cori        1          1.00
## 94         1    12       root       1.0555556      Cori        1          1.00
## 95         1    12        ACA       1.5229358      Cori        1          1.00
## 96         1    12         DG       3.0294118      Cori        1          1.00
## 97         1    13         DG       3.1470588      Cori       -1          1.00
## 98         1    13         LS       1.7913669      Cori       -1          1.00
## 99         1    13        SUB       2.3600000      Cori       -1          1.00
## 100        1    13        MOs       0.8672566      Cori       -1          1.00
## 101        1    13        CA3       2.2352941      Cori       -1          1.00
## 102        1    13       VISp       2.0112360      Cori       -1          1.00
## 103        1    13       root       1.6111111      Cori       -1          1.00
## 104        1    13        ACA       1.1467890      Cori       -1          1.00
## 105        1    14         LS       1.4460432      Cori       -1          0.00
## 106        1    14         DG       1.8823529      Cori       -1          0.00
## 107        1    14        SUB       2.4666667      Cori       -1          0.00
## 108        1    14        ACA       0.9082569      Cori       -1          0.00
## 109        1    14       VISp       1.6460674      Cori       -1          0.00
## 110        1    14        CA3       1.7352941      Cori       -1          0.00
## 111        1    14        MOs       0.8230088      Cori       -1          0.00
## 112        1    14       root       1.0000000      Cori       -1          0.00
## 113        1    15         DG       2.4411765      Cori       -1          0.00
## 114        1    15       VISp       2.0000000      Cori       -1          0.00
## 115        1    15        SUB       3.3200000      Cori       -1          0.00
## 116        1    15        ACA       0.6880734      Cori       -1          0.00
## 117        1    15        CA3       2.1911765      Cori       -1          0.00
## 118        1    15        MOs       1.0353982      Cori       -1          0.00
## 119        1    15       root       0.7222222      Cori       -1          0.00
## 120        1    15         LS       1.6043165      Cori       -1          0.00
## 121        1    16        ACA       0.8532110      Cori       -1          0.00
## 122        1    16         DG       2.4411765      Cori       -1          0.00
## 123        1    16       root       0.3888889      Cori       -1          0.00
## 124        1    16       VISp       1.6460674      Cori       -1          0.00
## 125        1    16         LS       1.3884892      Cori       -1          0.00
## 126        1    16        SUB       2.2400000      Cori       -1          0.00
## 127        1    16        CA3       1.4264706      Cori       -1          0.00
## 128        1    16        MOs       0.7522124      Cori       -1          0.00
## 129        1    17       VISp       1.7247191      Cori        1          0.00
## 130        1    17       root       0.7777778      Cori        1          0.00
## 131        1    17         LS       1.0000000      Cori        1          0.00
## 132        1    17         DG       1.8529412      Cori        1          0.00
## 133        1    17        MOs       0.6637168      Cori        1          0.00
## 134        1    17        CA3       2.3823529      Cori        1          0.00
## 135        1    17        SUB       2.5866667      Cori        1          0.00
## 136        1    17        ACA       0.4311927      Cori        1          0.00
## 137        1    18         DG       3.1470588      Cori        1          0.50
## 138        1    18        ACA       1.7064220      Cori        1          0.50
## 139        1    18        CA3       2.2647059      Cori        1          0.50
## 140        1    18       VISp       2.2584270      Cori        1          0.50
## 141        1    18       root       1.7222222      Cori        1          0.50
## 142        1    18         LS       2.2302158      Cori        1          0.50
## 143        1    18        MOs       1.0530973      Cori        1          0.50
## 144        1    18        SUB       2.6533333      Cori        1          0.50
## 145        1    19        CA3       2.4705882      Cori        1          0.25
## 146        1    19         LS       1.6187050      Cori        1          0.25
## 147        1    19       root       1.6666667      Cori        1          0.25
## 148        1    19        ACA       1.2293578      Cori        1          0.25
## 149        1    19        MOs       0.9203540      Cori        1          0.25
## 150        1    19         DG       3.2941176      Cori        1          0.25
## 151        1    19        SUB       2.8933333      Cori        1          0.25
## 152        1    19       VISp       2.3595506      Cori        1          0.25
## 153        1    20        MOs       1.1327434      Cori        1          1.00
## 154        1    20         DG       2.7941176      Cori        1          1.00
## 155        1    20         LS       2.1654676      Cori        1          1.00
## 156        1    20       root       1.3333333      Cori        1          1.00
## 157        1    20       VISp       2.4831461      Cori        1          1.00
## 158        1    20        CA3       2.4117647      Cori        1          1.00
## 159        1    20        SUB       3.0533333      Cori        1          1.00
## 160        1    20        ACA       1.4862385      Cori        1          1.00
## 161        1    21        MOs       0.6017699      Cori        1          0.00
## 162        1    21        SUB       2.4400000      Cori        1          0.00
## 163        1    21       VISp       1.5674157      Cori        1          0.00
## 164        1    21        ACA       0.5504587      Cori        1          0.00
## 165        1    21        CA3       2.1176471      Cori        1          0.00
## 166        1    21       root       0.4444444      Cori        1          0.00
## 167        1    21         DG       0.8823529      Cori        1          0.00
## 168        1    21         LS       1.3381295      Cori        1          0.00
## 169        1    22        CA3       1.5000000      Cori       -1          0.50
## 170        1    22        SUB       1.6133333      Cori       -1          0.50
## 171        1    22         DG       1.9705882      Cori       -1          0.50
## 172        1    22         LS       1.4388489      Cori       -1          0.50
## 173        1    22       VISp       1.3314607      Cori       -1          0.50
## 174        1    22        MOs       0.8230088      Cori       -1          0.50
## 175        1    22       root       0.4444444      Cori       -1          0.50
## 176        1    22        ACA       0.8623853      Cori       -1          0.50
## 177        1    23        CA3       1.7647059      Cori       -1          0.00
## 178        1    23         LS       1.4532374      Cori       -1          0.00
## 179        1    23        SUB       2.1733333      Cori       -1          0.00
## 180        1    23       root       0.6111111      Cori       -1          0.00
## 181        1    23        ACA       0.8348624      Cori       -1          0.00
## 182        1    23        MOs       0.7610619      Cori       -1          0.00
## 183        1    23       VISp       1.4719101      Cori       -1          0.00
## 184        1    23         DG       1.5882353      Cori       -1          0.00
## 185        1    24        CA3       2.3823529      Cori        1          0.00
## 186        1    24        ACA       0.7247706      Cori        1          0.00
## 187        1    24        MOs       0.7787611      Cori        1          0.00
## 188        1    24        SUB       3.2666667      Cori        1          0.00
## 189        1    24         DG       2.2647059      Cori        1          0.00
## 190        1    24         LS       0.9568345      Cori        1          0.00
## 191        1    24       root       1.0555556      Cori        1          0.00
## 192        1    24       VISp       2.0730337      Cori        1          0.00
## 193        1    25        MOs       1.0530973      Cori        1          0.25
## 194        1    25       root       0.8888889      Cori        1          0.25
## 195        1    25         DG       2.6470588      Cori        1          0.25
## 196        1    25        SUB       2.4266667      Cori        1          0.25
## 197        1    25        CA3       1.7647059      Cori        1          0.25
## 198        1    25        ACA       1.2201835      Cori        1          0.25
## 199        1    25         LS       1.7697842      Cori        1          0.25
## 200        1    25       VISp       1.8258427      Cori        1          0.25
## 201        1    26       VISp       2.2528090      Cori        1          0.25
## 202        1    26        SUB       2.7200000      Cori        1          0.25
## 203        1    26       root       1.1111111      Cori        1          0.25
## 204        1    26         DG       2.9705882      Cori        1          0.25
## 205        1    26        ACA       1.4311927      Cori        1          0.25
## 206        1    26        MOs       1.1061947      Cori        1          0.25
## 207        1    26        CA3       2.3676471      Cori        1          0.25
## 208        1    26         LS       1.9496403      Cori        1          0.25
## 209        1    27       root       0.9444444      Cori        1          0.50
## 210        1    27         LS       1.9784173      Cori        1          0.50
## 211        1    27        CA3       2.1764706      Cori        1          0.50
## 212        1    27        MOs       0.9115044      Cori        1          0.50
## 213        1    27       VISp       2.4438202      Cori        1          0.50
## 214        1    27        ACA       1.3577982      Cori        1          0.50
## 215        1    27         DG       3.4411765      Cori        1          0.50
## 216        1    27        SUB       2.4400000      Cori        1          0.50
## 217        1    28        ACA       1.4220183      Cori       -1          0.00
## 218        1    28        SUB       3.3333333      Cori       -1          0.00
## 219        1    28         LS       1.9136691      Cori       -1          0.00
## 220        1    28        CA3       3.3676471      Cori       -1          0.00
## 221        1    28         DG       4.2941176      Cori       -1          0.00
## 222        1    28       VISp       2.9382022      Cori       -1          0.00
## 223        1    28        MOs       1.1415929      Cori       -1          0.00
## 224        1    28       root       1.0555556      Cori       -1          0.00
## 225        1    29        SUB       2.0400000      Cori        1          0.00
## 226        1    29       VISp       1.2528090      Cori        1          0.00
## 227        1    29        MOs       0.7345133      Cori        1          0.00
## 228        1    29        CA3       1.8970588      Cori        1          0.00
## 229        1    29         LS       0.9424460      Cori        1          0.00
## 230        1    29       root       0.3333333      Cori        1          0.00
## 231        1    29         DG       0.8529412      Cori        1          0.00
## 232        1    29        ACA       0.4678899      Cori        1          0.00
## 233        1    30        MOs       0.9026549      Cori        1          0.50
## 234        1    30         LS       1.8417266      Cori        1          0.50
## 235        1    30       root       1.5555556      Cori        1          0.50
## 236        1    30         DG       3.6764706      Cori        1          0.50
## 237        1    30        SUB       2.6933333      Cori        1          0.50
## 238        1    30       VISp       2.2134831      Cori        1          0.50
## 239        1    30        ACA       1.4128440      Cori        1          0.50
## 240        1    30        CA3       1.9558824      Cori        1          0.50
## 241        1    31         LS       1.5395683      Cori        1          0.00
## 242        1    31        CA3       2.1911765      Cori        1          0.00
## 243        1    31        ACA       1.1651376      Cori        1          0.00
## 244        1    31        MOs       1.0353982      Cori        1          0.00
## 245        1    31       root       1.3333333      Cori        1          0.00
## 246        1    31        SUB       2.3733333      Cori        1          0.00
## 247        1    31         DG       2.5000000      Cori        1          0.00
## 248        1    31       VISp       2.0112360      Cori        1          0.00
## 249        1    32       root       0.4444444      Cori       -1          0.00
## 250        1    32        ACA       0.6055046      Cori       -1          0.00
## 251        1    32        MOs       0.7610619      Cori       -1          0.00
## 252        1    32       VISp       1.6797753      Cori       -1          0.00
## 253        1    32         LS       1.1294964      Cori       -1          0.00
## 254        1    32         DG       1.2647059      Cori       -1          0.00
## 255        1    32        SUB       2.4666667      Cori       -1          0.00
## 256        1    32        CA3       2.0147059      Cori       -1          0.00
## 257        1    33         DG       1.2941176      Cori        1          0.00
## 258        1    33        MOs       0.7168142      Cori        1          0.00
## 259        1    33       root       0.5555556      Cori        1          0.00
## 260        1    33       VISp       1.3314607      Cori        1          0.00
## 261        1    33        CA3       2.1617647      Cori        1          0.00
## 262        1    33        ACA       0.6880734      Cori        1          0.00
## 263        1    33         LS       1.1942446      Cori        1          0.00
## 264        1    33        SUB       2.2266667      Cori        1          0.00
## 265        1    34        MOs       1.0176991      Cori        1          0.50
## 266        1    34       VISp       2.1123596      Cori        1          0.50
## 267        1    34         LS       1.7985612      Cori        1          0.50
## 268        1    34        CA3       2.2205882      Cori        1          0.50
## 269        1    34       root       0.6111111      Cori        1          0.50
## 270        1    34         DG       2.1176471      Cori        1          0.50
## 271        1    34        SUB       2.2266667      Cori        1          0.50
## 272        1    34        ACA       1.2110092      Cori        1          0.50
## 273        1    35       root       1.3333333      Cori        1          0.25
## 274        1    35        MOs       1.0619469      Cori        1          0.25
## 275        1    35       VISp       2.1348315      Cori        1          0.25
## 276        1    35         DG       2.7941176      Cori        1          0.25
## 277        1    35        SUB       2.7733333      Cori        1          0.25
## 278        1    35        CA3       2.3676471      Cori        1          0.25
## 279        1    35        ACA       1.2752294      Cori        1          0.25
## 280        1    35         LS       1.7553957      Cori        1          0.25
## 281        1    36        ACA       1.3761468      Cori        1          1.00
## 282        1    36       VISp       2.0280899      Cori        1          1.00
## 283        1    36        CA3       2.4705882      Cori        1          1.00
## 284        1    36         LS       1.7769784      Cori        1          1.00
## 285        1    36        SUB       2.5200000      Cori        1          1.00
## 286        1    36        MOs       1.0619469      Cori        1          1.00
## 287        1    36         DG       2.8529412      Cori        1          1.00
## 288        1    36       root       1.6111111      Cori        1          1.00
## 289        1    37         DG       2.2058824      Cori        1          0.50
## 290        1    37        CA3       1.7647059      Cori        1          0.50
## 291        1    37       root       0.8888889      Cori        1          0.50
## 292        1    37       VISp       1.6235955      Cori        1          0.50
## 293        1    37        SUB       2.4000000      Cori        1          0.50
## 294        1    37        ACA       1.1651376      Cori        1          0.50
## 295        1    37         LS       1.5899281      Cori        1          0.50
## 296        1    37        MOs       0.9557522      Cori        1          0.50
## 297        1    38         DG       2.3235294      Cori        1          1.00
## 298        1    38        CA3       1.9558824      Cori        1          1.00
## 299        1    38       VISp       1.5337079      Cori        1          1.00
## 300        1    38       root       1.3333333      Cori        1          1.00
## 301        1    38         LS       1.5251799      Cori        1          1.00
## 302        1    38        SUB       2.3066667      Cori        1          1.00
## 303        1    38        ACA       1.0275229      Cori        1          1.00
## 304        1    38        MOs       0.9203540      Cori        1          1.00
## 305        1    39       VISp       1.3707865      Cori        1          0.00
## 306        1    39        ACA       0.4495413      Cori        1          0.00
## 307        1    39         DG       1.0000000      Cori        1          0.00
## 308        1    39        SUB       2.1466667      Cori        1          0.00
## 309        1    39         LS       0.8201439      Cori        1          0.00
## 310        1    39       root       0.5555556      Cori        1          0.00
## 311        1    39        CA3       2.1911765      Cori        1          0.00
## 312        1    39        MOs       0.5840708      Cori        1          0.00
## 313        1    40       VISp       2.0056180      Cori        1          0.00
## 314        1    40         LS       1.6834532      Cori        1          0.00
## 315        1    40        SUB       2.5066667      Cori        1          0.00
## 316        1    40       root       1.3888889      Cori        1          0.00
## 317        1    40        CA3       2.5294118      Cori        1          0.00
## 318        1    40        ACA       1.3211009      Cori        1          0.00
## 319        1    40         DG       2.9117647      Cori        1          0.00
## 320        1    40        MOs       1.0707965      Cori        1          0.00
## 321        1    41         DG       2.3235294      Cori        1          0.50
## 322        1    41        MOs       0.9911504      Cori        1          0.50
## 323        1    41       VISp       2.0280899      Cori        1          0.50
## 324        1    41        SUB       2.6800000      Cori        1          0.50
## 325        1    41       root       1.2222222      Cori        1          0.50
## 326        1    41        CA3       2.1323529      Cori        1          0.50
## 327        1    41         LS       1.7553957      Cori        1          0.50
## 328        1    41        ACA       1.1651376      Cori        1          0.50
## 329        1    42        CA3       1.7205882      Cori       -1          0.50
## 330        1    42        SUB       2.3066667      Cori       -1          0.50
## 331        1    42       root       0.6666667      Cori       -1          0.50
## 332        1    42        ACA       0.7798165      Cori       -1          0.50
## 333        1    42         DG       1.3823529      Cori       -1          0.50
## 334        1    42         LS       1.4820144      Cori       -1          0.50
## 335        1    42        MOs       0.8318584      Cori       -1          0.50
## 336        1    42       VISp       1.3651685      Cori       -1          0.50
## 337        1    43         LS       1.8776978      Cori        1          0.00
## 338        1    43         DG       3.3235294      Cori        1          0.00
## 339        1    43        ACA       1.1743119      Cori        1          0.00
## 340        1    43       root       1.1666667      Cori        1          0.00
## 341        1    43        SUB       2.1866667      Cori        1          0.00
## 342        1    43        MOs       1.2035398      Cori        1          0.00
## 343        1    43       VISp       2.0393258      Cori        1          0.00
## 344        1    43        CA3       2.0294118      Cori        1          0.00
## 345        1    44       root       1.5000000      Cori        1          0.25
## 346        1    44         DG       3.0000000      Cori        1          0.25
## 347        1    44         LS       1.6762590      Cori        1          0.25
## 348        1    44        SUB       3.0000000      Cori        1          0.25
## 349        1    44       VISp       2.2191011      Cori        1          0.25
## 350        1    44        MOs       0.9115044      Cori        1          0.25
## 351        1    44        ACA       1.0733945      Cori        1          0.25
## 352        1    44        CA3       2.3970588      Cori        1          0.25
## 353        1    45        SUB       2.1200000      Cori        1          1.00
## 354        1    45       root       0.9444444      Cori        1          1.00
## 355        1    45         DG       2.8235294      Cori        1          1.00
## 356        1    45        CA3       2.1617647      Cori        1          1.00
## 357        1    45        MOs       0.9115044      Cori        1          1.00
## 358        1    45       VISp       1.8820225      Cori        1          1.00
## 359        1    45         LS       1.7769784      Cori        1          1.00
## 360        1    45        ACA       1.1100917      Cori        1          1.00
## 361        1    46        ACA       1.3302752      Cori        1          0.00
## 362        1    46         LS       1.8345324      Cori        1          0.00
## 363        1    46       root       2.1111111      Cori        1          0.00
## 364        1    46        SUB       2.6933333      Cori        1          0.00
## 365        1    46        CA3       2.7647059      Cori        1          0.00
## 366        1    46         DG       4.0588235      Cori        1          0.00
## 367        1    46       VISp       2.2752809      Cori        1          0.00
## 368        1    46        MOs       1.1858407      Cori        1          0.00
## 369        1    47       VISp       1.8314607      Cori       -1          1.00
## 370        1    47        MOs       1.1238938      Cori       -1          1.00
## 371        1    47         DG       2.2941176      Cori       -1          1.00
## 372        1    47       root       1.0555556      Cori       -1          1.00
## 373        1    47        ACA       1.3211009      Cori       -1          1.00
## 374        1    47        CA3       2.1911765      Cori       -1          1.00
## 375        1    47         LS       1.6690647      Cori       -1          1.00
## 376        1    47        SUB       2.4133333      Cori       -1          1.00
## 377        1    48        ACA       0.4862385      Cori        1          0.00
## 378        1    48        CA3       2.1911765      Cori        1          0.00
## 379        1    48        MOs       0.6017699      Cori        1          0.00
## 380        1    48       root       0.3333333      Cori        1          0.00
## 381        1    48         DG       1.5294118      Cori        1          0.00
## 382        1    48       VISp       1.4325843      Cori        1          0.00
## 383        1    48         LS       0.7913669      Cori        1          0.00
## 384        1    48        SUB       2.3733333      Cori        1          0.00
## 385        1    49        SUB       2.1066667      Cori       -1          1.00
## 386        1    49       root       0.5555556      Cori       -1          1.00
## 387        1    49        MOs       0.7433628      Cori       -1          1.00
## 388        1    49        ACA       0.8256881      Cori       -1          1.00
## 389        1    49         DG       1.6176471      Cori       -1          1.00
## 390        1    49       VISp       1.5056180      Cori       -1          1.00
## 391        1    49         LS       1.2589928      Cori       -1          1.00
## 392        1    49        CA3       1.8823529      Cori       -1          1.00
## 393        1    50         DG       1.9411765      Cori        1          1.00
## 394        1    50        ACA       0.9816514      Cori        1          1.00
## 395        1    50        CA3       1.8970588      Cori        1          1.00
## 396        1    50       root       0.7222222      Cori        1          1.00
## 397        1    50        MOs       0.7168142      Cori        1          1.00
## 398        1    50        SUB       1.5200000      Cori        1          1.00
## 399        1    50       VISp       1.2640449      Cori        1          1.00
## 400        1    50         LS       1.6187050      Cori        1          1.00
## 401        1    51         LS       1.5611511      Cori        1          0.00
## 402        1    51       VISp       2.0056180      Cori        1          0.00
## 403        1    51        ACA       1.3853211      Cori        1          0.00
## 404        1    51         DG       3.8529412      Cori        1          0.00
## 405        1    51        CA3       2.4411765      Cori        1          0.00
## 406        1    51       root       1.3888889      Cori        1          0.00
## 407        1    51        MOs       1.1504425      Cori        1          0.00
## 408        1    51        SUB       2.7466667      Cori        1          0.00
## 409        1    52        CA3       2.6470588      Cori        1          0.00
## 410        1    52         DG       2.7647059      Cori        1          0.00
## 411        1    52        MOs       1.0000000      Cori        1          0.00
## 412        1    52        ACA       1.3577982      Cori        1          0.00
## 413        1    52         LS       1.6402878      Cori        1          0.00
## 414        1    52       root       1.3333333      Cori        1          0.00
## 415        1    52        SUB       2.8933333      Cori        1          0.00
## 416        1    52       VISp       2.0505618      Cori        1          0.00
## 417        1    53        MOs       0.7610619      Cori       -1          0.50
## 418        1    53       VISp       1.7696629      Cori       -1          0.50
## 419        1    53         DG       1.4117647      Cori       -1          0.50
## 420        1    53        CA3       1.9117647      Cori       -1          0.50
## 421        1    53        ACA       0.8807339      Cori       -1          0.50
## 422        1    53         LS       1.3884892      Cori       -1          0.50
## 423        1    53        SUB       2.2666667      Cori       -1          0.50
## 424        1    53       root       0.4444444      Cori       -1          0.50
## 425        1    54         LS       1.6546763      Cori       -1          0.00
## 426        1    54        MOs       1.0707965      Cori       -1          0.00
## 427        1    54        ACA       1.1559633      Cori       -1          0.00
## 428        1    54       VISp       1.7415730      Cori       -1          0.00
## 429        1    54        CA3       1.4852941      Cori       -1          0.00
## 430        1    54       root       1.1111111      Cori       -1          0.00
## 431        1    54        SUB       2.5733333      Cori       -1          0.00
## 432        1    54         DG       2.9705882      Cori       -1          0.00
## 433        1    55        SUB       2.0000000      Cori        1          0.50
## 434        1    55       root       1.0000000      Cori        1          0.50
## 435        1    55         LS       1.6762590      Cori        1          0.50
## 436        1    55       VISp       1.5842697      Cori        1          0.50
## 437        1    55        CA3       1.5000000      Cori        1          0.50
## 438        1    55        MOs       1.0088496      Cori        1          0.50
## 439        1    55         DG       2.1176471      Cori        1          0.50
## 440        1    55        ACA       1.0733945      Cori        1          0.50
## 441        1    56         DG       4.0000000      Cori        1          1.00
## 442        1    56        CA3       2.5000000      Cori        1          1.00
## 443        1    56        ACA       1.5963303      Cori        1          1.00
## 444        1    56        SUB       2.6266667      Cori        1          1.00
## 445        1    56         LS       2.0431655      Cori        1          1.00
## 446        1    56        MOs       1.0176991      Cori        1          1.00
## 447        1    56       VISp       2.2977528      Cori        1          1.00
## 448        1    56       root       1.3333333      Cori        1          1.00
## 449        1    57       root       0.4444444      Cori       -1          1.00
## 450        1    57         LS       1.4676259      Cori       -1          1.00
## 451        1    57       VISp       1.5224719      Cori       -1          1.00
## 452        1    57        MOs       0.8230088      Cori       -1          1.00
## 453        1    57        SUB       2.2533333      Cori       -1          1.00
## 454        1    57         DG       1.8235294      Cori       -1          1.00
## 455        1    57        ACA       0.8165138      Cori       -1          1.00
## 456        1    57        CA3       1.8235294      Cori       -1          1.00
## 457        1    58        ACA       0.6788991      Cori       -1          1.00
## 458        1    58         DG       2.0588235      Cori       -1          1.00
## 459        1    58        SUB       1.9733333      Cori       -1          1.00
## 460        1    58       root       0.4444444      Cori       -1          1.00
## 461        1    58        CA3       1.6911765      Cori       -1          1.00
## 462        1    58        MOs       0.7522124      Cori       -1          1.00
## 463        1    58       VISp       1.3820225      Cori       -1          1.00
## 464        1    58         LS       1.1654676      Cori       -1          1.00
## 465        1    59        ACA       0.8348624      Cori       -1          1.00
## 466        1    59         DG       1.5294118      Cori       -1          1.00
## 467        1    59        MOs       0.9292035      Cori       -1          1.00
## 468        1    59         LS       1.3741007      Cori       -1          1.00
## 469        1    59        CA3       1.4411765      Cori       -1          1.00
## 470        1    59       root       0.3888889      Cori       -1          1.00
## 471        1    59        SUB       2.0533333      Cori       -1          1.00
## 472        1    59       VISp       1.2640449      Cori       -1          1.00
## 473        1    60         LS       2.1942446      Cori        1          1.00
## 474        1    60        MOs       1.0442478      Cori        1          1.00
## 475        1    60        CA3       2.2205882      Cori        1          1.00
## 476        1    60        SUB       2.5466667      Cori        1          1.00
## 477        1    60         DG       3.5588235      Cori        1          1.00
## 478        1    60       VISp       2.1910112      Cori        1          1.00
## 479        1    60       root       1.7222222      Cori        1          1.00
## 480        1    60        ACA       1.5871560      Cori        1          1.00
## 481        1    61        CA3       2.1764706      Cori        1          1.00
## 482        1    61        SUB       3.4533333      Cori        1          1.00
## 483        1    61       VISp       2.1516854      Cori        1          1.00
## 484        1    61        ACA       1.5412844      Cori        1          1.00
## 485        1    61         DG       2.7352941      Cori        1          1.00
## 486        1    61         LS       1.9784173      Cori        1          1.00
## 487        1    61       root       1.2777778      Cori        1          1.00
## 488        1    61        MOs       1.0000000      Cori        1          1.00
## 489        1    62         LS       1.2517986      Cori        1          1.00
## 490        1    62        ACA       0.8165138      Cori        1          1.00
## 491        1    62        SUB       2.5866667      Cori        1          1.00
## 492        1    62       root       0.6666667      Cori        1          1.00
## 493        1    62       VISp       1.7584270      Cori        1          1.00
## 494        1    62         DG       2.4411765      Cori        1          1.00
## 495        1    62        CA3       2.0294118      Cori        1          1.00
## 496        1    62        MOs       0.9203540      Cori        1          1.00
## 497        1    63        ACA       1.0733945      Cori       -1          0.25
## 498        1    63       root       0.7777778      Cori       -1          0.25
## 499        1    63         DG       1.4705882      Cori       -1          0.25
## 500        1    63       VISp       1.3539326      Cori       -1          0.25
## 501        1    63        MOs       0.8407080      Cori       -1          0.25
## 502        1    63        CA3       1.5588235      Cori       -1          0.25
## 503        1    63        SUB       2.0800000      Cori       -1          0.25
## 504        1    63         LS       1.3812950      Cori       -1          0.25
## 505        1    64       root       0.5555556      Cori       -1          1.00
## 506        1    64         LS       1.0431655      Cori       -1          1.00
## 507        1    64       VISp       1.7921348      Cori       -1          1.00
## 508        1    64        ACA       0.8899083      Cori       -1          1.00
## 509        1    64        CA3       2.1617647      Cori       -1          1.00
## 510        1    64        SUB       3.4000000      Cori       -1          1.00
## 511        1    64         DG       1.8823529      Cori       -1          1.00
## 512        1    64        MOs       0.8318584      Cori       -1          1.00
## 513        1    65        CA3       2.6911765      Cori       -1          1.00
## 514        1    65        SUB       2.3866667      Cori       -1          1.00
## 515        1    65       root       0.4444444      Cori       -1          1.00
## 516        1    65        ACA       0.6880734      Cori       -1          1.00
## 517        1    65       VISp       1.6348315      Cori       -1          1.00
## 518        1    65        MOs       0.8584071      Cori       -1          1.00
## 519        1    65         DG       1.9411765      Cori       -1          1.00
## 520        1    65         LS       1.1582734      Cori       -1          1.00
## 521        1    66        MOs       0.9469027      Cori       -1          1.00
## 522        1    66       VISp       1.4438202      Cori       -1          1.00
## 523        1    66        ACA       0.8165138      Cori       -1          1.00
## 524        1    66         DG       1.9705882      Cori       -1          1.00
## 525        1    66        SUB       2.1600000      Cori       -1          1.00
## 526        1    66       root       0.5555556      Cori       -1          1.00
## 527        1    66        CA3       2.2941176      Cori       -1          1.00
## 528        1    66         LS       1.3884892      Cori       -1          1.00
## 529        1    67       root       0.9444444      Cori        1          1.00
## 530        1    67        SUB       2.9600000      Cori        1          1.00
## 531        1    67        MOs       1.0884956      Cori        1          1.00
## 532        1    67       VISp       1.8370787      Cori        1          1.00
## 533        1    67         LS       1.8417266      Cori        1          1.00
## 534        1    67         DG       2.9411765      Cori        1          1.00
## 535        1    67        CA3       2.1029412      Cori        1          1.00
## 536        1    67        ACA       1.3669725      Cori        1          1.00
## 537        1    68        CA3       1.6764706      Cori        1          0.00
## 538        1    68         LS       1.4316547      Cori        1          0.00
## 539        1    68        MOs       0.7433628      Cori        1          0.00
## 540        1    68       VISp       1.4044944      Cori        1          0.00
## 541        1    68         DG       1.8235294      Cori        1          0.00
## 542        1    68       root       0.4444444      Cori        1          0.00
## 543        1    68        ACA       0.7064220      Cori        1          0.00
## 544        1    68        SUB       2.3600000      Cori        1          0.00
## 545        1    69         LS       1.4892086      Cori        1          0.00
## 546        1    69       root       0.7222222      Cori        1          0.00
## 547        1    69       VISp       1.5674157      Cori        1          0.00
## 548        1    69        MOs       0.8407080      Cori        1          0.00
## 549        1    69        ACA       1.2477064      Cori        1          0.00
## 550        1    69         DG       2.0000000      Cori        1          0.00
## 551        1    69        CA3       1.7941176      Cori        1          0.00
## 552        1    69        SUB       1.8800000      Cori        1          0.00
## 553        1    70        CA3       2.7205882      Cori        1          0.00
## 554        1    70       VISp       1.8033708      Cori        1          0.00
## 555        1    70         LS       0.9784173      Cori        1          0.00
## 556        1    70        ACA       0.4678899      Cori        1          0.00
## 557        1    70         DG       1.8235294      Cori        1          0.00
## 558        1    70        MOs       0.7256637      Cori        1          0.00
## 559        1    70       root       0.6111111      Cori        1          0.00
## 560        1    70        SUB       3.0933333      Cori        1          0.00
## 561        1    71        SUB       2.3200000      Cori        1          1.00
## 562        1    71       root       0.9444444      Cori        1          1.00
## 563        1    71        MOs       0.8141593      Cori        1          1.00
## 564        1    71        ACA       0.8440367      Cori        1          1.00
## 565        1    71         DG       1.6764706      Cori        1          1.00
## 566        1    71       VISp       1.6123596      Cori        1          1.00
## 567        1    71         LS       1.3093525      Cori        1          1.00
## 568        1    71        CA3       2.2941176      Cori        1          1.00
## 569        1    72        CA3       2.0294118      Cori        1          0.00
## 570        1    72       VISp       1.1404494      Cori        1          0.00
## 571        1    72        SUB       2.1733333      Cori        1          0.00
## 572        1    72        MOs       0.6017699      Cori        1          0.00
## 573        1    72       root       0.6111111      Cori        1          0.00
## 574        1    72         LS       1.0863309      Cori        1          0.00
## 575        1    72         DG       2.0294118      Cori        1          0.00
## 576        1    72        ACA       0.5963303      Cori        1          0.00
## 577        1    73         DG       1.8235294      Cori        1          0.25
## 578        1    73         LS       1.6618705      Cori        1          0.25
## 579        1    73        MOs       1.0088496      Cori        1          0.25
## 580        1    73       VISp       1.4494382      Cori        1          0.25
## 581        1    73        ACA       1.1192661      Cori        1          0.25
## 582        1    73       root       0.6111111      Cori        1          0.25
## 583        1    73        SUB       2.6400000      Cori        1          0.25
## 584        1    73        CA3       1.8529412      Cori        1          0.25
## 585        1    74        MOs       0.8938053      Cori        1          0.00
## 586        1    74        CA3       2.6617647      Cori        1          0.00
## 587        1    74       VISp       1.6011236      Cori        1          0.00
## 588        1    74         DG       1.6764706      Cori        1          0.00
## 589        1    74       root       0.8888889      Cori        1          0.00
## 590        1    74        ACA       0.6697248      Cori        1          0.00
## 591        1    74        SUB       3.5600000      Cori        1          0.00
## 592        1    74         LS       0.9352518      Cori        1          0.00
## 593        1    75        CA3       2.2205882      Cori        1          0.50
## 594        1    75        MOs       0.8141593      Cori        1          0.50
## 595        1    75         LS       1.2877698      Cori        1          0.50
## 596        1    75        SUB       2.2533333      Cori        1          0.50
## 597        1    75       VISp       1.5955056      Cori        1          0.50
## 598        1    75         DG       2.6470588      Cori        1          0.50
## 599        1    75       root       1.0555556      Cori        1          0.50
## 600        1    75        ACA       0.7614679      Cori        1          0.50
## 601        1    76         LS       1.5395683      Cori        1          1.00
## 602        1    76       root       0.6666667      Cori        1          1.00
## 603        1    76         DG       1.9411765      Cori        1          1.00
## 604        1    76        CA3       1.6764706      Cori        1          1.00
## 605        1    76        MOs       0.9734513      Cori        1          1.00
## 606        1    76       VISp       1.6179775      Cori        1          1.00
## 607        1    76        ACA       1.1376147      Cori        1          1.00
## 608        1    76        SUB       1.9733333      Cori        1          1.00
## 609        1    77        SUB       1.9333333      Cori       -1          0.50
## 610        1    77         DG       2.2647059      Cori       -1          0.50
## 611        1    77       VISp       1.2865169      Cori       -1          0.50
## 612        1    77       root       0.5555556      Cori       -1          0.50
## 613        1    77        CA3       2.2352941      Cori       -1          0.50
## 614        1    77        ACA       0.7339450      Cori       -1          0.50
## 615        1    77        MOs       0.6991150      Cori       -1          0.50
## 616        1    77         LS       0.9712230      Cori       -1          0.50
## 617        1    78        SUB       2.3200000      Cori        1          0.50
## 618        1    78       VISp       1.5337079      Cori        1          0.50
## 619        1    78        CA3       2.5441176      Cori        1          0.50
## 620        1    78        MOs       0.7433628      Cori        1          0.50
## 621        1    78         LS       1.2949640      Cori        1          0.50
## 622        1    78        ACA       0.5688073      Cori        1          0.50
## 623        1    78       root       0.6666667      Cori        1          0.50
## 624        1    78         DG       1.1470588      Cori        1          0.50
## 625        1    79         LS       1.8561151      Cori        1          0.25
## 626        1    79         DG       2.8235294      Cori        1          0.25
## 627        1    79       VISp       1.8651685      Cori        1          0.25
## 628        1    79       root       1.3333333      Cori        1          0.25
## 629        1    79        ACA       1.2844037      Cori        1          0.25
## 630        1    79        SUB       2.1466667      Cori        1          0.25
## 631        1    79        CA3       1.9117647      Cori        1          0.25
## 632        1    79        MOs       0.9911504      Cori        1          0.25
## 633        1    80       root       0.7777778      Cori       -1          0.50
## 634        1    80        SUB       1.8400000      Cori       -1          0.50
## 635        1    80        MOs       0.7079646      Cori       -1          0.50
## 636        1    80         DG       1.1176471      Cori       -1          0.50
## 637        1    80        CA3       1.8823529      Cori       -1          0.50
## 638        1    80         LS       1.0071942      Cori       -1          0.50
## 639        1    80       VISp       1.0898876      Cori       -1          0.50
## 640        1    80        ACA       0.7981651      Cori       -1          0.50
## 641        1    81        MOs       0.8407080      Cori        1          0.00
## 642        1    81        CA3       2.7500000      Cori        1          0.00
## 643        1    81         LS       0.8489209      Cori        1          0.00
## 644        1    81        SUB       3.3200000      Cori        1          0.00
## 645        1    81         DG       3.2058824      Cori        1          0.00
## 646        1    81       root       1.0000000      Cori        1          0.00
## 647        1    81       VISp       1.7865169      Cori        1          0.00
## 648        1    81        ACA       0.5504587      Cori        1          0.00
## 649        1    82        CA3       1.6029412      Cori        1          0.50
## 650        1    82       VISp       1.3820225      Cori        1          0.50
## 651        1    82       root       1.5000000      Cori        1          0.50
## 652        1    82        SUB       1.9600000      Cori        1          0.50
## 653        1    82        MOs       0.9380531      Cori        1          0.50
## 654        1    82         LS       1.4532374      Cori        1          0.50
## 655        1    82        ACA       0.8440367      Cori        1          0.50
## 656        1    82         DG       1.4411765      Cori        1          0.50
## 657        1    83        SUB       2.7200000      Cori        1          0.00
## 658        1    83        ACA       1.3577982      Cori        1          0.00
## 659        1    83        CA3       2.5882353      Cori        1          0.00
## 660        1    83       VISp       1.7865169      Cori        1          0.00
## 661        1    83        MOs       1.1327434      Cori        1          0.00
## 662        1    83         DG       2.6176471      Cori        1          0.00
## 663        1    83       root       1.5555556      Cori        1          0.00
## 664        1    83         LS       1.7482014      Cori        1          0.00
## 665        1    84        MOs       1.1238938      Cori        1          0.00
## 666        1    84       root       1.3333333      Cori        1          0.00
## 667        1    84        CA3       2.5588235      Cori        1          0.00
## 668        1    84        ACA       1.6330275      Cori        1          0.00
## 669        1    84         DG       2.7941176      Cori        1          0.00
## 670        1    84       VISp       2.0168539      Cori        1          0.00
## 671        1    84         LS       2.1007194      Cori        1          0.00
## 672        1    84        SUB       2.3733333      Cori        1          0.00
## 673        1    85         DG       1.8235294      Cori       -1          0.50
## 674        1    85        SUB       2.0266667      Cori       -1          0.50
## 675        1    85       root       0.5000000      Cori       -1          0.50
## 676        1    85        MOs       0.7610619      Cori       -1          0.50
## 677        1    85        CA3       1.6323529      Cori       -1          0.50
## 678        1    85        ACA       0.8715596      Cori       -1          0.50
## 679        1    85       VISp       1.2528090      Cori       -1          0.50
## 680        1    85         LS       1.4892086      Cori       -1          0.50
## 681        1    86         LS       1.8489209      Cori        1          0.00
## 682        1    86        MOs       1.0796460      Cori        1          0.00
## 683        1    86       root       1.4444444      Cori        1          0.00
## 684        1    86       VISp       1.9550562      Cori        1          0.00
## 685        1    86         DG       2.8235294      Cori        1          0.00
## 686        1    86        ACA       1.3761468      Cori        1          0.00
## 687        1    86        CA3       2.0147059      Cori        1          0.00
## 688        1    86        SUB       2.6933333      Cori        1          0.00
## 689        1    87       VISp       1.5449438      Cori       -1          1.00
## 690        1    87        MOs       0.6017699      Cori       -1          1.00
## 691        1    87        ACA       0.5229358      Cori       -1          1.00
## 692        1    87        CA3       2.2794118      Cori       -1          1.00
## 693        1    87        SUB       2.2533333      Cori       -1          1.00
## 694        1    87         DG       1.8529412      Cori       -1          1.00
## 695        1    87         LS       0.8057554      Cori       -1          1.00
## 696        1    87       root       0.5000000      Cori       -1          1.00
## 697        1    88        CA3       1.7352941      Cori        1          0.25
## 698        1    88        SUB       2.9200000      Cori        1          0.25
## 699        1    88         LS       1.7985612      Cori        1          0.25
## 700        1    88        ACA       1.3761468      Cori        1          0.25
## 701        1    88       root       1.2222222      Cori        1          0.25
## 702        1    88       VISp       1.6966292      Cori        1          0.25
## 703        1    88         DG       3.2647059      Cori        1          0.25
## 704        1    88        MOs       1.0884956      Cori        1          0.25
## 705        1    89         LS       1.3669065      Cori       -1          1.00
## 706        1    89        CA3       2.0735294      Cori       -1          1.00
## 707        1    89       VISp       1.3202247      Cori       -1          1.00
## 708        1    89       root       0.7777778      Cori       -1          1.00
## 709        1    89        SUB       1.9333333      Cori       -1          1.00
## 710        1    89        MOs       0.7079646      Cori       -1          1.00
## 711        1    89        ACA       1.0000000      Cori       -1          1.00
## 712        1    89         DG       1.6764706      Cori       -1          1.00
## 713        1    90       VISp       1.1797753      Cori       -1          1.00
## 714        1    90         DG       1.5000000      Cori       -1          1.00
## 715        1    90        SUB       1.8933333      Cori       -1          1.00
## 716        1    90        CA3       1.8382353      Cori       -1          1.00
## 717        1    90         LS       1.4028777      Cori       -1          1.00
## 718        1    90        MOs       0.7699115      Cori       -1          1.00
## 719        1    90        ACA       0.9449541      Cori       -1          1.00
## 720        1    90       root       0.7777778      Cori       -1          1.00
## 721        1    91         LS       1.4100719      Cori       -1          1.00
## 722        1    91        ACA       0.6880734      Cori       -1          1.00
## 723        1    91        CA3       1.7794118      Cori       -1          1.00
## 724        1    91        MOs       0.7256637      Cori       -1          1.00
## 725        1    91       VISp       1.3876404      Cori       -1          1.00
## 726        1    91        SUB       2.4133333      Cori       -1          1.00
## 727        1    91         DG       1.7058824      Cori       -1          1.00
## 728        1    91       root       0.8888889      Cori       -1          1.00
## 729        1    92        CA3       1.5441176      Cori       -1          1.00
## 730        1    92        ACA       0.6972477      Cori       -1          1.00
## 731        1    92         DG       2.0294118      Cori       -1          1.00
## 732        1    92       root       1.5000000      Cori       -1          1.00
## 733        1    92       VISp       1.5730337      Cori       -1          1.00
## 734        1    92        SUB       3.0933333      Cori       -1          1.00
## 735        1    92        MOs       0.8938053      Cori       -1          1.00
## 736        1    92         LS       1.3956835      Cori       -1          1.00
## 737        1    93        MOs       0.6548673      Cori        1          0.25
## 738        1    93       VISp       1.5505618      Cori        1          0.25
## 739        1    93       root       0.9444444      Cori        1          0.25
## 740        1    93         DG       1.7352941      Cori        1          0.25
## 741        1    93        CA3       1.8676471      Cori        1          0.25
## 742        1    93        SUB       1.8933333      Cori        1          0.25
## 743        1    93         LS       1.0791367      Cori        1          0.25
## 744        1    93        ACA       0.7522936      Cori        1          0.25
## 745        1    94        ACA       0.7706422      Cori       -1          0.00
## 746        1    94         DG       1.4705882      Cori       -1          0.00
## 747        1    94         LS       1.1798561      Cori       -1          0.00
## 748        1    94       root       0.8333333      Cori       -1          0.00
## 749        1    94        SUB       1.7333333      Cori       -1          0.00
## 750        1    94        MOs       0.8053097      Cori       -1          0.00
## 751        1    94        CA3       1.7647059      Cori       -1          0.00
## 752        1    94       VISp       1.6123596      Cori       -1          0.00
## 753        1    95        CA3       1.7941176      Cori        1          0.00
## 754        1    95        ACA       1.2568807      Cori        1          0.00
## 755        1    95        SUB       2.0800000      Cori        1          0.00
## 756        1    95         LS       1.6330935      Cori        1          0.00
## 757        1    95         DG       2.0882353      Cori        1          0.00
## 758        1    95       VISp       1.4775281      Cori        1          0.00
## 759        1    95        MOs       0.9823009      Cori        1          0.00
## 760        1    95       root       1.1111111      Cori        1          0.00
## 761        1    96         DG       1.7352941      Cori       -1          0.00
## 762        1    96       root       0.9444444      Cori       -1          0.00
## 763        1    96        SUB       2.0000000      Cori       -1          0.00
## 764        1    96       VISp       1.4382022      Cori       -1          0.00
## 765        1    96        ACA       0.5688073      Cori       -1          0.00
## 766        1    96        CA3       2.0588235      Cori       -1          0.00
## 767        1    96         LS       1.2086331      Cori       -1          0.00
## 768        1    96        MOs       0.8053097      Cori       -1          0.00
## 769        1    97        SUB       1.8133333      Cori        1          0.50
## 770        1    97         DG       1.4705882      Cori        1          0.50
## 771        1    97        CA3       1.6911765      Cori        1          0.50
## 772        1    97       VISp       1.1404494      Cori        1          0.50
## 773        1    97         LS       1.5323741      Cori        1          0.50
## 774        1    97        MOs       0.9380531      Cori        1          0.50
## 775        1    97       root       0.3888889      Cori        1          0.50
## 776        1    97        ACA       0.6513761      Cori        1          0.50
## 777        1    98        CA3       1.5588235      Cori        1          1.00
## 778        1    98         DG       1.9705882      Cori        1          1.00
## 779        1    98        MOs       0.9292035      Cori        1          1.00
## 780        1    98       root       0.7222222      Cori        1          1.00
## 781        1    98        ACA       1.2660550      Cori        1          1.00
## 782        1    98         LS       1.6762590      Cori        1          1.00
## 783        1    98        SUB       1.9733333      Cori        1          1.00
## 784        1    98       VISp       1.2696629      Cori        1          1.00
## 785        1    99         DG       3.6176471      Cori        1          0.00
## 786        1    99        SUB       2.9333333      Cori        1          0.00
## 787        1    99       VISp       1.9662921      Cori        1          0.00
## 788        1    99        MOs       1.2300885      Cori        1          0.00
## 789        1    99        ACA       1.5688073      Cori        1          0.00
## 790        1    99       root       1.8888889      Cori        1          0.00
## 791        1    99         LS       1.9712230      Cori        1          0.00
## 792        1    99        CA3       2.0882353      Cori        1          0.00
## 793        1   100         LS       1.1582734      Cori       -1          0.00
## 794        1   100        CA3       1.8529412      Cori       -1          0.00
## 795        1   100       root       0.8888889      Cori       -1          0.00
## 796        1   100        SUB       2.2266667      Cori       -1          0.00
## 797        1   100        MOs       0.7433628      Cori       -1          0.00
## 798        1   100         DG       2.2352941      Cori       -1          0.00
## 799        1   100        ACA       0.7431193      Cori       -1          0.00
## 800        1   100       VISp       1.3651685      Cori       -1          0.00
## 801        1   101        ACA       0.8807339      Cori       -1          0.50
## 802        1   101        CA3       1.9411765      Cori       -1          0.50
## 803        1   101        SUB       2.0133333      Cori       -1          0.50
## 804        1   101         LS       1.2230216      Cori       -1          0.50
## 805        1   101       VISp       1.3483146      Cori       -1          0.50
## 806        1   101        MOs       0.9292035      Cori       -1          0.50
## 807        1   101       root       0.7222222      Cori       -1          0.50
## 808        1   101         DG       1.2352941      Cori       -1          0.50
## 809        1   102         LS       1.6402878      Cori       -1          1.00
## 810        1   102        ACA       1.3027523      Cori       -1          1.00
## 811        1   102       root       0.6111111      Cori       -1          1.00
## 812        1   102        SUB       2.0666667      Cori       -1          1.00
## 813        1   102       VISp       1.4606742      Cori       -1          1.00
## 814        1   102         DG       2.1764706      Cori       -1          1.00
## 815        1   102        CA3       1.3970588      Cori       -1          1.00
## 816        1   102        MOs       0.9469027      Cori       -1          1.00
## 817        1   103        SUB       2.0800000      Cori       -1          0.25
## 818        1   103       VISp       1.3707865      Cori       -1          0.25
## 819        1   103         DG       1.6470588      Cori       -1          0.25
## 820        1   103        MOs       0.5929204      Cori       -1          0.25
## 821        1   103        ACA       0.7522936      Cori       -1          0.25
## 822        1   103       root       1.2777778      Cori       -1          0.25
## 823        1   103         LS       1.0647482      Cori       -1          0.25
## 824        1   103        CA3       1.6176471      Cori       -1          0.25
## 825        1   104        ACA       1.4128440      Cori        1          0.25
## 826        1   104        CA3       1.7794118      Cori        1          0.25
## 827        1   104         LS       1.9712230      Cori        1          0.25
## 828        1   104        SUB       2.3466667      Cori        1          0.25
## 829        1   104        MOs       1.0353982      Cori        1          0.25
## 830        1   104         DG       3.2058824      Cori        1          0.25
## 831        1   104       VISp       1.5112360      Cori        1          0.25
## 832        1   104       root       0.9444444      Cori        1          0.25
## 833        1   105         LS       0.8633094      Cori       -1          0.50
## 834        1   105         DG       1.4117647      Cori       -1          0.50
## 835        1   105        MOs       0.6194690      Cori       -1          0.50
## 836        1   105        SUB       2.4800000      Cori       -1          0.50
## 837        1   105        ACA       0.6880734      Cori       -1          0.50
## 838        1   105       root       0.5000000      Cori       -1          0.50
## 839        1   105        CA3       1.8676471      Cori       -1          0.50
## 840        1   105       VISp       1.3876404      Cori       -1          0.50
## 841        1   106       VISp       1.3539326      Cori        1          0.00
## 842        1   106        SUB       1.7200000      Cori        1          0.00
## 843        1   106         LS       1.3525180      Cori        1          0.00
## 844        1   106         DG       1.6470588      Cori        1          0.00
## 845        1   106       root       0.9444444      Cori        1          0.00
## 846        1   106        CA3       1.8088235      Cori        1          0.00
## 847        1   106        MOs       0.9380531      Cori        1          0.00
## 848        1   106        ACA       0.8348624      Cori        1          0.00
## 849        1   107       VISp       1.3707865      Cori        1          0.00
## 850        1   107        CA3       1.6176471      Cori        1          0.00
## 851        1   107         LS       1.1582734      Cori        1          0.00
## 852        1   107        MOs       0.9380531      Cori        1          0.00
## 853        1   107        ACA       0.7981651      Cori        1          0.00
## 854        1   107       root       0.7777778      Cori        1          0.00
## 855        1   107        SUB       1.8666667      Cori        1          0.00
## 856        1   107         DG       1.0000000      Cori        1          0.00
## 857        1   108         DG       1.2647059      Cori       -1          0.50
## 858        1   108         LS       1.3237410      Cori       -1          0.50
## 859        1   108        ACA       0.8440367      Cori       -1          0.50
## 860        1   108       VISp       1.2471910      Cori       -1          0.50
## 861        1   108        MOs       0.9115044      Cori       -1          0.50
## 862        1   108        SUB       1.8133333      Cori       -1          0.50
## 863        1   108        CA3       2.1764706      Cori       -1          0.50
## 864        1   108       root       0.5555556      Cori       -1          0.50
## 865        1   109        SUB       3.6266667      Cori       -1          0.25
## 866        1   109         DG       2.6176471      Cori       -1          0.25
## 867        1   109       root       1.0000000      Cori       -1          0.25
## 868        1   109        ACA       0.7247706      Cori       -1          0.25
## 869        1   109        MOs       0.8230088      Cori       -1          0.25
## 870        1   109         LS       1.3597122      Cori       -1          0.25
## 871        1   109        CA3       2.6617647      Cori       -1          0.25
## 872        1   109       VISp       2.1910112      Cori       -1          0.25
## 873        1   110       VISp       1.5280899      Cori       -1          0.50
## 874        1   110         LS       1.2949640      Cori       -1          0.50
## 875        1   110        CA3       2.0735294      Cori       -1          0.50
## 876        1   110         DG       2.4117647      Cori       -1          0.50
## 877        1   110        MOs       0.9115044      Cori       -1          0.50
## 878        1   110        SUB       2.3600000      Cori       -1          0.50
## 879        1   110       root       1.0555556      Cori       -1          0.50
## 880        1   110        ACA       0.7889908      Cori       -1          0.50
## 881        1   111        MOs       0.7256637      Cori       -1          1.00
## 882        1   111        ACA       1.0366972      Cori       -1          1.00
## 883        1   111        SUB       2.0133333      Cori       -1          1.00
## 884        1   111       VISp       1.5561798      Cori       -1          1.00
## 885        1   111        CA3       1.7941176      Cori       -1          1.00
## 886        1   111       root       0.9444444      Cori       -1          1.00
## 887        1   111         DG       1.8529412      Cori       -1          1.00
## 888        1   111         LS       1.3309353      Cori       -1          1.00
## 889        1   112       root       1.0555556      Cori       -1          1.00
## 890        1   112        ACA       0.7431193      Cori       -1          1.00
## 891        1   112        CA3       1.7500000      Cori       -1          1.00
## 892        1   112        SUB       2.0800000      Cori       -1          1.00
## 893        1   112       VISp       1.0112360      Cori       -1          1.00
## 894        1   112         DG       1.4117647      Cori       -1          1.00
## 895        1   112        MOs       0.7699115      Cori       -1          1.00
## 896        1   112         LS       1.1007194      Cori       -1          1.00
## 897        1   113       VISp       2.0561798      Cori       -1          1.00
## 898        1   113        ACA       1.4128440      Cori       -1          1.00
## 899        1   113        MOs       0.9646018      Cori       -1          1.00
## 900        1   113         DG       2.3235294      Cori       -1          1.00
## 901        1   113         LS       1.9352518      Cori       -1          1.00
## 902        1   113        SUB       2.1600000      Cori       -1          1.00
## 903        1   113       root       1.7222222      Cori       -1          1.00
## 904        1   113        CA3       2.1911765      Cori       -1          1.00
## 905        1   114        MOs       0.6637168      Cori       -1          1.00
## 906        1   114       root       1.0000000      Cori       -1          1.00
## 907        1   114        CA3       1.5441176      Cori       -1          1.00
## 908        1   114         LS       1.2158273      Cori       -1          1.00
## 909        1   114        ACA       0.9082569      Cori       -1          1.00
## 910        1   114         DG       1.7058824      Cori       -1          1.00
## 911        1   114        SUB       1.9066667      Cori       -1          1.00
## 912        1   114       VISp       1.5842697      Cori       -1          1.00
## 913        2     1       VISl       1.3982684      Cori       -1          1.00
## 914        2     1       root       1.5384615      Cori       -1          1.00
## 915        2     1      VISpm       2.0000000      Cori       -1          1.00
## 916        2     1       POST       1.8167539      Cori       -1          1.00
## 917        2     1        CA1       1.1210526      Cori       -1          1.00
## 918        2     2       POST       1.0366492      Cori        1          0.00
## 919        2     2      VISpm       1.1357616      Cori        1          0.00
## 920        2     2       VISl       0.9740260      Cori        1          0.00
## 921        2     2        CA1       0.8368421      Cori        1          0.00
## 922        2     2       root       0.9358974      Cori        1          0.00
## 923        2     3        CA1       1.0157895      Cori       -1          0.50
## 924        2     3       POST       1.2879581      Cori       -1          0.50
## 925        2     3       root       1.2051282      Cori       -1          0.50
## 926        2     3       VISl       1.1818182      Cori       -1          0.50
## 927        2     3      VISpm       1.4668874      Cori       -1          0.50
## 928        2     4        CA1       1.1000000      Cori        1          0.00
## 929        2     4       POST       1.2356021      Cori        1          0.00
## 930        2     4       root       1.1025641      Cori        1          0.00
## 931        2     4       VISl       1.2467532      Cori        1          0.00
## 932        2     4      VISpm       1.5662252      Cori        1          0.00
## 933        2     5        CA1       0.7631579      Cori       -1          0.00
## 934        2     5       POST       1.4083770      Cori       -1          0.00
## 935        2     5       root       1.1153846      Cori       -1          0.00
## 936        2     5       VISl       1.0779221      Cori       -1          0.00
## 937        2     5      VISpm       1.6192053      Cori       -1          0.00
## 938        2     6       VISl       1.0519481      Cori        1          0.00
## 939        2     6        CA1       0.9315789      Cori        1          0.00
## 940        2     6       root       0.9487179      Cori        1          0.00
## 941        2     6       POST       0.8481675      Cori        1          0.00
## 942        2     6      VISpm       0.9900662      Cori        1          0.00
## 943        2     7        CA1       1.1315789      Cori        1          0.00
## 944        2     7       POST       1.7225131      Cori        1          0.00
## 945        2     7       root       1.0128205      Cori        1          0.00
## 946        2     7       VISl       1.1904762      Cori        1          0.00
## 947        2     7      VISpm       1.8145695      Cori        1          0.00
## 948        2     8        CA1       1.6210526      Cori        1          1.00
## 949        2     8       POST       1.7382199      Cori        1          1.00
## 950        2     8       root       1.6666667      Cori        1          1.00
## 951        2     8       VISl       1.5844156      Cori        1          1.00
## 952        2     8      VISpm       1.7119205      Cori        1          1.00
## 953        2     9       root       0.9743590      Cori       -1          0.00
## 954        2     9      VISpm       1.2682119      Cori       -1          0.00
## 955        2     9       POST       1.3193717      Cori       -1          0.00
## 956        2     9       VISl       1.0692641      Cori       -1          0.00
## 957        2     9        CA1       0.8789474      Cori       -1          0.00
## 958        2    10        CA1       0.8263158      Cori        1          0.00
## 959        2    10       POST       0.7591623      Cori        1          0.00
## 960        2    10      VISpm       0.8874172      Cori        1          0.00
## 961        2    10       VISl       0.9393939      Cori        1          0.00
## 962        2    10       root       0.8717949      Cori        1          0.00
## 963        2    11        CA1       1.0789474      Cori        1          1.00
## 964        2    11       POST       1.4764398      Cori        1          1.00
## 965        2    11       root       1.2820513      Cori        1          1.00
## 966        2    11       VISl       1.2900433      Cori        1          1.00
## 967        2    11      VISpm       1.5993377      Cori        1          1.00
## 968        2    12        CA1       1.2368421      Cori        1          0.50
## 969        2    12       POST       1.4554974      Cori        1          0.50
## 970        2    12       root       1.2692308      Cori        1          0.50
## 971        2    12       VISl       1.6536797      Cori        1          0.50
## 972        2    12      VISpm       1.5728477      Cori        1          0.50
## 973        2    13       VISl       1.3463203      Cori       -1          0.25
## 974        2    13        CA1       1.1684211      Cori       -1          0.25
## 975        2    13      VISpm       1.8245033      Cori       -1          0.25
## 976        2    13       POST       1.7225131      Cori       -1          0.25
## 977        2    13       root       1.2820513      Cori       -1          0.25
## 978        2    14        CA1       1.1000000      Cori        1          1.00
## 979        2    14       VISl       1.3506494      Cori        1          1.00
## 980        2    14       root       1.1153846      Cori        1          1.00
## 981        2    14      VISpm       1.4139073      Cori        1          1.00
## 982        2    14       POST       1.5235602      Cori        1          1.00
## 983        2    15        CA1       1.0421053      Cori       -1          0.25
## 984        2    15       POST       1.3717277      Cori       -1          0.25
## 985        2    15       root       1.1153846      Cori       -1          0.25
## 986        2    15       VISl       1.2251082      Cori       -1          0.25
## 987        2    15      VISpm       1.7284768      Cori       -1          0.25
## 988        2    16        CA1       1.1263158      Cori        1          0.25
## 989        2    16       POST       1.5863874      Cori        1          0.25
## 990        2    16       root       1.1987179      Cori        1          0.25
## 991        2    16       VISl       1.2554113      Cori        1          0.25
## 992        2    16      VISpm       1.7880795      Cori        1          0.25
## 993        2    17       root       1.3525641      Cori        1          0.25
## 994        2    17      VISpm       1.6986755      Cori        1          0.25
## 995        2    17       POST       1.6335079      Cori        1          0.25
## 996        2    17        CA1       1.2368421      Cori        1          0.25
## 997        2    17       VISl       1.3549784      Cori        1          0.25
## 998        2    18        CA1       1.0947368      Cori        1          0.50
## 999        2    18       POST       1.4973822      Cori        1          0.50
## 1000       2    18       root       1.1217949      Cori        1          0.50
## 1001       2    18       VISl       1.2597403      Cori        1          0.50
## 1002       2    18      VISpm       1.3145695      Cori        1          0.50
## 1003       2    19        CA1       1.0210526      Cori       -1          0.00
## 1004       2    19       POST       1.3193717      Cori       -1          0.00
## 1005       2    19       root       0.9743590      Cori       -1          0.00
## 1006       2    19       VISl       1.3852814      Cori       -1          0.00
## 1007       2    19      VISpm       1.4602649      Cori       -1          0.00
## 1008       2    20       root       1.1346154      Cori       -1          0.00
## 1009       2    20      VISpm       1.5463576      Cori       -1          0.00
## 1010       2    20       POST       1.0994764      Cori       -1          0.00
## 1011       2    20        CA1       1.1000000      Cori       -1          0.00
## 1012       2    20       VISl       1.3246753      Cori       -1          0.00
## 1013       2    21      VISpm       1.2615894      Cori        1          0.00
## 1014       2    21       root       1.5576923      Cori        1          0.00
## 1015       2    21        CA1       1.3526316      Cori        1          0.00
## 1016       2    21       POST       1.1308901      Cori        1          0.00
## 1017       2    21       VISl       1.4372294      Cori        1          0.00
## 1018       2    22       VISl       1.3376623      Cori       -1          1.00
## 1019       2    22       POST       1.5759162      Cori       -1          1.00
## 1020       2    22        CA1       1.1736842      Cori       -1          1.00
## 1021       2    22      VISpm       1.5728477      Cori       -1          1.00
## 1022       2    22       root       1.0448718      Cori       -1          1.00
## 1023       2    23        CA1       1.1842105      Cori        1          1.00
## 1024       2    23       POST       1.4240838      Cori        1          1.00
## 1025       2    23       root       1.2179487      Cori        1          1.00
## 1026       2    23       VISl       1.4025974      Cori        1          1.00
## 1027       2    23      VISpm       1.6655629      Cori        1          1.00
## 1028       2    24        CA1       1.1052632      Cori        1          0.50
## 1029       2    24       POST       1.4607330      Cori        1          0.50
## 1030       2    24       root       1.2371795      Cori        1          0.50
## 1031       2    24       VISl       1.3116883      Cori        1          0.50
## 1032       2    24      VISpm       1.4238411      Cori        1          0.50
## 1033       2    25       root       0.8974359      Cori        1          0.00
## 1034       2    25       POST       0.8691099      Cori        1          0.00
## 1035       2    25        CA1       1.1263158      Cori        1          0.00
## 1036       2    25       VISl       1.1688312      Cori        1          0.00
## 1037       2    25      VISpm       1.1026490      Cori        1          0.00
## 1038       2    26        CA1       1.3263158      Cori        1          0.50
## 1039       2    26       POST       1.5130890      Cori        1          0.50
## 1040       2    26       root       1.3653846      Cori        1          0.50
## 1041       2    26       VISl       1.5194805      Cori        1          0.50
## 1042       2    26      VISpm       1.7516556      Cori        1          0.50
## 1043       2    27        CA1       1.0894737      Cori       -1          0.00
## 1044       2    27       POST       0.9842932      Cori       -1          0.00
## 1045       2    27       root       1.3589744      Cori       -1          0.00
## 1046       2    27       VISl       1.3160173      Cori       -1          0.00
## 1047       2    27      VISpm       1.1622517      Cori       -1          0.00
## 1048       2    28        CA1       1.0526316      Cori        1          0.00
## 1049       2    28       POST       1.2146597      Cori        1          0.00
## 1050       2    28       root       1.0705128      Cori        1          0.00
## 1051       2    28       VISl       1.2597403      Cori        1          0.00
## 1052       2    28      VISpm       1.4635762      Cori        1          0.00
## 1053       2    29        CA1       1.2052632      Cori        1          0.00
## 1054       2    29       POST       1.4869110      Cori        1          0.00
## 1055       2    29       root       1.1923077      Cori        1          0.00
## 1056       2    29       VISl       1.4329004      Cori        1          0.00
## 1057       2    29      VISpm       1.6225166      Cori        1          0.00
## 1058       2    30        CA1       1.3578947      Cori        1          0.00
## 1059       2    30       POST       1.3664921      Cori        1          0.00
## 1060       2    30       root       1.1025641      Cori        1          0.00
## 1061       2    30       VISl       1.1255411      Cori        1          0.00
## 1062       2    30      VISpm       1.5066225      Cori        1          0.00
## 1063       2    31        CA1       1.1736842      Cori        1          1.00
## 1064       2    31       POST       1.6910995      Cori        1          1.00
## 1065       2    31       root       1.0256410      Cori        1          1.00
## 1066       2    31       VISl       1.2510823      Cori        1          1.00
## 1067       2    31      VISpm       1.5960265      Cori        1          1.00
## 1068       2    32       VISl       1.3549784      Cori       -1          0.25
## 1069       2    32       POST       1.6649215      Cori       -1          0.25
## 1070       2    32      VISpm       1.5662252      Cori       -1          0.25
## 1071       2    32        CA1       1.0947368      Cori       -1          0.25
## 1072       2    32       root       1.1858974      Cori       -1          0.25
## 1073       2    33       VISl       1.3376623      Cori        1          1.00
## 1074       2    33       POST       1.4869110      Cori        1          1.00
## 1075       2    33       root       1.1282051      Cori        1          1.00
## 1076       2    33      VISpm       1.5860927      Cori        1          1.00
## 1077       2    33        CA1       1.1842105      Cori        1          1.00
## 1078       2    34        CA1       1.0526316      Cori        1          0.00
## 1079       2    34       POST       1.2984293      Cori        1          0.00
## 1080       2    34       root       1.1282051      Cori        1          0.00
## 1081       2    34       VISl       1.2857143      Cori        1          0.00
## 1082       2    34      VISpm       1.2152318      Cori        1          0.00
## 1083       2    35        CA1       0.8947368      Cori        1          0.00
## 1084       2    35       POST       0.9738220      Cori        1          0.00
## 1085       2    35       VISl       1.1471861      Cori        1          0.00
## 1086       2    35      VISpm       1.0894040      Cori        1          0.00
## 1087       2    35       root       1.2820513      Cori        1          0.00
## 1088       2    36        CA1       1.2684211      Cori        1          0.00
## 1089       2    36       POST       1.3560209      Cori        1          0.00
## 1090       2    36       root       1.1730769      Cori        1          0.00
## 1091       2    36       VISl       1.2337662      Cori        1          0.00
## 1092       2    36      VISpm       1.6655629      Cori        1          0.00
## 1093       2    37       POST       1.3612565      Cori        1          0.25
## 1094       2    37      VISpm       1.2317881      Cori        1          0.25
## 1095       2    37       VISl       1.3549784      Cori        1          0.25
## 1096       2    37       root       0.9871795      Cori        1          0.25
## 1097       2    37        CA1       1.0473684      Cori        1          0.25
## 1098       2    38        CA1       0.8894737      Cori        1          0.00
## 1099       2    38       POST       1.5549738      Cori        1          0.00
## 1100       2    38       root       1.0833333      Cori        1          0.00
## 1101       2    38       VISl       1.3333333      Cori        1          0.00
## 1102       2    38      VISpm       1.3410596      Cori        1          0.00
## 1103       2    39       POST       1.2617801      Cori       -1          0.00
## 1104       2    39      VISpm       1.3311258      Cori       -1          0.00
## 1105       2    39       VISl       1.2294372      Cori       -1          0.00
## 1106       2    39       root       0.7692308      Cori       -1          0.00
## 1107       2    39        CA1       1.1157895      Cori       -1          0.00
## 1108       2    40        CA1       1.1842105      Cori        1          0.00
## 1109       2    40       POST       1.0837696      Cori        1          0.00
## 1110       2    40       root       0.9615385      Cori        1          0.00
## 1111       2    40       VISl       1.3939394      Cori        1          0.00
## 1112       2    40      VISpm       1.2715232      Cori        1          0.00
## 1113       2    41       root       1.0384615      Cori        1          0.00
## 1114       2    41       VISl       1.3982684      Cori        1          0.00
## 1115       2    41        CA1       1.1947368      Cori        1          0.00
## 1116       2    41       POST       1.5706806      Cori        1          0.00
## 1117       2    41      VISpm       1.4635762      Cori        1          0.00
## 1118       2    42       VISl       1.3376623      Cori        1          0.25
## 1119       2    42       POST       1.6910995      Cori        1          0.25
## 1120       2    42       root       0.9807692      Cori        1          0.25
## 1121       2    42      VISpm       1.6026490      Cori        1          0.25
## 1122       2    42        CA1       1.2894737      Cori        1          0.25
## 1123       2    43       POST       1.2984293      Cori        1          0.00
## 1124       2    43        CA1       0.9736842      Cori        1          0.00
## 1125       2    43      VISpm       1.3178808      Cori        1          0.00
## 1126       2    43       root       1.1538462      Cori        1          0.00
## 1127       2    43       VISl       1.2813853      Cori        1          0.00
## 1128       2    44        CA1       1.4000000      Cori        1          1.00
## 1129       2    44       POST       1.6910995      Cori        1          1.00
## 1130       2    44       root       1.0641026      Cori        1          1.00
## 1131       2    44       VISl       1.6666667      Cori        1          1.00
## 1132       2    44      VISpm       1.7715232      Cori        1          1.00
## 1133       2    45      VISpm       1.6456954      Cori        1          0.50
## 1134       2    45       root       1.2115385      Cori        1          0.50
## 1135       2    45        CA1       1.4052632      Cori        1          0.50
## 1136       2    45       POST       1.4240838      Cori        1          0.50
## 1137       2    45       VISl       1.2380952      Cori        1          0.50
## 1138       2    46        CA1       1.3894737      Cori        1          0.25
## 1139       2    46       POST       1.6544503      Cori        1          0.25
## 1140       2    46       root       1.3461538      Cori        1          0.25
## 1141       2    46       VISl       1.6839827      Cori        1          0.25
## 1142       2    46      VISpm       1.7582781      Cori        1          0.25
## 1143       2    47        CA1       1.3052632      Cori        1          0.00
## 1144       2    47      VISpm       1.6953642      Cori        1          0.00
## 1145       2    47       root       1.0961538      Cori        1          0.00
## 1146       2    47       POST       1.5497382      Cori        1          0.00
## 1147       2    47       VISl       1.4978355      Cori        1          0.00
## 1148       2    48        CA1       1.2210526      Cori        1          0.00
## 1149       2    48       POST       1.6649215      Cori        1          0.00
## 1150       2    48       root       0.9102564      Cori        1          0.00
## 1151       2    48       VISl       1.3809524      Cori        1          0.00
## 1152       2    48      VISpm       1.6192053      Cori        1          0.00
## 1153       2    49       root       1.0064103      Cori       -1          0.00
## 1154       2    49      VISpm       1.0662252      Cori       -1          0.00
## 1155       2    49        CA1       1.1263158      Cori       -1          0.00
## 1156       2    49       VISl       1.3549784      Cori       -1          0.00
## 1157       2    49       POST       0.8638743      Cori       -1          0.00
## 1158       2    50       POST       1.2041885      Cori        1          0.00
## 1159       2    50       root       1.1346154      Cori        1          0.00
## 1160       2    50      VISpm       1.2615894      Cori        1          0.00
## 1161       2    50       VISl       1.4069264      Cori        1          0.00
## 1162       2    50        CA1       1.2421053      Cori        1          0.00
## 1163       2    51        CA1       1.5578947      Cori       -1          0.00
## 1164       2    51       POST       1.4450262      Cori       -1          0.00
## 1165       2    51       root       0.9358974      Cori       -1          0.00
## 1166       2    51       VISl       1.6017316      Cori       -1          0.00
## 1167       2    51      VISpm       1.4900662      Cori       -1          0.00
## 1168       2    52        CA1       1.1789474      Cori        1          0.00
## 1169       2    52       POST       0.8795812      Cori        1          0.00
## 1170       2    52       root       1.1602564      Cori        1          0.00
## 1171       2    52       VISl       1.3809524      Cori        1          0.00
## 1172       2    52      VISpm       1.2880795      Cori        1          0.00
## 1173       2    53        CA1       1.1263158      Cori        1          0.00
## 1174       2    53       POST       1.3455497      Cori        1          0.00
## 1175       2    53       root       0.8269231      Cori        1          0.00
## 1176       2    53       VISl       1.4502165      Cori        1          0.00
## 1177       2    53      VISpm       1.3377483      Cori        1          0.00
## 1178       2    54        CA1       1.2684211      Cori        1          0.50
## 1179       2    54       POST       1.4764398      Cori        1          0.50
## 1180       2    54       root       0.8653846      Cori        1          0.50
## 1181       2    54       VISl       1.4329004      Cori        1          0.50
## 1182       2    54      VISpm       1.5562914      Cori        1          0.50
## 1183       2    55        CA1       1.3526316      Cori        1          1.00
## 1184       2    55       POST       1.4921466      Cori        1          1.00
## 1185       2    55       root       0.9551282      Cori        1          1.00
## 1186       2    55       VISl       1.4718615      Cori        1          1.00
## 1187       2    55      VISpm       1.5728477      Cori        1          1.00
## 1188       2    56       VISl       1.3073593      Cori       -1          0.50
## 1189       2    56        CA1       1.3736842      Cori       -1          0.50
## 1190       2    56       root       0.9807692      Cori       -1          0.50
## 1191       2    56       POST       1.3193717      Cori       -1          0.50
## 1192       2    56      VISpm       1.5894040      Cori       -1          0.50
## 1193       2    57       root       1.0256410      Cori        1          0.50
## 1194       2    57      VISpm       1.6092715      Cori        1          0.50
## 1195       2    57       POST       1.6230366      Cori        1          0.50
## 1196       2    57       VISl       1.3636364      Cori        1          0.50
## 1197       2    57        CA1       1.2631579      Cori        1          0.50
## 1198       2    58       root       0.9423077      Cori       -1          0.00
## 1199       2    58       POST       1.4083770      Cori       -1          0.00
## 1200       2    58       VISl       1.3463203      Cori       -1          0.00
## 1201       2    58        CA1       1.2421053      Cori       -1          0.00
## 1202       2    58      VISpm       1.5397351      Cori       -1          0.00
## 1203       2    59       root       1.0448718      Cori       -1          0.00
## 1204       2    59       VISl       1.4502165      Cori       -1          0.00
## 1205       2    59      VISpm       1.4768212      Cori       -1          0.00
## 1206       2    59        CA1       1.2315789      Cori       -1          0.00
## 1207       2    59       POST       1.3036649      Cori       -1          0.00
## 1208       2    60        CA1       0.9000000      Cori        1          0.00
## 1209       2    60       POST       1.0575916      Cori        1          0.00
## 1210       2    60       root       0.7628205      Cori        1          0.00
## 1211       2    60       VISl       1.2164502      Cori        1          0.00
## 1212       2    60      VISpm       1.3112583      Cori        1          0.00
## 1213       2    61        CA1       1.2631579      Cori        1          1.00
## 1214       2    61       VISl       1.3290043      Cori        1          1.00
## 1215       2    61       POST       1.4240838      Cori        1          1.00
## 1216       2    61      VISpm       1.6788079      Cori        1          1.00
## 1217       2    61       root       1.0384615      Cori        1          1.00
## 1218       2    62       POST       1.0471204      Cori        1          0.00
## 1219       2    62       root       1.2307692      Cori        1          0.00
## 1220       2    62      VISpm       1.2615894      Cori        1          0.00
## 1221       2    62        CA1       1.0421053      Cori        1          0.00
## 1222       2    62       VISl       1.3722944      Cori        1          0.00
## 1223       2    63        CA1       1.0736842      Cori        1          0.00
## 1224       2    63       POST       1.1675393      Cori        1          0.00
## 1225       2    63       root       0.9423077      Cori        1          0.00
## 1226       2    63       VISl       1.1904762      Cori        1          0.00
## 1227       2    63      VISpm       1.2317881      Cori        1          0.00
## 1228       2    64        CA1       1.1105263      Cori        1          0.25
## 1229       2    64       POST       1.1989529      Cori        1          0.25
## 1230       2    64       root       1.0128205      Cori        1          0.25
## 1231       2    64       VISl       1.3982684      Cori        1          0.25
## 1232       2    64      VISpm       1.4139073      Cori        1          0.25
## 1233       2    65        CA1       1.4263158      Cori       -1          0.25
## 1234       2    65       POST       1.6335079      Cori       -1          0.25
## 1235       2    65       root       0.8141026      Cori       -1          0.25
## 1236       2    65       VISl       1.5541126      Cori       -1          0.25
## 1237       2    65      VISpm       1.6390728      Cori       -1          0.25
## 1238       2    66        CA1       1.2000000      Cori        1          1.00
## 1239       2    66       VISl       1.4372294      Cori        1          1.00
## 1240       2    66       root       1.0448718      Cori        1          1.00
## 1241       2    66       POST       1.6544503      Cori        1          1.00
## 1242       2    66      VISpm       1.5629139      Cori        1          1.00
## 1243       2    67        CA1       1.4736842      Cori        1          0.00
## 1244       2    67       VISl       1.3679654      Cori        1          0.00
## 1245       2    67      VISpm       1.7980132      Cori        1          0.00
## 1246       2    67       POST       1.6649215      Cori        1          0.00
## 1247       2    67       root       0.9871795      Cori        1          0.00
## 1248       2    68        CA1       1.3157895      Cori        1          1.00
## 1249       2    68       POST       1.4869110      Cori        1          1.00
## 1250       2    68       root       0.9358974      Cori        1          1.00
## 1251       2    68       VISl       1.2900433      Cori        1          1.00
## 1252       2    68      VISpm       1.3112583      Cori        1          1.00
## 1253       2    69        CA1       1.1578947      Cori       -1          0.00
## 1254       2    69       POST       1.3141361      Cori       -1          0.00
## 1255       2    69       root       0.8269231      Cori       -1          0.00
## 1256       2    69       VISl       1.3549784      Cori       -1          0.00
## 1257       2    69      VISpm       1.3443709      Cori       -1          0.00
## 1258       2    70        CA1       0.9105263      Cori        1          0.00
## 1259       2    70       POST       0.8324607      Cori        1          0.00
## 1260       2    70       root       0.9551282      Cori        1          0.00
## 1261       2    70       VISl       1.2510823      Cori        1          0.00
## 1262       2    70      VISpm       1.0596026      Cori        1          0.00
## 1263       2    71       POST       1.5602094      Cori        1          0.00
## 1264       2    71      VISpm       1.5397351      Cori        1          0.00
## 1265       2    71       VISl       1.2813853      Cori        1          0.00
## 1266       2    71        CA1       1.2157895      Cori        1          0.00
## 1267       2    71       root       1.0512821      Cori        1          0.00
## 1268       2    72        CA1       0.8421053      Cori        1          0.00
## 1269       2    72       POST       0.8324607      Cori        1          0.00
## 1270       2    72      VISpm       0.9834437      Cori        1          0.00
## 1271       2    72       VISl       1.1601732      Cori        1          0.00
## 1272       2    72       root       0.7628205      Cori        1          0.00
## 1273       2    73       VISl       1.5281385      Cori        1          1.00
## 1274       2    73       POST       1.6910995      Cori        1          1.00
## 1275       2    73      VISpm       1.8211921      Cori        1          1.00
## 1276       2    73       root       1.2371795      Cori        1          1.00
## 1277       2    73        CA1       1.4789474      Cori        1          1.00
## 1278       2    74        CA1       1.0842105      Cori        1          0.00
## 1279       2    74      VISpm       0.9370861      Cori        1          0.00
## 1280       2    74       VISl       1.0432900      Cori        1          0.00
## 1281       2    74       root       0.7948718      Cori        1          0.00
## 1282       2    74       POST       0.8429319      Cori        1          0.00
## 1283       2    75       VISl       1.4242424      Cori        1          1.00
## 1284       2    75       root       0.9551282      Cori        1          1.00
## 1285       2    75      VISpm       1.6125828      Cori        1          1.00
## 1286       2    75        CA1       1.4315789      Cori        1          1.00
## 1287       2    75       POST       1.8848168      Cori        1          1.00
## 1288       2    76        CA1       1.0052632      Cori       -1          0.25
## 1289       2    76       POST       0.8219895      Cori       -1          0.25
## 1290       2    76       root       0.7948718      Cori       -1          0.25
## 1291       2    76       VISl       1.0735931      Cori       -1          0.25
## 1292       2    76      VISpm       0.9470199      Cori       -1          0.25
## 1293       2    77        CA1       1.1526316      Cori        1          0.25
## 1294       2    77       POST       1.3507853      Cori        1          0.25
## 1295       2    77       root       0.9615385      Cori        1          0.25
## 1296       2    77       VISl       1.2683983      Cori        1          0.25
## 1297       2    77      VISpm       1.6258278      Cori        1          0.25
## 1298       2    78       root       0.7628205      Cori       -1          0.00
## 1299       2    78       VISl       1.0692641      Cori       -1          0.00
## 1300       2    78      VISpm       1.2119205      Cori       -1          0.00
## 1301       2    78        CA1       1.0000000      Cori       -1          0.00
## 1302       2    78       POST       1.1151832      Cori       -1          0.00
## 1303       2    79        CA1       1.3894737      Cori        1          0.00
## 1304       2    79       POST       1.3350785      Cori        1          0.00
## 1305       2    79       root       0.9807692      Cori        1          0.00
## 1306       2    79       VISl       1.3982684      Cori        1          0.00
## 1307       2    79      VISpm       1.4437086      Cori        1          0.00
## 1308       2    80        CA1       1.3631579      Cori        1          0.50
## 1309       2    80       POST       1.6439791      Cori        1          0.50
## 1310       2    80       root       1.0320513      Cori        1          0.50
## 1311       2    80       VISl       1.5627706      Cori        1          0.50
## 1312       2    80      VISpm       1.5596026      Cori        1          0.50
## 1313       2    81       POST       1.7277487      Cori        1          0.50
## 1314       2    81       root       1.1923077      Cori        1          0.50
## 1315       2    81      VISpm       1.7483444      Cori        1          0.50
## 1316       2    81       VISl       1.5497835      Cori        1          0.50
## 1317       2    81        CA1       1.3105263      Cori        1          0.50
## 1318       2    82        CA1       1.1105263      Cori        1          0.00
## 1319       2    82       POST       1.6020942      Cori        1          0.00
## 1320       2    82       root       1.0192308      Cori        1          0.00
## 1321       2    82       VISl       1.3593074      Cori        1          0.00
## 1322       2    82      VISpm       1.9039735      Cori        1          0.00
## 1323       2    83        CA1       1.1000000      Cori        1          0.50
## 1324       2    83       POST       1.3979058      Cori        1          0.50
## 1325       2    83       root       0.9551282      Cori        1          0.50
## 1326       2    83       VISl       1.3203463      Cori        1          0.50
## 1327       2    83      VISpm       1.4470199      Cori        1          0.50
## 1328       2    84        CA1       1.2105263      Cori        1          1.00
## 1329       2    84       POST       1.7539267      Cori        1          1.00
## 1330       2    84       root       1.0384615      Cori        1          1.00
## 1331       2    84       VISl       1.4675325      Cori        1          1.00
## 1332       2    84      VISpm       1.7615894      Cori        1          1.00
## 1333       2    85        CA1       1.2263158      Cori        1          0.00
## 1334       2    85       POST       1.5916230      Cori        1          0.00
## 1335       2    85       root       1.1923077      Cori        1          0.00
## 1336       2    85       VISl       1.4718615      Cori        1          0.00
## 1337       2    85      VISpm       1.6688742      Cori        1          0.00
## 1338       2    86        CA1       1.1052632      Cori        1          0.25
## 1339       2    86       POST       1.3507853      Cori        1          0.25
## 1340       2    86       root       1.1602564      Cori        1          0.25
## 1341       2    86       VISl       1.6147186      Cori        1          0.25
## 1342       2    86      VISpm       1.4304636      Cori        1          0.25
## 1343       2    87        CA1       1.1736842      Cori        1          0.00
## 1344       2    87       POST       1.3979058      Cori        1          0.00
## 1345       2    87       root       1.0769231      Cori        1          0.00
## 1346       2    87       VISl       1.1774892      Cori        1          0.00
## 1347       2    87      VISpm       1.3973510      Cori        1          0.00
## 1348       2    88        CA1       0.9263158      Cori        1          0.00
## 1349       2    88       POST       1.7068063      Cori        1          0.00
## 1350       2    88       root       0.9487179      Cori        1          0.00
## 1351       2    88       VISl       1.3809524      Cori        1          0.00
## 1352       2    88      VISpm       1.6490066      Cori        1          0.00
## 1353       2    89        CA1       1.0842105      Cori        1          0.00
## 1354       2    89       POST       1.1151832      Cori        1          0.00
## 1355       2    89       root       1.0064103      Cori        1          0.00
## 1356       2    89       VISl       1.1515152      Cori        1          0.00
## 1357       2    89      VISpm       1.3145695      Cori        1          0.00
## 1358       2    90        CA1       0.9263158      Cori        1          0.00
## 1359       2    90       POST       1.2460733      Cori        1          0.00
## 1360       2    90       root       0.9294872      Cori        1          0.00
## 1361       2    90       VISl       1.1125541      Cori        1          0.00
## 1362       2    90      VISpm       1.1655629      Cori        1          0.00
## 1363       2    91        CA1       0.9105263      Cori       -1          0.25
## 1364       2    91       VISl       1.0173160      Cori       -1          0.25
## 1365       2    91      VISpm       1.0860927      Cori       -1          0.25
## 1366       2    91       POST       0.9424084      Cori       -1          0.25
## 1367       2    91       root       0.8525641      Cori       -1          0.25
## 1368       2    92        CA1       1.0526316      Cori       -1          1.00
## 1369       2    92       POST       1.1884817      Cori       -1          1.00
## 1370       2    92       root       0.8782051      Cori       -1          1.00
## 1371       2    92       VISl       1.1818182      Cori       -1          1.00
## 1372       2    92      VISpm       1.3741722      Cori       -1          1.00
## 1373       2    93        CA1       0.9947368      Cori        1          1.00
## 1374       2    93       POST       0.7696335      Cori        1          1.00
## 1375       2    93       root       0.9807692      Cori        1          1.00
## 1376       2    93       VISl       1.0649351      Cori        1          1.00
## 1377       2    93      VISpm       1.0066225      Cori        1          1.00
## 1378       2    94        CA1       0.9578947      Cori        1          0.25
## 1379       2    94       VISl       1.2554113      Cori        1          0.25
## 1380       2    94       POST       1.1465969      Cori        1          0.25
## 1381       2    94       root       0.8461538      Cori        1          0.25
## 1382       2    94      VISpm       1.2549669      Cori        1          0.25
## 1383       2    95        CA1       1.1210526      Cori        1          0.00
## 1384       2    95       POST       1.4764398      Cori        1          0.00
## 1385       2    95       root       0.9551282      Cori        1          0.00
## 1386       2    95       VISl       1.4025974      Cori        1          0.00
## 1387       2    95      VISpm       1.4370861      Cori        1          0.00
## 1388       2    96       VISl       1.1082251      Cori       -1          0.00
## 1389       2    96       POST       1.1047120      Cori       -1          0.00
## 1390       2    96      VISpm       1.1920530      Cori       -1          0.00
## 1391       2    96       root       1.0064103      Cori       -1          0.00
## 1392       2    96        CA1       1.0157895      Cori       -1          0.00
## 1393       2    97        CA1       0.7315789      Cori        1          0.00
## 1394       2    97       POST       1.2617801      Cori        1          0.00
## 1395       2    97       root       0.9038462      Cori        1          0.00
## 1396       2    97       VISl       1.1168831      Cori        1          0.00
## 1397       2    97      VISpm       1.3576159      Cori        1          0.00
## 1398       2    98        CA1       1.0473684      Cori        1          0.25
## 1399       2    98       POST       0.9005236      Cori        1          0.25
## 1400       2    98       root       0.9166667      Cori        1          0.25
## 1401       2    98       VISl       1.2380952      Cori        1          0.25
## 1402       2    98      VISpm       0.8377483      Cori        1          0.25
## 1403       2    99        CA1       0.8263158      Cori       -1          0.25
## 1404       2    99       POST       1.1465969      Cori       -1          0.25
## 1405       2    99       root       0.9294872      Cori       -1          0.25
## 1406       2    99       VISl       1.1991342      Cori       -1          0.25
## 1407       2    99      VISpm       1.1523179      Cori       -1          0.25
## 1408       2   100        CA1       1.2105263      Cori        1          0.00
## 1409       2   100       POST       1.5235602      Cori        1          0.00
## 1410       2   100       root       0.9230769      Cori        1          0.00
## 1411       2   100       VISl       1.4199134      Cori        1          0.00
## 1412       2   100      VISpm       1.3377483      Cori        1          0.00
## 1413       2   101       root       1.0641026      Cori        1          0.50
## 1414       2   101       VISl       1.6450216      Cori        1          0.50
## 1415       2   101      VISpm       1.5993377      Cori        1          0.50
## 1416       2   101        CA1       1.2736842      Cori        1          0.50
## 1417       2   101       POST       1.4607330      Cori        1          0.50
## 1418       2   102        CA1       0.9421053      Cori       -1          0.50
## 1419       2   102       root       0.8205128      Cori       -1          0.50
## 1420       2   102       POST       0.9790576      Cori       -1          0.50
## 1421       2   102       VISl       1.1255411      Cori       -1          0.50
## 1422       2   102      VISpm       1.2715232      Cori       -1          0.50
## 1423       2   103        CA1       1.3157895      Cori       -1          1.00
## 1424       2   103       POST       1.0523560      Cori       -1          1.00
## 1425       2   103       root       1.0192308      Cori       -1          1.00
## 1426       2   103       VISl       1.3549784      Cori       -1          1.00
## 1427       2   103      VISpm       1.3211921      Cori       -1          1.00
## 1428       2   104       POST       1.2146597      Cori        1          1.00
## 1429       2   104      VISpm       1.3311258      Cori        1          1.00
## 1430       2   104        CA1       1.0578947      Cori        1          1.00
## 1431       2   104       root       0.9166667      Cori        1          1.00
## 1432       2   104       VISl       1.2294372      Cori        1          1.00
## 1433       2   105        CA1       1.1842105      Cori        1          0.00
## 1434       2   105       root       0.9294872      Cori        1          0.00
## 1435       2   105      VISpm       1.7251656      Cori        1          0.00
## 1436       2   105       VISl       1.4285714      Cori        1          0.00
## 1437       2   105       POST       1.6701571      Cori        1          0.00
## 1438       2   106        CA1       0.9210526      Cori       -1          0.00
## 1439       2   106       POST       1.3717277      Cori       -1          0.00
## 1440       2   106       root       1.0320513      Cori       -1          0.00
## 1441       2   106       VISl       1.3636364      Cori       -1          0.00
## 1442       2   106      VISpm       1.8509934      Cori       -1          0.00
## 1443       2   107      VISpm       1.5331126      Cori       -1          0.00
## 1444       2   107       VISl       1.5930736      Cori       -1          0.00
## 1445       2   107       POST       1.5654450      Cori       -1          0.00
## 1446       2   107       root       1.0320513      Cori       -1          0.00
## 1447       2   107        CA1       1.0473684      Cori       -1          0.00
## 1448       2   108        CA1       1.0526316      Cori       -1          0.00
## 1449       2   108       POST       1.0628272      Cori       -1          0.00
## 1450       2   108       root       0.9871795      Cori       -1          0.00
## 1451       2   108       VISl       1.2640693      Cori       -1          0.00
## 1452       2   108      VISpm       1.3145695      Cori       -1          0.00
## 1453       2   109        CA1       1.1526316      Cori        1          0.00
## 1454       2   109       POST       1.0000000      Cori        1          0.00
## 1455       2   109       root       1.0128205      Cori        1          0.00
## 1456       2   109       VISl       1.1558442      Cori        1          0.00
## 1457       2   109      VISpm       1.1887417      Cori        1          0.00
## 1458       2   110        CA1       1.4421053      Cori        1          0.00
## 1459       2   110       POST       1.7748691      Cori        1          0.00
## 1460       2   110       root       0.8974359      Cori        1          0.00
## 1461       2   110       VISl       1.5151515      Cori        1          0.00
## 1462       2   110      VISpm       1.7947020      Cori        1          0.00
## 1463       2   111       root       0.8717949      Cori        1          1.00
## 1464       2   111       POST       1.5602094      Cori        1          1.00
## 1465       2   111      VISpm       1.6059603      Cori        1          1.00
## 1466       2   111        CA1       1.2315789      Cori        1          1.00
## 1467       2   111       VISl       1.2597403      Cori        1          1.00
## 1468       2   112        CA1       1.2210526      Cori        1          0.25
## 1469       2   112       POST       1.3246073      Cori        1          0.25
## 1470       2   112       root       0.8589744      Cori        1          0.25
## 1471       2   112       VISl       1.3376623      Cori        1          0.25
## 1472       2   112      VISpm       1.3973510      Cori        1          0.25
## 1473       2   113        CA1       1.1263158      Cori       -1          0.50
## 1474       2   113       POST       0.9162304      Cori       -1          0.50
## 1475       2   113       root       1.0128205      Cori       -1          0.50
## 1476       2   113       VISl       1.3030303      Cori       -1          0.50
## 1477       2   113      VISpm       1.0860927      Cori       -1          0.50
## 1478       2   114        CA1       1.1000000      Cori        1          0.00
## 1479       2   114       POST       1.5654450      Cori        1          0.00
## 1480       2   114       root       1.0641026      Cori        1          0.00
## 1481       2   114       VISl       1.3896104      Cori        1          0.00
## 1482       2   114      VISpm       1.6357616      Cori        1          0.00
## 1483       2   115        CA1       1.3894737      Cori        1          0.00
## 1484       2   115       POST       1.6387435      Cori        1          0.00
## 1485       2   115       root       1.3333333      Cori        1          0.00
## 1486       2   115       VISl       1.5021645      Cori        1          0.00
## 1487       2   115      VISpm       2.0264901      Cori        1          0.00
## 1488       2   116      VISpm       1.4701987      Cori        1          0.25
## 1489       2   116        CA1       1.2368421      Cori        1          0.25
## 1490       2   116       VISl       1.2813853      Cori        1          0.25
## 1491       2   116       POST       1.2146597      Cori        1          0.25
## 1492       2   116       root       1.0000000      Cori        1          0.25
## 1493       2   117      VISpm       1.5165563      Cori        1          0.00
## 1494       2   117       VISl       1.3636364      Cori        1          0.00
## 1495       2   117        CA1       1.1684211      Cori        1          0.00
## 1496       2   117       root       0.9487179      Cori        1          0.00
## 1497       2   117       POST       1.2303665      Cori        1          0.00
## 1498       2   118       root       0.8333333      Cori       -1          0.00
## 1499       2   118        CA1       0.9368421      Cori       -1          0.00
## 1500       2   118       VISl       1.2121212      Cori       -1          0.00
## 1501       2   118      VISpm       1.4403974      Cori       -1          0.00
## 1502       2   118       POST       1.3717277      Cori       -1          0.00
## 1503       2   119       VISl       1.2727273      Cori        1          0.00
## 1504       2   119       root       0.9423077      Cori        1          0.00
## 1505       2   119        CA1       1.0105263      Cori        1          0.00
## 1506       2   119      VISpm       1.2119205      Cori        1          0.00
## 1507       2   119       POST       1.1570681      Cori        1          0.00
## 1508       2   120        CA1       1.2263158      Cori        1          0.00
## 1509       2   120       POST       1.2931937      Cori        1          0.00
## 1510       2   120       root       0.8525641      Cori        1          0.00
## 1511       2   120       VISl       1.2424242      Cori        1          0.00
## 1512       2   120      VISpm       1.7052980      Cori        1          0.00
## 1513       2   121        CA1       1.0368421      Cori       -1          0.00
## 1514       2   121       POST       1.3089005      Cori       -1          0.00
## 1515       2   121       root       0.8846154      Cori       -1          0.00
## 1516       2   121       VISl       1.1385281      Cori       -1          0.00
## 1517       2   121      VISpm       1.4370861      Cori       -1          0.00
## 1518       2   122        CA1       0.9157895      Cori       -1          0.00
## 1519       2   122       POST       1.0261780      Cori       -1          0.00
## 1520       2   122       root       0.6666667      Cori       -1          0.00
## 1521       2   122       VISl       0.9134199      Cori       -1          0.00
## 1522       2   122      VISpm       1.3311258      Cori       -1          0.00
## 1523       2   123        CA1       1.2894737      Cori        1          0.00
## 1524       2   123       POST       1.5183246      Cori        1          0.00
## 1525       2   123       root       0.9102564      Cori        1          0.00
## 1526       2   123       VISl       1.4718615      Cori        1          0.00
## 1527       2   123      VISpm       1.6258278      Cori        1          0.00
## 1528       2   124      VISpm       1.3774834      Cori        1          0.50
## 1529       2   124       root       0.8012821      Cori        1          0.50
## 1530       2   124        CA1       0.8210526      Cori        1          0.50
## 1531       2   124       POST       1.1518325      Cori        1          0.50
## 1532       2   124       VISl       1.0000000      Cori        1          0.50
## 1533       2   125        CA1       0.8789474      Cori       -1          0.00
## 1534       2   125       POST       1.2460733      Cori       -1          0.00
## 1535       2   125       root       0.8012821      Cori       -1          0.00
## 1536       2   125       VISl       1.1125541      Cori       -1          0.00
## 1537       2   125      VISpm       1.2384106      Cori       -1          0.00
## 1538       2   126        CA1       0.8526316      Cori        1          0.00
##      leftcontrast contrastdiff avg_spike_count_session_mean
## 1            0.00          0.5                     1.587192
## 2            0.00          0.5                     1.587192
## 3            0.00          0.5                     1.587192
## 4            0.00          0.5                     1.587192
## 5            0.00          0.5                     1.587192
## 6            0.00          0.5                     1.587192
## 7            0.00          0.5                     1.587192
## 8            0.00          0.5                     1.587192
## 9            0.00            0                     1.587192
## 10           0.00            0                     1.587192
## 11           0.00            0                     1.587192
## 12           0.00            0                     1.587192
## 13           0.00            0                     1.587192
## 14           0.00            0                     1.587192
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## 1431         0.25         0.75                     1.236412
## 1432         0.25         0.75                     1.236412
## 1433         0.50         -0.5                     1.236412
## 1434         0.50         -0.5                     1.236412
## 1435         0.50         -0.5                     1.236412
## 1436         0.50         -0.5                     1.236412
## 1437         0.50         -0.5                     1.236412
## 1438         0.00            0                     1.236412
## 1439         0.00            0                     1.236412
## 1440         0.00            0                     1.236412
## 1441         0.00            0                     1.236412
## 1442         0.00            0                     1.236412
## 1443         0.00            0                     1.236412
## 1444         0.00            0                     1.236412
## 1445         0.00            0                     1.236412
## 1446         0.00            0                     1.236412
## 1447         0.00            0                     1.236412
## 1448         0.00            0                     1.236412
## 1449         0.00            0                     1.236412
## 1450         0.00            0                     1.236412
## 1451         0.00            0                     1.236412
## 1452         0.00            0                     1.236412
## 1453         0.00            0                     1.236412
## 1454         0.00            0                     1.236412
## 1455         0.00            0                     1.236412
## 1456         0.00            0                     1.236412
## 1457         0.00            0                     1.236412
## 1458         1.00           -1                     1.236412
## 1459         1.00           -1                     1.236412
## 1460         1.00           -1                     1.236412
## 1461         1.00           -1                     1.236412
## 1462         1.00           -1                     1.236412
## 1463         1.00            0                     1.236412
## 1464         1.00            0                     1.236412
## 1465         1.00            0                     1.236412
## 1466         1.00            0                     1.236412
## 1467         1.00            0                     1.236412
## 1468         0.00         0.25                     1.236412
## 1469         0.00         0.25                     1.236412
## 1470         0.00         0.25                     1.236412
## 1471         0.00         0.25                     1.236412
## 1472         0.00         0.25                     1.236412
## 1473         0.00          0.5                     1.236412
## 1474         0.00          0.5                     1.236412
## 1475         0.00          0.5                     1.236412
## 1476         0.00          0.5                     1.236412
## 1477         0.00          0.5                     1.236412
## 1478         1.00           -1                     1.236412
## 1479         1.00           -1                     1.236412
## 1480         1.00           -1                     1.236412
## 1481         1.00           -1                     1.236412
## 1482         1.00           -1                     1.236412
## 1483         0.50         -0.5                     1.236412
## 1484         0.50         -0.5                     1.236412
## 1485         0.50         -0.5                     1.236412
## 1486         0.50         -0.5                     1.236412
## 1487         0.50         -0.5                     1.236412
## 1488         1.00        -0.75                     1.236412
## 1489         1.00        -0.75                     1.236412
## 1490         1.00        -0.75                     1.236412
## 1491         1.00        -0.75                     1.236412
## 1492         1.00        -0.75                     1.236412
## 1493         0.50         -0.5                     1.236412
## 1494         0.50         -0.5                     1.236412
## 1495         0.50         -0.5                     1.236412
## 1496         0.50         -0.5                     1.236412
## 1497         0.50         -0.5                     1.236412
## 1498         0.00            0                     1.236412
## 1499         0.00            0                     1.236412
## 1500         0.00            0                     1.236412
## 1501         0.00            0                     1.236412
## 1502         0.00            0                     1.236412
## 1503         0.00            0                     1.236412
## 1504         0.00            0                     1.236412
## 1505         0.00            0                     1.236412
## 1506         0.00            0                     1.236412
## 1507         0.00            0                     1.236412
## 1508         1.00           -1                     1.236412
## 1509         1.00           -1                     1.236412
## 1510         1.00           -1                     1.236412
## 1511         1.00           -1                     1.236412
## 1512         1.00           -1                     1.236412
## 1513         0.00            0                     1.236412
## 1514         0.00            0                     1.236412
## 1515         0.00            0                     1.236412
## 1516         0.00            0                     1.236412
## 1517         0.00            0                     1.236412
## 1518         0.00            0                     1.236412
## 1519         0.00            0                     1.236412
## 1520         0.00            0                     1.236412
## 1521         0.00            0                     1.236412
## 1522         0.00            0                     1.236412
## 1523         0.00            0                     1.236412
## 1524         0.00            0                     1.236412
## 1525         0.00            0                     1.236412
## 1526         0.00            0                     1.236412
## 1527         0.00            0                     1.236412
## 1528         0.25         0.25                     1.236412
## 1529         0.25         0.25                     1.236412
## 1530         0.25         0.25                     1.236412
## 1531         0.25         0.25                     1.236412
## 1532         0.25         0.25                     1.236412
## 1533         0.00            0                     1.236412
## 1534         0.00            0                     1.236412
## 1535         0.00            0                     1.236412
## 1536         0.00            0                     1.236412
## 1537         0.00            0                     1.236412
## 1538         0.00            0                     1.236412
##      avg_spike_count_trial_mean feedback_numeric   PC107_score   PC4_score
## 1                     1.5322118                1   8.163190997  -4.9498046
## 2                     1.5322118                1   8.163190997  -4.9498046
## 3                     1.5322118                1   8.163190997  -4.9498046
## 4                     1.5322118                1   8.163190997  -4.9498046
## 5                     1.5322118                1   8.163190997  -4.9498046
## 6                     1.5322118                1   8.163190997  -4.9498046
## 7                     1.5322118                1   8.163190997  -4.9498046
## 8                     1.5322118                1   8.163190997  -4.9498046
## 9                     1.2828185                1 -78.817865473  -2.2270803
## 10                    1.2828185                1 -78.817865473  -2.2270803
## 11                    1.2828185                1 -78.817865473  -2.2270803
## 12                    1.2828185                1 -78.817865473  -2.2270803
## 13                    1.2828185                1 -78.817865473  -2.2270803
## 14                    1.2828185                1 -78.817865473  -2.2270803
## 15                    1.2828185                1 -78.817865473  -2.2270803
## 16                    1.2828185                1 -78.817865473  -2.2270803
## 17                    1.9495522               -1  -0.093567495   5.6571656
## 18                    1.9495522               -1  -0.093567495   5.6571656
## 19                    1.9495522               -1  -0.093567495   5.6571656
## 20                    1.9495522               -1  -0.093567495   5.6571656
## 21                    1.9495522               -1  -0.093567495   5.6571656
## 22                    1.9495522               -1  -0.093567495   5.6571656
## 23                    1.9495522               -1  -0.093567495   5.6571656
## 24                    1.9495522               -1  -0.093567495   5.6571656
## 25                    1.5117115               -1   3.659587124  -2.9362568
## 26                    1.5117115               -1   3.659587124  -2.9362568
## 27                    1.5117115               -1   3.659587124  -2.9362568
## 28                    1.5117115               -1   3.659587124  -2.9362568
## 29                    1.5117115               -1   3.659587124  -2.9362568
## 30                    1.5117115               -1   3.659587124  -2.9362568
## 31                    1.5117115               -1   3.659587124  -2.9362568
## 32                    1.5117115               -1   3.659587124  -2.9362568
## 33                    1.4678456               -1   2.071444566  -2.6508819
## 34                    1.4678456               -1   2.071444566  -2.6508819
## 35                    1.4678456               -1   2.071444566  -2.6508819
## 36                    1.4678456               -1   2.071444566  -2.6508819
## 37                    1.4678456               -1   2.071444566  -2.6508819
## 38                    1.4678456               -1   2.071444566  -2.6508819
## 39                    1.4678456               -1   2.071444566  -2.6508819
## 40                    1.4678456               -1   2.071444566  -2.6508819
## 41                    1.1012681                1   2.200675715   3.2935036
## 42                    1.1012681                1   2.200675715   3.2935036
## 43                    1.1012681                1   2.200675715   3.2935036
## 44                    1.1012681                1   2.200675715   3.2935036
## 45                    1.1012681                1   2.200675715   3.2935036
## 46                    1.1012681                1   2.200675715   3.2935036
## 47                    1.1012681                1   2.200675715   3.2935036
## 48                    1.1012681                1   2.200675715   3.2935036
## 49                    2.2128298                1  -1.704258608 -22.9618378
## 50                    2.2128298                1  -1.704258608 -22.9618378
## 51                    2.2128298                1  -1.704258608 -22.9618378
## 52                    2.2128298                1  -1.704258608 -22.9618378
## 53                    2.2128298                1  -1.704258608 -22.9618378
## 54                    2.2128298                1  -1.704258608 -22.9618378
## 55                    2.2128298                1  -1.704258608 -22.9618378
## 56                    2.2128298                1  -1.704258608 -22.9618378
## 57                    1.7004075                1  -1.199501331  -6.0359022
## 58                    1.7004075                1  -1.199501331  -6.0359022
## 59                    1.7004075                1  -1.199501331  -6.0359022
## 60                    1.7004075                1  -1.199501331  -6.0359022
## 61                    1.7004075                1  -1.199501331  -6.0359022
## 62                    1.7004075                1  -1.199501331  -6.0359022
## 63                    1.7004075                1  -1.199501331  -6.0359022
## 64                    1.7004075                1  -1.199501331  -6.0359022
## 65                    1.5704565                1   3.879710528  -2.2931182
## 66                    1.5704565                1   3.879710528  -2.2931182
## 67                    1.5704565                1   3.879710528  -2.2931182
## 68                    1.5704565                1   3.879710528  -2.2931182
## 69                    1.5704565                1   3.879710528  -2.2931182
## 70                    1.5704565                1   3.879710528  -2.2931182
## 71                    1.5704565                1   3.879710528  -2.2931182
## 72                    1.5704565                1   3.879710528  -2.2931182
## 73                    1.7709516                1   3.123052214   5.9892335
## 74                    1.7709516                1   3.123052214   5.9892335
## 75                    1.7709516                1   3.123052214   5.9892335
## 76                    1.7709516                1   3.123052214   5.9892335
## 77                    1.7709516                1   3.123052214   5.9892335
## 78                    1.7709516                1   3.123052214   5.9892335
## 79                    1.7709516                1   3.123052214   5.9892335
## 80                    1.7709516                1   3.123052214   5.9892335
## 81                    1.5452995                1  -1.402889895  11.1602280
## 82                    1.5452995                1  -1.402889895  11.1602280
## 83                    1.5452995                1  -1.402889895  11.1602280
## 84                    1.5452995                1  -1.402889895  11.1602280
## 85                    1.5452995                1  -1.402889895  11.1602280
## 86                    1.5452995                1  -1.402889895  11.1602280
## 87                    1.5452995                1  -1.402889895  11.1602280
## 88                    1.5452995                1  -1.402889895  11.1602280
## 89                    1.9359125                1   0.978642362  -7.3689096
## 90                    1.9359125                1   0.978642362  -7.3689096
## 91                    1.9359125                1   0.978642362  -7.3689096
## 92                    1.9359125                1   0.978642362  -7.3689096
## 93                    1.9359125                1   0.978642362  -7.3689096
## 94                    1.9359125                1   0.978642362  -7.3689096
## 95                    1.9359125                1   0.978642362  -7.3689096
## 96                    1.9359125                1   0.978642362  -7.3689096
## 97                    1.8962641               -1  -1.999384380 -10.7828018
## 98                    1.8962641               -1  -1.999384380 -10.7828018
## 99                    1.8962641               -1  -1.999384380 -10.7828018
## 100                   1.8962641               -1  -1.999384380 -10.7828018
## 101                   1.8962641               -1  -1.999384380 -10.7828018
## 102                   1.8962641               -1  -1.999384380 -10.7828018
## 103                   1.8962641               -1  -1.999384380 -10.7828018
## 104                   1.8962641               -1  -1.999384380 -10.7828018
## 105                   1.4884613               -1  -0.650459249   2.5785152
## 106                   1.4884613               -1  -0.650459249   2.5785152
## 107                   1.4884613               -1  -0.650459249   2.5785152
## 108                   1.4884613               -1  -0.650459249   2.5785152
## 109                   1.4884613               -1  -0.650459249   2.5785152
## 110                   1.4884613               -1  -0.650459249   2.5785152
## 111                   1.4884613               -1  -0.650459249   2.5785152
## 112                   1.4884613               -1  -0.650459249   2.5785152
## 113                   1.7502954               -1   5.067100702   6.7099155
## 114                   1.7502954               -1   5.067100702   6.7099155
## 115                   1.7502954               -1   5.067100702   6.7099155
## 116                   1.7502954               -1   5.067100702   6.7099155
## 117                   1.7502954               -1   5.067100702   6.7099155
## 118                   1.7502954               -1   5.067100702   6.7099155
## 119                   1.7502954               -1   5.067100702   6.7099155
## 120                   1.7502954               -1   5.067100702   6.7099155
## 121                   1.3920645               -1   6.763513544  -4.8311229
## 122                   1.3920645               -1   6.763513544  -4.8311229
## 123                   1.3920645               -1   6.763513544  -4.8311229
## 124                   1.3920645               -1   6.763513544  -4.8311229
## 125                   1.3920645               -1   6.763513544  -4.8311229
## 126                   1.3920645               -1   6.763513544  -4.8311229
## 127                   1.3920645               -1   6.763513544  -4.8311229
## 128                   1.3920645               -1   6.763513544  -4.8311229
## 129                   1.4274209                1  -4.296570392   0.2188383
## 130                   1.4274209                1  -4.296570392   0.2188383
## 131                   1.4274209                1  -4.296570392   0.2188383
## 132                   1.4274209                1  -4.296570392   0.2188383
## 133                   1.4274209                1  -4.296570392   0.2188383
## 134                   1.4274209                1  -4.296570392   0.2188383
## 135                   1.4274209                1  -4.296570392   0.2188383
## 136                   1.4274209                1  -4.296570392   0.2188383
## 137                   2.1294353                1  -0.976709721  48.7674514
## 138                   2.1294353                1  -0.976709721  48.7674514
## 139                   2.1294353                1  -0.976709721  48.7674514
## 140                   2.1294353                1  -0.976709721  48.7674514
## 141                   2.1294353                1  -0.976709721  48.7674514
## 142                   2.1294353                1  -0.976709721  48.7674514
## 143                   2.1294353                1  -0.976709721  48.7674514
## 144                   2.1294353                1  -0.976709721  48.7674514
## 145                   2.0565842                1  -0.869181856  -9.1291300
## 146                   2.0565842                1  -0.869181856  -9.1291300
## 147                   2.0565842                1  -0.869181856  -9.1291300
## 148                   2.0565842                1  -0.869181856  -9.1291300
## 149                   2.0565842                1  -0.869181856  -9.1291300
## 150                   2.0565842                1  -0.869181856  -9.1291300
## 151                   2.0565842                1  -0.869181856  -9.1291300
## 152                   2.0565842                1  -0.869181856  -9.1291300
## 153                   2.1075181                1  -0.150568367 -50.7156419
## 154                   2.1075181                1  -0.150568367 -50.7156419
## 155                   2.1075181                1  -0.150568367 -50.7156419
## 156                   2.1075181                1  -0.150568367 -50.7156419
## 157                   2.1075181                1  -0.150568367 -50.7156419
## 158                   2.1075181                1  -0.150568367 -50.7156419
## 159                   2.1075181                1  -0.150568367 -50.7156419
## 160                   2.1075181                1  -0.150568367 -50.7156419
## 161                   1.2427773                1   2.443539100  -3.3112370
## 162                   1.2427773                1   2.443539100  -3.3112370
## 163                   1.2427773                1   2.443539100  -3.3112370
## 164                   1.2427773                1   2.443539100  -3.3112370
## 165                   1.2427773                1   2.443539100  -3.3112370
## 166                   1.2427773                1   2.443539100  -3.3112370
## 167                   1.2427773                1   2.443539100  -3.3112370
## 168                   1.2427773                1   2.443539100  -3.3112370
## 169                   1.2480087               -1  -1.044211578  -6.0899104
## 170                   1.2480087               -1  -1.044211578  -6.0899104
## 171                   1.2480087               -1  -1.044211578  -6.0899104
## 172                   1.2480087               -1  -1.044211578  -6.0899104
## 173                   1.2480087               -1  -1.044211578  -6.0899104
## 174                   1.2480087               -1  -1.044211578  -6.0899104
## 175                   1.2480087               -1  -1.044211578  -6.0899104
## 176                   1.2480087               -1  -1.044211578  -6.0899104
## 177                   1.3323072               -1 -28.868709528  -8.9062458
## 178                   1.3323072               -1 -28.868709528  -8.9062458
## 179                   1.3323072               -1 -28.868709528  -8.9062458
## 180                   1.3323072               -1 -28.868709528  -8.9062458
## 181                   1.3323072               -1 -28.868709528  -8.9062458
## 182                   1.3323072               -1 -28.868709528  -8.9062458
## 183                   1.3323072               -1 -28.868709528  -8.9062458
## 184                   1.3323072               -1 -28.868709528  -8.9062458
## 185                   1.6878351                1  -0.753698512 -18.8004541
## 186                   1.6878351                1  -0.753698512 -18.8004541
## 187                   1.6878351                1  -0.753698512 -18.8004541
## 188                   1.6878351                1  -0.753698512 -18.8004541
## 189                   1.6878351                1  -0.753698512 -18.8004541
## 190                   1.6878351                1  -0.753698512 -18.8004541
## 191                   1.6878351                1  -0.753698512 -18.8004541
## 192                   1.6878351                1  -0.753698512 -18.8004541
## 193                   1.6995285                1   7.000967997  -6.5553378
## 194                   1.6995285                1   7.000967997  -6.5553378
## 195                   1.6995285                1   7.000967997  -6.5553378
## 196                   1.6995285                1   7.000967997  -6.5553378
## 197                   1.6995285                1   7.000967997  -6.5553378
## 198                   1.6995285                1   7.000967997  -6.5553378
## 199                   1.6995285                1   7.000967997  -6.5553378
## 200                   1.6995285                1   7.000967997  -6.5553378
## 201                   1.9886479                1   1.012557297  -9.7506520
## 202                   1.9886479                1   1.012557297  -9.7506520
## 203                   1.9886479                1   1.012557297  -9.7506520
## 204                   1.9886479                1   1.012557297  -9.7506520
## 205                   1.9886479                1   1.012557297  -9.7506520
## 206                   1.9886479                1   1.012557297  -9.7506520
## 207                   1.9886479                1   1.012557297  -9.7506520
## 208                   1.9886479                1   1.012557297  -9.7506520
## 209                   1.9617039                1   0.217578785  22.0259950
## 210                   1.9617039                1   0.217578785  22.0259950
## 211                   1.9617039                1   0.217578785  22.0259950
## 212                   1.9617039                1   0.217578785  22.0259950
## 213                   1.9617039                1   0.217578785  22.0259950
## 214                   1.9617039                1   0.217578785  22.0259950
## 215                   1.9617039                1   0.217578785  22.0259950
## 216                   1.9617039                1   0.217578785  22.0259950
## 217                   2.4332670               -1   1.194642337  31.5788072
## 218                   2.4332670               -1   1.194642337  31.5788072
## 219                   2.4332670               -1   1.194642337  31.5788072
## 220                   2.4332670               -1   1.194642337  31.5788072
## 221                   2.4332670               -1   1.194642337  31.5788072
## 222                   2.4332670               -1   1.194642337  31.5788072
## 223                   2.4332670               -1   1.194642337  31.5788072
## 224                   2.4332670               -1   1.194642337  31.5788072
## 225                   1.0651239                1   7.349524618   1.3022949
## 226                   1.0651239                1   7.349524618   1.3022949
## 227                   1.0651239                1   7.349524618   1.3022949
## 228                   1.0651239                1   7.349524618   1.3022949
## 229                   1.0651239                1   7.349524618   1.3022949
## 230                   1.0651239                1   7.349524618   1.3022949
## 231                   1.0651239                1   7.349524618   1.3022949
## 232                   1.0651239                1   7.349524618   1.3022949
## 233                   2.0314938                1   1.130878461 -12.7511870
## 234                   2.0314938                1   1.130878461 -12.7511870
## 235                   2.0314938                1   1.130878461 -12.7511870
## 236                   2.0314938                1   1.130878461 -12.7511870
## 237                   2.0314938                1   1.130878461 -12.7511870
## 238                   2.0314938                1   1.130878461 -12.7511870
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## 518                   1.4753812               -1   1.624648484   5.3914977
## 519                   1.4753812               -1   1.624648484   5.3914977
## 520                   1.4753812               -1   1.624648484   5.3914977
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## 552                   1.4426723                1  24.474156910  -3.8828436
## 553                   1.5279880                1   1.570506617  -4.5916815
## 554                   1.5279880                1   1.570506617  -4.5916815
## 555                   1.5279880                1   1.570506617  -4.5916815
## 556                   1.5279880                1   1.570506617  -4.5916815
## 557                   1.5279880                1   1.570506617  -4.5916815
## 558                   1.5279880                1   1.570506617  -4.5916815
## 559                   1.5279880                1   1.570506617  -4.5916815
## 560                   1.5279880                1   1.570506617  -4.5916815
## 561                   1.4768676                1  -3.692313240  -7.6591744
## 562                   1.4768676                1  -3.692313240  -7.6591744
## 563                   1.4768676                1  -3.692313240  -7.6591744
## 564                   1.4768676                1  -3.692313240  -7.6591744
## 565                   1.4768676                1  -3.692313240  -7.6591744
## 566                   1.4768676                1  -3.692313240  -7.6591744
## 567                   1.4768676                1  -3.692313240  -7.6591744
## 568                   1.4768676                1  -3.692313240  -7.6591744
## 569                   1.2835186                1   5.187719146  -0.9606179
## 570                   1.2835186                1   5.187719146  -0.9606179
## 571                   1.2835186                1   5.187719146  -0.9606179
## 572                   1.2835186                1   5.187719146  -0.9606179
## 573                   1.2835186                1   5.187719146  -0.9606179
## 574                   1.2835186                1   5.187719146  -0.9606179
## 575                   1.2835186                1   5.187719146  -0.9606179
## 576                   1.2835186                1   5.187719146  -0.9606179
## 577                   1.5208758                1   3.774567388  -3.9579636
## 578                   1.5208758                1   3.774567388  -3.9579636
## 579                   1.5208758                1   3.774567388  -3.9579636
## 580                   1.5208758                1   3.774567388  -3.9579636
## 581                   1.5208758                1   3.774567388  -3.9579636
## 582                   1.5208758                1   3.774567388  -3.9579636
## 583                   1.5208758                1   3.774567388  -3.9579636
## 584                   1.5208758                1   3.774567388  -3.9579636
## 585                   1.6108787                1   0.051100455  -2.9272293
## 586                   1.6108787                1   0.051100455  -2.9272293
## 587                   1.6108787                1   0.051100455  -2.9272293
## 588                   1.6108787                1   0.051100455  -2.9272293
## 589                   1.6108787                1   0.051100455  -2.9272293
## 590                   1.6108787                1   0.051100455  -2.9272293
## 591                   1.6108787                1   0.051100455  -2.9272293
## 592                   1.6108787                1   0.051100455  -2.9272293
## 593                   1.5794298                1  -0.722240686   7.9126831
## 594                   1.5794298                1  -0.722240686   7.9126831
## 595                   1.5794298                1  -0.722240686   7.9126831
## 596                   1.5794298                1  -0.722240686   7.9126831
## 597                   1.5794298                1  -0.722240686   7.9126831
## 598                   1.5794298                1  -0.722240686   7.9126831
## 599                   1.5794298                1  -0.722240686   7.9126831
## 600                   1.5794298                1  -0.722240686   7.9126831
## 601                   1.4407824                1   4.269333202  -1.1551737
## 602                   1.4407824                1   4.269333202  -1.1551737
## 603                   1.4407824                1   4.269333202  -1.1551737
## 604                   1.4407824                1   4.269333202  -1.1551737
## 605                   1.4407824                1   4.269333202  -1.1551737
## 606                   1.4407824                1   4.269333202  -1.1551737
## 607                   1.4407824                1   4.269333202  -1.1551737
## 608                   1.4407824                1   4.269333202  -1.1551737
## 609                   1.3349611               -1   3.752371296  -3.3054555
## 610                   1.3349611               -1   3.752371296  -3.3054555
## 611                   1.3349611               -1   3.752371296  -3.3054555
## 612                   1.3349611               -1   3.752371296  -3.3054555
## 613                   1.3349611               -1   3.752371296  -3.3054555
## 614                   1.3349611               -1   3.752371296  -3.3054555
## 615                   1.3349611               -1   3.752371296  -3.3054555
## 616                   1.3349611               -1   3.752371296  -3.3054555
## 617                   1.3523357                1  -4.136304374  -1.6579784
## 618                   1.3523357                1  -4.136304374  -1.6579784
## 619                   1.3523357                1  -4.136304374  -1.6579784
## 620                   1.3523357                1  -4.136304374  -1.6579784
## 621                   1.3523357                1  -4.136304374  -1.6579784
## 622                   1.3523357                1  -4.136304374  -1.6579784
## 623                   1.3523357                1  -4.136304374  -1.6579784
## 624                   1.3523357                1  -4.136304374  -1.6579784
## 625                   1.7765165                1  -1.850741239 -12.0946888
## 626                   1.7765165                1  -1.850741239 -12.0946888
## 627                   1.7765165                1  -1.850741239 -12.0946888
## 628                   1.7765165                1  -1.850741239 -12.0946888
## 629                   1.7765165                1  -1.850741239 -12.0946888
## 630                   1.7765165                1  -1.850741239 -12.0946888
## 631                   1.7765165                1  -1.850741239 -12.0946888
## 632                   1.7765165                1  -1.850741239 -12.0946888
## 633                   1.1526237               -1  -1.408967160   6.0868619
## 634                   1.1526237               -1  -1.408967160   6.0868619
## 635                   1.1526237               -1  -1.408967160   6.0868619
## 636                   1.1526237               -1  -1.408967160   6.0868619
## 637                   1.1526237               -1  -1.408967160   6.0868619
## 638                   1.1526237               -1  -1.408967160   6.0868619
## 639                   1.1526237               -1  -1.408967160   6.0868619
## 640                   1.1526237               -1  -1.408967160   6.0868619
## 641                   1.7878108                1  -0.617909419   1.5701055
## 642                   1.7878108                1  -0.617909419   1.5701055
## 643                   1.7878108                1  -0.617909419   1.5701055
## 644                   1.7878108                1  -0.617909419   1.5701055
## 645                   1.7878108                1  -0.617909419   1.5701055
## 646                   1.7878108                1  -0.617909419   1.5701055
## 647                   1.7878108                1  -0.617909419   1.5701055
## 648                   1.7878108                1  -0.617909419   1.5701055
## 649                   1.3901834                1  -1.788698097   2.7902411
## 650                   1.3901834                1  -1.788698097   2.7902411
## 651                   1.3901834                1  -1.788698097   2.7902411
## 652                   1.3901834                1  -1.788698097   2.7902411
## 653                   1.3901834                1  -1.788698097   2.7902411
## 654                   1.3901834                1  -1.788698097   2.7902411
## 655                   1.3901834                1  -1.788698097   2.7902411
## 656                   1.3901834                1  -1.788698097   2.7902411
## 657                   1.9383372                1   2.993913455 -18.9806393
## 658                   1.9383372                1   2.993913455 -18.9806393
## 659                   1.9383372                1   2.993913455 -18.9806393
## 660                   1.9383372                1   2.993913455 -18.9806393
## 661                   1.9383372                1   2.993913455 -18.9806393
## 662                   1.9383372                1   2.993913455 -18.9806393
## 663                   1.9383372                1   2.993913455 -18.9806393
## 664                   1.9383372                1   2.993913455 -18.9806393
## 665                   1.9917628                1  -0.340273710 -28.6836680
## 666                   1.9917628                1  -0.340273710 -28.6836680
## 667                   1.9917628                1  -0.340273710 -28.6836680
## 668                   1.9917628                1  -0.340273710 -28.6836680
## 669                   1.9917628                1  -0.340273710 -28.6836680
## 670                   1.9917628                1  -0.340273710 -28.6836680
## 671                   1.9917628                1  -0.340273710 -28.6836680
## 672                   1.9917628                1  -0.340273710 -28.6836680
## 673                   1.2946485               -1 -58.963830445   2.6435503
## 674                   1.2946485               -1 -58.963830445   2.6435503
## 675                   1.2946485               -1 -58.963830445   2.6435503
## 676                   1.2946485               -1 -58.963830445   2.6435503
## 677                   1.2946485               -1 -58.963830445   2.6435503
## 678                   1.2946485               -1 -58.963830445   2.6435503
## 679                   1.2946485               -1 -58.963830445   2.6435503
## 680                   1.2946485               -1 -58.963830445   2.6435503
## 681                   1.9044729                1  -1.589049813   5.2885183
## 682                   1.9044729                1  -1.589049813   5.2885183
## 683                   1.9044729                1  -1.589049813   5.2885183
## 684                   1.9044729                1  -1.589049813   5.2885183
## 685                   1.9044729                1  -1.589049813   5.2885183
## 686                   1.9044729                1  -1.589049813   5.2885183
## 687                   1.9044729                1  -1.589049813   5.2885183
## 688                   1.9044729                1  -1.589049813   5.2885183
## 689                   1.2951364               -1   1.812347452   3.6307002
## 690                   1.2951364               -1   1.812347452   3.6307002
## 691                   1.2951364               -1   1.812347452   3.6307002
## 692                   1.2951364               -1   1.812347452   3.6307002
## 693                   1.2951364               -1   1.812347452   3.6307002
## 694                   1.2951364               -1   1.812347452   3.6307002
## 695                   1.2951364               -1   1.812347452   3.6307002
## 696                   1.2951364               -1   1.812347452   3.6307002
## 697                   1.8877569                1  -2.107430351  11.8434037
## 698                   1.8877569                1  -2.107430351  11.8434037
## 699                   1.8877569                1  -2.107430351  11.8434037
## 700                   1.8877569                1  -2.107430351  11.8434037
## 701                   1.8877569                1  -2.107430351  11.8434037
## 702                   1.8877569                1  -2.107430351  11.8434037
## 703                   1.8877569                1  -2.107430351  11.8434037
## 704                   1.8877569                1  -2.107430351  11.8434037
## 705                   1.3570259               -1 -19.072590040  -3.1013884
## 706                   1.3570259               -1 -19.072590040  -3.1013884
## 707                   1.3570259               -1 -19.072590040  -3.1013884
## 708                   1.3570259               -1 -19.072590040  -3.1013884
## 709                   1.3570259               -1 -19.072590040  -3.1013884
## 710                   1.3570259               -1 -19.072590040  -3.1013884
## 711                   1.3570259               -1 -19.072590040  -3.1013884
## 712                   1.3570259               -1 -19.072590040  -3.1013884
## 713                   1.2883581               -1  -9.289052082  -1.7513763
## 714                   1.2883581               -1  -9.289052082  -1.7513763
## 715                   1.2883581               -1  -9.289052082  -1.7513763
## 716                   1.2883581               -1  -9.289052082  -1.7513763
## 717                   1.2883581               -1  -9.289052082  -1.7513763
## 718                   1.2883581               -1  -9.289052082  -1.7513763
## 719                   1.2883581               -1  -9.289052082  -1.7513763
## 720                   1.2883581               -1  -9.289052082  -1.7513763
## 721                   1.3748707               -1   3.516130000   3.2867341
## 722                   1.3748707               -1   3.516130000   3.2867341
## 723                   1.3748707               -1   3.516130000   3.2867341
## 724                   1.3748707               -1   3.516130000   3.2867341
## 725                   1.3748707               -1   3.516130000   3.2867341
## 726                   1.3748707               -1   3.516130000   3.2867341
## 727                   1.3748707               -1   3.516130000   3.2867341
## 728                   1.3748707               -1   3.516130000   3.2867341
## 729                   1.5908291               -1  -0.033369752  15.1288522
## 730                   1.5908291               -1  -0.033369752  15.1288522
## 731                   1.5908291               -1  -0.033369752  15.1288522
## 732                   1.5908291               -1  -0.033369752  15.1288522
## 733                   1.5908291               -1  -0.033369752  15.1288522
## 734                   1.5908291               -1  -0.033369752  15.1288522
## 735                   1.5908291               -1  -0.033369752  15.1288522
## 736                   1.5908291               -1  -0.033369752  15.1288522
## 737                   1.3096973                1   2.208740324   2.7731089
## 738                   1.3096973                1   2.208740324   2.7731089
## 739                   1.3096973                1   2.208740324   2.7731089
## 740                   1.3096973                1   2.208740324   2.7731089
## 741                   1.3096973                1   2.208740324   2.7731089
## 742                   1.3096973                1   2.208740324   2.7731089
## 743                   1.3096973                1   2.208740324   2.7731089
## 744                   1.3096973                1   2.208740324   2.7731089
## 745                   1.2712660               -1   4.843651354   6.5270584
## 746                   1.2712660               -1   4.843651354   6.5270584
## 747                   1.2712660               -1   4.843651354   6.5270584
## 748                   1.2712660               -1   4.843651354   6.5270584
## 749                   1.2712660               -1   4.843651354   6.5270584
## 750                   1.2712660               -1   4.843651354   6.5270584
## 751                   1.2712660               -1   4.843651354   6.5270584
## 752                   1.2712660               -1   4.843651354   6.5270584
## 753                   1.5529084                1  -7.448025142   7.2061410
## 754                   1.5529084                1  -7.448025142   7.2061410
## 755                   1.5529084                1  -7.448025142   7.2061410
## 756                   1.5529084                1  -7.448025142   7.2061410
## 757                   1.5529084                1  -7.448025142   7.2061410
## 758                   1.5529084                1  -7.448025142   7.2061410
## 759                   1.5529084                1  -7.448025142   7.2061410
## 760                   1.5529084                1  -7.448025142   7.2061410
## 761                   1.3449393               -1  -0.898466703  -0.5253520
## 762                   1.3449393               -1  -0.898466703  -0.5253520
## 763                   1.3449393               -1  -0.898466703  -0.5253520
## 764                   1.3449393               -1  -0.898466703  -0.5253520
## 765                   1.3449393               -1  -0.898466703  -0.5253520
## 766                   1.3449393               -1  -0.898466703  -0.5253520
## 767                   1.3449393               -1  -0.898466703  -0.5253520
## 768                   1.3449393               -1  -0.898466703  -0.5253520
## 769                   1.2032800                1   9.529040141   0.4411604
## 770                   1.2032800                1   9.529040141   0.4411604
## 771                   1.2032800                1   9.529040141   0.4411604
## 772                   1.2032800                1   9.529040141   0.4411604
## 773                   1.2032800                1   9.529040141   0.4411604
## 774                   1.2032800                1   9.529040141   0.4411604
## 775                   1.2032800                1   9.529040141   0.4411604
## 776                   1.2032800                1   9.529040141   0.4411604
## 777                   1.4207685                1  -0.465159887  -0.4110749
## 778                   1.4207685                1  -0.465159887  -0.4110749
## 779                   1.4207685                1  -0.465159887  -0.4110749
## 780                   1.4207685                1  -0.465159887  -0.4110749
## 781                   1.4207685                1  -0.465159887  -0.4110749
## 782                   1.4207685                1  -0.465159887  -0.4110749
## 783                   1.4207685                1  -0.465159887  -0.4110749
## 784                   1.4207685                1  -0.465159887  -0.4110749
## 785                   2.1580644                1  -1.438917590  -4.6877522
## 786                   2.1580644                1  -1.438917590  -4.6877522
## 787                   2.1580644                1  -1.438917590  -4.6877522
## 788                   2.1580644                1  -1.438917590  -4.6877522
## 789                   2.1580644                1  -1.438917590  -4.6877522
## 790                   2.1580644                1  -1.438917590  -4.6877522
## 791                   2.1580644                1  -1.438917590  -4.6877522
## 792                   2.1580644                1  -1.438917590  -4.6877522
## 793                   1.4017144               -1  -0.768029395   7.8203714
## 794                   1.4017144               -1  -0.768029395   7.8203714
## 795                   1.4017144               -1  -0.768029395   7.8203714
## 796                   1.4017144               -1  -0.768029395   7.8203714
## 797                   1.4017144               -1  -0.768029395   7.8203714
## 798                   1.4017144               -1  -0.768029395   7.8203714
## 799                   1.4017144               -1  -0.768029395   7.8203714
## 800                   1.4017144               -1  -0.768029395   7.8203714
## 801                   1.2866625               -1   3.761266392   4.2297454
## 802                   1.2866625               -1   3.761266392   4.2297454
## 803                   1.2866625               -1   3.761266392   4.2297454
## 804                   1.2866625               -1   3.761266392   4.2297454
## 805                   1.2866625               -1   3.761266392   4.2297454
## 806                   1.2866625               -1   3.761266392   4.2297454
## 807                   1.2866625               -1   3.761266392   4.2297454
## 808                   1.2866625               -1   3.761266392   4.2297454
## 809                   1.4502405               -1   6.782544618  12.8597066
## 810                   1.4502405               -1   6.782544618  12.8597066
## 811                   1.4502405               -1   6.782544618  12.8597066
## 812                   1.4502405               -1   6.782544618  12.8597066
## 813                   1.4502405               -1   6.782544618  12.8597066
## 814                   1.4502405               -1   6.782544618  12.8597066
## 815                   1.4502405               -1   6.782544618  12.8597066
## 816                   1.4502405               -1   6.782544618  12.8597066
## 817                   1.3004040               -1  12.882346742   4.5922464
## 818                   1.3004040               -1  12.882346742   4.5922464
## 819                   1.3004040               -1  12.882346742   4.5922464
## 820                   1.3004040               -1  12.882346742   4.5922464
## 821                   1.3004040               -1  12.882346742   4.5922464
## 822                   1.3004040               -1  12.882346742   4.5922464
## 823                   1.3004040               -1  12.882346742   4.5922464
## 824                   1.3004040               -1  12.882346742   4.5922464
## 825                   1.7758883                1  -1.887433604  -8.1790906
## 826                   1.7758883                1  -1.887433604  -8.1790906
## 827                   1.7758883                1  -1.887433604  -8.1790906
## 828                   1.7758883                1  -1.887433604  -8.1790906
## 829                   1.7758883                1  -1.887433604  -8.1790906
## 830                   1.7758883                1  -1.887433604  -8.1790906
## 831                   1.7758883                1  -1.887433604  -8.1790906
## 832                   1.7758883                1  -1.887433604  -8.1790906
## 833                   1.2272380               -1  -3.299625587   0.1900930
## 834                   1.2272380               -1  -3.299625587   0.1900930
## 835                   1.2272380               -1  -3.299625587   0.1900930
## 836                   1.2272380               -1  -3.299625587   0.1900930
## 837                   1.2272380               -1  -3.299625587   0.1900930
## 838                   1.2272380               -1  -3.299625587   0.1900930
## 839                   1.2272380               -1  -3.299625587   0.1900930
## 840                   1.2272380               -1  -3.299625587   0.1900930
## 841                   1.3249616                1  -0.940414514  10.5766732
## 842                   1.3249616                1  -0.940414514  10.5766732
## 843                   1.3249616                1  -0.940414514  10.5766732
## 844                   1.3249616                1  -0.940414514  10.5766732
## 845                   1.3249616                1  -0.940414514  10.5766732
## 846                   1.3249616                1  -0.940414514  10.5766732
## 847                   1.3249616                1  -0.940414514  10.5766732
## 848                   1.3249616                1  -0.940414514  10.5766732
## 849                   1.1909212                1   2.011109847  13.4455505
## 850                   1.1909212                1   2.011109847  13.4455505
## 851                   1.1909212                1   2.011109847  13.4455505
## 852                   1.1909212                1   2.011109847  13.4455505
## 853                   1.1909212                1   2.011109847  13.4455505
## 854                   1.1909212                1   2.011109847  13.4455505
## 855                   1.1909212                1   2.011109847  13.4455505
## 856                   1.1909212                1   2.011109847  13.4455505
## 857                   1.2670673               -1  -3.146489457  13.7743246
## 858                   1.2670673               -1  -3.146489457  13.7743246
## 859                   1.2670673               -1  -3.146489457  13.7743246
## 860                   1.2670673               -1  -3.146489457  13.7743246
## 861                   1.2670673               -1  -3.146489457  13.7743246
## 862                   1.2670673               -1  -3.146489457  13.7743246
## 863                   1.2670673               -1  -3.146489457  13.7743246
## 864                   1.2670673               -1  -3.146489457  13.7743246
## 865                   1.8755727               -1  -0.275575029 -38.0037781
## 866                   1.8755727               -1  -0.275575029 -38.0037781
## 867                   1.8755727               -1  -0.275575029 -38.0037781
## 868                   1.8755727               -1  -0.275575029 -38.0037781
## 869                   1.8755727               -1  -0.275575029 -38.0037781
## 870                   1.8755727               -1  -0.275575029 -38.0037781
## 871                   1.8755727               -1  -0.275575029 -38.0037781
## 872                   1.8755727               -1  -0.275575029 -38.0037781
## 873                   1.5530499               -1  -0.612070509   6.0391310
## 874                   1.5530499               -1  -0.612070509   6.0391310
## 875                   1.5530499               -1  -0.612070509   6.0391310
## 876                   1.5530499               -1  -0.612070509   6.0391310
## 877                   1.5530499               -1  -0.612070509   6.0391310
## 878                   1.5530499               -1  -0.612070509   6.0391310
## 879                   1.5530499               -1  -0.612070509   6.0391310
## 880                   1.5530499               -1  -0.612070509   6.0391310
## 881                   1.4067891               -1  28.445877439   6.6324686
## 882                   1.4067891               -1  28.445877439   6.6324686
## 883                   1.4067891               -1  28.445877439   6.6324686
## 884                   1.4067891               -1  28.445877439   6.6324686
## 885                   1.4067891               -1  28.445877439   6.6324686
## 886                   1.4067891               -1  28.445877439   6.6324686
## 887                   1.4067891               -1  28.445877439   6.6324686
## 888                   1.4067891               -1  28.445877439   6.6324686
## 889                   1.2402883               -1   5.441537352   3.9425080
## 890                   1.2402883               -1   5.441537352   3.9425080
## 891                   1.2402883               -1   5.441537352   3.9425080
## 892                   1.2402883               -1   5.441537352   3.9425080
## 893                   1.2402883               -1   5.441537352   3.9425080
## 894                   1.2402883               -1   5.441537352   3.9425080
## 895                   1.2402883               -1   5.441537352   3.9425080
## 896                   1.2402883               -1   5.441537352   3.9425080
## 897                   1.8457257               -1  -1.463280478  95.8695047
## 898                   1.8457257               -1  -1.463280478  95.8695047
## 899                   1.8457257               -1  -1.463280478  95.8695047
## 900                   1.8457257               -1  -1.463280478  95.8695047
## 901                   1.8457257               -1  -1.463280478  95.8695047
## 902                   1.8457257               -1  -1.463280478  95.8695047
## 903                   1.8457257               -1  -1.463280478  95.8695047
## 904                   1.8457257               -1  -1.463280478  95.8695047
## 905                   1.3160922               -1   1.895401661  12.8587850
## 906                   1.3160922               -1   1.895401661  12.8587850
## 907                   1.3160922               -1   1.895401661  12.8587850
## 908                   1.3160922               -1   1.895401661  12.8587850
## 909                   1.3160922               -1   1.895401661  12.8587850
## 910                   1.3160922               -1   1.895401661  12.8587850
## 911                   1.3160922               -1   1.895401661  12.8587850
## 912                   1.3160922               -1   1.895401661  12.8587850
## 913                   1.5749073               -1  -0.072553785  31.9111229
## 914                   1.5749073               -1  -0.072553785  31.9111229
## 915                   1.5749073               -1  -0.072553785  31.9111229
## 916                   1.5749073               -1  -0.072553785  31.9111229
## 917                   1.5749073               -1  -0.072553785  31.9111229
## 918                   0.9838353                1  -9.211696967  -0.7232890
## 919                   0.9838353                1  -9.211696967  -0.7232890
## 920                   0.9838353                1  -9.211696967  -0.7232890
## 921                   0.9838353                1  -9.211696967  -0.7232890
## 922                   0.9838353                1  -9.211696967  -0.7232890
## 923                   1.2315163               -1            NA          NA
## 924                   1.2315163               -1            NA          NA
## 925                   1.2315163               -1            NA          NA
## 926                   1.2315163               -1            NA          NA
## 927                   1.2315163               -1            NA          NA
## 928                   1.2502289                1            NA          NA
## 929                   1.2502289                1            NA          NA
## 930                   1.2502289                1            NA          NA
## 931                   1.2502289                1            NA          NA
## 932                   1.2502289                1            NA          NA
## 933                   1.1968094               -1            NA          NA
## 934                   1.1968094               -1            NA          NA
## 935                   1.1968094               -1            NA          NA
## 936                   1.1968094               -1            NA          NA
## 937                   1.1968094               -1            NA          NA
## 938                   0.9540957                1 -14.139437022  -2.6540392
## 939                   0.9540957                1 -14.139437022  -2.6540392
## 940                   0.9540957                1 -14.139437022  -2.6540392
## 941                   0.9540957                1 -14.139437022  -2.6540392
## 942                   0.9540957                1 -14.139437022  -2.6540392
## 943                   1.3743917                1            NA          NA
## 944                   1.3743917                1            NA          NA
## 945                   1.3743917                1            NA          NA
## 946                   1.3743917                1            NA          NA
## 947                   1.3743917                1            NA          NA
## 948                   1.6644551                1            NA          NA
## 949                   1.6644551                1            NA          NA
## 950                   1.6644551                1            NA          NA
## 951                   1.6644551                1            NA          NA
## 952                   1.6644551                1            NA          NA
## 953                   1.1020308               -1  -3.501746372  -1.5905680
## 954                   1.1020308               -1  -3.501746372  -1.5905680
## 955                   1.1020308               -1  -3.501746372  -1.5905680
## 956                   1.1020308               -1  -3.501746372  -1.5905680
## 957                   1.1020308               -1  -3.501746372  -1.5905680
## 958                   0.8568168                1 -17.487570908   3.3384440
## 959                   0.8568168                1 -17.487570908   3.3384440
## 960                   0.8568168                1 -17.487570908   3.3384440
## 961                   0.8568168                1 -17.487570908   3.3384440
## 962                   0.8568168                1 -17.487570908   3.3384440
## 963                   1.3453639                1            NA          NA
## 964                   1.3453639                1            NA          NA
## 965                   1.3453639                1            NA          NA
## 966                   1.3453639                1            NA          NA
## 967                   1.3453639                1            NA          NA
## 968                   1.4376195                1            NA          NA
## 969                   1.4376195                1            NA          NA
## 970                   1.4376195                1            NA          NA
## 971                   1.4376195                1            NA          NA
## 972                   1.4376195                1            NA          NA
## 973                   1.4687618               -1   1.737128082 -11.3037841
## 974                   1.4687618               -1   1.737128082 -11.3037841
## 975                   1.4687618               -1   1.737128082 -11.3037841
## 976                   1.4687618               -1   1.737128082 -11.3037841
## 977                   1.4687618               -1   1.737128082 -11.3037841
## 978                   1.3007003                1   3.022165973  -4.1214799
## 979                   1.3007003                1   3.022165973  -4.1214799
## 980                   1.3007003                1   3.022165973  -4.1214799
## 981                   1.3007003                1   3.022165973  -4.1214799
## 982                   1.3007003                1   3.022165973  -4.1214799
## 983                   1.2965605               -1            NA          NA
## 984                   1.2965605               -1            NA          NA
## 985                   1.2965605               -1            NA          NA
## 986                   1.2965605               -1            NA          NA
## 987                   1.2965605               -1            NA          NA
## 988                   1.3909824                1            NA          NA
## 989                   1.3909824                1            NA          NA
## 990                   1.3909824                1            NA          NA
## 991                   1.3909824                1            NA          NA
## 992                   1.3909824                1            NA          NA
## 993                   1.4553136                1   0.636907410 -19.5202184
## 994                   1.4553136                1   0.636907410 -19.5202184
## 995                   1.4553136                1   0.636907410 -19.5202184
## 996                   1.4553136                1   0.636907410 -19.5202184
## 997                   1.4553136                1   0.636907410 -19.5202184
## 998                   1.2576447                1            NA          NA
## 999                   1.2576447                1            NA          NA
## 1000                  1.2576447                1            NA          NA
## 1001                  1.2576447                1            NA          NA
## 1002                  1.2576447                1            NA          NA
## 1003                  1.2320659               -1            NA          NA
## 1004                  1.2320659               -1            NA          NA
## 1005                  1.2320659               -1            NA          NA
## 1006                  1.2320659               -1            NA          NA
## 1007                  1.2320659               -1            NA          NA
## 1008                  1.2410250               -1   3.732574138  -3.9454646
## 1009                  1.2410250               -1   3.732574138  -3.9454646
## 1010                  1.2410250               -1   3.732574138  -3.9454646
## 1011                  1.2410250               -1   3.732574138  -3.9454646
## 1012                  1.2410250               -1   3.732574138  -3.9454646
## 1013                  1.3480066                1  -1.010017531  -5.3393615
## 1014                  1.3480066                1  -1.010017531  -5.3393615
## 1015                  1.3480066                1  -1.010017531  -5.3393615
## 1016                  1.3480066                1  -1.010017531  -5.3393615
## 1017                  1.3480066                1  -1.010017531  -5.3393615
## 1018                  1.3409965               -1  -0.240788347 -11.0931672
## 1019                  1.3409965               -1  -0.240788347 -11.0931672
## 1020                  1.3409965               -1  -0.240788347 -11.0931672
## 1021                  1.3409965               -1  -0.240788347 -11.0931672
## 1022                  1.3409965               -1  -0.240788347 -11.0931672
## 1023                  1.3788807                1            NA          NA
## 1024                  1.3788807                1            NA          NA
## 1025                  1.3788807                1            NA          NA
## 1026                  1.3788807                1            NA          NA
## 1027                  1.3788807                1            NA          NA
## 1028                  1.3077410                1            NA          NA
## 1029                  1.3077410                1            NA          NA
## 1030                  1.3077410                1            NA          NA
## 1031                  1.3077410                1            NA          NA
## 1032                  1.3077410                1            NA          NA
## 1033                  1.0328684                1   3.910160390  -0.8693626
## 1034                  1.0328684                1   3.910160390  -0.8693626
## 1035                  1.0328684                1   3.910160390  -0.8693626
## 1036                  1.0328684                1   3.910160390  -0.8693626
## 1037                  1.0328684                1   3.910160390  -0.8693626
## 1038                  1.4951851                1            NA          NA
## 1039                  1.4951851                1            NA          NA
## 1040                  1.4951851                1            NA          NA
## 1041                  1.4951851                1            NA          NA
## 1042                  1.4951851                1            NA          NA
## 1043                  1.1822020               -1            NA          NA
## 1044                  1.1822020               -1            NA          NA
## 1045                  1.1822020               -1            NA          NA
## 1046                  1.1822020               -1            NA          NA
## 1047                  1.1822020               -1            NA          NA
## 1048                  1.2122241                1            NA          NA
## 1049                  1.2122241                1            NA          NA
## 1050                  1.2122241                1            NA          NA
## 1051                  1.2122241                1            NA          NA
## 1052                  1.2122241                1            NA          NA
## 1053                  1.3879798                1            NA          NA
## 1054                  1.3879798                1            NA          NA
## 1055                  1.3879798                1            NA          NA
## 1056                  1.3879798                1            NA          NA
## 1057                  1.3879798                1            NA          NA
## 1058                  1.2918229                1            NA          NA
## 1059                  1.2918229                1            NA          NA
## 1060                  1.2918229                1            NA          NA
## 1061                  1.2918229                1            NA          NA
## 1062                  1.2918229                1            NA          NA
## 1063                  1.3475067                1            NA          NA
## 1064                  1.3475067                1            NA          NA
## 1065                  1.3475067                1            NA          NA
## 1066                  1.3475067                1            NA          NA
## 1067                  1.3475067                1            NA          NA
## 1068                  1.3733519               -1   2.900719803   0.4906270
## 1069                  1.3733519               -1   2.900719803   0.4906270
## 1070                  1.3733519               -1   2.900719803   0.4906270
## 1071                  1.3733519               -1   2.900719803   0.4906270
## 1072                  1.3733519               -1   2.900719803   0.4906270
## 1073                  1.3446163                1   2.430255392  -5.3950631
## 1074                  1.3446163                1   2.430255392  -5.3950631
## 1075                  1.3446163                1   2.430255392  -5.3950631
## 1076                  1.3446163                1   2.430255392  -5.3950631
## 1077                  1.3446163                1   2.430255392  -5.3950631
## 1078                  1.1960424                1            NA          NA
## 1079                  1.1960424                1            NA          NA
## 1080                  1.1960424                1            NA          NA
## 1081                  1.1960424                1            NA          NA
## 1082                  1.1960424                1            NA          NA
## 1083                  1.0774400                1   1.366545025   0.5343188
## 1084                  1.0774400                1   1.366545025   0.5343188
## 1085                  1.0774400                1   1.366545025   0.5343188
## 1086                  1.0774400                1   1.366545025   0.5343188
## 1087                  1.0774400                1   1.366545025   0.5343188
## 1088                  1.3393696                1            NA          NA
## 1089                  1.3393696                1            NA          NA
## 1090                  1.3393696                1            NA          NA
## 1091                  1.3393696                1            NA          NA
## 1092                  1.3393696                1            NA          NA
## 1093                  1.1965142                1  -1.832476922  -9.4723576
## 1094                  1.1965142                1  -1.832476922  -9.4723576
## 1095                  1.1965142                1  -1.832476922  -9.4723576
## 1096                  1.1965142                1  -1.832476922  -9.4723576
## 1097                  1.1965142                1  -1.832476922  -9.4723576
## 1098                  1.2404348                1            NA          NA
## 1099                  1.2404348                1            NA          NA
## 1100                  1.2404348                1            NA          NA
## 1101                  1.2404348                1            NA          NA
## 1102                  1.2404348                1            NA          NA
## 1103                  1.1414727               -1   4.449725329  -4.1273299
## 1104                  1.1414727               -1   4.449725329  -4.1273299
## 1105                  1.1414727               -1   4.449725329  -4.1273299
## 1106                  1.1414727               -1   4.449725329  -4.1273299
## 1107                  1.1414727               -1   4.449725329  -4.1273299
## 1108                  1.1789962                1            NA          NA
## 1109                  1.1789962                1            NA          NA
## 1110                  1.1789962                1            NA          NA
## 1111                  1.1789962                1            NA          NA
## 1112                  1.1789962                1            NA          NA
## 1113                  1.3331447                1   2.754692557  -3.1455004
## 1114                  1.3331447                1   2.754692557  -3.1455004
## 1115                  1.3331447                1   2.754692557  -3.1455004
## 1116                  1.3331447                1   2.754692557  -3.1455004
## 1117                  1.3331447                1   2.754692557  -3.1455004
## 1118                  1.3803307                1   0.628689053  -8.7646075
## 1119                  1.3803307                1   0.628689053  -8.7646075
## 1120                  1.3803307                1   0.628689053  -8.7646075
## 1121                  1.3803307                1   0.628689053  -8.7646075
## 1122                  1.3803307                1   0.628689053  -8.7646075
## 1123                  1.2050452                1  -4.163244444  -3.9464169
## 1124                  1.2050452                1  -4.163244444  -3.9464169
## 1125                  1.2050452                1  -4.163244444  -3.9464169
## 1126                  1.2050452                1  -4.163244444  -3.9464169
## 1127                  1.2050452                1  -4.163244444  -3.9464169
## 1128                  1.5186784                1            NA          NA
## 1129                  1.5186784                1            NA          NA
## 1130                  1.5186784                1            NA          NA
## 1131                  1.5186784                1            NA          NA
## 1132                  1.5186784                1            NA          NA
## 1133                  1.3849352                1  -0.834324470  -6.9556571
## 1134                  1.3849352                1  -0.834324470  -6.9556571
## 1135                  1.3849352                1  -0.834324470  -6.9556571
## 1136                  1.3849352                1  -0.834324470  -6.9556571
## 1137                  1.3849352                1  -0.834324470  -6.9556571
## 1138                  1.5664677                1            NA          NA
## 1139                  1.5664677                1            NA          NA
## 1140                  1.5664677                1            NA          NA
## 1141                  1.5664677                1            NA          NA
## 1142                  1.5664677                1            NA          NA
## 1143                  1.4288710                1   0.585613198 -11.8264029
## 1144                  1.4288710                1   0.585613198 -11.8264029
## 1145                  1.4288710                1   0.585613198 -11.8264029
## 1146                  1.4288710                1   0.585613198 -11.8264029
## 1147                  1.4288710                1   0.585613198 -11.8264029
## 1148                  1.3592776                1            NA          NA
## 1149                  1.3592776                1            NA          NA
## 1150                  1.3592776                1            NA          NA
## 1151                  1.3592776                1            NA          NA
## 1152                  1.3592776                1            NA          NA
## 1153                  1.0835608               -1   0.417004359  -1.2780219
## 1154                  1.0835608               -1   0.417004359  -1.2780219
## 1155                  1.0835608               -1   0.417004359  -1.2780219
## 1156                  1.0835608               -1   0.417004359  -1.2780219
## 1157                  1.0835608               -1   0.417004359  -1.2780219
## 1158                  1.2498850                1   6.594414963   0.7854604
## 1159                  1.2498850                1   6.594414963   0.7854604
## 1160                  1.2498850                1   6.594414963   0.7854604
## 1161                  1.2498850                1   6.594414963   0.7854604
## 1162                  1.2498850                1   6.594414963   0.7854604
## 1163                  1.4061232               -1            NA          NA
## 1164                  1.4061232               -1            NA          NA
## 1165                  1.4061232               -1            NA          NA
## 1166                  1.4061232               -1            NA          NA
## 1167                  1.4061232               -1            NA          NA
## 1168                  1.1775634                1            NA          NA
## 1169                  1.1775634                1            NA          NA
## 1170                  1.1775634                1            NA          NA
## 1171                  1.1775634                1            NA          NA
## 1172                  1.1775634                1            NA          NA
## 1173                  1.2173507                1            NA          NA
## 1174                  1.2173507                1            NA          NA
## 1175                  1.2173507                1            NA          NA
## 1176                  1.2173507                1            NA          NA
## 1177                  1.2173507                1            NA          NA
## 1178                  1.3198875                1            NA          NA
## 1179                  1.3198875                1            NA          NA
## 1180                  1.3198875                1            NA          NA
## 1181                  1.3198875                1            NA          NA
## 1182                  1.3198875                1            NA          NA
## 1183                  1.3689231                1            NA          NA
## 1184                  1.3689231                1            NA          NA
## 1185                  1.3689231                1            NA          NA
## 1186                  1.3689231                1            NA          NA
## 1187                  1.3689231                1            NA          NA
## 1188                  1.3141177               -1  -2.977264030  -6.8058970
## 1189                  1.3141177               -1  -2.977264030  -6.8058970
## 1190                  1.3141177               -1  -2.977264030  -6.8058970
## 1191                  1.3141177               -1  -2.977264030  -6.8058970
## 1192                  1.3141177               -1  -2.977264030  -6.8058970
## 1193                  1.3769487                1   6.832492842 -10.1395883
## 1194                  1.3769487                1   6.832492842 -10.1395883
## 1195                  1.3769487                1   6.832492842 -10.1395883
## 1196                  1.3769487                1   6.832492842 -10.1395883
## 1197                  1.3769487                1   6.832492842 -10.1395883
## 1198                  1.2957691               -1   0.741823573  -1.4313878
## 1199                  1.2957691               -1   0.741823573  -1.4313878
## 1200                  1.2957691               -1   0.741823573  -1.4313878
## 1201                  1.2957691               -1   0.741823573  -1.4313878
## 1202                  1.2957691               -1   0.741823573  -1.4313878
## 1203                  1.3014307               -1   3.974450208  -3.8348111
## 1204                  1.3014307               -1   3.974450208  -3.8348111
## 1205                  1.3014307               -1   3.974450208  -3.8348111
## 1206                  1.3014307               -1   3.974450208  -3.8348111
## 1207                  1.3014307               -1   3.974450208  -3.8348111
## 1208                  1.0496241                1            NA          NA
## 1209                  1.0496241                1            NA          NA
## 1210                  1.0496241                1            NA          NA
## 1211                  1.0496241                1            NA          NA
## 1212                  1.0496241                1            NA          NA
## 1213                  1.3467031                1  -0.150659705  -5.9156680
## 1214                  1.3467031                1  -0.150659705  -5.9156680
## 1215                  1.3467031                1  -0.150659705  -5.9156680
## 1216                  1.3467031                1  -0.150659705  -5.9156680
## 1217                  1.3467031                1  -0.150659705  -5.9156680
## 1218                  1.1907757                1   4.967182032   3.0689022
## 1219                  1.1907757                1   4.967182032   3.0689022
## 1220                  1.1907757                1   4.967182032   3.0689022
## 1221                  1.1907757                1   4.967182032   3.0689022
## 1222                  1.1907757                1   4.967182032   3.0689022
## 1223                  1.1211591                1            NA          NA
## 1224                  1.1211591                1            NA          NA
## 1225                  1.1211591                1            NA          NA
## 1226                  1.1211591                1            NA          NA
## 1227                  1.1211591                1            NA          NA
## 1228                  1.2268951                1            NA          NA
## 1229                  1.2268951                1            NA          NA
## 1230                  1.2268951                1            NA          NA
## 1231                  1.2268951                1            NA          NA
## 1232                  1.2268951                1            NA          NA
## 1233                  1.4134223               -1            NA          NA
## 1234                  1.4134223               -1            NA          NA
## 1235                  1.4134223               -1            NA          NA
## 1236                  1.4134223               -1            NA          NA
## 1237                  1.4134223               -1            NA          NA
## 1238                  1.3798931                1  -1.565759638  -8.0949020
## 1239                  1.3798931                1  -1.565759638  -8.0949020
## 1240                  1.3798931                1  -1.565759638  -8.0949020
## 1241                  1.3798931                1  -1.565759638  -8.0949020
## 1242                  1.3798931                1  -1.565759638  -8.0949020
## 1243                  1.4583528                1  -1.297183310  -6.4214826
## 1244                  1.4583528                1  -1.297183310  -6.4214826
## 1245                  1.4583528                1  -1.297183310  -6.4214826
## 1246                  1.4583528                1  -1.297183310  -6.4214826
## 1247                  1.4583528                1  -1.297183310  -6.4214826
## 1248                  1.2679799                1            NA          NA
## 1249                  1.2679799                1            NA          NA
## 1250                  1.2679799                1            NA          NA
## 1251                  1.2679799                1            NA          NA
## 1252                  1.2679799                1            NA          NA
## 1253                  1.1996606               -1            NA          NA
## 1254                  1.1996606               -1            NA          NA
## 1255                  1.1996606               -1            NA          NA
## 1256                  1.1996606               -1            NA          NA
## 1257                  1.1996606               -1            NA          NA
## 1258                  1.0017600                1            NA          NA
## 1259                  1.0017600                1            NA          NA
## 1260                  1.0017600                1            NA          NA
## 1261                  1.0017600                1            NA          NA
## 1262                  1.0017600                1            NA          NA
## 1263                  1.3296803                1  -2.236300237  -5.1713768
## 1264                  1.3296803                1  -2.236300237  -5.1713768
## 1265                  1.3296803                1  -2.236300237  -5.1713768
## 1266                  1.3296803                1  -2.236300237  -5.1713768
## 1267                  1.3296803                1  -2.236300237  -5.1713768
## 1268                  0.9162007                1   5.688210834  -0.9965263
## 1269                  0.9162007                1   5.688210834  -0.9965263
## 1270                  0.9162007                1   5.688210834  -0.9965263
## 1271                  0.9162007                1   5.688210834  -0.9965263
## 1272                  0.9162007                1   5.688210834  -0.9965263
## 1273                  1.5513114                1   0.753372484 -19.2656159
## 1274                  1.5513114                1   0.753372484 -19.2656159
## 1275                  1.5513114                1   0.753372484 -19.2656159
## 1276                  1.5513114                1   0.753372484 -19.2656159
## 1277                  1.5513114                1   0.753372484 -19.2656159
## 1278                  0.9404781                1   0.406052682   2.4641692
## 1279                  0.9404781                1   0.406052682   2.4641692
## 1280                  0.9404781                1   0.406052682   2.4641692
## 1281                  0.9404781                1   0.406052682   2.4641692
## 1282                  0.9404781                1   0.406052682   2.4641692
## 1283                  1.4616698                1  -3.706300567  -3.8405957
## 1284                  1.4616698                1  -3.706300567  -3.8405957
## 1285                  1.4616698                1  -3.706300567  -3.8405957
## 1286                  1.4616698                1  -3.706300567  -3.8405957
## 1287                  1.4616698                1  -3.706300567  -3.8405957
## 1288                  0.9285475               -1            NA          NA
## 1289                  0.9285475               -1            NA          NA
## 1290                  0.9285475               -1            NA          NA
## 1291                  0.9285475               -1            NA          NA
## 1292                  0.9285475               -1            NA          NA
## 1293                  1.2718363                1            NA          NA
## 1294                  1.2718363                1            NA          NA
## 1295                  1.2718363                1            NA          NA
## 1296                  1.2718363                1            NA          NA
## 1297                  1.2718363                1            NA          NA
## 1298                  1.0318377               -1  -5.842858879   3.7852324
## 1299                  1.0318377               -1  -5.842858879   3.7852324
## 1300                  1.0318377               -1  -5.842858879   3.7852324
## 1301                  1.0318377               -1  -5.842858879   3.7852324
## 1302                  1.0318377               -1  -5.842858879   3.7852324
## 1303                  1.3094597                1            NA          NA
## 1304                  1.3094597                1            NA          NA
## 1305                  1.3094597                1            NA          NA
## 1306                  1.3094597                1            NA          NA
## 1307                  1.3094597                1            NA          NA
## 1308                  1.4323123                1            NA          NA
## 1309                  1.4323123                1            NA          NA
## 1310                  1.4323123                1            NA          NA
## 1311                  1.4323123                1            NA          NA
## 1312                  1.4323123                1            NA          NA
## 1313                  1.5057421                1   3.693606073  -9.4388387
## 1314                  1.5057421                1   3.693606073  -9.4388387
## 1315                  1.5057421                1   3.693606073  -9.4388387
## 1316                  1.5057421                1   3.693606073  -9.4388387
## 1317                  1.5057421                1   3.693606073  -9.4388387
## 1318                  1.3990264                1            NA          NA
## 1319                  1.3990264                1            NA          NA
## 1320                  1.3990264                1            NA          NA
## 1321                  1.3990264                1            NA          NA
## 1322                  1.3990264                1            NA          NA
## 1323                  1.2440800                1            NA          NA
## 1324                  1.2440800                1            NA          NA
## 1325                  1.2440800                1            NA          NA
## 1326                  1.2440800                1            NA          NA
## 1327                  1.2440800                1            NA          NA
## 1328                  1.4464073                1            NA          NA
## 1329                  1.4464073                1            NA          NA
## 1330                  1.4464073                1            NA          NA
## 1331                  1.4464073                1            NA          NA
## 1332                  1.4464073                1            NA          NA
## 1333                  1.4301964                1            NA          NA
## 1334                  1.4301964                1            NA          NA
## 1335                  1.4301964                1            NA          NA
## 1336                  1.4301964                1            NA          NA
## 1337                  1.4301964                1            NA          NA
## 1338                  1.3322974                1            NA          NA
## 1339                  1.3322974                1            NA          NA
## 1340                  1.3322974                1            NA          NA
## 1341                  1.3322974                1            NA          NA
## 1342                  1.3322974                1            NA          NA
## 1343                  1.2446706                1            NA          NA
## 1344                  1.2446706                1            NA          NA
## 1345                  1.2446706                1            NA          NA
## 1346                  1.2446706                1            NA          NA
## 1347                  1.2446706                1            NA          NA
## 1348                  1.3223598                1            NA          NA
## 1349                  1.3223598                1            NA          NA
## 1350                  1.3223598                1            NA          NA
## 1351                  1.3223598                1            NA          NA
## 1352                  1.3223598                1            NA          NA
## 1353                  1.1343777                1            NA          NA
## 1354                  1.1343777                1            NA          NA
## 1355                  1.1343777                1            NA          NA
## 1356                  1.1343777                1            NA          NA
## 1357                  1.1343777                1            NA          NA
## 1358                  1.0759987                1            NA          NA
## 1359                  1.0759987                1            NA          NA
## 1360                  1.0759987                1            NA          NA
## 1361                  1.0759987                1            NA          NA
## 1362                  1.0759987                1            NA          NA
## 1363                  0.9617815               -1   3.185521705   2.7259361
## 1364                  0.9617815               -1   3.185521705   2.7259361
## 1365                  0.9617815               -1   3.185521705   2.7259361
## 1366                  0.9617815               -1   3.185521705   2.7259361
## 1367                  0.9617815               -1   3.185521705   2.7259361
## 1368                  1.1350617               -1            NA          NA
## 1369                  1.1350617               -1            NA          NA
## 1370                  1.1350617               -1            NA          NA
## 1371                  1.1350617               -1            NA          NA
## 1372                  1.1350617               -1            NA          NA
## 1373                  0.9633394                1            NA          NA
## 1374                  0.9633394                1            NA          NA
## 1375                  0.9633394                1            NA          NA
## 1376                  0.9633394                1            NA          NA
## 1377                  0.9633394                1            NA          NA
## 1378                  1.0922047                1 -77.728518943  -2.3719798
## 1379                  1.0922047                1 -77.728518943  -2.3719798
## 1380                  1.0922047                1 -77.728518943  -2.3719798
## 1381                  1.0922047                1 -77.728518943  -2.3719798
## 1382                  1.0922047                1 -77.728518943  -2.3719798
## 1383                  1.2784608                1            NA          NA
## 1384                  1.2784608                1            NA          NA
## 1385                  1.2784608                1            NA          NA
## 1386                  1.2784608                1            NA          NA
## 1387                  1.2784608                1            NA          NA
## 1388                  1.0854380               -1  14.428103213  -7.0531405
## 1389                  1.0854380               -1  14.428103213  -7.0531405
## 1390                  1.0854380               -1  14.428103213  -7.0531405
## 1391                  1.0854380               -1  14.428103213  -7.0531405
## 1392                  1.0854380               -1  14.428103213  -7.0531405
## 1393                  1.0743408                1            NA          NA
## 1394                  1.0743408                1            NA          NA
## 1395                  1.0743408                1            NA          NA
## 1396                  1.0743408                1            NA          NA
## 1397                  1.0743408                1            NA          NA
## 1398                  0.9880804                1            NA          NA
## 1399                  0.9880804                1            NA          NA
## 1400                  0.9880804                1            NA          NA
## 1401                  0.9880804                1            NA          NA
## 1402                  0.9880804                1            NA          NA
## 1403                  1.0507704               -1            NA          NA
## 1404                  1.0507704               -1            NA          NA
## 1405                  1.0507704               -1            NA          NA
## 1406                  1.0507704               -1            NA          NA
## 1407                  1.0507704               -1            NA          NA
## 1408                  1.2829650                1            NA          NA
## 1409                  1.2829650                1            NA          NA
## 1410                  1.2829650                1            NA          NA
## 1411                  1.2829650                1            NA          NA
## 1412                  1.2829650                1            NA          NA
## 1413                  1.4085758                1   3.063418650  -0.7587468
## 1414                  1.4085758                1   3.063418650  -0.7587468
## 1415                  1.4085758                1   3.063418650  -0.7587468
## 1416                  1.4085758                1   3.063418650  -0.7587468
## 1417                  1.4085758                1   3.063418650  -0.7587468
## 1418                  1.0277480               -1  -3.607042860   1.7323589
## 1419                  1.0277480               -1  -3.607042860   1.7323589
## 1420                  1.0277480               -1  -3.607042860   1.7323589
## 1421                  1.0277480               -1  -3.607042860   1.7323589
## 1422                  1.0277480               -1  -3.607042860   1.7323589
## 1423                  1.2127093               -1            NA          NA
## 1424                  1.2127093               -1            NA          NA
## 1425                  1.2127093               -1            NA          NA
## 1426                  1.2127093               -1            NA          NA
## 1427                  1.2127093               -1            NA          NA
## 1428                  1.1499568                1  -7.781947926  -1.1505779
## 1429                  1.1499568                1  -7.781947926  -1.1505779
## 1430                  1.1499568                1  -7.781947926  -1.1505779
## 1431                  1.1499568                1  -7.781947926  -1.1505779
## 1432                  1.1499568                1  -7.781947926  -1.1505779
## 1433                  1.3875184                1  -0.801759901  -5.9200950
## 1434                  1.3875184                1  -0.801759901  -5.9200950
## 1435                  1.3875184                1  -0.801759901  -5.9200950
## 1436                  1.3875184                1  -0.801759901  -5.9200950
## 1437                  1.3875184                1  -0.801759901  -5.9200950
## 1438                  1.3078923               -1            NA          NA
## 1439                  1.3078923               -1            NA          NA
## 1440                  1.3078923               -1            NA          NA
## 1441                  1.3078923               -1            NA          NA
## 1442                  1.3078923               -1            NA          NA
## 1443                  1.3542102               -1  -0.942488031  -4.7073733
## 1444                  1.3542102               -1  -0.942488031  -4.7073733
## 1445                  1.3542102               -1  -0.942488031  -4.7073733
## 1446                  1.3542102               -1  -0.942488031  -4.7073733
## 1447                  1.3542102               -1  -0.942488031  -4.7073733
## 1448                  1.1362554               -1            NA          NA
## 1449                  1.1362554               -1            NA          NA
## 1450                  1.1362554               -1            NA          NA
## 1451                  1.1362554               -1            NA          NA
## 1452                  1.1362554               -1            NA          NA
## 1453                  1.1020076                1            NA          NA
## 1454                  1.1020076                1            NA          NA
## 1455                  1.1020076                1            NA          NA
## 1456                  1.1020076                1            NA          NA
## 1457                  1.1020076                1            NA          NA
## 1458                  1.4848528                1            NA          NA
## 1459                  1.4848528                1            NA          NA
## 1460                  1.4848528                1            NA          NA
## 1461                  1.4848528                1            NA          NA
## 1462                  1.4848528                1            NA          NA
## 1463                  1.3058568                1 -11.679504686  -2.8304344
## 1464                  1.3058568                1 -11.679504686  -2.8304344
## 1465                  1.3058568                1 -11.679504686  -2.8304344
## 1466                  1.3058568                1 -11.679504686  -2.8304344
## 1467                  1.3058568                1 -11.679504686  -2.8304344
## 1468                  1.2279295                1            NA          NA
## 1469                  1.2279295                1            NA          NA
## 1470                  1.2279295                1            NA          NA
## 1471                  1.2279295                1            NA          NA
## 1472                  1.2279295                1            NA          NA
## 1473                  1.0888979               -1            NA          NA
## 1474                  1.0888979               -1            NA          NA
## 1475                  1.0888979               -1            NA          NA
## 1476                  1.0888979               -1            NA          NA
## 1477                  1.0888979               -1            NA          NA
## 1478                  1.3509839                1            NA          NA
## 1479                  1.3509839                1            NA          NA
## 1480                  1.3509839                1            NA          NA
## 1481                  1.3509839                1            NA          NA
## 1482                  1.3509839                1            NA          NA
## 1483                  1.5780410                1            NA          NA
## 1484                  1.5780410                1            NA          NA
## 1485                  1.5780410                1            NA          NA
## 1486                  1.5780410                1            NA          NA
## 1487                  1.5780410                1            NA          NA
## 1488                  1.2406171                1   0.318126553  -3.8505179
## 1489                  1.2406171                1   0.318126553  -3.8505179
## 1490                  1.2406171                1   0.318126553  -3.8505179
## 1491                  1.2406171                1   0.318126553  -3.8505179
## 1492                  1.2406171                1   0.318126553  -3.8505179
## 1493                  1.2455396                1  -3.374188696  -0.8195624
## 1494                  1.2455396                1  -3.374188696  -0.8195624
## 1495                  1.2455396                1  -3.374188696  -0.8195624
## 1496                  1.2455396                1  -3.374188696  -0.8195624
## 1497                  1.2455396                1  -3.374188696  -0.8195624
## 1498                  1.1588844               -1  -1.467916881  -2.7838926
## 1499                  1.1588844               -1  -1.467916881  -2.7838926
## 1500                  1.1588844               -1  -1.467916881  -2.7838926
## 1501                  1.1588844               -1  -1.467916881  -2.7838926
## 1502                  1.1588844               -1  -1.467916881  -2.7838926
## 1503                  1.1189100                1 -11.193773265   1.3315790
## 1504                  1.1189100                1 -11.193773265   1.3315790
## 1505                  1.1189100                1 -11.193773265   1.3315790
## 1506                  1.1189100                1 -11.193773265   1.3315790
## 1507                  1.1189100                1 -11.193773265   1.3315790
## 1508                  1.2639592                1            NA          NA
## 1509                  1.2639592                1            NA          NA
## 1510                  1.2639592                1            NA          NA
## 1511                  1.2639592                1            NA          NA
## 1512                  1.2639592                1            NA          NA
## 1513                  1.1611944               -1            NA          NA
## 1514                  1.1611944               -1            NA          NA
## 1515                  1.1611944               -1            NA          NA
## 1516                  1.1611944               -1            NA          NA
## 1517                  1.1611944               -1            NA          NA
## 1518                  0.9706360               -1            NA          NA
## 1519                  0.9706360               -1            NA          NA
## 1520                  0.9706360               -1            NA          NA
## 1521                  0.9706360               -1            NA          NA
## 1522                  0.9706360               -1            NA          NA
## 1523                  1.3631488                1            NA          NA
## 1524                  1.3631488                1            NA          NA
## 1525                  1.3631488                1            NA          NA
## 1526                  1.3631488                1            NA          NA
## 1527                  1.3631488                1            NA          NA
## 1528                  1.0303301                1 -19.476040738   2.1613254
## 1529                  1.0303301                1 -19.476040738   2.1613254
## 1530                  1.0303301                1 -19.476040738   2.1613254
## 1531                  1.0303301                1 -19.476040738   2.1613254
## 1532                  1.0303301                1 -19.476040738   2.1613254
## 1533                  1.0554535               -1            NA          NA
## 1534                  1.0554535               -1            NA          NA
## 1535                  1.0554535               -1            NA          NA
## 1536                  1.0554535               -1            NA          NA
## 1537                  1.0554535               -1            NA          NA
## 1538                  1.0474145                1            NA          NA
##       PC112_score    PC7_score    PC1_score    PC66_score   PC40_score
## 1      1.41482742  -2.71612911   6.23314355  12.413646987   2.58638942
## 2      1.41482742  -2.71612911   6.23314355  12.413646987   2.58638942
## 3      1.41482742  -2.71612911   6.23314355  12.413646987   2.58638942
## 4      1.41482742  -2.71612911   6.23314355  12.413646987   2.58638942
## 5      1.41482742  -2.71612911   6.23314355  12.413646987   2.58638942
## 6      1.41482742  -2.71612911   6.23314355  12.413646987   2.58638942
## 7      1.41482742  -2.71612911   6.23314355  12.413646987   2.58638942
## 8      1.41482742  -2.71612911   6.23314355  12.413646987   2.58638942
## 9     -0.94202238  -5.14209189  -4.41896101  -5.359086941  -2.42106668
## 10    -0.94202238  -5.14209189  -4.41896101  -5.359086941  -2.42106668
## 11    -0.94202238  -5.14209189  -4.41896101  -5.359086941  -2.42106668
## 12    -0.94202238  -5.14209189  -4.41896101  -5.359086941  -2.42106668
## 13    -0.94202238  -5.14209189  -4.41896101  -5.359086941  -2.42106668
## 14    -0.94202238  -5.14209189  -4.41896101  -5.359086941  -2.42106668
## 15    -0.94202238  -5.14209189  -4.41896101  -5.359086941  -2.42106668
## 16    -0.94202238  -5.14209189  -4.41896101  -5.359086941  -2.42106668
## 17    -0.30487409  -2.50411842  24.46468703  13.074121303   3.93394058
## 18    -0.30487409  -2.50411842  24.46468703  13.074121303   3.93394058
## 19    -0.30487409  -2.50411842  24.46468703  13.074121303   3.93394058
## 20    -0.30487409  -2.50411842  24.46468703  13.074121303   3.93394058
## 21    -0.30487409  -2.50411842  24.46468703  13.074121303   3.93394058
## 22    -0.30487409  -2.50411842  24.46468703  13.074121303   3.93394058
## 23    -0.30487409  -2.50411842  24.46468703  13.074121303   3.93394058
## 24    -0.30487409  -2.50411842  24.46468703  13.074121303   3.93394058
## 25     4.06975913   8.75448507 -15.18244223 -10.576748066 -12.15269146
## 26     4.06975913   8.75448507 -15.18244223 -10.576748066 -12.15269146
## 27     4.06975913   8.75448507 -15.18244223 -10.576748066 -12.15269146
## 28     4.06975913   8.75448507 -15.18244223 -10.576748066 -12.15269146
## 29     4.06975913   8.75448507 -15.18244223 -10.576748066 -12.15269146
## 30     4.06975913   8.75448507 -15.18244223 -10.576748066 -12.15269146
## 31     4.06975913   8.75448507 -15.18244223 -10.576748066 -12.15269146
## 32     4.06975913   8.75448507 -15.18244223 -10.576748066 -12.15269146
## 33     1.06481728  -5.08754874 -10.30329456  -0.584630485  10.32790668
## 34     1.06481728  -5.08754874 -10.30329456  -0.584630485  10.32790668
## 35     1.06481728  -5.08754874 -10.30329456  -0.584630485  10.32790668
## 36     1.06481728  -5.08754874 -10.30329456  -0.584630485  10.32790668
## 37     1.06481728  -5.08754874 -10.30329456  -0.584630485  10.32790668
## 38     1.06481728  -5.08754874 -10.30329456  -0.584630485  10.32790668
## 39     1.06481728  -5.08754874 -10.30329456  -0.584630485  10.32790668
## 40     1.06481728  -5.08754874 -10.30329456  -0.584630485  10.32790668
## 41     2.57039210  -0.10058477 -26.92813976   5.993510132  -1.63933347
## 42     2.57039210  -0.10058477 -26.92813976   5.993510132  -1.63933347
## 43     2.57039210  -0.10058477 -26.92813976   5.993510132  -1.63933347
## 44     2.57039210  -0.10058477 -26.92813976   5.993510132  -1.63933347
## 45     2.57039210  -0.10058477 -26.92813976   5.993510132  -1.63933347
## 46     2.57039210  -0.10058477 -26.92813976   5.993510132  -1.63933347
## 47     2.57039210  -0.10058477 -26.92813976   5.993510132  -1.63933347
## 48     2.57039210  -0.10058477 -26.92813976   5.993510132  -1.63933347
## 49     1.69344694  15.87260871  32.79263226   3.753873000 -15.09337712
## 50     1.69344694  15.87260871  32.79263226   3.753873000 -15.09337712
## 51     1.69344694  15.87260871  32.79263226   3.753873000 -15.09337712
## 52     1.69344694  15.87260871  32.79263226   3.753873000 -15.09337712
## 53     1.69344694  15.87260871  32.79263226   3.753873000 -15.09337712
## 54     1.69344694  15.87260871  32.79263226   3.753873000 -15.09337712
## 55     1.69344694  15.87260871  32.79263226   3.753873000 -15.09337712
## 56     1.69344694  15.87260871  32.79263226   3.753873000 -15.09337712
## 57    -3.09392248  -8.22870053   3.85631411  -7.480468096   7.05330552
## 58    -3.09392248  -8.22870053   3.85631411  -7.480468096   7.05330552
## 59    -3.09392248  -8.22870053   3.85631411  -7.480468096   7.05330552
## 60    -3.09392248  -8.22870053   3.85631411  -7.480468096   7.05330552
## 61    -3.09392248  -8.22870053   3.85631411  -7.480468096   7.05330552
## 62    -3.09392248  -8.22870053   3.85631411  -7.480468096   7.05330552
## 63    -3.09392248  -8.22870053   3.85631411  -7.480468096   7.05330552
## 64    -3.09392248  -8.22870053   3.85631411  -7.480468096   7.05330552
## 65     4.09626750  -8.41705516 -10.19656610   0.253154674  24.00929325
## 66     4.09626750  -8.41705516 -10.19656610   0.253154674  24.00929325
## 67     4.09626750  -8.41705516 -10.19656610   0.253154674  24.00929325
## 68     4.09626750  -8.41705516 -10.19656610   0.253154674  24.00929325
## 69     4.09626750  -8.41705516 -10.19656610   0.253154674  24.00929325
## 70     4.09626750  -8.41705516 -10.19656610   0.253154674  24.00929325
## 71     4.09626750  -8.41705516 -10.19656610   0.253154674  24.00929325
## 72     4.09626750  -8.41705516 -10.19656610   0.253154674  24.00929325
## 73     3.45832549  -3.62988893  20.14590708  -2.421270788  -6.31647267
## 74     3.45832549  -3.62988893  20.14590708  -2.421270788  -6.31647267
## 75     3.45832549  -3.62988893  20.14590708  -2.421270788  -6.31647267
## 76     3.45832549  -3.62988893  20.14590708  -2.421270788  -6.31647267
## 77     3.45832549  -3.62988893  20.14590708  -2.421270788  -6.31647267
## 78     3.45832549  -3.62988893  20.14590708  -2.421270788  -6.31647267
## 79     3.45832549  -3.62988893  20.14590708  -2.421270788  -6.31647267
## 80     3.45832549  -3.62988893  20.14590708  -2.421270788  -6.31647267
## 81     5.49690606  -8.15839289   8.84791159 -24.327581687   0.73194288
## 82     5.49690606  -8.15839289   8.84791159 -24.327581687   0.73194288
## 83     5.49690606  -8.15839289   8.84791159 -24.327581687   0.73194288
## 84     5.49690606  -8.15839289   8.84791159 -24.327581687   0.73194288
## 85     5.49690606  -8.15839289   8.84791159 -24.327581687   0.73194288
## 86     5.49690606  -8.15839289   8.84791159 -24.327581687   0.73194288
## 87     5.49690606  -8.15839289   8.84791159 -24.327581687   0.73194288
## 88     5.49690606  -8.15839289   8.84791159 -24.327581687   0.73194288
## 89    -0.14054158  -1.09175451  23.55689697  -1.949104290 -30.50411851
## 90    -0.14054158  -1.09175451  23.55689697  -1.949104290 -30.50411851
## 91    -0.14054158  -1.09175451  23.55689697  -1.949104290 -30.50411851
## 92    -0.14054158  -1.09175451  23.55689697  -1.949104290 -30.50411851
## 93    -0.14054158  -1.09175451  23.55689697  -1.949104290 -30.50411851
## 94    -0.14054158  -1.09175451  23.55689697  -1.949104290 -30.50411851
## 95    -0.14054158  -1.09175451  23.55689697  -1.949104290 -30.50411851
## 96    -0.14054158  -1.09175451  23.55689697  -1.949104290 -30.50411851
## 97     3.46043389   4.76666879  18.11362824  19.019516000  -2.04332776
## 98     3.46043389   4.76666879  18.11362824  19.019516000  -2.04332776
## 99     3.46043389   4.76666879  18.11362824  19.019516000  -2.04332776
## 100    3.46043389   4.76666879  18.11362824  19.019516000  -2.04332776
## 101    3.46043389   4.76666879  18.11362824  19.019516000  -2.04332776
## 102    3.46043389   4.76666879  18.11362824  19.019516000  -2.04332776
## 103    3.46043389   4.76666879  18.11362824  19.019516000  -2.04332776
## 104    3.46043389   4.76666879  18.11362824  19.019516000  -2.04332776
## 105    1.11033424  -3.59688072  -3.85981934   0.142652941   3.75393846
## 106    1.11033424  -3.59688072  -3.85981934   0.142652941   3.75393846
## 107    1.11033424  -3.59688072  -3.85981934   0.142652941   3.75393846
## 108    1.11033424  -3.59688072  -3.85981934   0.142652941   3.75393846
## 109    1.11033424  -3.59688072  -3.85981934   0.142652941   3.75393846
## 110    1.11033424  -3.59688072  -3.85981934   0.142652941   3.75393846
## 111    1.11033424  -3.59688072  -3.85981934   0.142652941   3.75393846
## 112    1.11033424  -3.59688072  -3.85981934   0.142652941   3.75393846
## 113    0.76158843 -34.11131386 -11.04831987  -1.160543587  -4.84763713
## 114    0.76158843 -34.11131386 -11.04831987  -1.160543587  -4.84763713
## 115    0.76158843 -34.11131386 -11.04831987  -1.160543587  -4.84763713
## 116    0.76158843 -34.11131386 -11.04831987  -1.160543587  -4.84763713
## 117    0.76158843 -34.11131386 -11.04831987  -1.160543587  -4.84763713
## 118    0.76158843 -34.11131386 -11.04831987  -1.160543587  -4.84763713
## 119    0.76158843 -34.11131386 -11.04831987  -1.160543587  -4.84763713
## 120    0.76158843 -34.11131386 -11.04831987  -1.160543587  -4.84763713
## 121    3.08386076   2.65779105  -7.70576903   5.603068151 -16.05301400
## 122    3.08386076   2.65779105  -7.70576903   5.603068151 -16.05301400
## 123    3.08386076   2.65779105  -7.70576903   5.603068151 -16.05301400
## 124    3.08386076   2.65779105  -7.70576903   5.603068151 -16.05301400
## 125    3.08386076   2.65779105  -7.70576903   5.603068151 -16.05301400
## 126    3.08386076   2.65779105  -7.70576903   5.603068151 -16.05301400
## 127    3.08386076   2.65779105  -7.70576903   5.603068151 -16.05301400
## 128    3.08386076   2.65779105  -7.70576903   5.603068151 -16.05301400
## 129    2.37308307  -1.71937873 -15.55822496  -1.923228498  -0.85182804
## 130    2.37308307  -1.71937873 -15.55822496  -1.923228498  -0.85182804
## 131    2.37308307  -1.71937873 -15.55822496  -1.923228498  -0.85182804
## 132    2.37308307  -1.71937873 -15.55822496  -1.923228498  -0.85182804
## 133    2.37308307  -1.71937873 -15.55822496  -1.923228498  -0.85182804
## 134    2.37308307  -1.71937873 -15.55822496  -1.923228498  -0.85182804
## 135    2.37308307  -1.71937873 -15.55822496  -1.923228498  -0.85182804
## 136    2.37308307  -1.71937873 -15.55822496  -1.923228498  -0.85182804
## 137   -0.19951030   7.19508682  41.63242907   1.597235730  -2.26200947
## 138   -0.19951030   7.19508682  41.63242907   1.597235730  -2.26200947
## 139   -0.19951030   7.19508682  41.63242907   1.597235730  -2.26200947
## 140   -0.19951030   7.19508682  41.63242907   1.597235730  -2.26200947
## 141   -0.19951030   7.19508682  41.63242907   1.597235730  -2.26200947
## 142   -0.19951030   7.19508682  41.63242907   1.597235730  -2.26200947
## 143   -0.19951030   7.19508682  41.63242907   1.597235730  -2.26200947
## 144   -0.19951030   7.19508682  41.63242907   1.597235730  -2.26200947
## 145    0.11284730   0.02294075  22.17328423 -45.749710004  11.00995513
## 146    0.11284730   0.02294075  22.17328423 -45.749710004  11.00995513
## 147    0.11284730   0.02294075  22.17328423 -45.749710004  11.00995513
## 148    0.11284730   0.02294075  22.17328423 -45.749710004  11.00995513
## 149    0.11284730   0.02294075  22.17328423 -45.749710004  11.00995513
## 150    0.11284730   0.02294075  22.17328423 -45.749710004  11.00995513
## 151    0.11284730   0.02294075  22.17328423 -45.749710004  11.00995513
## 152    0.11284730   0.02294075  22.17328423 -45.749710004  11.00995513
## 153    0.84844616  50.96590009  25.83176742   0.185396519   0.85051155
## 154    0.84844616  50.96590009  25.83176742   0.185396519   0.85051155
## 155    0.84844616  50.96590009  25.83176742   0.185396519   0.85051155
## 156    0.84844616  50.96590009  25.83176742   0.185396519   0.85051155
## 157    0.84844616  50.96590009  25.83176742   0.185396519   0.85051155
## 158    0.84844616  50.96590009  25.83176742   0.185396519   0.85051155
## 159    0.84844616  50.96590009  25.83176742   0.185396519   0.85051155
## 160    0.84844616  50.96590009  25.83176742   0.185396519   0.85051155
## 161   -2.12367912  -0.15146528 -17.49401895  42.861466817  -0.52254619
## 162   -2.12367912  -0.15146528 -17.49401895  42.861466817  -0.52254619
## 163   -2.12367912  -0.15146528 -17.49401895  42.861466817  -0.52254619
## 164   -2.12367912  -0.15146528 -17.49401895  42.861466817  -0.52254619
## 165   -2.12367912  -0.15146528 -17.49401895  42.861466817  -0.52254619
## 166   -2.12367912  -0.15146528 -17.49401895  42.861466817  -0.52254619
## 167   -2.12367912  -0.15146528 -17.49401895  42.861466817  -0.52254619
## 168   -2.12367912  -0.15146528 -17.49401895  42.861466817  -0.52254619
## 169  -90.28117240  -0.80593549   0.12321593   3.449895023   3.14633128
## 170  -90.28117240  -0.80593549   0.12321593   3.449895023   3.14633128
## 171  -90.28117240  -0.80593549   0.12321593   3.449895023   3.14633128
## 172  -90.28117240  -0.80593549   0.12321593   3.449895023   3.14633128
## 173  -90.28117240  -0.80593549   0.12321593   3.449895023   3.14633128
## 174  -90.28117240  -0.80593549   0.12321593   3.449895023   3.14633128
## 175  -90.28117240  -0.80593549   0.12321593   3.449895023   3.14633128
## 176  -90.28117240  -0.80593549   0.12321593   3.449895023   3.14633128
## 177   -1.38824275  -3.07295238  -2.48791572  -5.235312494   0.41375467
## 178   -1.38824275  -3.07295238  -2.48791572  -5.235312494   0.41375467
## 179   -1.38824275  -3.07295238  -2.48791572  -5.235312494   0.41375467
## 180   -1.38824275  -3.07295238  -2.48791572  -5.235312494   0.41375467
## 181   -1.38824275  -3.07295238  -2.48791572  -5.235312494   0.41375467
## 182   -1.38824275  -3.07295238  -2.48791572  -5.235312494   0.41375467
## 183   -1.38824275  -3.07295238  -2.48791572  -5.235312494   0.41375467
## 184   -1.38824275  -3.07295238  -2.48791572  -5.235312494   0.41375467
## 185    0.60679121  78.39520436 -29.87686251  -2.119202927   5.51680476
## 186    0.60679121  78.39520436 -29.87686251  -2.119202927   5.51680476
## 187    0.60679121  78.39520436 -29.87686251  -2.119202927   5.51680476
## 188    0.60679121  78.39520436 -29.87686251  -2.119202927   5.51680476
## 189    0.60679121  78.39520436 -29.87686251  -2.119202927   5.51680476
## 190    0.60679121  78.39520436 -29.87686251  -2.119202927   5.51680476
## 191    0.60679121  78.39520436 -29.87686251  -2.119202927   5.51680476
## 192    0.60679121  78.39520436 -29.87686251  -2.119202927   5.51680476
## 193    1.72002701  -9.44473261   3.33931560   4.618296668  -3.76449137
## 194    1.72002701  -9.44473261   3.33931560   4.618296668  -3.76449137
## 195    1.72002701  -9.44473261   3.33931560   4.618296668  -3.76449137
## 196    1.72002701  -9.44473261   3.33931560   4.618296668  -3.76449137
## 197    1.72002701  -9.44473261   3.33931560   4.618296668  -3.76449137
## 198    1.72002701  -9.44473261   3.33931560   4.618296668  -3.76449137
## 199    1.72002701  -9.44473261   3.33931560   4.618296668  -3.76449137
## 200    1.72002701  -9.44473261   3.33931560   4.618296668  -3.76449137
## 201    1.53431077   6.66470387  31.03012059   1.587183271  -7.89447897
## 202    1.53431077   6.66470387  31.03012059   1.587183271  -7.89447897
## 203    1.53431077   6.66470387  31.03012059   1.587183271  -7.89447897
## 204    1.53431077   6.66470387  31.03012059   1.587183271  -7.89447897
## 205    1.53431077   6.66470387  31.03012059   1.587183271  -7.89447897
## 206    1.53431077   6.66470387  31.03012059   1.587183271  -7.89447897
## 207    1.53431077   6.66470387  31.03012059   1.587183271  -7.89447897
## 208    1.53431077   6.66470387  31.03012059   1.587183271  -7.89447897
## 209   -1.36507485 -10.57886412  26.58427770   3.357769782   0.54486072
## 210   -1.36507485 -10.57886412  26.58427770   3.357769782   0.54486072
## 211   -1.36507485 -10.57886412  26.58427770   3.357769782   0.54486072
## 212   -1.36507485 -10.57886412  26.58427770   3.357769782   0.54486072
## 213   -1.36507485 -10.57886412  26.58427770   3.357769782   0.54486072
## 214   -1.36507485 -10.57886412  26.58427770   3.357769782   0.54486072
## 215   -1.36507485 -10.57886412  26.58427770   3.357769782   0.54486072
## 216   -1.36507485 -10.57886412  26.58427770   3.357769782   0.54486072
## 217   -0.33347918  -2.72522057  59.11789601  -1.515519583  -1.11485043
## 218   -0.33347918  -2.72522057  59.11789601  -1.515519583  -1.11485043
## 219   -0.33347918  -2.72522057  59.11789601  -1.515519583  -1.11485043
## 220   -0.33347918  -2.72522057  59.11789601  -1.515519583  -1.11485043
## 221   -0.33347918  -2.72522057  59.11789601  -1.515519583  -1.11485043
## 222   -0.33347918  -2.72522057  59.11789601  -1.515519583  -1.11485043
## 223   -0.33347918  -2.72522057  59.11789601  -1.515519583  -1.11485043
## 224   -0.33347918  -2.72522057  59.11789601  -1.515519583  -1.11485043
## 225  -17.52112969  -1.28696034 -16.07380133   1.036702783  -1.61635012
## 226  -17.52112969  -1.28696034 -16.07380133   1.036702783  -1.61635012
## 227  -17.52112969  -1.28696034 -16.07380133   1.036702783  -1.61635012
## 228  -17.52112969  -1.28696034 -16.07380133   1.036702783  -1.61635012
## 229  -17.52112969  -1.28696034 -16.07380133   1.036702783  -1.61635012
## 230  -17.52112969  -1.28696034 -16.07380133   1.036702783  -1.61635012
## 231  -17.52112969  -1.28696034 -16.07380133   1.036702783  -1.61635012
## 232  -17.52112969  -1.28696034 -16.07380133   1.036702783  -1.61635012
## 233   -0.70087966  -7.63281055  20.50935956   2.587496046  26.15518865
## 234   -0.70087966  -7.63281055  20.50935956   2.587496046  26.15518865
## 235   -0.70087966  -7.63281055  20.50935956   2.587496046  26.15518865
## 236   -0.70087966  -7.63281055  20.50935956   2.587496046  26.15518865
## 237   -0.70087966  -7.63281055  20.50935956   2.587496046  26.15518865
## 238   -0.70087966  -7.63281055  20.50935956   2.587496046  26.15518865
## 239   -0.70087966  -7.63281055  20.50935956   2.587496046  26.15518865
## 240   -0.70087966  -7.63281055  20.50935956   2.587496046  26.15518865
## 241   -1.81448962   1.31472114  17.64589659 -51.840328634  18.75066816
## 242   -1.81448962   1.31472114  17.64589659 -51.840328634  18.75066816
## 243   -1.81448962   1.31472114  17.64589659 -51.840328634  18.75066816
## 244   -1.81448962   1.31472114  17.64589659 -51.840328634  18.75066816
## 245   -1.81448962   1.31472114  17.64589659 -51.840328634  18.75066816
## 246   -1.81448962   1.31472114  17.64589659 -51.840328634  18.75066816
## 247   -1.81448962   1.31472114  17.64589659 -51.840328634  18.75066816
## 248   -1.81448962   1.31472114  17.64589659 -51.840328634  18.75066816
## 249   -0.32596320  -0.97014158 -17.89513729   5.078388464   3.37125941
## 250   -0.32596320  -0.97014158 -17.89513729   5.078388464   3.37125941
## 251   -0.32596320  -0.97014158 -17.89513729   5.078388464   3.37125941
## 252   -0.32596320  -0.97014158 -17.89513729   5.078388464   3.37125941
## 253   -0.32596320  -0.97014158 -17.89513729   5.078388464   3.37125941
## 254   -0.32596320  -0.97014158 -17.89513729   5.078388464   3.37125941
## 255   -0.32596320  -0.97014158 -17.89513729   5.078388464   3.37125941
## 256   -0.32596320  -0.97014158 -17.89513729   5.078388464   3.37125941
## 257   18.34664708  -0.94620473  -9.24192251  -6.481639298  -3.69835429
## 258   18.34664708  -0.94620473  -9.24192251  -6.481639298  -3.69835429
## 259   18.34664708  -0.94620473  -9.24192251  -6.481639298  -3.69835429
## 260   18.34664708  -0.94620473  -9.24192251  -6.481639298  -3.69835429
## 261   18.34664708  -0.94620473  -9.24192251  -6.481639298  -3.69835429
## 262   18.34664708  -0.94620473  -9.24192251  -6.481639298  -3.69835429
## 263   18.34664708  -0.94620473  -9.24192251  -6.481639298  -3.69835429
## 264   18.34664708  -0.94620473  -9.24192251  -6.481639298  -3.69835429
## 265    0.80995532  -5.05251038   9.76205120  -4.950203821  19.31745776
## 266    0.80995532  -5.05251038   9.76205120  -4.950203821  19.31745776
## 267    0.80995532  -5.05251038   9.76205120  -4.950203821  19.31745776
## 268    0.80995532  -5.05251038   9.76205120  -4.950203821  19.31745776
## 269    0.80995532  -5.05251038   9.76205120  -4.950203821  19.31745776
## 270    0.80995532  -5.05251038   9.76205120  -4.950203821  19.31745776
## 271    0.80995532  -5.05251038   9.76205120  -4.950203821  19.31745776
## 272    0.80995532  -5.05251038   9.76205120  -4.950203821  19.31745776
## 273    0.72884703  -1.99858642  18.88564484   8.453049491 -25.49690952
## 274    0.72884703  -1.99858642  18.88564484   8.453049491 -25.49690952
## 275    0.72884703  -1.99858642  18.88564484   8.453049491 -25.49690952
## 276    0.72884703  -1.99858642  18.88564484   8.453049491 -25.49690952
## 277    0.72884703  -1.99858642  18.88564484   8.453049491 -25.49690952
## 278    0.72884703  -1.99858642  18.88564484   8.453049491 -25.49690952
## 279    0.72884703  -1.99858642  18.88564484   8.453049491 -25.49690952
## 280    0.72884703  -1.99858642  18.88564484   8.453049491 -25.49690952
## 281    5.08701119   7.79551568  25.04248801  -4.550766956  58.91505283
## 282    5.08701119   7.79551568  25.04248801  -4.550766956  58.91505283
## 283    5.08701119   7.79551568  25.04248801  -4.550766956  58.91505283
## 284    5.08701119   7.79551568  25.04248801  -4.550766956  58.91505283
## 285    5.08701119   7.79551568  25.04248801  -4.550766956  58.91505283
## 286    5.08701119   7.79551568  25.04248801  -4.550766956  58.91505283
## 287    5.08701119   7.79551568  25.04248801  -4.550766956  58.91505283
## 288    5.08701119   7.79551568  25.04248801  -4.550766956  58.91505283
## 289    0.56265704   0.32621856   5.58371231  -7.831063075 -11.25115673
## 290    0.56265704   0.32621856   5.58371231  -7.831063075 -11.25115673
## 291    0.56265704   0.32621856   5.58371231  -7.831063075 -11.25115673
## 292    0.56265704   0.32621856   5.58371231  -7.831063075 -11.25115673
## 293    0.56265704   0.32621856   5.58371231  -7.831063075 -11.25115673
## 294    0.56265704   0.32621856   5.58371231  -7.831063075 -11.25115673
## 295    0.56265704   0.32621856   5.58371231  -7.831063075 -11.25115673
## 296    0.56265704   0.32621856   5.58371231  -7.831063075 -11.25115673
## 297    1.92968876   0.47161884   0.05938773  -8.795799109  -3.67565375
## 298    1.92968876   0.47161884   0.05938773  -8.795799109  -3.67565375
## 299    1.92968876   0.47161884   0.05938773  -8.795799109  -3.67565375
## 300    1.92968876   0.47161884   0.05938773  -8.795799109  -3.67565375
## 301    1.92968876   0.47161884   0.05938773  -8.795799109  -3.67565375
## 302    1.92968876   0.47161884   0.05938773  -8.795799109  -3.67565375
## 303    1.92968876   0.47161884   0.05938773  -8.795799109  -3.67565375
## 304    1.92968876   0.47161884   0.05938773  -8.795799109  -3.67565375
## 305    3.49763593   0.44425193 -17.77270663   5.339139094   1.58036577
## 306    3.49763593   0.44425193 -17.77270663   5.339139094   1.58036577
## 307    3.49763593   0.44425193 -17.77270663   5.339139094   1.58036577
## 308    3.49763593   0.44425193 -17.77270663   5.339139094   1.58036577
## 309    3.49763593   0.44425193 -17.77270663   5.339139094   1.58036577
## 310    3.49763593   0.44425193 -17.77270663   5.339139094   1.58036577
## 311    3.49763593   0.44425193 -17.77270663   5.339139094   1.58036577
## 312    3.49763593   0.44425193 -17.77270663   5.339139094   1.58036577
## 313    2.10536299   7.10994721  23.45251163  13.085357465  31.62115787
## 314    2.10536299   7.10994721  23.45251163  13.085357465  31.62115787
## 315    2.10536299   7.10994721  23.45251163  13.085357465  31.62115787
## 316    2.10536299   7.10994721  23.45251163  13.085357465  31.62115787
## 317    2.10536299   7.10994721  23.45251163  13.085357465  31.62115787
## 318    2.10536299   7.10994721  23.45251163  13.085357465  31.62115787
## 319    2.10536299   7.10994721  23.45251163  13.085357465  31.62115787
## 320    2.10536299   7.10994721  23.45251163  13.085357465  31.62115787
## 321    3.43002986  10.07209426  15.54084275   3.762715122 -49.56405424
## 322    3.43002986  10.07209426  15.54084275   3.762715122 -49.56405424
## 323    3.43002986  10.07209426  15.54084275   3.762715122 -49.56405424
## 324    3.43002986  10.07209426  15.54084275   3.762715122 -49.56405424
## 325    3.43002986  10.07209426  15.54084275   3.762715122 -49.56405424
## 326    3.43002986  10.07209426  15.54084275   3.762715122 -49.56405424
## 327    3.43002986  10.07209426  15.54084275   3.762715122 -49.56405424
## 328    3.43002986  10.07209426  15.54084275   3.762715122 -49.56405424
## 329    1.08732544   3.86304219 -12.49231608 -14.245844418 -11.94440794
## 330    1.08732544   3.86304219 -12.49231608 -14.245844418 -11.94440794
## 331    1.08732544   3.86304219 -12.49231608 -14.245844418 -11.94440794
## 332    1.08732544   3.86304219 -12.49231608 -14.245844418 -11.94440794
## 333    1.08732544   3.86304219 -12.49231608 -14.245844418 -11.94440794
## 334    1.08732544   3.86304219 -12.49231608 -14.245844418 -11.94440794
## 335    1.08732544   3.86304219 -12.49231608 -14.245844418 -11.94440794
## 336    1.08732544   3.86304219 -12.49231608 -14.245844418 -11.94440794
## 337    1.47093438  -4.37098625  25.21624625   1.575371435  -4.05796354
## 338    1.47093438  -4.37098625  25.21624625   1.575371435  -4.05796354
## 339    1.47093438  -4.37098625  25.21624625   1.575371435  -4.05796354
## 340    1.47093438  -4.37098625  25.21624625   1.575371435  -4.05796354
## 341    1.47093438  -4.37098625  25.21624625   1.575371435  -4.05796354
## 342    1.47093438  -4.37098625  25.21624625   1.575371435  -4.05796354
## 343    1.47093438  -4.37098625  25.21624625   1.575371435  -4.05796354
## 344    1.47093438  -4.37098625  25.21624625   1.575371435  -4.05796354
## 345   -1.50782569   0.06207519  22.71903695   1.789779983 -21.10752288
## 346   -1.50782569   0.06207519  22.71903695   1.789779983 -21.10752288
## 347   -1.50782569   0.06207519  22.71903695   1.789779983 -21.10752288
## 348   -1.50782569   0.06207519  22.71903695   1.789779983 -21.10752288
## 349   -1.50782569   0.06207519  22.71903695   1.789779983 -21.10752288
## 350   -1.50782569   0.06207519  22.71903695   1.789779983 -21.10752288
## 351   -1.50782569   0.06207519  22.71903695   1.789779983 -21.10752288
## 352   -1.50782569   0.06207519  22.71903695   1.789779983 -21.10752288
## 353    1.66832739  -3.91997909  14.99814115  -2.873891971  -4.42064725
## 354    1.66832739  -3.91997909  14.99814115  -2.873891971  -4.42064725
## 355    1.66832739  -3.91997909  14.99814115  -2.873891971  -4.42064725
## 356    1.66832739  -3.91997909  14.99814115  -2.873891971  -4.42064725
## 357    1.66832739  -3.91997909  14.99814115  -2.873891971  -4.42064725
## 358    1.66832739  -3.91997909  14.99814115  -2.873891971  -4.42064725
## 359    1.66832739  -3.91997909  14.99814115  -2.873891971  -4.42064725
## 360    1.66832739  -3.91997909  14.99814115  -2.873891971  -4.42064725
## 361   -0.75633295   3.14334305  28.93647718   1.983797445  -7.77837819
## 362   -0.75633295   3.14334305  28.93647718   1.983797445  -7.77837819
## 363   -0.75633295   3.14334305  28.93647718   1.983797445  -7.77837819
## 364   -0.75633295   3.14334305  28.93647718   1.983797445  -7.77837819
## 365   -0.75633295   3.14334305  28.93647718   1.983797445  -7.77837819
## 366   -0.75633295   3.14334305  28.93647718   1.983797445  -7.77837819
## 367   -0.75633295   3.14334305  28.93647718   1.983797445  -7.77837819
## 368   -0.75633295   3.14334305  28.93647718   1.983797445  -7.77837819
## 369    0.30172836   0.05032022  11.93830677  17.273456541   0.36103667
## 370    0.30172836   0.05032022  11.93830677  17.273456541   0.36103667
## 371    0.30172836   0.05032022  11.93830677  17.273456541   0.36103667
## 372    0.30172836   0.05032022  11.93830677  17.273456541   0.36103667
## 373    0.30172836   0.05032022  11.93830677  17.273456541   0.36103667
## 374    0.30172836   0.05032022  11.93830677  17.273456541   0.36103667
## 375    0.30172836   0.05032022  11.93830677  17.273456541   0.36103667
## 376    0.30172836   0.05032022  11.93830677  17.273456541   0.36103667
## 377   -1.66614226  -2.46225004 -25.47591357  26.947729359  -4.77460560
## 378   -1.66614226  -2.46225004 -25.47591357  26.947729359  -4.77460560
## 379   -1.66614226  -2.46225004 -25.47591357  26.947729359  -4.77460560
## 380   -1.66614226  -2.46225004 -25.47591357  26.947729359  -4.77460560
## 381   -1.66614226  -2.46225004 -25.47591357  26.947729359  -4.77460560
## 382   -1.66614226  -2.46225004 -25.47591357  26.947729359  -4.77460560
## 383   -1.66614226  -2.46225004 -25.47591357  26.947729359  -4.77460560
## 384   -1.66614226  -2.46225004 -25.47591357  26.947729359  -4.77460560
## 385    4.38739970  -0.89303678  -6.87835906   2.934353027   1.45405494
## 386    4.38739970  -0.89303678  -6.87835906   2.934353027   1.45405494
## 387    4.38739970  -0.89303678  -6.87835906   2.934353027   1.45405494
## 388    4.38739970  -0.89303678  -6.87835906   2.934353027   1.45405494
## 389    4.38739970  -0.89303678  -6.87835906   2.934353027   1.45405494
## 390    4.38739970  -0.89303678  -6.87835906   2.934353027   1.45405494
## 391    4.38739970  -0.89303678  -6.87835906   2.934353027   1.45405494
## 392    4.38739970  -0.89303678  -6.87835906   2.934353027   1.45405494
## 393   17.56125578  -6.67846467  -0.53605085  -0.608182991   2.23225286
## 394   17.56125578  -6.67846467  -0.53605085  -0.608182991   2.23225286
## 395   17.56125578  -6.67846467  -0.53605085  -0.608182991   2.23225286
## 396   17.56125578  -6.67846467  -0.53605085  -0.608182991   2.23225286
## 397   17.56125578  -6.67846467  -0.53605085  -0.608182991   2.23225286
## 398   17.56125578  -6.67846467  -0.53605085  -0.608182991   2.23225286
## 399   17.56125578  -6.67846467  -0.53605085  -0.608182991   2.23225286
## 400   17.56125578  -6.67846467  -0.53605085  -0.608182991   2.23225286
## 401   -0.33872464   4.46630164  25.52184984   6.951538884  45.01918195
## 402   -0.33872464   4.46630164  25.52184984   6.951538884  45.01918195
## 403   -0.33872464   4.46630164  25.52184984   6.951538884  45.01918195
## 404   -0.33872464   4.46630164  25.52184984   6.951538884  45.01918195
## 405   -0.33872464   4.46630164  25.52184984   6.951538884  45.01918195
## 406   -0.33872464   4.46630164  25.52184984   6.951538884  45.01918195
## 407   -0.33872464   4.46630164  25.52184984   6.951538884  45.01918195
## 408   -0.33872464   4.46630164  25.52184984   6.951538884  45.01918195
## 409    6.35973342   1.01199408  18.89375271  35.619404536  29.38345385
## 410    6.35973342   1.01199408  18.89375271  35.619404536  29.38345385
## 411    6.35973342   1.01199408  18.89375271  35.619404536  29.38345385
## 412    6.35973342   1.01199408  18.89375271  35.619404536  29.38345385
## 413    6.35973342   1.01199408  18.89375271  35.619404536  29.38345385
## 414    6.35973342   1.01199408  18.89375271  35.619404536  29.38345385
## 415    6.35973342   1.01199408  18.89375271  35.619404536  29.38345385
## 416    6.35973342   1.01199408  18.89375271  35.619404536  29.38345385
## 417   10.46010165  -1.55728415  -5.67663414   6.474605027   4.75413767
## 418   10.46010165  -1.55728415  -5.67663414   6.474605027   4.75413767
## 419   10.46010165  -1.55728415  -5.67663414   6.474605027   4.75413767
## 420   10.46010165  -1.55728415  -5.67663414   6.474605027   4.75413767
## 421   10.46010165  -1.55728415  -5.67663414   6.474605027   4.75413767
## 422   10.46010165  -1.55728415  -5.67663414   6.474605027   4.75413767
## 423   10.46010165  -1.55728415  -5.67663414   6.474605027   4.75413767
## 424   10.46010165  -1.55728415  -5.67663414   6.474605027   4.75413767
## 425    1.46394097 -13.53205249   3.90394336   7.824455606 -22.76778744
## 426    1.46394097 -13.53205249   3.90394336   7.824455606 -22.76778744
## 427    1.46394097 -13.53205249   3.90394336   7.824455606 -22.76778744
## 428    1.46394097 -13.53205249   3.90394336   7.824455606 -22.76778744
## 429    1.46394097 -13.53205249   3.90394336   7.824455606 -22.76778744
## 430    1.46394097 -13.53205249   3.90394336   7.824455606 -22.76778744
## 431    1.46394097 -13.53205249   3.90394336   7.824455606 -22.76778744
## 432    1.46394097 -13.53205249   3.90394336   7.824455606 -22.76778744
## 433    3.55724682  -0.07887528   3.83928528  -4.590020117   4.70524471
## 434    3.55724682  -0.07887528   3.83928528  -4.590020117   4.70524471
## 435    3.55724682  -0.07887528   3.83928528  -4.590020117   4.70524471
## 436    3.55724682  -0.07887528   3.83928528  -4.590020117   4.70524471
## 437    3.55724682  -0.07887528   3.83928528  -4.590020117   4.70524471
## 438    3.55724682  -0.07887528   3.83928528  -4.590020117   4.70524471
## 439    3.55724682  -0.07887528   3.83928528  -4.590020117   4.70524471
## 440    3.55724682  -0.07887528   3.83928528  -4.590020117   4.70524471
## 441   -0.28229712 -26.50676886  32.24724162  -0.004621172   3.80023251
## 442   -0.28229712 -26.50676886  32.24724162  -0.004621172   3.80023251
## 443   -0.28229712 -26.50676886  32.24724162  -0.004621172   3.80023251
## 444   -0.28229712 -26.50676886  32.24724162  -0.004621172   3.80023251
## 445   -0.28229712 -26.50676886  32.24724162  -0.004621172   3.80023251
## 446   -0.28229712 -26.50676886  32.24724162  -0.004621172   3.80023251
## 447   -0.28229712 -26.50676886  32.24724162  -0.004621172   3.80023251
## 448   -0.28229712 -26.50676886  32.24724162  -0.004621172   3.80023251
## 449   -0.25171196  -7.38541239 -12.23237279  -5.610389184   4.65325900
## 450   -0.25171196  -7.38541239 -12.23237279  -5.610389184   4.65325900
## 451   -0.25171196  -7.38541239 -12.23237279  -5.610389184   4.65325900
## 452   -0.25171196  -7.38541239 -12.23237279  -5.610389184   4.65325900
## 453   -0.25171196  -7.38541239 -12.23237279  -5.610389184   4.65325900
## 454   -0.25171196  -7.38541239 -12.23237279  -5.610389184   4.65325900
## 455   -0.25171196  -7.38541239 -12.23237279  -5.610389184   4.65325900
## 456   -0.25171196  -7.38541239 -12.23237279  -5.610389184   4.65325900
## 457   -0.54389468  -2.63448996 -12.91022816   7.755154481  -2.26947397
## 458   -0.54389468  -2.63448996 -12.91022816   7.755154481  -2.26947397
## 459   -0.54389468  -2.63448996 -12.91022816   7.755154481  -2.26947397
## 460   -0.54389468  -2.63448996 -12.91022816   7.755154481  -2.26947397
## 461   -0.54389468  -2.63448996 -12.91022816   7.755154481  -2.26947397
## 462   -0.54389468  -2.63448996 -12.91022816   7.755154481  -2.26947397
## 463   -0.54389468  -2.63448996 -12.91022816   7.755154481  -2.26947397
## 464   -0.54389468  -2.63448996 -12.91022816   7.755154481  -2.26947397
## 465    1.82989880   2.85971193 -16.15826109  -2.939829307 -11.72133143
## 466    1.82989880   2.85971193 -16.15826109  -2.939829307 -11.72133143
## 467    1.82989880   2.85971193 -16.15826109  -2.939829307 -11.72133143
## 468    1.82989880   2.85971193 -16.15826109  -2.939829307 -11.72133143
## 469    1.82989880   2.85971193 -16.15826109  -2.939829307 -11.72133143
## 470    1.82989880   2.85971193 -16.15826109  -2.939829307 -11.72133143
## 471    1.82989880   2.85971193 -16.15826109  -2.939829307 -11.72133143
## 472    1.82989880   2.85971193 -16.15826109  -2.939829307 -11.72133143
## 473   -0.22801902 -10.38620336  29.50098979   1.543703845  -6.95906033
## 474   -0.22801902 -10.38620336  29.50098979   1.543703845  -6.95906033
## 475   -0.22801902 -10.38620336  29.50098979   1.543703845  -6.95906033
## 476   -0.22801902 -10.38620336  29.50098979   1.543703845  -6.95906033
## 477   -0.22801902 -10.38620336  29.50098979   1.543703845  -6.95906033
## 478   -0.22801902 -10.38620336  29.50098979   1.543703845  -6.95906033
## 479   -0.22801902 -10.38620336  29.50098979   1.543703845  -6.95906033
## 480   -0.22801902 -10.38620336  29.50098979   1.543703845  -6.95906033
## 481    0.70216285 -13.30394620  13.59060834  -0.689695218   6.46961300
## 482    0.70216285 -13.30394620  13.59060834  -0.689695218   6.46961300
## 483    0.70216285 -13.30394620  13.59060834  -0.689695218   6.46961300
## 484    0.70216285 -13.30394620  13.59060834  -0.689695218   6.46961300
## 485    0.70216285 -13.30394620  13.59060834  -0.689695218   6.46961300
## 486    0.70216285 -13.30394620  13.59060834  -0.689695218   6.46961300
## 487    0.70216285 -13.30394620  13.59060834  -0.689695218   6.46961300
## 488    0.70216285 -13.30394620  13.59060834  -0.689695218   6.46961300
## 489    1.61367887 -15.97739447 -28.52454721   2.142264189  -1.85068193
## 490    1.61367887 -15.97739447 -28.52454721   2.142264189  -1.85068193
## 491    1.61367887 -15.97739447 -28.52454721   2.142264189  -1.85068193
## 492    1.61367887 -15.97739447 -28.52454721   2.142264189  -1.85068193
## 493    1.61367887 -15.97739447 -28.52454721   2.142264189  -1.85068193
## 494    1.61367887 -15.97739447 -28.52454721   2.142264189  -1.85068193
## 495    1.61367887 -15.97739447 -28.52454721   2.142264189  -1.85068193
## 496    1.61367887 -15.97739447 -28.52454721   2.142264189  -1.85068193
## 497    0.67117847  -4.81365366  -6.40692291  13.135559834  -4.17317982
## 498    0.67117847  -4.81365366  -6.40692291  13.135559834  -4.17317982
## 499    0.67117847  -4.81365366  -6.40692291  13.135559834  -4.17317982
## 500    0.67117847  -4.81365366  -6.40692291  13.135559834  -4.17317982
## 501    0.67117847  -4.81365366  -6.40692291  13.135559834  -4.17317982
## 502    0.67117847  -4.81365366  -6.40692291  13.135559834  -4.17317982
## 503    0.67117847  -4.81365366  -6.40692291  13.135559834  -4.17317982
## 504    0.67117847  -4.81365366  -6.40692291  13.135559834  -4.17317982
## 505   -0.87557900  30.17712273 -32.36935873  -6.031591060   4.10794695
## 506   -0.87557900  30.17712273 -32.36935873  -6.031591060   4.10794695
## 507   -0.87557900  30.17712273 -32.36935873  -6.031591060   4.10794695
## 508   -0.87557900  30.17712273 -32.36935873  -6.031591060   4.10794695
## 509   -0.87557900  30.17712273 -32.36935873  -6.031591060   4.10794695
## 510   -0.87557900  30.17712273 -32.36935873  -6.031591060   4.10794695
## 511   -0.87557900  30.17712273 -32.36935873  -6.031591060   4.10794695
## 512   -0.87557900  30.17712273 -32.36935873  -6.031591060   4.10794695
## 513    0.27575767  -2.79306805 -20.58711518   1.649971987 -19.70609676
## 514    0.27575767  -2.79306805 -20.58711518   1.649971987 -19.70609676
## 515    0.27575767  -2.79306805 -20.58711518   1.649971987 -19.70609676
## 516    0.27575767  -2.79306805 -20.58711518   1.649971987 -19.70609676
## 517    0.27575767  -2.79306805 -20.58711518   1.649971987 -19.70609676
## 518    0.27575767  -2.79306805 -20.58711518   1.649971987 -19.70609676
## 519    0.27575767  -2.79306805 -20.58711518   1.649971987 -19.70609676
## 520    0.27575767  -2.79306805 -20.58711518   1.649971987 -19.70609676
## 521    0.29420277  -6.00291431 -14.46494379  19.736026445  24.84103552
## 522    0.29420277  -6.00291431 -14.46494379  19.736026445  24.84103552
## 523    0.29420277  -6.00291431 -14.46494379  19.736026445  24.84103552
## 524    0.29420277  -6.00291431 -14.46494379  19.736026445  24.84103552
## 525    0.29420277  -6.00291431 -14.46494379  19.736026445  24.84103552
## 526    0.29420277  -6.00291431 -14.46494379  19.736026445  24.84103552
## 527    0.29420277  -6.00291431 -14.46494379  19.736026445  24.84103552
## 528    0.29420277  -6.00291431 -14.46494379  19.736026445  24.84103552
## 529    0.24859574  -4.34738187  10.71342402   1.898494645  -6.08753618
## 530    0.24859574  -4.34738187  10.71342402   1.898494645  -6.08753618
## 531    0.24859574  -4.34738187  10.71342402   1.898494645  -6.08753618
## 532    0.24859574  -4.34738187  10.71342402   1.898494645  -6.08753618
## 533    0.24859574  -4.34738187  10.71342402   1.898494645  -6.08753618
## 534    0.24859574  -4.34738187  10.71342402   1.898494645  -6.08753618
## 535    0.24859574  -4.34738187  10.71342402   1.898494645  -6.08753618
## 536    0.24859574  -4.34738187  10.71342402   1.898494645  -6.08753618
## 537    1.04786395  -5.70931731 -15.10629901  32.680370800  -5.46802402
## 538    1.04786395  -5.70931731 -15.10629901  32.680370800  -5.46802402
## 539    1.04786395  -5.70931731 -15.10629901  32.680370800  -5.46802402
## 540    1.04786395  -5.70931731 -15.10629901  32.680370800  -5.46802402
## 541    1.04786395  -5.70931731 -15.10629901  32.680370800  -5.46802402
## 542    1.04786395  -5.70931731 -15.10629901  32.680370800  -5.46802402
## 543    1.04786395  -5.70931731 -15.10629901  32.680370800  -5.46802402
## 544    1.04786395  -5.70931731 -15.10629901  32.680370800  -5.46802402
## 545  -13.49806089  -5.32209970   3.70861893   3.677859021   4.58926632
## 546  -13.49806089  -5.32209970   3.70861893   3.677859021   4.58926632
## 547  -13.49806089  -5.32209970   3.70861893   3.677859021   4.58926632
## 548  -13.49806089  -5.32209970   3.70861893   3.677859021   4.58926632
## 549  -13.49806089  -5.32209970   3.70861893   3.677859021   4.58926632
## 550  -13.49806089  -5.32209970   3.70861893   3.677859021   4.58926632
## 551  -13.49806089  -5.32209970   3.70861893   3.677859021   4.58926632
## 552  -13.49806089  -5.32209970   3.70861893   3.677859021   4.58926632
## 553    0.78835017   1.11914251 -19.39208862 -10.346459258   0.76258299
## 554    0.78835017   1.11914251 -19.39208862 -10.346459258   0.76258299
## 555    0.78835017   1.11914251 -19.39208862 -10.346459258   0.76258299
## 556    0.78835017   1.11914251 -19.39208862 -10.346459258   0.76258299
## 557    0.78835017   1.11914251 -19.39208862 -10.346459258   0.76258299
## 558    0.78835017   1.11914251 -19.39208862 -10.346459258   0.76258299
## 559    0.78835017   1.11914251 -19.39208862 -10.346459258   0.76258299
## 560    0.78835017   1.11914251 -19.39208862 -10.346459258   0.76258299
## 561   -0.22722300   0.67891957  -7.76030284   9.306278793  12.38813073
## 562   -0.22722300   0.67891957  -7.76030284   9.306278793  12.38813073
## 563   -0.22722300   0.67891957  -7.76030284   9.306278793  12.38813073
## 564   -0.22722300   0.67891957  -7.76030284   9.306278793  12.38813073
## 565   -0.22722300   0.67891957  -7.76030284   9.306278793  12.38813073
## 566   -0.22722300   0.67891957  -7.76030284   9.306278793  12.38813073
## 567   -0.22722300   0.67891957  -7.76030284   9.306278793  12.38813073
## 568   -0.22722300   0.67891957  -7.76030284   9.306278793  12.38813073
## 569    0.55592995  -0.65529566 -11.87422195  -2.859954223  -0.31893334
## 570    0.55592995  -0.65529566 -11.87422195  -2.859954223  -0.31893334
## 571    0.55592995  -0.65529566 -11.87422195  -2.859954223  -0.31893334
## 572    0.55592995  -0.65529566 -11.87422195  -2.859954223  -0.31893334
## 573    0.55592995  -0.65529566 -11.87422195  -2.859954223  -0.31893334
## 574    0.55592995  -0.65529566 -11.87422195  -2.859954223  -0.31893334
## 575    0.55592995  -0.65529566 -11.87422195  -2.859954223  -0.31893334
## 576    0.55592995  -0.65529566 -11.87422195  -2.859954223  -0.31893334
## 577   -3.80260089  -6.33286665  -5.49014813  -8.544536353  -6.71985488
## 578   -3.80260089  -6.33286665  -5.49014813  -8.544536353  -6.71985488
## 579   -3.80260089  -6.33286665  -5.49014813  -8.544536353  -6.71985488
## 580   -3.80260089  -6.33286665  -5.49014813  -8.544536353  -6.71985488
## 581   -3.80260089  -6.33286665  -5.49014813  -8.544536353  -6.71985488
## 582   -3.80260089  -6.33286665  -5.49014813  -8.544536353  -6.71985488
## 583   -3.80260089  -6.33286665  -5.49014813  -8.544536353  -6.71985488
## 584   -3.80260089  -6.33286665  -5.49014813  -8.544536353  -6.71985488
## 585   -0.69833225  13.59550249 -39.60200084  -1.403672209   0.61729480
## 586   -0.69833225  13.59550249 -39.60200084  -1.403672209   0.61729480
## 587   -0.69833225  13.59550249 -39.60200084  -1.403672209   0.61729480
## 588   -0.69833225  13.59550249 -39.60200084  -1.403672209   0.61729480
## 589   -0.69833225  13.59550249 -39.60200084  -1.403672209   0.61729480
## 590   -0.69833225  13.59550249 -39.60200084  -1.403672209   0.61729480
## 591   -0.69833225  13.59550249 -39.60200084  -1.403672209   0.61729480
## 592   -0.69833225  13.59550249 -39.60200084  -1.403672209   0.61729480
## 593   -0.51070829  46.43795425 -27.92398594   1.522734630   5.54541627
## 594   -0.51070829  46.43795425 -27.92398594   1.522734630   5.54541627
## 595   -0.51070829  46.43795425 -27.92398594   1.522734630   5.54541627
## 596   -0.51070829  46.43795425 -27.92398594   1.522734630   5.54541627
## 597   -0.51070829  46.43795425 -27.92398594   1.522734630   5.54541627
## 598   -0.51070829  46.43795425 -27.92398594   1.522734630   5.54541627
## 599   -0.51070829  46.43795425 -27.92398594   1.522734630   5.54541627
## 600   -0.51070829  46.43795425 -27.92398594   1.522734630   5.54541627
## 601    3.58772233  -5.40791757   3.25044638   6.484188301  -3.06789068
## 602    3.58772233  -5.40791757   3.25044638   6.484188301  -3.06789068
## 603    3.58772233  -5.40791757   3.25044638   6.484188301  -3.06789068
## 604    3.58772233  -5.40791757   3.25044638   6.484188301  -3.06789068
## 605    3.58772233  -5.40791757   3.25044638   6.484188301  -3.06789068
## 606    3.58772233  -5.40791757   3.25044638   6.484188301  -3.06789068
## 607    3.58772233  -5.40791757   3.25044638   6.484188301  -3.06789068
## 608    3.58772233  -5.40791757   3.25044638   6.484188301  -3.06789068
## 609   -5.87852973  -3.04292673 -11.55922671  -8.231557042   0.90129798
## 610   -5.87852973  -3.04292673 -11.55922671  -8.231557042   0.90129798
## 611   -5.87852973  -3.04292673 -11.55922671  -8.231557042   0.90129798
## 612   -5.87852973  -3.04292673 -11.55922671  -8.231557042   0.90129798
## 613   -5.87852973  -3.04292673 -11.55922671  -8.231557042   0.90129798
## 614   -5.87852973  -3.04292673 -11.55922671  -8.231557042   0.90129798
## 615   -5.87852973  -3.04292673 -11.55922671  -8.231557042   0.90129798
## 616   -5.87852973  -3.04292673 -11.55922671  -8.231557042   0.90129798
## 617    0.74643863  -3.36925776 -16.65475607 -26.468564852   1.34823102
## 618    0.74643863  -3.36925776 -16.65475607 -26.468564852   1.34823102
## 619    0.74643863  -3.36925776 -16.65475607 -26.468564852   1.34823102
## 620    0.74643863  -3.36925776 -16.65475607 -26.468564852   1.34823102
## 621    0.74643863  -3.36925776 -16.65475607 -26.468564852   1.34823102
## 622    0.74643863  -3.36925776 -16.65475607 -26.468564852   1.34823102
## 623    0.74643863  -3.36925776 -16.65475607 -26.468564852   1.34823102
## 624    0.74643863  -3.36925776 -16.65475607 -26.468564852   1.34823102
## 625   -0.67209007  -3.41278933  15.06440462   6.430716708 -20.29543236
## 626   -0.67209007  -3.41278933  15.06440462   6.430716708 -20.29543236
## 627   -0.67209007  -3.41278933  15.06440462   6.430716708 -20.29543236
## 628   -0.67209007  -3.41278933  15.06440462   6.430716708 -20.29543236
## 629   -0.67209007  -3.41278933  15.06440462   6.430716708 -20.29543236
## 630   -0.67209007  -3.41278933  15.06440462   6.430716708 -20.29543236
## 631   -0.67209007  -3.41278933  15.06440462   6.430716708 -20.29543236
## 632   -0.67209007  -3.41278933  15.06440462   6.430716708 -20.29543236
## 633    0.14174393  -3.36011919 -21.42335239   2.550011768   4.07113080
## 634    0.14174393  -3.36011919 -21.42335239   2.550011768   4.07113080
## 635    0.14174393  -3.36011919 -21.42335239   2.550011768   4.07113080
## 636    0.14174393  -3.36011919 -21.42335239   2.550011768   4.07113080
## 637    0.14174393  -3.36011919 -21.42335239   2.550011768   4.07113080
## 638    0.14174393  -3.36011919 -21.42335239   2.550011768   4.07113080
## 639    0.14174393  -3.36011919 -21.42335239   2.550011768   4.07113080
## 640    0.14174393  -3.36011919 -21.42335239   2.550011768   4.07113080
## 641   -0.57290717 -10.30396627 -23.59884946  -3.595406774  12.75887808
## 642   -0.57290717 -10.30396627 -23.59884946  -3.595406774  12.75887808
## 643   -0.57290717 -10.30396627 -23.59884946  -3.595406774  12.75887808
## 644   -0.57290717 -10.30396627 -23.59884946  -3.595406774  12.75887808
## 645   -0.57290717 -10.30396627 -23.59884946  -3.595406774  12.75887808
## 646   -0.57290717 -10.30396627 -23.59884946  -3.595406774  12.75887808
## 647   -0.57290717 -10.30396627 -23.59884946  -3.595406774  12.75887808
## 648   -0.57290717 -10.30396627 -23.59884946  -3.595406774  12.75887808
## 649    2.12205158  -0.43799723  -9.07737729 -28.484940461 -10.15557137
## 650    2.12205158  -0.43799723  -9.07737729 -28.484940461 -10.15557137
## 651    2.12205158  -0.43799723  -9.07737729 -28.484940461 -10.15557137
## 652    2.12205158  -0.43799723  -9.07737729 -28.484940461 -10.15557137
## 653    2.12205158  -0.43799723  -9.07737729 -28.484940461 -10.15557137
## 654    2.12205158  -0.43799723  -9.07737729 -28.484940461 -10.15557137
## 655    2.12205158  -0.43799723  -9.07737729 -28.484940461 -10.15557137
## 656    2.12205158  -0.43799723  -9.07737729 -28.484940461 -10.15557137
## 657    0.57473922  -1.84609438  19.21983714   0.543492610 -30.74215315
## 658    0.57473922  -1.84609438  19.21983714   0.543492610 -30.74215315
## 659    0.57473922  -1.84609438  19.21983714   0.543492610 -30.74215315
## 660    0.57473922  -1.84609438  19.21983714   0.543492610 -30.74215315
## 661    0.57473922  -1.84609438  19.21983714   0.543492610 -30.74215315
## 662    0.57473922  -1.84609438  19.21983714   0.543492610 -30.74215315
## 663    0.57473922  -1.84609438  19.21983714   0.543492610 -30.74215315
## 664    0.57473922  -1.84609438  19.21983714   0.543492610 -30.74215315
## 665   -0.10433305   8.69799736  28.66880997  -1.378964228 -18.49206474
## 666   -0.10433305   8.69799736  28.66880997  -1.378964228 -18.49206474
## 667   -0.10433305   8.69799736  28.66880997  -1.378964228 -18.49206474
## 668   -0.10433305   8.69799736  28.66880997  -1.378964228 -18.49206474
## 669   -0.10433305   8.69799736  28.66880997  -1.378964228 -18.49206474
## 670   -0.10433305   8.69799736  28.66880997  -1.378964228 -18.49206474
## 671   -0.10433305   8.69799736  28.66880997  -1.378964228 -18.49206474
## 672   -0.10433305   8.69799736  28.66880997  -1.378964228 -18.49206474
## 673   -3.56284029  -4.25132188  -8.39755583   5.146111613  -4.62506958
## 674   -3.56284029  -4.25132188  -8.39755583   5.146111613  -4.62506958
## 675   -3.56284029  -4.25132188  -8.39755583   5.146111613  -4.62506958
## 676   -3.56284029  -4.25132188  -8.39755583   5.146111613  -4.62506958
## 677   -3.56284029  -4.25132188  -8.39755583   5.146111613  -4.62506958
## 678   -3.56284029  -4.25132188  -8.39755583   5.146111613  -4.62506958
## 679   -3.56284029  -4.25132188  -8.39755583   5.146111613  -4.62506958
## 680   -3.56284029  -4.25132188  -8.39755583   5.146111613  -4.62506958
## 681   -4.57014340 -18.26528348  18.34772321   0.098403547   2.09622969
## 682   -4.57014340 -18.26528348  18.34772321   0.098403547   2.09622969
## 683   -4.57014340 -18.26528348  18.34772321   0.098403547   2.09622969
## 684   -4.57014340 -18.26528348  18.34772321   0.098403547   2.09622969
## 685   -4.57014340 -18.26528348  18.34772321   0.098403547   2.09622969
## 686   -4.57014340 -18.26528348  18.34772321   0.098403547   2.09622969
## 687   -4.57014340 -18.26528348  18.34772321   0.098403547   2.09622969
## 688   -4.57014340 -18.26528348  18.34772321   0.098403547   2.09622969
## 689    7.39043719  -3.21636954 -14.67710233  -8.618889205  -1.58820490
## 690    7.39043719  -3.21636954 -14.67710233  -8.618889205  -1.58820490
## 691    7.39043719  -3.21636954 -14.67710233  -8.618889205  -1.58820490
## 692    7.39043719  -3.21636954 -14.67710233  -8.618889205  -1.58820490
## 693    7.39043719  -3.21636954 -14.67710233  -8.618889205  -1.58820490
## 694    7.39043719  -3.21636954 -14.67710233  -8.618889205  -1.58820490
## 695    7.39043719  -3.21636954 -14.67710233  -8.618889205  -1.58820490
## 696    7.39043719  -3.21636954 -14.67710233  -8.618889205  -1.58820490
## 697    3.10990156 -11.33437641  15.21827640  13.898955857   6.57202590
## 698    3.10990156 -11.33437641  15.21827640  13.898955857   6.57202590
## 699    3.10990156 -11.33437641  15.21827640  13.898955857   6.57202590
## 700    3.10990156 -11.33437641  15.21827640  13.898955857   6.57202590
## 701    3.10990156 -11.33437641  15.21827640  13.898955857   6.57202590
## 702    3.10990156 -11.33437641  15.21827640  13.898955857   6.57202590
## 703    3.10990156 -11.33437641  15.21827640  13.898955857   6.57202590
## 704    3.10990156 -11.33437641  15.21827640  13.898955857   6.57202590
## 705   29.61972243  -4.71632574  -1.49233382  -5.296773360  -2.95465281
## 706   29.61972243  -4.71632574  -1.49233382  -5.296773360  -2.95465281
## 707   29.61972243  -4.71632574  -1.49233382  -5.296773360  -2.95465281
## 708   29.61972243  -4.71632574  -1.49233382  -5.296773360  -2.95465281
## 709   29.61972243  -4.71632574  -1.49233382  -5.296773360  -2.95465281
## 710   29.61972243  -4.71632574  -1.49233382  -5.296773360  -2.95465281
## 711   29.61972243  -4.71632574  -1.49233382  -5.296773360  -2.95465281
## 712   29.61972243  -4.71632574  -1.49233382  -5.296773360  -2.95465281
## 713   -3.38329741   0.45656899  -8.36421371 -10.873694627   2.21266819
## 714   -3.38329741   0.45656899  -8.36421371 -10.873694627   2.21266819
## 715   -3.38329741   0.45656899  -8.36421371 -10.873694627   2.21266819
## 716   -3.38329741   0.45656899  -8.36421371 -10.873694627   2.21266819
## 717   -3.38329741   0.45656899  -8.36421371 -10.873694627   2.21266819
## 718   -3.38329741   0.45656899  -8.36421371 -10.873694627   2.21266819
## 719   -3.38329741   0.45656899  -8.36421371 -10.873694627   2.21266819
## 720   -3.38329741   0.45656899  -8.36421371 -10.873694627   2.21266819
## 721    5.26752742  -4.55718337 -10.15803990  13.622172044   2.54998252
## 722    5.26752742  -4.55718337 -10.15803990  13.622172044   2.54998252
## 723    5.26752742  -4.55718337 -10.15803990  13.622172044   2.54998252
## 724    5.26752742  -4.55718337 -10.15803990  13.622172044   2.54998252
## 725    5.26752742  -4.55718337 -10.15803990  13.622172044   2.54998252
## 726    5.26752742  -4.55718337 -10.15803990  13.622172044   2.54998252
## 727    5.26752742  -4.55718337 -10.15803990  13.622172044   2.54998252
## 728    5.26752742  -4.55718337 -10.15803990  13.622172044   2.54998252
## 729   -0.69609616 -31.40943322 -24.50665119   1.889767022   0.71898834
## 730   -0.69609616 -31.40943322 -24.50665119   1.889767022   0.71898834
## 731   -0.69609616 -31.40943322 -24.50665119   1.889767022   0.71898834
## 732   -0.69609616 -31.40943322 -24.50665119   1.889767022   0.71898834
## 733   -0.69609616 -31.40943322 -24.50665119   1.889767022   0.71898834
## 734   -0.69609616 -31.40943322 -24.50665119   1.889767022   0.71898834
## 735   -0.69609616 -31.40943322 -24.50665119   1.889767022   0.71898834
## 736   -0.69609616 -31.40943322 -24.50665119   1.889767022   0.71898834
## 737   -0.53741862  -3.97569690  -7.10993446 -11.115767105   2.03420576
## 738   -0.53741862  -3.97569690  -7.10993446 -11.115767105   2.03420576
## 739   -0.53741862  -3.97569690  -7.10993446 -11.115767105   2.03420576
## 740   -0.53741862  -3.97569690  -7.10993446 -11.115767105   2.03420576
## 741   -0.53741862  -3.97569690  -7.10993446 -11.115767105   2.03420576
## 742   -0.53741862  -3.97569690  -7.10993446 -11.115767105   2.03420576
## 743   -0.53741862  -3.97569690  -7.10993446 -11.115767105   2.03420576
## 744   -0.53741862  -3.97569690  -7.10993446 -11.115767105   2.03420576
## 745    1.79026928  -6.46009742  -6.44048923 -14.390238469   4.98088310
## 746    1.79026928  -6.46009742  -6.44048923 -14.390238469   4.98088310
## 747    1.79026928  -6.46009742  -6.44048923 -14.390238469   4.98088310
## 748    1.79026928  -6.46009742  -6.44048923 -14.390238469   4.98088310
## 749    1.79026928  -6.46009742  -6.44048923 -14.390238469   4.98088310
## 750    1.79026928  -6.46009742  -6.44048923 -14.390238469   4.98088310
## 751    1.79026928  -6.46009742  -6.44048923 -14.390238469   4.98088310
## 752    1.79026928  -6.46009742  -6.44048923 -14.390238469   4.98088310
## 753   -3.07589894  -3.93215655   3.06775319  15.330833860  -3.04907896
## 754   -3.07589894  -3.93215655   3.06775319  15.330833860  -3.04907896
## 755   -3.07589894  -3.93215655   3.06775319  15.330833860  -3.04907896
## 756   -3.07589894  -3.93215655   3.06775319  15.330833860  -3.04907896
## 757   -3.07589894  -3.93215655   3.06775319  15.330833860  -3.04907896
## 758   -3.07589894  -3.93215655   3.06775319  15.330833860  -3.04907896
## 759   -3.07589894  -3.93215655   3.06775319  15.330833860  -3.04907896
## 760   -3.07589894  -3.93215655   3.06775319  15.330833860  -3.04907896
## 761    0.47533629   0.56941065 -12.88829037  14.743756189   1.42783164
## 762    0.47533629   0.56941065 -12.88829037  14.743756189   1.42783164
## 763    0.47533629   0.56941065 -12.88829037  14.743756189   1.42783164
## 764    0.47533629   0.56941065 -12.88829037  14.743756189   1.42783164
## 765    0.47533629   0.56941065 -12.88829037  14.743756189   1.42783164
## 766    0.47533629   0.56941065 -12.88829037  14.743756189   1.42783164
## 767    0.47533629   0.56941065 -12.88829037  14.743756189   1.42783164
## 768    0.47533629   0.56941065 -12.88829037  14.743756189   1.42783164
## 769    8.12337519   0.74883721  -8.91061214   2.445399916   2.75174292
## 770    8.12337519   0.74883721  -8.91061214   2.445399916   2.75174292
## 771    8.12337519   0.74883721  -8.91061214   2.445399916   2.75174292
## 772    8.12337519   0.74883721  -8.91061214   2.445399916   2.75174292
## 773    8.12337519   0.74883721  -8.91061214   2.445399916   2.75174292
## 774    8.12337519   0.74883721  -8.91061214   2.445399916   2.75174292
## 775    8.12337519   0.74883721  -8.91061214   2.445399916   2.75174292
## 776    8.12337519   0.74883721  -8.91061214   2.445399916   2.75174292
## 777    1.66257827 -12.32706646   2.48830925   6.156914761  21.03763743
## 778    1.66257827 -12.32706646   2.48830925   6.156914761  21.03763743
## 779    1.66257827 -12.32706646   2.48830925   6.156914761  21.03763743
## 780    1.66257827 -12.32706646   2.48830925   6.156914761  21.03763743
## 781    1.66257827 -12.32706646   2.48830925   6.156914761  21.03763743
## 782    1.66257827 -12.32706646   2.48830925   6.156914761  21.03763743
## 783    1.66257827 -12.32706646   2.48830925   6.156914761  21.03763743
## 784    1.66257827 -12.32706646   2.48830925   6.156914761  21.03763743
## 785   -0.54986909  32.67969652  37.04523462   0.354975466  -6.78099871
## 786   -0.54986909  32.67969652  37.04523462   0.354975466  -6.78099871
## 787   -0.54986909  32.67969652  37.04523462   0.354975466  -6.78099871
## 788   -0.54986909  32.67969652  37.04523462   0.354975466  -6.78099871
## 789   -0.54986909  32.67969652  37.04523462   0.354975466  -6.78099871
## 790   -0.54986909  32.67969652  37.04523462   0.354975466  -6.78099871
## 791   -0.54986909  32.67969652  37.04523462   0.354975466  -6.78099871
## 792   -0.54986909  32.67969652  37.04523462   0.354975466  -6.78099871
## 793    1.55196100  -2.33440422 -23.01789727   2.063332695 -20.66490276
## 794    1.55196100  -2.33440422 -23.01789727   2.063332695 -20.66490276
## 795    1.55196100  -2.33440422 -23.01789727   2.063332695 -20.66490276
## 796    1.55196100  -2.33440422 -23.01789727   2.063332695 -20.66490276
## 797    1.55196100  -2.33440422 -23.01789727   2.063332695 -20.66490276
## 798    1.55196100  -2.33440422 -23.01789727   2.063332695 -20.66490276
## 799    1.55196100  -2.33440422 -23.01789727   2.063332695 -20.66490276
## 800    1.55196100  -2.33440422 -23.01789727   2.063332695 -20.66490276
## 801    4.89835351  -4.76577809  -3.06498916  -8.175212235  -1.35816372
## 802    4.89835351  -4.76577809  -3.06498916  -8.175212235  -1.35816372
## 803    4.89835351  -4.76577809  -3.06498916  -8.175212235  -1.35816372
## 804    4.89835351  -4.76577809  -3.06498916  -8.175212235  -1.35816372
## 805    4.89835351  -4.76577809  -3.06498916  -8.175212235  -1.35816372
## 806    4.89835351  -4.76577809  -3.06498916  -8.175212235  -1.35816372
## 807    4.89835351  -4.76577809  -3.06498916  -8.175212235  -1.35816372
## 808    4.89835351  -4.76577809  -3.06498916  -8.175212235  -1.35816372
## 809   -5.01388730  -1.05597330   1.36412461 -26.049339658  -0.49978414
## 810   -5.01388730  -1.05597330   1.36412461 -26.049339658  -0.49978414
## 811   -5.01388730  -1.05597330   1.36412461 -26.049339658  -0.49978414
## 812   -5.01388730  -1.05597330   1.36412461 -26.049339658  -0.49978414
## 813   -5.01388730  -1.05597330   1.36412461 -26.049339658  -0.49978414
## 814   -5.01388730  -1.05597330   1.36412461 -26.049339658  -0.49978414
## 815   -5.01388730  -1.05597330   1.36412461 -26.049339658  -0.49978414
## 816   -5.01388730  -1.05597330   1.36412461 -26.049339658  -0.49978414
## 817  -51.00469958  -2.48565520  -2.96172726  -6.798566626   0.19059162
## 818  -51.00469958  -2.48565520  -2.96172726  -6.798566626   0.19059162
## 819  -51.00469958  -2.48565520  -2.96172726  -6.798566626   0.19059162
## 820  -51.00469958  -2.48565520  -2.96172726  -6.798566626   0.19059162
## 821  -51.00469958  -2.48565520  -2.96172726  -6.798566626   0.19059162
## 822  -51.00469958  -2.48565520  -2.96172726  -6.798566626   0.19059162
## 823  -51.00469958  -2.48565520  -2.96172726  -6.798566626   0.19059162
## 824  -51.00469958  -2.48565520  -2.96172726  -6.798566626   0.19059162
## 825    0.67901100  -2.52304770  11.60234492  -2.966182869   2.63205410
## 826    0.67901100  -2.52304770  11.60234492  -2.966182869   2.63205410
## 827    0.67901100  -2.52304770  11.60234492  -2.966182869   2.63205410
## 828    0.67901100  -2.52304770  11.60234492  -2.966182869   2.63205410
## 829    0.67901100  -2.52304770  11.60234492  -2.966182869   2.63205410
## 830    0.67901100  -2.52304770  11.60234492  -2.966182869   2.63205410
## 831    0.67901100  -2.52304770  11.60234492  -2.966182869   2.63205410
## 832    0.67901100  -2.52304770  11.60234492  -2.966182869   2.63205410
## 833    3.96146178   3.81092628 -15.25698950  -0.443889411   3.67071077
## 834    3.96146178   3.81092628 -15.25698950  -0.443889411   3.67071077
## 835    3.96146178   3.81092628 -15.25698950  -0.443889411   3.67071077
## 836    3.96146178   3.81092628 -15.25698950  -0.443889411   3.67071077
## 837    3.96146178   3.81092628 -15.25698950  -0.443889411   3.67071077
## 838    3.96146178   3.81092628 -15.25698950  -0.443889411   3.67071077
## 839    3.96146178   3.81092628 -15.25698950  -0.443889411   3.67071077
## 840    3.96146178   3.81092628 -15.25698950  -0.443889411   3.67071077
## 841   -0.93461338  -9.85296889  -9.53981821   8.137767889   1.92475898
## 842   -0.93461338  -9.85296889  -9.53981821   8.137767889   1.92475898
## 843   -0.93461338  -9.85296889  -9.53981821   8.137767889   1.92475898
## 844   -0.93461338  -9.85296889  -9.53981821   8.137767889   1.92475898
## 845   -0.93461338  -9.85296889  -9.53981821   8.137767889   1.92475898
## 846   -0.93461338  -9.85296889  -9.53981821   8.137767889   1.92475898
## 847   -0.93461338  -9.85296889  -9.53981821   8.137767889   1.92475898
## 848   -0.93461338  -9.85296889  -9.53981821   8.137767889   1.92475898
## 849    3.28762834  -3.20333828 -27.29305343  -2.846598197  13.07759504
## 850    3.28762834  -3.20333828 -27.29305343  -2.846598197  13.07759504
## 851    3.28762834  -3.20333828 -27.29305343  -2.846598197  13.07759504
## 852    3.28762834  -3.20333828 -27.29305343  -2.846598197  13.07759504
## 853    3.28762834  -3.20333828 -27.29305343  -2.846598197  13.07759504
## 854    3.28762834  -3.20333828 -27.29305343  -2.846598197  13.07759504
## 855    3.28762834  -3.20333828 -27.29305343  -2.846598197  13.07759504
## 856    3.28762834  -3.20333828 -27.29305343  -2.846598197  13.07759504
## 857   -0.31703921  -6.78112363 -27.68583609  -1.152078378 -13.45594415
## 858   -0.31703921  -6.78112363 -27.68583609  -1.152078378 -13.45594415
## 859   -0.31703921  -6.78112363 -27.68583609  -1.152078378 -13.45594415
## 860   -0.31703921  -6.78112363 -27.68583609  -1.152078378 -13.45594415
## 861   -0.31703921  -6.78112363 -27.68583609  -1.152078378 -13.45594415
## 862   -0.31703921  -6.78112363 -27.68583609  -1.152078378 -13.45594415
## 863   -0.31703921  -6.78112363 -27.68583609  -1.152078378 -13.45594415
## 864   -0.31703921  -6.78112363 -27.68583609  -1.152078378 -13.45594415
## 865   -0.59528940  18.75580889 -28.04401415  -1.913913016   0.25616644
## 866   -0.59528940  18.75580889 -28.04401415  -1.913913016   0.25616644
## 867   -0.59528940  18.75580889 -28.04401415  -1.913913016   0.25616644
## 868   -0.59528940  18.75580889 -28.04401415  -1.913913016   0.25616644
## 869   -0.59528940  18.75580889 -28.04401415  -1.913913016   0.25616644
## 870   -0.59528940  18.75580889 -28.04401415  -1.913913016   0.25616644
## 871   -0.59528940  18.75580889 -28.04401415  -1.913913016   0.25616644
## 872   -0.59528940  18.75580889 -28.04401415  -1.913913016   0.25616644
## 873    1.64722643  -7.31151634 -14.98776941  -0.579537404   7.32836828
## 874    1.64722643  -7.31151634 -14.98776941  -0.579537404   7.32836828
## 875    1.64722643  -7.31151634 -14.98776941  -0.579537404   7.32836828
## 876    1.64722643  -7.31151634 -14.98776941  -0.579537404   7.32836828
## 877    1.64722643  -7.31151634 -14.98776941  -0.579537404   7.32836828
## 878    1.64722643  -7.31151634 -14.98776941  -0.579537404   7.32836828
## 879    1.64722643  -7.31151634 -14.98776941  -0.579537404   7.32836828
## 880    1.64722643  -7.31151634 -14.98776941  -0.579537404   7.32836828
## 881   15.28011277  -0.83298569  -0.02593743  -3.066991513   3.48450127
## 882   15.28011277  -0.83298569  -0.02593743  -3.066991513   3.48450127
## 883   15.28011277  -0.83298569  -0.02593743  -3.066991513   3.48450127
## 884   15.28011277  -0.83298569  -0.02593743  -3.066991513   3.48450127
## 885   15.28011277  -0.83298569  -0.02593743  -3.066991513   3.48450127
## 886   15.28011277  -0.83298569  -0.02593743  -3.066991513   3.48450127
## 887   15.28011277  -0.83298569  -0.02593743  -3.066991513   3.48450127
## 888   15.28011277  -0.83298569  -0.02593743  -3.066991513   3.48450127
## 889   -1.39848049  -1.64974923 -17.15979721  -5.838278847 -10.76916406
## 890   -1.39848049  -1.64974923 -17.15979721  -5.838278847 -10.76916406
## 891   -1.39848049  -1.64974923 -17.15979721  -5.838278847 -10.76916406
## 892   -1.39848049  -1.64974923 -17.15979721  -5.838278847 -10.76916406
## 893   -1.39848049  -1.64974923 -17.15979721  -5.838278847 -10.76916406
## 894   -1.39848049  -1.64974923 -17.15979721  -5.838278847 -10.76916406
## 895   -1.39848049  -1.64974923 -17.15979721  -5.838278847 -10.76916406
## 896   -1.39848049  -1.64974923 -17.15979721  -5.838278847 -10.76916406
## 897   -0.55960584  84.78034969  12.69724724   4.849053481   1.49106920
## 898   -0.55960584  84.78034969  12.69724724   4.849053481   1.49106920
## 899   -0.55960584  84.78034969  12.69724724   4.849053481   1.49106920
## 900   -0.55960584  84.78034969  12.69724724   4.849053481   1.49106920
## 901   -0.55960584  84.78034969  12.69724724   4.849053481   1.49106920
## 902   -0.55960584  84.78034969  12.69724724   4.849053481   1.49106920
## 903   -0.55960584  84.78034969  12.69724724   4.849053481   1.49106920
## 904   -0.55960584  84.78034969  12.69724724   4.849053481   1.49106920
## 905    0.91196178  -7.53789866  -5.88516901 -32.536119610   4.61650834
## 906    0.91196178  -7.53789866  -5.88516901 -32.536119610   4.61650834
## 907    0.91196178  -7.53789866  -5.88516901 -32.536119610   4.61650834
## 908    0.91196178  -7.53789866  -5.88516901 -32.536119610   4.61650834
## 909    0.91196178  -7.53789866  -5.88516901 -32.536119610   4.61650834
## 910    0.91196178  -7.53789866  -5.88516901 -32.536119610   4.61650834
## 911    0.91196178  -7.53789866  -5.88516901 -32.536119610   4.61650834
## 912    0.91196178  -7.53789866  -5.88516901 -32.536119610   4.61650834
## 913    1.09658863 -22.05762129 106.81554224   0.380929644  -1.67211880
## 914    1.09658863 -22.05762129 106.81554224   0.380929644  -1.67211880
## 915    1.09658863 -22.05762129 106.81554224   0.380929644  -1.67211880
## 916    1.09658863 -22.05762129 106.81554224   0.380929644  -1.67211880
## 917    1.09658863 -22.05762129 106.81554224   0.380929644  -1.67211880
## 918  -11.00325192   1.74367068  -3.80883935  -3.482292664   2.31008007
## 919  -11.00325192   1.74367068  -3.80883935  -3.482292664   2.31008007
## 920  -11.00325192   1.74367068  -3.80883935  -3.482292664   2.31008007
## 921  -11.00325192   1.74367068  -3.80883935  -3.482292664   2.31008007
## 922  -11.00325192   1.74367068  -3.80883935  -3.482292664   2.31008007
## 923            NA           NA           NA            NA           NA
## 924            NA           NA           NA            NA           NA
## 925            NA           NA           NA            NA           NA
## 926            NA           NA           NA            NA           NA
## 927            NA           NA           NA            NA           NA
## 928            NA           NA           NA            NA           NA
## 929            NA           NA           NA            NA           NA
## 930            NA           NA           NA            NA           NA
## 931            NA           NA           NA            NA           NA
## 932            NA           NA           NA            NA           NA
## 933            NA           NA           NA            NA           NA
## 934            NA           NA           NA            NA           NA
## 935            NA           NA           NA            NA           NA
## 936            NA           NA           NA            NA           NA
## 937            NA           NA           NA            NA           NA
## 938   -2.52236855  -1.24615817  -9.67751600  -3.263831137  -1.36424338
## 939   -2.52236855  -1.24615817  -9.67751600  -3.263831137  -1.36424338
## 940   -2.52236855  -1.24615817  -9.67751600  -3.263831137  -1.36424338
## 941   -2.52236855  -1.24615817  -9.67751600  -3.263831137  -1.36424338
## 942   -2.52236855  -1.24615817  -9.67751600  -3.263831137  -1.36424338
## 943            NA           NA           NA            NA           NA
## 944            NA           NA           NA            NA           NA
## 945            NA           NA           NA            NA           NA
## 946            NA           NA           NA            NA           NA
## 947            NA           NA           NA            NA           NA
## 948            NA           NA           NA            NA           NA
## 949            NA           NA           NA            NA           NA
## 950            NA           NA           NA            NA           NA
## 951            NA           NA           NA            NA           NA
## 952            NA           NA           NA            NA           NA
## 953   -4.40157008  -1.69986129   0.55756872 -20.311679180   8.59160049
## 954   -4.40157008  -1.69986129   0.55756872 -20.311679180   8.59160049
## 955   -4.40157008  -1.69986129   0.55756872 -20.311679180   8.59160049
## 956   -4.40157008  -1.69986129   0.55756872 -20.311679180   8.59160049
## 957   -4.40157008  -1.69986129   0.55756872 -20.311679180   8.59160049
## 958    5.30817212   2.02029205  -7.91391677  -3.768091473   0.09389940
## 959    5.30817212   2.02029205  -7.91391677  -3.768091473   0.09389940
## 960    5.30817212   2.02029205  -7.91391677  -3.768091473   0.09389940
## 961    5.30817212   2.02029205  -7.91391677  -3.768091473   0.09389940
## 962    5.30817212   2.02029205  -7.91391677  -3.768091473   0.09389940
## 963            NA           NA           NA            NA           NA
## 964            NA           NA           NA            NA           NA
## 965            NA           NA           NA            NA           NA
## 966            NA           NA           NA            NA           NA
## 967            NA           NA           NA            NA           NA
## 968            NA           NA           NA            NA           NA
## 969            NA           NA           NA            NA           NA
## 970            NA           NA           NA            NA           NA
## 971            NA           NA           NA            NA           NA
## 972            NA           NA           NA            NA           NA
## 973   -3.46846604  10.55633117  28.10641573  -5.641999365  16.54172549
## 974   -3.46846604  10.55633117  28.10641573  -5.641999365  16.54172549
## 975   -3.46846604  10.55633117  28.10641573  -5.641999365  16.54172549
## 976   -3.46846604  10.55633117  28.10641573  -5.641999365  16.54172549
## 977   -3.46846604  10.55633117  28.10641573  -5.641999365  16.54172549
## 978    2.11196633   8.52346529  19.77501020  -8.754763776  17.09983113
## 979    2.11196633   8.52346529  19.77501020  -8.754763776  17.09983113
## 980    2.11196633   8.52346529  19.77501020  -8.754763776  17.09983113
## 981    2.11196633   8.52346529  19.77501020  -8.754763776  17.09983113
## 982    2.11196633   8.52346529  19.77501020  -8.754763776  17.09983113
## 983            NA           NA           NA            NA           NA
## 984            NA           NA           NA            NA           NA
## 985            NA           NA           NA            NA           NA
## 986            NA           NA           NA            NA           NA
## 987            NA           NA           NA            NA           NA
## 988            NA           NA           NA            NA           NA
## 989            NA           NA           NA            NA           NA
## 990            NA           NA           NA            NA           NA
## 991            NA           NA           NA            NA           NA
## 992            NA           NA           NA            NA           NA
## 993   -1.53076817  27.41232969  28.23231245   1.679353846   0.07856601
## 994   -1.53076817  27.41232969  28.23231245   1.679353846   0.07856601
## 995   -1.53076817  27.41232969  28.23231245   1.679353846   0.07856601
## 996   -1.53076817  27.41232969  28.23231245   1.679353846   0.07856601
## 997   -1.53076817  27.41232969  28.23231245   1.679353846   0.07856601
## 998            NA           NA           NA            NA           NA
## 999            NA           NA           NA            NA           NA
## 1000           NA           NA           NA            NA           NA
## 1001           NA           NA           NA            NA           NA
## 1002           NA           NA           NA            NA           NA
## 1003           NA           NA           NA            NA           NA
## 1004           NA           NA           NA            NA           NA
## 1005           NA           NA           NA            NA           NA
## 1006           NA           NA           NA            NA           NA
## 1007           NA           NA           NA            NA           NA
## 1008   0.74351486   5.98769258   4.58705813  -1.367055982  17.58753564
## 1009   0.74351486   5.98769258   4.58705813  -1.367055982  17.58753564
## 1010   0.74351486   5.98769258   4.58705813  -1.367055982  17.58753564
## 1011   0.74351486   5.98769258   4.58705813  -1.367055982  17.58753564
## 1012   0.74351486   5.98769258   4.58705813  -1.367055982  17.58753564
## 1013   0.33863553  22.64481462 -12.13308992   3.288419092   7.30646807
## 1014   0.33863553  22.64481462 -12.13308992   3.288419092   7.30646807
## 1015   0.33863553  22.64481462 -12.13308992   3.288419092   7.30646807
## 1016   0.33863553  22.64481462 -12.13308992   3.288419092   7.30646807
## 1017   0.33863553  22.64481462 -12.13308992   3.288419092   7.30646807
## 1018  -1.85742419  -7.76182794  22.85306855   2.052964941  -7.92428157
## 1019  -1.85742419  -7.76182794  22.85306855   2.052964941  -7.92428157
## 1020  -1.85742419  -7.76182794  22.85306855   2.052964941  -7.92428157
## 1021  -1.85742419  -7.76182794  22.85306855   2.052964941  -7.92428157
## 1022  -1.85742419  -7.76182794  22.85306855   2.052964941  -7.92428157
## 1023           NA           NA           NA            NA           NA
## 1024           NA           NA           NA            NA           NA
## 1025           NA           NA           NA            NA           NA
## 1026           NA           NA           NA            NA           NA
## 1027           NA           NA           NA            NA           NA
## 1028           NA           NA           NA            NA           NA
## 1029           NA           NA           NA            NA           NA
## 1030           NA           NA           NA            NA           NA
## 1031           NA           NA           NA            NA           NA
## 1032           NA           NA           NA            NA           NA
## 1033  -1.04666767  -0.37022941  -8.47506308 -40.951131879 -11.99293528
## 1034  -1.04666767  -0.37022941  -8.47506308 -40.951131879 -11.99293528
## 1035  -1.04666767  -0.37022941  -8.47506308 -40.951131879 -11.99293528
## 1036  -1.04666767  -0.37022941  -8.47506308 -40.951131879 -11.99293528
## 1037  -1.04666767  -0.37022941  -8.47506308 -40.951131879 -11.99293528
## 1038           NA           NA           NA            NA           NA
## 1039           NA           NA           NA            NA           NA
## 1040           NA           NA           NA            NA           NA
## 1041           NA           NA           NA            NA           NA
## 1042           NA           NA           NA            NA           NA
## 1043           NA           NA           NA            NA           NA
## 1044           NA           NA           NA            NA           NA
## 1045           NA           NA           NA            NA           NA
## 1046           NA           NA           NA            NA           NA
## 1047           NA           NA           NA            NA           NA
## 1048           NA           NA           NA            NA           NA
## 1049           NA           NA           NA            NA           NA
## 1050           NA           NA           NA            NA           NA
## 1051           NA           NA           NA            NA           NA
## 1052           NA           NA           NA            NA           NA
## 1053           NA           NA           NA            NA           NA
## 1054           NA           NA           NA            NA           NA
## 1055           NA           NA           NA            NA           NA
## 1056           NA           NA           NA            NA           NA
## 1057           NA           NA           NA            NA           NA
## 1058           NA           NA           NA            NA           NA
## 1059           NA           NA           NA            NA           NA
## 1060           NA           NA           NA            NA           NA
## 1061           NA           NA           NA            NA           NA
## 1062           NA           NA           NA            NA           NA
## 1063           NA           NA           NA            NA           NA
## 1064           NA           NA           NA            NA           NA
## 1065           NA           NA           NA            NA           NA
## 1066           NA           NA           NA            NA           NA
## 1067           NA           NA           NA            NA           NA
## 1068  -1.53472445   0.38270459  26.19122887   8.171684763  -4.97819603
## 1069  -1.53472445   0.38270459  26.19122887   8.171684763  -4.97819603
## 1070  -1.53472445   0.38270459  26.19122887   8.171684763  -4.97819603
## 1071  -1.53472445   0.38270459  26.19122887   8.171684763  -4.97819603
## 1072  -1.53472445   0.38270459  26.19122887   8.171684763  -4.97819603
## 1073   0.94961924  14.22916874  23.18154369  -7.510703111 -16.08949523
## 1074   0.94961924  14.22916874  23.18154369  -7.510703111 -16.08949523
## 1075   0.94961924  14.22916874  23.18154369  -7.510703111 -16.08949523
## 1076   0.94961924  14.22916874  23.18154369  -7.510703111 -16.08949523
## 1077   0.94961924  14.22916874  23.18154369  -7.510703111 -16.08949523
## 1078           NA           NA           NA            NA           NA
## 1079           NA           NA           NA            NA           NA
## 1080           NA           NA           NA            NA           NA
## 1081           NA           NA           NA            NA           NA
## 1082           NA           NA           NA            NA           NA
## 1083  -0.99259901   0.48315480  -9.68831120  15.351404556 -24.36155767
## 1084  -0.99259901   0.48315480  -9.68831120  15.351404556 -24.36155767
## 1085  -0.99259901   0.48315480  -9.68831120  15.351404556 -24.36155767
## 1086  -0.99259901   0.48315480  -9.68831120  15.351404556 -24.36155767
## 1087  -0.99259901   0.48315480  -9.68831120  15.351404556 -24.36155767
## 1088           NA           NA           NA            NA           NA
## 1089           NA           NA           NA            NA           NA
## 1090           NA           NA           NA            NA           NA
## 1091           NA           NA           NA            NA           NA
## 1092           NA           NA           NA            NA           NA
## 1093   0.76272693   1.13621847   5.82958274 -16.394031051   3.94195095
## 1094   0.76272693   1.13621847   5.82958274 -16.394031051   3.94195095
## 1095   0.76272693   1.13621847   5.82958274 -16.394031051   3.94195095
## 1096   0.76272693   1.13621847   5.82958274 -16.394031051   3.94195095
## 1097   0.76272693   1.13621847   5.82958274 -16.394031051   3.94195095
## 1098           NA           NA           NA            NA           NA
## 1099           NA           NA           NA            NA           NA
## 1100           NA           NA           NA            NA           NA
## 1101           NA           NA           NA            NA           NA
## 1102           NA           NA           NA            NA           NA
## 1103   1.80513810   2.25704423   6.30543478  -5.163750229   2.35937373
## 1104   1.80513810   2.25704423   6.30543478  -5.163750229   2.35937373
## 1105   1.80513810   2.25704423   6.30543478  -5.163750229   2.35937373
## 1106   1.80513810   2.25704423   6.30543478  -5.163750229   2.35937373
## 1107   1.80513810   2.25704423   6.30543478  -5.163750229   2.35937373
## 1108           NA           NA           NA            NA           NA
## 1109           NA           NA           NA            NA           NA
## 1110           NA           NA           NA            NA           NA
## 1111           NA           NA           NA            NA           NA
## 1112           NA           NA           NA            NA           NA
## 1113   3.17769973  -1.47132920  10.27258683   3.051160147   4.86844262
## 1114   3.17769973  -1.47132920  10.27258683   3.051160147   4.86844262
## 1115   3.17769973  -1.47132920  10.27258683   3.051160147   4.86844262
## 1116   3.17769973  -1.47132920  10.27258683   3.051160147   4.86844262
## 1117   3.17769973  -1.47132920  10.27258683   3.051160147   4.86844262
## 1118   0.06067826   5.46419091  20.72812479   7.571199541 -44.86455824
## 1119   0.06067826   5.46419091  20.72812479   7.571199541 -44.86455824
## 1120   0.06067826   5.46419091  20.72812479   7.571199541 -44.86455824
## 1121   0.06067826   5.46419091  20.72812479   7.571199541 -44.86455824
## 1122   0.06067826   5.46419091  20.72812479   7.571199541 -44.86455824
## 1123   1.15171934  10.32352568  -3.73973969  45.009060154  10.14105025
## 1124   1.15171934  10.32352568  -3.73973969  45.009060154  10.14105025
## 1125   1.15171934  10.32352568  -3.73973969  45.009060154  10.14105025
## 1126   1.15171934  10.32352568  -3.73973969  45.009060154  10.14105025
## 1127   1.15171934  10.32352568  -3.73973969  45.009060154  10.14105025
## 1128           NA           NA           NA            NA           NA
## 1129           NA           NA           NA            NA           NA
## 1130           NA           NA           NA            NA           NA
## 1131           NA           NA           NA            NA           NA
## 1132           NA           NA           NA            NA           NA
## 1133  -1.21513194   9.61966953  21.34054087   2.198621122 -13.31978958
## 1134  -1.21513194   9.61966953  21.34054087   2.198621122 -13.31978958
## 1135  -1.21513194   9.61966953  21.34054087   2.198621122 -13.31978958
## 1136  -1.21513194   9.61966953  21.34054087   2.198621122 -13.31978958
## 1137  -1.21513194   9.61966953  21.34054087   2.198621122 -13.31978958
## 1138           NA           NA           NA            NA           NA
## 1139           NA           NA           NA            NA           NA
## 1140           NA           NA           NA            NA           NA
## 1141           NA           NA           NA            NA           NA
## 1142           NA           NA           NA            NA           NA
## 1143  -0.11898415 -12.12820164  15.73400185   2.579515631   4.77782291
## 1144  -0.11898415 -12.12820164  15.73400185   2.579515631   4.77782291
## 1145  -0.11898415 -12.12820164  15.73400185   2.579515631   4.77782291
## 1146  -0.11898415 -12.12820164  15.73400185   2.579515631   4.77782291
## 1147  -0.11898415 -12.12820164  15.73400185   2.579515631   4.77782291
## 1148           NA           NA           NA            NA           NA
## 1149           NA           NA           NA            NA           NA
## 1150           NA           NA           NA            NA           NA
## 1151           NA           NA           NA            NA           NA
## 1152           NA           NA           NA            NA           NA
## 1153  -0.41250613  -1.23795847 -10.58664030 -36.186124016  -6.10024897
## 1154  -0.41250613  -1.23795847 -10.58664030 -36.186124016  -6.10024897
## 1155  -0.41250613  -1.23795847 -10.58664030 -36.186124016  -6.10024897
## 1156  -0.41250613  -1.23795847 -10.58664030 -36.186124016  -6.10024897
## 1157  -0.41250613  -1.23795847 -10.58664030 -36.186124016  -6.10024897
## 1158   2.11696558   3.07458923  -2.49205170  15.195654647   0.69929408
## 1159   2.11696558   3.07458923  -2.49205170  15.195654647   0.69929408
## 1160   2.11696558   3.07458923  -2.49205170  15.195654647   0.69929408
## 1161   2.11696558   3.07458923  -2.49205170  15.195654647   0.69929408
## 1162   2.11696558   3.07458923  -2.49205170  15.195654647   0.69929408
## 1163           NA           NA           NA            NA           NA
## 1164           NA           NA           NA            NA           NA
## 1165           NA           NA           NA            NA           NA
## 1166           NA           NA           NA            NA           NA
## 1167           NA           NA           NA            NA           NA
## 1168           NA           NA           NA            NA           NA
## 1169           NA           NA           NA            NA           NA
## 1170           NA           NA           NA            NA           NA
## 1171           NA           NA           NA            NA           NA
## 1172           NA           NA           NA            NA           NA
## 1173           NA           NA           NA            NA           NA
## 1174           NA           NA           NA            NA           NA
## 1175           NA           NA           NA            NA           NA
## 1176           NA           NA           NA            NA           NA
## 1177           NA           NA           NA            NA           NA
## 1178           NA           NA           NA            NA           NA
## 1179           NA           NA           NA            NA           NA
## 1180           NA           NA           NA            NA           NA
## 1181           NA           NA           NA            NA           NA
## 1182           NA           NA           NA            NA           NA
## 1183           NA           NA           NA            NA           NA
## 1184           NA           NA           NA            NA           NA
## 1185           NA           NA           NA            NA           NA
## 1186           NA           NA           NA            NA           NA
## 1187           NA           NA           NA            NA           NA
## 1188  -2.14336550   0.28635431  13.20801955 -43.267893276  -5.17419859
## 1189  -2.14336550   0.28635431  13.20801955 -43.267893276  -5.17419859
## 1190  -2.14336550   0.28635431  13.20801955 -43.267893276  -5.17419859
## 1191  -2.14336550   0.28635431  13.20801955 -43.267893276  -5.17419859
## 1192  -2.14336550   0.28635431  13.20801955 -43.267893276  -5.17419859
## 1193   1.14420095   7.05057407  26.67104275  14.919182814  24.92136089
## 1194   1.14420095   7.05057407  26.67104275  14.919182814  24.92136089
## 1195   1.14420095   7.05057407  26.67104275  14.919182814  24.92136089
## 1196   1.14420095   7.05057407  26.67104275  14.919182814  24.92136089
## 1197   1.14420095   7.05057407  26.67104275  14.919182814  24.92136089
## 1198   2.70013347   3.68949578  14.76429039   7.757382358   4.04537622
## 1199   2.70013347   3.68949578  14.76429039   7.757382358   4.04537622
## 1200   2.70013347   3.68949578  14.76429039   7.757382358   4.04537622
## 1201   2.70013347   3.68949578  14.76429039   7.757382358   4.04537622
## 1202   2.70013347   3.68949578  14.76429039   7.757382358   4.04537622
## 1203   3.50732683   2.32277628  -2.44021919 -21.853871369  15.17730291
## 1204   3.50732683   2.32277628  -2.44021919 -21.853871369  15.17730291
## 1205   3.50732683   2.32277628  -2.44021919 -21.853871369  15.17730291
## 1206   3.50732683   2.32277628  -2.44021919 -21.853871369  15.17730291
## 1207   3.50732683   2.32277628  -2.44021919 -21.853871369  15.17730291
## 1208           NA           NA           NA            NA           NA
## 1209           NA           NA           NA            NA           NA
## 1210           NA           NA           NA            NA           NA
## 1211           NA           NA           NA            NA           NA
## 1212           NA           NA           NA            NA           NA
## 1213  -1.06746295   3.99030709  17.84653057   3.744888740  15.02044220
## 1214  -1.06746295   3.99030709  17.84653057   3.744888740  15.02044220
## 1215  -1.06746295   3.99030709  17.84653057   3.744888740  15.02044220
## 1216  -1.06746295   3.99030709  17.84653057   3.744888740  15.02044220
## 1217  -1.06746295   3.99030709  17.84653057   3.744888740  15.02044220
## 1218  -2.38856237  -0.05753869  -6.58881496  67.730276498 -12.46844581
## 1219  -2.38856237  -0.05753869  -6.58881496  67.730276498 -12.46844581
## 1220  -2.38856237  -0.05753869  -6.58881496  67.730276498 -12.46844581
## 1221  -2.38856237  -0.05753869  -6.58881496  67.730276498 -12.46844581
## 1222  -2.38856237  -0.05753869  -6.58881496  67.730276498 -12.46844581
## 1223           NA           NA           NA            NA           NA
## 1224           NA           NA           NA            NA           NA
## 1225           NA           NA           NA            NA           NA
## 1226           NA           NA           NA            NA           NA
## 1227           NA           NA           NA            NA           NA
## 1228           NA           NA           NA            NA           NA
## 1229           NA           NA           NA            NA           NA
## 1230           NA           NA           NA            NA           NA
## 1231           NA           NA           NA            NA           NA
## 1232           NA           NA           NA            NA           NA
## 1233           NA           NA           NA            NA           NA
## 1234           NA           NA           NA            NA           NA
## 1235           NA           NA           NA            NA           NA
## 1236           NA           NA           NA            NA           NA
## 1237           NA           NA           NA            NA           NA
## 1238   1.20958450   6.68692309  19.57170780 -14.775700114  15.03058532
## 1239   1.20958450   6.68692309  19.57170780 -14.775700114  15.03058532
## 1240   1.20958450   6.68692309  19.57170780 -14.775700114  15.03058532
## 1241   1.20958450   6.68692309  19.57170780 -14.775700114  15.03058532
## 1242   1.20958450   6.68692309  19.57170780 -14.775700114  15.03058532
## 1243  -0.63947522  -9.02688875  24.51449402  -2.846148583 -21.54917537
## 1244  -0.63947522  -9.02688875  24.51449402  -2.846148583 -21.54917537
## 1245  -0.63947522  -9.02688875  24.51449402  -2.846148583 -21.54917537
## 1246  -0.63947522  -9.02688875  24.51449402  -2.846148583 -21.54917537
## 1247  -0.63947522  -9.02688875  24.51449402  -2.846148583 -21.54917537
## 1248           NA           NA           NA            NA           NA
## 1249           NA           NA           NA            NA           NA
## 1250           NA           NA           NA            NA           NA
## 1251           NA           NA           NA            NA           NA
## 1252           NA           NA           NA            NA           NA
## 1253           NA           NA           NA            NA           NA
## 1254           NA           NA           NA            NA           NA
## 1255           NA           NA           NA            NA           NA
## 1256           NA           NA           NA            NA           NA
## 1257           NA           NA           NA            NA           NA
## 1258           NA           NA           NA            NA           NA
## 1259           NA           NA           NA            NA           NA
## 1260           NA           NA           NA            NA           NA
## 1261           NA           NA           NA            NA           NA
## 1262           NA           NA           NA            NA           NA
## 1263  -1.73765004   4.55921388  17.08517331  22.771231822  -3.46186895
## 1264  -1.73765004   4.55921388  17.08517331  22.771231822  -3.46186895
## 1265  -1.73765004   4.55921388  17.08517331  22.771231822  -3.46186895
## 1266  -1.73765004   4.55921388  17.08517331  22.771231822  -3.46186895
## 1267  -1.73765004   4.55921388  17.08517331  22.771231822  -3.46186895
## 1268 -15.95150572  -1.35417608  -8.35576355  -0.516011969   0.20515501
## 1269 -15.95150572  -1.35417608  -8.35576355  -0.516011969   0.20515501
## 1270 -15.95150572  -1.35417608  -8.35576355  -0.516011969   0.20515501
## 1271 -15.95150572  -1.35417608  -8.35576355  -0.516011969   0.20515501
## 1272 -15.95150572  -1.35417608  -8.35576355  -0.516011969   0.20515501
## 1273   0.28521174   2.38843892  31.62262590   2.728385426   8.30468790
## 1274   0.28521174   2.38843892  31.62262590   2.728385426   8.30468790
## 1275   0.28521174   2.38843892  31.62262590   2.728385426   8.30468790
## 1276   0.28521174   2.38843892  31.62262590   2.728385426   8.30468790
## 1277   0.28521174   2.38843892  31.62262590   2.728385426   8.30468790
## 1278  -2.47543769   0.25780067 -14.39905887  -0.819814653  -1.89235907
## 1279  -2.47543769   0.25780067 -14.39905887  -0.819814653  -1.89235907
## 1280  -2.47543769   0.25780067 -14.39905887  -0.819814653  -1.89235907
## 1281  -2.47543769   0.25780067 -14.39905887  -0.819814653  -1.89235907
## 1282  -2.47543769   0.25780067 -14.39905887  -0.819814653  -1.89235907
## 1283   0.30506442   7.04982573  28.88705320  -6.813645638  10.74032896
## 1284   0.30506442   7.04982573  28.88705320  -6.813645638  10.74032896
## 1285   0.30506442   7.04982573  28.88705320  -6.813645638  10.74032896
## 1286   0.30506442   7.04982573  28.88705320  -6.813645638  10.74032896
## 1287   0.30506442   7.04982573  28.88705320  -6.813645638  10.74032896
## 1288           NA           NA           NA            NA           NA
## 1289           NA           NA           NA            NA           NA
## 1290           NA           NA           NA            NA           NA
## 1291           NA           NA           NA            NA           NA
## 1292           NA           NA           NA            NA           NA
## 1293           NA           NA           NA            NA           NA
## 1294           NA           NA           NA            NA           NA
## 1295           NA           NA           NA            NA           NA
## 1296           NA           NA           NA            NA           NA
## 1297           NA           NA           NA            NA           NA
## 1298   2.18027941  -3.23945494  -9.34571937  -8.592021357   2.64007536
## 1299   2.18027941  -3.23945494  -9.34571937  -8.592021357   2.64007536
## 1300   2.18027941  -3.23945494  -9.34571937  -8.592021357   2.64007536
## 1301   2.18027941  -3.23945494  -9.34571937  -8.592021357   2.64007536
## 1302   2.18027941  -3.23945494  -9.34571937  -8.592021357   2.64007536
## 1303           NA           NA           NA            NA           NA
## 1304           NA           NA           NA            NA           NA
## 1305           NA           NA           NA            NA           NA
## 1306           NA           NA           NA            NA           NA
## 1307           NA           NA           NA            NA           NA
## 1308           NA           NA           NA            NA           NA
## 1309           NA           NA           NA            NA           NA
## 1310           NA           NA           NA            NA           NA
## 1311           NA           NA           NA            NA           NA
## 1312           NA           NA           NA            NA           NA
## 1313  -0.67151147   3.07286690  13.36056708  -7.154295224  13.05942025
## 1314  -0.67151147   3.07286690  13.36056708  -7.154295224  13.05942025
## 1315  -0.67151147   3.07286690  13.36056708  -7.154295224  13.05942025
## 1316  -0.67151147   3.07286690  13.36056708  -7.154295224  13.05942025
## 1317  -0.67151147   3.07286690  13.36056708  -7.154295224  13.05942025
## 1318           NA           NA           NA            NA           NA
## 1319           NA           NA           NA            NA           NA
## 1320           NA           NA           NA            NA           NA
## 1321           NA           NA           NA            NA           NA
## 1322           NA           NA           NA            NA           NA
## 1323           NA           NA           NA            NA           NA
## 1324           NA           NA           NA            NA           NA
## 1325           NA           NA           NA            NA           NA
## 1326           NA           NA           NA            NA           NA
## 1327           NA           NA           NA            NA           NA
## 1328           NA           NA           NA            NA           NA
## 1329           NA           NA           NA            NA           NA
## 1330           NA           NA           NA            NA           NA
## 1331           NA           NA           NA            NA           NA
## 1332           NA           NA           NA            NA           NA
## 1333           NA           NA           NA            NA           NA
## 1334           NA           NA           NA            NA           NA
## 1335           NA           NA           NA            NA           NA
## 1336           NA           NA           NA            NA           NA
## 1337           NA           NA           NA            NA           NA
## 1338           NA           NA           NA            NA           NA
## 1339           NA           NA           NA            NA           NA
## 1340           NA           NA           NA            NA           NA
## 1341           NA           NA           NA            NA           NA
## 1342           NA           NA           NA            NA           NA
## 1343           NA           NA           NA            NA           NA
## 1344           NA           NA           NA            NA           NA
## 1345           NA           NA           NA            NA           NA
## 1346           NA           NA           NA            NA           NA
## 1347           NA           NA           NA            NA           NA
## 1348           NA           NA           NA            NA           NA
## 1349           NA           NA           NA            NA           NA
## 1350           NA           NA           NA            NA           NA
## 1351           NA           NA           NA            NA           NA
## 1352           NA           NA           NA            NA           NA
## 1353           NA           NA           NA            NA           NA
## 1354           NA           NA           NA            NA           NA
## 1355           NA           NA           NA            NA           NA
## 1356           NA           NA           NA            NA           NA
## 1357           NA           NA           NA            NA           NA
## 1358           NA           NA           NA            NA           NA
## 1359           NA           NA           NA            NA           NA
## 1360           NA           NA           NA            NA           NA
## 1361           NA           NA           NA            NA           NA
## 1362           NA           NA           NA            NA           NA
## 1363 -47.07943355  -0.77534029 -14.12655841  -1.573385125   0.32265384
## 1364 -47.07943355  -0.77534029 -14.12655841  -1.573385125   0.32265384
## 1365 -47.07943355  -0.77534029 -14.12655841  -1.573385125   0.32265384
## 1366 -47.07943355  -0.77534029 -14.12655841  -1.573385125   0.32265384
## 1367 -47.07943355  -0.77534029 -14.12655841  -1.573385125   0.32265384
## 1368           NA           NA           NA            NA           NA
## 1369           NA           NA           NA            NA           NA
## 1370           NA           NA           NA            NA           NA
## 1371           NA           NA           NA            NA           NA
## 1372           NA           NA           NA            NA           NA
## 1373           NA           NA           NA            NA           NA
## 1374           NA           NA           NA            NA           NA
## 1375           NA           NA           NA            NA           NA
## 1376           NA           NA           NA            NA           NA
## 1377           NA           NA           NA            NA           NA
## 1378   0.81915749  -0.96539018   1.83756886   0.553874279  -3.17254185
## 1379   0.81915749  -0.96539018   1.83756886   0.553874279  -3.17254185
## 1380   0.81915749  -0.96539018   1.83756886   0.553874279  -3.17254185
## 1381   0.81915749  -0.96539018   1.83756886   0.553874279  -3.17254185
## 1382   0.81915749  -0.96539018   1.83756886   0.553874279  -3.17254185
## 1383           NA           NA           NA            NA           NA
## 1384           NA           NA           NA            NA           NA
## 1385           NA           NA           NA            NA           NA
## 1386           NA           NA           NA            NA           NA
## 1387           NA           NA           NA            NA           NA
## 1388   2.65781257  -3.29401576  -5.61627516  -0.257447090   4.93427107
## 1389   2.65781257  -3.29401576  -5.61627516  -0.257447090   4.93427107
## 1390   2.65781257  -3.29401576  -5.61627516  -0.257447090   4.93427107
## 1391   2.65781257  -3.29401576  -5.61627516  -0.257447090   4.93427107
## 1392   2.65781257  -3.29401576  -5.61627516  -0.257447090   4.93427107
## 1393           NA           NA           NA            NA           NA
## 1394           NA           NA           NA            NA           NA
## 1395           NA           NA           NA            NA           NA
## 1396           NA           NA           NA            NA           NA
## 1397           NA           NA           NA            NA           NA
## 1398           NA           NA           NA            NA           NA
## 1399           NA           NA           NA            NA           NA
## 1400           NA           NA           NA            NA           NA
## 1401           NA           NA           NA            NA           NA
## 1402           NA           NA           NA            NA           NA
## 1403           NA           NA           NA            NA           NA
## 1404           NA           NA           NA            NA           NA
## 1405           NA           NA           NA            NA           NA
## 1406           NA           NA           NA            NA           NA
## 1407           NA           NA           NA            NA           NA
## 1408           NA           NA           NA            NA           NA
## 1409           NA           NA           NA            NA           NA
## 1410           NA           NA           NA            NA           NA
## 1411           NA           NA           NA            NA           NA
## 1412           NA           NA           NA            NA           NA
## 1413  -1.81918374   0.38696123  16.11795689   2.006611710 -16.03885501
## 1414  -1.81918374   0.38696123  16.11795689   2.006611710 -16.03885501
## 1415  -1.81918374   0.38696123  16.11795689   2.006611710 -16.03885501
## 1416  -1.81918374   0.38696123  16.11795689   2.006611710 -16.03885501
## 1417  -1.81918374   0.38696123  16.11795689   2.006611710 -16.03885501
## 1418  -3.22975674   0.18426967 -10.65865642   2.522829950  -0.37575571
## 1419  -3.22975674   0.18426967 -10.65865642   2.522829950  -0.37575571
## 1420  -3.22975674   0.18426967 -10.65865642   2.522829950  -0.37575571
## 1421  -3.22975674   0.18426967 -10.65865642   2.522829950  -0.37575571
## 1422  -3.22975674   0.18426967 -10.65865642   2.522829950  -0.37575571
## 1423           NA           NA           NA            NA           NA
## 1424           NA           NA           NA            NA           NA
## 1425           NA           NA           NA            NA           NA
## 1426           NA           NA           NA            NA           NA
## 1427           NA           NA           NA            NA           NA
## 1428  -1.86385274   1.11704064  -7.37674325   1.717885943   1.89831746
## 1429  -1.86385274   1.11704064  -7.37674325   1.717885943   1.89831746
## 1430  -1.86385274   1.11704064  -7.37674325   1.717885943   1.89831746
## 1431  -1.86385274   1.11704064  -7.37674325   1.717885943   1.89831746
## 1432  -1.86385274   1.11704064  -7.37674325   1.717885943   1.89831746
## 1433   2.98138369   2.45978074   9.35561567  -2.924749593 -11.82242797
## 1434   2.98138369   2.45978074   9.35561567  -2.924749593 -11.82242797
## 1435   2.98138369   2.45978074   9.35561567  -2.924749593 -11.82242797
## 1436   2.98138369   2.45978074   9.35561567  -2.924749593 -11.82242797
## 1437   2.98138369   2.45978074   9.35561567  -2.924749593 -11.82242797
## 1438           NA           NA           NA            NA           NA
## 1439           NA           NA           NA            NA           NA
## 1440           NA           NA           NA            NA           NA
## 1441           NA           NA           NA            NA           NA
## 1442           NA           NA           NA            NA           NA
## 1443  -0.40291719 -10.30686075   7.95038372   4.604960767  24.04170584
## 1444  -0.40291719 -10.30686075   7.95038372   4.604960767  24.04170584
## 1445  -0.40291719 -10.30686075   7.95038372   4.604960767  24.04170584
## 1446  -0.40291719 -10.30686075   7.95038372   4.604960767  24.04170584
## 1447  -0.40291719 -10.30686075   7.95038372   4.604960767  24.04170584
## 1448           NA           NA           NA            NA           NA
## 1449           NA           NA           NA            NA           NA
## 1450           NA           NA           NA            NA           NA
## 1451           NA           NA           NA            NA           NA
## 1452           NA           NA           NA            NA           NA
## 1453           NA           NA           NA            NA           NA
## 1454           NA           NA           NA            NA           NA
## 1455           NA           NA           NA            NA           NA
## 1456           NA           NA           NA            NA           NA
## 1457           NA           NA           NA            NA           NA
## 1458           NA           NA           NA            NA           NA
## 1459           NA           NA           NA            NA           NA
## 1460           NA           NA           NA            NA           NA
## 1461           NA           NA           NA            NA           NA
## 1462           NA           NA           NA            NA           NA
## 1463  -1.61341006   2.51435166   6.10384439  -0.103283706   7.58134681
## 1464  -1.61341006   2.51435166   6.10384439  -0.103283706   7.58134681
## 1465  -1.61341006   2.51435166   6.10384439  -0.103283706   7.58134681
## 1466  -1.61341006   2.51435166   6.10384439  -0.103283706   7.58134681
## 1467  -1.61341006   2.51435166   6.10384439  -0.103283706   7.58134681
## 1468           NA           NA           NA            NA           NA
## 1469           NA           NA           NA            NA           NA
## 1470           NA           NA           NA            NA           NA
## 1471           NA           NA           NA            NA           NA
## 1472           NA           NA           NA            NA           NA
## 1473           NA           NA           NA            NA           NA
## 1474           NA           NA           NA            NA           NA
## 1475           NA           NA           NA            NA           NA
## 1476           NA           NA           NA            NA           NA
## 1477           NA           NA           NA            NA           NA
## 1478           NA           NA           NA            NA           NA
## 1479           NA           NA           NA            NA           NA
## 1480           NA           NA           NA            NA           NA
## 1481           NA           NA           NA            NA           NA
## 1482           NA           NA           NA            NA           NA
## 1483           NA           NA           NA            NA           NA
## 1484           NA           NA           NA            NA           NA
## 1485           NA           NA           NA            NA           NA
## 1486           NA           NA           NA            NA           NA
## 1487           NA           NA           NA            NA           NA
## 1488  -0.58722866   1.17785131  -0.11276840  -0.718279786   0.55946724
## 1489  -0.58722866   1.17785131  -0.11276840  -0.718279786   0.55946724
## 1490  -0.58722866   1.17785131  -0.11276840  -0.718279786   0.55946724
## 1491  -0.58722866   1.17785131  -0.11276840  -0.718279786   0.55946724
## 1492  -0.58722866   1.17785131  -0.11276840  -0.718279786   0.55946724
## 1493  -5.36690392  -2.44096736  -0.74189769  13.973966589  -1.32263619
## 1494  -5.36690392  -2.44096736  -0.74189769  13.973966589  -1.32263619
## 1495  -5.36690392  -2.44096736  -0.74189769  13.973966589  -1.32263619
## 1496  -5.36690392  -2.44096736  -0.74189769  13.973966589  -1.32263619
## 1497  -5.36690392  -2.44096736  -0.74189769  13.973966589  -1.32263619
## 1498   0.13125493   0.92590547  -5.06868173   3.275564280   3.85631257
## 1499   0.13125493   0.92590547  -5.06868173   3.275564280   3.85631257
## 1500   0.13125493   0.92590547  -5.06868173   3.275564280   3.85631257
## 1501   0.13125493   0.92590547  -5.06868173   3.275564280   3.85631257
## 1502   0.13125493   0.92590547  -5.06868173   3.275564280   3.85631257
## 1503  -1.85206837  -0.17853294 -14.74425725  -1.265176774  -6.34711226
## 1504  -1.85206837  -0.17853294 -14.74425725  -1.265176774  -6.34711226
## 1505  -1.85206837  -0.17853294 -14.74425725  -1.265176774  -6.34711226
## 1506  -1.85206837  -0.17853294 -14.74425725  -1.265176774  -6.34711226
## 1507  -1.85206837  -0.17853294 -14.74425725  -1.265176774  -6.34711226
## 1508           NA           NA           NA            NA           NA
## 1509           NA           NA           NA            NA           NA
## 1510           NA           NA           NA            NA           NA
## 1511           NA           NA           NA            NA           NA
## 1512           NA           NA           NA            NA           NA
## 1513           NA           NA           NA            NA           NA
## 1514           NA           NA           NA            NA           NA
## 1515           NA           NA           NA            NA           NA
## 1516           NA           NA           NA            NA           NA
## 1517           NA           NA           NA            NA           NA
## 1518           NA           NA           NA            NA           NA
## 1519           NA           NA           NA            NA           NA
## 1520           NA           NA           NA            NA           NA
## 1521           NA           NA           NA            NA           NA
## 1522           NA           NA           NA            NA           NA
## 1523           NA           NA           NA            NA           NA
## 1524           NA           NA           NA            NA           NA
## 1525           NA           NA           NA            NA           NA
## 1526           NA           NA           NA            NA           NA
## 1527           NA           NA           NA            NA           NA
## 1528   0.21639563  -3.62441279 -12.77449907   4.730217596   1.89120082
## 1529   0.21639563  -3.62441279 -12.77449907   4.730217596   1.89120082
## 1530   0.21639563  -3.62441279 -12.77449907   4.730217596   1.89120082
## 1531   0.21639563  -3.62441279 -12.77449907   4.730217596   1.89120082
## 1532   0.21639563  -3.62441279 -12.77449907   4.730217596   1.89120082
## 1533           NA           NA           NA            NA           NA
## 1534           NA           NA           NA            NA           NA
## 1535           NA           NA           NA            NA           NA
## 1536           NA           NA           NA            NA           NA
## 1537           NA           NA           NA            NA           NA
## 1538           NA           NA           NA            NA           NA
##       PC104_score   PC35_score   PC85_score   PC41_score   PC33_score
## 1     -4.85360178   4.69620850 -45.45722806  -7.57925123   0.66463050
## 2     -4.85360178   4.69620850 -45.45722806  -7.57925123   0.66463050
## 3     -4.85360178   4.69620850 -45.45722806  -7.57925123   0.66463050
## 4     -4.85360178   4.69620850 -45.45722806  -7.57925123   0.66463050
## 5     -4.85360178   4.69620850 -45.45722806  -7.57925123   0.66463050
## 6     -4.85360178   4.69620850 -45.45722806  -7.57925123   0.66463050
## 7     -4.85360178   4.69620850 -45.45722806  -7.57925123   0.66463050
## 8     -4.85360178   4.69620850 -45.45722806  -7.57925123   0.66463050
## 9      8.48537204   0.57878011   1.57433187   2.16409333   1.85853300
## 10     8.48537204   0.57878011   1.57433187   2.16409333   1.85853300
## 11     8.48537204   0.57878011   1.57433187   2.16409333   1.85853300
## 12     8.48537204   0.57878011   1.57433187   2.16409333   1.85853300
## 13     8.48537204   0.57878011   1.57433187   2.16409333   1.85853300
## 14     8.48537204   0.57878011   1.57433187   2.16409333   1.85853300
## 15     8.48537204   0.57878011   1.57433187   2.16409333   1.85853300
## 16     8.48537204   0.57878011   1.57433187   2.16409333   1.85853300
## 17    -1.19360068 -43.81717267   0.34839713 -29.94574123  33.45918781
## 18    -1.19360068 -43.81717267   0.34839713 -29.94574123  33.45918781
## 19    -1.19360068 -43.81717267   0.34839713 -29.94574123  33.45918781
## 20    -1.19360068 -43.81717267   0.34839713 -29.94574123  33.45918781
## 21    -1.19360068 -43.81717267   0.34839713 -29.94574123  33.45918781
## 22    -1.19360068 -43.81717267   0.34839713 -29.94574123  33.45918781
## 23    -1.19360068 -43.81717267   0.34839713 -29.94574123  33.45918781
## 24    -1.19360068 -43.81717267   0.34839713 -29.94574123  33.45918781
## 25     1.58808904   7.56384586   0.59148543  -1.14565116  11.53743434
## 26     1.58808904   7.56384586   0.59148543  -1.14565116  11.53743434
## 27     1.58808904   7.56384586   0.59148543  -1.14565116  11.53743434
## 28     1.58808904   7.56384586   0.59148543  -1.14565116  11.53743434
## 29     1.58808904   7.56384586   0.59148543  -1.14565116  11.53743434
## 30     1.58808904   7.56384586   0.59148543  -1.14565116  11.53743434
## 31     1.58808904   7.56384586   0.59148543  -1.14565116  11.53743434
## 32     1.58808904   7.56384586   0.59148543  -1.14565116  11.53743434
## 33     4.61963826  -3.11815324  -5.60053189  -6.58011122   5.13484123
## 34     4.61963826  -3.11815324  -5.60053189  -6.58011122   5.13484123
## 35     4.61963826  -3.11815324  -5.60053189  -6.58011122   5.13484123
## 36     4.61963826  -3.11815324  -5.60053189  -6.58011122   5.13484123
## 37     4.61963826  -3.11815324  -5.60053189  -6.58011122   5.13484123
## 38     4.61963826  -3.11815324  -5.60053189  -6.58011122   5.13484123
## 39     4.61963826  -3.11815324  -5.60053189  -6.58011122   5.13484123
## 40     4.61963826  -3.11815324  -5.60053189  -6.58011122   5.13484123
## 41   -20.72630987  -1.09210060 -19.33907810  -2.08446719   3.38816427
## 42   -20.72630987  -1.09210060 -19.33907810  -2.08446719   3.38816427
## 43   -20.72630987  -1.09210060 -19.33907810  -2.08446719   3.38816427
## 44   -20.72630987  -1.09210060 -19.33907810  -2.08446719   3.38816427
## 45   -20.72630987  -1.09210060 -19.33907810  -2.08446719   3.38816427
## 46   -20.72630987  -1.09210060 -19.33907810  -2.08446719   3.38816427
## 47   -20.72630987  -1.09210060 -19.33907810  -2.08446719   3.38816427
## 48   -20.72630987  -1.09210060 -19.33907810  -2.08446719   3.38816427
## 49    -0.63516483  -2.34748168  -3.95267451  -3.82833449 -12.60878289
## 50    -0.63516483  -2.34748168  -3.95267451  -3.82833449 -12.60878289
## 51    -0.63516483  -2.34748168  -3.95267451  -3.82833449 -12.60878289
## 52    -0.63516483  -2.34748168  -3.95267451  -3.82833449 -12.60878289
## 53    -0.63516483  -2.34748168  -3.95267451  -3.82833449 -12.60878289
## 54    -0.63516483  -2.34748168  -3.95267451  -3.82833449 -12.60878289
## 55    -0.63516483  -2.34748168  -3.95267451  -3.82833449 -12.60878289
## 56    -0.63516483  -2.34748168  -3.95267451  -3.82833449 -12.60878289
## 57     0.72036284  15.48385748   8.11444404 -35.78834874   6.97304417
## 58     0.72036284  15.48385748   8.11444404 -35.78834874   6.97304417
## 59     0.72036284  15.48385748   8.11444404 -35.78834874   6.97304417
## 60     0.72036284  15.48385748   8.11444404 -35.78834874   6.97304417
## 61     0.72036284  15.48385748   8.11444404 -35.78834874   6.97304417
## 62     0.72036284  15.48385748   8.11444404 -35.78834874   6.97304417
## 63     0.72036284  15.48385748   8.11444404 -35.78834874   6.97304417
## 64     0.72036284  15.48385748   8.11444404 -35.78834874   6.97304417
## 65     3.37352630  16.06701658  -2.13010080  28.49457663   5.77648960
## 66     3.37352630  16.06701658  -2.13010080  28.49457663   5.77648960
## 67     3.37352630  16.06701658  -2.13010080  28.49457663   5.77648960
## 68     3.37352630  16.06701658  -2.13010080  28.49457663   5.77648960
## 69     3.37352630  16.06701658  -2.13010080  28.49457663   5.77648960
## 70     3.37352630  16.06701658  -2.13010080  28.49457663   5.77648960
## 71     3.37352630  16.06701658  -2.13010080  28.49457663   5.77648960
## 72     3.37352630  16.06701658  -2.13010080  28.49457663   5.77648960
## 73    -1.91032651   1.11391105  11.27926108 -11.54629552   0.34422035
## 74    -1.91032651   1.11391105  11.27926108 -11.54629552   0.34422035
## 75    -1.91032651   1.11391105  11.27926108 -11.54629552   0.34422035
## 76    -1.91032651   1.11391105  11.27926108 -11.54629552   0.34422035
## 77    -1.91032651   1.11391105  11.27926108 -11.54629552   0.34422035
## 78    -1.91032651   1.11391105  11.27926108 -11.54629552   0.34422035
## 79    -1.91032651   1.11391105  11.27926108 -11.54629552   0.34422035
## 80    -1.91032651   1.11391105  11.27926108 -11.54629552   0.34422035
## 81     5.28976387   5.91806279 -46.72969147   2.90169911   5.46499991
## 82     5.28976387   5.91806279 -46.72969147   2.90169911   5.46499991
## 83     5.28976387   5.91806279 -46.72969147   2.90169911   5.46499991
## 84     5.28976387   5.91806279 -46.72969147   2.90169911   5.46499991
## 85     5.28976387   5.91806279 -46.72969147   2.90169911   5.46499991
## 86     5.28976387   5.91806279 -46.72969147   2.90169911   5.46499991
## 87     5.28976387   5.91806279 -46.72969147   2.90169911   5.46499991
## 88     5.28976387   5.91806279 -46.72969147   2.90169911   5.46499991
## 89     0.62539009  -1.11491842   1.55497102  36.00189677  -5.89255520
## 90     0.62539009  -1.11491842   1.55497102  36.00189677  -5.89255520
## 91     0.62539009  -1.11491842   1.55497102  36.00189677  -5.89255520
## 92     0.62539009  -1.11491842   1.55497102  36.00189677  -5.89255520
## 93     0.62539009  -1.11491842   1.55497102  36.00189677  -5.89255520
## 94     0.62539009  -1.11491842   1.55497102  36.00189677  -5.89255520
## 95     0.62539009  -1.11491842   1.55497102  36.00189677  -5.89255520
## 96     0.62539009  -1.11491842   1.55497102  36.00189677  -5.89255520
## 97     0.64809708  -3.59136854   4.39406746  -3.22152529  -7.46233236
## 98     0.64809708  -3.59136854   4.39406746  -3.22152529  -7.46233236
## 99     0.64809708  -3.59136854   4.39406746  -3.22152529  -7.46233236
## 100    0.64809708  -3.59136854   4.39406746  -3.22152529  -7.46233236
## 101    0.64809708  -3.59136854   4.39406746  -3.22152529  -7.46233236
## 102    0.64809708  -3.59136854   4.39406746  -3.22152529  -7.46233236
## 103    0.64809708  -3.59136854   4.39406746  -3.22152529  -7.46233236
## 104    0.64809708  -3.59136854   4.39406746  -3.22152529  -7.46233236
## 105    2.79021396   0.61042895   1.93937416  -3.92815632  -5.47791234
## 106    2.79021396   0.61042895   1.93937416  -3.92815632  -5.47791234
## 107    2.79021396   0.61042895   1.93937416  -3.92815632  -5.47791234
## 108    2.79021396   0.61042895   1.93937416  -3.92815632  -5.47791234
## 109    2.79021396   0.61042895   1.93937416  -3.92815632  -5.47791234
## 110    2.79021396   0.61042895   1.93937416  -3.92815632  -5.47791234
## 111    2.79021396   0.61042895   1.93937416  -3.92815632  -5.47791234
## 112    2.79021396   0.61042895   1.93937416  -3.92815632  -5.47791234
## 113   -1.66606377  -9.45102617   0.86061561  -3.15364274  13.77090251
## 114   -1.66606377  -9.45102617   0.86061561  -3.15364274  13.77090251
## 115   -1.66606377  -9.45102617   0.86061561  -3.15364274  13.77090251
## 116   -1.66606377  -9.45102617   0.86061561  -3.15364274  13.77090251
## 117   -1.66606377  -9.45102617   0.86061561  -3.15364274  13.77090251
## 118   -1.66606377  -9.45102617   0.86061561  -3.15364274  13.77090251
## 119   -1.66606377  -9.45102617   0.86061561  -3.15364274  13.77090251
## 120   -1.66606377  -9.45102617   0.86061561  -3.15364274  13.77090251
## 121    1.95656473  -1.74375678  -6.06779986  10.87253634  12.98298086
## 122    1.95656473  -1.74375678  -6.06779986  10.87253634  12.98298086
## 123    1.95656473  -1.74375678  -6.06779986  10.87253634  12.98298086
## 124    1.95656473  -1.74375678  -6.06779986  10.87253634  12.98298086
## 125    1.95656473  -1.74375678  -6.06779986  10.87253634  12.98298086
## 126    1.95656473  -1.74375678  -6.06779986  10.87253634  12.98298086
## 127    1.95656473  -1.74375678  -6.06779986  10.87253634  12.98298086
## 128    1.95656473  -1.74375678  -6.06779986  10.87253634  12.98298086
## 129   -2.79949734  -8.56250938   4.26126746 -13.23501917  -0.84297778
## 130   -2.79949734  -8.56250938   4.26126746 -13.23501917  -0.84297778
## 131   -2.79949734  -8.56250938   4.26126746 -13.23501917  -0.84297778
## 132   -2.79949734  -8.56250938   4.26126746 -13.23501917  -0.84297778
## 133   -2.79949734  -8.56250938   4.26126746 -13.23501917  -0.84297778
## 134   -2.79949734  -8.56250938   4.26126746 -13.23501917  -0.84297778
## 135   -2.79949734  -8.56250938   4.26126746 -13.23501917  -0.84297778
## 136   -2.79949734  -8.56250938   4.26126746 -13.23501917  -0.84297778
## 137   -1.36706775   1.02821343  -0.11505458  -4.17307471   4.42444331
## 138   -1.36706775   1.02821343  -0.11505458  -4.17307471   4.42444331
## 139   -1.36706775   1.02821343  -0.11505458  -4.17307471   4.42444331
## 140   -1.36706775   1.02821343  -0.11505458  -4.17307471   4.42444331
## 141   -1.36706775   1.02821343  -0.11505458  -4.17307471   4.42444331
## 142   -1.36706775   1.02821343  -0.11505458  -4.17307471   4.42444331
## 143   -1.36706775   1.02821343  -0.11505458  -4.17307471   4.42444331
## 144   -1.36706775   1.02821343  -0.11505458  -4.17307471   4.42444331
## 145    4.43118600   8.61752606   1.34940603  -7.17286935   9.19635250
## 146    4.43118600   8.61752606   1.34940603  -7.17286935   9.19635250
## 147    4.43118600   8.61752606   1.34940603  -7.17286935   9.19635250
## 148    4.43118600   8.61752606   1.34940603  -7.17286935   9.19635250
## 149    4.43118600   8.61752606   1.34940603  -7.17286935   9.19635250
## 150    4.43118600   8.61752606   1.34940603  -7.17286935   9.19635250
## 151    4.43118600   8.61752606   1.34940603  -7.17286935   9.19635250
## 152    4.43118600   8.61752606   1.34940603  -7.17286935   9.19635250
## 153    0.02402179   0.43162580  -0.64584761  -2.32794156   0.22747002
## 154    0.02402179   0.43162580  -0.64584761  -2.32794156   0.22747002
## 155    0.02402179   0.43162580  -0.64584761  -2.32794156   0.22747002
## 156    0.02402179   0.43162580  -0.64584761  -2.32794156   0.22747002
## 157    0.02402179   0.43162580  -0.64584761  -2.32794156   0.22747002
## 158    0.02402179   0.43162580  -0.64584761  -2.32794156   0.22747002
## 159    0.02402179   0.43162580  -0.64584761  -2.32794156   0.22747002
## 160    0.02402179   0.43162580  -0.64584761  -2.32794156   0.22747002
## 161   -6.79140413   7.78564648  -4.28004657   0.12028836  -3.79453424
## 162   -6.79140413   7.78564648  -4.28004657   0.12028836  -3.79453424
## 163   -6.79140413   7.78564648  -4.28004657   0.12028836  -3.79453424
## 164   -6.79140413   7.78564648  -4.28004657   0.12028836  -3.79453424
## 165   -6.79140413   7.78564648  -4.28004657   0.12028836  -3.79453424
## 166   -6.79140413   7.78564648  -4.28004657   0.12028836  -3.79453424
## 167   -6.79140413   7.78564648  -4.28004657   0.12028836  -3.79453424
## 168   -6.79140413   7.78564648  -4.28004657   0.12028836  -3.79453424
## 169   -1.34370281   3.59569165   5.97739004   0.84949998   0.97434438
## 170   -1.34370281   3.59569165   5.97739004   0.84949998   0.97434438
## 171   -1.34370281   3.59569165   5.97739004   0.84949998   0.97434438
## 172   -1.34370281   3.59569165   5.97739004   0.84949998   0.97434438
## 173   -1.34370281   3.59569165   5.97739004   0.84949998   0.97434438
## 174   -1.34370281   3.59569165   5.97739004   0.84949998   0.97434438
## 175   -1.34370281   3.59569165   5.97739004   0.84949998   0.97434438
## 176   -1.34370281   3.59569165   5.97739004   0.84949998   0.97434438
## 177  -46.50884200   2.86321396  14.67624834   1.98214961  -0.80571267
## 178  -46.50884200   2.86321396  14.67624834   1.98214961  -0.80571267
## 179  -46.50884200   2.86321396  14.67624834   1.98214961  -0.80571267
## 180  -46.50884200   2.86321396  14.67624834   1.98214961  -0.80571267
## 181  -46.50884200   2.86321396  14.67624834   1.98214961  -0.80571267
## 182  -46.50884200   2.86321396  14.67624834   1.98214961  -0.80571267
## 183  -46.50884200   2.86321396  14.67624834   1.98214961  -0.80571267
## 184  -46.50884200   2.86321396  14.67624834   1.98214961  -0.80571267
## 185   -0.44106935  -0.50943796   0.86771388   2.14905434  -4.16807520
## 186   -0.44106935  -0.50943796   0.86771388   2.14905434  -4.16807520
## 187   -0.44106935  -0.50943796   0.86771388   2.14905434  -4.16807520
## 188   -0.44106935  -0.50943796   0.86771388   2.14905434  -4.16807520
## 189   -0.44106935  -0.50943796   0.86771388   2.14905434  -4.16807520
## 190   -0.44106935  -0.50943796   0.86771388   2.14905434  -4.16807520
## 191   -0.44106935  -0.50943796   0.86771388   2.14905434  -4.16807520
## 192   -0.44106935  -0.50943796   0.86771388   2.14905434  -4.16807520
## 193   -0.66508294   6.02590467   7.56220209 -15.59172297  -1.42067403
## 194   -0.66508294   6.02590467   7.56220209 -15.59172297  -1.42067403
## 195   -0.66508294   6.02590467   7.56220209 -15.59172297  -1.42067403
## 196   -0.66508294   6.02590467   7.56220209 -15.59172297  -1.42067403
## 197   -0.66508294   6.02590467   7.56220209 -15.59172297  -1.42067403
## 198   -0.66508294   6.02590467   7.56220209 -15.59172297  -1.42067403
## 199   -0.66508294   6.02590467   7.56220209 -15.59172297  -1.42067403
## 200   -0.66508294   6.02590467   7.56220209 -15.59172297  -1.42067403
## 201   -2.19154190  -6.93042748   1.90952548   0.09037259   3.07237503
## 202   -2.19154190  -6.93042748   1.90952548   0.09037259   3.07237503
## 203   -2.19154190  -6.93042748   1.90952548   0.09037259   3.07237503
## 204   -2.19154190  -6.93042748   1.90952548   0.09037259   3.07237503
## 205   -2.19154190  -6.93042748   1.90952548   0.09037259   3.07237503
## 206   -2.19154190  -6.93042748   1.90952548   0.09037259   3.07237503
## 207   -2.19154190  -6.93042748   1.90952548   0.09037259   3.07237503
## 208   -2.19154190  -6.93042748   1.90952548   0.09037259   3.07237503
## 209   -0.70634747   9.13210770   5.04265085   0.73402747 -11.12618964
## 210   -0.70634747   9.13210770   5.04265085   0.73402747 -11.12618964
## 211   -0.70634747   9.13210770   5.04265085   0.73402747 -11.12618964
## 212   -0.70634747   9.13210770   5.04265085   0.73402747 -11.12618964
## 213   -0.70634747   9.13210770   5.04265085   0.73402747 -11.12618964
## 214   -0.70634747   9.13210770   5.04265085   0.73402747 -11.12618964
## 215   -0.70634747   9.13210770   5.04265085   0.73402747 -11.12618964
## 216   -0.70634747   9.13210770   5.04265085   0.73402747 -11.12618964
## 217    0.79481736  -0.87518314   0.57300563   3.72273554  -1.63824313
## 218    0.79481736  -0.87518314   0.57300563   3.72273554  -1.63824313
## 219    0.79481736  -0.87518314   0.57300563   3.72273554  -1.63824313
## 220    0.79481736  -0.87518314   0.57300563   3.72273554  -1.63824313
## 221    0.79481736  -0.87518314   0.57300563   3.72273554  -1.63824313
## 222    0.79481736  -0.87518314   0.57300563   3.72273554  -1.63824313
## 223    0.79481736  -0.87518314   0.57300563   3.72273554  -1.63824313
## 224    0.79481736  -0.87518314   0.57300563   3.72273554  -1.63824313
## 225   16.96928348  -2.80409121  -3.08203002  -2.60754865   4.98025992
## 226   16.96928348  -2.80409121  -3.08203002  -2.60754865   4.98025992
## 227   16.96928348  -2.80409121  -3.08203002  -2.60754865   4.98025992
## 228   16.96928348  -2.80409121  -3.08203002  -2.60754865   4.98025992
## 229   16.96928348  -2.80409121  -3.08203002  -2.60754865   4.98025992
## 230   16.96928348  -2.80409121  -3.08203002  -2.60754865   4.98025992
## 231   16.96928348  -2.80409121  -3.08203002  -2.60754865   4.98025992
## 232   16.96928348  -2.80409121  -3.08203002  -2.60754865   4.98025992
## 233   -0.88052669  -3.26413826  -0.39267459 -16.44674562 -73.47293643
## 234   -0.88052669  -3.26413826  -0.39267459 -16.44674562 -73.47293643
## 235   -0.88052669  -3.26413826  -0.39267459 -16.44674562 -73.47293643
## 236   -0.88052669  -3.26413826  -0.39267459 -16.44674562 -73.47293643
## 237   -0.88052669  -3.26413826  -0.39267459 -16.44674562 -73.47293643
## 238   -0.88052669  -3.26413826  -0.39267459 -16.44674562 -73.47293643
## 239   -0.88052669  -3.26413826  -0.39267459 -16.44674562 -73.47293643
## 240   -0.88052669  -3.26413826  -0.39267459 -16.44674562 -73.47293643
## 241    4.09811234  -5.89400321  -8.44929730  -7.74631449  -3.89113660
## 242    4.09811234  -5.89400321  -8.44929730  -7.74631449  -3.89113660
## 243    4.09811234  -5.89400321  -8.44929730  -7.74631449  -3.89113660
## 244    4.09811234  -5.89400321  -8.44929730  -7.74631449  -3.89113660
## 245    4.09811234  -5.89400321  -8.44929730  -7.74631449  -3.89113660
## 246    4.09811234  -5.89400321  -8.44929730  -7.74631449  -3.89113660
## 247    4.09811234  -5.89400321  -8.44929730  -7.74631449  -3.89113660
## 248    4.09811234  -5.89400321  -8.44929730  -7.74631449  -3.89113660
## 249   -8.01682005 -13.19952625  14.96397388  -4.94245296   2.27826615
## 250   -8.01682005 -13.19952625  14.96397388  -4.94245296   2.27826615
## 251   -8.01682005 -13.19952625  14.96397388  -4.94245296   2.27826615
## 252   -8.01682005 -13.19952625  14.96397388  -4.94245296   2.27826615
## 253   -8.01682005 -13.19952625  14.96397388  -4.94245296   2.27826615
## 254   -8.01682005 -13.19952625  14.96397388  -4.94245296   2.27826615
## 255   -8.01682005 -13.19952625  14.96397388  -4.94245296   2.27826615
## 256   -8.01682005 -13.19952625  14.96397388  -4.94245296   2.27826615
## 257  -10.63299481   5.11622721  16.80430306  -1.88746780   2.64870423
## 258  -10.63299481   5.11622721  16.80430306  -1.88746780   2.64870423
## 259  -10.63299481   5.11622721  16.80430306  -1.88746780   2.64870423
## 260  -10.63299481   5.11622721  16.80430306  -1.88746780   2.64870423
## 261  -10.63299481   5.11622721  16.80430306  -1.88746780   2.64870423
## 262  -10.63299481   5.11622721  16.80430306  -1.88746780   2.64870423
## 263  -10.63299481   5.11622721  16.80430306  -1.88746780   2.64870423
## 264  -10.63299481   5.11622721  16.80430306  -1.88746780   2.64870423
## 265    3.24224948   0.24726968  -3.49090009  -8.34846061  16.24766417
## 266    3.24224948   0.24726968  -3.49090009  -8.34846061  16.24766417
## 267    3.24224948   0.24726968  -3.49090009  -8.34846061  16.24766417
## 268    3.24224948   0.24726968  -3.49090009  -8.34846061  16.24766417
## 269    3.24224948   0.24726968  -3.49090009  -8.34846061  16.24766417
## 270    3.24224948   0.24726968  -3.49090009  -8.34846061  16.24766417
## 271    3.24224948   0.24726968  -3.49090009  -8.34846061  16.24766417
## 272    3.24224948   0.24726968  -3.49090009  -8.34846061  16.24766417
## 273    1.59261039  33.07987637  -0.33770895  -9.57637912   0.30971535
## 274    1.59261039  33.07987637  -0.33770895  -9.57637912   0.30971535
## 275    1.59261039  33.07987637  -0.33770895  -9.57637912   0.30971535
## 276    1.59261039  33.07987637  -0.33770895  -9.57637912   0.30971535
## 277    1.59261039  33.07987637  -0.33770895  -9.57637912   0.30971535
## 278    1.59261039  33.07987637  -0.33770895  -9.57637912   0.30971535
## 279    1.59261039  33.07987637  -0.33770895  -9.57637912   0.30971535
## 280    1.59261039  33.07987637  -0.33770895  -9.57637912   0.30971535
## 281    2.49546508 -25.87957077   4.14533052  51.62378370  -0.79216374
## 282    2.49546508 -25.87957077   4.14533052  51.62378370  -0.79216374
## 283    2.49546508 -25.87957077   4.14533052  51.62378370  -0.79216374
## 284    2.49546508 -25.87957077   4.14533052  51.62378370  -0.79216374
## 285    2.49546508 -25.87957077   4.14533052  51.62378370  -0.79216374
## 286    2.49546508 -25.87957077   4.14533052  51.62378370  -0.79216374
## 287    2.49546508 -25.87957077   4.14533052  51.62378370  -0.79216374
## 288    2.49546508 -25.87957077   4.14533052  51.62378370  -0.79216374
## 289    4.49540488  -0.58631955   4.90013923   0.99139882   3.44467706
## 290    4.49540488  -0.58631955   4.90013923   0.99139882   3.44467706
## 291    4.49540488  -0.58631955   4.90013923   0.99139882   3.44467706
## 292    4.49540488  -0.58631955   4.90013923   0.99139882   3.44467706
## 293    4.49540488  -0.58631955   4.90013923   0.99139882   3.44467706
## 294    4.49540488  -0.58631955   4.90013923   0.99139882   3.44467706
## 295    4.49540488  -0.58631955   4.90013923   0.99139882   3.44467706
## 296    4.49540488  -0.58631955   4.90013923   0.99139882   3.44467706
## 297   -2.80461491  -0.64273298  21.04092990  -4.24531824   0.03192374
## 298   -2.80461491  -0.64273298  21.04092990  -4.24531824   0.03192374
## 299   -2.80461491  -0.64273298  21.04092990  -4.24531824   0.03192374
## 300   -2.80461491  -0.64273298  21.04092990  -4.24531824   0.03192374
## 301   -2.80461491  -0.64273298  21.04092990  -4.24531824   0.03192374
## 302   -2.80461491  -0.64273298  21.04092990  -4.24531824   0.03192374
## 303   -2.80461491  -0.64273298  21.04092990  -4.24531824   0.03192374
## 304   -2.80461491  -0.64273298  21.04092990  -4.24531824   0.03192374
## 305   75.04919177  -2.36377949  -2.79330631  -4.64774028   0.71466030
## 306   75.04919177  -2.36377949  -2.79330631  -4.64774028   0.71466030
## 307   75.04919177  -2.36377949  -2.79330631  -4.64774028   0.71466030
## 308   75.04919177  -2.36377949  -2.79330631  -4.64774028   0.71466030
## 309   75.04919177  -2.36377949  -2.79330631  -4.64774028   0.71466030
## 310   75.04919177  -2.36377949  -2.79330631  -4.64774028   0.71466030
## 311   75.04919177  -2.36377949  -2.79330631  -4.64774028   0.71466030
## 312   75.04919177  -2.36377949  -2.79330631  -4.64774028   0.71466030
## 313    0.46347183  11.26214795  -6.36699140 -41.94389439  15.08244590
## 314    0.46347183  11.26214795  -6.36699140 -41.94389439  15.08244590
## 315    0.46347183  11.26214795  -6.36699140 -41.94389439  15.08244590
## 316    0.46347183  11.26214795  -6.36699140 -41.94389439  15.08244590
## 317    0.46347183  11.26214795  -6.36699140 -41.94389439  15.08244590
## 318    0.46347183  11.26214795  -6.36699140 -41.94389439  15.08244590
## 319    0.46347183  11.26214795  -6.36699140 -41.94389439  15.08244590
## 320    0.46347183  11.26214795  -6.36699140 -41.94389439  15.08244590
## 321   -2.20617485  11.73506730  -7.09013648  10.52173773   6.27196128
## 322   -2.20617485  11.73506730  -7.09013648  10.52173773   6.27196128
## 323   -2.20617485  11.73506730  -7.09013648  10.52173773   6.27196128
## 324   -2.20617485  11.73506730  -7.09013648  10.52173773   6.27196128
## 325   -2.20617485  11.73506730  -7.09013648  10.52173773   6.27196128
## 326   -2.20617485  11.73506730  -7.09013648  10.52173773   6.27196128
## 327   -2.20617485  11.73506730  -7.09013648  10.52173773   6.27196128
## 328   -2.20617485  11.73506730  -7.09013648  10.52173773   6.27196128
## 329    4.14208747   1.90828039  23.56867508   2.16111625   1.51018473
## 330    4.14208747   1.90828039  23.56867508   2.16111625   1.51018473
## 331    4.14208747   1.90828039  23.56867508   2.16111625   1.51018473
## 332    4.14208747   1.90828039  23.56867508   2.16111625   1.51018473
## 333    4.14208747   1.90828039  23.56867508   2.16111625   1.51018473
## 334    4.14208747   1.90828039  23.56867508   2.16111625   1.51018473
## 335    4.14208747   1.90828039  23.56867508   2.16111625   1.51018473
## 336    4.14208747   1.90828039  23.56867508   2.16111625   1.51018473
## 337    0.03233182  38.94386945   3.91010223  41.87578895  56.88922675
## 338    0.03233182  38.94386945   3.91010223  41.87578895  56.88922675
## 339    0.03233182  38.94386945   3.91010223  41.87578895  56.88922675
## 340    0.03233182  38.94386945   3.91010223  41.87578895  56.88922675
## 341    0.03233182  38.94386945   3.91010223  41.87578895  56.88922675
## 342    0.03233182  38.94386945   3.91010223  41.87578895  56.88922675
## 343    0.03233182  38.94386945   3.91010223  41.87578895  56.88922675
## 344    0.03233182  38.94386945   3.91010223  41.87578895  56.88922675
## 345   -2.66365394  35.41095375  -1.41534674  16.54716734 -19.24149044
## 346   -2.66365394  35.41095375  -1.41534674  16.54716734 -19.24149044
## 347   -2.66365394  35.41095375  -1.41534674  16.54716734 -19.24149044
## 348   -2.66365394  35.41095375  -1.41534674  16.54716734 -19.24149044
## 349   -2.66365394  35.41095375  -1.41534674  16.54716734 -19.24149044
## 350   -2.66365394  35.41095375  -1.41534674  16.54716734 -19.24149044
## 351   -2.66365394  35.41095375  -1.41534674  16.54716734 -19.24149044
## 352   -2.66365394  35.41095375  -1.41534674  16.54716734 -19.24149044
## 353    7.07339503   8.63522242  17.91825134   5.23925633   2.73350534
## 354    7.07339503   8.63522242  17.91825134   5.23925633   2.73350534
## 355    7.07339503   8.63522242  17.91825134   5.23925633   2.73350534
## 356    7.07339503   8.63522242  17.91825134   5.23925633   2.73350534
## 357    7.07339503   8.63522242  17.91825134   5.23925633   2.73350534
## 358    7.07339503   8.63522242  17.91825134   5.23925633   2.73350534
## 359    7.07339503   8.63522242  17.91825134   5.23925633   2.73350534
## 360    7.07339503   8.63522242  17.91825134   5.23925633   2.73350534
## 361    1.49612337 -18.05035374  -5.41767474   9.41137311   6.34668836
## 362    1.49612337 -18.05035374  -5.41767474   9.41137311   6.34668836
## 363    1.49612337 -18.05035374  -5.41767474   9.41137311   6.34668836
## 364    1.49612337 -18.05035374  -5.41767474   9.41137311   6.34668836
## 365    1.49612337 -18.05035374  -5.41767474   9.41137311   6.34668836
## 366    1.49612337 -18.05035374  -5.41767474   9.41137311   6.34668836
## 367    1.49612337 -18.05035374  -5.41767474   9.41137311   6.34668836
## 368    1.49612337 -18.05035374  -5.41767474   9.41137311   6.34668836
## 369    0.80770925  -5.98004631  36.35198139  -1.92069684   6.16133980
## 370    0.80770925  -5.98004631  36.35198139  -1.92069684   6.16133980
## 371    0.80770925  -5.98004631  36.35198139  -1.92069684   6.16133980
## 372    0.80770925  -5.98004631  36.35198139  -1.92069684   6.16133980
## 373    0.80770925  -5.98004631  36.35198139  -1.92069684   6.16133980
## 374    0.80770925  -5.98004631  36.35198139  -1.92069684   6.16133980
## 375    0.80770925  -5.98004631  36.35198139  -1.92069684   6.16133980
## 376    0.80770925  -5.98004631  36.35198139  -1.92069684   6.16133980
## 377   -1.77253976  -1.73001710   3.01973439  -4.52765904  -0.89207585
## 378   -1.77253976  -1.73001710   3.01973439  -4.52765904  -0.89207585
## 379   -1.77253976  -1.73001710   3.01973439  -4.52765904  -0.89207585
## 380   -1.77253976  -1.73001710   3.01973439  -4.52765904  -0.89207585
## 381   -1.77253976  -1.73001710   3.01973439  -4.52765904  -0.89207585
## 382   -1.77253976  -1.73001710   3.01973439  -4.52765904  -0.89207585
## 383   -1.77253976  -1.73001710   3.01973439  -4.52765904  -0.89207585
## 384   -1.77253976  -1.73001710   3.01973439  -4.52765904  -0.89207585
## 385   32.45982294  -0.79123505   9.34596271  -4.24333244  -7.21946962
## 386   32.45982294  -0.79123505   9.34596271  -4.24333244  -7.21946962
## 387   32.45982294  -0.79123505   9.34596271  -4.24333244  -7.21946962
## 388   32.45982294  -0.79123505   9.34596271  -4.24333244  -7.21946962
## 389   32.45982294  -0.79123505   9.34596271  -4.24333244  -7.21946962
## 390   32.45982294  -0.79123505   9.34596271  -4.24333244  -7.21946962
## 391   32.45982294  -0.79123505   9.34596271  -4.24333244  -7.21946962
## 392   32.45982294  -0.79123505   9.34596271  -4.24333244  -7.21946962
## 393  -14.05746643  -0.01664866   1.44881592  -2.60891325  -2.24222335
## 394  -14.05746643  -0.01664866   1.44881592  -2.60891325  -2.24222335
## 395  -14.05746643  -0.01664866   1.44881592  -2.60891325  -2.24222335
## 396  -14.05746643  -0.01664866   1.44881592  -2.60891325  -2.24222335
## 397  -14.05746643  -0.01664866   1.44881592  -2.60891325  -2.24222335
## 398  -14.05746643  -0.01664866   1.44881592  -2.60891325  -2.24222335
## 399  -14.05746643  -0.01664866   1.44881592  -2.60891325  -2.24222335
## 400  -14.05746643  -0.01664866   1.44881592  -2.60891325  -2.24222335
## 401    1.48440735   6.63812654   2.57931140   1.24531482  -2.01832462
## 402    1.48440735   6.63812654   2.57931140   1.24531482  -2.01832462
## 403    1.48440735   6.63812654   2.57931140   1.24531482  -2.01832462
## 404    1.48440735   6.63812654   2.57931140   1.24531482  -2.01832462
## 405    1.48440735   6.63812654   2.57931140   1.24531482  -2.01832462
## 406    1.48440735   6.63812654   2.57931140   1.24531482  -2.01832462
## 407    1.48440735   6.63812654   2.57931140   1.24531482  -2.01832462
## 408    1.48440735   6.63812654   2.57931140   1.24531482  -2.01832462
## 409    1.35286495   1.00930599  12.23163736   7.06828054   0.96533851
## 410    1.35286495   1.00930599  12.23163736   7.06828054   0.96533851
## 411    1.35286495   1.00930599  12.23163736   7.06828054   0.96533851
## 412    1.35286495   1.00930599  12.23163736   7.06828054   0.96533851
## 413    1.35286495   1.00930599  12.23163736   7.06828054   0.96533851
## 414    1.35286495   1.00930599  12.23163736   7.06828054   0.96533851
## 415    1.35286495   1.00930599  12.23163736   7.06828054   0.96533851
## 416    1.35286495   1.00930599  12.23163736   7.06828054   0.96533851
## 417   -8.47842455  -1.60783443   2.02883023   5.16652990  -3.58397906
## 418   -8.47842455  -1.60783443   2.02883023   5.16652990  -3.58397906
## 419   -8.47842455  -1.60783443   2.02883023   5.16652990  -3.58397906
## 420   -8.47842455  -1.60783443   2.02883023   5.16652990  -3.58397906
## 421   -8.47842455  -1.60783443   2.02883023   5.16652990  -3.58397906
## 422   -8.47842455  -1.60783443   2.02883023   5.16652990  -3.58397906
## 423   -8.47842455  -1.60783443   2.02883023   5.16652990  -3.58397906
## 424   -8.47842455  -1.60783443   2.02883023   5.16652990  -3.58397906
## 425    0.13990464  25.24894847   2.24546662  20.85565482 -13.36118117
## 426    0.13990464  25.24894847   2.24546662  20.85565482 -13.36118117
## 427    0.13990464  25.24894847   2.24546662  20.85565482 -13.36118117
## 428    0.13990464  25.24894847   2.24546662  20.85565482 -13.36118117
## 429    0.13990464  25.24894847   2.24546662  20.85565482 -13.36118117
## 430    0.13990464  25.24894847   2.24546662  20.85565482 -13.36118117
## 431    0.13990464  25.24894847   2.24546662  20.85565482 -13.36118117
## 432    0.13990464  25.24894847   2.24546662  20.85565482 -13.36118117
## 433    0.27453011  11.88789833 -27.25819196   3.76341903   5.69265885
## 434    0.27453011  11.88789833 -27.25819196   3.76341903   5.69265885
## 435    0.27453011  11.88789833 -27.25819196   3.76341903   5.69265885
## 436    0.27453011  11.88789833 -27.25819196   3.76341903   5.69265885
## 437    0.27453011  11.88789833 -27.25819196   3.76341903   5.69265885
## 438    0.27453011  11.88789833 -27.25819196   3.76341903   5.69265885
## 439    0.27453011  11.88789833 -27.25819196   3.76341903   5.69265885
## 440    0.27453011  11.88789833 -27.25819196   3.76341903   5.69265885
## 441    3.27186396  -2.62451516   0.23234176  -2.13730447  -1.16884875
## 442    3.27186396  -2.62451516   0.23234176  -2.13730447  -1.16884875
## 443    3.27186396  -2.62451516   0.23234176  -2.13730447  -1.16884875
## 444    3.27186396  -2.62451516   0.23234176  -2.13730447  -1.16884875
## 445    3.27186396  -2.62451516   0.23234176  -2.13730447  -1.16884875
## 446    3.27186396  -2.62451516   0.23234176  -2.13730447  -1.16884875
## 447    3.27186396  -2.62451516   0.23234176  -2.13730447  -1.16884875
## 448    3.27186396  -2.62451516   0.23234176  -2.13730447  -1.16884875
## 449   -5.39735448  -2.63646868  -2.85973459   5.83620990  -2.64744042
## 450   -5.39735448  -2.63646868  -2.85973459   5.83620990  -2.64744042
## 451   -5.39735448  -2.63646868  -2.85973459   5.83620990  -2.64744042
## 452   -5.39735448  -2.63646868  -2.85973459   5.83620990  -2.64744042
## 453   -5.39735448  -2.63646868  -2.85973459   5.83620990  -2.64744042
## 454   -5.39735448  -2.63646868  -2.85973459   5.83620990  -2.64744042
## 455   -5.39735448  -2.63646868  -2.85973459   5.83620990  -2.64744042
## 456   -5.39735448  -2.63646868  -2.85973459   5.83620990  -2.64744042
## 457    0.01186876   9.97113123   4.50625130  16.24323427   5.25561886
## 458    0.01186876   9.97113123   4.50625130  16.24323427   5.25561886
## 459    0.01186876   9.97113123   4.50625130  16.24323427   5.25561886
## 460    0.01186876   9.97113123   4.50625130  16.24323427   5.25561886
## 461    0.01186876   9.97113123   4.50625130  16.24323427   5.25561886
## 462    0.01186876   9.97113123   4.50625130  16.24323427   5.25561886
## 463    0.01186876   9.97113123   4.50625130  16.24323427   5.25561886
## 464    0.01186876   9.97113123   4.50625130  16.24323427   5.25561886
## 465   -2.26688157   3.53385595  -4.26621394   4.98838015  -2.48880390
## 466   -2.26688157   3.53385595  -4.26621394   4.98838015  -2.48880390
## 467   -2.26688157   3.53385595  -4.26621394   4.98838015  -2.48880390
## 468   -2.26688157   3.53385595  -4.26621394   4.98838015  -2.48880390
## 469   -2.26688157   3.53385595  -4.26621394   4.98838015  -2.48880390
## 470   -2.26688157   3.53385595  -4.26621394   4.98838015  -2.48880390
## 471   -2.26688157   3.53385595  -4.26621394   4.98838015  -2.48880390
## 472   -2.26688157   3.53385595  -4.26621394   4.98838015  -2.48880390
## 473   -1.10996237  -0.72885301  -1.29631004 -18.40119360 -10.33410770
## 474   -1.10996237  -0.72885301  -1.29631004 -18.40119360 -10.33410770
## 475   -1.10996237  -0.72885301  -1.29631004 -18.40119360 -10.33410770
## 476   -1.10996237  -0.72885301  -1.29631004 -18.40119360 -10.33410770
## 477   -1.10996237  -0.72885301  -1.29631004 -18.40119360 -10.33410770
## 478   -1.10996237  -0.72885301  -1.29631004 -18.40119360 -10.33410770
## 479   -1.10996237  -0.72885301  -1.29631004 -18.40119360 -10.33410770
## 480   -1.10996237  -0.72885301  -1.29631004 -18.40119360 -10.33410770
## 481    0.80776447  -9.04518884   0.33062743  -3.39343533   5.98197317
## 482    0.80776447  -9.04518884   0.33062743  -3.39343533   5.98197317
## 483    0.80776447  -9.04518884   0.33062743  -3.39343533   5.98197317
## 484    0.80776447  -9.04518884   0.33062743  -3.39343533   5.98197317
## 485    0.80776447  -9.04518884   0.33062743  -3.39343533   5.98197317
## 486    0.80776447  -9.04518884   0.33062743  -3.39343533   5.98197317
## 487    0.80776447  -9.04518884   0.33062743  -3.39343533   5.98197317
## 488    0.80776447  -9.04518884   0.33062743  -3.39343533   5.98197317
## 489    1.43529929   9.96845952   1.68438937   2.39669878  -5.63731436
## 490    1.43529929   9.96845952   1.68438937   2.39669878  -5.63731436
## 491    1.43529929   9.96845952   1.68438937   2.39669878  -5.63731436
## 492    1.43529929   9.96845952   1.68438937   2.39669878  -5.63731436
## 493    1.43529929   9.96845952   1.68438937   2.39669878  -5.63731436
## 494    1.43529929   9.96845952   1.68438937   2.39669878  -5.63731436
## 495    1.43529929   9.96845952   1.68438937   2.39669878  -5.63731436
## 496    1.43529929   9.96845952   1.68438937   2.39669878  -5.63731436
## 497    3.92646235   3.76281587  16.40853883  -0.86569713  -3.40457371
## 498    3.92646235   3.76281587  16.40853883  -0.86569713  -3.40457371
## 499    3.92646235   3.76281587  16.40853883  -0.86569713  -3.40457371
## 500    3.92646235   3.76281587  16.40853883  -0.86569713  -3.40457371
## 501    3.92646235   3.76281587  16.40853883  -0.86569713  -3.40457371
## 502    3.92646235   3.76281587  16.40853883  -0.86569713  -3.40457371
## 503    3.92646235   3.76281587  16.40853883  -0.86569713  -3.40457371
## 504    3.92646235   3.76281587  16.40853883  -0.86569713  -3.40457371
## 505    0.09051582  -2.56870866   1.10325136   3.44446551  -5.58721473
## 506    0.09051582  -2.56870866   1.10325136   3.44446551  -5.58721473
## 507    0.09051582  -2.56870866   1.10325136   3.44446551  -5.58721473
## 508    0.09051582  -2.56870866   1.10325136   3.44446551  -5.58721473
## 509    0.09051582  -2.56870866   1.10325136   3.44446551  -5.58721473
## 510    0.09051582  -2.56870866   1.10325136   3.44446551  -5.58721473
## 511    0.09051582  -2.56870866   1.10325136   3.44446551  -5.58721473
## 512    0.09051582  -2.56870866   1.10325136   3.44446551  -5.58721473
## 513    2.02395562 -38.60009467   2.82646632   8.10361630 -33.08248998
## 514    2.02395562 -38.60009467   2.82646632   8.10361630 -33.08248998
## 515    2.02395562 -38.60009467   2.82646632   8.10361630 -33.08248998
## 516    2.02395562 -38.60009467   2.82646632   8.10361630 -33.08248998
## 517    2.02395562 -38.60009467   2.82646632   8.10361630 -33.08248998
## 518    2.02395562 -38.60009467   2.82646632   8.10361630 -33.08248998
## 519    2.02395562 -38.60009467   2.82646632   8.10361630 -33.08248998
## 520    2.02395562 -38.60009467   2.82646632   8.10361630 -33.08248998
## 521   -2.45795280 -10.08524073  10.03840101  -7.78697638  -1.28261243
## 522   -2.45795280 -10.08524073  10.03840101  -7.78697638  -1.28261243
## 523   -2.45795280 -10.08524073  10.03840101  -7.78697638  -1.28261243
## 524   -2.45795280 -10.08524073  10.03840101  -7.78697638  -1.28261243
## 525   -2.45795280 -10.08524073  10.03840101  -7.78697638  -1.28261243
## 526   -2.45795280 -10.08524073  10.03840101  -7.78697638  -1.28261243
## 527   -2.45795280 -10.08524073  10.03840101  -7.78697638  -1.28261243
## 528   -2.45795280 -10.08524073  10.03840101  -7.78697638  -1.28261243
## 529    2.55947033 -11.46827596  -1.66366914 -24.97829493  38.04549264
## 530    2.55947033 -11.46827596  -1.66366914 -24.97829493  38.04549264
## 531    2.55947033 -11.46827596  -1.66366914 -24.97829493  38.04549264
## 532    2.55947033 -11.46827596  -1.66366914 -24.97829493  38.04549264
## 533    2.55947033 -11.46827596  -1.66366914 -24.97829493  38.04549264
## 534    2.55947033 -11.46827596  -1.66366914 -24.97829493  38.04549264
## 535    2.55947033 -11.46827596  -1.66366914 -24.97829493  38.04549264
## 536    2.55947033 -11.46827596  -1.66366914 -24.97829493  38.04549264
## 537   -3.83629301  -5.02653803   1.02926709   3.54404056   5.54469307
## 538   -3.83629301  -5.02653803   1.02926709   3.54404056   5.54469307
## 539   -3.83629301  -5.02653803   1.02926709   3.54404056   5.54469307
## 540   -3.83629301  -5.02653803   1.02926709   3.54404056   5.54469307
## 541   -3.83629301  -5.02653803   1.02926709   3.54404056   5.54469307
## 542   -3.83629301  -5.02653803   1.02926709   3.54404056   5.54469307
## 543   -3.83629301  -5.02653803   1.02926709   3.54404056   5.54469307
## 544   -3.83629301  -5.02653803   1.02926709   3.54404056   5.54469307
## 545  -45.63873424  -5.14407977  -1.94336302  -0.53192646   2.74555942
## 546  -45.63873424  -5.14407977  -1.94336302  -0.53192646   2.74555942
## 547  -45.63873424  -5.14407977  -1.94336302  -0.53192646   2.74555942
## 548  -45.63873424  -5.14407977  -1.94336302  -0.53192646   2.74555942
## 549  -45.63873424  -5.14407977  -1.94336302  -0.53192646   2.74555942
## 550  -45.63873424  -5.14407977  -1.94336302  -0.53192646   2.74555942
## 551  -45.63873424  -5.14407977  -1.94336302  -0.53192646   2.74555942
## 552  -45.63873424  -5.14407977  -1.94336302  -0.53192646   2.74555942
## 553    3.12958767  32.80556815  -1.80229804  20.81216325   0.13646566
## 554    3.12958767  32.80556815  -1.80229804  20.81216325   0.13646566
## 555    3.12958767  32.80556815  -1.80229804  20.81216325   0.13646566
## 556    3.12958767  32.80556815  -1.80229804  20.81216325   0.13646566
## 557    3.12958767  32.80556815  -1.80229804  20.81216325   0.13646566
## 558    3.12958767  32.80556815  -1.80229804  20.81216325   0.13646566
## 559    3.12958767  32.80556815  -1.80229804  20.81216325   0.13646566
## 560    3.12958767  32.80556815  -1.80229804  20.81216325   0.13646566
## 561   -3.61363559   0.87843445 -34.89578123  -3.09912445   5.50615798
## 562   -3.61363559   0.87843445 -34.89578123  -3.09912445   5.50615798
## 563   -3.61363559   0.87843445 -34.89578123  -3.09912445   5.50615798
## 564   -3.61363559   0.87843445 -34.89578123  -3.09912445   5.50615798
## 565   -3.61363559   0.87843445 -34.89578123  -3.09912445   5.50615798
## 566   -3.61363559   0.87843445 -34.89578123  -3.09912445   5.50615798
## 567   -3.61363559   0.87843445 -34.89578123  -3.09912445   5.50615798
## 568   -3.61363559   0.87843445 -34.89578123  -3.09912445   5.50615798
## 569   13.87465671  -1.91347044  -7.04383890  -2.80909302  -3.85415875
## 570   13.87465671  -1.91347044  -7.04383890  -2.80909302  -3.85415875
## 571   13.87465671  -1.91347044  -7.04383890  -2.80909302  -3.85415875
## 572   13.87465671  -1.91347044  -7.04383890  -2.80909302  -3.85415875
## 573   13.87465671  -1.91347044  -7.04383890  -2.80909302  -3.85415875
## 574   13.87465671  -1.91347044  -7.04383890  -2.80909302  -3.85415875
## 575   13.87465671  -1.91347044  -7.04383890  -2.80909302  -3.85415875
## 576   13.87465671  -1.91347044  -7.04383890  -2.80909302  -3.85415875
## 577    5.57915397   4.13888452   3.42331133  -7.72666373  -6.23068902
## 578    5.57915397   4.13888452   3.42331133  -7.72666373  -6.23068902
## 579    5.57915397   4.13888452   3.42331133  -7.72666373  -6.23068902
## 580    5.57915397   4.13888452   3.42331133  -7.72666373  -6.23068902
## 581    5.57915397   4.13888452   3.42331133  -7.72666373  -6.23068902
## 582    5.57915397   4.13888452   3.42331133  -7.72666373  -6.23068902
## 583    5.57915397   4.13888452   3.42331133  -7.72666373  -6.23068902
## 584    5.57915397   4.13888452   3.42331133  -7.72666373  -6.23068902
## 585    1.01864364  -2.62324446   2.15489857   2.42126074  -4.36550638
## 586    1.01864364  -2.62324446   2.15489857   2.42126074  -4.36550638
## 587    1.01864364  -2.62324446   2.15489857   2.42126074  -4.36550638
## 588    1.01864364  -2.62324446   2.15489857   2.42126074  -4.36550638
## 589    1.01864364  -2.62324446   2.15489857   2.42126074  -4.36550638
## 590    1.01864364  -2.62324446   2.15489857   2.42126074  -4.36550638
## 591    1.01864364  -2.62324446   2.15489857   2.42126074  -4.36550638
## 592    1.01864364  -2.62324446   2.15489857   2.42126074  -4.36550638
## 593   -0.77268272   2.33789138   1.85904788   0.44154668   2.32357395
## 594   -0.77268272   2.33789138   1.85904788   0.44154668   2.32357395
## 595   -0.77268272   2.33789138   1.85904788   0.44154668   2.32357395
## 596   -0.77268272   2.33789138   1.85904788   0.44154668   2.32357395
## 597   -0.77268272   2.33789138   1.85904788   0.44154668   2.32357395
## 598   -0.77268272   2.33789138   1.85904788   0.44154668   2.32357395
## 599   -0.77268272   2.33789138   1.85904788   0.44154668   2.32357395
## 600   -0.77268272   2.33789138   1.85904788   0.44154668   2.32357395
## 601   14.91959688  -1.21362161  16.73773809  -2.76622772  -6.95817296
## 602   14.91959688  -1.21362161  16.73773809  -2.76622772  -6.95817296
## 603   14.91959688  -1.21362161  16.73773809  -2.76622772  -6.95817296
## 604   14.91959688  -1.21362161  16.73773809  -2.76622772  -6.95817296
## 605   14.91959688  -1.21362161  16.73773809  -2.76622772  -6.95817296
## 606   14.91959688  -1.21362161  16.73773809  -2.76622772  -6.95817296
## 607   14.91959688  -1.21362161  16.73773809  -2.76622772  -6.95817296
## 608   14.91959688  -1.21362161  16.73773809  -2.76622772  -6.95817296
## 609  -27.36597600  -0.31592610  -4.51966345   2.20539186  -4.89379969
## 610  -27.36597600  -0.31592610  -4.51966345   2.20539186  -4.89379969
## 611  -27.36597600  -0.31592610  -4.51966345   2.20539186  -4.89379969
## 612  -27.36597600  -0.31592610  -4.51966345   2.20539186  -4.89379969
## 613  -27.36597600  -0.31592610  -4.51966345   2.20539186  -4.89379969
## 614  -27.36597600  -0.31592610  -4.51966345   2.20539186  -4.89379969
## 615  -27.36597600  -0.31592610  -4.51966345   2.20539186  -4.89379969
## 616  -27.36597600  -0.31592610  -4.51966345   2.20539186  -4.89379969
## 617    2.15335999  -1.44261545   2.14438316  -9.09699722  -1.46600839
## 618    2.15335999  -1.44261545   2.14438316  -9.09699722  -1.46600839
## 619    2.15335999  -1.44261545   2.14438316  -9.09699722  -1.46600839
## 620    2.15335999  -1.44261545   2.14438316  -9.09699722  -1.46600839
## 621    2.15335999  -1.44261545   2.14438316  -9.09699722  -1.46600839
## 622    2.15335999  -1.44261545   2.14438316  -9.09699722  -1.46600839
## 623    2.15335999  -1.44261545   2.14438316  -9.09699722  -1.46600839
## 624    2.15335999  -1.44261545   2.14438316  -9.09699722  -1.46600839
## 625    7.93139865 -18.83901784 -15.49023663  -6.85856252  -0.39913803
## 626    7.93139865 -18.83901784 -15.49023663  -6.85856252  -0.39913803
## 627    7.93139865 -18.83901784 -15.49023663  -6.85856252  -0.39913803
## 628    7.93139865 -18.83901784 -15.49023663  -6.85856252  -0.39913803
## 629    7.93139865 -18.83901784 -15.49023663  -6.85856252  -0.39913803
## 630    7.93139865 -18.83901784 -15.49023663  -6.85856252  -0.39913803
## 631    7.93139865 -18.83901784 -15.49023663  -6.85856252  -0.39913803
## 632    7.93139865 -18.83901784 -15.49023663  -6.85856252  -0.39913803
## 633    3.42006807  -2.88734373 -30.16582320  -3.42813781   1.10385701
## 634    3.42006807  -2.88734373 -30.16582320  -3.42813781   1.10385701
## 635    3.42006807  -2.88734373 -30.16582320  -3.42813781   1.10385701
## 636    3.42006807  -2.88734373 -30.16582320  -3.42813781   1.10385701
## 637    3.42006807  -2.88734373 -30.16582320  -3.42813781   1.10385701
## 638    3.42006807  -2.88734373 -30.16582320  -3.42813781   1.10385701
## 639    3.42006807  -2.88734373 -30.16582320  -3.42813781   1.10385701
## 640    3.42006807  -2.88734373 -30.16582320  -3.42813781   1.10385701
## 641   -2.65860719   8.05903595   6.07926911  -3.96193890  -0.49446361
## 642   -2.65860719   8.05903595   6.07926911  -3.96193890  -0.49446361
## 643   -2.65860719   8.05903595   6.07926911  -3.96193890  -0.49446361
## 644   -2.65860719   8.05903595   6.07926911  -3.96193890  -0.49446361
## 645   -2.65860719   8.05903595   6.07926911  -3.96193890  -0.49446361
## 646   -2.65860719   8.05903595   6.07926911  -3.96193890  -0.49446361
## 647   -2.65860719   8.05903595   6.07926911  -3.96193890  -0.49446361
## 648   -2.65860719   8.05903595   6.07926911  -3.96193890  -0.49446361
## 649   -3.52709659  -0.62421210   0.09610110  -3.38107906   0.56337651
## 650   -3.52709659  -0.62421210   0.09610110  -3.38107906   0.56337651
## 651   -3.52709659  -0.62421210   0.09610110  -3.38107906   0.56337651
## 652   -3.52709659  -0.62421210   0.09610110  -3.38107906   0.56337651
## 653   -3.52709659  -0.62421210   0.09610110  -3.38107906   0.56337651
## 654   -3.52709659  -0.62421210   0.09610110  -3.38107906   0.56337651
## 655   -3.52709659  -0.62421210   0.09610110  -3.38107906   0.56337651
## 656   -3.52709659  -0.62421210   0.09610110  -3.38107906   0.56337651
## 657    1.24511977 -47.72605380  -0.91552501   0.86484292 -22.85953240
## 658    1.24511977 -47.72605380  -0.91552501   0.86484292 -22.85953240
## 659    1.24511977 -47.72605380  -0.91552501   0.86484292 -22.85953240
## 660    1.24511977 -47.72605380  -0.91552501   0.86484292 -22.85953240
## 661    1.24511977 -47.72605380  -0.91552501   0.86484292 -22.85953240
## 662    1.24511977 -47.72605380  -0.91552501   0.86484292 -22.85953240
## 663    1.24511977 -47.72605380  -0.91552501   0.86484292 -22.85953240
## 664    1.24511977 -47.72605380  -0.91552501   0.86484292 -22.85953240
## 665   -2.10937988  -5.47747313  -3.89149441  -1.51892957  -1.86172271
## 666   -2.10937988  -5.47747313  -3.89149441  -1.51892957  -1.86172271
## 667   -2.10937988  -5.47747313  -3.89149441  -1.51892957  -1.86172271
## 668   -2.10937988  -5.47747313  -3.89149441  -1.51892957  -1.86172271
## 669   -2.10937988  -5.47747313  -3.89149441  -1.51892957  -1.86172271
## 670   -2.10937988  -5.47747313  -3.89149441  -1.51892957  -1.86172271
## 671   -2.10937988  -5.47747313  -3.89149441  -1.51892957  -1.86172271
## 672   -2.10937988  -5.47747313  -3.89149441  -1.51892957  -1.86172271
## 673   10.01932672   1.41348355  -3.84794571   1.25113195   0.47770641
## 674   10.01932672   1.41348355  -3.84794571   1.25113195   0.47770641
## 675   10.01932672   1.41348355  -3.84794571   1.25113195   0.47770641
## 676   10.01932672   1.41348355  -3.84794571   1.25113195   0.47770641
## 677   10.01932672   1.41348355  -3.84794571   1.25113195   0.47770641
## 678   10.01932672   1.41348355  -3.84794571   1.25113195   0.47770641
## 679   10.01932672   1.41348355  -3.84794571   1.25113195   0.47770641
## 680   10.01932672   1.41348355  -3.84794571   1.25113195   0.47770641
## 681    3.57195220 -36.90352777   0.69622391  26.76179418  35.62747686
## 682    3.57195220 -36.90352777   0.69622391  26.76179418  35.62747686
## 683    3.57195220 -36.90352777   0.69622391  26.76179418  35.62747686
## 684    3.57195220 -36.90352777   0.69622391  26.76179418  35.62747686
## 685    3.57195220 -36.90352777   0.69622391  26.76179418  35.62747686
## 686    3.57195220 -36.90352777   0.69622391  26.76179418  35.62747686
## 687    3.57195220 -36.90352777   0.69622391  26.76179418  35.62747686
## 688    3.57195220 -36.90352777   0.69622391  26.76179418  35.62747686
## 689  -15.64289252  -4.30815204   1.07342620  -4.67152249   1.06584543
## 690  -15.64289252  -4.30815204   1.07342620  -4.67152249   1.06584543
## 691  -15.64289252  -4.30815204   1.07342620  -4.67152249   1.06584543
## 692  -15.64289252  -4.30815204   1.07342620  -4.67152249   1.06584543
## 693  -15.64289252  -4.30815204   1.07342620  -4.67152249   1.06584543
## 694  -15.64289252  -4.30815204   1.07342620  -4.67152249   1.06584543
## 695  -15.64289252  -4.30815204   1.07342620  -4.67152249   1.06584543
## 696  -15.64289252  -4.30815204   1.07342620  -4.67152249   1.06584543
## 697    0.92354404  48.57033878   2.09924977 -42.38529581  -7.75270602
## 698    0.92354404  48.57033878   2.09924977 -42.38529581  -7.75270602
## 699    0.92354404  48.57033878   2.09924977 -42.38529581  -7.75270602
## 700    0.92354404  48.57033878   2.09924977 -42.38529581  -7.75270602
## 701    0.92354404  48.57033878   2.09924977 -42.38529581  -7.75270602
## 702    0.92354404  48.57033878   2.09924977 -42.38529581  -7.75270602
## 703    0.92354404  48.57033878   2.09924977 -42.38529581  -7.75270602
## 704    0.92354404  48.57033878   2.09924977 -42.38529581  -7.75270602
## 705   -2.49599499  -0.61200774   0.16476322   0.33824413   0.84337419
## 706   -2.49599499  -0.61200774   0.16476322   0.33824413   0.84337419
## 707   -2.49599499  -0.61200774   0.16476322   0.33824413   0.84337419
## 708   -2.49599499  -0.61200774   0.16476322   0.33824413   0.84337419
## 709   -2.49599499  -0.61200774   0.16476322   0.33824413   0.84337419
## 710   -2.49599499  -0.61200774   0.16476322   0.33824413   0.84337419
## 711   -2.49599499  -0.61200774   0.16476322   0.33824413   0.84337419
## 712   -2.49599499  -0.61200774   0.16476322   0.33824413   0.84337419
## 713   -2.81127045   0.86587822 -17.12146603   2.08406023  -4.75531462
## 714   -2.81127045   0.86587822 -17.12146603   2.08406023  -4.75531462
## 715   -2.81127045   0.86587822 -17.12146603   2.08406023  -4.75531462
## 716   -2.81127045   0.86587822 -17.12146603   2.08406023  -4.75531462
## 717   -2.81127045   0.86587822 -17.12146603   2.08406023  -4.75531462
## 718   -2.81127045   0.86587822 -17.12146603   2.08406023  -4.75531462
## 719   -2.81127045   0.86587822 -17.12146603   2.08406023  -4.75531462
## 720   -2.81127045   0.86587822 -17.12146603   2.08406023  -4.75531462
## 721    2.72182979  -7.96600290 -36.76434806  -1.13547123  -4.86238538
## 722    2.72182979  -7.96600290 -36.76434806  -1.13547123  -4.86238538
## 723    2.72182979  -7.96600290 -36.76434806  -1.13547123  -4.86238538
## 724    2.72182979  -7.96600290 -36.76434806  -1.13547123  -4.86238538
## 725    2.72182979  -7.96600290 -36.76434806  -1.13547123  -4.86238538
## 726    2.72182979  -7.96600290 -36.76434806  -1.13547123  -4.86238538
## 727    2.72182979  -7.96600290 -36.76434806  -1.13547123  -4.86238538
## 728    2.72182979  -7.96600290 -36.76434806  -1.13547123  -4.86238538
## 729   -2.13013151   5.51098217   0.70889749  -1.42411214 -11.69370521
## 730   -2.13013151   5.51098217   0.70889749  -1.42411214 -11.69370521
## 731   -2.13013151   5.51098217   0.70889749  -1.42411214 -11.69370521
## 732   -2.13013151   5.51098217   0.70889749  -1.42411214 -11.69370521
## 733   -2.13013151   5.51098217   0.70889749  -1.42411214 -11.69370521
## 734   -2.13013151   5.51098217   0.70889749  -1.42411214 -11.69370521
## 735   -2.13013151   5.51098217   0.70889749  -1.42411214 -11.69370521
## 736   -2.13013151   5.51098217   0.70889749  -1.42411214 -11.69370521
## 737   10.56020140  -4.09819153   8.85341743  -0.97987374   3.44079529
## 738   10.56020140  -4.09819153   8.85341743  -0.97987374   3.44079529
## 739   10.56020140  -4.09819153   8.85341743  -0.97987374   3.44079529
## 740   10.56020140  -4.09819153   8.85341743  -0.97987374   3.44079529
## 741   10.56020140  -4.09819153   8.85341743  -0.97987374   3.44079529
## 742   10.56020140  -4.09819153   8.85341743  -0.97987374   3.44079529
## 743   10.56020140  -4.09819153   8.85341743  -0.97987374   3.44079529
## 744   10.56020140  -4.09819153   8.85341743  -0.97987374   3.44079529
## 745   -6.44882379  -5.03341276 -32.21254416   1.74338505  -9.35976217
## 746   -6.44882379  -5.03341276 -32.21254416   1.74338505  -9.35976217
## 747   -6.44882379  -5.03341276 -32.21254416   1.74338505  -9.35976217
## 748   -6.44882379  -5.03341276 -32.21254416   1.74338505  -9.35976217
## 749   -6.44882379  -5.03341276 -32.21254416   1.74338505  -9.35976217
## 750   -6.44882379  -5.03341276 -32.21254416   1.74338505  -9.35976217
## 751   -6.44882379  -5.03341276 -32.21254416   1.74338505  -9.35976217
## 752   -6.44882379  -5.03341276 -32.21254416   1.74338505  -9.35976217
## 753   -0.18432946  -6.41806538   0.56959299  11.44159590  -4.58203496
## 754   -0.18432946  -6.41806538   0.56959299  11.44159590  -4.58203496
## 755   -0.18432946  -6.41806538   0.56959299  11.44159590  -4.58203496
## 756   -0.18432946  -6.41806538   0.56959299  11.44159590  -4.58203496
## 757   -0.18432946  -6.41806538   0.56959299  11.44159590  -4.58203496
## 758   -0.18432946  -6.41806538   0.56959299  11.44159590  -4.58203496
## 759   -0.18432946  -6.41806538   0.56959299  11.44159590  -4.58203496
## 760   -0.18432946  -6.41806538   0.56959299  11.44159590  -4.58203496
## 761    2.59726696 -12.11736085  -3.22617663   5.08092314  -4.42187568
## 762    2.59726696 -12.11736085  -3.22617663   5.08092314  -4.42187568
## 763    2.59726696 -12.11736085  -3.22617663   5.08092314  -4.42187568
## 764    2.59726696 -12.11736085  -3.22617663   5.08092314  -4.42187568
## 765    2.59726696 -12.11736085  -3.22617663   5.08092314  -4.42187568
## 766    2.59726696 -12.11736085  -3.22617663   5.08092314  -4.42187568
## 767    2.59726696 -12.11736085  -3.22617663   5.08092314  -4.42187568
## 768    2.59726696 -12.11736085  -3.22617663   5.08092314  -4.42187568
## 769  -10.18959740  -5.08004248   9.19242035  -0.55616263   2.20030276
## 770  -10.18959740  -5.08004248   9.19242035  -0.55616263   2.20030276
## 771  -10.18959740  -5.08004248   9.19242035  -0.55616263   2.20030276
## 772  -10.18959740  -5.08004248   9.19242035  -0.55616263   2.20030276
## 773  -10.18959740  -5.08004248   9.19242035  -0.55616263   2.20030276
## 774  -10.18959740  -5.08004248   9.19242035  -0.55616263   2.20030276
## 775  -10.18959740  -5.08004248   9.19242035  -0.55616263   2.20030276
## 776  -10.18959740  -5.08004248   9.19242035  -0.55616263   2.20030276
## 777    7.15260222   8.83431328   9.04932947  35.24682492  -4.87999478
## 778    7.15260222   8.83431328   9.04932947  35.24682492  -4.87999478
## 779    7.15260222   8.83431328   9.04932947  35.24682492  -4.87999478
## 780    7.15260222   8.83431328   9.04932947  35.24682492  -4.87999478
## 781    7.15260222   8.83431328   9.04932947  35.24682492  -4.87999478
## 782    7.15260222   8.83431328   9.04932947  35.24682492  -4.87999478
## 783    7.15260222   8.83431328   9.04932947  35.24682492  -4.87999478
## 784    7.15260222   8.83431328   9.04932947  35.24682492  -4.87999478
## 785   -0.67867407   0.05293847  -3.55334019  -5.45415954   0.19170273
## 786   -0.67867407   0.05293847  -3.55334019  -5.45415954   0.19170273
## 787   -0.67867407   0.05293847  -3.55334019  -5.45415954   0.19170273
## 788   -0.67867407   0.05293847  -3.55334019  -5.45415954   0.19170273
## 789   -0.67867407   0.05293847  -3.55334019  -5.45415954   0.19170273
## 790   -0.67867407   0.05293847  -3.55334019  -5.45415954   0.19170273
## 791   -0.67867407   0.05293847  -3.55334019  -5.45415954   0.19170273
## 792   -0.67867407   0.05293847  -3.55334019  -5.45415954   0.19170273
## 793    1.42344025   5.83758504   1.45232646 -18.41619177  -6.23367857
## 794    1.42344025   5.83758504   1.45232646 -18.41619177  -6.23367857
## 795    1.42344025   5.83758504   1.45232646 -18.41619177  -6.23367857
## 796    1.42344025   5.83758504   1.45232646 -18.41619177  -6.23367857
## 797    1.42344025   5.83758504   1.45232646 -18.41619177  -6.23367857
## 798    1.42344025   5.83758504   1.45232646 -18.41619177  -6.23367857
## 799    1.42344025   5.83758504   1.45232646 -18.41619177  -6.23367857
## 800    1.42344025   5.83758504   1.45232646 -18.41619177  -6.23367857
## 801    3.34740113  -7.00926825   3.42162321   0.53900146  -4.68502675
## 802    3.34740113  -7.00926825   3.42162321   0.53900146  -4.68502675
## 803    3.34740113  -7.00926825   3.42162321   0.53900146  -4.68502675
## 804    3.34740113  -7.00926825   3.42162321   0.53900146  -4.68502675
## 805    3.34740113  -7.00926825   3.42162321   0.53900146  -4.68502675
## 806    3.34740113  -7.00926825   3.42162321   0.53900146  -4.68502675
## 807    3.34740113  -7.00926825   3.42162321   0.53900146  -4.68502675
## 808    3.34740113  -7.00926825   3.42162321   0.53900146  -4.68502675
## 809   -0.23071397   9.38293499  15.39857510 -11.08313361  -1.62665572
## 810   -0.23071397   9.38293499  15.39857510 -11.08313361  -1.62665572
## 811   -0.23071397   9.38293499  15.39857510 -11.08313361  -1.62665572
## 812   -0.23071397   9.38293499  15.39857510 -11.08313361  -1.62665572
## 813   -0.23071397   9.38293499  15.39857510 -11.08313361  -1.62665572
## 814   -0.23071397   9.38293499  15.39857510 -11.08313361  -1.62665572
## 815   -0.23071397   9.38293499  15.39857510 -11.08313361  -1.62665572
## 816   -0.23071397   9.38293499  15.39857510 -11.08313361  -1.62665572
## 817    0.78601805   2.89726175  -7.13212966   2.18724677  -0.92087580
## 818    0.78601805   2.89726175  -7.13212966   2.18724677  -0.92087580
## 819    0.78601805   2.89726175  -7.13212966   2.18724677  -0.92087580
## 820    0.78601805   2.89726175  -7.13212966   2.18724677  -0.92087580
## 821    0.78601805   2.89726175  -7.13212966   2.18724677  -0.92087580
## 822    0.78601805   2.89726175  -7.13212966   2.18724677  -0.92087580
## 823    0.78601805   2.89726175  -7.13212966   2.18724677  -0.92087580
## 824    0.78601805   2.89726175  -7.13212966   2.18724677  -0.92087580
## 825    4.92351424  10.58467763   0.02532443  15.16252985 -47.60315513
## 826    4.92351424  10.58467763   0.02532443  15.16252985 -47.60315513
## 827    4.92351424  10.58467763   0.02532443  15.16252985 -47.60315513
## 828    4.92351424  10.58467763   0.02532443  15.16252985 -47.60315513
## 829    4.92351424  10.58467763   0.02532443  15.16252985 -47.60315513
## 830    4.92351424  10.58467763   0.02532443  15.16252985 -47.60315513
## 831    4.92351424  10.58467763   0.02532443  15.16252985 -47.60315513
## 832    4.92351424  10.58467763   0.02532443  15.16252985 -47.60315513
## 833   -9.01567854   0.50329137  10.51682650  -1.68936505  -1.57892906
## 834   -9.01567854   0.50329137  10.51682650  -1.68936505  -1.57892906
## 835   -9.01567854   0.50329137  10.51682650  -1.68936505  -1.57892906
## 836   -9.01567854   0.50329137  10.51682650  -1.68936505  -1.57892906
## 837   -9.01567854   0.50329137  10.51682650  -1.68936505  -1.57892906
## 838   -9.01567854   0.50329137  10.51682650  -1.68936505  -1.57892906
## 839   -9.01567854   0.50329137  10.51682650  -1.68936505  -1.57892906
## 840   -9.01567854   0.50329137  10.51682650  -1.68936505  -1.57892906
## 841    0.20448342  -4.74332956 -11.25986096  31.66156455  -3.43942429
## 842    0.20448342  -4.74332956 -11.25986096  31.66156455  -3.43942429
## 843    0.20448342  -4.74332956 -11.25986096  31.66156455  -3.43942429
## 844    0.20448342  -4.74332956 -11.25986096  31.66156455  -3.43942429
## 845    0.20448342  -4.74332956 -11.25986096  31.66156455  -3.43942429
## 846    0.20448342  -4.74332956 -11.25986096  31.66156455  -3.43942429
## 847    0.20448342  -4.74332956 -11.25986096  31.66156455  -3.43942429
## 848    0.20448342  -4.74332956 -11.25986096  31.66156455  -3.43942429
## 849    2.55275276  29.15445978   7.79297106  -4.75591554  23.12489805
## 850    2.55275276  29.15445978   7.79297106  -4.75591554  23.12489805
## 851    2.55275276  29.15445978   7.79297106  -4.75591554  23.12489805
## 852    2.55275276  29.15445978   7.79297106  -4.75591554  23.12489805
## 853    2.55275276  29.15445978   7.79297106  -4.75591554  23.12489805
## 854    2.55275276  29.15445978   7.79297106  -4.75591554  23.12489805
## 855    2.55275276  29.15445978   7.79297106  -4.75591554  23.12489805
## 856    2.55275276  29.15445978   7.79297106  -4.75591554  23.12489805
## 857    0.79348075 -24.18487539   4.32149682 -10.45975368  36.77575454
## 858    0.79348075 -24.18487539   4.32149682 -10.45975368  36.77575454
## 859    0.79348075 -24.18487539   4.32149682 -10.45975368  36.77575454
## 860    0.79348075 -24.18487539   4.32149682 -10.45975368  36.77575454
## 861    0.79348075 -24.18487539   4.32149682 -10.45975368  36.77575454
## 862    0.79348075 -24.18487539   4.32149682 -10.45975368  36.77575454
## 863    0.79348075 -24.18487539   4.32149682 -10.45975368  36.77575454
## 864    0.79348075 -24.18487539   4.32149682 -10.45975368  36.77575454
## 865   -1.55454903  -1.44089719   0.58384241   1.85107366  -0.65169924
## 866   -1.55454903  -1.44089719   0.58384241   1.85107366  -0.65169924
## 867   -1.55454903  -1.44089719   0.58384241   1.85107366  -0.65169924
## 868   -1.55454903  -1.44089719   0.58384241   1.85107366  -0.65169924
## 869   -1.55454903  -1.44089719   0.58384241   1.85107366  -0.65169924
## 870   -1.55454903  -1.44089719   0.58384241   1.85107366  -0.65169924
## 871   -1.55454903  -1.44089719   0.58384241   1.85107366  -0.65169924
## 872   -1.55454903  -1.44089719   0.58384241   1.85107366  -0.65169924
## 873    1.00546986  -3.93884741   3.61708621  -6.69831124  -5.03475688
## 874    1.00546986  -3.93884741   3.61708621  -6.69831124  -5.03475688
## 875    1.00546986  -3.93884741   3.61708621  -6.69831124  -5.03475688
## 876    1.00546986  -3.93884741   3.61708621  -6.69831124  -5.03475688
## 877    1.00546986  -3.93884741   3.61708621  -6.69831124  -5.03475688
## 878    1.00546986  -3.93884741   3.61708621  -6.69831124  -5.03475688
## 879    1.00546986  -3.93884741   3.61708621  -6.69831124  -5.03475688
## 880    1.00546986  -3.93884741   3.61708621  -6.69831124  -5.03475688
## 881  -16.26924553  -1.36306331  -3.54936957  -0.28471201   2.03077589
## 882  -16.26924553  -1.36306331  -3.54936957  -0.28471201   2.03077589
## 883  -16.26924553  -1.36306331  -3.54936957  -0.28471201   2.03077589
## 884  -16.26924553  -1.36306331  -3.54936957  -0.28471201   2.03077589
## 885  -16.26924553  -1.36306331  -3.54936957  -0.28471201   2.03077589
## 886  -16.26924553  -1.36306331  -3.54936957  -0.28471201   2.03077589
## 887  -16.26924553  -1.36306331  -3.54936957  -0.28471201   2.03077589
## 888  -16.26924553  -1.36306331  -3.54936957  -0.28471201   2.03077589
## 889    4.02188919  -1.98664866   5.54359442   3.33664125   4.20266477
## 890    4.02188919  -1.98664866   5.54359442   3.33664125   4.20266477
## 891    4.02188919  -1.98664866   5.54359442   3.33664125   4.20266477
## 892    4.02188919  -1.98664866   5.54359442   3.33664125   4.20266477
## 893    4.02188919  -1.98664866   5.54359442   3.33664125   4.20266477
## 894    4.02188919  -1.98664866   5.54359442   3.33664125   4.20266477
## 895    4.02188919  -1.98664866   5.54359442   3.33664125   4.20266477
## 896    4.02188919  -1.98664866   5.54359442   3.33664125   4.20266477
## 897   -0.10757240   1.56609426   0.80614915  -2.34215678   4.63026042
## 898   -0.10757240   1.56609426   0.80614915  -2.34215678   4.63026042
## 899   -0.10757240   1.56609426   0.80614915  -2.34215678   4.63026042
## 900   -0.10757240   1.56609426   0.80614915  -2.34215678   4.63026042
## 901   -0.10757240   1.56609426   0.80614915  -2.34215678   4.63026042
## 902   -0.10757240   1.56609426   0.80614915  -2.34215678   4.63026042
## 903   -0.10757240   1.56609426   0.80614915  -2.34215678   4.63026042
## 904   -0.10757240   1.56609426   0.80614915  -2.34215678   4.63026042
## 905   -3.19309923 -19.10708281  23.91222145   5.53117681  -8.32641135
## 906   -3.19309923 -19.10708281  23.91222145   5.53117681  -8.32641135
## 907   -3.19309923 -19.10708281  23.91222145   5.53117681  -8.32641135
## 908   -3.19309923 -19.10708281  23.91222145   5.53117681  -8.32641135
## 909   -3.19309923 -19.10708281  23.91222145   5.53117681  -8.32641135
## 910   -3.19309923 -19.10708281  23.91222145   5.53117681  -8.32641135
## 911   -3.19309923 -19.10708281  23.91222145   5.53117681  -8.32641135
## 912   -3.19309923 -19.10708281  23.91222145   5.53117681  -8.32641135
## 913   -0.43331585  -2.44904931   0.15393533  -3.48781816  -1.47197232
## 914   -0.43331585  -2.44904931   0.15393533  -3.48781816  -1.47197232
## 915   -0.43331585  -2.44904931   0.15393533  -3.48781816  -1.47197232
## 916   -0.43331585  -2.44904931   0.15393533  -3.48781816  -1.47197232
## 917   -0.43331585  -2.44904931   0.15393533  -3.48781816  -1.47197232
## 918   10.00496585   4.20572783 -26.07999259  -6.40286863  -0.63582141
## 919   10.00496585   4.20572783 -26.07999259  -6.40286863  -0.63582141
## 920   10.00496585   4.20572783 -26.07999259  -6.40286863  -0.63582141
## 921   10.00496585   4.20572783 -26.07999259  -6.40286863  -0.63582141
## 922   10.00496585   4.20572783 -26.07999259  -6.40286863  -0.63582141
## 923            NA           NA           NA           NA           NA
## 924            NA           NA           NA           NA           NA
## 925            NA           NA           NA           NA           NA
## 926            NA           NA           NA           NA           NA
## 927            NA           NA           NA           NA           NA
## 928            NA           NA           NA           NA           NA
## 929            NA           NA           NA           NA           NA
## 930            NA           NA           NA           NA           NA
## 931            NA           NA           NA           NA           NA
## 932            NA           NA           NA           NA           NA
## 933            NA           NA           NA           NA           NA
## 934            NA           NA           NA           NA           NA
## 935            NA           NA           NA           NA           NA
## 936            NA           NA           NA           NA           NA
## 937            NA           NA           NA           NA           NA
## 938  -10.29712511   2.81047323 -30.03579587  -0.75964726   8.34217066
## 939  -10.29712511   2.81047323 -30.03579587  -0.75964726   8.34217066
## 940  -10.29712511   2.81047323 -30.03579587  -0.75964726   8.34217066
## 941  -10.29712511   2.81047323 -30.03579587  -0.75964726   8.34217066
## 942  -10.29712511   2.81047323 -30.03579587  -0.75964726   8.34217066
## 943            NA           NA           NA           NA           NA
## 944            NA           NA           NA           NA           NA
## 945            NA           NA           NA           NA           NA
## 946            NA           NA           NA           NA           NA
## 947            NA           NA           NA           NA           NA
## 948            NA           NA           NA           NA           NA
## 949            NA           NA           NA           NA           NA
## 950            NA           NA           NA           NA           NA
## 951            NA           NA           NA           NA           NA
## 952            NA           NA           NA           NA           NA
## 953   -3.60810281 -10.41694515   2.08533579  -1.71533803   6.67802524
## 954   -3.60810281 -10.41694515   2.08533579  -1.71533803   6.67802524
## 955   -3.60810281 -10.41694515   2.08533579  -1.71533803   6.67802524
## 956   -3.60810281 -10.41694515   2.08533579  -1.71533803   6.67802524
## 957   -3.60810281 -10.41694515   2.08533579  -1.71533803   6.67802524
## 958    9.53921163   1.91589997  -7.58976766   3.79063651   3.32764168
## 959    9.53921163   1.91589997  -7.58976766   3.79063651   3.32764168
## 960    9.53921163   1.91589997  -7.58976766   3.79063651   3.32764168
## 961    9.53921163   1.91589997  -7.58976766   3.79063651   3.32764168
## 962    9.53921163   1.91589997  -7.58976766   3.79063651   3.32764168
## 963            NA           NA           NA           NA           NA
## 964            NA           NA           NA           NA           NA
## 965            NA           NA           NA           NA           NA
## 966            NA           NA           NA           NA           NA
## 967            NA           NA           NA           NA           NA
## 968            NA           NA           NA           NA           NA
## 969            NA           NA           NA           NA           NA
## 970            NA           NA           NA           NA           NA
## 971            NA           NA           NA           NA           NA
## 972            NA           NA           NA           NA           NA
## 973   -2.72532224  30.02999185   6.85906072 -13.25430215 -18.07569017
## 974   -2.72532224  30.02999185   6.85906072 -13.25430215 -18.07569017
## 975   -2.72532224  30.02999185   6.85906072 -13.25430215 -18.07569017
## 976   -2.72532224  30.02999185   6.85906072 -13.25430215 -18.07569017
## 977   -2.72532224  30.02999185   6.85906072 -13.25430215 -18.07569017
## 978    0.56440920 -20.02373070   6.77240965  11.87567228   8.07665565
## 979    0.56440920 -20.02373070   6.77240965  11.87567228   8.07665565
## 980    0.56440920 -20.02373070   6.77240965  11.87567228   8.07665565
## 981    0.56440920 -20.02373070   6.77240965  11.87567228   8.07665565
## 982    0.56440920 -20.02373070   6.77240965  11.87567228   8.07665565
## 983            NA           NA           NA           NA           NA
## 984            NA           NA           NA           NA           NA
## 985            NA           NA           NA           NA           NA
## 986            NA           NA           NA           NA           NA
## 987            NA           NA           NA           NA           NA
## 988            NA           NA           NA           NA           NA
## 989            NA           NA           NA           NA           NA
## 990            NA           NA           NA           NA           NA
## 991            NA           NA           NA           NA           NA
## 992            NA           NA           NA           NA           NA
## 993   -0.97748863  -2.98746385  -0.96345816  -1.47411518 -15.43779336
## 994   -0.97748863  -2.98746385  -0.96345816  -1.47411518 -15.43779336
## 995   -0.97748863  -2.98746385  -0.96345816  -1.47411518 -15.43779336
## 996   -0.97748863  -2.98746385  -0.96345816  -1.47411518 -15.43779336
## 997   -0.97748863  -2.98746385  -0.96345816  -1.47411518 -15.43779336
## 998            NA           NA           NA           NA           NA
## 999            NA           NA           NA           NA           NA
## 1000           NA           NA           NA           NA           NA
## 1001           NA           NA           NA           NA           NA
## 1002           NA           NA           NA           NA           NA
## 1003           NA           NA           NA           NA           NA
## 1004           NA           NA           NA           NA           NA
## 1005           NA           NA           NA           NA           NA
## 1006           NA           NA           NA           NA           NA
## 1007           NA           NA           NA           NA           NA
## 1008   1.29044077 -22.12063436   0.75216488   9.83731035  20.71662545
## 1009   1.29044077 -22.12063436   0.75216488   9.83731035  20.71662545
## 1010   1.29044077 -22.12063436   0.75216488   9.83731035  20.71662545
## 1011   1.29044077 -22.12063436   0.75216488   9.83731035  20.71662545
## 1012   1.29044077 -22.12063436   0.75216488   9.83731035  20.71662545
## 1013  -0.20645803   1.77765129   2.07201518   1.97661712 -10.44377734
## 1014  -0.20645803   1.77765129   2.07201518   1.97661712 -10.44377734
## 1015  -0.20645803   1.77765129   2.07201518   1.97661712 -10.44377734
## 1016  -0.20645803   1.77765129   2.07201518   1.97661712 -10.44377734
## 1017  -0.20645803   1.77765129   2.07201518   1.97661712 -10.44377734
## 1018  -1.60477401  21.71412723   4.75327333  -7.18258096   0.25320106
## 1019  -1.60477401  21.71412723   4.75327333  -7.18258096   0.25320106
## 1020  -1.60477401  21.71412723   4.75327333  -7.18258096   0.25320106
## 1021  -1.60477401  21.71412723   4.75327333  -7.18258096   0.25320106
## 1022  -1.60477401  21.71412723   4.75327333  -7.18258096   0.25320106
## 1023           NA           NA           NA           NA           NA
## 1024           NA           NA           NA           NA           NA
## 1025           NA           NA           NA           NA           NA
## 1026           NA           NA           NA           NA           NA
## 1027           NA           NA           NA           NA           NA
## 1028           NA           NA           NA           NA           NA
## 1029           NA           NA           NA           NA           NA
## 1030           NA           NA           NA           NA           NA
## 1031           NA           NA           NA           NA           NA
## 1032           NA           NA           NA           NA           NA
## 1033   1.44586414   7.54317811  23.45427702  -4.60309199   5.84114476
## 1034   1.44586414   7.54317811  23.45427702  -4.60309199   5.84114476
## 1035   1.44586414   7.54317811  23.45427702  -4.60309199   5.84114476
## 1036   1.44586414   7.54317811  23.45427702  -4.60309199   5.84114476
## 1037   1.44586414   7.54317811  23.45427702  -4.60309199   5.84114476
## 1038           NA           NA           NA           NA           NA
## 1039           NA           NA           NA           NA           NA
## 1040           NA           NA           NA           NA           NA
## 1041           NA           NA           NA           NA           NA
## 1042           NA           NA           NA           NA           NA
## 1043           NA           NA           NA           NA           NA
## 1044           NA           NA           NA           NA           NA
## 1045           NA           NA           NA           NA           NA
## 1046           NA           NA           NA           NA           NA
## 1047           NA           NA           NA           NA           NA
## 1048           NA           NA           NA           NA           NA
## 1049           NA           NA           NA           NA           NA
## 1050           NA           NA           NA           NA           NA
## 1051           NA           NA           NA           NA           NA
## 1052           NA           NA           NA           NA           NA
## 1053           NA           NA           NA           NA           NA
## 1054           NA           NA           NA           NA           NA
## 1055           NA           NA           NA           NA           NA
## 1056           NA           NA           NA           NA           NA
## 1057           NA           NA           NA           NA           NA
## 1058           NA           NA           NA           NA           NA
## 1059           NA           NA           NA           NA           NA
## 1060           NA           NA           NA           NA           NA
## 1061           NA           NA           NA           NA           NA
## 1062           NA           NA           NA           NA           NA
## 1063           NA           NA           NA           NA           NA
## 1064           NA           NA           NA           NA           NA
## 1065           NA           NA           NA           NA           NA
## 1066           NA           NA           NA           NA           NA
## 1067           NA           NA           NA           NA           NA
## 1068   1.37385359 -23.33457740   2.29167555  -3.47963798  -1.52670697
## 1069   1.37385359 -23.33457740   2.29167555  -3.47963798  -1.52670697
## 1070   1.37385359 -23.33457740   2.29167555  -3.47963798  -1.52670697
## 1071   1.37385359 -23.33457740   2.29167555  -3.47963798  -1.52670697
## 1072   1.37385359 -23.33457740   2.29167555  -3.47963798  -1.52670697
## 1073  -1.87903251   5.44005328   8.99051227 -16.89763349 -15.45248093
## 1074  -1.87903251   5.44005328   8.99051227 -16.89763349 -15.45248093
## 1075  -1.87903251   5.44005328   8.99051227 -16.89763349 -15.45248093
## 1076  -1.87903251   5.44005328   8.99051227 -16.89763349 -15.45248093
## 1077  -1.87903251   5.44005328   8.99051227 -16.89763349 -15.45248093
## 1078           NA           NA           NA           NA           NA
## 1079           NA           NA           NA           NA           NA
## 1080           NA           NA           NA           NA           NA
## 1081           NA           NA           NA           NA           NA
## 1082           NA           NA           NA           NA           NA
## 1083   1.29963664  19.72883848   2.81804100 -17.89515040   3.19446255
## 1084   1.29963664  19.72883848   2.81804100 -17.89515040   3.19446255
## 1085   1.29963664  19.72883848   2.81804100 -17.89515040   3.19446255
## 1086   1.29963664  19.72883848   2.81804100 -17.89515040   3.19446255
## 1087   1.29963664  19.72883848   2.81804100 -17.89515040   3.19446255
## 1088           NA           NA           NA           NA           NA
## 1089           NA           NA           NA           NA           NA
## 1090           NA           NA           NA           NA           NA
## 1091           NA           NA           NA           NA           NA
## 1092           NA           NA           NA           NA           NA
## 1093  -1.96538244   2.43699141 -16.06985678  10.68414843   6.53797431
## 1094  -1.96538244   2.43699141 -16.06985678  10.68414843   6.53797431
## 1095  -1.96538244   2.43699141 -16.06985678  10.68414843   6.53797431
## 1096  -1.96538244   2.43699141 -16.06985678  10.68414843   6.53797431
## 1097  -1.96538244   2.43699141 -16.06985678  10.68414843   6.53797431
## 1098           NA           NA           NA           NA           NA
## 1099           NA           NA           NA           NA           NA
## 1100           NA           NA           NA           NA           NA
## 1101           NA           NA           NA           NA           NA
## 1102           NA           NA           NA           NA           NA
## 1103  -2.64572988   0.45025874 -25.17383261   5.17891974   7.79761677
## 1104  -2.64572988   0.45025874 -25.17383261   5.17891974   7.79761677
## 1105  -2.64572988   0.45025874 -25.17383261   5.17891974   7.79761677
## 1106  -2.64572988   0.45025874 -25.17383261   5.17891974   7.79761677
## 1107  -2.64572988   0.45025874 -25.17383261   5.17891974   7.79761677
## 1108           NA           NA           NA           NA           NA
## 1109           NA           NA           NA           NA           NA
## 1110           NA           NA           NA           NA           NA
## 1111           NA           NA           NA           NA           NA
## 1112           NA           NA           NA           NA           NA
## 1113  -2.91048177 -21.41139570  -9.12110888  18.00328283  16.09102087
## 1114  -2.91048177 -21.41139570  -9.12110888  18.00328283  16.09102087
## 1115  -2.91048177 -21.41139570  -9.12110888  18.00328283  16.09102087
## 1116  -2.91048177 -21.41139570  -9.12110888  18.00328283  16.09102087
## 1117  -2.91048177 -21.41139570  -9.12110888  18.00328283  16.09102087
## 1118  -4.47549995   3.39333626  12.18702356   6.43165087  12.58221859
## 1119  -4.47549995   3.39333626  12.18702356   6.43165087  12.58221859
## 1120  -4.47549995   3.39333626  12.18702356   6.43165087  12.58221859
## 1121  -4.47549995   3.39333626  12.18702356   6.43165087  12.58221859
## 1122  -4.47549995   3.39333626  12.18702356   6.43165087  12.58221859
## 1123   3.98827184   2.36464562  -6.11776228   2.97397197   3.54106056
## 1124   3.98827184   2.36464562  -6.11776228   2.97397197   3.54106056
## 1125   3.98827184   2.36464562  -6.11776228   2.97397197   3.54106056
## 1126   3.98827184   2.36464562  -6.11776228   2.97397197   3.54106056
## 1127   3.98827184   2.36464562  -6.11776228   2.97397197   3.54106056
## 1128           NA           NA           NA           NA           NA
## 1129           NA           NA           NA           NA           NA
## 1130           NA           NA           NA           NA           NA
## 1131           NA           NA           NA           NA           NA
## 1132           NA           NA           NA           NA           NA
## 1133   0.05992632  -5.12045965 -12.71848834  -7.56985173  12.32470334
## 1134   0.05992632  -5.12045965 -12.71848834  -7.56985173  12.32470334
## 1135   0.05992632  -5.12045965 -12.71848834  -7.56985173  12.32470334
## 1136   0.05992632  -5.12045965 -12.71848834  -7.56985173  12.32470334
## 1137   0.05992632  -5.12045965 -12.71848834  -7.56985173  12.32470334
## 1138           NA           NA           NA           NA           NA
## 1139           NA           NA           NA           NA           NA
## 1140           NA           NA           NA           NA           NA
## 1141           NA           NA           NA           NA           NA
## 1142           NA           NA           NA           NA           NA
## 1143  -1.92449241 -13.49257205   3.49120023  -8.16998872 -17.50702312
## 1144  -1.92449241 -13.49257205   3.49120023  -8.16998872 -17.50702312
## 1145  -1.92449241 -13.49257205   3.49120023  -8.16998872 -17.50702312
## 1146  -1.92449241 -13.49257205   3.49120023  -8.16998872 -17.50702312
## 1147  -1.92449241 -13.49257205   3.49120023  -8.16998872 -17.50702312
## 1148           NA           NA           NA           NA           NA
## 1149           NA           NA           NA           NA           NA
## 1150           NA           NA           NA           NA           NA
## 1151           NA           NA           NA           NA           NA
## 1152           NA           NA           NA           NA           NA
## 1153  -1.33001072   1.69629697   1.21994301  -1.71957603  -2.82819348
## 1154  -1.33001072   1.69629697   1.21994301  -1.71957603  -2.82819348
## 1155  -1.33001072   1.69629697   1.21994301  -1.71957603  -2.82819348
## 1156  -1.33001072   1.69629697   1.21994301  -1.71957603  -2.82819348
## 1157  -1.33001072   1.69629697   1.21994301  -1.71957603  -2.82819348
## 1158  -3.03048278  -2.72101297   3.46321581  -7.02792551   8.68531423
## 1159  -3.03048278  -2.72101297   3.46321581  -7.02792551   8.68531423
## 1160  -3.03048278  -2.72101297   3.46321581  -7.02792551   8.68531423
## 1161  -3.03048278  -2.72101297   3.46321581  -7.02792551   8.68531423
## 1162  -3.03048278  -2.72101297   3.46321581  -7.02792551   8.68531423
## 1163           NA           NA           NA           NA           NA
## 1164           NA           NA           NA           NA           NA
## 1165           NA           NA           NA           NA           NA
## 1166           NA           NA           NA           NA           NA
## 1167           NA           NA           NA           NA           NA
## 1168           NA           NA           NA           NA           NA
## 1169           NA           NA           NA           NA           NA
## 1170           NA           NA           NA           NA           NA
## 1171           NA           NA           NA           NA           NA
## 1172           NA           NA           NA           NA           NA
## 1173           NA           NA           NA           NA           NA
## 1174           NA           NA           NA           NA           NA
## 1175           NA           NA           NA           NA           NA
## 1176           NA           NA           NA           NA           NA
## 1177           NA           NA           NA           NA           NA
## 1178           NA           NA           NA           NA           NA
## 1179           NA           NA           NA           NA           NA
## 1180           NA           NA           NA           NA           NA
## 1181           NA           NA           NA           NA           NA
## 1182           NA           NA           NA           NA           NA
## 1183           NA           NA           NA           NA           NA
## 1184           NA           NA           NA           NA           NA
## 1185           NA           NA           NA           NA           NA
## 1186           NA           NA           NA           NA           NA
## 1187           NA           NA           NA           NA           NA
## 1188   4.63001553  -2.36611473   2.45346665   7.04665717   5.31951685
## 1189   4.63001553  -2.36611473   2.45346665   7.04665717   5.31951685
## 1190   4.63001553  -2.36611473   2.45346665   7.04665717   5.31951685
## 1191   4.63001553  -2.36611473   2.45346665   7.04665717   5.31951685
## 1192   4.63001553  -2.36611473   2.45346665   7.04665717   5.31951685
## 1193  -1.68728187 -10.11962850   3.52789838  20.51969081  12.62011322
## 1194  -1.68728187 -10.11962850   3.52789838  20.51969081  12.62011322
## 1195  -1.68728187 -10.11962850   3.52789838  20.51969081  12.62011322
## 1196  -1.68728187 -10.11962850   3.52789838  20.51969081  12.62011322
## 1197  -1.68728187 -10.11962850   3.52789838  20.51969081  12.62011322
## 1198   4.92478391   6.32811425  -2.69247618   8.60871439  -2.78180579
## 1199   4.92478391   6.32811425  -2.69247618   8.60871439  -2.78180579
## 1200   4.92478391   6.32811425  -2.69247618   8.60871439  -2.78180579
## 1201   4.92478391   6.32811425  -2.69247618   8.60871439  -2.78180579
## 1202   4.92478391   6.32811425  -2.69247618   8.60871439  -2.78180579
## 1203  -3.81925138   8.69665722  -4.70587792   4.96741875  16.09135851
## 1204  -3.81925138   8.69665722  -4.70587792   4.96741875  16.09135851
## 1205  -3.81925138   8.69665722  -4.70587792   4.96741875  16.09135851
## 1206  -3.81925138   8.69665722  -4.70587792   4.96741875  16.09135851
## 1207  -3.81925138   8.69665722  -4.70587792   4.96741875  16.09135851
## 1208           NA           NA           NA           NA           NA
## 1209           NA           NA           NA           NA           NA
## 1210           NA           NA           NA           NA           NA
## 1211           NA           NA           NA           NA           NA
## 1212           NA           NA           NA           NA           NA
## 1213  -3.44159560  -2.47089206  -1.96553648 -10.09066333  19.21771354
## 1214  -3.44159560  -2.47089206  -1.96553648 -10.09066333  19.21771354
## 1215  -3.44159560  -2.47089206  -1.96553648 -10.09066333  19.21771354
## 1216  -3.44159560  -2.47089206  -1.96553648 -10.09066333  19.21771354
## 1217  -3.44159560  -2.47089206  -1.96553648 -10.09066333  19.21771354
## 1218   8.25919857   6.68118927   7.75090289  -7.89144626  10.18589479
## 1219   8.25919857   6.68118927   7.75090289  -7.89144626  10.18589479
## 1220   8.25919857   6.68118927   7.75090289  -7.89144626  10.18589479
## 1221   8.25919857   6.68118927   7.75090289  -7.89144626  10.18589479
## 1222   8.25919857   6.68118927   7.75090289  -7.89144626  10.18589479
## 1223           NA           NA           NA           NA           NA
## 1224           NA           NA           NA           NA           NA
## 1225           NA           NA           NA           NA           NA
## 1226           NA           NA           NA           NA           NA
## 1227           NA           NA           NA           NA           NA
## 1228           NA           NA           NA           NA           NA
## 1229           NA           NA           NA           NA           NA
## 1230           NA           NA           NA           NA           NA
## 1231           NA           NA           NA           NA           NA
## 1232           NA           NA           NA           NA           NA
## 1233           NA           NA           NA           NA           NA
## 1234           NA           NA           NA           NA           NA
## 1235           NA           NA           NA           NA           NA
## 1236           NA           NA           NA           NA           NA
## 1237           NA           NA           NA           NA           NA
## 1238   2.23847662 -21.23458355   1.06891416  21.53202529  -8.76302497
## 1239   2.23847662 -21.23458355   1.06891416  21.53202529  -8.76302497
## 1240   2.23847662 -21.23458355   1.06891416  21.53202529  -8.76302497
## 1241   2.23847662 -21.23458355   1.06891416  21.53202529  -8.76302497
## 1242   2.23847662 -21.23458355   1.06891416  21.53202529  -8.76302497
## 1243   1.18629183   3.11794893   3.89684986 -11.18117892 -16.70754983
## 1244   1.18629183   3.11794893   3.89684986 -11.18117892 -16.70754983
## 1245   1.18629183   3.11794893   3.89684986 -11.18117892 -16.70754983
## 1246   1.18629183   3.11794893   3.89684986 -11.18117892 -16.70754983
## 1247   1.18629183   3.11794893   3.89684986 -11.18117892 -16.70754983
## 1248           NA           NA           NA           NA           NA
## 1249           NA           NA           NA           NA           NA
## 1250           NA           NA           NA           NA           NA
## 1251           NA           NA           NA           NA           NA
## 1252           NA           NA           NA           NA           NA
## 1253           NA           NA           NA           NA           NA
## 1254           NA           NA           NA           NA           NA
## 1255           NA           NA           NA           NA           NA
## 1256           NA           NA           NA           NA           NA
## 1257           NA           NA           NA           NA           NA
## 1258           NA           NA           NA           NA           NA
## 1259           NA           NA           NA           NA           NA
## 1260           NA           NA           NA           NA           NA
## 1261           NA           NA           NA           NA           NA
## 1262           NA           NA           NA           NA           NA
## 1263   2.76761065   1.09840473   5.82178351   0.44385256  12.38696406
## 1264   2.76761065   1.09840473   5.82178351   0.44385256  12.38696406
## 1265   2.76761065   1.09840473   5.82178351   0.44385256  12.38696406
## 1266   2.76761065   1.09840473   5.82178351   0.44385256  12.38696406
## 1267   2.76761065   1.09840473   5.82178351   0.44385256  12.38696406
## 1268  -3.41642488   5.61872749   1.98069094  -3.42195860   2.39230100
## 1269  -3.41642488   5.61872749   1.98069094  -3.42195860   2.39230100
## 1270  -3.41642488   5.61872749   1.98069094  -3.42195860   2.39230100
## 1271  -3.41642488   5.61872749   1.98069094  -3.42195860   2.39230100
## 1272  -3.41642488   5.61872749   1.98069094  -3.42195860   2.39230100
## 1273  -1.51298660  15.99344781   1.11496790  -2.08569887 -12.95641754
## 1274  -1.51298660  15.99344781   1.11496790  -2.08569887 -12.95641754
## 1275  -1.51298660  15.99344781   1.11496790  -2.08569887 -12.95641754
## 1276  -1.51298660  15.99344781   1.11496790  -2.08569887 -12.95641754
## 1277  -1.51298660  15.99344781   1.11496790  -2.08569887 -12.95641754
## 1278  30.30606940   3.15236510 -17.83465175  -0.16829876  -0.27146306
## 1279  30.30606940   3.15236510 -17.83465175  -0.16829876  -0.27146306
## 1280  30.30606940   3.15236510 -17.83465175  -0.16829876  -0.27146306
## 1281  30.30606940   3.15236510 -17.83465175  -0.16829876  -0.27146306
## 1282  30.30606940   3.15236510 -17.83465175  -0.16829876  -0.27146306
## 1283  -0.51230383   6.77293683  -1.42793577 -15.15758415 -37.84802335
## 1284  -0.51230383   6.77293683  -1.42793577 -15.15758415 -37.84802335
## 1285  -0.51230383   6.77293683  -1.42793577 -15.15758415 -37.84802335
## 1286  -0.51230383   6.77293683  -1.42793577 -15.15758415 -37.84802335
## 1287  -0.51230383   6.77293683  -1.42793577 -15.15758415 -37.84802335
## 1288           NA           NA           NA           NA           NA
## 1289           NA           NA           NA           NA           NA
## 1290           NA           NA           NA           NA           NA
## 1291           NA           NA           NA           NA           NA
## 1292           NA           NA           NA           NA           NA
## 1293           NA           NA           NA           NA           NA
## 1294           NA           NA           NA           NA           NA
## 1295           NA           NA           NA           NA           NA
## 1296           NA           NA           NA           NA           NA
## 1297           NA           NA           NA           NA           NA
## 1298   5.32675202   2.14576715  -4.29770643   0.60595746   3.56883638
## 1299   5.32675202   2.14576715  -4.29770643   0.60595746   3.56883638
## 1300   5.32675202   2.14576715  -4.29770643   0.60595746   3.56883638
## 1301   5.32675202   2.14576715  -4.29770643   0.60595746   3.56883638
## 1302   5.32675202   2.14576715  -4.29770643   0.60595746   3.56883638
## 1303           NA           NA           NA           NA           NA
## 1304           NA           NA           NA           NA           NA
## 1305           NA           NA           NA           NA           NA
## 1306           NA           NA           NA           NA           NA
## 1307           NA           NA           NA           NA           NA
## 1308           NA           NA           NA           NA           NA
## 1309           NA           NA           NA           NA           NA
## 1310           NA           NA           NA           NA           NA
## 1311           NA           NA           NA           NA           NA
## 1312           NA           NA           NA           NA           NA
## 1313  -0.90224874   5.18593450   3.76287976   0.30577310  16.88682129
## 1314  -0.90224874   5.18593450   3.76287976   0.30577310  16.88682129
## 1315  -0.90224874   5.18593450   3.76287976   0.30577310  16.88682129
## 1316  -0.90224874   5.18593450   3.76287976   0.30577310  16.88682129
## 1317  -0.90224874   5.18593450   3.76287976   0.30577310  16.88682129
## 1318           NA           NA           NA           NA           NA
## 1319           NA           NA           NA           NA           NA
## 1320           NA           NA           NA           NA           NA
## 1321           NA           NA           NA           NA           NA
## 1322           NA           NA           NA           NA           NA
## 1323           NA           NA           NA           NA           NA
## 1324           NA           NA           NA           NA           NA
## 1325           NA           NA           NA           NA           NA
## 1326           NA           NA           NA           NA           NA
## 1327           NA           NA           NA           NA           NA
## 1328           NA           NA           NA           NA           NA
## 1329           NA           NA           NA           NA           NA
## 1330           NA           NA           NA           NA           NA
## 1331           NA           NA           NA           NA           NA
## 1332           NA           NA           NA           NA           NA
## 1333           NA           NA           NA           NA           NA
## 1334           NA           NA           NA           NA           NA
## 1335           NA           NA           NA           NA           NA
## 1336           NA           NA           NA           NA           NA
## 1337           NA           NA           NA           NA           NA
## 1338           NA           NA           NA           NA           NA
## 1339           NA           NA           NA           NA           NA
## 1340           NA           NA           NA           NA           NA
## 1341           NA           NA           NA           NA           NA
## 1342           NA           NA           NA           NA           NA
## 1343           NA           NA           NA           NA           NA
## 1344           NA           NA           NA           NA           NA
## 1345           NA           NA           NA           NA           NA
## 1346           NA           NA           NA           NA           NA
## 1347           NA           NA           NA           NA           NA
## 1348           NA           NA           NA           NA           NA
## 1349           NA           NA           NA           NA           NA
## 1350           NA           NA           NA           NA           NA
## 1351           NA           NA           NA           NA           NA
## 1352           NA           NA           NA           NA           NA
## 1353           NA           NA           NA           NA           NA
## 1354           NA           NA           NA           NA           NA
## 1355           NA           NA           NA           NA           NA
## 1356           NA           NA           NA           NA           NA
## 1357           NA           NA           NA           NA           NA
## 1358           NA           NA           NA           NA           NA
## 1359           NA           NA           NA           NA           NA
## 1360           NA           NA           NA           NA           NA
## 1361           NA           NA           NA           NA           NA
## 1362           NA           NA           NA           NA           NA
## 1363  23.04928069   2.67883940  -5.88519055   0.25532116   1.05073176
## 1364  23.04928069   2.67883940  -5.88519055   0.25532116   1.05073176
## 1365  23.04928069   2.67883940  -5.88519055   0.25532116   1.05073176
## 1366  23.04928069   2.67883940  -5.88519055   0.25532116   1.05073176
## 1367  23.04928069   2.67883940  -5.88519055   0.25532116   1.05073176
## 1368           NA           NA           NA           NA           NA
## 1369           NA           NA           NA           NA           NA
## 1370           NA           NA           NA           NA           NA
## 1371           NA           NA           NA           NA           NA
## 1372           NA           NA           NA           NA           NA
## 1373           NA           NA           NA           NA           NA
## 1374           NA           NA           NA           NA           NA
## 1375           NA           NA           NA           NA           NA
## 1376           NA           NA           NA           NA           NA
## 1377           NA           NA           NA           NA           NA
## 1378  16.54052442   5.32823308  -3.77161886   2.39449443   0.72058421
## 1379  16.54052442   5.32823308  -3.77161886   2.39449443   0.72058421
## 1380  16.54052442   5.32823308  -3.77161886   2.39449443   0.72058421
## 1381  16.54052442   5.32823308  -3.77161886   2.39449443   0.72058421
## 1382  16.54052442   5.32823308  -3.77161886   2.39449443   0.72058421
## 1383           NA           NA           NA           NA           NA
## 1384           NA           NA           NA           NA           NA
## 1385           NA           NA           NA           NA           NA
## 1386           NA           NA           NA           NA           NA
## 1387           NA           NA           NA           NA           NA
## 1388   4.99714227  -6.26583086   6.11307853   2.27797487   1.12306074
## 1389   4.99714227  -6.26583086   6.11307853   2.27797487   1.12306074
## 1390   4.99714227  -6.26583086   6.11307853   2.27797487   1.12306074
## 1391   4.99714227  -6.26583086   6.11307853   2.27797487   1.12306074
## 1392   4.99714227  -6.26583086   6.11307853   2.27797487   1.12306074
## 1393           NA           NA           NA           NA           NA
## 1394           NA           NA           NA           NA           NA
## 1395           NA           NA           NA           NA           NA
## 1396           NA           NA           NA           NA           NA
## 1397           NA           NA           NA           NA           NA
## 1398           NA           NA           NA           NA           NA
## 1399           NA           NA           NA           NA           NA
## 1400           NA           NA           NA           NA           NA
## 1401           NA           NA           NA           NA           NA
## 1402           NA           NA           NA           NA           NA
## 1403           NA           NA           NA           NA           NA
## 1404           NA           NA           NA           NA           NA
## 1405           NA           NA           NA           NA           NA
## 1406           NA           NA           NA           NA           NA
## 1407           NA           NA           NA           NA           NA
## 1408           NA           NA           NA           NA           NA
## 1409           NA           NA           NA           NA           NA
## 1410           NA           NA           NA           NA           NA
## 1411           NA           NA           NA           NA           NA
## 1412           NA           NA           NA           NA           NA
## 1413  -5.32049001  -7.09062365 -14.24254524   2.11268669   1.97442506
## 1414  -5.32049001  -7.09062365 -14.24254524   2.11268669   1.97442506
## 1415  -5.32049001  -7.09062365 -14.24254524   2.11268669   1.97442506
## 1416  -5.32049001  -7.09062365 -14.24254524   2.11268669   1.97442506
## 1417  -5.32049001  -7.09062365 -14.24254524   2.11268669   1.97442506
## 1418   6.07330770   1.32724533  -1.86729533   2.27962620  -1.61434033
## 1419   6.07330770   1.32724533  -1.86729533   2.27962620  -1.61434033
## 1420   6.07330770   1.32724533  -1.86729533   2.27962620  -1.61434033
## 1421   6.07330770   1.32724533  -1.86729533   2.27962620  -1.61434033
## 1422   6.07330770   1.32724533  -1.86729533   2.27962620  -1.61434033
## 1423           NA           NA           NA           NA           NA
## 1424           NA           NA           NA           NA           NA
## 1425           NA           NA           NA           NA           NA
## 1426           NA           NA           NA           NA           NA
## 1427           NA           NA           NA           NA           NA
## 1428  -3.81396616  -4.15501803  83.19835809   2.39764223  -2.31585353
## 1429  -3.81396616  -4.15501803  83.19835809   2.39764223  -2.31585353
## 1430  -3.81396616  -4.15501803  83.19835809   2.39764223  -2.31585353
## 1431  -3.81396616  -4.15501803  83.19835809   2.39764223  -2.31585353
## 1432  -3.81396616  -4.15501803  83.19835809   2.39764223  -2.31585353
## 1433   4.39868151   6.66045403  -5.10436113  -5.48236747  -3.87467690
## 1434   4.39868151   6.66045403  -5.10436113  -5.48236747  -3.87467690
## 1435   4.39868151   6.66045403  -5.10436113  -5.48236747  -3.87467690
## 1436   4.39868151   6.66045403  -5.10436113  -5.48236747  -3.87467690
## 1437   4.39868151   6.66045403  -5.10436113  -5.48236747  -3.87467690
## 1438           NA           NA           NA           NA           NA
## 1439           NA           NA           NA           NA           NA
## 1440           NA           NA           NA           NA           NA
## 1441           NA           NA           NA           NA           NA
## 1442           NA           NA           NA           NA           NA
## 1443   0.86480457 -25.84604145   4.34221906  75.54207488  34.15459099
## 1444   0.86480457 -25.84604145   4.34221906  75.54207488  34.15459099
## 1445   0.86480457 -25.84604145   4.34221906  75.54207488  34.15459099
## 1446   0.86480457 -25.84604145   4.34221906  75.54207488  34.15459099
## 1447   0.86480457 -25.84604145   4.34221906  75.54207488  34.15459099
## 1448           NA           NA           NA           NA           NA
## 1449           NA           NA           NA           NA           NA
## 1450           NA           NA           NA           NA           NA
## 1451           NA           NA           NA           NA           NA
## 1452           NA           NA           NA           NA           NA
## 1453           NA           NA           NA           NA           NA
## 1454           NA           NA           NA           NA           NA
## 1455           NA           NA           NA           NA           NA
## 1456           NA           NA           NA           NA           NA
## 1457           NA           NA           NA           NA           NA
## 1458           NA           NA           NA           NA           NA
## 1459           NA           NA           NA           NA           NA
## 1460           NA           NA           NA           NA           NA
## 1461           NA           NA           NA           NA           NA
## 1462           NA           NA           NA           NA           NA
## 1463 -12.92707525  -0.90671867 -10.35274283  -0.27216308  -3.59410579
## 1464 -12.92707525  -0.90671867 -10.35274283  -0.27216308  -3.59410579
## 1465 -12.92707525  -0.90671867 -10.35274283  -0.27216308  -3.59410579
## 1466 -12.92707525  -0.90671867 -10.35274283  -0.27216308  -3.59410579
## 1467 -12.92707525  -0.90671867 -10.35274283  -0.27216308  -3.59410579
## 1468           NA           NA           NA           NA           NA
## 1469           NA           NA           NA           NA           NA
## 1470           NA           NA           NA           NA           NA
## 1471           NA           NA           NA           NA           NA
## 1472           NA           NA           NA           NA           NA
## 1473           NA           NA           NA           NA           NA
## 1474           NA           NA           NA           NA           NA
## 1475           NA           NA           NA           NA           NA
## 1476           NA           NA           NA           NA           NA
## 1477           NA           NA           NA           NA           NA
## 1478           NA           NA           NA           NA           NA
## 1479           NA           NA           NA           NA           NA
## 1480           NA           NA           NA           NA           NA
## 1481           NA           NA           NA           NA           NA
## 1482           NA           NA           NA           NA           NA
## 1483           NA           NA           NA           NA           NA
## 1484           NA           NA           NA           NA           NA
## 1485           NA           NA           NA           NA           NA
## 1486           NA           NA           NA           NA           NA
## 1487           NA           NA           NA           NA           NA
## 1488   0.54900748   9.66142948 -29.87334647   9.89539578  -4.26951475
## 1489   0.54900748   9.66142948 -29.87334647   9.89539578  -4.26951475
## 1490   0.54900748   9.66142948 -29.87334647   9.89539578  -4.26951475
## 1491   0.54900748   9.66142948 -29.87334647   9.89539578  -4.26951475
## 1492   0.54900748   9.66142948 -29.87334647   9.89539578  -4.26951475
## 1493  -0.71128245  -1.63163214  10.21163592  21.14441912  11.86910791
## 1494  -0.71128245  -1.63163214  10.21163592  21.14441912  11.86910791
## 1495  -0.71128245  -1.63163214  10.21163592  21.14441912  11.86910791
## 1496  -0.71128245  -1.63163214  10.21163592  21.14441912  11.86910791
## 1497  -0.71128245  -1.63163214  10.21163592  21.14441912  11.86910791
## 1498   3.05526289  -6.33107430  20.84549179   3.09258516   0.83721997
## 1499   3.05526289  -6.33107430  20.84549179   3.09258516   0.83721997
## 1500   3.05526289  -6.33107430  20.84549179   3.09258516   0.83721997
## 1501   3.05526289  -6.33107430  20.84549179   3.09258516   0.83721997
## 1502   3.05526289  -6.33107430  20.84549179   3.09258516   0.83721997
## 1503  -0.38841232  10.91895077  11.60852187  -0.58531172   3.25872492
## 1504  -0.38841232  10.91895077  11.60852187  -0.58531172   3.25872492
## 1505  -0.38841232  10.91895077  11.60852187  -0.58531172   3.25872492
## 1506  -0.38841232  10.91895077  11.60852187  -0.58531172   3.25872492
## 1507  -0.38841232  10.91895077  11.60852187  -0.58531172   3.25872492
## 1508           NA           NA           NA           NA           NA
## 1509           NA           NA           NA           NA           NA
## 1510           NA           NA           NA           NA           NA
## 1511           NA           NA           NA           NA           NA
## 1512           NA           NA           NA           NA           NA
## 1513           NA           NA           NA           NA           NA
## 1514           NA           NA           NA           NA           NA
## 1515           NA           NA           NA           NA           NA
## 1516           NA           NA           NA           NA           NA
## 1517           NA           NA           NA           NA           NA
## 1518           NA           NA           NA           NA           NA
## 1519           NA           NA           NA           NA           NA
## 1520           NA           NA           NA           NA           NA
## 1521           NA           NA           NA           NA           NA
## 1522           NA           NA           NA           NA           NA
## 1523           NA           NA           NA           NA           NA
## 1524           NA           NA           NA           NA           NA
## 1525           NA           NA           NA           NA           NA
## 1526           NA           NA           NA           NA           NA
## 1527           NA           NA           NA           NA           NA
## 1528  39.34496589   0.41408433  -3.17930476  -0.49304929  -1.52333137
## 1529  39.34496589   0.41408433  -3.17930476  -0.49304929  -1.52333137
## 1530  39.34496589   0.41408433  -3.17930476  -0.49304929  -1.52333137
## 1531  39.34496589   0.41408433  -3.17930476  -0.49304929  -1.52333137
## 1532  39.34496589   0.41408433  -3.17930476  -0.49304929  -1.52333137
## 1533           NA           NA           NA           NA           NA
## 1534           NA           NA           NA           NA           NA
## 1535           NA           NA           NA           NA           NA
## 1536           NA           NA           NA           NA           NA
## 1537           NA           NA           NA           NA           NA
## 1538           NA           NA           NA           NA           NA
##        PC96_score   PC37_score   PC108_score   PC91_score    PC76_score
## 1      3.11248548   1.71656931   2.131308826 -14.20574073   0.212185197
## 2      3.11248548   1.71656931   2.131308826 -14.20574073   0.212185197
## 3      3.11248548   1.71656931   2.131308826 -14.20574073   0.212185197
## 4      3.11248548   1.71656931   2.131308826 -14.20574073   0.212185197
## 5      3.11248548   1.71656931   2.131308826 -14.20574073   0.212185197
## 6      3.11248548   1.71656931   2.131308826 -14.20574073   0.212185197
## 7      3.11248548   1.71656931   2.131308826 -14.20574073   0.212185197
## 8      3.11248548   1.71656931   2.131308826 -14.20574073   0.212185197
## 9     -5.64262609  -0.61615187  34.626338035 -10.85100132   2.049787372
## 10    -5.64262609  -0.61615187  34.626338035 -10.85100132   2.049787372
## 11    -5.64262609  -0.61615187  34.626338035 -10.85100132   2.049787372
## 12    -5.64262609  -0.61615187  34.626338035 -10.85100132   2.049787372
## 13    -5.64262609  -0.61615187  34.626338035 -10.85100132   2.049787372
## 14    -5.64262609  -0.61615187  34.626338035 -10.85100132   2.049787372
## 15    -5.64262609  -0.61615187  34.626338035 -10.85100132   2.049787372
## 16    -5.64262609  -0.61615187  34.626338035 -10.85100132   2.049787372
## 17    -3.67409813  11.02578589  -1.547839883   2.96228841   1.530143604
## 18    -3.67409813  11.02578589  -1.547839883   2.96228841   1.530143604
## 19    -3.67409813  11.02578589  -1.547839883   2.96228841   1.530143604
## 20    -3.67409813  11.02578589  -1.547839883   2.96228841   1.530143604
## 21    -3.67409813  11.02578589  -1.547839883   2.96228841   1.530143604
## 22    -3.67409813  11.02578589  -1.547839883   2.96228841   1.530143604
## 23    -3.67409813  11.02578589  -1.547839883   2.96228841   1.530143604
## 24    -3.67409813  11.02578589  -1.547839883   2.96228841   1.530143604
## 25     5.91729409 -16.93544886  -3.545955044   7.88893203  -6.662016663
## 26     5.91729409 -16.93544886  -3.545955044   7.88893203  -6.662016663
## 27     5.91729409 -16.93544886  -3.545955044   7.88893203  -6.662016663
## 28     5.91729409 -16.93544886  -3.545955044   7.88893203  -6.662016663
## 29     5.91729409 -16.93544886  -3.545955044   7.88893203  -6.662016663
## 30     5.91729409 -16.93544886  -3.545955044   7.88893203  -6.662016663
## 31     5.91729409 -16.93544886  -3.545955044   7.88893203  -6.662016663
## 32     5.91729409 -16.93544886  -3.545955044   7.88893203  -6.662016663
## 33     7.01722972  -5.98938032  -4.411746480  -4.33532071  11.188262526
## 34     7.01722972  -5.98938032  -4.411746480  -4.33532071  11.188262526
## 35     7.01722972  -5.98938032  -4.411746480  -4.33532071  11.188262526
## 36     7.01722972  -5.98938032  -4.411746480  -4.33532071  11.188262526
## 37     7.01722972  -5.98938032  -4.411746480  -4.33532071  11.188262526
## 38     7.01722972  -5.98938032  -4.411746480  -4.33532071  11.188262526
## 39     7.01722972  -5.98938032  -4.411746480  -4.33532071  11.188262526
## 40     7.01722972  -5.98938032  -4.411746480  -4.33532071  11.188262526
## 41   -74.33986560  -0.64058280  -9.376640750 -13.66909426 -10.982782203
## 42   -74.33986560  -0.64058280  -9.376640750 -13.66909426 -10.982782203
## 43   -74.33986560  -0.64058280  -9.376640750 -13.66909426 -10.982782203
## 44   -74.33986560  -0.64058280  -9.376640750 -13.66909426 -10.982782203
## 45   -74.33986560  -0.64058280  -9.376640750 -13.66909426 -10.982782203
## 46   -74.33986560  -0.64058280  -9.376640750 -13.66909426 -10.982782203
## 47   -74.33986560  -0.64058280  -9.376640750 -13.66909426 -10.982782203
## 48   -74.33986560  -0.64058280  -9.376640750 -13.66909426 -10.982782203
## 49     0.41259422   7.83483505  -0.227186521   0.57822068  -2.353747009
## 50     0.41259422   7.83483505  -0.227186521   0.57822068  -2.353747009
## 51     0.41259422   7.83483505  -0.227186521   0.57822068  -2.353747009
## 52     0.41259422   7.83483505  -0.227186521   0.57822068  -2.353747009
## 53     0.41259422   7.83483505  -0.227186521   0.57822068  -2.353747009
## 54     0.41259422   7.83483505  -0.227186521   0.57822068  -2.353747009
## 55     0.41259422   7.83483505  -0.227186521   0.57822068  -2.353747009
## 56     0.41259422   7.83483505  -0.227186521   0.57822068  -2.353747009
## 57     4.16874350  -3.22920141  -1.637997026   0.73069029  -5.458445166
## 58     4.16874350  -3.22920141  -1.637997026   0.73069029  -5.458445166
## 59     4.16874350  -3.22920141  -1.637997026   0.73069029  -5.458445166
## 60     4.16874350  -3.22920141  -1.637997026   0.73069029  -5.458445166
## 61     4.16874350  -3.22920141  -1.637997026   0.73069029  -5.458445166
## 62     4.16874350  -3.22920141  -1.637997026   0.73069029  -5.458445166
## 63     4.16874350  -3.22920141  -1.637997026   0.73069029  -5.458445166
## 64     4.16874350  -3.22920141  -1.637997026   0.73069029  -5.458445166
## 65    -1.23650570 -24.96756589  -2.377111945  -1.15337441  -1.635154237
## 66    -1.23650570 -24.96756589  -2.377111945  -1.15337441  -1.635154237
## 67    -1.23650570 -24.96756589  -2.377111945  -1.15337441  -1.635154237
## 68    -1.23650570 -24.96756589  -2.377111945  -1.15337441  -1.635154237
## 69    -1.23650570 -24.96756589  -2.377111945  -1.15337441  -1.635154237
## 70    -1.23650570 -24.96756589  -2.377111945  -1.15337441  -1.635154237
## 71    -1.23650570 -24.96756589  -2.377111945  -1.15337441  -1.635154237
## 72    -1.23650570 -24.96756589  -2.377111945  -1.15337441  -1.635154237
## 73    -0.48896726  -6.96907832  -1.616574265  -1.56333516   6.192191062
## 74    -0.48896726  -6.96907832  -1.616574265  -1.56333516   6.192191062
## 75    -0.48896726  -6.96907832  -1.616574265  -1.56333516   6.192191062
## 76    -0.48896726  -6.96907832  -1.616574265  -1.56333516   6.192191062
## 77    -0.48896726  -6.96907832  -1.616574265  -1.56333516   6.192191062
## 78    -0.48896726  -6.96907832  -1.616574265  -1.56333516   6.192191062
## 79    -0.48896726  -6.96907832  -1.616574265  -1.56333516   6.192191062
## 80    -0.48896726  -6.96907832  -1.616574265  -1.56333516   6.192191062
## 81     1.92035961  -5.63238247  -1.383006662  -5.22003683   2.706934140
## 82     1.92035961  -5.63238247  -1.383006662  -5.22003683   2.706934140
## 83     1.92035961  -5.63238247  -1.383006662  -5.22003683   2.706934140
## 84     1.92035961  -5.63238247  -1.383006662  -5.22003683   2.706934140
## 85     1.92035961  -5.63238247  -1.383006662  -5.22003683   2.706934140
## 86     1.92035961  -5.63238247  -1.383006662  -5.22003683   2.706934140
## 87     1.92035961  -5.63238247  -1.383006662  -5.22003683   2.706934140
## 88     1.92035961  -5.63238247  -1.383006662  -5.22003683   2.706934140
## 89    -0.71068778 -57.05997225   0.502346217  -2.99980276  -0.347559663
## 90    -0.71068778 -57.05997225   0.502346217  -2.99980276  -0.347559663
## 91    -0.71068778 -57.05997225   0.502346217  -2.99980276  -0.347559663
## 92    -0.71068778 -57.05997225   0.502346217  -2.99980276  -0.347559663
## 93    -0.71068778 -57.05997225   0.502346217  -2.99980276  -0.347559663
## 94    -0.71068778 -57.05997225   0.502346217  -2.99980276  -0.347559663
## 95    -0.71068778 -57.05997225   0.502346217  -2.99980276  -0.347559663
## 96    -0.71068778 -57.05997225   0.502346217  -2.99980276  -0.347559663
## 97    -7.31033932  -2.14424260   2.193888753  11.36963799  -0.206043932
## 98    -7.31033932  -2.14424260   2.193888753  11.36963799  -0.206043932
## 99    -7.31033932  -2.14424260   2.193888753  11.36963799  -0.206043932
## 100   -7.31033932  -2.14424260   2.193888753  11.36963799  -0.206043932
## 101   -7.31033932  -2.14424260   2.193888753  11.36963799  -0.206043932
## 102   -7.31033932  -2.14424260   2.193888753  11.36963799  -0.206043932
## 103   -7.31033932  -2.14424260   2.193888753  11.36963799  -0.206043932
## 104   -7.31033932  -2.14424260   2.193888753  11.36963799  -0.206043932
## 105   31.40623648  -2.77177942  -7.488049936 -21.51884052  -9.495973551
## 106   31.40623648  -2.77177942  -7.488049936 -21.51884052  -9.495973551
## 107   31.40623648  -2.77177942  -7.488049936 -21.51884052  -9.495973551
## 108   31.40623648  -2.77177942  -7.488049936 -21.51884052  -9.495973551
## 109   31.40623648  -2.77177942  -7.488049936 -21.51884052  -9.495973551
## 110   31.40623648  -2.77177942  -7.488049936 -21.51884052  -9.495973551
## 111   31.40623648  -2.77177942  -7.488049936 -21.51884052  -9.495973551
## 112   31.40623648  -2.77177942  -7.488049936 -21.51884052  -9.495973551
## 113   -0.63617646   0.30737016  -0.841883023   3.69389447  -0.599552285
## 114   -0.63617646   0.30737016  -0.841883023   3.69389447  -0.599552285
## 115   -0.63617646   0.30737016  -0.841883023   3.69389447  -0.599552285
## 116   -0.63617646   0.30737016  -0.841883023   3.69389447  -0.599552285
## 117   -0.63617646   0.30737016  -0.841883023   3.69389447  -0.599552285
## 118   -0.63617646   0.30737016  -0.841883023   3.69389447  -0.599552285
## 119   -0.63617646   0.30737016  -0.841883023   3.69389447  -0.599552285
## 120   -0.63617646   0.30737016  -0.841883023   3.69389447  -0.599552285
## 121   -8.49351023  18.51559271  -1.068503531   0.92593320   1.325306199
## 122   -8.49351023  18.51559271  -1.068503531   0.92593320   1.325306199
## 123   -8.49351023  18.51559271  -1.068503531   0.92593320   1.325306199
## 124   -8.49351023  18.51559271  -1.068503531   0.92593320   1.325306199
## 125   -8.49351023  18.51559271  -1.068503531   0.92593320   1.325306199
## 126   -8.49351023  18.51559271  -1.068503531   0.92593320   1.325306199
## 127   -8.49351023  18.51559271  -1.068503531   0.92593320   1.325306199
## 128   -8.49351023  18.51559271  -1.068503531   0.92593320   1.325306199
## 129    9.73652097   0.04220093  -2.192241645  -3.73334638 -17.323212165
## 130    9.73652097   0.04220093  -2.192241645  -3.73334638 -17.323212165
## 131    9.73652097   0.04220093  -2.192241645  -3.73334638 -17.323212165
## 132    9.73652097   0.04220093  -2.192241645  -3.73334638 -17.323212165
## 133    9.73652097   0.04220093  -2.192241645  -3.73334638 -17.323212165
## 134    9.73652097   0.04220093  -2.192241645  -3.73334638 -17.323212165
## 135    9.73652097   0.04220093  -2.192241645  -3.73334638 -17.323212165
## 136    9.73652097   0.04220093  -2.192241645  -3.73334638 -17.323212165
## 137   -1.09352837  -2.86204781  -0.469129583   2.49933505  -0.002494105
## 138   -1.09352837  -2.86204781  -0.469129583   2.49933505  -0.002494105
## 139   -1.09352837  -2.86204781  -0.469129583   2.49933505  -0.002494105
## 140   -1.09352837  -2.86204781  -0.469129583   2.49933505  -0.002494105
## 141   -1.09352837  -2.86204781  -0.469129583   2.49933505  -0.002494105
## 142   -1.09352837  -2.86204781  -0.469129583   2.49933505  -0.002494105
## 143   -1.09352837  -2.86204781  -0.469129583   2.49933505  -0.002494105
## 144   -1.09352837  -2.86204781  -0.469129583   2.49933505  -0.002494105
## 145    0.28947167  -8.36785392   2.987754289   5.13562173   2.806375783
## 146    0.28947167  -8.36785392   2.987754289   5.13562173   2.806375783
## 147    0.28947167  -8.36785392   2.987754289   5.13562173   2.806375783
## 148    0.28947167  -8.36785392   2.987754289   5.13562173   2.806375783
## 149    0.28947167  -8.36785392   2.987754289   5.13562173   2.806375783
## 150    0.28947167  -8.36785392   2.987754289   5.13562173   2.806375783
## 151    0.28947167  -8.36785392   2.987754289   5.13562173   2.806375783
## 152    0.28947167  -8.36785392   2.987754289   5.13562173   2.806375783
## 153   -1.20218517  -1.81620096  -0.611842170   1.36451498   1.030385951
## 154   -1.20218517  -1.81620096  -0.611842170   1.36451498   1.030385951
## 155   -1.20218517  -1.81620096  -0.611842170   1.36451498   1.030385951
## 156   -1.20218517  -1.81620096  -0.611842170   1.36451498   1.030385951
## 157   -1.20218517  -1.81620096  -0.611842170   1.36451498   1.030385951
## 158   -1.20218517  -1.81620096  -0.611842170   1.36451498   1.030385951
## 159   -1.20218517  -1.81620096  -0.611842170   1.36451498   1.030385951
## 160   -1.20218517  -1.81620096  -0.611842170   1.36451498   1.030385951
## 161   14.58514662  -3.71353348   0.238126654  11.28994990  -1.995380393
## 162   14.58514662  -3.71353348   0.238126654  11.28994990  -1.995380393
## 163   14.58514662  -3.71353348   0.238126654  11.28994990  -1.995380393
## 164   14.58514662  -3.71353348   0.238126654  11.28994990  -1.995380393
## 165   14.58514662  -3.71353348   0.238126654  11.28994990  -1.995380393
## 166   14.58514662  -3.71353348   0.238126654  11.28994990  -1.995380393
## 167   14.58514662  -3.71353348   0.238126654  11.28994990  -1.995380393
## 168   14.58514662  -3.71353348   0.238126654  11.28994990  -1.995380393
## 169    3.60638772   1.33319644 -10.825467617  -4.90760741  -1.082221578
## 170    3.60638772   1.33319644 -10.825467617  -4.90760741  -1.082221578
## 171    3.60638772   1.33319644 -10.825467617  -4.90760741  -1.082221578
## 172    3.60638772   1.33319644 -10.825467617  -4.90760741  -1.082221578
## 173    3.60638772   1.33319644 -10.825467617  -4.90760741  -1.082221578
## 174    3.60638772   1.33319644 -10.825467617  -4.90760741  -1.082221578
## 175    3.60638772   1.33319644 -10.825467617  -4.90760741  -1.082221578
## 176    3.60638772   1.33319644 -10.825467617  -4.90760741  -1.082221578
## 177  -15.68838164 -11.21439623 -10.201096811  -4.37108620  -5.660904320
## 178  -15.68838164 -11.21439623 -10.201096811  -4.37108620  -5.660904320
## 179  -15.68838164 -11.21439623 -10.201096811  -4.37108620  -5.660904320
## 180  -15.68838164 -11.21439623 -10.201096811  -4.37108620  -5.660904320
## 181  -15.68838164 -11.21439623 -10.201096811  -4.37108620  -5.660904320
## 182  -15.68838164 -11.21439623 -10.201096811  -4.37108620  -5.660904320
## 183  -15.68838164 -11.21439623 -10.201096811  -4.37108620  -5.660904320
## 184  -15.68838164 -11.21439623 -10.201096811  -4.37108620  -5.660904320
## 185    1.23984599   4.49642199   0.707908870   3.93732579   3.530990797
## 186    1.23984599   4.49642199   0.707908870   3.93732579   3.530990797
## 187    1.23984599   4.49642199   0.707908870   3.93732579   3.530990797
## 188    1.23984599   4.49642199   0.707908870   3.93732579   3.530990797
## 189    1.23984599   4.49642199   0.707908870   3.93732579   3.530990797
## 190    1.23984599   4.49642199   0.707908870   3.93732579   3.530990797
## 191    1.23984599   4.49642199   0.707908870   3.93732579   3.530990797
## 192    1.23984599   4.49642199   0.707908870   3.93732579   3.530990797
## 193   -3.89560038 -13.47406649  -4.938581964  -2.47007784  22.013970330
## 194   -3.89560038 -13.47406649  -4.938581964  -2.47007784  22.013970330
## 195   -3.89560038 -13.47406649  -4.938581964  -2.47007784  22.013970330
## 196   -3.89560038 -13.47406649  -4.938581964  -2.47007784  22.013970330
## 197   -3.89560038 -13.47406649  -4.938581964  -2.47007784  22.013970330
## 198   -3.89560038 -13.47406649  -4.938581964  -2.47007784  22.013970330
## 199   -3.89560038 -13.47406649  -4.938581964  -2.47007784  22.013970330
## 200   -3.89560038 -13.47406649  -4.938581964  -2.47007784  22.013970330
## 201   -0.47504990  20.24356750  -0.279265812   0.04402103  -3.067015599
## 202   -0.47504990  20.24356750  -0.279265812   0.04402103  -3.067015599
## 203   -0.47504990  20.24356750  -0.279265812   0.04402103  -3.067015599
## 204   -0.47504990  20.24356750  -0.279265812   0.04402103  -3.067015599
## 205   -0.47504990  20.24356750  -0.279265812   0.04402103  -3.067015599
## 206   -0.47504990  20.24356750  -0.279265812   0.04402103  -3.067015599
## 207   -0.47504990  20.24356750  -0.279265812   0.04402103  -3.067015599
## 208   -0.47504990  20.24356750  -0.279265812   0.04402103  -3.067015599
## 209    1.01015325  -2.57857461  -0.295918449   0.03953667  -2.663389941
## 210    1.01015325  -2.57857461  -0.295918449   0.03953667  -2.663389941
## 211    1.01015325  -2.57857461  -0.295918449   0.03953667  -2.663389941
## 212    1.01015325  -2.57857461  -0.295918449   0.03953667  -2.663389941
## 213    1.01015325  -2.57857461  -0.295918449   0.03953667  -2.663389941
## 214    1.01015325  -2.57857461  -0.295918449   0.03953667  -2.663389941
## 215    1.01015325  -2.57857461  -0.295918449   0.03953667  -2.663389941
## 216    1.01015325  -2.57857461  -0.295918449   0.03953667  -2.663389941
## 217   -0.82414458   4.43830164  -0.367407473  -1.12462040  -0.066521023
## 218   -0.82414458   4.43830164  -0.367407473  -1.12462040  -0.066521023
## 219   -0.82414458   4.43830164  -0.367407473  -1.12462040  -0.066521023
## 220   -0.82414458   4.43830164  -0.367407473  -1.12462040  -0.066521023
## 221   -0.82414458   4.43830164  -0.367407473  -1.12462040  -0.066521023
## 222   -0.82414458   4.43830164  -0.367407473  -1.12462040  -0.066521023
## 223   -0.82414458   4.43830164  -0.367407473  -1.12462040  -0.066521023
## 224   -0.82414458   4.43830164  -0.367407473  -1.12462040  -0.066521023
## 225   -8.45329992   0.18788915  65.335914258  -4.83433546   4.535835511
## 226   -8.45329992   0.18788915  65.335914258  -4.83433546   4.535835511
## 227   -8.45329992   0.18788915  65.335914258  -4.83433546   4.535835511
## 228   -8.45329992   0.18788915  65.335914258  -4.83433546   4.535835511
## 229   -8.45329992   0.18788915  65.335914258  -4.83433546   4.535835511
## 230   -8.45329992   0.18788915  65.335914258  -4.83433546   4.535835511
## 231   -8.45329992   0.18788915  65.335914258  -4.83433546   4.535835511
## 232   -8.45329992   0.18788915  65.335914258  -4.83433546   4.535835511
## 233    0.41142143  34.84594305  -0.613253357  -1.59553327  -0.221114535
## 234    0.41142143  34.84594305  -0.613253357  -1.59553327  -0.221114535
## 235    0.41142143  34.84594305  -0.613253357  -1.59553327  -0.221114535
## 236    0.41142143  34.84594305  -0.613253357  -1.59553327  -0.221114535
## 237    0.41142143  34.84594305  -0.613253357  -1.59553327  -0.221114535
## 238    0.41142143  34.84594305  -0.613253357  -1.59553327  -0.221114535
## 239    0.41142143  34.84594305  -0.613253357  -1.59553327  -0.221114535
## 240    0.41142143  34.84594305  -0.613253357  -1.59553327  -0.221114535
## 241    8.82142765  -7.29161781   0.642100151  -1.71899453 -14.174635966
## 242    8.82142765  -7.29161781   0.642100151  -1.71899453 -14.174635966
## 243    8.82142765  -7.29161781   0.642100151  -1.71899453 -14.174635966
## 244    8.82142765  -7.29161781   0.642100151  -1.71899453 -14.174635966
## 245    8.82142765  -7.29161781   0.642100151  -1.71899453 -14.174635966
## 246    8.82142765  -7.29161781   0.642100151  -1.71899453 -14.174635966
## 247    8.82142765  -7.29161781   0.642100151  -1.71899453 -14.174635966
## 248    8.82142765  -7.29161781   0.642100151  -1.71899453 -14.174635966
## 249   -6.91173565  -8.89341805  -6.353595226  12.43292978  37.967769053
## 250   -6.91173565  -8.89341805  -6.353595226  12.43292978  37.967769053
## 251   -6.91173565  -8.89341805  -6.353595226  12.43292978  37.967769053
## 252   -6.91173565  -8.89341805  -6.353595226  12.43292978  37.967769053
## 253   -6.91173565  -8.89341805  -6.353595226  12.43292978  37.967769053
## 254   -6.91173565  -8.89341805  -6.353595226  12.43292978  37.967769053
## 255   -6.91173565  -8.89341805  -6.353595226  12.43292978  37.967769053
## 256   -6.91173565  -8.89341805  -6.353595226  12.43292978  37.967769053
## 257   -0.39106882  -8.72430498   1.686919690 -19.64149989  -1.570364614
## 258   -0.39106882  -8.72430498   1.686919690 -19.64149989  -1.570364614
## 259   -0.39106882  -8.72430498   1.686919690 -19.64149989  -1.570364614
## 260   -0.39106882  -8.72430498   1.686919690 -19.64149989  -1.570364614
## 261   -0.39106882  -8.72430498   1.686919690 -19.64149989  -1.570364614
## 262   -0.39106882  -8.72430498   1.686919690 -19.64149989  -1.570364614
## 263   -0.39106882  -8.72430498   1.686919690 -19.64149989  -1.570364614
## 264   -0.39106882  -8.72430498   1.686919690 -19.64149989  -1.570364614
## 265   -7.02049251  -2.18750932  -4.610237248  -3.19337659  -1.543422792
## 266   -7.02049251  -2.18750932  -4.610237248  -3.19337659  -1.543422792
## 267   -7.02049251  -2.18750932  -4.610237248  -3.19337659  -1.543422792
## 268   -7.02049251  -2.18750932  -4.610237248  -3.19337659  -1.543422792
## 269   -7.02049251  -2.18750932  -4.610237248  -3.19337659  -1.543422792
## 270   -7.02049251  -2.18750932  -4.610237248  -3.19337659  -1.543422792
## 271   -7.02049251  -2.18750932  -4.610237248  -3.19337659  -1.543422792
## 272   -7.02049251  -2.18750932  -4.610237248  -3.19337659  -1.543422792
## 273   -0.95751551  32.18072192  -1.049031697  -6.36969335   2.980062877
## 274   -0.95751551  32.18072192  -1.049031697  -6.36969335   2.980062877
## 275   -0.95751551  32.18072192  -1.049031697  -6.36969335   2.980062877
## 276   -0.95751551  32.18072192  -1.049031697  -6.36969335   2.980062877
## 277   -0.95751551  32.18072192  -1.049031697  -6.36969335   2.980062877
## 278   -0.95751551  32.18072192  -1.049031697  -6.36969335   2.980062877
## 279   -0.95751551  32.18072192  -1.049031697  -6.36969335   2.980062877
## 280   -0.95751551  32.18072192  -1.049031697  -6.36969335   2.980062877
## 281    0.77272587  48.36251309   0.987788298  -3.69337469  -0.868622123
## 282    0.77272587  48.36251309   0.987788298  -3.69337469  -0.868622123
## 283    0.77272587  48.36251309   0.987788298  -3.69337469  -0.868622123
## 284    0.77272587  48.36251309   0.987788298  -3.69337469  -0.868622123
## 285    0.77272587  48.36251309   0.987788298  -3.69337469  -0.868622123
## 286    0.77272587  48.36251309   0.987788298  -3.69337469  -0.868622123
## 287    0.77272587  48.36251309   0.987788298  -3.69337469  -0.868622123
## 288    0.77272587  48.36251309   0.987788298  -3.69337469  -0.868622123
## 289    3.67937597   3.09860161   0.410474591   1.73541074  27.262860131
## 290    3.67937597   3.09860161   0.410474591   1.73541074  27.262860131
## 291    3.67937597   3.09860161   0.410474591   1.73541074  27.262860131
## 292    3.67937597   3.09860161   0.410474591   1.73541074  27.262860131
## 293    3.67937597   3.09860161   0.410474591   1.73541074  27.262860131
## 294    3.67937597   3.09860161   0.410474591   1.73541074  27.262860131
## 295    3.67937597   3.09860161   0.410474591   1.73541074  27.262860131
## 296    3.67937597   3.09860161   0.410474591   1.73541074  27.262860131
## 297    2.24025293   2.88475430  11.226409708   5.54636943   2.134502115
## 298    2.24025293   2.88475430  11.226409708   5.54636943   2.134502115
## 299    2.24025293   2.88475430  11.226409708   5.54636943   2.134502115
## 300    2.24025293   2.88475430  11.226409708   5.54636943   2.134502115
## 301    2.24025293   2.88475430  11.226409708   5.54636943   2.134502115
## 302    2.24025293   2.88475430  11.226409708   5.54636943   2.134502115
## 303    2.24025293   2.88475430  11.226409708   5.54636943   2.134502115
## 304    2.24025293   2.88475430  11.226409708   5.54636943   2.134502115
## 305  -13.99856961  -3.72162589  10.583707731 -20.23953300  -3.853130107
## 306  -13.99856961  -3.72162589  10.583707731 -20.23953300  -3.853130107
## 307  -13.99856961  -3.72162589  10.583707731 -20.23953300  -3.853130107
## 308  -13.99856961  -3.72162589  10.583707731 -20.23953300  -3.853130107
## 309  -13.99856961  -3.72162589  10.583707731 -20.23953300  -3.853130107
## 310  -13.99856961  -3.72162589  10.583707731 -20.23953300  -3.853130107
## 311  -13.99856961  -3.72162589  10.583707731 -20.23953300  -3.853130107
## 312  -13.99856961  -3.72162589  10.583707731 -20.23953300  -3.853130107
## 313   -4.78781591 -34.73516239   2.429611945   1.48973153  10.421141517
## 314   -4.78781591 -34.73516239   2.429611945   1.48973153  10.421141517
## 315   -4.78781591 -34.73516239   2.429611945   1.48973153  10.421141517
## 316   -4.78781591 -34.73516239   2.429611945   1.48973153  10.421141517
## 317   -4.78781591 -34.73516239   2.429611945   1.48973153  10.421141517
## 318   -4.78781591 -34.73516239   2.429611945   1.48973153  10.421141517
## 319   -4.78781591 -34.73516239   2.429611945   1.48973153  10.421141517
## 320   -4.78781591 -34.73516239   2.429611945   1.48973153  10.421141517
## 321    0.59389338  43.86689820  -2.535047972  -5.36274585  -2.670770421
## 322    0.59389338  43.86689820  -2.535047972  -5.36274585  -2.670770421
## 323    0.59389338  43.86689820  -2.535047972  -5.36274585  -2.670770421
## 324    0.59389338  43.86689820  -2.535047972  -5.36274585  -2.670770421
## 325    0.59389338  43.86689820  -2.535047972  -5.36274585  -2.670770421
## 326    0.59389338  43.86689820  -2.535047972  -5.36274585  -2.670770421
## 327    0.59389338  43.86689820  -2.535047972  -5.36274585  -2.670770421
## 328    0.59389338  43.86689820  -2.535047972  -5.36274585  -2.670770421
## 329   -3.35671793  -5.51584375   5.741161443  18.68417358 -27.502306476
## 330   -3.35671793  -5.51584375   5.741161443  18.68417358 -27.502306476
## 331   -3.35671793  -5.51584375   5.741161443  18.68417358 -27.502306476
## 332   -3.35671793  -5.51584375   5.741161443  18.68417358 -27.502306476
## 333   -3.35671793  -5.51584375   5.741161443  18.68417358 -27.502306476
## 334   -3.35671793  -5.51584375   5.741161443  18.68417358 -27.502306476
## 335   -3.35671793  -5.51584375   5.741161443  18.68417358 -27.502306476
## 336   -3.35671793  -5.51584375   5.741161443  18.68417358 -27.502306476
## 337   -0.32667249  23.62378763  -1.760290112   3.37483992  -6.683493690
## 338   -0.32667249  23.62378763  -1.760290112   3.37483992  -6.683493690
## 339   -0.32667249  23.62378763  -1.760290112   3.37483992  -6.683493690
## 340   -0.32667249  23.62378763  -1.760290112   3.37483992  -6.683493690
## 341   -0.32667249  23.62378763  -1.760290112   3.37483992  -6.683493690
## 342   -0.32667249  23.62378763  -1.760290112   3.37483992  -6.683493690
## 343   -0.32667249  23.62378763  -1.760290112   3.37483992  -6.683493690
## 344   -0.32667249  23.62378763  -1.760290112   3.37483992  -6.683493690
## 345   -5.41894876 -11.66294394  -0.925003156  -1.46299883  -2.618813242
## 346   -5.41894876 -11.66294394  -0.925003156  -1.46299883  -2.618813242
## 347   -5.41894876 -11.66294394  -0.925003156  -1.46299883  -2.618813242
## 348   -5.41894876 -11.66294394  -0.925003156  -1.46299883  -2.618813242
## 349   -5.41894876 -11.66294394  -0.925003156  -1.46299883  -2.618813242
## 350   -5.41894876 -11.66294394  -0.925003156  -1.46299883  -2.618813242
## 351   -5.41894876 -11.66294394  -0.925003156  -1.46299883  -2.618813242
## 352   -5.41894876 -11.66294394  -0.925003156  -1.46299883  -2.618813242
## 353    9.19431036   0.52083477  -4.998984978 -15.76433051  49.956238025
## 354    9.19431036   0.52083477  -4.998984978 -15.76433051  49.956238025
## 355    9.19431036   0.52083477  -4.998984978 -15.76433051  49.956238025
## 356    9.19431036   0.52083477  -4.998984978 -15.76433051  49.956238025
## 357    9.19431036   0.52083477  -4.998984978 -15.76433051  49.956238025
## 358    9.19431036   0.52083477  -4.998984978 -15.76433051  49.956238025
## 359    9.19431036   0.52083477  -4.998984978 -15.76433051  49.956238025
## 360    9.19431036   0.52083477  -4.998984978 -15.76433051  49.956238025
## 361    1.65047498   4.27579941  -1.722735262   2.83814470   0.415509621
## 362    1.65047498   4.27579941  -1.722735262   2.83814470   0.415509621
## 363    1.65047498   4.27579941  -1.722735262   2.83814470   0.415509621
## 364    1.65047498   4.27579941  -1.722735262   2.83814470   0.415509621
## 365    1.65047498   4.27579941  -1.722735262   2.83814470   0.415509621
## 366    1.65047498   4.27579941  -1.722735262   2.83814470   0.415509621
## 367    1.65047498   4.27579941  -1.722735262   2.83814470   0.415509621
## 368    1.65047498   4.27579941  -1.722735262   2.83814470   0.415509621
## 369    7.86221485  -9.36984068   1.879517164   8.37907491 -26.778906144
## 370    7.86221485  -9.36984068   1.879517164   8.37907491 -26.778906144
## 371    7.86221485  -9.36984068   1.879517164   8.37907491 -26.778906144
## 372    7.86221485  -9.36984068   1.879517164   8.37907491 -26.778906144
## 373    7.86221485  -9.36984068   1.879517164   8.37907491 -26.778906144
## 374    7.86221485  -9.36984068   1.879517164   8.37907491 -26.778906144
## 375    7.86221485  -9.36984068   1.879517164   8.37907491 -26.778906144
## 376    7.86221485  -9.36984068   1.879517164   8.37907491 -26.778906144
## 377   15.69149712   0.10993913   0.692800286   1.01507474 -17.025299553
## 378   15.69149712   0.10993913   0.692800286   1.01507474 -17.025299553
## 379   15.69149712   0.10993913   0.692800286   1.01507474 -17.025299553
## 380   15.69149712   0.10993913   0.692800286   1.01507474 -17.025299553
## 381   15.69149712   0.10993913   0.692800286   1.01507474 -17.025299553
## 382   15.69149712   0.10993913   0.692800286   1.01507474 -17.025299553
## 383   15.69149712   0.10993913   0.692800286   1.01507474 -17.025299553
## 384   15.69149712   0.10993913   0.692800286   1.01507474 -17.025299553
## 385  -28.56274690  -1.78622468  -0.700044815 -18.63832099  -8.893191015
## 386  -28.56274690  -1.78622468  -0.700044815 -18.63832099  -8.893191015
## 387  -28.56274690  -1.78622468  -0.700044815 -18.63832099  -8.893191015
## 388  -28.56274690  -1.78622468  -0.700044815 -18.63832099  -8.893191015
## 389  -28.56274690  -1.78622468  -0.700044815 -18.63832099  -8.893191015
## 390  -28.56274690  -1.78622468  -0.700044815 -18.63832099  -8.893191015
## 391  -28.56274690  -1.78622468  -0.700044815 -18.63832099  -8.893191015
## 392  -28.56274690  -1.78622468  -0.700044815 -18.63832099  -8.893191015
## 393   -1.57042118  -2.36152332  30.888786166  -3.47661867   2.742659705
## 394   -1.57042118  -2.36152332  30.888786166  -3.47661867   2.742659705
## 395   -1.57042118  -2.36152332  30.888786166  -3.47661867   2.742659705
## 396   -1.57042118  -2.36152332  30.888786166  -3.47661867   2.742659705
## 397   -1.57042118  -2.36152332  30.888786166  -3.47661867   2.742659705
## 398   -1.57042118  -2.36152332  30.888786166  -3.47661867   2.742659705
## 399   -1.57042118  -2.36152332  30.888786166  -3.47661867   2.742659705
## 400   -1.57042118  -2.36152332  30.888786166  -3.47661867   2.742659705
## 401   -1.29805891 -19.32880083  -1.136957422  -1.63093900   3.743617949
## 402   -1.29805891 -19.32880083  -1.136957422  -1.63093900   3.743617949
## 403   -1.29805891 -19.32880083  -1.136957422  -1.63093900   3.743617949
## 404   -1.29805891 -19.32880083  -1.136957422  -1.63093900   3.743617949
## 405   -1.29805891 -19.32880083  -1.136957422  -1.63093900   3.743617949
## 406   -1.29805891 -19.32880083  -1.136957422  -1.63093900   3.743617949
## 407   -1.29805891 -19.32880083  -1.136957422  -1.63093900   3.743617949
## 408   -1.29805891 -19.32880083  -1.136957422  -1.63093900   3.743617949
## 409   -3.40665611 -12.98541115   0.537895703   7.21054125  -6.524574615
## 410   -3.40665611 -12.98541115   0.537895703   7.21054125  -6.524574615
## 411   -3.40665611 -12.98541115   0.537895703   7.21054125  -6.524574615
## 412   -3.40665611 -12.98541115   0.537895703   7.21054125  -6.524574615
## 413   -3.40665611 -12.98541115   0.537895703   7.21054125  -6.524574615
## 414   -3.40665611 -12.98541115   0.537895703   7.21054125  -6.524574615
## 415   -3.40665611 -12.98541115   0.537895703   7.21054125  -6.524574615
## 416   -3.40665611 -12.98541115   0.537895703   7.21054125  -6.524574615
## 417   -1.04141519   2.09780630   0.096624430 -21.82071638  11.730833341
## 418   -1.04141519   2.09780630   0.096624430 -21.82071638  11.730833341
## 419   -1.04141519   2.09780630   0.096624430 -21.82071638  11.730833341
## 420   -1.04141519   2.09780630   0.096624430 -21.82071638  11.730833341
## 421   -1.04141519   2.09780630   0.096624430 -21.82071638  11.730833341
## 422   -1.04141519   2.09780630   0.096624430 -21.82071638  11.730833341
## 423   -1.04141519   2.09780630   0.096624430 -21.82071638  11.730833341
## 424   -1.04141519   2.09780630   0.096624430 -21.82071638  11.730833341
## 425    1.37115831   3.43273053   2.891430594  -0.96140545  -3.467168192
## 426    1.37115831   3.43273053   2.891430594  -0.96140545  -3.467168192
## 427    1.37115831   3.43273053   2.891430594  -0.96140545  -3.467168192
## 428    1.37115831   3.43273053   2.891430594  -0.96140545  -3.467168192
## 429    1.37115831   3.43273053   2.891430594  -0.96140545  -3.467168192
## 430    1.37115831   3.43273053   2.891430594  -0.96140545  -3.467168192
## 431    1.37115831   3.43273053   2.891430594  -0.96140545  -3.467168192
## 432    1.37115831   3.43273053   2.891430594  -0.96140545  -3.467168192
## 433    6.71846740  -7.29474698   1.324569485   7.27820526 -33.528964279
## 434    6.71846740  -7.29474698   1.324569485   7.27820526 -33.528964279
## 435    6.71846740  -7.29474698   1.324569485   7.27820526 -33.528964279
## 436    6.71846740  -7.29474698   1.324569485   7.27820526 -33.528964279
## 437    6.71846740  -7.29474698   1.324569485   7.27820526 -33.528964279
## 438    6.71846740  -7.29474698   1.324569485   7.27820526 -33.528964279
## 439    6.71846740  -7.29474698   1.324569485   7.27820526 -33.528964279
## 440    6.71846740  -7.29474698   1.324569485   7.27820526 -33.528964279
## 441    1.67238599   1.20438395  -0.660452157   0.13517667  -3.817959963
## 442    1.67238599   1.20438395  -0.660452157   0.13517667  -3.817959963
## 443    1.67238599   1.20438395  -0.660452157   0.13517667  -3.817959963
## 444    1.67238599   1.20438395  -0.660452157   0.13517667  -3.817959963
## 445    1.67238599   1.20438395  -0.660452157   0.13517667  -3.817959963
## 446    1.67238599   1.20438395  -0.660452157   0.13517667  -3.817959963
## 447    1.67238599   1.20438395  -0.660452157   0.13517667  -3.817959963
## 448    1.67238599   1.20438395  -0.660452157   0.13517667  -3.817959963
## 449   -7.29896773   6.60097392  -7.791273386  26.49677098  -7.909862609
## 450   -7.29896773   6.60097392  -7.791273386  26.49677098  -7.909862609
## 451   -7.29896773   6.60097392  -7.791273386  26.49677098  -7.909862609
## 452   -7.29896773   6.60097392  -7.791273386  26.49677098  -7.909862609
## 453   -7.29896773   6.60097392  -7.791273386  26.49677098  -7.909862609
## 454   -7.29896773   6.60097392  -7.791273386  26.49677098  -7.909862609
## 455   -7.29896773   6.60097392  -7.791273386  26.49677098  -7.909862609
## 456   -7.29896773   6.60097392  -7.791273386  26.49677098  -7.909862609
## 457    3.11402010  -2.80666566   4.063308327   0.89429047  24.976050491
## 458    3.11402010  -2.80666566   4.063308327   0.89429047  24.976050491
## 459    3.11402010  -2.80666566   4.063308327   0.89429047  24.976050491
## 460    3.11402010  -2.80666566   4.063308327   0.89429047  24.976050491
## 461    3.11402010  -2.80666566   4.063308327   0.89429047  24.976050491
## 462    3.11402010  -2.80666566   4.063308327   0.89429047  24.976050491
## 463    3.11402010  -2.80666566   4.063308327   0.89429047  24.976050491
## 464    3.11402010  -2.80666566   4.063308327   0.89429047  24.976050491
## 465    5.21765485  -4.09863013   1.319149664  -2.24328252  16.704324854
## 466    5.21765485  -4.09863013   1.319149664  -2.24328252  16.704324854
## 467    5.21765485  -4.09863013   1.319149664  -2.24328252  16.704324854
## 468    5.21765485  -4.09863013   1.319149664  -2.24328252  16.704324854
## 469    5.21765485  -4.09863013   1.319149664  -2.24328252  16.704324854
## 470    5.21765485  -4.09863013   1.319149664  -2.24328252  16.704324854
## 471    5.21765485  -4.09863013   1.319149664  -2.24328252  16.704324854
## 472    5.21765485  -4.09863013   1.319149664  -2.24328252  16.704324854
## 473   -1.94234338   0.39435931   1.105547309   2.33456125  -3.540505954
## 474   -1.94234338   0.39435931   1.105547309   2.33456125  -3.540505954
## 475   -1.94234338   0.39435931   1.105547309   2.33456125  -3.540505954
## 476   -1.94234338   0.39435931   1.105547309   2.33456125  -3.540505954
## 477   -1.94234338   0.39435931   1.105547309   2.33456125  -3.540505954
## 478   -1.94234338   0.39435931   1.105547309   2.33456125  -3.540505954
## 479   -1.94234338   0.39435931   1.105547309   2.33456125  -3.540505954
## 480   -1.94234338   0.39435931   1.105547309   2.33456125  -3.540505954
## 481    0.58292170   3.75308780  -0.189983791  -2.54566906   2.270321451
## 482    0.58292170   3.75308780  -0.189983791  -2.54566906   2.270321451
## 483    0.58292170   3.75308780  -0.189983791  -2.54566906   2.270321451
## 484    0.58292170   3.75308780  -0.189983791  -2.54566906   2.270321451
## 485    0.58292170   3.75308780  -0.189983791  -2.54566906   2.270321451
## 486    0.58292170   3.75308780  -0.189983791  -2.54566906   2.270321451
## 487    0.58292170   3.75308780  -0.189983791  -2.54566906   2.270321451
## 488    0.58292170   3.75308780  -0.189983791  -2.54566906   2.270321451
## 489    0.23147290  -4.20537005  -1.035098868  -1.76808573   0.189961041
## 490    0.23147290  -4.20537005  -1.035098868  -1.76808573   0.189961041
## 491    0.23147290  -4.20537005  -1.035098868  -1.76808573   0.189961041
## 492    0.23147290  -4.20537005  -1.035098868  -1.76808573   0.189961041
## 493    0.23147290  -4.20537005  -1.035098868  -1.76808573   0.189961041
## 494    0.23147290  -4.20537005  -1.035098868  -1.76808573   0.189961041
## 495    0.23147290  -4.20537005  -1.035098868  -1.76808573   0.189961041
## 496    0.23147290  -4.20537005  -1.035098868  -1.76808573   0.189961041
## 497   -0.12275985  -4.88358007  -2.218578120  45.13641848 -14.806015275
## 498   -0.12275985  -4.88358007  -2.218578120  45.13641848 -14.806015275
## 499   -0.12275985  -4.88358007  -2.218578120  45.13641848 -14.806015275
## 500   -0.12275985  -4.88358007  -2.218578120  45.13641848 -14.806015275
## 501   -0.12275985  -4.88358007  -2.218578120  45.13641848 -14.806015275
## 502   -0.12275985  -4.88358007  -2.218578120  45.13641848 -14.806015275
## 503   -0.12275985  -4.88358007  -2.218578120  45.13641848 -14.806015275
## 504   -0.12275985  -4.88358007  -2.218578120  45.13641848 -14.806015275
## 505    1.26672781   7.64550103   1.338216835   4.35960209   4.558752807
## 506    1.26672781   7.64550103   1.338216835   4.35960209   4.558752807
## 507    1.26672781   7.64550103   1.338216835   4.35960209   4.558752807
## 508    1.26672781   7.64550103   1.338216835   4.35960209   4.558752807
## 509    1.26672781   7.64550103   1.338216835   4.35960209   4.558752807
## 510    1.26672781   7.64550103   1.338216835   4.35960209   4.558752807
## 511    1.26672781   7.64550103   1.338216835   4.35960209   4.558752807
## 512    1.26672781   7.64550103   1.338216835   4.35960209   4.558752807
## 513    3.31000578  18.54222830   0.793876170  -1.73062418  -6.972210069
## 514    3.31000578  18.54222830   0.793876170  -1.73062418  -6.972210069
## 515    3.31000578  18.54222830   0.793876170  -1.73062418  -6.972210069
## 516    3.31000578  18.54222830   0.793876170  -1.73062418  -6.972210069
## 517    3.31000578  18.54222830   0.793876170  -1.73062418  -6.972210069
## 518    3.31000578  18.54222830   0.793876170  -1.73062418  -6.972210069
## 519    3.31000578  18.54222830   0.793876170  -1.73062418  -6.972210069
## 520    3.31000578  18.54222830   0.793876170  -1.73062418  -6.972210069
## 521   -4.01667117  16.85178773  -4.511061885  -9.80063428   4.118355223
## 522   -4.01667117  16.85178773  -4.511061885  -9.80063428   4.118355223
## 523   -4.01667117  16.85178773  -4.511061885  -9.80063428   4.118355223
## 524   -4.01667117  16.85178773  -4.511061885  -9.80063428   4.118355223
## 525   -4.01667117  16.85178773  -4.511061885  -9.80063428   4.118355223
## 526   -4.01667117  16.85178773  -4.511061885  -9.80063428   4.118355223
## 527   -4.01667117  16.85178773  -4.511061885  -9.80063428   4.118355223
## 528   -4.01667117  16.85178773  -4.511061885  -9.80063428   4.118355223
## 529   -2.02099233   0.55233069  -2.210585855   0.71060429  -2.307021284
## 530   -2.02099233   0.55233069  -2.210585855   0.71060429  -2.307021284
## 531   -2.02099233   0.55233069  -2.210585855   0.71060429  -2.307021284
## 532   -2.02099233   0.55233069  -2.210585855   0.71060429  -2.307021284
## 533   -2.02099233   0.55233069  -2.210585855   0.71060429  -2.307021284
## 534   -2.02099233   0.55233069  -2.210585855   0.71060429  -2.307021284
## 535   -2.02099233   0.55233069  -2.210585855   0.71060429  -2.307021284
## 536   -2.02099233   0.55233069  -2.210585855   0.71060429  -2.307021284
## 537    0.79330772  -8.16509901  -6.623426884  -3.10105050 -15.723951952
## 538    0.79330772  -8.16509901  -6.623426884  -3.10105050 -15.723951952
## 539    0.79330772  -8.16509901  -6.623426884  -3.10105050 -15.723951952
## 540    0.79330772  -8.16509901  -6.623426884  -3.10105050 -15.723951952
## 541    0.79330772  -8.16509901  -6.623426884  -3.10105050 -15.723951952
## 542    0.79330772  -8.16509901  -6.623426884  -3.10105050 -15.723951952
## 543    0.79330772  -8.16509901  -6.623426884  -3.10105050 -15.723951952
## 544    0.79330772  -8.16509901  -6.623426884  -3.10105050 -15.723951952
## 545   -8.52730273  -2.61620332  32.846795013   9.90831618   4.120660274
## 546   -8.52730273  -2.61620332  32.846795013   9.90831618   4.120660274
## 547   -8.52730273  -2.61620332  32.846795013   9.90831618   4.120660274
## 548   -8.52730273  -2.61620332  32.846795013   9.90831618   4.120660274
## 549   -8.52730273  -2.61620332  32.846795013   9.90831618   4.120660274
## 550   -8.52730273  -2.61620332  32.846795013   9.90831618   4.120660274
## 551   -8.52730273  -2.61620332  32.846795013   9.90831618   4.120660274
## 552   -8.52730273  -2.61620332  32.846795013   9.90831618   4.120660274
## 553    0.08606777  -8.15611516  -1.709298119   2.78762433   0.609975726
## 554    0.08606777  -8.15611516  -1.709298119   2.78762433   0.609975726
## 555    0.08606777  -8.15611516  -1.709298119   2.78762433   0.609975726
## 556    0.08606777  -8.15611516  -1.709298119   2.78762433   0.609975726
## 557    0.08606777  -8.15611516  -1.709298119   2.78762433   0.609975726
## 558    0.08606777  -8.15611516  -1.709298119   2.78762433   0.609975726
## 559    0.08606777  -8.15611516  -1.709298119   2.78762433   0.609975726
## 560    0.08606777  -8.15611516  -1.709298119   2.78762433   0.609975726
## 561   19.09870142  -0.77731440   2.400644351  -3.14438141 -28.226202161
## 562   19.09870142  -0.77731440   2.400644351  -3.14438141 -28.226202161
## 563   19.09870142  -0.77731440   2.400644351  -3.14438141 -28.226202161
## 564   19.09870142  -0.77731440   2.400644351  -3.14438141 -28.226202161
## 565   19.09870142  -0.77731440   2.400644351  -3.14438141 -28.226202161
## 566   19.09870142  -0.77731440   2.400644351  -3.14438141 -28.226202161
## 567   19.09870142  -0.77731440   2.400644351  -3.14438141 -28.226202161
## 568   19.09870142  -0.77731440   2.400644351  -3.14438141 -28.226202161
## 569   -4.57584263  -3.29463081 -62.534503805  -1.21263054  -4.185646342
## 570   -4.57584263  -3.29463081 -62.534503805  -1.21263054  -4.185646342
## 571   -4.57584263  -3.29463081 -62.534503805  -1.21263054  -4.185646342
## 572   -4.57584263  -3.29463081 -62.534503805  -1.21263054  -4.185646342
## 573   -4.57584263  -3.29463081 -62.534503805  -1.21263054  -4.185646342
## 574   -4.57584263  -3.29463081 -62.534503805  -1.21263054  -4.185646342
## 575   -4.57584263  -3.29463081 -62.534503805  -1.21263054  -4.185646342
## 576   -4.57584263  -3.29463081 -62.534503805  -1.21263054  -4.185646342
## 577   -7.58081365   0.16500549   4.513614666 -13.56782288 -15.601792604
## 578   -7.58081365   0.16500549   4.513614666 -13.56782288 -15.601792604
## 579   -7.58081365   0.16500549   4.513614666 -13.56782288 -15.601792604
## 580   -7.58081365   0.16500549   4.513614666 -13.56782288 -15.601792604
## 581   -7.58081365   0.16500549   4.513614666 -13.56782288 -15.601792604
## 582   -7.58081365   0.16500549   4.513614666 -13.56782288 -15.601792604
## 583   -7.58081365   0.16500549   4.513614666 -13.56782288 -15.601792604
## 584   -7.58081365   0.16500549   4.513614666 -13.56782288 -15.601792604
## 585    5.13550253  -0.24508941   0.706295436  -2.08862762   2.633321331
## 586    5.13550253  -0.24508941   0.706295436  -2.08862762   2.633321331
## 587    5.13550253  -0.24508941   0.706295436  -2.08862762   2.633321331
## 588    5.13550253  -0.24508941   0.706295436  -2.08862762   2.633321331
## 589    5.13550253  -0.24508941   0.706295436  -2.08862762   2.633321331
## 590    5.13550253  -0.24508941   0.706295436  -2.08862762   2.633321331
## 591    5.13550253  -0.24508941   0.706295436  -2.08862762   2.633321331
## 592    5.13550253  -0.24508941   0.706295436  -2.08862762   2.633321331
## 593    1.98979471  -5.40586129  -0.151487750  -0.81390325   0.915169396
## 594    1.98979471  -5.40586129  -0.151487750  -0.81390325   0.915169396
## 595    1.98979471  -5.40586129  -0.151487750  -0.81390325   0.915169396
## 596    1.98979471  -5.40586129  -0.151487750  -0.81390325   0.915169396
## 597    1.98979471  -5.40586129  -0.151487750  -0.81390325   0.915169396
## 598    1.98979471  -5.40586129  -0.151487750  -0.81390325   0.915169396
## 599    1.98979471  -5.40586129  -0.151487750  -0.81390325   0.915169396
## 600    1.98979471  -5.40586129  -0.151487750  -0.81390325   0.915169396
## 601  -14.25764742   2.24000814  -7.731661211  45.62184455  -0.634480003
## 602  -14.25764742   2.24000814  -7.731661211  45.62184455  -0.634480003
## 603  -14.25764742   2.24000814  -7.731661211  45.62184455  -0.634480003
## 604  -14.25764742   2.24000814  -7.731661211  45.62184455  -0.634480003
## 605  -14.25764742   2.24000814  -7.731661211  45.62184455  -0.634480003
## 606  -14.25764742   2.24000814  -7.731661211  45.62184455  -0.634480003
## 607  -14.25764742   2.24000814  -7.731661211  45.62184455  -0.634480003
## 608  -14.25764742   2.24000814  -7.731661211  45.62184455  -0.634480003
## 609   -3.87264857  -2.80216121  -3.843182101 -22.21188151   6.558039179
## 610   -3.87264857  -2.80216121  -3.843182101 -22.21188151   6.558039179
## 611   -3.87264857  -2.80216121  -3.843182101 -22.21188151   6.558039179
## 612   -3.87264857  -2.80216121  -3.843182101 -22.21188151   6.558039179
## 613   -3.87264857  -2.80216121  -3.843182101 -22.21188151   6.558039179
## 614   -3.87264857  -2.80216121  -3.843182101 -22.21188151   6.558039179
## 615   -3.87264857  -2.80216121  -3.843182101 -22.21188151   6.558039179
## 616   -3.87264857  -2.80216121  -3.843182101 -22.21188151   6.558039179
## 617    1.13546080   8.70826695  -3.965917221  -1.57919122  22.431481936
## 618    1.13546080   8.70826695  -3.965917221  -1.57919122  22.431481936
## 619    1.13546080   8.70826695  -3.965917221  -1.57919122  22.431481936
## 620    1.13546080   8.70826695  -3.965917221  -1.57919122  22.431481936
## 621    1.13546080   8.70826695  -3.965917221  -1.57919122  22.431481936
## 622    1.13546080   8.70826695  -3.965917221  -1.57919122  22.431481936
## 623    1.13546080   8.70826695  -3.965917221  -1.57919122  22.431481936
## 624    1.13546080   8.70826695  -3.965917221  -1.57919122  22.431481936
## 625    2.13323222 -14.74344061   1.939017954  -9.24602617   4.625686780
## 626    2.13323222 -14.74344061   1.939017954  -9.24602617   4.625686780
## 627    2.13323222 -14.74344061   1.939017954  -9.24602617   4.625686780
## 628    2.13323222 -14.74344061   1.939017954  -9.24602617   4.625686780
## 629    2.13323222 -14.74344061   1.939017954  -9.24602617   4.625686780
## 630    2.13323222 -14.74344061   1.939017954  -9.24602617   4.625686780
## 631    2.13323222 -14.74344061   1.939017954  -9.24602617   4.625686780
## 632    2.13323222 -14.74344061   1.939017954  -9.24602617   4.625686780
## 633   24.58054128  -1.76478372  -0.006847018  14.85555515 -13.997392447
## 634   24.58054128  -1.76478372  -0.006847018  14.85555515 -13.997392447
## 635   24.58054128  -1.76478372  -0.006847018  14.85555515 -13.997392447
## 636   24.58054128  -1.76478372  -0.006847018  14.85555515 -13.997392447
## 637   24.58054128  -1.76478372  -0.006847018  14.85555515 -13.997392447
## 638   24.58054128  -1.76478372  -0.006847018  14.85555515 -13.997392447
## 639   24.58054128  -1.76478372  -0.006847018  14.85555515 -13.997392447
## 640   24.58054128  -1.76478372  -0.006847018  14.85555515 -13.997392447
## 641    1.84598010   3.38232580   1.754945626   1.48592160  -2.564983004
## 642    1.84598010   3.38232580   1.754945626   1.48592160  -2.564983004
## 643    1.84598010   3.38232580   1.754945626   1.48592160  -2.564983004
## 644    1.84598010   3.38232580   1.754945626   1.48592160  -2.564983004
## 645    1.84598010   3.38232580   1.754945626   1.48592160  -2.564983004
## 646    1.84598010   3.38232580   1.754945626   1.48592160  -2.564983004
## 647    1.84598010   3.38232580   1.754945626   1.48592160  -2.564983004
## 648    1.84598010   3.38232580   1.754945626   1.48592160  -2.564983004
## 649    1.37645263   0.37858917   5.761690366   3.10625646 -27.476099814
## 650    1.37645263   0.37858917   5.761690366   3.10625646 -27.476099814
## 651    1.37645263   0.37858917   5.761690366   3.10625646 -27.476099814
## 652    1.37645263   0.37858917   5.761690366   3.10625646 -27.476099814
## 653    1.37645263   0.37858917   5.761690366   3.10625646 -27.476099814
## 654    1.37645263   0.37858917   5.761690366   3.10625646 -27.476099814
## 655    1.37645263   0.37858917   5.761690366   3.10625646 -27.476099814
## 656    1.37645263   0.37858917   5.761690366   3.10625646 -27.476099814
## 657    1.29225166 -29.13120644  -0.612729800  -5.65194615   4.829643333
## 658    1.29225166 -29.13120644  -0.612729800  -5.65194615   4.829643333
## 659    1.29225166 -29.13120644  -0.612729800  -5.65194615   4.829643333
## 660    1.29225166 -29.13120644  -0.612729800  -5.65194615   4.829643333
## 661    1.29225166 -29.13120644  -0.612729800  -5.65194615   4.829643333
## 662    1.29225166 -29.13120644  -0.612729800  -5.65194615   4.829643333
## 663    1.29225166 -29.13120644  -0.612729800  -5.65194615   4.829643333
## 664    1.29225166 -29.13120644  -0.612729800  -5.65194615   4.829643333
## 665    0.82007177  22.07151850   0.728088008   1.07575217   0.615915574
## 666    0.82007177  22.07151850   0.728088008   1.07575217   0.615915574
## 667    0.82007177  22.07151850   0.728088008   1.07575217   0.615915574
## 668    0.82007177  22.07151850   0.728088008   1.07575217   0.615915574
## 669    0.82007177  22.07151850   0.728088008   1.07575217   0.615915574
## 670    0.82007177  22.07151850   0.728088008   1.07575217   0.615915574
## 671    0.82007177  22.07151850   0.728088008   1.07575217   0.615915574
## 672    0.82007177  22.07151850   0.728088008   1.07575217   0.615915574
## 673   11.59038435   5.02762404  -3.906637543  14.77668393   7.856721325
## 674   11.59038435   5.02762404  -3.906637543  14.77668393   7.856721325
## 675   11.59038435   5.02762404  -3.906637543  14.77668393   7.856721325
## 676   11.59038435   5.02762404  -3.906637543  14.77668393   7.856721325
## 677   11.59038435   5.02762404  -3.906637543  14.77668393   7.856721325
## 678   11.59038435   5.02762404  -3.906637543  14.77668393   7.856721325
## 679   11.59038435   5.02762404  -3.906637543  14.77668393   7.856721325
## 680   11.59038435   5.02762404  -3.906637543  14.77668393   7.856721325
## 681   -3.30658641 -25.26696156  -1.954499961  -4.66075325  -6.923091815
## 682   -3.30658641 -25.26696156  -1.954499961  -4.66075325  -6.923091815
## 683   -3.30658641 -25.26696156  -1.954499961  -4.66075325  -6.923091815
## 684   -3.30658641 -25.26696156  -1.954499961  -4.66075325  -6.923091815
## 685   -3.30658641 -25.26696156  -1.954499961  -4.66075325  -6.923091815
## 686   -3.30658641 -25.26696156  -1.954499961  -4.66075325  -6.923091815
## 687   -3.30658641 -25.26696156  -1.954499961  -4.66075325  -6.923091815
## 688   -3.30658641 -25.26696156  -1.954499961  -4.66075325  -6.923091815
## 689   21.66453856   0.99165866  -2.121696388  -1.37604081   2.980470140
## 690   21.66453856   0.99165866  -2.121696388  -1.37604081   2.980470140
## 691   21.66453856   0.99165866  -2.121696388  -1.37604081   2.980470140
## 692   21.66453856   0.99165866  -2.121696388  -1.37604081   2.980470140
## 693   21.66453856   0.99165866  -2.121696388  -1.37604081   2.980470140
## 694   21.66453856   0.99165866  -2.121696388  -1.37604081   2.980470140
## 695   21.66453856   0.99165866  -2.121696388  -1.37604081   2.980470140
## 696   21.66453856   0.99165866  -2.121696388  -1.37604081   2.980470140
## 697   -1.64571107  21.12604341   0.656356624  -3.57856359  -0.762127734
## 698   -1.64571107  21.12604341   0.656356624  -3.57856359  -0.762127734
## 699   -1.64571107  21.12604341   0.656356624  -3.57856359  -0.762127734
## 700   -1.64571107  21.12604341   0.656356624  -3.57856359  -0.762127734
## 701   -1.64571107  21.12604341   0.656356624  -3.57856359  -0.762127734
## 702   -1.64571107  21.12604341   0.656356624  -3.57856359  -0.762127734
## 703   -1.64571107  21.12604341   0.656356624  -3.57856359  -0.762127734
## 704   -1.64571107  21.12604341   0.656356624  -3.57856359  -0.762127734
## 705   -2.14922061  -0.58150633 -31.220495766   0.26380766  -2.874663814
## 706   -2.14922061  -0.58150633 -31.220495766   0.26380766  -2.874663814
## 707   -2.14922061  -0.58150633 -31.220495766   0.26380766  -2.874663814
## 708   -2.14922061  -0.58150633 -31.220495766   0.26380766  -2.874663814
## 709   -2.14922061  -0.58150633 -31.220495766   0.26380766  -2.874663814
## 710   -2.14922061  -0.58150633 -31.220495766   0.26380766  -2.874663814
## 711   -2.14922061  -0.58150633 -31.220495766   0.26380766  -2.874663814
## 712   -2.14922061  -0.58150633 -31.220495766   0.26380766  -2.874663814
## 713    7.54029578   0.62324824  10.414809091  16.95197379  -3.091811923
## 714    7.54029578   0.62324824  10.414809091  16.95197379  -3.091811923
## 715    7.54029578   0.62324824  10.414809091  16.95197379  -3.091811923
## 716    7.54029578   0.62324824  10.414809091  16.95197379  -3.091811923
## 717    7.54029578   0.62324824  10.414809091  16.95197379  -3.091811923
## 718    7.54029578   0.62324824  10.414809091  16.95197379  -3.091811923
## 719    7.54029578   0.62324824  10.414809091  16.95197379  -3.091811923
## 720    7.54029578   0.62324824  10.414809091  16.95197379  -3.091811923
## 721    0.14760818   6.11338075  -1.459738857  14.72632127  15.458776208
## 722    0.14760818   6.11338075  -1.459738857  14.72632127  15.458776208
## 723    0.14760818   6.11338075  -1.459738857  14.72632127  15.458776208
## 724    0.14760818   6.11338075  -1.459738857  14.72632127  15.458776208
## 725    0.14760818   6.11338075  -1.459738857  14.72632127  15.458776208
## 726    0.14760818   6.11338075  -1.459738857  14.72632127  15.458776208
## 727    0.14760818   6.11338075  -1.459738857  14.72632127  15.458776208
## 728    0.14760818   6.11338075  -1.459738857  14.72632127  15.458776208
## 729    1.84867040   3.45371709   2.470182595   0.14102342   0.874178659
## 730    1.84867040   3.45371709   2.470182595   0.14102342   0.874178659
## 731    1.84867040   3.45371709   2.470182595   0.14102342   0.874178659
## 732    1.84867040   3.45371709   2.470182595   0.14102342   0.874178659
## 733    1.84867040   3.45371709   2.470182595   0.14102342   0.874178659
## 734    1.84867040   3.45371709   2.470182595   0.14102342   0.874178659
## 735    1.84867040   3.45371709   2.470182595   0.14102342   0.874178659
## 736    1.84867040   3.45371709   2.470182595   0.14102342   0.874178659
## 737    6.31963667   0.89181000  -7.449731862  19.22731123  14.072820012
## 738    6.31963667   0.89181000  -7.449731862  19.22731123  14.072820012
## 739    6.31963667   0.89181000  -7.449731862  19.22731123  14.072820012
## 740    6.31963667   0.89181000  -7.449731862  19.22731123  14.072820012
## 741    6.31963667   0.89181000  -7.449731862  19.22731123  14.072820012
## 742    6.31963667   0.89181000  -7.449731862  19.22731123  14.072820012
## 743    6.31963667   0.89181000  -7.449731862  19.22731123  14.072820012
## 744    6.31963667   0.89181000  -7.449731862  19.22731123  14.072820012
## 745  -23.26980226  -2.48056934  -1.271109455  26.03350429  34.630936175
## 746  -23.26980226  -2.48056934  -1.271109455  26.03350429  34.630936175
## 747  -23.26980226  -2.48056934  -1.271109455  26.03350429  34.630936175
## 748  -23.26980226  -2.48056934  -1.271109455  26.03350429  34.630936175
## 749  -23.26980226  -2.48056934  -1.271109455  26.03350429  34.630936175
## 750  -23.26980226  -2.48056934  -1.271109455  26.03350429  34.630936175
## 751  -23.26980226  -2.48056934  -1.271109455  26.03350429  34.630936175
## 752  -23.26980226  -2.48056934  -1.271109455  26.03350429  34.630936175
## 753    0.27683093 -10.21890369  -0.743794436 -19.16908040  11.256877816
## 754    0.27683093 -10.21890369  -0.743794436 -19.16908040  11.256877816
## 755    0.27683093 -10.21890369  -0.743794436 -19.16908040  11.256877816
## 756    0.27683093 -10.21890369  -0.743794436 -19.16908040  11.256877816
## 757    0.27683093 -10.21890369  -0.743794436 -19.16908040  11.256877816
## 758    0.27683093 -10.21890369  -0.743794436 -19.16908040  11.256877816
## 759    0.27683093 -10.21890369  -0.743794436 -19.16908040  11.256877816
## 760    0.27683093 -10.21890369  -0.743794436 -19.16908040  11.256877816
## 761  -11.71349852  -5.92548637   6.232123740   0.23714203 -10.670850723
## 762  -11.71349852  -5.92548637   6.232123740   0.23714203 -10.670850723
## 763  -11.71349852  -5.92548637   6.232123740   0.23714203 -10.670850723
## 764  -11.71349852  -5.92548637   6.232123740   0.23714203 -10.670850723
## 765  -11.71349852  -5.92548637   6.232123740   0.23714203 -10.670850723
## 766  -11.71349852  -5.92548637   6.232123740   0.23714203 -10.670850723
## 767  -11.71349852  -5.92548637   6.232123740   0.23714203 -10.670850723
## 768  -11.71349852  -5.92548637   6.232123740   0.23714203 -10.670850723
## 769   54.38676206  -4.18574047  -1.916319189 -37.37057176   4.842555428
## 770   54.38676206  -4.18574047  -1.916319189 -37.37057176   4.842555428
## 771   54.38676206  -4.18574047  -1.916319189 -37.37057176   4.842555428
## 772   54.38676206  -4.18574047  -1.916319189 -37.37057176   4.842555428
## 773   54.38676206  -4.18574047  -1.916319189 -37.37057176   4.842555428
## 774   54.38676206  -4.18574047  -1.916319189 -37.37057176   4.842555428
## 775   54.38676206  -4.18574047  -1.916319189 -37.37057176   4.842555428
## 776   54.38676206  -4.18574047  -1.916319189 -37.37057176   4.842555428
## 777   -1.42650586   5.99554234   0.624650219  -4.91709685   6.858390968
## 778   -1.42650586   5.99554234   0.624650219  -4.91709685   6.858390968
## 779   -1.42650586   5.99554234   0.624650219  -4.91709685   6.858390968
## 780   -1.42650586   5.99554234   0.624650219  -4.91709685   6.858390968
## 781   -1.42650586   5.99554234   0.624650219  -4.91709685   6.858390968
## 782   -1.42650586   5.99554234   0.624650219  -4.91709685   6.858390968
## 783   -1.42650586   5.99554234   0.624650219  -4.91709685   6.858390968
## 784   -1.42650586   5.99554234   0.624650219  -4.91709685   6.858390968
## 785    0.47303320   0.16169884  -0.697738790  -1.81037489   3.395473546
## 786    0.47303320   0.16169884  -0.697738790  -1.81037489   3.395473546
## 787    0.47303320   0.16169884  -0.697738790  -1.81037489   3.395473546
## 788    0.47303320   0.16169884  -0.697738790  -1.81037489   3.395473546
## 789    0.47303320   0.16169884  -0.697738790  -1.81037489   3.395473546
## 790    0.47303320   0.16169884  -0.697738790  -1.81037489   3.395473546
## 791    0.47303320   0.16169884  -0.697738790  -1.81037489   3.395473546
## 792    0.47303320   0.16169884  -0.697738790  -1.81037489   3.395473546
## 793    0.96589556 -14.73299314   0.234596133  -4.00056992  -1.106325841
## 794    0.96589556 -14.73299314   0.234596133  -4.00056992  -1.106325841
## 795    0.96589556 -14.73299314   0.234596133  -4.00056992  -1.106325841
## 796    0.96589556 -14.73299314   0.234596133  -4.00056992  -1.106325841
## 797    0.96589556 -14.73299314   0.234596133  -4.00056992  -1.106325841
## 798    0.96589556 -14.73299314   0.234596133  -4.00056992  -1.106325841
## 799    0.96589556 -14.73299314   0.234596133  -4.00056992  -1.106325841
## 800    0.96589556 -14.73299314   0.234596133  -4.00056992  -1.106325841
## 801   18.05658340   1.54801014   7.888020623  33.46635871  10.485541319
## 802   18.05658340   1.54801014   7.888020623  33.46635871  10.485541319
## 803   18.05658340   1.54801014   7.888020623  33.46635871  10.485541319
## 804   18.05658340   1.54801014   7.888020623  33.46635871  10.485541319
## 805   18.05658340   1.54801014   7.888020623  33.46635871  10.485541319
## 806   18.05658340   1.54801014   7.888020623  33.46635871  10.485541319
## 807   18.05658340   1.54801014   7.888020623  33.46635871  10.485541319
## 808   18.05658340   1.54801014   7.888020623  33.46635871  10.485541319
## 809  -10.68720911   8.94578760   5.245805044  -4.39820972 -16.802056997
## 810  -10.68720911   8.94578760   5.245805044  -4.39820972 -16.802056997
## 811  -10.68720911   8.94578760   5.245805044  -4.39820972 -16.802056997
## 812  -10.68720911   8.94578760   5.245805044  -4.39820972 -16.802056997
## 813  -10.68720911   8.94578760   5.245805044  -4.39820972 -16.802056997
## 814  -10.68720911   8.94578760   5.245805044  -4.39820972 -16.802056997
## 815  -10.68720911   8.94578760   5.245805044  -4.39820972 -16.802056997
## 816  -10.68720911   8.94578760   5.245805044  -4.39820972 -16.802056997
## 817    2.77204205   0.81999834 -19.722788956  -1.54791515   1.311764608
## 818    2.77204205   0.81999834 -19.722788956  -1.54791515   1.311764608
## 819    2.77204205   0.81999834 -19.722788956  -1.54791515   1.311764608
## 820    2.77204205   0.81999834 -19.722788956  -1.54791515   1.311764608
## 821    2.77204205   0.81999834 -19.722788956  -1.54791515   1.311764608
## 822    2.77204205   0.81999834 -19.722788956  -1.54791515   1.311764608
## 823    2.77204205   0.81999834 -19.722788956  -1.54791515   1.311764608
## 824    2.77204205   0.81999834 -19.722788956  -1.54791515   1.311764608
## 825    0.77039047 -13.92676313   1.041323026   0.41395107  -5.551172767
## 826    0.77039047 -13.92676313   1.041323026   0.41395107  -5.551172767
## 827    0.77039047 -13.92676313   1.041323026   0.41395107  -5.551172767
## 828    0.77039047 -13.92676313   1.041323026   0.41395107  -5.551172767
## 829    0.77039047 -13.92676313   1.041323026   0.41395107  -5.551172767
## 830    0.77039047 -13.92676313   1.041323026   0.41395107  -5.551172767
## 831    0.77039047 -13.92676313   1.041323026   0.41395107  -5.551172767
## 832    0.77039047 -13.92676313   1.041323026   0.41395107  -5.551172767
## 833  -20.50607396   3.94847556  -4.772605481 -35.98789052 -10.468982091
## 834  -20.50607396   3.94847556  -4.772605481 -35.98789052 -10.468982091
## 835  -20.50607396   3.94847556  -4.772605481 -35.98789052 -10.468982091
## 836  -20.50607396   3.94847556  -4.772605481 -35.98789052 -10.468982091
## 837  -20.50607396   3.94847556  -4.772605481 -35.98789052 -10.468982091
## 838  -20.50607396   3.94847556  -4.772605481 -35.98789052 -10.468982091
## 839  -20.50607396   3.94847556  -4.772605481 -35.98789052 -10.468982091
## 840  -20.50607396   3.94847556  -4.772605481 -35.98789052 -10.468982091
## 841   -1.22206315   5.39795021   2.535487580  -0.82960949  -2.934256261
## 842   -1.22206315   5.39795021   2.535487580  -0.82960949  -2.934256261
## 843   -1.22206315   5.39795021   2.535487580  -0.82960949  -2.934256261
## 844   -1.22206315   5.39795021   2.535487580  -0.82960949  -2.934256261
## 845   -1.22206315   5.39795021   2.535487580  -0.82960949  -2.934256261
## 846   -1.22206315   5.39795021   2.535487580  -0.82960949  -2.934256261
## 847   -1.22206315   5.39795021   2.535487580  -0.82960949  -2.934256261
## 848   -1.22206315   5.39795021   2.535487580  -0.82960949  -2.934256261
## 849    2.32223436  -1.02396257  -0.245856226   1.73711897   8.871770392
## 850    2.32223436  -1.02396257  -0.245856226   1.73711897   8.871770392
## 851    2.32223436  -1.02396257  -0.245856226   1.73711897   8.871770392
## 852    2.32223436  -1.02396257  -0.245856226   1.73711897   8.871770392
## 853    2.32223436  -1.02396257  -0.245856226   1.73711897   8.871770392
## 854    2.32223436  -1.02396257  -0.245856226   1.73711897   8.871770392
## 855    2.32223436  -1.02396257  -0.245856226   1.73711897   8.871770392
## 856    2.32223436  -1.02396257  -0.245856226   1.73711897   8.871770392
## 857    1.28647468  39.50434061  -2.183775773  -5.18893693  -2.119673952
## 858    1.28647468  39.50434061  -2.183775773  -5.18893693  -2.119673952
## 859    1.28647468  39.50434061  -2.183775773  -5.18893693  -2.119673952
## 860    1.28647468  39.50434061  -2.183775773  -5.18893693  -2.119673952
## 861    1.28647468  39.50434061  -2.183775773  -5.18893693  -2.119673952
## 862    1.28647468  39.50434061  -2.183775773  -5.18893693  -2.119673952
## 863    1.28647468  39.50434061  -2.183775773  -5.18893693  -2.119673952
## 864    1.28647468  39.50434061  -2.183775773  -5.18893693  -2.119673952
## 865   -1.23009684   1.42794280  -1.915627569   0.39418966  -1.067359594
## 866   -1.23009684   1.42794280  -1.915627569   0.39418966  -1.067359594
## 867   -1.23009684   1.42794280  -1.915627569   0.39418966  -1.067359594
## 868   -1.23009684   1.42794280  -1.915627569   0.39418966  -1.067359594
## 869   -1.23009684   1.42794280  -1.915627569   0.39418966  -1.067359594
## 870   -1.23009684   1.42794280  -1.915627569   0.39418966  -1.067359594
## 871   -1.23009684   1.42794280  -1.915627569   0.39418966  -1.067359594
## 872   -1.23009684   1.42794280  -1.915627569   0.39418966  -1.067359594
## 873   -3.27725236   8.74968907   1.618855785   3.69047181   1.992976545
## 874   -3.27725236   8.74968907   1.618855785   3.69047181   1.992976545
## 875   -3.27725236   8.74968907   1.618855785   3.69047181   1.992976545
## 876   -3.27725236   8.74968907   1.618855785   3.69047181   1.992976545
## 877   -3.27725236   8.74968907   1.618855785   3.69047181   1.992976545
## 878   -3.27725236   8.74968907   1.618855785   3.69047181   1.992976545
## 879   -3.27725236   8.74968907   1.618855785   3.69047181   1.992976545
## 880   -3.27725236   8.74968907   1.618855785   3.69047181   1.992976545
## 881    7.60632875   3.41149030   6.497916078  12.49857274  -3.699825038
## 882    7.60632875   3.41149030   6.497916078  12.49857274  -3.699825038
## 883    7.60632875   3.41149030   6.497916078  12.49857274  -3.699825038
## 884    7.60632875   3.41149030   6.497916078  12.49857274  -3.699825038
## 885    7.60632875   3.41149030   6.497916078  12.49857274  -3.699825038
## 886    7.60632875   3.41149030   6.497916078  12.49857274  -3.699825038
## 887    7.60632875   3.41149030   6.497916078  12.49857274  -3.699825038
## 888    7.60632875   3.41149030   6.497916078  12.49857274  -3.699825038
## 889   -1.15110753   5.19432116  -1.252283365   6.99762383  30.838752978
## 890   -1.15110753   5.19432116  -1.252283365   6.99762383  30.838752978
## 891   -1.15110753   5.19432116  -1.252283365   6.99762383  30.838752978
## 892   -1.15110753   5.19432116  -1.252283365   6.99762383  30.838752978
## 893   -1.15110753   5.19432116  -1.252283365   6.99762383  30.838752978
## 894   -1.15110753   5.19432116  -1.252283365   6.99762383  30.838752978
## 895   -1.15110753   5.19432116  -1.252283365   6.99762383  30.838752978
## 896   -1.15110753   5.19432116  -1.252283365   6.99762383  30.838752978
## 897   -2.71427914  -8.70471481   0.210902552  -0.47643675  -1.901068062
## 898   -2.71427914  -8.70471481   0.210902552  -0.47643675  -1.901068062
## 899   -2.71427914  -8.70471481   0.210902552  -0.47643675  -1.901068062
## 900   -2.71427914  -8.70471481   0.210902552  -0.47643675  -1.901068062
## 901   -2.71427914  -8.70471481   0.210902552  -0.47643675  -1.901068062
## 902   -2.71427914  -8.70471481   0.210902552  -0.47643675  -1.901068062
## 903   -2.71427914  -8.70471481   0.210902552  -0.47643675  -1.901068062
## 904   -2.71427914  -8.70471481   0.210902552  -0.47643675  -1.901068062
## 905   -5.41075439   1.72002954  -4.946186681  -4.36363873 -19.098646636
## 906   -5.41075439   1.72002954  -4.946186681  -4.36363873 -19.098646636
## 907   -5.41075439   1.72002954  -4.946186681  -4.36363873 -19.098646636
## 908   -5.41075439   1.72002954  -4.946186681  -4.36363873 -19.098646636
## 909   -5.41075439   1.72002954  -4.946186681  -4.36363873 -19.098646636
## 910   -5.41075439   1.72002954  -4.946186681  -4.36363873 -19.098646636
## 911   -5.41075439   1.72002954  -4.946186681  -4.36363873 -19.098646636
## 912   -5.41075439   1.72002954  -4.946186681  -4.36363873 -19.098646636
## 913    0.65383512  -1.09746148  -1.050411986  -0.10685909  -2.923931395
## 914    0.65383512  -1.09746148  -1.050411986  -0.10685909  -2.923931395
## 915    0.65383512  -1.09746148  -1.050411986  -0.10685909  -2.923931395
## 916    0.65383512  -1.09746148  -1.050411986  -0.10685909  -2.923931395
## 917    0.65383512  -1.09746148  -1.050411986  -0.10685909  -2.923931395
## 918   -6.37082806   1.82254948 -21.603351926  15.52605689  10.279026975
## 919   -6.37082806   1.82254948 -21.603351926  15.52605689  10.279026975
## 920   -6.37082806   1.82254948 -21.603351926  15.52605689  10.279026975
## 921   -6.37082806   1.82254948 -21.603351926  15.52605689  10.279026975
## 922   -6.37082806   1.82254948 -21.603351926  15.52605689  10.279026975
## 923            NA           NA            NA           NA            NA
## 924            NA           NA            NA           NA            NA
## 925            NA           NA            NA           NA            NA
## 926            NA           NA            NA           NA            NA
## 927            NA           NA            NA           NA            NA
## 928            NA           NA            NA           NA            NA
## 929            NA           NA            NA           NA            NA
## 930            NA           NA            NA           NA            NA
## 931            NA           NA            NA           NA            NA
## 932            NA           NA            NA           NA            NA
## 933            NA           NA            NA           NA            NA
## 934            NA           NA            NA           NA            NA
## 935            NA           NA            NA           NA            NA
## 936            NA           NA            NA           NA            NA
## 937            NA           NA            NA           NA            NA
## 938  -10.95378745  10.95844608   8.690161759  19.95835534  18.433302873
## 939  -10.95378745  10.95844608   8.690161759  19.95835534  18.433302873
## 940  -10.95378745  10.95844608   8.690161759  19.95835534  18.433302873
## 941  -10.95378745  10.95844608   8.690161759  19.95835534  18.433302873
## 942  -10.95378745  10.95844608   8.690161759  19.95835534  18.433302873
## 943            NA           NA            NA           NA            NA
## 944            NA           NA            NA           NA            NA
## 945            NA           NA            NA           NA            NA
## 946            NA           NA            NA           NA            NA
## 947            NA           NA            NA           NA            NA
## 948            NA           NA            NA           NA            NA
## 949            NA           NA            NA           NA            NA
## 950            NA           NA            NA           NA            NA
## 951            NA           NA            NA           NA            NA
## 952            NA           NA            NA           NA            NA
## 953   -0.06688045   7.96162242  -1.723756432 -15.47983087  30.356624602
## 954   -0.06688045   7.96162242  -1.723756432 -15.47983087  30.356624602
## 955   -0.06688045   7.96162242  -1.723756432 -15.47983087  30.356624602
## 956   -0.06688045   7.96162242  -1.723756432 -15.47983087  30.356624602
## 957   -0.06688045   7.96162242  -1.723756432 -15.47983087  30.356624602
## 958   -8.06697925   3.00204728  63.411148978   9.58024181   5.415595608
## 959   -8.06697925   3.00204728  63.411148978   9.58024181   5.415595608
## 960   -8.06697925   3.00204728  63.411148978   9.58024181   5.415595608
## 961   -8.06697925   3.00204728  63.411148978   9.58024181   5.415595608
## 962   -8.06697925   3.00204728  63.411148978   9.58024181   5.415595608
## 963            NA           NA            NA           NA            NA
## 964            NA           NA            NA           NA            NA
## 965            NA           NA            NA           NA            NA
## 966            NA           NA            NA           NA            NA
## 967            NA           NA            NA           NA            NA
## 968            NA           NA            NA           NA            NA
## 969            NA           NA            NA           NA            NA
## 970            NA           NA            NA           NA            NA
## 971            NA           NA            NA           NA            NA
## 972            NA           NA            NA           NA            NA
## 973    2.13241304   7.31223669  -2.571741354   1.03667453   0.929837633
## 974    2.13241304   7.31223669  -2.571741354   1.03667453   0.929837633
## 975    2.13241304   7.31223669  -2.571741354   1.03667453   0.929837633
## 976    2.13241304   7.31223669  -2.571741354   1.03667453   0.929837633
## 977    2.13241304   7.31223669  -2.571741354   1.03667453   0.929837633
## 978   -4.90949760 -12.97863343  -3.824221084  -4.28944201  -6.580553549
## 979   -4.90949760 -12.97863343  -3.824221084  -4.28944201  -6.580553549
## 980   -4.90949760 -12.97863343  -3.824221084  -4.28944201  -6.580553549
## 981   -4.90949760 -12.97863343  -3.824221084  -4.28944201  -6.580553549
## 982   -4.90949760 -12.97863343  -3.824221084  -4.28944201  -6.580553549
## 983            NA           NA            NA           NA            NA
## 984            NA           NA            NA           NA            NA
## 985            NA           NA            NA           NA            NA
## 986            NA           NA            NA           NA            NA
## 987            NA           NA            NA           NA            NA
## 988            NA           NA            NA           NA            NA
## 989            NA           NA            NA           NA            NA
## 990            NA           NA            NA           NA            NA
## 991            NA           NA            NA           NA            NA
## 992            NA           NA            NA           NA            NA
## 993    1.48374218  -5.25605349  -1.205903764  -0.76096767  -5.439993589
## 994    1.48374218  -5.25605349  -1.205903764  -0.76096767  -5.439993589
## 995    1.48374218  -5.25605349  -1.205903764  -0.76096767  -5.439993589
## 996    1.48374218  -5.25605349  -1.205903764  -0.76096767  -5.439993589
## 997    1.48374218  -5.25605349  -1.205903764  -0.76096767  -5.439993589
## 998            NA           NA            NA           NA            NA
## 999            NA           NA            NA           NA            NA
## 1000           NA           NA            NA           NA            NA
## 1001           NA           NA            NA           NA            NA
## 1002           NA           NA            NA           NA            NA
## 1003           NA           NA            NA           NA            NA
## 1004           NA           NA            NA           NA            NA
## 1005           NA           NA            NA           NA            NA
## 1006           NA           NA            NA           NA            NA
## 1007           NA           NA            NA           NA            NA
## 1008  -0.03718906  25.49800789  -1.163506111 -10.03037368 -13.673028184
## 1009  -0.03718906  25.49800789  -1.163506111 -10.03037368 -13.673028184
## 1010  -0.03718906  25.49800789  -1.163506111 -10.03037368 -13.673028184
## 1011  -0.03718906  25.49800789  -1.163506111 -10.03037368 -13.673028184
## 1012  -0.03718906  25.49800789  -1.163506111 -10.03037368 -13.673028184
## 1013  -1.05484476  -4.20985267  -2.140713778  -2.65728618  -7.258785552
## 1014  -1.05484476  -4.20985267  -2.140713778  -2.65728618  -7.258785552
## 1015  -1.05484476  -4.20985267  -2.140713778  -2.65728618  -7.258785552
## 1016  -1.05484476  -4.20985267  -2.140713778  -2.65728618  -7.258785552
## 1017  -1.05484476  -4.20985267  -2.140713778  -2.65728618  -7.258785552
## 1018  -3.99234602  18.49946495   2.923937502   0.03530764   0.030775736
## 1019  -3.99234602  18.49946495   2.923937502   0.03530764   0.030775736
## 1020  -3.99234602  18.49946495   2.923937502   0.03530764   0.030775736
## 1021  -3.99234602  18.49946495   2.923937502   0.03530764   0.030775736
## 1022  -3.99234602  18.49946495   2.923937502   0.03530764   0.030775736
## 1023           NA           NA            NA           NA            NA
## 1024           NA           NA            NA           NA            NA
## 1025           NA           NA            NA           NA            NA
## 1026           NA           NA            NA           NA            NA
## 1027           NA           NA            NA           NA            NA
## 1028           NA           NA            NA           NA            NA
## 1029           NA           NA            NA           NA            NA
## 1030           NA           NA            NA           NA            NA
## 1031           NA           NA            NA           NA            NA
## 1032           NA           NA            NA           NA            NA
## 1033   5.89376332  14.40875650  -9.881996541   2.75246990  64.704749921
## 1034   5.89376332  14.40875650  -9.881996541   2.75246990  64.704749921
## 1035   5.89376332  14.40875650  -9.881996541   2.75246990  64.704749921
## 1036   5.89376332  14.40875650  -9.881996541   2.75246990  64.704749921
## 1037   5.89376332  14.40875650  -9.881996541   2.75246990  64.704749921
## 1038           NA           NA            NA           NA            NA
## 1039           NA           NA            NA           NA            NA
## 1040           NA           NA            NA           NA            NA
## 1041           NA           NA            NA           NA            NA
## 1042           NA           NA            NA           NA            NA
## 1043           NA           NA            NA           NA            NA
## 1044           NA           NA            NA           NA            NA
## 1045           NA           NA            NA           NA            NA
## 1046           NA           NA            NA           NA            NA
## 1047           NA           NA            NA           NA            NA
## 1048           NA           NA            NA           NA            NA
## 1049           NA           NA            NA           NA            NA
## 1050           NA           NA            NA           NA            NA
## 1051           NA           NA            NA           NA            NA
## 1052           NA           NA            NA           NA            NA
## 1053           NA           NA            NA           NA            NA
## 1054           NA           NA            NA           NA            NA
## 1055           NA           NA            NA           NA            NA
## 1056           NA           NA            NA           NA            NA
## 1057           NA           NA            NA           NA            NA
## 1058           NA           NA            NA           NA            NA
## 1059           NA           NA            NA           NA            NA
## 1060           NA           NA            NA           NA            NA
## 1061           NA           NA            NA           NA            NA
## 1062           NA           NA            NA           NA            NA
## 1063           NA           NA            NA           NA            NA
## 1064           NA           NA            NA           NA            NA
## 1065           NA           NA            NA           NA            NA
## 1066           NA           NA            NA           NA            NA
## 1067           NA           NA            NA           NA            NA
## 1068  -6.14182290 -28.60301004  -1.758294748  -6.15973538   0.872261610
## 1069  -6.14182290 -28.60301004  -1.758294748  -6.15973538   0.872261610
## 1070  -6.14182290 -28.60301004  -1.758294748  -6.15973538   0.872261610
## 1071  -6.14182290 -28.60301004  -1.758294748  -6.15973538   0.872261610
## 1072  -6.14182290 -28.60301004  -1.758294748  -6.15973538   0.872261610
## 1073   4.52706394 -57.50347210  -1.405300623   2.99522370  -7.817987309
## 1074   4.52706394 -57.50347210  -1.405300623   2.99522370  -7.817987309
## 1075   4.52706394 -57.50347210  -1.405300623   2.99522370  -7.817987309
## 1076   4.52706394 -57.50347210  -1.405300623   2.99522370  -7.817987309
## 1077   4.52706394 -57.50347210  -1.405300623   2.99522370  -7.817987309
## 1078           NA           NA            NA           NA            NA
## 1079           NA           NA            NA           NA            NA
## 1080           NA           NA            NA           NA            NA
## 1081           NA           NA            NA           NA            NA
## 1082           NA           NA            NA           NA            NA
## 1083   1.70810151  -0.52806190  -4.512258443   1.05729562 -31.828546166
## 1084   1.70810151  -0.52806190  -4.512258443   1.05729562 -31.828546166
## 1085   1.70810151  -0.52806190  -4.512258443   1.05729562 -31.828546166
## 1086   1.70810151  -0.52806190  -4.512258443   1.05729562 -31.828546166
## 1087   1.70810151  -0.52806190  -4.512258443   1.05729562 -31.828546166
## 1088           NA           NA            NA           NA            NA
## 1089           NA           NA            NA           NA            NA
## 1090           NA           NA            NA           NA            NA
## 1091           NA           NA            NA           NA            NA
## 1092           NA           NA            NA           NA            NA
## 1093   8.51790977   8.13726943   0.510055248   5.83802463 -35.901806905
## 1094   8.51790977   8.13726943   0.510055248   5.83802463 -35.901806905
## 1095   8.51790977   8.13726943   0.510055248   5.83802463 -35.901806905
## 1096   8.51790977   8.13726943   0.510055248   5.83802463 -35.901806905
## 1097   8.51790977   8.13726943   0.510055248   5.83802463 -35.901806905
## 1098           NA           NA            NA           NA            NA
## 1099           NA           NA            NA           NA            NA
## 1100           NA           NA            NA           NA            NA
## 1101           NA           NA            NA           NA            NA
## 1102           NA           NA            NA           NA            NA
## 1103 -10.46570763   6.23518000  -8.603562876  -0.20311265  21.650121197
## 1104 -10.46570763   6.23518000  -8.603562876  -0.20311265  21.650121197
## 1105 -10.46570763   6.23518000  -8.603562876  -0.20311265  21.650121197
## 1106 -10.46570763   6.23518000  -8.603562876  -0.20311265  21.650121197
## 1107 -10.46570763   6.23518000  -8.603562876  -0.20311265  21.650121197
## 1108           NA           NA            NA           NA            NA
## 1109           NA           NA            NA           NA            NA
## 1110           NA           NA            NA           NA            NA
## 1111           NA           NA            NA           NA            NA
## 1112           NA           NA            NA           NA            NA
## 1113  -3.76252302  15.70920604  -2.690571682  -1.57170622 -23.180024455
## 1114  -3.76252302  15.70920604  -2.690571682  -1.57170622 -23.180024455
## 1115  -3.76252302  15.70920604  -2.690571682  -1.57170622 -23.180024455
## 1116  -3.76252302  15.70920604  -2.690571682  -1.57170622 -23.180024455
## 1117  -3.76252302  15.70920604  -2.690571682  -1.57170622 -23.180024455
## 1118  -1.73275541  -7.36602989   0.463009795   1.49611717   2.533338474
## 1119  -1.73275541  -7.36602989   0.463009795   1.49611717   2.533338474
## 1120  -1.73275541  -7.36602989   0.463009795   1.49611717   2.533338474
## 1121  -1.73275541  -7.36602989   0.463009795   1.49611717   2.533338474
## 1122  -1.73275541  -7.36602989   0.463009795   1.49611717   2.533338474
## 1123  -0.73505165  14.89802594  -0.883079789   3.99987252  19.979399034
## 1124  -0.73505165  14.89802594  -0.883079789   3.99987252  19.979399034
## 1125  -0.73505165  14.89802594  -0.883079789   3.99987252  19.979399034
## 1126  -0.73505165  14.89802594  -0.883079789   3.99987252  19.979399034
## 1127  -0.73505165  14.89802594  -0.883079789   3.99987252  19.979399034
## 1128           NA           NA            NA           NA            NA
## 1129           NA           NA            NA           NA            NA
## 1130           NA           NA            NA           NA            NA
## 1131           NA           NA            NA           NA            NA
## 1132           NA           NA            NA           NA            NA
## 1133   3.96849413  -7.97110793   2.033344929   1.40602438 -15.162056319
## 1134   3.96849413  -7.97110793   2.033344929   1.40602438 -15.162056319
## 1135   3.96849413  -7.97110793   2.033344929   1.40602438 -15.162056319
## 1136   3.96849413  -7.97110793   2.033344929   1.40602438 -15.162056319
## 1137   3.96849413  -7.97110793   2.033344929   1.40602438 -15.162056319
## 1138           NA           NA            NA           NA            NA
## 1139           NA           NA            NA           NA            NA
## 1140           NA           NA            NA           NA            NA
## 1141           NA           NA            NA           NA            NA
## 1142           NA           NA            NA           NA            NA
## 1143   0.26798508   1.68109964   3.873126387   2.14533105  -5.552908707
## 1144   0.26798508   1.68109964   3.873126387   2.14533105  -5.552908707
## 1145   0.26798508   1.68109964   3.873126387   2.14533105  -5.552908707
## 1146   0.26798508   1.68109964   3.873126387   2.14533105  -5.552908707
## 1147   0.26798508   1.68109964   3.873126387   2.14533105  -5.552908707
## 1148           NA           NA            NA           NA            NA
## 1149           NA           NA            NA           NA            NA
## 1150           NA           NA            NA           NA            NA
## 1151           NA           NA            NA           NA            NA
## 1152           NA           NA            NA           NA            NA
## 1153  -1.71856038  24.03847496  -3.610947389  -4.52446878   6.205844919
## 1154  -1.71856038  24.03847496  -3.610947389  -4.52446878   6.205844919
## 1155  -1.71856038  24.03847496  -3.610947389  -4.52446878   6.205844919
## 1156  -1.71856038  24.03847496  -3.610947389  -4.52446878   6.205844919
## 1157  -1.71856038  24.03847496  -3.610947389  -4.52446878   6.205844919
## 1158   3.51433054  -8.32536423  -5.848341495  -1.51073325  10.679333329
## 1159   3.51433054  -8.32536423  -5.848341495  -1.51073325  10.679333329
## 1160   3.51433054  -8.32536423  -5.848341495  -1.51073325  10.679333329
## 1161   3.51433054  -8.32536423  -5.848341495  -1.51073325  10.679333329
## 1162   3.51433054  -8.32536423  -5.848341495  -1.51073325  10.679333329
## 1163           NA           NA            NA           NA            NA
## 1164           NA           NA            NA           NA            NA
## 1165           NA           NA            NA           NA            NA
## 1166           NA           NA            NA           NA            NA
## 1167           NA           NA            NA           NA            NA
## 1168           NA           NA            NA           NA            NA
## 1169           NA           NA            NA           NA            NA
## 1170           NA           NA            NA           NA            NA
## 1171           NA           NA            NA           NA            NA
## 1172           NA           NA            NA           NA            NA
## 1173           NA           NA            NA           NA            NA
## 1174           NA           NA            NA           NA            NA
## 1175           NA           NA            NA           NA            NA
## 1176           NA           NA            NA           NA            NA
## 1177           NA           NA            NA           NA            NA
## 1178           NA           NA            NA           NA            NA
## 1179           NA           NA            NA           NA            NA
## 1180           NA           NA            NA           NA            NA
## 1181           NA           NA            NA           NA            NA
## 1182           NA           NA            NA           NA            NA
## 1183           NA           NA            NA           NA            NA
## 1184           NA           NA            NA           NA            NA
## 1185           NA           NA            NA           NA            NA
## 1186           NA           NA            NA           NA            NA
## 1187           NA           NA            NA           NA            NA
## 1188   2.95633596  -0.24106443  -1.788864350  -2.04312678   3.619970113
## 1189   2.95633596  -0.24106443  -1.788864350  -2.04312678   3.619970113
## 1190   2.95633596  -0.24106443  -1.788864350  -2.04312678   3.619970113
## 1191   2.95633596  -0.24106443  -1.788864350  -2.04312678   3.619970113
## 1192   2.95633596  -0.24106443  -1.788864350  -2.04312678   3.619970113
## 1193   1.32523092  20.01677160   1.428078963  -1.01701113   4.826183439
## 1194   1.32523092  20.01677160   1.428078963  -1.01701113   4.826183439
## 1195   1.32523092  20.01677160   1.428078963  -1.01701113   4.826183439
## 1196   1.32523092  20.01677160   1.428078963  -1.01701113   4.826183439
## 1197   1.32523092  20.01677160   1.428078963  -1.01701113   4.826183439
## 1198   5.81896271  25.77108600  -5.533229420   1.24877511 -22.292256695
## 1199   5.81896271  25.77108600  -5.533229420   1.24877511 -22.292256695
## 1200   5.81896271  25.77108600  -5.533229420   1.24877511 -22.292256695
## 1201   5.81896271  25.77108600  -5.533229420   1.24877511 -22.292256695
## 1202   5.81896271  25.77108600  -5.533229420   1.24877511 -22.292256695
## 1203  -2.00578462  23.12964760   1.333660085   3.39649807  -9.360253062
## 1204  -2.00578462  23.12964760   1.333660085   3.39649807  -9.360253062
## 1205  -2.00578462  23.12964760   1.333660085   3.39649807  -9.360253062
## 1206  -2.00578462  23.12964760   1.333660085   3.39649807  -9.360253062
## 1207  -2.00578462  23.12964760   1.333660085   3.39649807  -9.360253062
## 1208           NA           NA            NA           NA            NA
## 1209           NA           NA            NA           NA            NA
## 1210           NA           NA            NA           NA            NA
## 1211           NA           NA            NA           NA            NA
## 1212           NA           NA            NA           NA            NA
## 1213   4.16637266 -28.99464445  -2.523308057  -7.07647913   5.573755182
## 1214   4.16637266 -28.99464445  -2.523308057  -7.07647913   5.573755182
## 1215   4.16637266 -28.99464445  -2.523308057  -7.07647913   5.573755182
## 1216   4.16637266 -28.99464445  -2.523308057  -7.07647913   5.573755182
## 1217   4.16637266 -28.99464445  -2.523308057  -7.07647913   5.573755182
## 1218   2.33816597  12.30317457  -2.640921534  -6.78560599   7.092935247
## 1219   2.33816597  12.30317457  -2.640921534  -6.78560599   7.092935247
## 1220   2.33816597  12.30317457  -2.640921534  -6.78560599   7.092935247
## 1221   2.33816597  12.30317457  -2.640921534  -6.78560599   7.092935247
## 1222   2.33816597  12.30317457  -2.640921534  -6.78560599   7.092935247
## 1223           NA           NA            NA           NA            NA
## 1224           NA           NA            NA           NA            NA
## 1225           NA           NA            NA           NA            NA
## 1226           NA           NA            NA           NA            NA
## 1227           NA           NA            NA           NA            NA
## 1228           NA           NA            NA           NA            NA
## 1229           NA           NA            NA           NA            NA
## 1230           NA           NA            NA           NA            NA
## 1231           NA           NA            NA           NA            NA
## 1232           NA           NA            NA           NA            NA
## 1233           NA           NA            NA           NA            NA
## 1234           NA           NA            NA           NA            NA
## 1235           NA           NA            NA           NA            NA
## 1236           NA           NA            NA           NA            NA
## 1237           NA           NA            NA           NA            NA
## 1238  -2.00690282 -21.90967898  -1.690876549   5.69461664   4.769166131
## 1239  -2.00690282 -21.90967898  -1.690876549   5.69461664   4.769166131
## 1240  -2.00690282 -21.90967898  -1.690876549   5.69461664   4.769166131
## 1241  -2.00690282 -21.90967898  -1.690876549   5.69461664   4.769166131
## 1242  -2.00690282 -21.90967898  -1.690876549   5.69461664   4.769166131
## 1243   0.43919487 -32.57555450  -0.783075109   0.39216418  -1.326710560
## 1244   0.43919487 -32.57555450  -0.783075109   0.39216418  -1.326710560
## 1245   0.43919487 -32.57555450  -0.783075109   0.39216418  -1.326710560
## 1246   0.43919487 -32.57555450  -0.783075109   0.39216418  -1.326710560
## 1247   0.43919487 -32.57555450  -0.783075109   0.39216418  -1.326710560
## 1248           NA           NA            NA           NA            NA
## 1249           NA           NA            NA           NA            NA
## 1250           NA           NA            NA           NA            NA
## 1251           NA           NA            NA           NA            NA
## 1252           NA           NA            NA           NA            NA
## 1253           NA           NA            NA           NA            NA
## 1254           NA           NA            NA           NA            NA
## 1255           NA           NA            NA           NA            NA
## 1256           NA           NA            NA           NA            NA
## 1257           NA           NA            NA           NA            NA
## 1258           NA           NA            NA           NA            NA
## 1259           NA           NA            NA           NA            NA
## 1260           NA           NA            NA           NA            NA
## 1261           NA           NA            NA           NA            NA
## 1262           NA           NA            NA           NA            NA
## 1263  -7.98877172  -5.80275231   7.631376987 -10.95355353  81.930543581
## 1264  -7.98877172  -5.80275231   7.631376987 -10.95355353  81.930543581
## 1265  -7.98877172  -5.80275231   7.631376987 -10.95355353  81.930543581
## 1266  -7.98877172  -5.80275231   7.631376987 -10.95355353  81.930543581
## 1267  -7.98877172  -5.80275231   7.631376987 -10.95355353  81.930543581
## 1268  -6.79303696   3.11140611  47.519153015   3.28944627   6.258246098
## 1269  -6.79303696   3.11140611  47.519153015   3.28944627   6.258246098
## 1270  -6.79303696   3.11140611  47.519153015   3.28944627   6.258246098
## 1271  -6.79303696   3.11140611  47.519153015   3.28944627   6.258246098
## 1272  -6.79303696   3.11140611  47.519153015   3.28944627   6.258246098
## 1273  -0.88136940   7.26623157   0.868794840  -2.64126222   0.117601524
## 1274  -0.88136940   7.26623157   0.868794840  -2.64126222   0.117601524
## 1275  -0.88136940   7.26623157   0.868794840  -2.64126222   0.117601524
## 1276  -0.88136940   7.26623157   0.868794840  -2.64126222   0.117601524
## 1277  -0.88136940   7.26623157   0.868794840  -2.64126222   0.117601524
## 1278 -18.02664048   3.53757048 -24.193527991  14.93908181   4.878328413
## 1279 -18.02664048   3.53757048 -24.193527991  14.93908181   4.878328413
## 1280 -18.02664048   3.53757048 -24.193527991  14.93908181   4.878328413
## 1281 -18.02664048   3.53757048 -24.193527991  14.93908181   4.878328413
## 1282 -18.02664048   3.53757048 -24.193527991  14.93908181   4.878328413
## 1283   0.26992876  18.21519820  -0.038757955  -3.72799628  -1.138410575
## 1284   0.26992876  18.21519820  -0.038757955  -3.72799628  -1.138410575
## 1285   0.26992876  18.21519820  -0.038757955  -3.72799628  -1.138410575
## 1286   0.26992876  18.21519820  -0.038757955  -3.72799628  -1.138410575
## 1287   0.26992876  18.21519820  -0.038757955  -3.72799628  -1.138410575
## 1288           NA           NA            NA           NA            NA
## 1289           NA           NA            NA           NA            NA
## 1290           NA           NA            NA           NA            NA
## 1291           NA           NA            NA           NA            NA
## 1292           NA           NA            NA           NA            NA
## 1293           NA           NA            NA           NA            NA
## 1294           NA           NA            NA           NA            NA
## 1295           NA           NA            NA           NA            NA
## 1296           NA           NA            NA           NA            NA
## 1297           NA           NA            NA           NA            NA
## 1298 -14.67541036   7.07817700 -12.343851883  30.56694557  -5.271149310
## 1299 -14.67541036   7.07817700 -12.343851883  30.56694557  -5.271149310
## 1300 -14.67541036   7.07817700 -12.343851883  30.56694557  -5.271149310
## 1301 -14.67541036   7.07817700 -12.343851883  30.56694557  -5.271149310
## 1302 -14.67541036   7.07817700 -12.343851883  30.56694557  -5.271149310
## 1303           NA           NA            NA           NA            NA
## 1304           NA           NA            NA           NA            NA
## 1305           NA           NA            NA           NA            NA
## 1306           NA           NA            NA           NA            NA
## 1307           NA           NA            NA           NA            NA
## 1308           NA           NA            NA           NA            NA
## 1309           NA           NA            NA           NA            NA
## 1310           NA           NA            NA           NA            NA
## 1311           NA           NA            NA           NA            NA
## 1312           NA           NA            NA           NA            NA
## 1313   1.57240326  -9.01569519  -1.649966998   1.74627368   1.285114264
## 1314   1.57240326  -9.01569519  -1.649966998   1.74627368   1.285114264
## 1315   1.57240326  -9.01569519  -1.649966998   1.74627368   1.285114264
## 1316   1.57240326  -9.01569519  -1.649966998   1.74627368   1.285114264
## 1317   1.57240326  -9.01569519  -1.649966998   1.74627368   1.285114264
## 1318           NA           NA            NA           NA            NA
## 1319           NA           NA            NA           NA            NA
## 1320           NA           NA            NA           NA            NA
## 1321           NA           NA            NA           NA            NA
## 1322           NA           NA            NA           NA            NA
## 1323           NA           NA            NA           NA            NA
## 1324           NA           NA            NA           NA            NA
## 1325           NA           NA            NA           NA            NA
## 1326           NA           NA            NA           NA            NA
## 1327           NA           NA            NA           NA            NA
## 1328           NA           NA            NA           NA            NA
## 1329           NA           NA            NA           NA            NA
## 1330           NA           NA            NA           NA            NA
## 1331           NA           NA            NA           NA            NA
## 1332           NA           NA            NA           NA            NA
## 1333           NA           NA            NA           NA            NA
## 1334           NA           NA            NA           NA            NA
## 1335           NA           NA            NA           NA            NA
## 1336           NA           NA            NA           NA            NA
## 1337           NA           NA            NA           NA            NA
## 1338           NA           NA            NA           NA            NA
## 1339           NA           NA            NA           NA            NA
## 1340           NA           NA            NA           NA            NA
## 1341           NA           NA            NA           NA            NA
## 1342           NA           NA            NA           NA            NA
## 1343           NA           NA            NA           NA            NA
## 1344           NA           NA            NA           NA            NA
## 1345           NA           NA            NA           NA            NA
## 1346           NA           NA            NA           NA            NA
## 1347           NA           NA            NA           NA            NA
## 1348           NA           NA            NA           NA            NA
## 1349           NA           NA            NA           NA            NA
## 1350           NA           NA            NA           NA            NA
## 1351           NA           NA            NA           NA            NA
## 1352           NA           NA            NA           NA            NA
## 1353           NA           NA            NA           NA            NA
## 1354           NA           NA            NA           NA            NA
## 1355           NA           NA            NA           NA            NA
## 1356           NA           NA            NA           NA            NA
## 1357           NA           NA            NA           NA            NA
## 1358           NA           NA            NA           NA            NA
## 1359           NA           NA            NA           NA            NA
## 1360           NA           NA            NA           NA            NA
## 1361           NA           NA            NA           NA            NA
## 1362           NA           NA            NA           NA            NA
## 1363   1.53500094   4.09590236  41.236157385  -0.57355864  -0.548425674
## 1364   1.53500094   4.09590236  41.236157385  -0.57355864  -0.548425674
## 1365   1.53500094   4.09590236  41.236157385  -0.57355864  -0.548425674
## 1366   1.53500094   4.09590236  41.236157385  -0.57355864  -0.548425674
## 1367   1.53500094   4.09590236  41.236157385  -0.57355864  -0.548425674
## 1368           NA           NA            NA           NA            NA
## 1369           NA           NA            NA           NA            NA
## 1370           NA           NA            NA           NA            NA
## 1371           NA           NA            NA           NA            NA
## 1372           NA           NA            NA           NA            NA
## 1373           NA           NA            NA           NA            NA
## 1374           NA           NA            NA           NA            NA
## 1375           NA           NA            NA           NA            NA
## 1376           NA           NA            NA           NA            NA
## 1377           NA           NA            NA           NA            NA
## 1378  17.62637309  -1.84676339  42.953423270 -13.38234408  -4.218603960
## 1379  17.62637309  -1.84676339  42.953423270 -13.38234408  -4.218603960
## 1380  17.62637309  -1.84676339  42.953423270 -13.38234408  -4.218603960
## 1381  17.62637309  -1.84676339  42.953423270 -13.38234408  -4.218603960
## 1382  17.62637309  -1.84676339  42.953423270 -13.38234408  -4.218603960
## 1383           NA           NA            NA           NA            NA
## 1384           NA           NA            NA           NA            NA
## 1385           NA           NA            NA           NA            NA
## 1386           NA           NA            NA           NA            NA
## 1387           NA           NA            NA           NA            NA
## 1388  69.61990883   8.57197775  -5.927331450  14.98026522  20.057630913
## 1389  69.61990883   8.57197775  -5.927331450  14.98026522  20.057630913
## 1390  69.61990883   8.57197775  -5.927331450  14.98026522  20.057630913
## 1391  69.61990883   8.57197775  -5.927331450  14.98026522  20.057630913
## 1392  69.61990883   8.57197775  -5.927331450  14.98026522  20.057630913
## 1393           NA           NA            NA           NA            NA
## 1394           NA           NA            NA           NA            NA
## 1395           NA           NA            NA           NA            NA
## 1396           NA           NA            NA           NA            NA
## 1397           NA           NA            NA           NA            NA
## 1398           NA           NA            NA           NA            NA
## 1399           NA           NA            NA           NA            NA
## 1400           NA           NA            NA           NA            NA
## 1401           NA           NA            NA           NA            NA
## 1402           NA           NA            NA           NA            NA
## 1403           NA           NA            NA           NA            NA
## 1404           NA           NA            NA           NA            NA
## 1405           NA           NA            NA           NA            NA
## 1406           NA           NA            NA           NA            NA
## 1407           NA           NA            NA           NA            NA
## 1408           NA           NA            NA           NA            NA
## 1409           NA           NA            NA           NA            NA
## 1410           NA           NA            NA           NA            NA
## 1411           NA           NA            NA           NA            NA
## 1412           NA           NA            NA           NA            NA
## 1413   1.87225499   4.76757258  -5.972483943   1.54110327  -1.672049044
## 1414   1.87225499   4.76757258  -5.972483943   1.54110327  -1.672049044
## 1415   1.87225499   4.76757258  -5.972483943   1.54110327  -1.672049044
## 1416   1.87225499   4.76757258  -5.972483943   1.54110327  -1.672049044
## 1417   1.87225499   4.76757258  -5.972483943   1.54110327  -1.672049044
## 1418   6.00052119   3.29994242   5.519736531   3.32007422  -2.854258899
## 1419   6.00052119   3.29994242   5.519736531   3.32007422  -2.854258899
## 1420   6.00052119   3.29994242   5.519736531   3.32007422  -2.854258899
## 1421   6.00052119   3.29994242   5.519736531   3.32007422  -2.854258899
## 1422   6.00052119   3.29994242   5.519736531   3.32007422  -2.854258899
## 1423           NA           NA            NA           NA            NA
## 1424           NA           NA            NA           NA            NA
## 1425           NA           NA            NA           NA            NA
## 1426           NA           NA            NA           NA            NA
## 1427           NA           NA            NA           NA            NA
## 1428 -11.66163816   9.55509996   1.355959867 -14.61678606 -15.968187481
## 1429 -11.66163816   9.55509996   1.355959867 -14.61678606 -15.968187481
## 1430 -11.66163816   9.55509996   1.355959867 -14.61678606 -15.968187481
## 1431 -11.66163816   9.55509996   1.355959867 -14.61678606 -15.968187481
## 1432 -11.66163816   9.55509996   1.355959867 -14.61678606 -15.968187481
## 1433  -0.19452223   3.36747349   1.002626490   0.94946259 -34.033289395
## 1434  -0.19452223   3.36747349   1.002626490   0.94946259 -34.033289395
## 1435  -0.19452223   3.36747349   1.002626490   0.94946259 -34.033289395
## 1436  -0.19452223   3.36747349   1.002626490   0.94946259 -34.033289395
## 1437  -0.19452223   3.36747349   1.002626490   0.94946259 -34.033289395
## 1438           NA           NA            NA           NA            NA
## 1439           NA           NA            NA           NA            NA
## 1440           NA           NA            NA           NA            NA
## 1441           NA           NA            NA           NA            NA
## 1442           NA           NA            NA           NA            NA
## 1443   0.88325073 -10.14239837  -1.383314485  -4.41506816   1.375262366
## 1444   0.88325073 -10.14239837  -1.383314485  -4.41506816   1.375262366
## 1445   0.88325073 -10.14239837  -1.383314485  -4.41506816   1.375262366
## 1446   0.88325073 -10.14239837  -1.383314485  -4.41506816   1.375262366
## 1447   0.88325073 -10.14239837  -1.383314485  -4.41506816   1.375262366
## 1448           NA           NA            NA           NA            NA
## 1449           NA           NA            NA           NA            NA
## 1450           NA           NA            NA           NA            NA
## 1451           NA           NA            NA           NA            NA
## 1452           NA           NA            NA           NA            NA
## 1453           NA           NA            NA           NA            NA
## 1454           NA           NA            NA           NA            NA
## 1455           NA           NA            NA           NA            NA
## 1456           NA           NA            NA           NA            NA
## 1457           NA           NA            NA           NA            NA
## 1458           NA           NA            NA           NA            NA
## 1459           NA           NA            NA           NA            NA
## 1460           NA           NA            NA           NA            NA
## 1461           NA           NA            NA           NA            NA
## 1462           NA           NA            NA           NA            NA
## 1463 -47.83341859  -2.43190531   7.787977649   7.90172665 -10.460650519
## 1464 -47.83341859  -2.43190531   7.787977649   7.90172665 -10.460650519
## 1465 -47.83341859  -2.43190531   7.787977649   7.90172665 -10.460650519
## 1466 -47.83341859  -2.43190531   7.787977649   7.90172665 -10.460650519
## 1467 -47.83341859  -2.43190531   7.787977649   7.90172665 -10.460650519
## 1468           NA           NA            NA           NA            NA
## 1469           NA           NA            NA           NA            NA
## 1470           NA           NA            NA           NA            NA
## 1471           NA           NA            NA           NA            NA
## 1472           NA           NA            NA           NA            NA
## 1473           NA           NA            NA           NA            NA
## 1474           NA           NA            NA           NA            NA
## 1475           NA           NA            NA           NA            NA
## 1476           NA           NA            NA           NA            NA
## 1477           NA           NA            NA           NA            NA
## 1478           NA           NA            NA           NA            NA
## 1479           NA           NA            NA           NA            NA
## 1480           NA           NA            NA           NA            NA
## 1481           NA           NA            NA           NA            NA
## 1482           NA           NA            NA           NA            NA
## 1483           NA           NA            NA           NA            NA
## 1484           NA           NA            NA           NA            NA
## 1485           NA           NA            NA           NA            NA
## 1486           NA           NA            NA           NA            NA
## 1487           NA           NA            NA           NA            NA
## 1488   1.65769619  -0.76175812  -6.628460631 -33.94376774 -16.305298285
## 1489   1.65769619  -0.76175812  -6.628460631 -33.94376774 -16.305298285
## 1490   1.65769619  -0.76175812  -6.628460631 -33.94376774 -16.305298285
## 1491   1.65769619  -0.76175812  -6.628460631 -33.94376774 -16.305298285
## 1492   1.65769619  -0.76175812  -6.628460631 -33.94376774 -16.305298285
## 1493   0.33889639  12.53416100  -3.148266941  -7.93289852  11.009887725
## 1494   0.33889639  12.53416100  -3.148266941  -7.93289852  11.009887725
## 1495   0.33889639  12.53416100  -3.148266941  -7.93289852  11.009887725
## 1496   0.33889639  12.53416100  -3.148266941  -7.93289852  11.009887725
## 1497   0.33889639  12.53416100  -3.148266941  -7.93289852  11.009887725
## 1498 -15.96197876   6.82106614   2.132198277  -4.28445955   8.147250075
## 1499 -15.96197876   6.82106614   2.132198277  -4.28445955   8.147250075
## 1500 -15.96197876   6.82106614   2.132198277  -4.28445955   8.147250075
## 1501 -15.96197876   6.82106614   2.132198277  -4.28445955   8.147250075
## 1502 -15.96197876   6.82106614   2.132198277  -4.28445955   8.147250075
## 1503  19.38015117  14.72880999   2.448260565   2.65885284 -19.923332074
## 1504  19.38015117  14.72880999   2.448260565   2.65885284 -19.923332074
## 1505  19.38015117  14.72880999   2.448260565   2.65885284 -19.923332074
## 1506  19.38015117  14.72880999   2.448260565   2.65885284 -19.923332074
## 1507  19.38015117  14.72880999   2.448260565   2.65885284 -19.923332074
## 1508           NA           NA            NA           NA            NA
## 1509           NA           NA            NA           NA            NA
## 1510           NA           NA            NA           NA            NA
## 1511           NA           NA            NA           NA            NA
## 1512           NA           NA            NA           NA            NA
## 1513           NA           NA            NA           NA            NA
## 1514           NA           NA            NA           NA            NA
## 1515           NA           NA            NA           NA            NA
## 1516           NA           NA            NA           NA            NA
## 1517           NA           NA            NA           NA            NA
## 1518           NA           NA            NA           NA            NA
## 1519           NA           NA            NA           NA            NA
## 1520           NA           NA            NA           NA            NA
## 1521           NA           NA            NA           NA            NA
## 1522           NA           NA            NA           NA            NA
## 1523           NA           NA            NA           NA            NA
## 1524           NA           NA            NA           NA            NA
## 1525           NA           NA            NA           NA            NA
## 1526           NA           NA            NA           NA            NA
## 1527           NA           NA            NA           NA            NA
## 1528   3.73067118   3.15470476 -88.008508826   9.35388460  -1.811427681
## 1529   3.73067118   3.15470476 -88.008508826   9.35388460  -1.811427681
## 1530   3.73067118   3.15470476 -88.008508826   9.35388460  -1.811427681
## 1531   3.73067118   3.15470476 -88.008508826   9.35388460  -1.811427681
## 1532   3.73067118   3.15470476 -88.008508826   9.35388460  -1.811427681
## 1533           NA           NA            NA           NA            NA
## 1534           NA           NA            NA           NA            NA
## 1535           NA           NA            NA           NA            NA
## 1536           NA           NA            NA           NA            NA
## 1537           NA           NA            NA           NA            NA
## 1538           NA           NA            NA           NA            NA
##        PC5_score   PC102_score    PC16_score  PC106_score   PC98_score
## 1     -9.2571322    2.13462801    6.05942662  -7.66420190  -2.84543283
## 2     -9.2571322    2.13462801    6.05942662  -7.66420190  -2.84543283
## 3     -9.2571322    2.13462801    6.05942662  -7.66420190  -2.84543283
## 4     -9.2571322    2.13462801    6.05942662  -7.66420190  -2.84543283
## 5     -9.2571322    2.13462801    6.05942662  -7.66420190  -2.84543283
## 6     -9.2571322    2.13462801    6.05942662  -7.66420190  -2.84543283
## 7     -9.2571322    2.13462801    6.05942662  -7.66420190  -2.84543283
## 8     -9.2571322    2.13462801    6.05942662  -7.66420190  -2.84543283
## 9     -4.6641014  -21.53340999    1.81787251  55.91762731   0.83373479
## 10    -4.6641014  -21.53340999    1.81787251  55.91762731   0.83373479
## 11    -4.6641014  -21.53340999    1.81787251  55.91762731   0.83373479
## 12    -4.6641014  -21.53340999    1.81787251  55.91762731   0.83373479
## 13    -4.6641014  -21.53340999    1.81787251  55.91762731   0.83373479
## 14    -4.6641014  -21.53340999    1.81787251  55.91762731   0.83373479
## 15    -4.6641014  -21.53340999    1.81787251  55.91762731   0.83373479
## 16    -4.6641014  -21.53340999    1.81787251  55.91762731   0.83373479
## 17   -12.0086721    0.68474360    5.09455610  -1.76753096   4.62861407
## 18   -12.0086721    0.68474360    5.09455610  -1.76753096   4.62861407
## 19   -12.0086721    0.68474360    5.09455610  -1.76753096   4.62861407
## 20   -12.0086721    0.68474360    5.09455610  -1.76753096   4.62861407
## 21   -12.0086721    0.68474360    5.09455610  -1.76753096   4.62861407
## 22   -12.0086721    0.68474360    5.09455610  -1.76753096   4.62861407
## 23   -12.0086721    0.68474360    5.09455610  -1.76753096   4.62861407
## 24   -12.0086721    0.68474360    5.09455610  -1.76753096   4.62861407
## 25    -7.7905822   -0.31468276    0.51901908  -0.09483958   2.19180882
## 26    -7.7905822   -0.31468276    0.51901908  -0.09483958   2.19180882
## 27    -7.7905822   -0.31468276    0.51901908  -0.09483958   2.19180882
## 28    -7.7905822   -0.31468276    0.51901908  -0.09483958   2.19180882
## 29    -7.7905822   -0.31468276    0.51901908  -0.09483958   2.19180882
## 30    -7.7905822   -0.31468276    0.51901908  -0.09483958   2.19180882
## 31    -7.7905822   -0.31468276    0.51901908  -0.09483958   2.19180882
## 32    -7.7905822   -0.31468276    0.51901908  -0.09483958   2.19180882
## 33    -4.4783686   12.02034369   -2.00618857  -2.42199658   0.38566594
## 34    -4.4783686   12.02034369   -2.00618857  -2.42199658   0.38566594
## 35    -4.4783686   12.02034369   -2.00618857  -2.42199658   0.38566594
## 36    -4.4783686   12.02034369   -2.00618857  -2.42199658   0.38566594
## 37    -4.4783686   12.02034369   -2.00618857  -2.42199658   0.38566594
## 38    -4.4783686   12.02034369   -2.00618857  -2.42199658   0.38566594
## 39    -4.4783686   12.02034369   -2.00618857  -2.42199658   0.38566594
## 40    -4.4783686   12.02034369   -2.00618857  -2.42199658   0.38566594
## 41     0.2356262   -9.21570520   -0.19069022  -3.51285063  -5.68178211
## 42     0.2356262   -9.21570520   -0.19069022  -3.51285063  -5.68178211
## 43     0.2356262   -9.21570520   -0.19069022  -3.51285063  -5.68178211
## 44     0.2356262   -9.21570520   -0.19069022  -3.51285063  -5.68178211
## 45     0.2356262   -9.21570520   -0.19069022  -3.51285063  -5.68178211
## 46     0.2356262   -9.21570520   -0.19069022  -3.51285063  -5.68178211
## 47     0.2356262   -9.21570520   -0.19069022  -3.51285063  -5.68178211
## 48     0.2356262   -9.21570520   -0.19069022  -3.51285063  -5.68178211
## 49   -19.9836897    0.10802454   58.25566926  -1.22165025  -1.96270114
## 50   -19.9836897    0.10802454   58.25566926  -1.22165025  -1.96270114
## 51   -19.9836897    0.10802454   58.25566926  -1.22165025  -1.96270114
## 52   -19.9836897    0.10802454   58.25566926  -1.22165025  -1.96270114
## 53   -19.9836897    0.10802454   58.25566926  -1.22165025  -1.96270114
## 54   -19.9836897    0.10802454   58.25566926  -1.22165025  -1.96270114
## 55   -19.9836897    0.10802454   58.25566926  -1.22165025  -1.96270114
## 56   -19.9836897    0.10802454   58.25566926  -1.22165025  -1.96270114
## 57    -8.8849723   -4.60398106    8.49040433  -3.00533580   0.25137380
## 58    -8.8849723   -4.60398106    8.49040433  -3.00533580   0.25137380
## 59    -8.8849723   -4.60398106    8.49040433  -3.00533580   0.25137380
## 60    -8.8849723   -4.60398106    8.49040433  -3.00533580   0.25137380
## 61    -8.8849723   -4.60398106    8.49040433  -3.00533580   0.25137380
## 62    -8.8849723   -4.60398106    8.49040433  -3.00533580   0.25137380
## 63    -8.8849723   -4.60398106    8.49040433  -3.00533580   0.25137380
## 64    -8.8849723   -4.60398106    8.49040433  -3.00533580   0.25137380
## 65    -7.0267386   -2.13922281    0.28833138  -5.41243687   0.16562701
## 66    -7.0267386   -2.13922281    0.28833138  -5.41243687   0.16562701
## 67    -7.0267386   -2.13922281    0.28833138  -5.41243687   0.16562701
## 68    -7.0267386   -2.13922281    0.28833138  -5.41243687   0.16562701
## 69    -7.0267386   -2.13922281    0.28833138  -5.41243687   0.16562701
## 70    -7.0267386   -2.13922281    0.28833138  -5.41243687   0.16562701
## 71    -7.0267386   -2.13922281    0.28833138  -5.41243687   0.16562701
## 72    -7.0267386   -2.13922281    0.28833138  -5.41243687   0.16562701
## 73    -6.9167077   -0.46520470    7.98054971  -4.01304687   0.69047866
## 74    -6.9167077   -0.46520470    7.98054971  -4.01304687   0.69047866
## 75    -6.9167077   -0.46520470    7.98054971  -4.01304687   0.69047866
## 76    -6.9167077   -0.46520470    7.98054971  -4.01304687   0.69047866
## 77    -6.9167077   -0.46520470    7.98054971  -4.01304687   0.69047866
## 78    -6.9167077   -0.46520470    7.98054971  -4.01304687   0.69047866
## 79    -6.9167077   -0.46520470    7.98054971  -4.01304687   0.69047866
## 80    -6.9167077   -0.46520470    7.98054971  -4.01304687   0.69047866
## 81    -5.7439638   -6.72976788   -5.81417262  -3.26137608  -1.42292978
## 82    -5.7439638   -6.72976788   -5.81417262  -3.26137608  -1.42292978
## 83    -5.7439638   -6.72976788   -5.81417262  -3.26137608  -1.42292978
## 84    -5.7439638   -6.72976788   -5.81417262  -3.26137608  -1.42292978
## 85    -5.7439638   -6.72976788   -5.81417262  -3.26137608  -1.42292978
## 86    -5.7439638   -6.72976788   -5.81417262  -3.26137608  -1.42292978
## 87    -5.7439638   -6.72976788   -5.81417262  -3.26137608  -1.42292978
## 88    -5.7439638   -6.72976788   -5.81417262  -3.26137608  -1.42292978
## 89   -13.8402521    2.63219903    7.86006215   0.22620864   0.33625480
## 90   -13.8402521    2.63219903    7.86006215   0.22620864   0.33625480
## 91   -13.8402521    2.63219903    7.86006215   0.22620864   0.33625480
## 92   -13.8402521    2.63219903    7.86006215   0.22620864   0.33625480
## 93   -13.8402521    2.63219903    7.86006215   0.22620864   0.33625480
## 94   -13.8402521    2.63219903    7.86006215   0.22620864   0.33625480
## 95   -13.8402521    2.63219903    7.86006215   0.22620864   0.33625480
## 96   -13.8402521    2.63219903    7.86006215   0.22620864   0.33625480
## 97    -4.0360394   -6.73509440    4.20090472  -3.35237344   5.67119146
## 98    -4.0360394   -6.73509440    4.20090472  -3.35237344   5.67119146
## 99    -4.0360394   -6.73509440    4.20090472  -3.35237344   5.67119146
## 100   -4.0360394   -6.73509440    4.20090472  -3.35237344   5.67119146
## 101   -4.0360394   -6.73509440    4.20090472  -3.35237344   5.67119146
## 102   -4.0360394   -6.73509440    4.20090472  -3.35237344   5.67119146
## 103   -4.0360394   -6.73509440    4.20090472  -3.35237344   5.67119146
## 104   -4.0360394   -6.73509440    4.20090472  -3.35237344   5.67119146
## 105   -4.3319144  -12.47518863   -1.70913169  -0.66999561   3.76627611
## 106   -4.3319144  -12.47518863   -1.70913169  -0.66999561   3.76627611
## 107   -4.3319144  -12.47518863   -1.70913169  -0.66999561   3.76627611
## 108   -4.3319144  -12.47518863   -1.70913169  -0.66999561   3.76627611
## 109   -4.3319144  -12.47518863   -1.70913169  -0.66999561   3.76627611
## 110   -4.3319144  -12.47518863   -1.70913169  -0.66999561   3.76627611
## 111   -4.3319144  -12.47518863   -1.70913169  -0.66999561   3.76627611
## 112   -4.3319144  -12.47518863   -1.70913169  -0.66999561   3.76627611
## 113  -30.2347328    1.13591417  -14.28699974  -1.62407477   2.02934233
## 114  -30.2347328    1.13591417  -14.28699974  -1.62407477   2.02934233
## 115  -30.2347328    1.13591417  -14.28699974  -1.62407477   2.02934233
## 116  -30.2347328    1.13591417  -14.28699974  -1.62407477   2.02934233
## 117  -30.2347328    1.13591417  -14.28699974  -1.62407477   2.02934233
## 118  -30.2347328    1.13591417  -14.28699974  -1.62407477   2.02934233
## 119  -30.2347328    1.13591417  -14.28699974  -1.62407477   2.02934233
## 120  -30.2347328    1.13591417  -14.28699974  -1.62407477   2.02934233
## 121   -5.5805766   -1.10630641    3.98697439  -1.28734789   1.65486276
## 122   -5.5805766   -1.10630641    3.98697439  -1.28734789   1.65486276
## 123   -5.5805766   -1.10630641    3.98697439  -1.28734789   1.65486276
## 124   -5.5805766   -1.10630641    3.98697439  -1.28734789   1.65486276
## 125   -5.5805766   -1.10630641    3.98697439  -1.28734789   1.65486276
## 126   -5.5805766   -1.10630641    3.98697439  -1.28734789   1.65486276
## 127   -5.5805766   -1.10630641    3.98697439  -1.28734789   1.65486276
## 128   -5.5805766   -1.10630641    3.98697439  -1.28734789   1.65486276
## 129   -5.0047125    2.63963446   -4.96068941   4.50497938   6.78782368
## 130   -5.0047125    2.63963446   -4.96068941   4.50497938   6.78782368
## 131   -5.0047125    2.63963446   -4.96068941   4.50497938   6.78782368
## 132   -5.0047125    2.63963446   -4.96068941   4.50497938   6.78782368
## 133   -5.0047125    2.63963446   -4.96068941   4.50497938   6.78782368
## 134   -5.0047125    2.63963446   -4.96068941   4.50497938   6.78782368
## 135   -5.0047125    2.63963446   -4.96068941   4.50497938   6.78782368
## 136   -5.0047125    2.63963446   -4.96068941   4.50497938   6.78782368
## 137  -71.2103932    0.63424836   11.84290888  -0.01325423   0.79086181
## 138  -71.2103932    0.63424836   11.84290888  -0.01325423   0.79086181
## 139  -71.2103932    0.63424836   11.84290888  -0.01325423   0.79086181
## 140  -71.2103932    0.63424836   11.84290888  -0.01325423   0.79086181
## 141  -71.2103932    0.63424836   11.84290888  -0.01325423   0.79086181
## 142  -71.2103932    0.63424836   11.84290888  -0.01325423   0.79086181
## 143  -71.2103932    0.63424836   11.84290888  -0.01325423   0.79086181
## 144  -71.2103932    0.63424836   11.84290888  -0.01325423   0.79086181
## 145   -3.4315394    1.16861253    6.40702041  -1.67180977   4.54799197
## 146   -3.4315394    1.16861253    6.40702041  -1.67180977   4.54799197
## 147   -3.4315394    1.16861253    6.40702041  -1.67180977   4.54799197
## 148   -3.4315394    1.16861253    6.40702041  -1.67180977   4.54799197
## 149   -3.4315394    1.16861253    6.40702041  -1.67180977   4.54799197
## 150   -3.4315394    1.16861253    6.40702041  -1.67180977   4.54799197
## 151   -3.4315394    1.16861253    6.40702041  -1.67180977   4.54799197
## 152   -3.4315394    1.16861253    6.40702041  -1.67180977   4.54799197
## 153  -39.0143516   -1.16051208  -39.50933757   0.22210903  -1.50638691
## 154  -39.0143516   -1.16051208  -39.50933757   0.22210903  -1.50638691
## 155  -39.0143516   -1.16051208  -39.50933757   0.22210903  -1.50638691
## 156  -39.0143516   -1.16051208  -39.50933757   0.22210903  -1.50638691
## 157  -39.0143516   -1.16051208  -39.50933757   0.22210903  -1.50638691
## 158  -39.0143516   -1.16051208  -39.50933757   0.22210903  -1.50638691
## 159  -39.0143516   -1.16051208  -39.50933757   0.22210903  -1.50638691
## 160  -39.0143516   -1.16051208  -39.50933757   0.22210903  -1.50638691
## 161   -5.3391870    6.38552920    4.76204073  -5.46178334   3.76794440
## 162   -5.3391870    6.38552920    4.76204073  -5.46178334   3.76794440
## 163   -5.3391870    6.38552920    4.76204073  -5.46178334   3.76794440
## 164   -5.3391870    6.38552920    4.76204073  -5.46178334   3.76794440
## 165   -5.3391870    6.38552920    4.76204073  -5.46178334   3.76794440
## 166   -5.3391870    6.38552920    4.76204073  -5.46178334   3.76794440
## 167   -5.3391870    6.38552920    4.76204073  -5.46178334   3.76794440
## 168   -5.3391870    6.38552920    4.76204073  -5.46178334   3.76794440
## 169   -2.8662738   -7.70968728    1.04979981  22.45595805 -11.94554880
## 170   -2.8662738   -7.70968728    1.04979981  22.45595805 -11.94554880
## 171   -2.8662738   -7.70968728    1.04979981  22.45595805 -11.94554880
## 172   -2.8662738   -7.70968728    1.04979981  22.45595805 -11.94554880
## 173   -2.8662738   -7.70968728    1.04979981  22.45595805 -11.94554880
## 174   -2.8662738   -7.70968728    1.04979981  22.45595805 -11.94554880
## 175   -2.8662738   -7.70968728    1.04979981  22.45595805 -11.94554880
## 176   -2.8662738   -7.70968728    1.04979981  22.45595805 -11.94554880
## 177   -2.5554544   18.41470646    1.55397738 -36.05617368 -30.58586620
## 178   -2.5554544   18.41470646    1.55397738 -36.05617368 -30.58586620
## 179   -2.5554544   18.41470646    1.55397738 -36.05617368 -30.58586620
## 180   -2.5554544   18.41470646    1.55397738 -36.05617368 -30.58586620
## 181   -2.5554544   18.41470646    1.55397738 -36.05617368 -30.58586620
## 182   -2.5554544   18.41470646    1.55397738 -36.05617368 -30.58586620
## 183   -2.5554544   18.41470646    1.55397738 -36.05617368 -30.58586620
## 184   -2.5554544   18.41470646    1.55397738 -36.05617368 -30.58586620
## 185  -42.1284419    0.10020835  -18.59848920   2.67681668   2.22522827
## 186  -42.1284419    0.10020835  -18.59848920   2.67681668   2.22522827
## 187  -42.1284419    0.10020835  -18.59848920   2.67681668   2.22522827
## 188  -42.1284419    0.10020835  -18.59848920   2.67681668   2.22522827
## 189  -42.1284419    0.10020835  -18.59848920   2.67681668   2.22522827
## 190  -42.1284419    0.10020835  -18.59848920   2.67681668   2.22522827
## 191  -42.1284419    0.10020835  -18.59848920   2.67681668   2.22522827
## 192  -42.1284419    0.10020835  -18.59848920   2.67681668   2.22522827
## 193   -0.7049108   -2.70125017   13.33746244   1.36634310   3.41370430
## 194   -0.7049108   -2.70125017   13.33746244   1.36634310   3.41370430
## 195   -0.7049108   -2.70125017   13.33746244   1.36634310   3.41370430
## 196   -0.7049108   -2.70125017   13.33746244   1.36634310   3.41370430
## 197   -0.7049108   -2.70125017   13.33746244   1.36634310   3.41370430
## 198   -0.7049108   -2.70125017   13.33746244   1.36634310   3.41370430
## 199   -0.7049108   -2.70125017   13.33746244   1.36634310   3.41370430
## 200   -0.7049108   -2.70125017   13.33746244   1.36634310   3.41370430
## 201   -5.8358536   -0.73147314   -7.18139794  -5.18596488   1.65123904
## 202   -5.8358536   -0.73147314   -7.18139794  -5.18596488   1.65123904
## 203   -5.8358536   -0.73147314   -7.18139794  -5.18596488   1.65123904
## 204   -5.8358536   -0.73147314   -7.18139794  -5.18596488   1.65123904
## 205   -5.8358536   -0.73147314   -7.18139794  -5.18596488   1.65123904
## 206   -5.8358536   -0.73147314   -7.18139794  -5.18596488   1.65123904
## 207   -5.8358536   -0.73147314   -7.18139794  -5.18596488   1.65123904
## 208   -5.8358536   -0.73147314   -7.18139794  -5.18596488   1.65123904
## 209  -27.5070155    2.12112588  -56.05747785   1.23058968  -4.08843894
## 210  -27.5070155    2.12112588  -56.05747785   1.23058968  -4.08843894
## 211  -27.5070155    2.12112588  -56.05747785   1.23058968  -4.08843894
## 212  -27.5070155    2.12112588  -56.05747785   1.23058968  -4.08843894
## 213  -27.5070155    2.12112588  -56.05747785   1.23058968  -4.08843894
## 214  -27.5070155    2.12112588  -56.05747785   1.23058968  -4.08843894
## 215  -27.5070155    2.12112588  -56.05747785   1.23058968  -4.08843894
## 216  -27.5070155    2.12112588  -56.05747785   1.23058968  -4.08843894
## 217   13.2746996   -0.27542654   -2.55135574   2.00365769   0.29968513
## 218   13.2746996   -0.27542654   -2.55135574   2.00365769   0.29968513
## 219   13.2746996   -0.27542654   -2.55135574   2.00365769   0.29968513
## 220   13.2746996   -0.27542654   -2.55135574   2.00365769   0.29968513
## 221   13.2746996   -0.27542654   -2.55135574   2.00365769   0.29968513
## 222   13.2746996   -0.27542654   -2.55135574   2.00365769   0.29968513
## 223   13.2746996   -0.27542654   -2.55135574   2.00365769   0.29968513
## 224   13.2746996   -0.27542654   -2.55135574   2.00365769   0.29968513
## 225   -2.7582135   14.83569660    1.18144661 -15.05361272  -3.90665381
## 226   -2.7582135   14.83569660    1.18144661 -15.05361272  -3.90665381
## 227   -2.7582135   14.83569660    1.18144661 -15.05361272  -3.90665381
## 228   -2.7582135   14.83569660    1.18144661 -15.05361272  -3.90665381
## 229   -2.7582135   14.83569660    1.18144661 -15.05361272  -3.90665381
## 230   -2.7582135   14.83569660    1.18144661 -15.05361272  -3.90665381
## 231   -2.7582135   14.83569660    1.18144661 -15.05361272  -3.90665381
## 232   -2.7582135   14.83569660    1.18144661 -15.05361272  -3.90665381
## 233   -7.7275663   -0.60867868   17.26911584  -0.48400108  -1.39724959
## 234   -7.7275663   -0.60867868   17.26911584  -0.48400108  -1.39724959
## 235   -7.7275663   -0.60867868   17.26911584  -0.48400108  -1.39724959
## 236   -7.7275663   -0.60867868   17.26911584  -0.48400108  -1.39724959
## 237   -7.7275663   -0.60867868   17.26911584  -0.48400108  -1.39724959
## 238   -7.7275663   -0.60867868   17.26911584  -0.48400108  -1.39724959
## 239   -7.7275663   -0.60867868   17.26911584  -0.48400108  -1.39724959
## 240   -7.7275663   -0.60867868   17.26911584  -0.48400108  -1.39724959
## 241    7.1809428    6.03527561    3.20674436  -8.67276416   3.24657036
## 242    7.1809428    6.03527561    3.20674436  -8.67276416   3.24657036
## 243    7.1809428    6.03527561    3.20674436  -8.67276416   3.24657036
## 244    7.1809428    6.03527561    3.20674436  -8.67276416   3.24657036
## 245    7.1809428    6.03527561    3.20674436  -8.67276416   3.24657036
## 246    7.1809428    6.03527561    3.20674436  -8.67276416   3.24657036
## 247    7.1809428    6.03527561    3.20674436  -8.67276416   3.24657036
## 248    7.1809428    6.03527561    3.20674436  -8.67276416   3.24657036
## 249   -2.7452051   -4.45246846   -1.40479661   0.81397924   2.28240967
## 250   -2.7452051   -4.45246846   -1.40479661   0.81397924   2.28240967
## 251   -2.7452051   -4.45246846   -1.40479661   0.81397924   2.28240967
## 252   -2.7452051   -4.45246846   -1.40479661   0.81397924   2.28240967
## 253   -2.7452051   -4.45246846   -1.40479661   0.81397924   2.28240967
## 254   -2.7452051   -4.45246846   -1.40479661   0.81397924   2.28240967
## 255   -2.7452051   -4.45246846   -1.40479661   0.81397924   2.28240967
## 256   -2.7452051   -4.45246846   -1.40479661   0.81397924   2.28240967
## 257   -0.5450317  -28.55871173    4.33594319  17.04796700 -59.10023498
## 258   -0.5450317  -28.55871173    4.33594319  17.04796700 -59.10023498
## 259   -0.5450317  -28.55871173    4.33594319  17.04796700 -59.10023498
## 260   -0.5450317  -28.55871173    4.33594319  17.04796700 -59.10023498
## 261   -0.5450317  -28.55871173    4.33594319  17.04796700 -59.10023498
## 262   -0.5450317  -28.55871173    4.33594319  17.04796700 -59.10023498
## 263   -0.5450317  -28.55871173    4.33594319  17.04796700 -59.10023498
## 264   -0.5450317  -28.55871173    4.33594319  17.04796700 -59.10023498
## 265    2.7011566   -1.17238286    7.35912405   1.81134259  -0.72907531
## 266    2.7011566   -1.17238286    7.35912405   1.81134259  -0.72907531
## 267    2.7011566   -1.17238286    7.35912405   1.81134259  -0.72907531
## 268    2.7011566   -1.17238286    7.35912405   1.81134259  -0.72907531
## 269    2.7011566   -1.17238286    7.35912405   1.81134259  -0.72907531
## 270    2.7011566   -1.17238286    7.35912405   1.81134259  -0.72907531
## 271    2.7011566   -1.17238286    7.35912405   1.81134259  -0.72907531
## 272    2.7011566   -1.17238286    7.35912405   1.81134259  -0.72907531
## 273   -5.7408957   -3.53724487    1.23193555  -0.04196570   2.16847817
## 274   -5.7408957   -3.53724487    1.23193555  -0.04196570   2.16847817
## 275   -5.7408957   -3.53724487    1.23193555  -0.04196570   2.16847817
## 276   -5.7408957   -3.53724487    1.23193555  -0.04196570   2.16847817
## 277   -5.7408957   -3.53724487    1.23193555  -0.04196570   2.16847817
## 278   -5.7408957   -3.53724487    1.23193555  -0.04196570   2.16847817
## 279   -5.7408957   -3.53724487    1.23193555  -0.04196570   2.16847817
## 280   -5.7408957   -3.53724487    1.23193555  -0.04196570   2.16847817
## 281   -4.0920712   -1.72985765    0.75016829  -0.54576201   0.87692462
## 282   -4.0920712   -1.72985765    0.75016829  -0.54576201   0.87692462
## 283   -4.0920712   -1.72985765    0.75016829  -0.54576201   0.87692462
## 284   -4.0920712   -1.72985765    0.75016829  -0.54576201   0.87692462
## 285   -4.0920712   -1.72985765    0.75016829  -0.54576201   0.87692462
## 286   -4.0920712   -1.72985765    0.75016829  -0.54576201   0.87692462
## 287   -4.0920712   -1.72985765    0.75016829  -0.54576201   0.87692462
## 288   -4.0920712   -1.72985765    0.75016829  -0.54576201   0.87692462
## 289   -2.1155001    7.34724776    7.59192023   6.27646323   4.85860560
## 290   -2.1155001    7.34724776    7.59192023   6.27646323   4.85860560
## 291   -2.1155001    7.34724776    7.59192023   6.27646323   4.85860560
## 292   -2.1155001    7.34724776    7.59192023   6.27646323   4.85860560
## 293   -2.1155001    7.34724776    7.59192023   6.27646323   4.85860560
## 294   -2.1155001    7.34724776    7.59192023   6.27646323   4.85860560
## 295   -2.1155001    7.34724776    7.59192023   6.27646323   4.85860560
## 296   -2.1155001    7.34724776    7.59192023   6.27646323   4.85860560
## 297   -1.2866034    1.10724187    0.74195623  -1.37151481  -3.46838772
## 298   -1.2866034    1.10724187    0.74195623  -1.37151481  -3.46838772
## 299   -1.2866034    1.10724187    0.74195623  -1.37151481  -3.46838772
## 300   -1.2866034    1.10724187    0.74195623  -1.37151481  -3.46838772
## 301   -1.2866034    1.10724187    0.74195623  -1.37151481  -3.46838772
## 302   -1.2866034    1.10724187    0.74195623  -1.37151481  -3.46838772
## 303   -1.2866034    1.10724187    0.74195623  -1.37151481  -3.46838772
## 304   -1.2866034    1.10724187    0.74195623  -1.37151481  -3.46838772
## 305   -3.1125632   27.77556310   -1.63934197 -13.98075029 -10.40428526
## 306   -3.1125632   27.77556310   -1.63934197 -13.98075029 -10.40428526
## 307   -3.1125632   27.77556310   -1.63934197 -13.98075029 -10.40428526
## 308   -3.1125632   27.77556310   -1.63934197 -13.98075029 -10.40428526
## 309   -3.1125632   27.77556310   -1.63934197 -13.98075029 -10.40428526
## 310   -3.1125632   27.77556310   -1.63934197 -13.98075029 -10.40428526
## 311   -3.1125632   27.77556310   -1.63934197 -13.98075029 -10.40428526
## 312   -3.1125632   27.77556310   -1.63934197 -13.98075029 -10.40428526
## 313    4.2564780   -4.04776434    4.18463517  -2.34101547   3.40903325
## 314    4.2564780   -4.04776434    4.18463517  -2.34101547   3.40903325
## 315    4.2564780   -4.04776434    4.18463517  -2.34101547   3.40903325
## 316    4.2564780   -4.04776434    4.18463517  -2.34101547   3.40903325
## 317    4.2564780   -4.04776434    4.18463517  -2.34101547   3.40903325
## 318    4.2564780   -4.04776434    4.18463517  -2.34101547   3.40903325
## 319    4.2564780   -4.04776434    4.18463517  -2.34101547   3.40903325
## 320    4.2564780   -4.04776434    4.18463517  -2.34101547   3.40903325
## 321    3.0947172   -3.72029969    0.90934133  -1.61769956  -2.16837469
## 322    3.0947172   -3.72029969    0.90934133  -1.61769956  -2.16837469
## 323    3.0947172   -3.72029969    0.90934133  -1.61769956  -2.16837469
## 324    3.0947172   -3.72029969    0.90934133  -1.61769956  -2.16837469
## 325    3.0947172   -3.72029969    0.90934133  -1.61769956  -2.16837469
## 326    3.0947172   -3.72029969    0.90934133  -1.61769956  -2.16837469
## 327    3.0947172   -3.72029969    0.90934133  -1.61769956  -2.16837469
## 328    3.0947172   -3.72029969    0.90934133  -1.61769956  -2.16837469
## 329   -0.2568518    7.17213432   -1.92076435  -4.58522781   9.83168962
## 330   -0.2568518    7.17213432   -1.92076435  -4.58522781   9.83168962
## 331   -0.2568518    7.17213432   -1.92076435  -4.58522781   9.83168962
## 332   -0.2568518    7.17213432   -1.92076435  -4.58522781   9.83168962
## 333   -0.2568518    7.17213432   -1.92076435  -4.58522781   9.83168962
## 334   -0.2568518    7.17213432   -1.92076435  -4.58522781   9.83168962
## 335   -0.2568518    7.17213432   -1.92076435  -4.58522781   9.83168962
## 336   -0.2568518    7.17213432   -1.92076435  -4.58522781   9.83168962
## 337    7.2518885    1.18158210   13.53481722  -4.35316166   1.92545740
## 338    7.2518885    1.18158210   13.53481722  -4.35316166   1.92545740
## 339    7.2518885    1.18158210   13.53481722  -4.35316166   1.92545740
## 340    7.2518885    1.18158210   13.53481722  -4.35316166   1.92545740
## 341    7.2518885    1.18158210   13.53481722  -4.35316166   1.92545740
## 342    7.2518885    1.18158210   13.53481722  -4.35316166   1.92545740
## 343    7.2518885    1.18158210   13.53481722  -4.35316166   1.92545740
## 344    7.2518885    1.18158210   13.53481722  -4.35316166   1.92545740
## 345    4.1206868    1.71261851   -0.74543803  -0.20305251   1.85895004
## 346    4.1206868    1.71261851   -0.74543803  -0.20305251   1.85895004
## 347    4.1206868    1.71261851   -0.74543803  -0.20305251   1.85895004
## 348    4.1206868    1.71261851   -0.74543803  -0.20305251   1.85895004
## 349    4.1206868    1.71261851   -0.74543803  -0.20305251   1.85895004
## 350    4.1206868    1.71261851   -0.74543803  -0.20305251   1.85895004
## 351    4.1206868    1.71261851   -0.74543803  -0.20305251   1.85895004
## 352    4.1206868    1.71261851   -0.74543803  -0.20305251   1.85895004
## 353   -3.5301723    3.50756906   -6.68346218  -2.31709321   1.11635103
## 354   -3.5301723    3.50756906   -6.68346218  -2.31709321   1.11635103
## 355   -3.5301723    3.50756906   -6.68346218  -2.31709321   1.11635103
## 356   -3.5301723    3.50756906   -6.68346218  -2.31709321   1.11635103
## 357   -3.5301723    3.50756906   -6.68346218  -2.31709321   1.11635103
## 358   -3.5301723    3.50756906   -6.68346218  -2.31709321   1.11635103
## 359   -3.5301723    3.50756906   -6.68346218  -2.31709321   1.11635103
## 360   -3.5301723    3.50756906   -6.68346218  -2.31709321   1.11635103
## 361    4.0360898    0.23538511  -45.52060984   0.84286295  -0.99157933
## 362    4.0360898    0.23538511  -45.52060984   0.84286295  -0.99157933
## 363    4.0360898    0.23538511  -45.52060984   0.84286295  -0.99157933
## 364    4.0360898    0.23538511  -45.52060984   0.84286295  -0.99157933
## 365    4.0360898    0.23538511  -45.52060984   0.84286295  -0.99157933
## 366    4.0360898    0.23538511  -45.52060984   0.84286295  -0.99157933
## 367    4.0360898    0.23538511  -45.52060984   0.84286295  -0.99157933
## 368    4.0360898    0.23538511  -45.52060984   0.84286295  -0.99157933
## 369    6.2481958   -0.17693769    0.82396157   1.14169704   4.04919907
## 370    6.2481958   -0.17693769    0.82396157   1.14169704   4.04919907
## 371    6.2481958   -0.17693769    0.82396157   1.14169704   4.04919907
## 372    6.2481958   -0.17693769    0.82396157   1.14169704   4.04919907
## 373    6.2481958   -0.17693769    0.82396157   1.14169704   4.04919907
## 374    6.2481958   -0.17693769    0.82396157   1.14169704   4.04919907
## 375    6.2481958   -0.17693769    0.82396157   1.14169704   4.04919907
## 376    6.2481958   -0.17693769    0.82396157   1.14169704   4.04919907
## 377    0.6092214    6.23759476    2.42617986   2.36935085   1.38518460
## 378    0.6092214    6.23759476    2.42617986   2.36935085   1.38518460
## 379    0.6092214    6.23759476    2.42617986   2.36935085   1.38518460
## 380    0.6092214    6.23759476    2.42617986   2.36935085   1.38518460
## 381    0.6092214    6.23759476    2.42617986   2.36935085   1.38518460
## 382    0.6092214    6.23759476    2.42617986   2.36935085   1.38518460
## 383    0.6092214    6.23759476    2.42617986   2.36935085   1.38518460
## 384    0.6092214    6.23759476    2.42617986   2.36935085   1.38518460
## 385    0.2399700  -16.32765543   -0.32124170   4.57828079  21.96218763
## 386    0.2399700  -16.32765543   -0.32124170   4.57828079  21.96218763
## 387    0.2399700  -16.32765543   -0.32124170   4.57828079  21.96218763
## 388    0.2399700  -16.32765543   -0.32124170   4.57828079  21.96218763
## 389    0.2399700  -16.32765543   -0.32124170   4.57828079  21.96218763
## 390    0.2399700  -16.32765543   -0.32124170   4.57828079  21.96218763
## 391    0.2399700  -16.32765543   -0.32124170   4.57828079  21.96218763
## 392    0.2399700  -16.32765543   -0.32124170   4.57828079  21.96218763
## 393   -0.4244809   20.40705071   -1.20919384  21.99885004   2.65718644
## 394   -0.4244809   20.40705071   -1.20919384  21.99885004   2.65718644
## 395   -0.4244809   20.40705071   -1.20919384  21.99885004   2.65718644
## 396   -0.4244809   20.40705071   -1.20919384  21.99885004   2.65718644
## 397   -0.4244809   20.40705071   -1.20919384  21.99885004   2.65718644
## 398   -0.4244809   20.40705071   -1.20919384  21.99885004   2.65718644
## 399   -0.4244809   20.40705071   -1.20919384  21.99885004   2.65718644
## 400   -0.4244809   20.40705071   -1.20919384  21.99885004   2.65718644
## 401    6.2297243   -0.54908021    4.48705524   1.11978272  -4.59884648
## 402    6.2297243   -0.54908021    4.48705524   1.11978272  -4.59884648
## 403    6.2297243   -0.54908021    4.48705524   1.11978272  -4.59884648
## 404    6.2297243   -0.54908021    4.48705524   1.11978272  -4.59884648
## 405    6.2297243   -0.54908021    4.48705524   1.11978272  -4.59884648
## 406    6.2297243   -0.54908021    4.48705524   1.11978272  -4.59884648
## 407    6.2297243   -0.54908021    4.48705524   1.11978272  -4.59884648
## 408    6.2297243   -0.54908021    4.48705524   1.11978272  -4.59884648
## 409    5.4920039   -5.97010052    3.09238412   3.37185954  10.92890416
## 410    5.4920039   -5.97010052    3.09238412   3.37185954  10.92890416
## 411    5.4920039   -5.97010052    3.09238412   3.37185954  10.92890416
## 412    5.4920039   -5.97010052    3.09238412   3.37185954  10.92890416
## 413    5.4920039   -5.97010052    3.09238412   3.37185954  10.92890416
## 414    5.4920039   -5.97010052    3.09238412   3.37185954  10.92890416
## 415    5.4920039   -5.97010052    3.09238412   3.37185954  10.92890416
## 416    5.4920039   -5.97010052    3.09238412   3.37185954  10.92890416
## 417   -2.6379333    1.96747189   -4.10202610 -16.15844196 -12.54738573
## 418   -2.6379333    1.96747189   -4.10202610 -16.15844196 -12.54738573
## 419   -2.6379333    1.96747189   -4.10202610 -16.15844196 -12.54738573
## 420   -2.6379333    1.96747189   -4.10202610 -16.15844196 -12.54738573
## 421   -2.6379333    1.96747189   -4.10202610 -16.15844196 -12.54738573
## 422   -2.6379333    1.96747189   -4.10202610 -16.15844196 -12.54738573
## 423   -2.6379333    1.96747189   -4.10202610 -16.15844196 -12.54738573
## 424   -2.6379333    1.96747189   -4.10202610 -16.15844196 -12.54738573
## 425   -6.5772625   -1.37522294    3.35928028  -3.38868666   5.52575046
## 426   -6.5772625   -1.37522294    3.35928028  -3.38868666   5.52575046
## 427   -6.5772625   -1.37522294    3.35928028  -3.38868666   5.52575046
## 428   -6.5772625   -1.37522294    3.35928028  -3.38868666   5.52575046
## 429   -6.5772625   -1.37522294    3.35928028  -3.38868666   5.52575046
## 430   -6.5772625   -1.37522294    3.35928028  -3.38868666   5.52575046
## 431   -6.5772625   -1.37522294    3.35928028  -3.38868666   5.52575046
## 432   -6.5772625   -1.37522294    3.35928028  -3.38868666   5.52575046
## 433    0.5319983   -4.99170437    1.71603181  -0.62702751  -4.44123841
## 434    0.5319983   -4.99170437    1.71603181  -0.62702751  -4.44123841
## 435    0.5319983   -4.99170437    1.71603181  -0.62702751  -4.44123841
## 436    0.5319983   -4.99170437    1.71603181  -0.62702751  -4.44123841
## 437    0.5319983   -4.99170437    1.71603181  -0.62702751  -4.44123841
## 438    0.5319983   -4.99170437    1.71603181  -0.62702751  -4.44123841
## 439    0.5319983   -4.99170437    1.71603181  -0.62702751  -4.44123841
## 440    0.5319983   -4.99170437    1.71603181  -0.62702751  -4.44123841
## 441  -22.6704588   -0.47452418   46.43136939  -1.37261902   0.22484018
## 442  -22.6704588   -0.47452418   46.43136939  -1.37261902   0.22484018
## 443  -22.6704588   -0.47452418   46.43136939  -1.37261902   0.22484018
## 444  -22.6704588   -0.47452418   46.43136939  -1.37261902   0.22484018
## 445  -22.6704588   -0.47452418   46.43136939  -1.37261902   0.22484018
## 446  -22.6704588   -0.47452418   46.43136939  -1.37261902   0.22484018
## 447  -22.6704588   -0.47452418   46.43136939  -1.37261902   0.22484018
## 448  -22.6704588   -0.47452418   46.43136939  -1.37261902   0.22484018
## 449   -1.6281680   -6.87515559   -1.41451298  -4.10582573 -11.20616560
## 450   -1.6281680   -6.87515559   -1.41451298  -4.10582573 -11.20616560
## 451   -1.6281680   -6.87515559   -1.41451298  -4.10582573 -11.20616560
## 452   -1.6281680   -6.87515559   -1.41451298  -4.10582573 -11.20616560
## 453   -1.6281680   -6.87515559   -1.41451298  -4.10582573 -11.20616560
## 454   -1.6281680   -6.87515559   -1.41451298  -4.10582573 -11.20616560
## 455   -1.6281680   -6.87515559   -1.41451298  -4.10582573 -11.20616560
## 456   -1.6281680   -6.87515559   -1.41451298  -4.10582573 -11.20616560
## 457   -4.8840153   -5.28418435    3.87437385   2.07842103   6.59094795
## 458   -4.8840153   -5.28418435    3.87437385   2.07842103   6.59094795
## 459   -4.8840153   -5.28418435    3.87437385   2.07842103   6.59094795
## 460   -4.8840153   -5.28418435    3.87437385   2.07842103   6.59094795
## 461   -4.8840153   -5.28418435    3.87437385   2.07842103   6.59094795
## 462   -4.8840153   -5.28418435    3.87437385   2.07842103   6.59094795
## 463   -4.8840153   -5.28418435    3.87437385   2.07842103   6.59094795
## 464   -4.8840153   -5.28418435    3.87437385   2.07842103   6.59094795
## 465   -1.6892147   -0.84157134   -5.14319984  -0.41857272  -4.04803374
## 466   -1.6892147   -0.84157134   -5.14319984  -0.41857272  -4.04803374
## 467   -1.6892147   -0.84157134   -5.14319984  -0.41857272  -4.04803374
## 468   -1.6892147   -0.84157134   -5.14319984  -0.41857272  -4.04803374
## 469   -1.6892147   -0.84157134   -5.14319984  -0.41857272  -4.04803374
## 470   -1.6892147   -0.84157134   -5.14319984  -0.41857272  -4.04803374
## 471   -1.6892147   -0.84157134   -5.14319984  -0.41857272  -4.04803374
## 472   -1.6892147   -0.84157134   -5.14319984  -0.41857272  -4.04803374
## 473  -18.7472931   -0.29108495  -40.34367367  -2.57720050   0.04699928
## 474  -18.7472931   -0.29108495  -40.34367367  -2.57720050   0.04699928
## 475  -18.7472931   -0.29108495  -40.34367367  -2.57720050   0.04699928
## 476  -18.7472931   -0.29108495  -40.34367367  -2.57720050   0.04699928
## 477  -18.7472931   -0.29108495  -40.34367367  -2.57720050   0.04699928
## 478  -18.7472931   -0.29108495  -40.34367367  -2.57720050   0.04699928
## 479  -18.7472931   -0.29108495  -40.34367367  -2.57720050   0.04699928
## 480  -18.7472931   -0.29108495  -40.34367367  -2.57720050   0.04699928
## 481    8.0316422   -2.37316246   15.85759314   2.68555835  -1.89777855
## 482    8.0316422   -2.37316246   15.85759314   2.68555835  -1.89777855
## 483    8.0316422   -2.37316246   15.85759314   2.68555835  -1.89777855
## 484    8.0316422   -2.37316246   15.85759314   2.68555835  -1.89777855
## 485    8.0316422   -2.37316246   15.85759314   2.68555835  -1.89777855
## 486    8.0316422   -2.37316246   15.85759314   2.68555835  -1.89777855
## 487    8.0316422   -2.37316246   15.85759314   2.68555835  -1.89777855
## 488    8.0316422   -2.37316246   15.85759314   2.68555835  -1.89777855
## 489   -0.7264733   -3.12860413   15.57264154   1.20878025  -3.86891830
## 490   -0.7264733   -3.12860413   15.57264154   1.20878025  -3.86891830
## 491   -0.7264733   -3.12860413   15.57264154   1.20878025  -3.86891830
## 492   -0.7264733   -3.12860413   15.57264154   1.20878025  -3.86891830
## 493   -0.7264733   -3.12860413   15.57264154   1.20878025  -3.86891830
## 494   -0.7264733   -3.12860413   15.57264154   1.20878025  -3.86891830
## 495   -0.7264733   -3.12860413   15.57264154   1.20878025  -3.86891830
## 496   -0.7264733   -3.12860413   15.57264154   1.20878025  -3.86891830
## 497    3.4144561   -5.74663540   -0.51349231  -2.26798366  32.98784781
## 498    3.4144561   -5.74663540   -0.51349231  -2.26798366  32.98784781
## 499    3.4144561   -5.74663540   -0.51349231  -2.26798366  32.98784781
## 500    3.4144561   -5.74663540   -0.51349231  -2.26798366  32.98784781
## 501    3.4144561   -5.74663540   -0.51349231  -2.26798366  32.98784781
## 502    3.4144561   -5.74663540   -0.51349231  -2.26798366  32.98784781
## 503    3.4144561   -5.74663540   -0.51349231  -2.26798366  32.98784781
## 504    3.4144561   -5.74663540   -0.51349231  -2.26798366  32.98784781
## 505  -10.3096175   -0.73469577   50.64301371  -0.42513055   1.56230485
## 506  -10.3096175   -0.73469577   50.64301371  -0.42513055   1.56230485
## 507  -10.3096175   -0.73469577   50.64301371  -0.42513055   1.56230485
## 508  -10.3096175   -0.73469577   50.64301371  -0.42513055   1.56230485
## 509  -10.3096175   -0.73469577   50.64301371  -0.42513055   1.56230485
## 510  -10.3096175   -0.73469577   50.64301371  -0.42513055   1.56230485
## 511  -10.3096175   -0.73469577   50.64301371  -0.42513055   1.56230485
## 512  -10.3096175   -0.73469577   50.64301371  -0.42513055   1.56230485
## 513   -1.3915600    1.14793894   -7.18176805  -2.72956410  -1.35153799
## 514   -1.3915600    1.14793894   -7.18176805  -2.72956410  -1.35153799
## 515   -1.3915600    1.14793894   -7.18176805  -2.72956410  -1.35153799
## 516   -1.3915600    1.14793894   -7.18176805  -2.72956410  -1.35153799
## 517   -1.3915600    1.14793894   -7.18176805  -2.72956410  -1.35153799
## 518   -1.3915600    1.14793894   -7.18176805  -2.72956410  -1.35153799
## 519   -1.3915600    1.14793894   -7.18176805  -2.72956410  -1.35153799
## 520   -1.3915600    1.14793894   -7.18176805  -2.72956410  -1.35153799
## 521    4.3861171    0.86216232   -6.85829670   1.36122118  -0.04237715
## 522    4.3861171    0.86216232   -6.85829670   1.36122118  -0.04237715
## 523    4.3861171    0.86216232   -6.85829670   1.36122118  -0.04237715
## 524    4.3861171    0.86216232   -6.85829670   1.36122118  -0.04237715
## 525    4.3861171    0.86216232   -6.85829670   1.36122118  -0.04237715
## 526    4.3861171    0.86216232   -6.85829670   1.36122118  -0.04237715
## 527    4.3861171    0.86216232   -6.85829670   1.36122118  -0.04237715
## 528    4.3861171    0.86216232   -6.85829670   1.36122118  -0.04237715
## 529   12.4950943   -1.02438473   -4.79998348  -1.91493171  -3.17885369
## 530   12.4950943   -1.02438473   -4.79998348  -1.91493171  -3.17885369
## 531   12.4950943   -1.02438473   -4.79998348  -1.91493171  -3.17885369
## 532   12.4950943   -1.02438473   -4.79998348  -1.91493171  -3.17885369
## 533   12.4950943   -1.02438473   -4.79998348  -1.91493171  -3.17885369
## 534   12.4950943   -1.02438473   -4.79998348  -1.91493171  -3.17885369
## 535   12.4950943   -1.02438473   -4.79998348  -1.91493171  -3.17885369
## 536   12.4950943   -1.02438473   -4.79998348  -1.91493171  -3.17885369
## 537   -4.2650666   -3.19650732    0.85852973   3.57940784   1.91460071
## 538   -4.2650666   -3.19650732    0.85852973   3.57940784   1.91460071
## 539   -4.2650666   -3.19650732    0.85852973   3.57940784   1.91460071
## 540   -4.2650666   -3.19650732    0.85852973   3.57940784   1.91460071
## 541   -4.2650666   -3.19650732    0.85852973   3.57940784   1.91460071
## 542   -4.2650666   -3.19650732    0.85852973   3.57940784   1.91460071
## 543   -4.2650666   -3.19650732    0.85852973   3.57940784   1.91460071
## 544   -4.2650666   -3.19650732    0.85852973   3.57940784   1.91460071
## 545    4.4804616   25.14922447   -0.30501227  -7.48783179 -11.89289871
## 546    4.4804616   25.14922447   -0.30501227  -7.48783179 -11.89289871
## 547    4.4804616   25.14922447   -0.30501227  -7.48783179 -11.89289871
## 548    4.4804616   25.14922447   -0.30501227  -7.48783179 -11.89289871
## 549    4.4804616   25.14922447   -0.30501227  -7.48783179 -11.89289871
## 550    4.4804616   25.14922447   -0.30501227  -7.48783179 -11.89289871
## 551    4.4804616   25.14922447   -0.30501227  -7.48783179 -11.89289871
## 552    4.4804616   25.14922447   -0.30501227  -7.48783179 -11.89289871
## 553   -6.2629558   -2.98951756   -9.14618707   1.08687646   1.19187946
## 554   -6.2629558   -2.98951756   -9.14618707   1.08687646   1.19187946
## 555   -6.2629558   -2.98951756   -9.14618707   1.08687646   1.19187946
## 556   -6.2629558   -2.98951756   -9.14618707   1.08687646   1.19187946
## 557   -6.2629558   -2.98951756   -9.14618707   1.08687646   1.19187946
## 558   -6.2629558   -2.98951756   -9.14618707   1.08687646   1.19187946
## 559   -6.2629558   -2.98951756   -9.14618707   1.08687646   1.19187946
## 560   -6.2629558   -2.98951756   -9.14618707   1.08687646   1.19187946
## 561    2.8976040   -0.27108069   -0.37316608   2.38944001  -5.60733841
## 562    2.8976040   -0.27108069   -0.37316608   2.38944001  -5.60733841
## 563    2.8976040   -0.27108069   -0.37316608   2.38944001  -5.60733841
## 564    2.8976040   -0.27108069   -0.37316608   2.38944001  -5.60733841
## 565    2.8976040   -0.27108069   -0.37316608   2.38944001  -5.60733841
## 566    2.8976040   -0.27108069   -0.37316608   2.38944001  -5.60733841
## 567    2.8976040   -0.27108069   -0.37316608   2.38944001  -5.60733841
## 568    2.8976040   -0.27108069   -0.37316608   2.38944001  -5.60733841
## 569   -3.4773995   22.99407641    1.58480900  15.95938868 -11.99194402
## 570   -3.4773995   22.99407641    1.58480900  15.95938868 -11.99194402
## 571   -3.4773995   22.99407641    1.58480900  15.95938868 -11.99194402
## 572   -3.4773995   22.99407641    1.58480900  15.95938868 -11.99194402
## 573   -3.4773995   22.99407641    1.58480900  15.95938868 -11.99194402
## 574   -3.4773995   22.99407641    1.58480900  15.95938868 -11.99194402
## 575   -3.4773995   22.99407641    1.58480900  15.95938868 -11.99194402
## 576   -3.4773995   22.99407641    1.58480900  15.95938868 -11.99194402
## 577    2.3249914   -6.56847610   -1.44841688  -7.96220275  -2.41521071
## 578    2.3249914   -6.56847610   -1.44841688  -7.96220275  -2.41521071
## 579    2.3249914   -6.56847610   -1.44841688  -7.96220275  -2.41521071
## 580    2.3249914   -6.56847610   -1.44841688  -7.96220275  -2.41521071
## 581    2.3249914   -6.56847610   -1.44841688  -7.96220275  -2.41521071
## 582    2.3249914   -6.56847610   -1.44841688  -7.96220275  -2.41521071
## 583    2.3249914   -6.56847610   -1.44841688  -7.96220275  -2.41521071
## 584    2.3249914   -6.56847610   -1.44841688  -7.96220275  -2.41521071
## 585   15.7502622    1.14037779   18.71276464   1.37315773   1.75322999
## 586   15.7502622    1.14037779   18.71276464   1.37315773   1.75322999
## 587   15.7502622    1.14037779   18.71276464   1.37315773   1.75322999
## 588   15.7502622    1.14037779   18.71276464   1.37315773   1.75322999
## 589   15.7502622    1.14037779   18.71276464   1.37315773   1.75322999
## 590   15.7502622    1.14037779   18.71276464   1.37315773   1.75322999
## 591   15.7502622    1.14037779   18.71276464   1.37315773   1.75322999
## 592   15.7502622    1.14037779   18.71276464   1.37315773   1.75322999
## 593    3.6919532   -2.49476117  -26.69909986   0.99275803  -1.96033009
## 594    3.6919532   -2.49476117  -26.69909986   0.99275803  -1.96033009
## 595    3.6919532   -2.49476117  -26.69909986   0.99275803  -1.96033009
## 596    3.6919532   -2.49476117  -26.69909986   0.99275803  -1.96033009
## 597    3.6919532   -2.49476117  -26.69909986   0.99275803  -1.96033009
## 598    3.6919532   -2.49476117  -26.69909986   0.99275803  -1.96033009
## 599    3.6919532   -2.49476117  -26.69909986   0.99275803  -1.96033009
## 600    3.6919532   -2.49476117  -26.69909986   0.99275803  -1.96033009
## 601    4.3934400   -7.58291096    2.68956922  -2.55352233  -7.10963658
## 602    4.3934400   -7.58291096    2.68956922  -2.55352233  -7.10963658
## 603    4.3934400   -7.58291096    2.68956922  -2.55352233  -7.10963658
## 604    4.3934400   -7.58291096    2.68956922  -2.55352233  -7.10963658
## 605    4.3934400   -7.58291096    2.68956922  -2.55352233  -7.10963658
## 606    4.3934400   -7.58291096    2.68956922  -2.55352233  -7.10963658
## 607    4.3934400   -7.58291096    2.68956922  -2.55352233  -7.10963658
## 608    4.3934400   -7.58291096    2.68956922  -2.55352233  -7.10963658
## 609    1.8144455    8.72979043   -2.80583642   3.47868651  79.69273511
## 610    1.8144455    8.72979043   -2.80583642   3.47868651  79.69273511
## 611    1.8144455    8.72979043   -2.80583642   3.47868651  79.69273511
## 612    1.8144455    8.72979043   -2.80583642   3.47868651  79.69273511
## 613    1.8144455    8.72979043   -2.80583642   3.47868651  79.69273511
## 614    1.8144455    8.72979043   -2.80583642   3.47868651  79.69273511
## 615    1.8144455    8.72979043   -2.80583642   3.47868651  79.69273511
## 616    1.8144455    8.72979043   -2.80583642   3.47868651  79.69273511
## 617    5.3981623    4.38328841   -1.54170964   2.87472821  -2.80430551
## 618    5.3981623    4.38328841   -1.54170964   2.87472821  -2.80430551
## 619    5.3981623    4.38328841   -1.54170964   2.87472821  -2.80430551
## 620    5.3981623    4.38328841   -1.54170964   2.87472821  -2.80430551
## 621    5.3981623    4.38328841   -1.54170964   2.87472821  -2.80430551
## 622    5.3981623    4.38328841   -1.54170964   2.87472821  -2.80430551
## 623    5.3981623    4.38328841   -1.54170964   2.87472821  -2.80430551
## 624    5.3981623    4.38328841   -1.54170964   2.87472821  -2.80430551
## 625    8.4009465   -4.32136318    7.40642174   7.39712327  -0.01323440
## 626    8.4009465   -4.32136318    7.40642174   7.39712327  -0.01323440
## 627    8.4009465   -4.32136318    7.40642174   7.39712327  -0.01323440
## 628    8.4009465   -4.32136318    7.40642174   7.39712327  -0.01323440
## 629    8.4009465   -4.32136318    7.40642174   7.39712327  -0.01323440
## 630    8.4009465   -4.32136318    7.40642174   7.39712327  -0.01323440
## 631    8.4009465   -4.32136318    7.40642174   7.39712327  -0.01323440
## 632    8.4009465   -4.32136318    7.40642174   7.39712327  -0.01323440
## 633    1.1335713  -11.56836709   -2.16708457   0.84880532   1.12251106
## 634    1.1335713  -11.56836709   -2.16708457   0.84880532   1.12251106
## 635    1.1335713  -11.56836709   -2.16708457   0.84880532   1.12251106
## 636    1.1335713  -11.56836709   -2.16708457   0.84880532   1.12251106
## 637    1.1335713  -11.56836709   -2.16708457   0.84880532   1.12251106
## 638    1.1335713  -11.56836709   -2.16708457   0.84880532   1.12251106
## 639    1.1335713  -11.56836709   -2.16708457   0.84880532   1.12251106
## 640    1.1335713  -11.56836709   -2.16708457   0.84880532   1.12251106
## 641  -10.4028011   -2.25998858   24.31783497   1.46616585  -1.46744184
## 642  -10.4028011   -2.25998858   24.31783497   1.46616585  -1.46744184
## 643  -10.4028011   -2.25998858   24.31783497   1.46616585  -1.46744184
## 644  -10.4028011   -2.25998858   24.31783497   1.46616585  -1.46744184
## 645  -10.4028011   -2.25998858   24.31783497   1.46616585  -1.46744184
## 646  -10.4028011   -2.25998858   24.31783497   1.46616585  -1.46744184
## 647  -10.4028011   -2.25998858   24.31783497   1.46616585  -1.46744184
## 648  -10.4028011   -2.25998858   24.31783497   1.46616585  -1.46744184
## 649   -1.8955170   -0.01111234    3.05208220   2.76951052  -0.10860892
## 650   -1.8955170   -0.01111234    3.05208220   2.76951052  -0.10860892
## 651   -1.8955170   -0.01111234    3.05208220   2.76951052  -0.10860892
## 652   -1.8955170   -0.01111234    3.05208220   2.76951052  -0.10860892
## 653   -1.8955170   -0.01111234    3.05208220   2.76951052  -0.10860892
## 654   -1.8955170   -0.01111234    3.05208220   2.76951052  -0.10860892
## 655   -1.8955170   -0.01111234    3.05208220   2.76951052  -0.10860892
## 656   -1.8955170   -0.01111234    3.05208220   2.76951052  -0.10860892
## 657   11.4996974   -1.63150217    7.91102996  -2.17073020  -0.22561511
## 658   11.4996974   -1.63150217    7.91102996  -2.17073020  -0.22561511
## 659   11.4996974   -1.63150217    7.91102996  -2.17073020  -0.22561511
## 660   11.4996974   -1.63150217    7.91102996  -2.17073020  -0.22561511
## 661   11.4996974   -1.63150217    7.91102996  -2.17073020  -0.22561511
## 662   11.4996974   -1.63150217    7.91102996  -2.17073020  -0.22561511
## 663   11.4996974   -1.63150217    7.91102996  -2.17073020  -0.22561511
## 664   11.4996974   -1.63150217    7.91102996  -2.17073020  -0.22561511
## 665   15.9945940   -0.09752376   13.81159021  -0.54724080  -0.56149925
## 666   15.9945940   -0.09752376   13.81159021  -0.54724080  -0.56149925
## 667   15.9945940   -0.09752376   13.81159021  -0.54724080  -0.56149925
## 668   15.9945940   -0.09752376   13.81159021  -0.54724080  -0.56149925
## 669   15.9945940   -0.09752376   13.81159021  -0.54724080  -0.56149925
## 670   15.9945940   -0.09752376   13.81159021  -0.54724080  -0.56149925
## 671   15.9945940   -0.09752376   13.81159021  -0.54724080  -0.56149925
## 672   15.9945940   -0.09752376   13.81159021  -0.54724080  -0.56149925
## 673    1.3970520   56.82774098   -0.23522279 -32.53446353  -8.78971778
## 674    1.3970520   56.82774098   -0.23522279 -32.53446353  -8.78971778
## 675    1.3970520   56.82774098   -0.23522279 -32.53446353  -8.78971778
## 676    1.3970520   56.82774098   -0.23522279 -32.53446353  -8.78971778
## 677    1.3970520   56.82774098   -0.23522279 -32.53446353  -8.78971778
## 678    1.3970520   56.82774098   -0.23522279 -32.53446353  -8.78971778
## 679    1.3970520   56.82774098   -0.23522279 -32.53446353  -8.78971778
## 680    1.3970520   56.82774098   -0.23522279 -32.53446353  -8.78971778
## 681   13.9234345   -3.92262517   -0.91990157  -3.44093261   2.61275212
## 682   13.9234345   -3.92262517   -0.91990157  -3.44093261   2.61275212
## 683   13.9234345   -3.92262517   -0.91990157  -3.44093261   2.61275212
## 684   13.9234345   -3.92262517   -0.91990157  -3.44093261   2.61275212
## 685   13.9234345   -3.92262517   -0.91990157  -3.44093261   2.61275212
## 686   13.9234345   -3.92262517   -0.91990157  -3.44093261   2.61275212
## 687   13.9234345   -3.92262517   -0.91990157  -3.44093261   2.61275212
## 688   13.9234345   -3.92262517   -0.91990157  -3.44093261   2.61275212
## 689    4.0321132  -39.53211910   -4.04050002 -16.62933402  14.56059463
## 690    4.0321132  -39.53211910   -4.04050002 -16.62933402  14.56059463
## 691    4.0321132  -39.53211910   -4.04050002 -16.62933402  14.56059463
## 692    4.0321132  -39.53211910   -4.04050002 -16.62933402  14.56059463
## 693    4.0321132  -39.53211910   -4.04050002 -16.62933402  14.56059463
## 694    4.0321132  -39.53211910   -4.04050002 -16.62933402  14.56059463
## 695    4.0321132  -39.53211910   -4.04050002 -16.62933402  14.56059463
## 696    4.0321132  -39.53211910   -4.04050002 -16.62933402  14.56059463
## 697   20.4960945   -0.89677411  -15.45829850  -0.46444636  -0.97371673
## 698   20.4960945   -0.89677411  -15.45829850  -0.46444636  -0.97371673
## 699   20.4960945   -0.89677411  -15.45829850  -0.46444636  -0.97371673
## 700   20.4960945   -0.89677411  -15.45829850  -0.46444636  -0.97371673
## 701   20.4960945   -0.89677411  -15.45829850  -0.46444636  -0.97371673
## 702   20.4960945   -0.89677411  -15.45829850  -0.46444636  -0.97371673
## 703   20.4960945   -0.89677411  -15.45829850  -0.46444636  -0.97371673
## 704   20.4960945   -0.89677411  -15.45829850  -0.46444636  -0.97371673
## 705    5.7009017   12.67445747    1.02004661  26.92160781   4.94406568
## 706    5.7009017   12.67445747    1.02004661  26.92160781   4.94406568
## 707    5.7009017   12.67445747    1.02004661  26.92160781   4.94406568
## 708    5.7009017   12.67445747    1.02004661  26.92160781   4.94406568
## 709    5.7009017   12.67445747    1.02004661  26.92160781   4.94406568
## 710    5.7009017   12.67445747    1.02004661  26.92160781   4.94406568
## 711    5.7009017   12.67445747    1.02004661  26.92160781   4.94406568
## 712    5.7009017   12.67445747    1.02004661  26.92160781   4.94406568
## 713    4.6945058   -2.39826226    0.24184506  -9.97148385   7.41270122
## 714    4.6945058   -2.39826226    0.24184506  -9.97148385   7.41270122
## 715    4.6945058   -2.39826226    0.24184506  -9.97148385   7.41270122
## 716    4.6945058   -2.39826226    0.24184506  -9.97148385   7.41270122
## 717    4.6945058   -2.39826226    0.24184506  -9.97148385   7.41270122
## 718    4.6945058   -2.39826226    0.24184506  -9.97148385   7.41270122
## 719    4.6945058   -2.39826226    0.24184506  -9.97148385   7.41270122
## 720    4.6945058   -2.39826226    0.24184506  -9.97148385   7.41270122
## 721    3.6309358  -13.95873187   -1.48581185  -4.66285404  -6.82647643
## 722    3.6309358  -13.95873187   -1.48581185  -4.66285404  -6.82647643
## 723    3.6309358  -13.95873187   -1.48581185  -4.66285404  -6.82647643
## 724    3.6309358  -13.95873187   -1.48581185  -4.66285404  -6.82647643
## 725    3.6309358  -13.95873187   -1.48581185  -4.66285404  -6.82647643
## 726    3.6309358  -13.95873187   -1.48581185  -4.66285404  -6.82647643
## 727    3.6309358  -13.95873187   -1.48581185  -4.66285404  -6.82647643
## 728    3.6309358  -13.95873187   -1.48581185  -4.66285404  -6.82647643
## 729   40.0354047    2.59406803   11.04894173  -0.66248763   0.41668850
## 730   40.0354047    2.59406803   11.04894173  -0.66248763   0.41668850
## 731   40.0354047    2.59406803   11.04894173  -0.66248763   0.41668850
## 732   40.0354047    2.59406803   11.04894173  -0.66248763   0.41668850
## 733   40.0354047    2.59406803   11.04894173  -0.66248763   0.41668850
## 734   40.0354047    2.59406803   11.04894173  -0.66248763   0.41668850
## 735   40.0354047    2.59406803   11.04894173  -0.66248763   0.41668850
## 736   40.0354047    2.59406803   11.04894173  -0.66248763   0.41668850
## 737    6.7730799   11.27258511    0.12247160  -8.36755877  -7.82770649
## 738    6.7730799   11.27258511    0.12247160  -8.36755877  -7.82770649
## 739    6.7730799   11.27258511    0.12247160  -8.36755877  -7.82770649
## 740    6.7730799   11.27258511    0.12247160  -8.36755877  -7.82770649
## 741    6.7730799   11.27258511    0.12247160  -8.36755877  -7.82770649
## 742    6.7730799   11.27258511    0.12247160  -8.36755877  -7.82770649
## 743    6.7730799   11.27258511    0.12247160  -8.36755877  -7.82770649
## 744    6.7730799   11.27258511    0.12247160  -8.36755877  -7.82770649
## 745    1.6718763   -4.75479986   -2.10793498  -0.05586448  14.08506458
## 746    1.6718763   -4.75479986   -2.10793498  -0.05586448  14.08506458
## 747    1.6718763   -4.75479986   -2.10793498  -0.05586448  14.08506458
## 748    1.6718763   -4.75479986   -2.10793498  -0.05586448  14.08506458
## 749    1.6718763   -4.75479986   -2.10793498  -0.05586448  14.08506458
## 750    1.6718763   -4.75479986   -2.10793498  -0.05586448  14.08506458
## 751    1.6718763   -4.75479986   -2.10793498  -0.05586448  14.08506458
## 752    1.6718763   -4.75479986   -2.10793498  -0.05586448  14.08506458
## 753    8.0844587   -2.55675541   -3.89632557   6.16307718   0.17022179
## 754    8.0844587   -2.55675541   -3.89632557   6.16307718   0.17022179
## 755    8.0844587   -2.55675541   -3.89632557   6.16307718   0.17022179
## 756    8.0844587   -2.55675541   -3.89632557   6.16307718   0.17022179
## 757    8.0844587   -2.55675541   -3.89632557   6.16307718   0.17022179
## 758    8.0844587   -2.55675541   -3.89632557   6.16307718   0.17022179
## 759    8.0844587   -2.55675541   -3.89632557   6.16307718   0.17022179
## 760    8.0844587   -2.55675541   -3.89632557   6.16307718   0.17022179
## 761    4.7275025   -6.20212693   -9.55836574  -0.09188970 -10.02603143
## 762    4.7275025   -6.20212693   -9.55836574  -0.09188970 -10.02603143
## 763    4.7275025   -6.20212693   -9.55836574  -0.09188970 -10.02603143
## 764    4.7275025   -6.20212693   -9.55836574  -0.09188970 -10.02603143
## 765    4.7275025   -6.20212693   -9.55836574  -0.09188970 -10.02603143
## 766    4.7275025   -6.20212693   -9.55836574  -0.09188970 -10.02603143
## 767    4.7275025   -6.20212693   -9.55836574  -0.09188970 -10.02603143
## 768    4.7275025   -6.20212693   -9.55836574  -0.09188970 -10.02603143
## 769   -1.1575943    2.32367472   -2.40209783 -13.04712203   1.48963750
## 770   -1.1575943    2.32367472   -2.40209783 -13.04712203   1.48963750
## 771   -1.1575943    2.32367472   -2.40209783 -13.04712203   1.48963750
## 772   -1.1575943    2.32367472   -2.40209783 -13.04712203   1.48963750
## 773   -1.1575943    2.32367472   -2.40209783 -13.04712203   1.48963750
## 774   -1.1575943    2.32367472   -2.40209783 -13.04712203   1.48963750
## 775   -1.1575943    2.32367472   -2.40209783 -13.04712203   1.48963750
## 776   -1.1575943    2.32367472   -2.40209783 -13.04712203   1.48963750
## 777    8.9265643   -3.76877844   -7.01160620  -1.83175159   1.03487195
## 778    8.9265643   -3.76877844   -7.01160620  -1.83175159   1.03487195
## 779    8.9265643   -3.76877844   -7.01160620  -1.83175159   1.03487195
## 780    8.9265643   -3.76877844   -7.01160620  -1.83175159   1.03487195
## 781    8.9265643   -3.76877844   -7.01160620  -1.83175159   1.03487195
## 782    8.9265643   -3.76877844   -7.01160620  -1.83175159   1.03487195
## 783    8.9265643   -3.76877844   -7.01160620  -1.83175159   1.03487195
## 784    8.9265643   -3.76877844   -7.01160620  -1.83175159   1.03487195
## 785   97.8659352    0.65405746  -21.85357218  -1.57319391  -0.64566218
## 786   97.8659352    0.65405746  -21.85357218  -1.57319391  -0.64566218
## 787   97.8659352    0.65405746  -21.85357218  -1.57319391  -0.64566218
## 788   97.8659352    0.65405746  -21.85357218  -1.57319391  -0.64566218
## 789   97.8659352    0.65405746  -21.85357218  -1.57319391  -0.64566218
## 790   97.8659352    0.65405746  -21.85357218  -1.57319391  -0.64566218
## 791   97.8659352    0.65405746  -21.85357218  -1.57319391  -0.64566218
## 792   97.8659352    0.65405746  -21.85357218  -1.57319391  -0.64566218
## 793    2.4069927    2.38913689   -9.59513850   0.06291525   3.47015517
## 794    2.4069927    2.38913689   -9.59513850   0.06291525   3.47015517
## 795    2.4069927    2.38913689   -9.59513850   0.06291525   3.47015517
## 796    2.4069927    2.38913689   -9.59513850   0.06291525   3.47015517
## 797    2.4069927    2.38913689   -9.59513850   0.06291525   3.47015517
## 798    2.4069927    2.38913689   -9.59513850   0.06291525   3.47015517
## 799    2.4069927    2.38913689   -9.59513850   0.06291525   3.47015517
## 800    2.4069927    2.38913689   -9.59513850   0.06291525   3.47015517
## 801    5.7558626  -37.55522033   -5.88047155  -1.91455718 -24.76968949
## 802    5.7558626  -37.55522033   -5.88047155  -1.91455718 -24.76968949
## 803    5.7558626  -37.55522033   -5.88047155  -1.91455718 -24.76968949
## 804    5.7558626  -37.55522033   -5.88047155  -1.91455718 -24.76968949
## 805    5.7558626  -37.55522033   -5.88047155  -1.91455718 -24.76968949
## 806    5.7558626  -37.55522033   -5.88047155  -1.91455718 -24.76968949
## 807    5.7558626  -37.55522033   -5.88047155  -1.91455718 -24.76968949
## 808    5.7558626  -37.55522033   -5.88047155  -1.91455718 -24.76968949
## 809    5.5680008   -2.12629004   -8.07168724  -3.43011932   8.65304833
## 810    5.5680008   -2.12629004   -8.07168724  -3.43011932   8.65304833
## 811    5.5680008   -2.12629004   -8.07168724  -3.43011932   8.65304833
## 812    5.5680008   -2.12629004   -8.07168724  -3.43011932   8.65304833
## 813    5.5680008   -2.12629004   -8.07168724  -3.43011932   8.65304833
## 814    5.5680008   -2.12629004   -8.07168724  -3.43011932   8.65304833
## 815    5.5680008   -2.12629004   -8.07168724  -3.43011932   8.65304833
## 816    5.5680008   -2.12629004   -8.07168724  -3.43011932   8.65304833
## 817    3.4893444    2.76374887   -2.18868281   9.11896612  -4.30220518
## 818    3.4893444    2.76374887   -2.18868281   9.11896612  -4.30220518
## 819    3.4893444    2.76374887   -2.18868281   9.11896612  -4.30220518
## 820    3.4893444    2.76374887   -2.18868281   9.11896612  -4.30220518
## 821    3.4893444    2.76374887   -2.18868281   9.11896612  -4.30220518
## 822    3.4893444    2.76374887   -2.18868281   9.11896612  -4.30220518
## 823    3.4893444    2.76374887   -2.18868281   9.11896612  -4.30220518
## 824    3.4893444    2.76374887   -2.18868281   9.11896612  -4.30220518
## 825   21.3035787    4.16147710   -5.92410182  -2.31965045  -3.59792197
## 826   21.3035787    4.16147710   -5.92410182  -2.31965045  -3.59792197
## 827   21.3035787    4.16147710   -5.92410182  -2.31965045  -3.59792197
## 828   21.3035787    4.16147710   -5.92410182  -2.31965045  -3.59792197
## 829   21.3035787    4.16147710   -5.92410182  -2.31965045  -3.59792197
## 830   21.3035787    4.16147710   -5.92410182  -2.31965045  -3.59792197
## 831   21.3035787    4.16147710   -5.92410182  -2.31965045  -3.59792197
## 832   21.3035787    4.16147710   -5.92410182  -2.31965045  -3.59792197
## 833   -1.0537012   -3.75791913    2.41632461 -10.06785574  -2.10376239
## 834   -1.0537012   -3.75791913    2.41632461 -10.06785574  -2.10376239
## 835   -1.0537012   -3.75791913    2.41632461 -10.06785574  -2.10376239
## 836   -1.0537012   -3.75791913    2.41632461 -10.06785574  -2.10376239
## 837   -1.0537012   -3.75791913    2.41632461 -10.06785574  -2.10376239
## 838   -1.0537012   -3.75791913    2.41632461 -10.06785574  -2.10376239
## 839   -1.0537012   -3.75791913    2.41632461 -10.06785574  -2.10376239
## 840   -1.0537012   -3.75791913    2.41632461 -10.06785574  -2.10376239
## 841    3.4697613    0.64731033  -10.62392772   1.05820711   0.29239150
## 842    3.4697613    0.64731033  -10.62392772   1.05820711   0.29239150
## 843    3.4697613    0.64731033  -10.62392772   1.05820711   0.29239150
## 844    3.4697613    0.64731033  -10.62392772   1.05820711   0.29239150
## 845    3.4697613    0.64731033  -10.62392772   1.05820711   0.29239150
## 846    3.4697613    0.64731033  -10.62392772   1.05820711   0.29239150
## 847    3.4697613    0.64731033  -10.62392772   1.05820711   0.29239150
## 848    3.4697613    0.64731033  -10.62392772   1.05820711   0.29239150
## 849    5.7082156   -1.80748488   -4.81778028  -0.94232504   1.31465980
## 850    5.7082156   -1.80748488   -4.81778028  -0.94232504   1.31465980
## 851    5.7082156   -1.80748488   -4.81778028  -0.94232504   1.31465980
## 852    5.7082156   -1.80748488   -4.81778028  -0.94232504   1.31465980
## 853    5.7082156   -1.80748488   -4.81778028  -0.94232504   1.31465980
## 854    5.7082156   -1.80748488   -4.81778028  -0.94232504   1.31465980
## 855    5.7082156   -1.80748488   -4.81778028  -0.94232504   1.31465980
## 856    5.7082156   -1.80748488   -4.81778028  -0.94232504   1.31465980
## 857    4.3495660   -0.69166394    0.40275388  -1.02402069   3.45406169
## 858    4.3495660   -0.69166394    0.40275388  -1.02402069   3.45406169
## 859    4.3495660   -0.69166394    0.40275388  -1.02402069   3.45406169
## 860    4.3495660   -0.69166394    0.40275388  -1.02402069   3.45406169
## 861    4.3495660   -0.69166394    0.40275388  -1.02402069   3.45406169
## 862    4.3495660   -0.69166394    0.40275388  -1.02402069   3.45406169
## 863    4.3495660   -0.69166394    0.40275388  -1.02402069   3.45406169
## 864    4.3495660   -0.69166394    0.40275388  -1.02402069   3.45406169
## 865    0.9833390    0.87215140   -1.12735308   0.65665468  -0.46297329
## 866    0.9833390    0.87215140   -1.12735308   0.65665468  -0.46297329
## 867    0.9833390    0.87215140   -1.12735308   0.65665468  -0.46297329
## 868    0.9833390    0.87215140   -1.12735308   0.65665468  -0.46297329
## 869    0.9833390    0.87215140   -1.12735308   0.65665468  -0.46297329
## 870    0.9833390    0.87215140   -1.12735308   0.65665468  -0.46297329
## 871    0.9833390    0.87215140   -1.12735308   0.65665468  -0.46297329
## 872    0.9833390    0.87215140   -1.12735308   0.65665468  -0.46297329
## 873   -3.0369824   -0.15975004  -34.82563140   1.70521313   1.15073927
## 874   -3.0369824   -0.15975004  -34.82563140   1.70521313   1.15073927
## 875   -3.0369824   -0.15975004  -34.82563140   1.70521313   1.15073927
## 876   -3.0369824   -0.15975004  -34.82563140   1.70521313   1.15073927
## 877   -3.0369824   -0.15975004  -34.82563140   1.70521313   1.15073927
## 878   -3.0369824   -0.15975004  -34.82563140   1.70521313   1.15073927
## 879   -3.0369824   -0.15975004  -34.82563140   1.70521313   1.15073927
## 880   -3.0369824   -0.15975004  -34.82563140   1.70521313   1.15073927
## 881    4.9309148   48.98044621   -1.35554619  67.73263880 -11.08073074
## 882    4.9309148   48.98044621   -1.35554619  67.73263880 -11.08073074
## 883    4.9309148   48.98044621   -1.35554619  67.73263880 -11.08073074
## 884    4.9309148   48.98044621   -1.35554619  67.73263880 -11.08073074
## 885    4.9309148   48.98044621   -1.35554619  67.73263880 -11.08073074
## 886    4.9309148   48.98044621   -1.35554619  67.73263880 -11.08073074
## 887    4.9309148   48.98044621   -1.35554619  67.73263880 -11.08073074
## 888    4.9309148   48.98044621   -1.35554619  67.73263880 -11.08073074
## 889    2.4969848  -11.50547112    0.10483949   2.77617856  -3.85816900
## 890    2.4969848  -11.50547112    0.10483949   2.77617856  -3.85816900
## 891    2.4969848  -11.50547112    0.10483949   2.77617856  -3.85816900
## 892    2.4969848  -11.50547112    0.10483949   2.77617856  -3.85816900
## 893    2.4969848  -11.50547112    0.10483949   2.77617856  -3.85816900
## 894    2.4969848  -11.50547112    0.10483949   2.77617856  -3.85816900
## 895    2.4969848  -11.50547112    0.10483949   2.77617856  -3.85816900
## 896    2.4969848  -11.50547112    0.10483949   2.77617856  -3.85816900
## 897   29.8022269   -0.13012219   35.56641138  -2.17369469   1.06332898
## 898   29.8022269   -0.13012219   35.56641138  -2.17369469   1.06332898
## 899   29.8022269   -0.13012219   35.56641138  -2.17369469   1.06332898
## 900   29.8022269   -0.13012219   35.56641138  -2.17369469   1.06332898
## 901   29.8022269   -0.13012219   35.56641138  -2.17369469   1.06332898
## 902   29.8022269   -0.13012219   35.56641138  -2.17369469   1.06332898
## 903   29.8022269   -0.13012219   35.56641138  -2.17369469   1.06332898
## 904   29.8022269   -0.13012219   35.56641138  -2.17369469   1.06332898
## 905    3.6902623    0.33696807   -4.82207573  -4.54343169   3.42341929
## 906    3.6902623    0.33696807   -4.82207573  -4.54343169   3.42341929
## 907    3.6902623    0.33696807   -4.82207573  -4.54343169   3.42341929
## 908    3.6902623    0.33696807   -4.82207573  -4.54343169   3.42341929
## 909    3.6902623    0.33696807   -4.82207573  -4.54343169   3.42341929
## 910    3.6902623    0.33696807   -4.82207573  -4.54343169   3.42341929
## 911    3.6902623    0.33696807   -4.82207573  -4.54343169   3.42341929
## 912    3.6902623    0.33696807   -4.82207573  -4.54343169   3.42341929
## 913   15.6004168    0.30284726  -15.64095271   0.30624363   2.81694460
## 914   15.6004168    0.30284726  -15.64095271   0.30624363   2.81694460
## 915   15.6004168    0.30284726  -15.64095271   0.30624363   2.81694460
## 916   15.6004168    0.30284726  -15.64095271   0.30624363   2.81694460
## 917   15.6004168    0.30284726  -15.64095271   0.30624363   2.81694460
## 918   -8.9528814 -115.34019990    6.76231050  -9.02693437 -47.82640305
## 919   -8.9528814 -115.34019990    6.76231050  -9.02693437 -47.82640305
## 920   -8.9528814 -115.34019990    6.76231050  -9.02693437 -47.82640305
## 921   -8.9528814 -115.34019990    6.76231050  -9.02693437 -47.82640305
## 922   -8.9528814 -115.34019990    6.76231050  -9.02693437 -47.82640305
## 923           NA            NA            NA           NA           NA
## 924           NA            NA            NA           NA           NA
## 925           NA            NA            NA           NA           NA
## 926           NA            NA            NA           NA           NA
## 927           NA            NA            NA           NA           NA
## 928           NA            NA            NA           NA           NA
## 929           NA            NA            NA           NA           NA
## 930           NA            NA            NA           NA           NA
## 931           NA            NA            NA           NA           NA
## 932           NA            NA            NA           NA           NA
## 933           NA            NA            NA           NA           NA
## 934           NA            NA            NA           NA           NA
## 935           NA            NA            NA           NA           NA
## 936           NA            NA            NA           NA           NA
## 937           NA            NA            NA           NA           NA
## 938  -10.1967733   22.46851912    7.39229625 -12.01438680 -20.02444412
## 939  -10.1967733   22.46851912    7.39229625 -12.01438680 -20.02444412
## 940  -10.1967733   22.46851912    7.39229625 -12.01438680 -20.02444412
## 941  -10.1967733   22.46851912    7.39229625 -12.01438680 -20.02444412
## 942  -10.1967733   22.46851912    7.39229625 -12.01438680 -20.02444412
## 943           NA            NA            NA           NA           NA
## 944           NA            NA            NA           NA           NA
## 945           NA            NA            NA           NA           NA
## 946           NA            NA            NA           NA           NA
## 947           NA            NA            NA           NA           NA
## 948           NA            NA            NA           NA           NA
## 949           NA            NA            NA           NA           NA
## 950           NA            NA            NA           NA           NA
## 951           NA            NA            NA           NA           NA
## 952           NA            NA            NA           NA           NA
## 953   -8.1955100   -0.88732564    2.15948182   0.52995856  -4.12859576
## 954   -8.1955100   -0.88732564    2.15948182   0.52995856  -4.12859576
## 955   -8.1955100   -0.88732564    2.15948182   0.52995856  -4.12859576
## 956   -8.1955100   -0.88732564    2.15948182   0.52995856  -4.12859576
## 957   -8.1955100   -0.88732564    2.15948182   0.52995856  -4.12859576
## 958   -8.3874555  -24.14787005    7.56267645  22.93036870  -3.95736040
## 959   -8.3874555  -24.14787005    7.56267645  22.93036870  -3.95736040
## 960   -8.3874555  -24.14787005    7.56267645  22.93036870  -3.95736040
## 961   -8.3874555  -24.14787005    7.56267645  22.93036870  -3.95736040
## 962   -8.3874555  -24.14787005    7.56267645  22.93036870  -3.95736040
## 963           NA            NA            NA           NA           NA
## 964           NA            NA            NA           NA           NA
## 965           NA            NA            NA           NA           NA
## 966           NA            NA            NA           NA           NA
## 967           NA            NA            NA           NA           NA
## 968           NA            NA            NA           NA           NA
## 969           NA            NA            NA           NA           NA
## 970           NA            NA            NA           NA           NA
## 971           NA            NA            NA           NA           NA
## 972           NA            NA            NA           NA           NA
## 973   -6.1131092    4.09030993   -7.27917255   2.60663826   1.00877924
## 974   -6.1131092    4.09030993   -7.27917255   2.60663826   1.00877924
## 975   -6.1131092    4.09030993   -7.27917255   2.60663826   1.00877924
## 976   -6.1131092    4.09030993   -7.27917255   2.60663826   1.00877924
## 977   -6.1131092    4.09030993   -7.27917255   2.60663826   1.00877924
## 978  -10.3933677    4.61263674   11.44571538   0.87574088   0.60879714
## 979  -10.3933677    4.61263674   11.44571538   0.87574088   0.60879714
## 980  -10.3933677    4.61263674   11.44571538   0.87574088   0.60879714
## 981  -10.3933677    4.61263674   11.44571538   0.87574088   0.60879714
## 982  -10.3933677    4.61263674   11.44571538   0.87574088   0.60879714
## 983           NA            NA            NA           NA           NA
## 984           NA            NA            NA           NA           NA
## 985           NA            NA            NA           NA           NA
## 986           NA            NA            NA           NA           NA
## 987           NA            NA            NA           NA           NA
## 988           NA            NA            NA           NA           NA
## 989           NA            NA            NA           NA           NA
## 990           NA            NA            NA           NA           NA
## 991           NA            NA            NA           NA           NA
## 992           NA            NA            NA           NA           NA
## 993  -13.5652047    1.58301865   25.60332088  -0.22836089   2.12582545
## 994  -13.5652047    1.58301865   25.60332088  -0.22836089   2.12582545
## 995  -13.5652047    1.58301865   25.60332088  -0.22836089   2.12582545
## 996  -13.5652047    1.58301865   25.60332088  -0.22836089   2.12582545
## 997  -13.5652047    1.58301865   25.60332088  -0.22836089   2.12582545
## 998           NA            NA            NA           NA           NA
## 999           NA            NA            NA           NA           NA
## 1000          NA            NA            NA           NA           NA
## 1001          NA            NA            NA           NA           NA
## 1002          NA            NA            NA           NA           NA
## 1003          NA            NA            NA           NA           NA
## 1004          NA            NA            NA           NA           NA
## 1005          NA            NA            NA           NA           NA
## 1006          NA            NA            NA           NA           NA
## 1007          NA            NA            NA           NA           NA
## 1008 -16.0634054   -8.66363837   15.17012242  -0.40226533   9.72428358
## 1009 -16.0634054   -8.66363837   15.17012242  -0.40226533   9.72428358
## 1010 -16.0634054   -8.66363837   15.17012242  -0.40226533   9.72428358
## 1011 -16.0634054   -8.66363837   15.17012242  -0.40226533   9.72428358
## 1012 -16.0634054   -8.66363837   15.17012242  -0.40226533   9.72428358
## 1013 -97.6626591    3.73007823   -3.12416023  -0.25265590   3.10850038
## 1014 -97.6626591    3.73007823   -3.12416023  -0.25265590   3.10850038
## 1015 -97.6626591    3.73007823   -3.12416023  -0.25265590   3.10850038
## 1016 -97.6626591    3.73007823   -3.12416023  -0.25265590   3.10850038
## 1017 -97.6626591    3.73007823   -3.12416023  -0.25265590   3.10850038
## 1018 -12.4498228    3.94991066   22.45941275  -0.18131467  -4.89737009
## 1019 -12.4498228    3.94991066   22.45941275  -0.18131467  -4.89737009
## 1020 -12.4498228    3.94991066   22.45941275  -0.18131467  -4.89737009
## 1021 -12.4498228    3.94991066   22.45941275  -0.18131467  -4.89737009
## 1022 -12.4498228    3.94991066   22.45941275  -0.18131467  -4.89737009
## 1023          NA            NA            NA           NA           NA
## 1024          NA            NA            NA           NA           NA
## 1025          NA            NA            NA           NA           NA
## 1026          NA            NA            NA           NA           NA
## 1027          NA            NA            NA           NA           NA
## 1028          NA            NA            NA           NA           NA
## 1029          NA            NA            NA           NA           NA
## 1030          NA            NA            NA           NA           NA
## 1031          NA            NA            NA           NA           NA
## 1032          NA            NA            NA           NA           NA
## 1033  -9.4903697    5.28161728    6.55564153  -3.06399696   2.94963688
## 1034  -9.4903697    5.28161728    6.55564153  -3.06399696   2.94963688
## 1035  -9.4903697    5.28161728    6.55564153  -3.06399696   2.94963688
## 1036  -9.4903697    5.28161728    6.55564153  -3.06399696   2.94963688
## 1037  -9.4903697    5.28161728    6.55564153  -3.06399696   2.94963688
## 1038          NA            NA            NA           NA           NA
## 1039          NA            NA            NA           NA           NA
## 1040          NA            NA            NA           NA           NA
## 1041          NA            NA            NA           NA           NA
## 1042          NA            NA            NA           NA           NA
## 1043          NA            NA            NA           NA           NA
## 1044          NA            NA            NA           NA           NA
## 1045          NA            NA            NA           NA           NA
## 1046          NA            NA            NA           NA           NA
## 1047          NA            NA            NA           NA           NA
## 1048          NA            NA            NA           NA           NA
## 1049          NA            NA            NA           NA           NA
## 1050          NA            NA            NA           NA           NA
## 1051          NA            NA            NA           NA           NA
## 1052          NA            NA            NA           NA           NA
## 1053          NA            NA            NA           NA           NA
## 1054          NA            NA            NA           NA           NA
## 1055          NA            NA            NA           NA           NA
## 1056          NA            NA            NA           NA           NA
## 1057          NA            NA            NA           NA           NA
## 1058          NA            NA            NA           NA           NA
## 1059          NA            NA            NA           NA           NA
## 1060          NA            NA            NA           NA           NA
## 1061          NA            NA            NA           NA           NA
## 1062          NA            NA            NA           NA           NA
## 1063          NA            NA            NA           NA           NA
## 1064          NA            NA            NA           NA           NA
## 1065          NA            NA            NA           NA           NA
## 1066          NA            NA            NA           NA           NA
## 1067          NA            NA            NA           NA           NA
## 1068 -16.4384941    1.27953664   35.09373748  -0.01344175  -0.69142032
## 1069 -16.4384941    1.27953664   35.09373748  -0.01344175  -0.69142032
## 1070 -16.4384941    1.27953664   35.09373748  -0.01344175  -0.69142032
## 1071 -16.4384941    1.27953664   35.09373748  -0.01344175  -0.69142032
## 1072 -16.4384941    1.27953664   35.09373748  -0.01344175  -0.69142032
## 1073 -10.3407688    0.71719236   25.46923216   3.78125632   7.55820351
## 1074 -10.3407688    0.71719236   25.46923216   3.78125632   7.55820351
## 1075 -10.3407688    0.71719236   25.46923216   3.78125632   7.55820351
## 1076 -10.3407688    0.71719236   25.46923216   3.78125632   7.55820351
## 1077 -10.3407688    0.71719236   25.46923216   3.78125632   7.55820351
## 1078          NA            NA            NA           NA           NA
## 1079          NA            NA            NA           NA           NA
## 1080          NA            NA            NA           NA           NA
## 1081          NA            NA            NA           NA           NA
## 1082          NA            NA            NA           NA           NA
## 1083 -22.9783629    5.78735036    8.49083505  -1.59604051  -5.29738455
## 1084 -22.9783629    5.78735036    8.49083505  -1.59604051  -5.29738455
## 1085 -22.9783629    5.78735036    8.49083505  -1.59604051  -5.29738455
## 1086 -22.9783629    5.78735036    8.49083505  -1.59604051  -5.29738455
## 1087 -22.9783629    5.78735036    8.49083505  -1.59604051  -5.29738455
## 1088          NA            NA            NA           NA           NA
## 1089          NA            NA            NA           NA           NA
## 1090          NA            NA            NA           NA           NA
## 1091          NA            NA            NA           NA           NA
## 1092          NA            NA            NA           NA           NA
## 1093  -9.6312923   -4.88934773    5.22831540  -3.32891117   6.19452887
## 1094  -9.6312923   -4.88934773    5.22831540  -3.32891117   6.19452887
## 1095  -9.6312923   -4.88934773    5.22831540  -3.32891117   6.19452887
## 1096  -9.6312923   -4.88934773    5.22831540  -3.32891117   6.19452887
## 1097  -9.6312923   -4.88934773    5.22831540  -3.32891117   6.19452887
## 1098          NA            NA            NA           NA           NA
## 1099          NA            NA            NA           NA           NA
## 1100          NA            NA            NA           NA           NA
## 1101          NA            NA            NA           NA           NA
## 1102          NA            NA            NA           NA           NA
## 1103  -0.5779082   27.09418204    0.39910422  -6.42450401 -22.28050907
## 1104  -0.5779082   27.09418204    0.39910422  -6.42450401 -22.28050907
## 1105  -0.5779082   27.09418204    0.39910422  -6.42450401 -22.28050907
## 1106  -0.5779082   27.09418204    0.39910422  -6.42450401 -22.28050907
## 1107  -0.5779082   27.09418204    0.39910422  -6.42450401 -22.28050907
## 1108          NA            NA            NA           NA           NA
## 1109          NA            NA            NA           NA           NA
## 1110          NA            NA            NA           NA           NA
## 1111          NA            NA            NA           NA           NA
## 1112          NA            NA            NA           NA           NA
## 1113  -7.2732681    6.87807183    8.47760877   1.53636845  -3.86968124
## 1114  -7.2732681    6.87807183    8.47760877   1.53636845  -3.86968124
## 1115  -7.2732681    6.87807183    8.47760877   1.53636845  -3.86968124
## 1116  -7.2732681    6.87807183    8.47760877   1.53636845  -3.86968124
## 1117  -7.2732681    6.87807183    8.47760877   1.53636845  -3.86968124
## 1118  -7.8976918   -0.98632997  -10.06598958   2.98389130   4.20512701
## 1119  -7.8976918   -0.98632997  -10.06598958   2.98389130   4.20512701
## 1120  -7.8976918   -0.98632997  -10.06598958   2.98389130   4.20512701
## 1121  -7.8976918   -0.98632997  -10.06598958   2.98389130   4.20512701
## 1122  -7.8976918   -0.98632997  -10.06598958   2.98389130   4.20512701
## 1123 -10.6166846    7.00973416    3.26848224  -4.20779451  -7.88765604
## 1124 -10.6166846    7.00973416    3.26848224  -4.20779451  -7.88765604
## 1125 -10.6166846    7.00973416    3.26848224  -4.20779451  -7.88765604
## 1126 -10.6166846    7.00973416    3.26848224  -4.20779451  -7.88765604
## 1127 -10.6166846    7.00973416    3.26848224  -4.20779451  -7.88765604
## 1128          NA            NA            NA           NA           NA
## 1129          NA            NA            NA           NA           NA
## 1130          NA            NA            NA           NA           NA
## 1131          NA            NA            NA           NA           NA
## 1132          NA            NA            NA           NA           NA
## 1133  -7.3179535    4.87355755    9.82800259  -1.71309142   0.76118858
## 1134  -7.3179535    4.87355755    9.82800259  -1.71309142   0.76118858
## 1135  -7.3179535    4.87355755    9.82800259  -1.71309142   0.76118858
## 1136  -7.3179535    4.87355755    9.82800259  -1.71309142   0.76118858
## 1137  -7.3179535    4.87355755    9.82800259  -1.71309142   0.76118858
## 1138          NA            NA            NA           NA           NA
## 1139          NA            NA            NA           NA           NA
## 1140          NA            NA            NA           NA           NA
## 1141          NA            NA            NA           NA           NA
## 1142          NA            NA            NA           NA           NA
## 1143  -2.4661324   -1.46242366  -55.99431936  -1.56802220  -0.38407191
## 1144  -2.4661324   -1.46242366  -55.99431936  -1.56802220  -0.38407191
## 1145  -2.4661324   -1.46242366  -55.99431936  -1.56802220  -0.38407191
## 1146  -2.4661324   -1.46242366  -55.99431936  -1.56802220  -0.38407191
## 1147  -2.4661324   -1.46242366  -55.99431936  -1.56802220  -0.38407191
## 1148          NA            NA            NA           NA           NA
## 1149          NA            NA            NA           NA           NA
## 1150          NA            NA            NA           NA           NA
## 1151          NA            NA            NA           NA           NA
## 1152          NA            NA            NA           NA           NA
## 1153 -10.5397993    0.07106091    8.86595487  -5.09298627  -1.17017136
## 1154 -10.5397993    0.07106091    8.86595487  -5.09298627  -1.17017136
## 1155 -10.5397993    0.07106091    8.86595487  -5.09298627  -1.17017136
## 1156 -10.5397993    0.07106091    8.86595487  -5.09298627  -1.17017136
## 1157 -10.5397993    0.07106091    8.86595487  -5.09298627  -1.17017136
## 1158  -5.3166901    1.82833539    5.79788299  -2.57061593   2.71301839
## 1159  -5.3166901    1.82833539    5.79788299  -2.57061593   2.71301839
## 1160  -5.3166901    1.82833539    5.79788299  -2.57061593   2.71301839
## 1161  -5.3166901    1.82833539    5.79788299  -2.57061593   2.71301839
## 1162  -5.3166901    1.82833539    5.79788299  -2.57061593   2.71301839
## 1163          NA            NA            NA           NA           NA
## 1164          NA            NA            NA           NA           NA
## 1165          NA            NA            NA           NA           NA
## 1166          NA            NA            NA           NA           NA
## 1167          NA            NA            NA           NA           NA
## 1168          NA            NA            NA           NA           NA
## 1169          NA            NA            NA           NA           NA
## 1170          NA            NA            NA           NA           NA
## 1171          NA            NA            NA           NA           NA
## 1172          NA            NA            NA           NA           NA
## 1173          NA            NA            NA           NA           NA
## 1174          NA            NA            NA           NA           NA
## 1175          NA            NA            NA           NA           NA
## 1176          NA            NA            NA           NA           NA
## 1177          NA            NA            NA           NA           NA
## 1178          NA            NA            NA           NA           NA
## 1179          NA            NA            NA           NA           NA
## 1180          NA            NA            NA           NA           NA
## 1181          NA            NA            NA           NA           NA
## 1182          NA            NA            NA           NA           NA
## 1183          NA            NA            NA           NA           NA
## 1184          NA            NA            NA           NA           NA
## 1185          NA            NA            NA           NA           NA
## 1186          NA            NA            NA           NA           NA
## 1187          NA            NA            NA           NA           NA
## 1188  -6.0231152    5.58271927   -2.12462711   1.36235998   0.30751956
## 1189  -6.0231152    5.58271927   -2.12462711   1.36235998   0.30751956
## 1190  -6.0231152    5.58271927   -2.12462711   1.36235998   0.30751956
## 1191  -6.0231152    5.58271927   -2.12462711   1.36235998   0.30751956
## 1192  -6.0231152    5.58271927   -2.12462711   1.36235998   0.30751956
## 1193   1.0206666   -3.20963427   23.28229628  -3.97268837   1.44839981
## 1194   1.0206666   -3.20963427   23.28229628  -3.97268837   1.44839981
## 1195   1.0206666   -3.20963427   23.28229628  -3.97268837   1.44839981
## 1196   1.0206666   -3.20963427   23.28229628  -3.97268837   1.44839981
## 1197   1.0206666   -3.20963427   23.28229628  -3.97268837   1.44839981
## 1198  -6.0750870   -2.86507818    5.85674587   1.53328095   4.70074934
## 1199  -6.0750870   -2.86507818    5.85674587   1.53328095   4.70074934
## 1200  -6.0750870   -2.86507818    5.85674587   1.53328095   4.70074934
## 1201  -6.0750870   -2.86507818    5.85674587   1.53328095   4.70074934
## 1202  -6.0750870   -2.86507818    5.85674587   1.53328095   4.70074934
## 1203   1.8987443    5.32759161   -3.84171131   4.47445178  -0.15931731
## 1204   1.8987443    5.32759161   -3.84171131   4.47445178  -0.15931731
## 1205   1.8987443    5.32759161   -3.84171131   4.47445178  -0.15931731
## 1206   1.8987443    5.32759161   -3.84171131   4.47445178  -0.15931731
## 1207   1.8987443    5.32759161   -3.84171131   4.47445178  -0.15931731
## 1208          NA            NA            NA           NA           NA
## 1209          NA            NA            NA           NA           NA
## 1210          NA            NA            NA           NA           NA
## 1211          NA            NA            NA           NA           NA
## 1212          NA            NA            NA           NA           NA
## 1213  -9.4573297   -2.22999373    4.04648781  -4.55133142   6.89925265
## 1214  -9.4573297   -2.22999373    4.04648781  -4.55133142   6.89925265
## 1215  -9.4573297   -2.22999373    4.04648781  -4.55133142   6.89925265
## 1216  -9.4573297   -2.22999373    4.04648781  -4.55133142   6.89925265
## 1217  -9.4573297   -2.22999373    4.04648781  -4.55133142   6.89925265
## 1218  -2.6810808   -6.24605755    0.38244438  -0.36186234   3.81303057
## 1219  -2.6810808   -6.24605755    0.38244438  -0.36186234   3.81303057
## 1220  -2.6810808   -6.24605755    0.38244438  -0.36186234   3.81303057
## 1221  -2.6810808   -6.24605755    0.38244438  -0.36186234   3.81303057
## 1222  -2.6810808   -6.24605755    0.38244438  -0.36186234   3.81303057
## 1223          NA            NA            NA           NA           NA
## 1224          NA            NA            NA           NA           NA
## 1225          NA            NA            NA           NA           NA
## 1226          NA            NA            NA           NA           NA
## 1227          NA            NA            NA           NA           NA
## 1228          NA            NA            NA           NA           NA
## 1229          NA            NA            NA           NA           NA
## 1230          NA            NA            NA           NA           NA
## 1231          NA            NA            NA           NA           NA
## 1232          NA            NA            NA           NA           NA
## 1233          NA            NA            NA           NA           NA
## 1234          NA            NA            NA           NA           NA
## 1235          NA            NA            NA           NA           NA
## 1236          NA            NA            NA           NA           NA
## 1237          NA            NA            NA           NA           NA
## 1238  -0.7639736    1.39554070   14.13780833  -1.05502226  -6.32376744
## 1239  -0.7639736    1.39554070   14.13780833  -1.05502226  -6.32376744
## 1240  -0.7639736    1.39554070   14.13780833  -1.05502226  -6.32376744
## 1241  -0.7639736    1.39554070   14.13780833  -1.05502226  -6.32376744
## 1242  -0.7639736    1.39554070   14.13780833  -1.05502226  -6.32376744
## 1243 -11.5898379   -0.87417478    3.96685631  -0.93903069  -2.56852055
## 1244 -11.5898379   -0.87417478    3.96685631  -0.93903069  -2.56852055
## 1245 -11.5898379   -0.87417478    3.96685631  -0.93903069  -2.56852055
## 1246 -11.5898379   -0.87417478    3.96685631  -0.93903069  -2.56852055
## 1247 -11.5898379   -0.87417478    3.96685631  -0.93903069  -2.56852055
## 1248          NA            NA            NA           NA           NA
## 1249          NA            NA            NA           NA           NA
## 1250          NA            NA            NA           NA           NA
## 1251          NA            NA            NA           NA           NA
## 1252          NA            NA            NA           NA           NA
## 1253          NA            NA            NA           NA           NA
## 1254          NA            NA            NA           NA           NA
## 1255          NA            NA            NA           NA           NA
## 1256          NA            NA            NA           NA           NA
## 1257          NA            NA            NA           NA           NA
## 1258          NA            NA            NA           NA           NA
## 1259          NA            NA            NA           NA           NA
## 1260          NA            NA            NA           NA           NA
## 1261          NA            NA            NA           NA           NA
## 1262          NA            NA            NA           NA           NA
## 1263   1.7399426    5.94693910   -0.20859054  -1.96488335   3.45080603
## 1264   1.7399426    5.94693910   -0.20859054  -1.96488335   3.45080603
## 1265   1.7399426    5.94693910   -0.20859054  -1.96488335   3.45080603
## 1266   1.7399426    5.94693910   -0.20859054  -1.96488335   3.45080603
## 1267   1.7399426    5.94693910   -0.20859054  -1.96488335   3.45080603
## 1268  -4.1684513   13.28622163    2.33409554  69.51535789  -0.80917161
## 1269  -4.1684513   13.28622163    2.33409554  69.51535789  -0.80917161
## 1270  -4.1684513   13.28622163    2.33409554  69.51535789  -0.80917161
## 1271  -4.1684513   13.28622163    2.33409554  69.51535789  -0.80917161
## 1272  -4.1684513   13.28622163    2.33409554  69.51535789  -0.80917161
## 1273 -42.0765310    2.07360671  -63.50056435   1.14369870   0.29759717
## 1274 -42.0765310    2.07360671  -63.50056435   1.14369870   0.29759717
## 1275 -42.0765310    2.07360671  -63.50056435   1.14369870   0.29759717
## 1276 -42.0765310    2.07360671  -63.50056435   1.14369870   0.29759717
## 1277 -42.0765310    2.07360671  -63.50056435   1.14369870   0.29759717
## 1278  -8.6665563   12.98555745    3.49496034 -42.34822053  -2.33180825
## 1279  -8.6665563   12.98555745    3.49496034 -42.34822053  -2.33180825
## 1280  -8.6665563   12.98555745    3.49496034 -42.34822053  -2.33180825
## 1281  -8.6665563   12.98555745    3.49496034 -42.34822053  -2.33180825
## 1282  -8.6665563   12.98555745    3.49496034 -42.34822053  -2.33180825
## 1283 -14.9554746    0.47392572   43.24214700   1.92772492   0.88442628
## 1284 -14.9554746    0.47392572   43.24214700   1.92772492   0.88442628
## 1285 -14.9554746    0.47392572   43.24214700   1.92772492   0.88442628
## 1286 -14.9554746    0.47392572   43.24214700   1.92772492   0.88442628
## 1287 -14.9554746    0.47392572   43.24214700   1.92772492   0.88442628
## 1288          NA            NA            NA           NA           NA
## 1289          NA            NA            NA           NA           NA
## 1290          NA            NA            NA           NA           NA
## 1291          NA            NA            NA           NA           NA
## 1292          NA            NA            NA           NA           NA
## 1293          NA            NA            NA           NA           NA
## 1294          NA            NA            NA           NA           NA
## 1295          NA            NA            NA           NA           NA
## 1296          NA            NA            NA           NA           NA
## 1297          NA            NA            NA           NA           NA
## 1298  -1.0571842   15.39288053    4.07497053   3.29757775  47.78411396
## 1299  -1.0571842   15.39288053    4.07497053   3.29757775  47.78411396
## 1300  -1.0571842   15.39288053    4.07497053   3.29757775  47.78411396
## 1301  -1.0571842   15.39288053    4.07497053   3.29757775  47.78411396
## 1302  -1.0571842   15.39288053    4.07497053   3.29757775  47.78411396
## 1303          NA            NA            NA           NA           NA
## 1304          NA            NA            NA           NA           NA
## 1305          NA            NA            NA           NA           NA
## 1306          NA            NA            NA           NA           NA
## 1307          NA            NA            NA           NA           NA
## 1308          NA            NA            NA           NA           NA
## 1309          NA            NA            NA           NA           NA
## 1310          NA            NA            NA           NA           NA
## 1311          NA            NA            NA           NA           NA
## 1312          NA            NA            NA           NA           NA
## 1313  14.3570990   -2.65934097 -119.10093549  -0.45569162  -1.13082490
## 1314  14.3570990   -2.65934097 -119.10093549  -0.45569162  -1.13082490
## 1315  14.3570990   -2.65934097 -119.10093549  -0.45569162  -1.13082490
## 1316  14.3570990   -2.65934097 -119.10093549  -0.45569162  -1.13082490
## 1317  14.3570990   -2.65934097 -119.10093549  -0.45569162  -1.13082490
## 1318          NA            NA            NA           NA           NA
## 1319          NA            NA            NA           NA           NA
## 1320          NA            NA            NA           NA           NA
## 1321          NA            NA            NA           NA           NA
## 1322          NA            NA            NA           NA           NA
## 1323          NA            NA            NA           NA           NA
## 1324          NA            NA            NA           NA           NA
## 1325          NA            NA            NA           NA           NA
## 1326          NA            NA            NA           NA           NA
## 1327          NA            NA            NA           NA           NA
## 1328          NA            NA            NA           NA           NA
## 1329          NA            NA            NA           NA           NA
## 1330          NA            NA            NA           NA           NA
## 1331          NA            NA            NA           NA           NA
## 1332          NA            NA            NA           NA           NA
## 1333          NA            NA            NA           NA           NA
## 1334          NA            NA            NA           NA           NA
## 1335          NA            NA            NA           NA           NA
## 1336          NA            NA            NA           NA           NA
## 1337          NA            NA            NA           NA           NA
## 1338          NA            NA            NA           NA           NA
## 1339          NA            NA            NA           NA           NA
## 1340          NA            NA            NA           NA           NA
## 1341          NA            NA            NA           NA           NA
## 1342          NA            NA            NA           NA           NA
## 1343          NA            NA            NA           NA           NA
## 1344          NA            NA            NA           NA           NA
## 1345          NA            NA            NA           NA           NA
## 1346          NA            NA            NA           NA           NA
## 1347          NA            NA            NA           NA           NA
## 1348          NA            NA            NA           NA           NA
## 1349          NA            NA            NA           NA           NA
## 1350          NA            NA            NA           NA           NA
## 1351          NA            NA            NA           NA           NA
## 1352          NA            NA            NA           NA           NA
## 1353          NA            NA            NA           NA           NA
## 1354          NA            NA            NA           NA           NA
## 1355          NA            NA            NA           NA           NA
## 1356          NA            NA            NA           NA           NA
## 1357          NA            NA            NA           NA           NA
## 1358          NA            NA            NA           NA           NA
## 1359          NA            NA            NA           NA           NA
## 1360          NA            NA            NA           NA           NA
## 1361          NA            NA            NA           NA           NA
## 1362          NA            NA            NA           NA           NA
## 1363  -2.2128331    5.34701461    1.92610151  44.63260491   3.59438391
## 1364  -2.2128331    5.34701461    1.92610151  44.63260491   3.59438391
## 1365  -2.2128331    5.34701461    1.92610151  44.63260491   3.59438391
## 1366  -2.2128331    5.34701461    1.92610151  44.63260491   3.59438391
## 1367  -2.2128331    5.34701461    1.92610151  44.63260491   3.59438391
## 1368          NA            NA            NA           NA           NA
## 1369          NA            NA            NA           NA           NA
## 1370          NA            NA            NA           NA           NA
## 1371          NA            NA            NA           NA           NA
## 1372          NA            NA            NA           NA           NA
## 1373          NA            NA            NA           NA           NA
## 1374          NA            NA            NA           NA           NA
## 1375          NA            NA            NA           NA           NA
## 1376          NA            NA            NA           NA           NA
## 1377          NA            NA            NA           NA           NA
## 1378   2.7342548   21.40644999   -3.51553927 -16.39683088   8.00144913
## 1379   2.7342548   21.40644999   -3.51553927 -16.39683088   8.00144913
## 1380   2.7342548   21.40644999   -3.51553927 -16.39683088   8.00144913
## 1381   2.7342548   21.40644999   -3.51553927 -16.39683088   8.00144913
## 1382   2.7342548   21.40644999   -3.51553927 -16.39683088   8.00144913
## 1383          NA            NA            NA           NA           NA
## 1384          NA            NA            NA           NA           NA
## 1385          NA            NA            NA           NA           NA
## 1386          NA            NA            NA           NA           NA
## 1387          NA            NA            NA           NA           NA
## 1388   0.0757154  -11.82982796   -0.06634243  -0.57168117  40.77527139
## 1389   0.0757154  -11.82982796   -0.06634243  -0.57168117  40.77527139
## 1390   0.0757154  -11.82982796   -0.06634243  -0.57168117  40.77527139
## 1391   0.0757154  -11.82982796   -0.06634243  -0.57168117  40.77527139
## 1392   0.0757154  -11.82982796   -0.06634243  -0.57168117  40.77527139
## 1393          NA            NA            NA           NA           NA
## 1394          NA            NA            NA           NA           NA
## 1395          NA            NA            NA           NA           NA
## 1396          NA            NA            NA           NA           NA
## 1397          NA            NA            NA           NA           NA
## 1398          NA            NA            NA           NA           NA
## 1399          NA            NA            NA           NA           NA
## 1400          NA            NA            NA           NA           NA
## 1401          NA            NA            NA           NA           NA
## 1402          NA            NA            NA           NA           NA
## 1403          NA            NA            NA           NA           NA
## 1404          NA            NA            NA           NA           NA
## 1405          NA            NA            NA           NA           NA
## 1406          NA            NA            NA           NA           NA
## 1407          NA            NA            NA           NA           NA
## 1408          NA            NA            NA           NA           NA
## 1409          NA            NA            NA           NA           NA
## 1410          NA            NA            NA           NA           NA
## 1411          NA            NA            NA           NA           NA
## 1412          NA            NA            NA           NA           NA
## 1413  -2.7269427   -4.77566675    1.86616872   3.51567364   0.46905353
## 1414  -2.7269427   -4.77566675    1.86616872   3.51567364   0.46905353
## 1415  -2.7269427   -4.77566675    1.86616872   3.51567364   0.46905353
## 1416  -2.7269427   -4.77566675    1.86616872   3.51567364   0.46905353
## 1417  -2.7269427   -4.77566675    1.86616872   3.51567364   0.46905353
## 1418  -0.7408899    7.61703049    1.12475798   5.37718606  -2.18970788
## 1419  -0.7408899    7.61703049    1.12475798   5.37718606  -2.18970788
## 1420  -0.7408899    7.61703049    1.12475798   5.37718606  -2.18970788
## 1421  -0.7408899    7.61703049    1.12475798   5.37718606  -2.18970788
## 1422  -0.7408899    7.61703049    1.12475798   5.37718606  -2.18970788
## 1423          NA            NA            NA           NA           NA
## 1424          NA            NA            NA           NA           NA
## 1425          NA            NA            NA           NA           NA
## 1426          NA            NA            NA           NA           NA
## 1427          NA            NA            NA           NA           NA
## 1428  -1.3935094  -21.55832968    3.66567011  -3.49577146  -2.83607007
## 1429  -1.3935094  -21.55832968    3.66567011  -3.49577146  -2.83607007
## 1430  -1.3935094  -21.55832968    3.66567011  -3.49577146  -2.83607007
## 1431  -1.3935094  -21.55832968    3.66567011  -3.49577146  -2.83607007
## 1432  -1.3935094  -21.55832968    3.66567011  -3.49577146  -2.83607007
## 1433   9.3608248    2.75913853   -2.73292823   0.03354658   0.30623489
## 1434   9.3608248    2.75913853   -2.73292823   0.03354658   0.30623489
## 1435   9.3608248    2.75913853   -2.73292823   0.03354658   0.30623489
## 1436   9.3608248    2.75913853   -2.73292823   0.03354658   0.30623489
## 1437   9.3608248    2.75913853   -2.73292823   0.03354658   0.30623489
## 1438          NA            NA            NA           NA           NA
## 1439          NA            NA            NA           NA           NA
## 1440          NA            NA            NA           NA           NA
## 1441          NA            NA            NA           NA           NA
## 1442          NA            NA            NA           NA           NA
## 1443   9.6029977    1.75835637    5.12429406  -1.51198122   0.12042732
## 1444   9.6029977    1.75835637    5.12429406  -1.51198122   0.12042732
## 1445   9.6029977    1.75835637    5.12429406  -1.51198122   0.12042732
## 1446   9.6029977    1.75835637    5.12429406  -1.51198122   0.12042732
## 1447   9.6029977    1.75835637    5.12429406  -1.51198122   0.12042732
## 1448          NA            NA            NA           NA           NA
## 1449          NA            NA            NA           NA           NA
## 1450          NA            NA            NA           NA           NA
## 1451          NA            NA            NA           NA           NA
## 1452          NA            NA            NA           NA           NA
## 1453          NA            NA            NA           NA           NA
## 1454          NA            NA            NA           NA           NA
## 1455          NA            NA            NA           NA           NA
## 1456          NA            NA            NA           NA           NA
## 1457          NA            NA            NA           NA           NA
## 1458          NA            NA            NA           NA           NA
## 1459          NA            NA            NA           NA           NA
## 1460          NA            NA            NA           NA           NA
## 1461          NA            NA            NA           NA           NA
## 1462          NA            NA            NA           NA           NA
## 1463   1.5823305    1.76610686   -1.09935461   0.09897567 -30.74368842
## 1464   1.5823305    1.76610686   -1.09935461   0.09897567 -30.74368842
## 1465   1.5823305    1.76610686   -1.09935461   0.09897567 -30.74368842
## 1466   1.5823305    1.76610686   -1.09935461   0.09897567 -30.74368842
## 1467   1.5823305    1.76610686   -1.09935461   0.09897567 -30.74368842
## 1468          NA            NA            NA           NA           NA
## 1469          NA            NA            NA           NA           NA
## 1470          NA            NA            NA           NA           NA
## 1471          NA            NA            NA           NA           NA
## 1472          NA            NA            NA           NA           NA
## 1473          NA            NA            NA           NA           NA
## 1474          NA            NA            NA           NA           NA
## 1475          NA            NA            NA           NA           NA
## 1476          NA            NA            NA           NA           NA
## 1477          NA            NA            NA           NA           NA
## 1478          NA            NA            NA           NA           NA
## 1479          NA            NA            NA           NA           NA
## 1480          NA            NA            NA           NA           NA
## 1481          NA            NA            NA           NA           NA
## 1482          NA            NA            NA           NA           NA
## 1483          NA            NA            NA           NA           NA
## 1484          NA            NA            NA           NA           NA
## 1485          NA            NA            NA           NA           NA
## 1486          NA            NA            NA           NA           NA
## 1487          NA            NA            NA           NA           NA
## 1488   1.0568383   -8.27204053   -0.32974120   2.18338493  20.27008034
## 1489   1.0568383   -8.27204053   -0.32974120   2.18338493  20.27008034
## 1490   1.0568383   -8.27204053   -0.32974120   2.18338493  20.27008034
## 1491   1.0568383   -8.27204053   -0.32974120   2.18338493  20.27008034
## 1492   1.0568383   -8.27204053   -0.32974120   2.18338493  20.27008034
## 1493   0.6566887   -4.79437486   -5.30667521  -2.93266911 -15.38714809
## 1494   0.6566887   -4.79437486   -5.30667521  -2.93266911 -15.38714809
## 1495   0.6566887   -4.79437486   -5.30667521  -2.93266911 -15.38714809
## 1496   0.6566887   -4.79437486   -5.30667521  -2.93266911 -15.38714809
## 1497   0.6566887   -4.79437486   -5.30667521  -2.93266911 -15.38714809
## 1498   1.9555706   -0.37044298    1.54347305 -11.87359914 -13.31727992
## 1499   1.9555706   -0.37044298    1.54347305 -11.87359914 -13.31727992
## 1500   1.9555706   -0.37044298    1.54347305 -11.87359914 -13.31727992
## 1501   1.9555706   -0.37044298    1.54347305 -11.87359914 -13.31727992
## 1502   1.9555706   -0.37044298    1.54347305 -11.87359914 -13.31727992
## 1503  -1.4640695   -4.38976597   -0.82087193  -7.97615779   4.55028362
## 1504  -1.4640695   -4.38976597   -0.82087193  -7.97615779   4.55028362
## 1505  -1.4640695   -4.38976597   -0.82087193  -7.97615779   4.55028362
## 1506  -1.4640695   -4.38976597   -0.82087193  -7.97615779   4.55028362
## 1507  -1.4640695   -4.38976597   -0.82087193  -7.97615779   4.55028362
## 1508          NA            NA            NA           NA           NA
## 1509          NA            NA            NA           NA           NA
## 1510          NA            NA            NA           NA           NA
## 1511          NA            NA            NA           NA           NA
## 1512          NA            NA            NA           NA           NA
## 1513          NA            NA            NA           NA           NA
## 1514          NA            NA            NA           NA           NA
## 1515          NA            NA            NA           NA           NA
## 1516          NA            NA            NA           NA           NA
## 1517          NA            NA            NA           NA           NA
## 1518          NA            NA            NA           NA           NA
## 1519          NA            NA            NA           NA           NA
## 1520          NA            NA            NA           NA           NA
## 1521          NA            NA            NA           NA           NA
## 1522          NA            NA            NA           NA           NA
## 1523          NA            NA            NA           NA           NA
## 1524          NA            NA            NA           NA           NA
## 1525          NA            NA            NA           NA           NA
## 1526          NA            NA            NA           NA           NA
## 1527          NA            NA            NA           NA           NA
## 1528  -1.1884765   38.54499666   -1.77549981  66.69845857 -14.05178917
## 1529  -1.1884765   38.54499666   -1.77549981  66.69845857 -14.05178917
## 1530  -1.1884765   38.54499666   -1.77549981  66.69845857 -14.05178917
## 1531  -1.1884765   38.54499666   -1.77549981  66.69845857 -14.05178917
## 1532  -1.1884765   38.54499666   -1.77549981  66.69845857 -14.05178917
## 1533          NA            NA            NA           NA           NA
## 1534          NA            NA            NA           NA           NA
## 1535          NA            NA            NA           NA           NA
## 1536          NA            NA            NA           NA           NA
## 1537          NA            NA            NA           NA           NA
## 1538          NA            NA            NA           NA           NA
##          PC3_score    PC28_score  PC61_score  PC111_score   PC55_score
## 1     4.777410e-01   3.524453334 -11.6726908   3.04032503   3.09216075
## 2     4.777410e-01   3.524453334 -11.6726908   3.04032503   3.09216075
## 3     4.777410e-01   3.524453334 -11.6726908   3.04032503   3.09216075
## 4     4.777410e-01   3.524453334 -11.6726908   3.04032503   3.09216075
## 5     4.777410e-01   3.524453334 -11.6726908   3.04032503   3.09216075
## 6     4.777410e-01   3.524453334 -11.6726908   3.04032503   3.09216075
## 7     4.777410e-01   3.524453334 -11.6726908   3.04032503   3.09216075
## 8     4.777410e-01   3.524453334 -11.6726908   3.04032503   3.09216075
## 9     1.088332e+00  -3.217537414   2.9121341   5.53848786  -1.56603409
## 10    1.088332e+00  -3.217537414   2.9121341   5.53848786  -1.56603409
## 11    1.088332e+00  -3.217537414   2.9121341   5.53848786  -1.56603409
## 12    1.088332e+00  -3.217537414   2.9121341   5.53848786  -1.56603409
## 13    1.088332e+00  -3.217537414   2.9121341   5.53848786  -1.56603409
## 14    1.088332e+00  -3.217537414   2.9121341   5.53848786  -1.56603409
## 15    1.088332e+00  -3.217537414   2.9121341   5.53848786  -1.56603409
## 16    1.088332e+00  -3.217537414   2.9121341   5.53848786  -1.56603409
## 17   -4.434061e+00 -34.050393161  -0.5725441  -0.68128599  15.68506709
## 18   -4.434061e+00 -34.050393161  -0.5725441  -0.68128599  15.68506709
## 19   -4.434061e+00 -34.050393161  -0.5725441  -0.68128599  15.68506709
## 20   -4.434061e+00 -34.050393161  -0.5725441  -0.68128599  15.68506709
## 21   -4.434061e+00 -34.050393161  -0.5725441  -0.68128599  15.68506709
## 22   -4.434061e+00 -34.050393161  -0.5725441  -0.68128599  15.68506709
## 23   -4.434061e+00 -34.050393161  -0.5725441  -0.68128599  15.68506709
## 24   -4.434061e+00 -34.050393161  -0.5725441  -0.68128599  15.68506709
## 25    6.910487e+00  11.820214904  -2.9426745  -0.34237872  58.53756838
## 26    6.910487e+00  11.820214904  -2.9426745  -0.34237872  58.53756838
## 27    6.910487e+00  11.820214904  -2.9426745  -0.34237872  58.53756838
## 28    6.910487e+00  11.820214904  -2.9426745  -0.34237872  58.53756838
## 29    6.910487e+00  11.820214904  -2.9426745  -0.34237872  58.53756838
## 30    6.910487e+00  11.820214904  -2.9426745  -0.34237872  58.53756838
## 31    6.910487e+00  11.820214904  -2.9426745  -0.34237872  58.53756838
## 32    6.910487e+00  11.820214904  -2.9426745  -0.34237872  58.53756838
## 33   -4.425422e+00 -11.329149130 -61.2396469  -0.67849744  -8.63174971
## 34   -4.425422e+00 -11.329149130 -61.2396469  -0.67849744  -8.63174971
## 35   -4.425422e+00 -11.329149130 -61.2396469  -0.67849744  -8.63174971
## 36   -4.425422e+00 -11.329149130 -61.2396469  -0.67849744  -8.63174971
## 37   -4.425422e+00 -11.329149130 -61.2396469  -0.67849744  -8.63174971
## 38   -4.425422e+00 -11.329149130 -61.2396469  -0.67849744  -8.63174971
## 39   -4.425422e+00 -11.329149130 -61.2396469  -0.67849744  -8.63174971
## 40   -4.425422e+00 -11.329149130 -61.2396469  -0.67849744  -8.63174971
## 41    4.690651e+00  -0.408095450   4.0766678  -0.07470161  -2.43091515
## 42    4.690651e+00  -0.408095450   4.0766678  -0.07470161  -2.43091515
## 43    4.690651e+00  -0.408095450   4.0766678  -0.07470161  -2.43091515
## 44    4.690651e+00  -0.408095450   4.0766678  -0.07470161  -2.43091515
## 45    4.690651e+00  -0.408095450   4.0766678  -0.07470161  -2.43091515
## 46    4.690651e+00  -0.408095450   4.0766678  -0.07470161  -2.43091515
## 47    4.690651e+00  -0.408095450   4.0766678  -0.07470161  -2.43091515
## 48    4.690651e+00  -0.408095450   4.0766678  -0.07470161  -2.43091515
## 49   -4.438168e+00  14.338978479   0.3495808   1.11438907  -5.88511516
## 50   -4.438168e+00  14.338978479   0.3495808   1.11438907  -5.88511516
## 51   -4.438168e+00  14.338978479   0.3495808   1.11438907  -5.88511516
## 52   -4.438168e+00  14.338978479   0.3495808   1.11438907  -5.88511516
## 53   -4.438168e+00  14.338978479   0.3495808   1.11438907  -5.88511516
## 54   -4.438168e+00  14.338978479   0.3495808   1.11438907  -5.88511516
## 55   -4.438168e+00  14.338978479   0.3495808   1.11438907  -5.88511516
## 56   -4.438168e+00  14.338978479   0.3495808   1.11438907  -5.88511516
## 57    1.568873e+00  -2.543153102  20.8221432   3.15991575 -11.42803779
## 58    1.568873e+00  -2.543153102  20.8221432   3.15991575 -11.42803779
## 59    1.568873e+00  -2.543153102  20.8221432   3.15991575 -11.42803779
## 60    1.568873e+00  -2.543153102  20.8221432   3.15991575 -11.42803779
## 61    1.568873e+00  -2.543153102  20.8221432   3.15991575 -11.42803779
## 62    1.568873e+00  -2.543153102  20.8221432   3.15991575 -11.42803779
## 63    1.568873e+00  -2.543153102  20.8221432   3.15991575 -11.42803779
## 64    1.568873e+00  -2.543153102  20.8221432   3.15991575 -11.42803779
## 65   -4.259035e-01  -9.636012407   4.5316123   3.42011187 -15.19715158
## 66   -4.259035e-01  -9.636012407   4.5316123   3.42011187 -15.19715158
## 67   -4.259035e-01  -9.636012407   4.5316123   3.42011187 -15.19715158
## 68   -4.259035e-01  -9.636012407   4.5316123   3.42011187 -15.19715158
## 69   -4.259035e-01  -9.636012407   4.5316123   3.42011187 -15.19715158
## 70   -4.259035e-01  -9.636012407   4.5316123   3.42011187 -15.19715158
## 71   -4.259035e-01  -9.636012407   4.5316123   3.42011187 -15.19715158
## 72   -4.259035e-01  -9.636012407   4.5316123   3.42011187 -15.19715158
## 73    1.398710e+00  -8.971864393  37.6131557  -0.90243865 -11.75648829
## 74    1.398710e+00  -8.971864393  37.6131557  -0.90243865 -11.75648829
## 75    1.398710e+00  -8.971864393  37.6131557  -0.90243865 -11.75648829
## 76    1.398710e+00  -8.971864393  37.6131557  -0.90243865 -11.75648829
## 77    1.398710e+00  -8.971864393  37.6131557  -0.90243865 -11.75648829
## 78    1.398710e+00  -8.971864393  37.6131557  -0.90243865 -11.75648829
## 79    1.398710e+00  -8.971864393  37.6131557  -0.90243865 -11.75648829
## 80    1.398710e+00  -8.971864393  37.6131557  -0.90243865 -11.75648829
## 81   -1.296627e+00  -5.837319462  18.7886143  -1.70033318 -10.87339086
## 82   -1.296627e+00  -5.837319462  18.7886143  -1.70033318 -10.87339086
## 83   -1.296627e+00  -5.837319462  18.7886143  -1.70033318 -10.87339086
## 84   -1.296627e+00  -5.837319462  18.7886143  -1.70033318 -10.87339086
## 85   -1.296627e+00  -5.837319462  18.7886143  -1.70033318 -10.87339086
## 86   -1.296627e+00  -5.837319462  18.7886143  -1.70033318 -10.87339086
## 87   -1.296627e+00  -5.837319462  18.7886143  -1.70033318 -10.87339086
## 88   -1.296627e+00  -5.837319462  18.7886143  -1.70033318 -10.87339086
## 89   -1.472988e+00 -18.039698550   3.0883843   0.74292435  -5.70786479
## 90   -1.472988e+00 -18.039698550   3.0883843   0.74292435  -5.70786479
## 91   -1.472988e+00 -18.039698550   3.0883843   0.74292435  -5.70786479
## 92   -1.472988e+00 -18.039698550   3.0883843   0.74292435  -5.70786479
## 93   -1.472988e+00 -18.039698550   3.0883843   0.74292435  -5.70786479
## 94   -1.472988e+00 -18.039698550   3.0883843   0.74292435  -5.70786479
## 95   -1.472988e+00 -18.039698550   3.0883843   0.74292435  -5.70786479
## 96   -1.472988e+00 -18.039698550   3.0883843   0.74292435  -5.70786479
## 97    5.294020e+00   6.181767337 -15.6703143   5.23909454  12.24476502
## 98    5.294020e+00   6.181767337 -15.6703143   5.23909454  12.24476502
## 99    5.294020e+00   6.181767337 -15.6703143   5.23909454  12.24476502
## 100   5.294020e+00   6.181767337 -15.6703143   5.23909454  12.24476502
## 101   5.294020e+00   6.181767337 -15.6703143   5.23909454  12.24476502
## 102   5.294020e+00   6.181767337 -15.6703143   5.23909454  12.24476502
## 103   5.294020e+00   6.181767337 -15.6703143   5.23909454  12.24476502
## 104   5.294020e+00   6.181767337 -15.6703143   5.23909454  12.24476502
## 105  -6.718711e-01   0.991275969 -10.0672103  -3.39688090  -1.81263713
## 106  -6.718711e-01   0.991275969 -10.0672103  -3.39688090  -1.81263713
## 107  -6.718711e-01   0.991275969 -10.0672103  -3.39688090  -1.81263713
## 108  -6.718711e-01   0.991275969 -10.0672103  -3.39688090  -1.81263713
## 109  -6.718711e-01   0.991275969 -10.0672103  -3.39688090  -1.81263713
## 110  -6.718711e-01   0.991275969 -10.0672103  -3.39688090  -1.81263713
## 111  -6.718711e-01   0.991275969 -10.0672103  -3.39688090  -1.81263713
## 112  -6.718711e-01   0.991275969 -10.0672103  -3.39688090  -1.81263713
## 113  -5.991573e+00  -3.540254293   4.0674587   0.39892278  -3.50418706
## 114  -5.991573e+00  -3.540254293   4.0674587   0.39892278  -3.50418706
## 115  -5.991573e+00  -3.540254293   4.0674587   0.39892278  -3.50418706
## 116  -5.991573e+00  -3.540254293   4.0674587   0.39892278  -3.50418706
## 117  -5.991573e+00  -3.540254293   4.0674587   0.39892278  -3.50418706
## 118  -5.991573e+00  -3.540254293   4.0674587   0.39892278  -3.50418706
## 119  -5.991573e+00  -3.540254293   4.0674587   0.39892278  -3.50418706
## 120  -5.991573e+00  -3.540254293   4.0674587   0.39892278  -3.50418706
## 121   4.190812e+00  10.078342557  15.1695877   3.59099313  -3.86907098
## 122   4.190812e+00  10.078342557  15.1695877   3.59099313  -3.86907098
## 123   4.190812e+00  10.078342557  15.1695877   3.59099313  -3.86907098
## 124   4.190812e+00  10.078342557  15.1695877   3.59099313  -3.86907098
## 125   4.190812e+00  10.078342557  15.1695877   3.59099313  -3.86907098
## 126   4.190812e+00  10.078342557  15.1695877   3.59099313  -3.86907098
## 127   4.190812e+00  10.078342557  15.1695877   3.59099313  -3.86907098
## 128   4.190812e+00  10.078342557  15.1695877   3.59099313  -3.86907098
## 129  -1.472359e+00  -2.700931277   0.4902856   0.08381220   5.13737228
## 130  -1.472359e+00  -2.700931277   0.4902856   0.08381220   5.13737228
## 131  -1.472359e+00  -2.700931277   0.4902856   0.08381220   5.13737228
## 132  -1.472359e+00  -2.700931277   0.4902856   0.08381220   5.13737228
## 133  -1.472359e+00  -2.700931277   0.4902856   0.08381220   5.13737228
## 134  -1.472359e+00  -2.700931277   0.4902856   0.08381220   5.13737228
## 135  -1.472359e+00  -2.700931277   0.4902856   0.08381220   5.13737228
## 136  -1.472359e+00  -2.700931277   0.4902856   0.08381220   5.13737228
## 137  -1.724515e+01   8.788301265  -2.5668156  -0.23657304  -1.67817053
## 138  -1.724515e+01   8.788301265  -2.5668156  -0.23657304  -1.67817053
## 139  -1.724515e+01   8.788301265  -2.5668156  -0.23657304  -1.67817053
## 140  -1.724515e+01   8.788301265  -2.5668156  -0.23657304  -1.67817053
## 141  -1.724515e+01   8.788301265  -2.5668156  -0.23657304  -1.67817053
## 142  -1.724515e+01   8.788301265  -2.5668156  -0.23657304  -1.67817053
## 143  -1.724515e+01   8.788301265  -2.5668156  -0.23657304  -1.67817053
## 144  -1.724515e+01   8.788301265  -2.5668156  -0.23657304  -1.67817053
## 145  -1.856322e+00  -5.517638251 -34.2282338  -0.19510082 -22.80837706
## 146  -1.856322e+00  -5.517638251 -34.2282338  -0.19510082 -22.80837706
## 147  -1.856322e+00  -5.517638251 -34.2282338  -0.19510082 -22.80837706
## 148  -1.856322e+00  -5.517638251 -34.2282338  -0.19510082 -22.80837706
## 149  -1.856322e+00  -5.517638251 -34.2282338  -0.19510082 -22.80837706
## 150  -1.856322e+00  -5.517638251 -34.2282338  -0.19510082 -22.80837706
## 151  -1.856322e+00  -5.517638251 -34.2282338  -0.19510082 -22.80837706
## 152  -1.856322e+00  -5.517638251 -34.2282338  -0.19510082 -22.80837706
## 153   1.630523e+01   3.901491821   4.1371347   0.26808114  -2.76708734
## 154   1.630523e+01   3.901491821   4.1371347   0.26808114  -2.76708734
## 155   1.630523e+01   3.901491821   4.1371347   0.26808114  -2.76708734
## 156   1.630523e+01   3.901491821   4.1371347   0.26808114  -2.76708734
## 157   1.630523e+01   3.901491821   4.1371347   0.26808114  -2.76708734
## 158   1.630523e+01   3.901491821   4.1371347   0.26808114  -2.76708734
## 159   1.630523e+01   3.901491821   4.1371347   0.26808114  -2.76708734
## 160   1.630523e+01   3.901491821   4.1371347   0.26808114  -2.76708734
## 161   5.024137e+00   9.713435833  34.5616395  -2.82091000   5.25558525
## 162   5.024137e+00   9.713435833  34.5616395  -2.82091000   5.25558525
## 163   5.024137e+00   9.713435833  34.5616395  -2.82091000   5.25558525
## 164   5.024137e+00   9.713435833  34.5616395  -2.82091000   5.25558525
## 165   5.024137e+00   9.713435833  34.5616395  -2.82091000   5.25558525
## 166   5.024137e+00   9.713435833  34.5616395  -2.82091000   5.25558525
## 167   5.024137e+00   9.713435833  34.5616395  -2.82091000   5.25558525
## 168   5.024137e+00   9.713435833  34.5616395  -2.82091000   5.25558525
## 169   5.078458e+00   5.055722738   0.4505914 -32.82983974  -2.53909457
## 170   5.078458e+00   5.055722738   0.4505914 -32.82983974  -2.53909457
## 171   5.078458e+00   5.055722738   0.4505914 -32.82983974  -2.53909457
## 172   5.078458e+00   5.055722738   0.4505914 -32.82983974  -2.53909457
## 173   5.078458e+00   5.055722738   0.4505914 -32.82983974  -2.53909457
## 174   5.078458e+00   5.055722738   0.4505914 -32.82983974  -2.53909457
## 175   5.078458e+00   5.055722738   0.4505914 -32.82983974  -2.53909457
## 176   5.078458e+00   5.055722738   0.4505914 -32.82983974  -2.53909457
## 177   6.083464e+00   6.157599547   2.9217654  -0.61796018   7.28475384
## 178   6.083464e+00   6.157599547   2.9217654  -0.61796018   7.28475384
## 179   6.083464e+00   6.157599547   2.9217654  -0.61796018   7.28475384
## 180   6.083464e+00   6.157599547   2.9217654  -0.61796018   7.28475384
## 181   6.083464e+00   6.157599547   2.9217654  -0.61796018   7.28475384
## 182   6.083464e+00   6.157599547   2.9217654  -0.61796018   7.28475384
## 183   6.083464e+00   6.157599547   2.9217654  -0.61796018   7.28475384
## 184   6.083464e+00   6.157599547   2.9217654  -0.61796018   7.28475384
## 185   2.467150e+01 -13.081984586   3.0401042   0.28329110  -2.50086980
## 186   2.467150e+01 -13.081984586   3.0401042   0.28329110  -2.50086980
## 187   2.467150e+01 -13.081984586   3.0401042   0.28329110  -2.50086980
## 188   2.467150e+01 -13.081984586   3.0401042   0.28329110  -2.50086980
## 189   2.467150e+01 -13.081984586   3.0401042   0.28329110  -2.50086980
## 190   2.467150e+01 -13.081984586   3.0401042   0.28329110  -2.50086980
## 191   2.467150e+01 -13.081984586   3.0401042   0.28329110  -2.50086980
## 192   2.467150e+01 -13.081984586   3.0401042   0.28329110  -2.50086980
## 193   4.878930e-02  -1.423952686 -23.5262671   5.66941224  16.63349875
## 194   4.878930e-02  -1.423952686 -23.5262671   5.66941224  16.63349875
## 195   4.878930e-02  -1.423952686 -23.5262671   5.66941224  16.63349875
## 196   4.878930e-02  -1.423952686 -23.5262671   5.66941224  16.63349875
## 197   4.878930e-02  -1.423952686 -23.5262671   5.66941224  16.63349875
## 198   4.878930e-02  -1.423952686 -23.5262671   5.66941224  16.63349875
## 199   4.878930e-02  -1.423952686 -23.5262671   5.66941224  16.63349875
## 200   4.878930e-02  -1.423952686 -23.5262671   5.66941224  16.63349875
## 201   1.843736e-01   5.153899929  -0.7358447  -1.33871842   0.13801727
## 202   1.843736e-01   5.153899929  -0.7358447  -1.33871842   0.13801727
## 203   1.843736e-01   5.153899929  -0.7358447  -1.33871842   0.13801727
## 204   1.843736e-01   5.153899929  -0.7358447  -1.33871842   0.13801727
## 205   1.843736e-01   5.153899929  -0.7358447  -1.33871842   0.13801727
## 206   1.843736e-01   5.153899929  -0.7358447  -1.33871842   0.13801727
## 207   1.843736e-01   5.153899929  -0.7358447  -1.33871842   0.13801727
## 208   1.843736e-01   5.153899929  -0.7358447  -1.33871842   0.13801727
## 209  -7.420833e+00   4.230510006  -4.9703356   0.86086854  -1.46951920
## 210  -7.420833e+00   4.230510006  -4.9703356   0.86086854  -1.46951920
## 211  -7.420833e+00   4.230510006  -4.9703356   0.86086854  -1.46951920
## 212  -7.420833e+00   4.230510006  -4.9703356   0.86086854  -1.46951920
## 213  -7.420833e+00   4.230510006  -4.9703356   0.86086854  -1.46951920
## 214  -7.420833e+00   4.230510006  -4.9703356   0.86086854  -1.46951920
## 215  -7.420833e+00   4.230510006  -4.9703356   0.86086854  -1.46951920
## 216  -7.420833e+00   4.230510006  -4.9703356   0.86086854  -1.46951920
## 217  -2.226773e+01   2.026314616   1.4023914   0.23681208  -0.88977644
## 218  -2.226773e+01   2.026314616   1.4023914   0.23681208  -0.88977644
## 219  -2.226773e+01   2.026314616   1.4023914   0.23681208  -0.88977644
## 220  -2.226773e+01   2.026314616   1.4023914   0.23681208  -0.88977644
## 221  -2.226773e+01   2.026314616   1.4023914   0.23681208  -0.88977644
## 222  -2.226773e+01   2.026314616   1.4023914   0.23681208  -0.88977644
## 223  -2.226773e+01   2.026314616   1.4023914   0.23681208  -0.88977644
## 224  -2.226773e+01   2.026314616   1.4023914   0.23681208  -0.88977644
## 225   1.040886e+00   0.751633375   0.2848008   5.61201134   0.35645078
## 226   1.040886e+00   0.751633375   0.2848008   5.61201134   0.35645078
## 227   1.040886e+00   0.751633375   0.2848008   5.61201134   0.35645078
## 228   1.040886e+00   0.751633375   0.2848008   5.61201134   0.35645078
## 229   1.040886e+00   0.751633375   0.2848008   5.61201134   0.35645078
## 230   1.040886e+00   0.751633375   0.2848008   5.61201134   0.35645078
## 231   1.040886e+00   0.751633375   0.2848008   5.61201134   0.35645078
## 232   1.040886e+00   0.751633375   0.2848008   5.61201134   0.35645078
## 233  -9.879233e-01 -31.128946931   3.6731995   1.24676687  -0.77979626
## 234  -9.879233e-01 -31.128946931   3.6731995   1.24676687  -0.77979626
## 235  -9.879233e-01 -31.128946931   3.6731995   1.24676687  -0.77979626
## 236  -9.879233e-01 -31.128946931   3.6731995   1.24676687  -0.77979626
## 237  -9.879233e-01 -31.128946931   3.6731995   1.24676687  -0.77979626
## 238  -9.879233e-01 -31.128946931   3.6731995   1.24676687  -0.77979626
## 239  -9.879233e-01 -31.128946931   3.6731995   1.24676687  -0.77979626
## 240  -9.879233e-01 -31.128946931   3.6731995   1.24676687  -0.77979626
## 241   3.940943e+00   5.196264993  37.4537484  -1.71404180   1.35248101
## 242   3.940943e+00   5.196264993  37.4537484  -1.71404180   1.35248101
## 243   3.940943e+00   5.196264993  37.4537484  -1.71404180   1.35248101
## 244   3.940943e+00   5.196264993  37.4537484  -1.71404180   1.35248101
## 245   3.940943e+00   5.196264993  37.4537484  -1.71404180   1.35248101
## 246   3.940943e+00   5.196264993  37.4537484  -1.71404180   1.35248101
## 247   3.940943e+00   5.196264993  37.4537484  -1.71404180   1.35248101
## 248   3.940943e+00   5.196264993  37.4537484  -1.71404180   1.35248101
## 249  -2.954943e+00  -0.868429347 -14.1823946   1.17929119  -6.66669697
## 250  -2.954943e+00  -0.868429347 -14.1823946   1.17929119  -6.66669697
## 251  -2.954943e+00  -0.868429347 -14.1823946   1.17929119  -6.66669697
## 252  -2.954943e+00  -0.868429347 -14.1823946   1.17929119  -6.66669697
## 253  -2.954943e+00  -0.868429347 -14.1823946   1.17929119  -6.66669697
## 254  -2.954943e+00  -0.868429347 -14.1823946   1.17929119  -6.66669697
## 255  -2.954943e+00  -0.868429347 -14.1823946   1.17929119  -6.66669697
## 256  -2.954943e+00  -0.868429347 -14.1823946   1.17929119  -6.66669697
## 257   1.705935e+00   6.577447289  -5.4371523   3.12071556  -6.28138925
## 258   1.705935e+00   6.577447289  -5.4371523   3.12071556  -6.28138925
## 259   1.705935e+00   6.577447289  -5.4371523   3.12071556  -6.28138925
## 260   1.705935e+00   6.577447289  -5.4371523   3.12071556  -6.28138925
## 261   1.705935e+00   6.577447289  -5.4371523   3.12071556  -6.28138925
## 262   1.705935e+00   6.577447289  -5.4371523   3.12071556  -6.28138925
## 263   1.705935e+00   6.577447289  -5.4371523   3.12071556  -6.28138925
## 264   1.705935e+00   6.577447289  -5.4371523   3.12071556  -6.28138925
## 265   3.241274e+00  -6.563090752  13.9891612  -1.83698842  37.71796016
## 266   3.241274e+00  -6.563090752  13.9891612  -1.83698842  37.71796016
## 267   3.241274e+00  -6.563090752  13.9891612  -1.83698842  37.71796016
## 268   3.241274e+00  -6.563090752  13.9891612  -1.83698842  37.71796016
## 269   3.241274e+00  -6.563090752  13.9891612  -1.83698842  37.71796016
## 270   3.241274e+00  -6.563090752  13.9891612  -1.83698842  37.71796016
## 271   3.241274e+00  -6.563090752  13.9891612  -1.83698842  37.71796016
## 272   3.241274e+00  -6.563090752  13.9891612  -1.83698842  37.71796016
## 273   2.555833e-01  23.413636298   2.1562568   0.90621476  22.20673521
## 274   2.555833e-01  23.413636298   2.1562568   0.90621476  22.20673521
## 275   2.555833e-01  23.413636298   2.1562568   0.90621476  22.20673521
## 276   2.555833e-01  23.413636298   2.1562568   0.90621476  22.20673521
## 277   2.555833e-01  23.413636298   2.1562568   0.90621476  22.20673521
## 278   2.555833e-01  23.413636298   2.1562568   0.90621476  22.20673521
## 279   2.555833e-01  23.413636298   2.1562568   0.90621476  22.20673521
## 280   2.555833e-01  23.413636298   2.1562568   0.90621476  22.20673521
## 281   4.642632e+00  23.253539210  -3.5110637  -1.62477351  -4.08295361
## 282   4.642632e+00  23.253539210  -3.5110637  -1.62477351  -4.08295361
## 283   4.642632e+00  23.253539210  -3.5110637  -1.62477351  -4.08295361
## 284   4.642632e+00  23.253539210  -3.5110637  -1.62477351  -4.08295361
## 285   4.642632e+00  23.253539210  -3.5110637  -1.62477351  -4.08295361
## 286   4.642632e+00  23.253539210  -3.5110637  -1.62477351  -4.08295361
## 287   4.642632e+00  23.253539210  -3.5110637  -1.62477351  -4.08295361
## 288   4.642632e+00  23.253539210  -3.5110637  -1.62477351  -4.08295361
## 289   8.726141e+00  19.077804718  -1.3828562   3.22626489  19.75270773
## 290   8.726141e+00  19.077804718  -1.3828562   3.22626489  19.75270773
## 291   8.726141e+00  19.077804718  -1.3828562   3.22626489  19.75270773
## 292   8.726141e+00  19.077804718  -1.3828562   3.22626489  19.75270773
## 293   8.726141e+00  19.077804718  -1.3828562   3.22626489  19.75270773
## 294   8.726141e+00  19.077804718  -1.3828562   3.22626489  19.75270773
## 295   8.726141e+00  19.077804718  -1.3828562   3.22626489  19.75270773
## 296   8.726141e+00  19.077804718  -1.3828562   3.22626489  19.75270773
## 297   5.113080e+00  10.467328917   7.8767186  -4.66328569   0.49216390
## 298   5.113080e+00  10.467328917   7.8767186  -4.66328569   0.49216390
## 299   5.113080e+00  10.467328917   7.8767186  -4.66328569   0.49216390
## 300   5.113080e+00  10.467328917   7.8767186  -4.66328569   0.49216390
## 301   5.113080e+00  10.467328917   7.8767186  -4.66328569   0.49216390
## 302   5.113080e+00  10.467328917   7.8767186  -4.66328569   0.49216390
## 303   5.113080e+00  10.467328917   7.8767186  -4.66328569   0.49216390
## 304   5.113080e+00  10.467328917   7.8767186  -4.66328569   0.49216390
## 305   2.962380e+00   2.195559852  -1.6151380   0.20951377  -4.18193565
## 306   2.962380e+00   2.195559852  -1.6151380   0.20951377  -4.18193565
## 307   2.962380e+00   2.195559852  -1.6151380   0.20951377  -4.18193565
## 308   2.962380e+00   2.195559852  -1.6151380   0.20951377  -4.18193565
## 309   2.962380e+00   2.195559852  -1.6151380   0.20951377  -4.18193565
## 310   2.962380e+00   2.195559852  -1.6151380   0.20951377  -4.18193565
## 311   2.962380e+00   2.195559852  -1.6151380   0.20951377  -4.18193565
## 312   2.962380e+00   2.195559852  -1.6151380   0.20951377  -4.18193565
## 313   6.428773e+00  13.347562617  -2.1311178   1.58000747   8.45580305
## 314   6.428773e+00  13.347562617  -2.1311178   1.58000747   8.45580305
## 315   6.428773e+00  13.347562617  -2.1311178   1.58000747   8.45580305
## 316   6.428773e+00  13.347562617  -2.1311178   1.58000747   8.45580305
## 317   6.428773e+00  13.347562617  -2.1311178   1.58000747   8.45580305
## 318   6.428773e+00  13.347562617  -2.1311178   1.58000747   8.45580305
## 319   6.428773e+00  13.347562617  -2.1311178   1.58000747   8.45580305
## 320   6.428773e+00  13.347562617  -2.1311178   1.58000747   8.45580305
## 321   6.864421e+00  36.305301816 -11.6427547  -4.09563770 -10.34182629
## 322   6.864421e+00  36.305301816 -11.6427547  -4.09563770 -10.34182629
## 323   6.864421e+00  36.305301816 -11.6427547  -4.09563770 -10.34182629
## 324   6.864421e+00  36.305301816 -11.6427547  -4.09563770 -10.34182629
## 325   6.864421e+00  36.305301816 -11.6427547  -4.09563770 -10.34182629
## 326   6.864421e+00  36.305301816 -11.6427547  -4.09563770 -10.34182629
## 327   6.864421e+00  36.305301816 -11.6427547  -4.09563770 -10.34182629
## 328   6.864421e+00  36.305301816 -11.6427547  -4.09563770 -10.34182629
## 329   4.231525e+00  14.734289563  -7.5888886   4.38235220  -7.83049048
## 330   4.231525e+00  14.734289563  -7.5888886   4.38235220  -7.83049048
## 331   4.231525e+00  14.734289563  -7.5888886   4.38235220  -7.83049048
## 332   4.231525e+00  14.734289563  -7.5888886   4.38235220  -7.83049048
## 333   4.231525e+00  14.734289563  -7.5888886   4.38235220  -7.83049048
## 334   4.231525e+00  14.734289563  -7.5888886   4.38235220  -7.83049048
## 335   4.231525e+00  14.734289563  -7.5888886   4.38235220  -7.83049048
## 336   4.231525e+00  14.734289563  -7.5888886   4.38235220  -7.83049048
## 337   3.031899e+00 -53.524458194   1.6055585   0.04680508 -13.86139213
## 338   3.031899e+00 -53.524458194   1.6055585   0.04680508 -13.86139213
## 339   3.031899e+00 -53.524458194   1.6055585   0.04680508 -13.86139213
## 340   3.031899e+00 -53.524458194   1.6055585   0.04680508 -13.86139213
## 341   3.031899e+00 -53.524458194   1.6055585   0.04680508 -13.86139213
## 342   3.031899e+00 -53.524458194   1.6055585   0.04680508 -13.86139213
## 343   3.031899e+00 -53.524458194   1.6055585   0.04680508 -13.86139213
## 344   3.031899e+00 -53.524458194   1.6055585   0.04680508 -13.86139213
## 345   3.274135e+00 -38.095038495  -4.2879673   0.24396683  13.75338281
## 346   3.274135e+00 -38.095038495  -4.2879673   0.24396683  13.75338281
## 347   3.274135e+00 -38.095038495  -4.2879673   0.24396683  13.75338281
## 348   3.274135e+00 -38.095038495  -4.2879673   0.24396683  13.75338281
## 349   3.274135e+00 -38.095038495  -4.2879673   0.24396683  13.75338281
## 350   3.274135e+00 -38.095038495  -4.2879673   0.24396683  13.75338281
## 351   3.274135e+00 -38.095038495  -4.2879673   0.24396683  13.75338281
## 352   3.274135e+00 -38.095038495  -4.2879673   0.24396683  13.75338281
## 353  -2.507627e+00  -6.204394952  16.8327337   3.36011529  15.03169112
## 354  -2.507627e+00  -6.204394952  16.8327337   3.36011529  15.03169112
## 355  -2.507627e+00  -6.204394952  16.8327337   3.36011529  15.03169112
## 356  -2.507627e+00  -6.204394952  16.8327337   3.36011529  15.03169112
## 357  -2.507627e+00  -6.204394952  16.8327337   3.36011529  15.03169112
## 358  -2.507627e+00  -6.204394952  16.8327337   3.36011529  15.03169112
## 359  -2.507627e+00  -6.204394952  16.8327337   3.36011529  15.03169112
## 360  -2.507627e+00  -6.204394952  16.8327337   3.36011529  15.03169112
## 361  -1.220834e+00   2.802058975  -2.5359722  -0.49690851   1.37192576
## 362  -1.220834e+00   2.802058975  -2.5359722  -0.49690851   1.37192576
## 363  -1.220834e+00   2.802058975  -2.5359722  -0.49690851   1.37192576
## 364  -1.220834e+00   2.802058975  -2.5359722  -0.49690851   1.37192576
## 365  -1.220834e+00   2.802058975  -2.5359722  -0.49690851   1.37192576
## 366  -1.220834e+00   2.802058975  -2.5359722  -0.49690851   1.37192576
## 367  -1.220834e+00   2.802058975  -2.5359722  -0.49690851   1.37192576
## 368  -1.220834e+00   2.802058975  -2.5359722  -0.49690851   1.37192576
## 369   3.078770e+00  -0.751495361 -25.1346696  -2.60332306   6.27810843
## 370   3.078770e+00  -0.751495361 -25.1346696  -2.60332306   6.27810843
## 371   3.078770e+00  -0.751495361 -25.1346696  -2.60332306   6.27810843
## 372   3.078770e+00  -0.751495361 -25.1346696  -2.60332306   6.27810843
## 373   3.078770e+00  -0.751495361 -25.1346696  -2.60332306   6.27810843
## 374   3.078770e+00  -0.751495361 -25.1346696  -2.60332306   6.27810843
## 375   3.078770e+00  -0.751495361 -25.1346696  -2.60332306   6.27810843
## 376   3.078770e+00  -0.751495361 -25.1346696  -2.60332306   6.27810843
## 377   1.431998e+00   0.252754189  25.3762116  -0.90172057  -6.07396520
## 378   1.431998e+00   0.252754189  25.3762116  -0.90172057  -6.07396520
## 379   1.431998e+00   0.252754189  25.3762116  -0.90172057  -6.07396520
## 380   1.431998e+00   0.252754189  25.3762116  -0.90172057  -6.07396520
## 381   1.431998e+00   0.252754189  25.3762116  -0.90172057  -6.07396520
## 382   1.431998e+00   0.252754189  25.3762116  -0.90172057  -6.07396520
## 383   1.431998e+00   0.252754189  25.3762116  -0.90172057  -6.07396520
## 384   1.431998e+00   0.252754189  25.3762116  -0.90172057  -6.07396520
## 385   2.507726e+00   2.381885884   0.1576125  13.49978258  -4.86752647
## 386   2.507726e+00   2.381885884   0.1576125  13.49978258  -4.86752647
## 387   2.507726e+00   2.381885884   0.1576125  13.49978258  -4.86752647
## 388   2.507726e+00   2.381885884   0.1576125  13.49978258  -4.86752647
## 389   2.507726e+00   2.381885884   0.1576125  13.49978258  -4.86752647
## 390   2.507726e+00   2.381885884   0.1576125  13.49978258  -4.86752647
## 391   2.507726e+00   2.381885884   0.1576125  13.49978258  -4.86752647
## 392   2.507726e+00   2.381885884   0.1576125  13.49978258  -4.86752647
## 393   6.021204e-03  -1.668246943   0.7509603 -88.15360852  -2.68465303
## 394   6.021204e-03  -1.668246943   0.7509603 -88.15360852  -2.68465303
## 395   6.021204e-03  -1.668246943   0.7509603 -88.15360852  -2.68465303
## 396   6.021204e-03  -1.668246943   0.7509603 -88.15360852  -2.68465303
## 397   6.021204e-03  -1.668246943   0.7509603 -88.15360852  -2.68465303
## 398   6.021204e-03  -1.668246943   0.7509603 -88.15360852  -2.68465303
## 399   6.021204e-03  -1.668246943   0.7509603 -88.15360852  -2.68465303
## 400   6.021204e-03  -1.668246943   0.7509603 -88.15360852  -2.68465303
## 401   3.207273e+00  25.115244661  -0.1954444   4.24226316  -6.31164531
## 402   3.207273e+00  25.115244661  -0.1954444   4.24226316  -6.31164531
## 403   3.207273e+00  25.115244661  -0.1954444   4.24226316  -6.31164531
## 404   3.207273e+00  25.115244661  -0.1954444   4.24226316  -6.31164531
## 405   3.207273e+00  25.115244661  -0.1954444   4.24226316  -6.31164531
## 406   3.207273e+00  25.115244661  -0.1954444   4.24226316  -6.31164531
## 407   3.207273e+00  25.115244661  -0.1954444   4.24226316  -6.31164531
## 408   3.207273e+00  25.115244661  -0.1954444   4.24226316  -6.31164531
## 409   1.670000e-01  -0.098582692   0.2841892   2.07010444 -23.57538843
## 410   1.670000e-01  -0.098582692   0.2841892   2.07010444 -23.57538843
## 411   1.670000e-01  -0.098582692   0.2841892   2.07010444 -23.57538843
## 412   1.670000e-01  -0.098582692   0.2841892   2.07010444 -23.57538843
## 413   1.670000e-01  -0.098582692   0.2841892   2.07010444 -23.57538843
## 414   1.670000e-01  -0.098582692   0.2841892   2.07010444 -23.57538843
## 415   1.670000e-01  -0.098582692   0.2841892   2.07010444 -23.57538843
## 416   1.670000e-01  -0.098582692   0.2841892   2.07010444 -23.57538843
## 417   4.728891e+00  -0.785690030   4.7654740   9.64512416   3.82635206
## 418   4.728891e+00  -0.785690030   4.7654740   9.64512416   3.82635206
## 419   4.728891e+00  -0.785690030   4.7654740   9.64512416   3.82635206
## 420   4.728891e+00  -0.785690030   4.7654740   9.64512416   3.82635206
## 421   4.728891e+00  -0.785690030   4.7654740   9.64512416   3.82635206
## 422   4.728891e+00  -0.785690030   4.7654740   9.64512416   3.82635206
## 423   4.728891e+00  -0.785690030   4.7654740   9.64512416   3.82635206
## 424   4.728891e+00  -0.785690030   4.7654740   9.64512416   3.82635206
## 425  -7.207341e+00  -3.397881826   1.6091571  -1.18810463  -2.45284410
## 426  -7.207341e+00  -3.397881826   1.6091571  -1.18810463  -2.45284410
## 427  -7.207341e+00  -3.397881826   1.6091571  -1.18810463  -2.45284410
## 428  -7.207341e+00  -3.397881826   1.6091571  -1.18810463  -2.45284410
## 429  -7.207341e+00  -3.397881826   1.6091571  -1.18810463  -2.45284410
## 430  -7.207341e+00  -3.397881826   1.6091571  -1.18810463  -2.45284410
## 431  -7.207341e+00  -3.397881826   1.6091571  -1.18810463  -2.45284410
## 432  -7.207341e+00  -3.397881826   1.6091571  -1.18810463  -2.45284410
## 433   2.602533e+00   4.673941422  -2.1454388  -0.48440366  15.25001423
## 434   2.602533e+00   4.673941422  -2.1454388  -0.48440366  15.25001423
## 435   2.602533e+00   4.673941422  -2.1454388  -0.48440366  15.25001423
## 436   2.602533e+00   4.673941422  -2.1454388  -0.48440366  15.25001423
## 437   2.602533e+00   4.673941422  -2.1454388  -0.48440366  15.25001423
## 438   2.602533e+00   4.673941422  -2.1454388  -0.48440366  15.25001423
## 439   2.602533e+00   4.673941422  -2.1454388  -0.48440366  15.25001423
## 440   2.602533e+00   4.673941422  -2.1454388  -0.48440366  15.25001423
## 441  -9.521527e+00   8.412414820  -4.1441921   1.17660963  -2.47861412
## 442  -9.521527e+00   8.412414820  -4.1441921   1.17660963  -2.47861412
## 443  -9.521527e+00   8.412414820  -4.1441921   1.17660963  -2.47861412
## 444  -9.521527e+00   8.412414820  -4.1441921   1.17660963  -2.47861412
## 445  -9.521527e+00   8.412414820  -4.1441921   1.17660963  -2.47861412
## 446  -9.521527e+00   8.412414820  -4.1441921   1.17660963  -2.47861412
## 447  -9.521527e+00   8.412414820  -4.1441921   1.17660963  -2.47861412
## 448  -9.521527e+00   8.412414820  -4.1441921   1.17660963  -2.47861412
## 449   3.062852e-01  -5.511876893 -14.8993984   1.23556954  -3.96411902
## 450   3.062852e-01  -5.511876893 -14.8993984   1.23556954  -3.96411902
## 451   3.062852e-01  -5.511876893 -14.8993984   1.23556954  -3.96411902
## 452   3.062852e-01  -5.511876893 -14.8993984   1.23556954  -3.96411902
## 453   3.062852e-01  -5.511876893 -14.8993984   1.23556954  -3.96411902
## 454   3.062852e-01  -5.511876893 -14.8993984   1.23556954  -3.96411902
## 455   3.062852e-01  -5.511876893 -14.8993984   1.23556954  -3.96411902
## 456   3.062852e-01  -5.511876893 -14.8993984   1.23556954  -3.96411902
## 457   1.797264e+00   6.846445863  32.5261954   1.62600981 -24.59703676
## 458   1.797264e+00   6.846445863  32.5261954   1.62600981 -24.59703676
## 459   1.797264e+00   6.846445863  32.5261954   1.62600981 -24.59703676
## 460   1.797264e+00   6.846445863  32.5261954   1.62600981 -24.59703676
## 461   1.797264e+00   6.846445863  32.5261954   1.62600981 -24.59703676
## 462   1.797264e+00   6.846445863  32.5261954   1.62600981 -24.59703676
## 463   1.797264e+00   6.846445863  32.5261954   1.62600981 -24.59703676
## 464   1.797264e+00   6.846445863  32.5261954   1.62600981 -24.59703676
## 465   1.034344e+00   8.748495611  -2.7692167   3.69451522 -65.58052468
## 466   1.034344e+00   8.748495611  -2.7692167   3.69451522 -65.58052468
## 467   1.034344e+00   8.748495611  -2.7692167   3.69451522 -65.58052468
## 468   1.034344e+00   8.748495611  -2.7692167   3.69451522 -65.58052468
## 469   1.034344e+00   8.748495611  -2.7692167   3.69451522 -65.58052468
## 470   1.034344e+00   8.748495611  -2.7692167   3.69451522 -65.58052468
## 471   1.034344e+00   8.748495611  -2.7692167   3.69451522 -65.58052468
## 472   1.034344e+00   8.748495611  -2.7692167   3.69451522 -65.58052468
## 473  -9.173690e+00  -8.634156032  -6.9319327   1.54656361   1.11743854
## 474  -9.173690e+00  -8.634156032  -6.9319327   1.54656361   1.11743854
## 475  -9.173690e+00  -8.634156032  -6.9319327   1.54656361   1.11743854
## 476  -9.173690e+00  -8.634156032  -6.9319327   1.54656361   1.11743854
## 477  -9.173690e+00  -8.634156032  -6.9319327   1.54656361   1.11743854
## 478  -9.173690e+00  -8.634156032  -6.9319327   1.54656361   1.11743854
## 479  -9.173690e+00  -8.634156032  -6.9319327   1.54656361   1.11743854
## 480  -9.173690e+00  -8.634156032  -6.9319327   1.54656361   1.11743854
## 481   1.202791e+01 -14.601639493   1.8430611  -0.67083884  -5.47329395
## 482   1.202791e+01 -14.601639493   1.8430611  -0.67083884  -5.47329395
## 483   1.202791e+01 -14.601639493   1.8430611  -0.67083884  -5.47329395
## 484   1.202791e+01 -14.601639493   1.8430611  -0.67083884  -5.47329395
## 485   1.202791e+01 -14.601639493   1.8430611  -0.67083884  -5.47329395
## 486   1.202791e+01 -14.601639493   1.8430611  -0.67083884  -5.47329395
## 487   1.202791e+01 -14.601639493   1.8430611  -0.67083884  -5.47329395
## 488   1.202791e+01 -14.601639493   1.8430611  -0.67083884  -5.47329395
## 489   6.639076e+00  -5.027474079  -6.1392254  -1.52191603   5.41169874
## 490   6.639076e+00  -5.027474079  -6.1392254  -1.52191603   5.41169874
## 491   6.639076e+00  -5.027474079  -6.1392254  -1.52191603   5.41169874
## 492   6.639076e+00  -5.027474079  -6.1392254  -1.52191603   5.41169874
## 493   6.639076e+00  -5.027474079  -6.1392254  -1.52191603   5.41169874
## 494   6.639076e+00  -5.027474079  -6.1392254  -1.52191603   5.41169874
## 495   6.639076e+00  -5.027474079  -6.1392254  -1.52191603   5.41169874
## 496   6.639076e+00  -5.027474079  -6.1392254  -1.52191603   5.41169874
## 497   3.447169e+00   9.621144264   1.9298873  -2.35253370  -6.87602135
## 498   3.447169e+00   9.621144264   1.9298873  -2.35253370  -6.87602135
## 499   3.447169e+00   9.621144264   1.9298873  -2.35253370  -6.87602135
## 500   3.447169e+00   9.621144264   1.9298873  -2.35253370  -6.87602135
## 501   3.447169e+00   9.621144264   1.9298873  -2.35253370  -6.87602135
## 502   3.447169e+00   9.621144264   1.9298873  -2.35253370  -6.87602135
## 503   3.447169e+00   9.621144264   1.9298873  -2.35253370  -6.87602135
## 504   3.447169e+00   9.621144264   1.9298873  -2.35253370  -6.87602135
## 505   1.353293e+01 -10.158214814  -5.8507953   0.48934737   2.31632777
## 506   1.353293e+01 -10.158214814  -5.8507953   0.48934737   2.31632777
## 507   1.353293e+01 -10.158214814  -5.8507953   0.48934737   2.31632777
## 508   1.353293e+01 -10.158214814  -5.8507953   0.48934737   2.31632777
## 509   1.353293e+01 -10.158214814  -5.8507953   0.48934737   2.31632777
## 510   1.353293e+01 -10.158214814  -5.8507953   0.48934737   2.31632777
## 511   1.353293e+01 -10.158214814  -5.8507953   0.48934737   2.31632777
## 512   1.353293e+01 -10.158214814  -5.8507953   0.48934737   2.31632777
## 513   4.911139e+00 -61.638483644 -10.7210845   2.89952391   6.26336728
## 514   4.911139e+00 -61.638483644 -10.7210845   2.89952391   6.26336728
## 515   4.911139e+00 -61.638483644 -10.7210845   2.89952391   6.26336728
## 516   4.911139e+00 -61.638483644 -10.7210845   2.89952391   6.26336728
## 517   4.911139e+00 -61.638483644 -10.7210845   2.89952391   6.26336728
## 518   4.911139e+00 -61.638483644 -10.7210845   2.89952391   6.26336728
## 519   4.911139e+00 -61.638483644 -10.7210845   2.89952391   6.26336728
## 520   4.911139e+00 -61.638483644 -10.7210845   2.89952391   6.26336728
## 521  -2.068843e+00  -2.046784214  21.9761781   5.25154032  -4.31988528
## 522  -2.068843e+00  -2.046784214  21.9761781   5.25154032  -4.31988528
## 523  -2.068843e+00  -2.046784214  21.9761781   5.25154032  -4.31988528
## 524  -2.068843e+00  -2.046784214  21.9761781   5.25154032  -4.31988528
## 525  -2.068843e+00  -2.046784214  21.9761781   5.25154032  -4.31988528
## 526  -2.068843e+00  -2.046784214  21.9761781   5.25154032  -4.31988528
## 527  -2.068843e+00  -2.046784214  21.9761781   5.25154032  -4.31988528
## 528  -2.068843e+00  -2.046784214  21.9761781   5.25154032  -4.31988528
## 529  -1.522411e-01 -36.020137901  12.8234137  -1.46354742  -6.22637132
## 530  -1.522411e-01 -36.020137901  12.8234137  -1.46354742  -6.22637132
## 531  -1.522411e-01 -36.020137901  12.8234137  -1.46354742  -6.22637132
## 532  -1.522411e-01 -36.020137901  12.8234137  -1.46354742  -6.22637132
## 533  -1.522411e-01 -36.020137901  12.8234137  -1.46354742  -6.22637132
## 534  -1.522411e-01 -36.020137901  12.8234137  -1.46354742  -6.22637132
## 535  -1.522411e-01 -36.020137901  12.8234137  -1.46354742  -6.22637132
## 536  -1.522411e-01 -36.020137901  12.8234137  -1.46354742  -6.22637132
## 537   2.540960e+00  -4.624183084   2.9245669   4.58684672 -14.55073878
## 538   2.540960e+00  -4.624183084   2.9245669   4.58684672 -14.55073878
## 539   2.540960e+00  -4.624183084   2.9245669   4.58684672 -14.55073878
## 540   2.540960e+00  -4.624183084   2.9245669   4.58684672 -14.55073878
## 541   2.540960e+00  -4.624183084   2.9245669   4.58684672 -14.55073878
## 542   2.540960e+00  -4.624183084   2.9245669   4.58684672 -14.55073878
## 543   2.540960e+00  -4.624183084   2.9245669   4.58684672 -14.55073878
## 544   2.540960e+00  -4.624183084   2.9245669   4.58684672 -14.55073878
## 545   8.445529e-01  -1.382892249  -8.0097938  13.67245973   3.27228163
## 546   8.445529e-01  -1.382892249  -8.0097938  13.67245973   3.27228163
## 547   8.445529e-01  -1.382892249  -8.0097938  13.67245973   3.27228163
## 548   8.445529e-01  -1.382892249  -8.0097938  13.67245973   3.27228163
## 549   8.445529e-01  -1.382892249  -8.0097938  13.67245973   3.27228163
## 550   8.445529e-01  -1.382892249  -8.0097938  13.67245973   3.27228163
## 551   8.445529e-01  -1.382892249  -8.0097938  13.67245973   3.27228163
## 552   8.445529e-01  -1.382892249  -8.0097938  13.67245973   3.27228163
## 553   1.563106e+00  -4.056176252  -8.5277964  -3.91427535   9.32363365
## 554   1.563106e+00  -4.056176252  -8.5277964  -3.91427535   9.32363365
## 555   1.563106e+00  -4.056176252  -8.5277964  -3.91427535   9.32363365
## 556   1.563106e+00  -4.056176252  -8.5277964  -3.91427535   9.32363365
## 557   1.563106e+00  -4.056176252  -8.5277964  -3.91427535   9.32363365
## 558   1.563106e+00  -4.056176252  -8.5277964  -3.91427535   9.32363365
## 559   1.563106e+00  -4.056176252  -8.5277964  -3.91427535   9.32363365
## 560   1.563106e+00  -4.056176252  -8.5277964  -3.91427535   9.32363365
## 561   3.918103e+00   2.328936761 -15.2020330  -2.28263530  -6.77783596
## 562   3.918103e+00   2.328936761 -15.2020330  -2.28263530  -6.77783596
## 563   3.918103e+00   2.328936761 -15.2020330  -2.28263530  -6.77783596
## 564   3.918103e+00   2.328936761 -15.2020330  -2.28263530  -6.77783596
## 565   3.918103e+00   2.328936761 -15.2020330  -2.28263530  -6.77783596
## 566   3.918103e+00   2.328936761 -15.2020330  -2.28263530  -6.77783596
## 567   3.918103e+00   2.328936761 -15.2020330  -2.28263530  -6.77783596
## 568   3.918103e+00   2.328936761 -15.2020330  -2.28263530  -6.77783596
## 569   4.343714e+00   2.112136461  -1.7868237 -29.02820744  -3.57916748
## 570   4.343714e+00   2.112136461  -1.7868237 -29.02820744  -3.57916748
## 571   4.343714e+00   2.112136461  -1.7868237 -29.02820744  -3.57916748
## 572   4.343714e+00   2.112136461  -1.7868237 -29.02820744  -3.57916748
## 573   4.343714e+00   2.112136461  -1.7868237 -29.02820744  -3.57916748
## 574   4.343714e+00   2.112136461  -1.7868237 -29.02820744  -3.57916748
## 575   4.343714e+00   2.112136461  -1.7868237 -29.02820744  -3.57916748
## 576   4.343714e+00   2.112136461  -1.7868237 -29.02820744  -3.57916748
## 577   2.305074e+00   0.597770433  -9.7216837   3.53317720  -3.93045455
## 578   2.305074e+00   0.597770433  -9.7216837   3.53317720  -3.93045455
## 579   2.305074e+00   0.597770433  -9.7216837   3.53317720  -3.93045455
## 580   2.305074e+00   0.597770433  -9.7216837   3.53317720  -3.93045455
## 581   2.305074e+00   0.597770433  -9.7216837   3.53317720  -3.93045455
## 582   2.305074e+00   0.597770433  -9.7216837   3.53317720  -3.93045455
## 583   2.305074e+00   0.597770433  -9.7216837   3.53317720  -3.93045455
## 584   2.305074e+00   0.597770433  -9.7216837   3.53317720  -3.93045455
## 585  -3.275771e-01   3.119197374  -0.4853844  -0.21412841   5.21729077
## 586  -3.275771e-01   3.119197374  -0.4853844  -0.21412841   5.21729077
## 587  -3.275771e-01   3.119197374  -0.4853844  -0.21412841   5.21729077
## 588  -3.275771e-01   3.119197374  -0.4853844  -0.21412841   5.21729077
## 589  -3.275771e-01   3.119197374  -0.4853844  -0.21412841   5.21729077
## 590  -3.275771e-01   3.119197374  -0.4853844  -0.21412841   5.21729077
## 591  -3.275771e-01   3.119197374  -0.4853844  -0.21412841   5.21729077
## 592  -3.275771e-01   3.119197374  -0.4853844  -0.21412841   5.21729077
## 593   6.470965e+00  -3.719984771   3.3327430  -1.34724758   1.72360707
## 594   6.470965e+00  -3.719984771   3.3327430  -1.34724758   1.72360707
## 595   6.470965e+00  -3.719984771   3.3327430  -1.34724758   1.72360707
## 596   6.470965e+00  -3.719984771   3.3327430  -1.34724758   1.72360707
## 597   6.470965e+00  -3.719984771   3.3327430  -1.34724758   1.72360707
## 598   6.470965e+00  -3.719984771   3.3327430  -1.34724758   1.72360707
## 599   6.470965e+00  -3.719984771   3.3327430  -1.34724758   1.72360707
## 600   6.470965e+00  -3.719984771   3.3327430  -1.34724758   1.72360707
## 601   3.139548e+00   0.829649440   5.9781843  -2.43418671   0.53273993
## 602   3.139548e+00   0.829649440   5.9781843  -2.43418671   0.53273993
## 603   3.139548e+00   0.829649440   5.9781843  -2.43418671   0.53273993
## 604   3.139548e+00   0.829649440   5.9781843  -2.43418671   0.53273993
## 605   3.139548e+00   0.829649440   5.9781843  -2.43418671   0.53273993
## 606   3.139548e+00   0.829649440   5.9781843  -2.43418671   0.53273993
## 607   3.139548e+00   0.829649440   5.9781843  -2.43418671   0.53273993
## 608   3.139548e+00   0.829649440   5.9781843  -2.43418671   0.53273993
## 609   5.076352e+00   4.395229246 -12.7067374   2.02467182  -1.85102889
## 610   5.076352e+00   4.395229246 -12.7067374   2.02467182  -1.85102889
## 611   5.076352e+00   4.395229246 -12.7067374   2.02467182  -1.85102889
## 612   5.076352e+00   4.395229246 -12.7067374   2.02467182  -1.85102889
## 613   5.076352e+00   4.395229246 -12.7067374   2.02467182  -1.85102889
## 614   5.076352e+00   4.395229246 -12.7067374   2.02467182  -1.85102889
## 615   5.076352e+00   4.395229246 -12.7067374   2.02467182  -1.85102889
## 616   5.076352e+00   4.395229246 -12.7067374   2.02467182  -1.85102889
## 617   5.202360e+00   2.121702142  -3.8263963   2.79616930  -2.64828117
## 618   5.202360e+00   2.121702142  -3.8263963   2.79616930  -2.64828117
## 619   5.202360e+00   2.121702142  -3.8263963   2.79616930  -2.64828117
## 620   5.202360e+00   2.121702142  -3.8263963   2.79616930  -2.64828117
## 621   5.202360e+00   2.121702142  -3.8263963   2.79616930  -2.64828117
## 622   5.202360e+00   2.121702142  -3.8263963   2.79616930  -2.64828117
## 623   5.202360e+00   2.121702142  -3.8263963   2.79616930  -2.64828117
## 624   5.202360e+00   2.121702142  -3.8263963   2.79616930  -2.64828117
## 625   2.933321e+00  -6.686514990   3.5678810  -3.56393397  29.65368674
## 626   2.933321e+00  -6.686514990   3.5678810  -3.56393397  29.65368674
## 627   2.933321e+00  -6.686514990   3.5678810  -3.56393397  29.65368674
## 628   2.933321e+00  -6.686514990   3.5678810  -3.56393397  29.65368674
## 629   2.933321e+00  -6.686514990   3.5678810  -3.56393397  29.65368674
## 630   2.933321e+00  -6.686514990   3.5678810  -3.56393397  29.65368674
## 631   2.933321e+00  -6.686514990   3.5678810  -3.56393397  29.65368674
## 632   2.933321e+00  -6.686514990   3.5678810  -3.56393397  29.65368674
## 633  -3.876432e-02  -9.600200444   4.7455062  -0.29174783   2.37997417
## 634  -3.876432e-02  -9.600200444   4.7455062  -0.29174783   2.37997417
## 635  -3.876432e-02  -9.600200444   4.7455062  -0.29174783   2.37997417
## 636  -3.876432e-02  -9.600200444   4.7455062  -0.29174783   2.37997417
## 637  -3.876432e-02  -9.600200444   4.7455062  -0.29174783   2.37997417
## 638  -3.876432e-02  -9.600200444   4.7455062  -0.29174783   2.37997417
## 639  -3.876432e-02  -9.600200444   4.7455062  -0.29174783   2.37997417
## 640  -3.876432e-02  -9.600200444   4.7455062  -0.29174783   2.37997417
## 641   4.917566e+00  -4.121481041  -1.8311532   0.83129970   3.84390586
## 642   4.917566e+00  -4.121481041  -1.8311532   0.83129970   3.84390586
## 643   4.917566e+00  -4.121481041  -1.8311532   0.83129970   3.84390586
## 644   4.917566e+00  -4.121481041  -1.8311532   0.83129970   3.84390586
## 645   4.917566e+00  -4.121481041  -1.8311532   0.83129970   3.84390586
## 646   4.917566e+00  -4.121481041  -1.8311532   0.83129970   3.84390586
## 647   4.917566e+00  -4.121481041  -1.8311532   0.83129970   3.84390586
## 648   4.917566e+00  -4.121481041  -1.8311532   0.83129970   3.84390586
## 649   3.917626e+00  11.855415578   0.9380972   4.76236355  -8.00215966
## 650   3.917626e+00  11.855415578   0.9380972   4.76236355  -8.00215966
## 651   3.917626e+00  11.855415578   0.9380972   4.76236355  -8.00215966
## 652   3.917626e+00  11.855415578   0.9380972   4.76236355  -8.00215966
## 653   3.917626e+00  11.855415578   0.9380972   4.76236355  -8.00215966
## 654   3.917626e+00  11.855415578   0.9380972   4.76236355  -8.00215966
## 655   3.917626e+00  11.855415578   0.9380972   4.76236355  -8.00215966
## 656   3.917626e+00  11.855415578   0.9380972   4.76236355  -8.00215966
## 657   7.798113e+00   0.034492209  10.7547663   2.84105278 -15.62356115
## 658   7.798113e+00   0.034492209  10.7547663   2.84105278 -15.62356115
## 659   7.798113e+00   0.034492209  10.7547663   2.84105278 -15.62356115
## 660   7.798113e+00   0.034492209  10.7547663   2.84105278 -15.62356115
## 661   7.798113e+00   0.034492209  10.7547663   2.84105278 -15.62356115
## 662   7.798113e+00   0.034492209  10.7547663   2.84105278 -15.62356115
## 663   7.798113e+00   0.034492209  10.7547663   2.84105278 -15.62356115
## 664   7.798113e+00   0.034492209  10.7547663   2.84105278 -15.62356115
## 665   5.300195e+00  -6.208383590  -2.6832141   0.21959491  -4.25476158
## 666   5.300195e+00  -6.208383590  -2.6832141   0.21959491  -4.25476158
## 667   5.300195e+00  -6.208383590  -2.6832141   0.21959491  -4.25476158
## 668   5.300195e+00  -6.208383590  -2.6832141   0.21959491  -4.25476158
## 669   5.300195e+00  -6.208383590  -2.6832141   0.21959491  -4.25476158
## 670   5.300195e+00  -6.208383590  -2.6832141   0.21959491  -4.25476158
## 671   5.300195e+00  -6.208383590  -2.6832141   0.21959491  -4.25476158
## 672   5.300195e+00  -6.208383590  -2.6832141   0.21959491  -4.25476158
## 673   2.668958e+00   4.608872998   1.1505380   2.97007337  -3.99485657
## 674   2.668958e+00   4.608872998   1.1505380   2.97007337  -3.99485657
## 675   2.668958e+00   4.608872998   1.1505380   2.97007337  -3.99485657
## 676   2.668958e+00   4.608872998   1.1505380   2.97007337  -3.99485657
## 677   2.668958e+00   4.608872998   1.1505380   2.97007337  -3.99485657
## 678   2.668958e+00   4.608872998   1.1505380   2.97007337  -3.99485657
## 679   2.668958e+00   4.608872998   1.1505380   2.97007337  -3.99485657
## 680   2.668958e+00   4.608872998   1.1505380   2.97007337  -3.99485657
## 681  -4.295570e+00  31.315660096  -3.2255340  -0.51245915  -2.50688288
## 682  -4.295570e+00  31.315660096  -3.2255340  -0.51245915  -2.50688288
## 683  -4.295570e+00  31.315660096  -3.2255340  -0.51245915  -2.50688288
## 684  -4.295570e+00  31.315660096  -3.2255340  -0.51245915  -2.50688288
## 685  -4.295570e+00  31.315660096  -3.2255340  -0.51245915  -2.50688288
## 686  -4.295570e+00  31.315660096  -3.2255340  -0.51245915  -2.50688288
## 687  -4.295570e+00  31.315660096  -3.2255340  -0.51245915  -2.50688288
## 688  -4.295570e+00  31.315660096  -3.2255340  -0.51245915  -2.50688288
## 689   2.452476e+00   0.998797664   0.2482272   3.21354666  -0.50215706
## 690   2.452476e+00   0.998797664   0.2482272   3.21354666  -0.50215706
## 691   2.452476e+00   0.998797664   0.2482272   3.21354666  -0.50215706
## 692   2.452476e+00   0.998797664   0.2482272   3.21354666  -0.50215706
## 693   2.452476e+00   0.998797664   0.2482272   3.21354666  -0.50215706
## 694   2.452476e+00   0.998797664   0.2482272   3.21354666  -0.50215706
## 695   2.452476e+00   0.998797664   0.2482272   3.21354666  -0.50215706
## 696   2.452476e+00   0.998797664   0.2482272   3.21354666  -0.50215706
## 697  -5.150908e+00  -0.786302870  -7.4213071   0.45989170 -14.58673211
## 698  -5.150908e+00  -0.786302870  -7.4213071   0.45989170 -14.58673211
## 699  -5.150908e+00  -0.786302870  -7.4213071   0.45989170 -14.58673211
## 700  -5.150908e+00  -0.786302870  -7.4213071   0.45989170 -14.58673211
## 701  -5.150908e+00  -0.786302870  -7.4213071   0.45989170 -14.58673211
## 702  -5.150908e+00  -0.786302870  -7.4213071   0.45989170 -14.58673211
## 703  -5.150908e+00  -0.786302870  -7.4213071   0.45989170 -14.58673211
## 704  -5.150908e+00  -0.786302870  -7.4213071   0.45989170 -14.58673211
## 705   4.188016e+00   4.022965091  -2.2151198   2.19631902  -1.25466182
## 706   4.188016e+00   4.022965091  -2.2151198   2.19631902  -1.25466182
## 707   4.188016e+00   4.022965091  -2.2151198   2.19631902  -1.25466182
## 708   4.188016e+00   4.022965091  -2.2151198   2.19631902  -1.25466182
## 709   4.188016e+00   4.022965091  -2.2151198   2.19631902  -1.25466182
## 710   4.188016e+00   4.022965091  -2.2151198   2.19631902  -1.25466182
## 711   4.188016e+00   4.022965091  -2.2151198   2.19631902  -1.25466182
## 712   4.188016e+00   4.022965091  -2.2151198   2.19631902  -1.25466182
## 713   2.004379e+00   3.872002649  -1.8219682   4.42910113   4.82274745
## 714   2.004379e+00   3.872002649  -1.8219682   4.42910113   4.82274745
## 715   2.004379e+00   3.872002649  -1.8219682   4.42910113   4.82274745
## 716   2.004379e+00   3.872002649  -1.8219682   4.42910113   4.82274745
## 717   2.004379e+00   3.872002649  -1.8219682   4.42910113   4.82274745
## 718   2.004379e+00   3.872002649  -1.8219682   4.42910113   4.82274745
## 719   2.004379e+00   3.872002649  -1.8219682   4.42910113   4.82274745
## 720   2.004379e+00   3.872002649  -1.8219682   4.42910113   4.82274745
## 721   2.636949e+00  12.277368616   7.8979674  -2.84341421   0.21642436
## 722   2.636949e+00  12.277368616   7.8979674  -2.84341421   0.21642436
## 723   2.636949e+00  12.277368616   7.8979674  -2.84341421   0.21642436
## 724   2.636949e+00  12.277368616   7.8979674  -2.84341421   0.21642436
## 725   2.636949e+00  12.277368616   7.8979674  -2.84341421   0.21642436
## 726   2.636949e+00  12.277368616   7.8979674  -2.84341421   0.21642436
## 727   2.636949e+00  12.277368616   7.8979674  -2.84341421   0.21642436
## 728   2.636949e+00  12.277368616   7.8979674  -2.84341421   0.21642436
## 729   1.697736e+00   6.652714960  -1.5693948  -0.82852178  -3.06958489
## 730   1.697736e+00   6.652714960  -1.5693948  -0.82852178  -3.06958489
## 731   1.697736e+00   6.652714960  -1.5693948  -0.82852178  -3.06958489
## 732   1.697736e+00   6.652714960  -1.5693948  -0.82852178  -3.06958489
## 733   1.697736e+00   6.652714960  -1.5693948  -0.82852178  -3.06958489
## 734   1.697736e+00   6.652714960  -1.5693948  -0.82852178  -3.06958489
## 735   1.697736e+00   6.652714960  -1.5693948  -0.82852178  -3.06958489
## 736   1.697736e+00   6.652714960  -1.5693948  -0.82852178  -3.06958489
## 737  -7.215913e-01   2.754773117 -12.8921085  -8.85156749  -5.71058454
## 738  -7.215913e-01   2.754773117 -12.8921085  -8.85156749  -5.71058454
## 739  -7.215913e-01   2.754773117 -12.8921085  -8.85156749  -5.71058454
## 740  -7.215913e-01   2.754773117 -12.8921085  -8.85156749  -5.71058454
## 741  -7.215913e-01   2.754773117 -12.8921085  -8.85156749  -5.71058454
## 742  -7.215913e-01   2.754773117 -12.8921085  -8.85156749  -5.71058454
## 743  -7.215913e-01   2.754773117 -12.8921085  -8.85156749  -5.71058454
## 744  -7.215913e-01   2.754773117 -12.8921085  -8.85156749  -5.71058454
## 745  -1.102921e+00  -1.886921620  -1.6361484  -8.12640200  -2.96794777
## 746  -1.102921e+00  -1.886921620  -1.6361484  -8.12640200  -2.96794777
## 747  -1.102921e+00  -1.886921620  -1.6361484  -8.12640200  -2.96794777
## 748  -1.102921e+00  -1.886921620  -1.6361484  -8.12640200  -2.96794777
## 749  -1.102921e+00  -1.886921620  -1.6361484  -8.12640200  -2.96794777
## 750  -1.102921e+00  -1.886921620  -1.6361484  -8.12640200  -2.96794777
## 751  -1.102921e+00  -1.886921620  -1.6361484  -8.12640200  -2.96794777
## 752  -1.102921e+00  -1.886921620  -1.6361484  -8.12640200  -2.96794777
## 753  -1.570731e+00  -4.994095092  -8.4118138   0.26966700  -6.56066010
## 754  -1.570731e+00  -4.994095092  -8.4118138   0.26966700  -6.56066010
## 755  -1.570731e+00  -4.994095092  -8.4118138   0.26966700  -6.56066010
## 756  -1.570731e+00  -4.994095092  -8.4118138   0.26966700  -6.56066010
## 757  -1.570731e+00  -4.994095092  -8.4118138   0.26966700  -6.56066010
## 758  -1.570731e+00  -4.994095092  -8.4118138   0.26966700  -6.56066010
## 759  -1.570731e+00  -4.994095092  -8.4118138   0.26966700  -6.56066010
## 760  -1.570731e+00  -4.994095092  -8.4118138   0.26966700  -6.56066010
## 761   4.475686e+00   0.002267393 -30.7319544   2.16656623   0.06815494
## 762   4.475686e+00   0.002267393 -30.7319544   2.16656623   0.06815494
## 763   4.475686e+00   0.002267393 -30.7319544   2.16656623   0.06815494
## 764   4.475686e+00   0.002267393 -30.7319544   2.16656623   0.06815494
## 765   4.475686e+00   0.002267393 -30.7319544   2.16656623   0.06815494
## 766   4.475686e+00   0.002267393 -30.7319544   2.16656623   0.06815494
## 767   4.475686e+00   0.002267393 -30.7319544   2.16656623   0.06815494
## 768   4.475686e+00   0.002267393 -30.7319544   2.16656623   0.06815494
## 769   2.372561e+00   0.174826439  -7.0205245   0.86679735  -0.34727448
## 770   2.372561e+00   0.174826439  -7.0205245   0.86679735  -0.34727448
## 771   2.372561e+00   0.174826439  -7.0205245   0.86679735  -0.34727448
## 772   2.372561e+00   0.174826439  -7.0205245   0.86679735  -0.34727448
## 773   2.372561e+00   0.174826439  -7.0205245   0.86679735  -0.34727448
## 774   2.372561e+00   0.174826439  -7.0205245   0.86679735  -0.34727448
## 775   2.372561e+00   0.174826439  -7.0205245   0.86679735  -0.34727448
## 776   2.372561e+00   0.174826439  -7.0205245   0.86679735  -0.34727448
## 777  -1.931732e+00   7.266749163  -4.7922987   0.08920055  46.73802451
## 778  -1.931732e+00   7.266749163  -4.7922987   0.08920055  46.73802451
## 779  -1.931732e+00   7.266749163  -4.7922987   0.08920055  46.73802451
## 780  -1.931732e+00   7.266749163  -4.7922987   0.08920055  46.73802451
## 781  -1.931732e+00   7.266749163  -4.7922987   0.08920055  46.73802451
## 782  -1.931732e+00   7.266749163  -4.7922987   0.08920055  46.73802451
## 783  -1.931732e+00   7.266749163  -4.7922987   0.08920055  46.73802451
## 784  -1.931732e+00   7.266749163  -4.7922987   0.08920055  46.73802451
## 785   1.960414e+00  -5.481145276   2.4521463  -1.47097066  -4.25070260
## 786   1.960414e+00  -5.481145276   2.4521463  -1.47097066  -4.25070260
## 787   1.960414e+00  -5.481145276   2.4521463  -1.47097066  -4.25070260
## 788   1.960414e+00  -5.481145276   2.4521463  -1.47097066  -4.25070260
## 789   1.960414e+00  -5.481145276   2.4521463  -1.47097066  -4.25070260
## 790   1.960414e+00  -5.481145276   2.4521463  -1.47097066  -4.25070260
## 791   1.960414e+00  -5.481145276   2.4521463  -1.47097066  -4.25070260
## 792   1.960414e+00  -5.481145276   2.4521463  -1.47097066  -4.25070260
## 793  -1.401672e-01  28.299819265   7.0600082   1.45302932   1.69612159
## 794  -1.401672e-01  28.299819265   7.0600082   1.45302932   1.69612159
## 795  -1.401672e-01  28.299819265   7.0600082   1.45302932   1.69612159
## 796  -1.401672e-01  28.299819265   7.0600082   1.45302932   1.69612159
## 797  -1.401672e-01  28.299819265   7.0600082   1.45302932   1.69612159
## 798  -1.401672e-01  28.299819265   7.0600082   1.45302932   1.69612159
## 799  -1.401672e-01  28.299819265   7.0600082   1.45302932   1.69612159
## 800  -1.401672e-01  28.299819265   7.0600082   1.45302932   1.69612159
## 801  -6.758718e-02   2.203585037  -3.3126457  -2.03898554   2.86920266
## 802  -6.758718e-02   2.203585037  -3.3126457  -2.03898554   2.86920266
## 803  -6.758718e-02   2.203585037  -3.3126457  -2.03898554   2.86920266
## 804  -6.758718e-02   2.203585037  -3.3126457  -2.03898554   2.86920266
## 805  -6.758718e-02   2.203585037  -3.3126457  -2.03898554   2.86920266
## 806  -6.758718e-02   2.203585037  -3.3126457  -2.03898554   2.86920266
## 807  -6.758718e-02   2.203585037  -3.3126457  -2.03898554   2.86920266
## 808  -6.758718e-02   2.203585037  -3.3126457  -2.03898554   2.86920266
## 809  -2.574254e+00   0.115378191   3.9456609   3.07474170   4.01243713
## 810  -2.574254e+00   0.115378191   3.9456609   3.07474170   4.01243713
## 811  -2.574254e+00   0.115378191   3.9456609   3.07474170   4.01243713
## 812  -2.574254e+00   0.115378191   3.9456609   3.07474170   4.01243713
## 813  -2.574254e+00   0.115378191   3.9456609   3.07474170   4.01243713
## 814  -2.574254e+00   0.115378191   3.9456609   3.07474170   4.01243713
## 815  -2.574254e+00   0.115378191   3.9456609   3.07474170   4.01243713
## 816  -2.574254e+00   0.115378191   3.9456609   3.07474170   4.01243713
## 817   2.254349e+00   0.298941052   0.2823851  38.45246463  -0.91265946
## 818   2.254349e+00   0.298941052   0.2823851  38.45246463  -0.91265946
## 819   2.254349e+00   0.298941052   0.2823851  38.45246463  -0.91265946
## 820   2.254349e+00   0.298941052   0.2823851  38.45246463  -0.91265946
## 821   2.254349e+00   0.298941052   0.2823851  38.45246463  -0.91265946
## 822   2.254349e+00   0.298941052   0.2823851  38.45246463  -0.91265946
## 823   2.254349e+00   0.298941052   0.2823851  38.45246463  -0.91265946
## 824   2.254349e+00   0.298941052   0.2823851  38.45246463  -0.91265946
## 825   3.532693e-01  18.095786825   1.1962868  -1.36919317   1.25246588
## 826   3.532693e-01  18.095786825   1.1962868  -1.36919317   1.25246588
## 827   3.532693e-01  18.095786825   1.1962868  -1.36919317   1.25246588
## 828   3.532693e-01  18.095786825   1.1962868  -1.36919317   1.25246588
## 829   3.532693e-01  18.095786825   1.1962868  -1.36919317   1.25246588
## 830   3.532693e-01  18.095786825   1.1962868  -1.36919317   1.25246588
## 831   3.532693e-01  18.095786825   1.1962868  -1.36919317   1.25246588
## 832   3.532693e-01  18.095786825   1.1962868  -1.36919317   1.25246588
## 833   4.974886e+00   9.711210451  -0.6638247  -4.77401196  -0.18057542
## 834   4.974886e+00   9.711210451  -0.6638247  -4.77401196  -0.18057542
## 835   4.974886e+00   9.711210451  -0.6638247  -4.77401196  -0.18057542
## 836   4.974886e+00   9.711210451  -0.6638247  -4.77401196  -0.18057542
## 837   4.974886e+00   9.711210451  -0.6638247  -4.77401196  -0.18057542
## 838   4.974886e+00   9.711210451  -0.6638247  -4.77401196  -0.18057542
## 839   4.974886e+00   9.711210451  -0.6638247  -4.77401196  -0.18057542
## 840   4.974886e+00   9.711210451  -0.6638247  -4.77401196  -0.18057542
## 841  -2.330523e+00  -3.646099928  13.5257947  -1.33293366  19.39360431
## 842  -2.330523e+00  -3.646099928  13.5257947  -1.33293366  19.39360431
## 843  -2.330523e+00  -3.646099928  13.5257947  -1.33293366  19.39360431
## 844  -2.330523e+00  -3.646099928  13.5257947  -1.33293366  19.39360431
## 845  -2.330523e+00  -3.646099928  13.5257947  -1.33293366  19.39360431
## 846  -2.330523e+00  -3.646099928  13.5257947  -1.33293366  19.39360431
## 847  -2.330523e+00  -3.646099928  13.5257947  -1.33293366  19.39360431
## 848  -2.330523e+00  -3.646099928  13.5257947  -1.33293366  19.39360431
## 849   3.890602e+00 -28.466417270   3.1140300   0.28194897   1.91918949
## 850   3.890602e+00 -28.466417270   3.1140300   0.28194897   1.91918949
## 851   3.890602e+00 -28.466417270   3.1140300   0.28194897   1.91918949
## 852   3.890602e+00 -28.466417270   3.1140300   0.28194897   1.91918949
## 853   3.890602e+00 -28.466417270   3.1140300   0.28194897   1.91918949
## 854   3.890602e+00 -28.466417270   3.1140300   0.28194897   1.91918949
## 855   3.890602e+00 -28.466417270   3.1140300   0.28194897   1.91918949
## 856   3.890602e+00 -28.466417270   3.1140300   0.28194897   1.91918949
## 857   6.069366e-01  22.389561259  -7.7779322  -1.57799088  -2.13162688
## 858   6.069366e-01  22.389561259  -7.7779322  -1.57799088  -2.13162688
## 859   6.069366e-01  22.389561259  -7.7779322  -1.57799088  -2.13162688
## 860   6.069366e-01  22.389561259  -7.7779322  -1.57799088  -2.13162688
## 861   6.069366e-01  22.389561259  -7.7779322  -1.57799088  -2.13162688
## 862   6.069366e-01  22.389561259  -7.7779322  -1.57799088  -2.13162688
## 863   6.069366e-01  22.389561259  -7.7779322  -1.57799088  -2.13162688
## 864   6.069366e-01  22.389561259  -7.7779322  -1.57799088  -2.13162688
## 865  -1.656518e+02  -0.243198348   3.7150890   0.55755432   2.85937818
## 866  -1.656518e+02  -0.243198348   3.7150890   0.55755432   2.85937818
## 867  -1.656518e+02  -0.243198348   3.7150890   0.55755432   2.85937818
## 868  -1.656518e+02  -0.243198348   3.7150890   0.55755432   2.85937818
## 869  -1.656518e+02  -0.243198348   3.7150890   0.55755432   2.85937818
## 870  -1.656518e+02  -0.243198348   3.7150890   0.55755432   2.85937818
## 871  -1.656518e+02  -0.243198348   3.7150890   0.55755432   2.85937818
## 872  -1.656518e+02  -0.243198348   3.7150890   0.55755432   2.85937818
## 873   3.115846e+00  -0.978007884   5.5587436  -1.75097752   2.11754643
## 874   3.115846e+00  -0.978007884   5.5587436  -1.75097752   2.11754643
## 875   3.115846e+00  -0.978007884   5.5587436  -1.75097752   2.11754643
## 876   3.115846e+00  -0.978007884   5.5587436  -1.75097752   2.11754643
## 877   3.115846e+00  -0.978007884   5.5587436  -1.75097752   2.11754643
## 878   3.115846e+00  -0.978007884   5.5587436  -1.75097752   2.11754643
## 879   3.115846e+00  -0.978007884   5.5587436  -1.75097752   2.11754643
## 880   3.115846e+00  -0.978007884   5.5587436  -1.75097752   2.11754643
## 881   2.552198e+00   3.011703174   5.7886360  39.94212846   2.36508976
## 882   2.552198e+00   3.011703174   5.7886360  39.94212846   2.36508976
## 883   2.552198e+00   3.011703174   5.7886360  39.94212846   2.36508976
## 884   2.552198e+00   3.011703174   5.7886360  39.94212846   2.36508976
## 885   2.552198e+00   3.011703174   5.7886360  39.94212846   2.36508976
## 886   2.552198e+00   3.011703174   5.7886360  39.94212846   2.36508976
## 887   2.552198e+00   3.011703174   5.7886360  39.94212846   2.36508976
## 888   2.552198e+00   3.011703174   5.7886360  39.94212846   2.36508976
## 889   3.530394e+00   5.147268952  -0.4270505   1.75561025   8.45445575
## 890   3.530394e+00   5.147268952  -0.4270505   1.75561025   8.45445575
## 891   3.530394e+00   5.147268952  -0.4270505   1.75561025   8.45445575
## 892   3.530394e+00   5.147268952  -0.4270505   1.75561025   8.45445575
## 893   3.530394e+00   5.147268952  -0.4270505   1.75561025   8.45445575
## 894   3.530394e+00   5.147268952  -0.4270505   1.75561025   8.45445575
## 895   3.530394e+00   5.147268952  -0.4270505   1.75561025   8.45445575
## 896   3.530394e+00   5.147268952  -0.4270505   1.75561025   8.45445575
## 897  -1.124955e+01  -4.175079738  -1.7536124  -3.31377486   2.37133879
## 898  -1.124955e+01  -4.175079738  -1.7536124  -3.31377486   2.37133879
## 899  -1.124955e+01  -4.175079738  -1.7536124  -3.31377486   2.37133879
## 900  -1.124955e+01  -4.175079738  -1.7536124  -3.31377486   2.37133879
## 901  -1.124955e+01  -4.175079738  -1.7536124  -3.31377486   2.37133879
## 902  -1.124955e+01  -4.175079738  -1.7536124  -3.31377486   2.37133879
## 903  -1.124955e+01  -4.175079738  -1.7536124  -3.31377486   2.37133879
## 904  -1.124955e+01  -4.175079738  -1.7536124  -3.31377486   2.37133879
## 905   4.589566e-01  -8.671753507  27.3785079  -2.12988083   4.95210473
## 906   4.589566e-01  -8.671753507  27.3785079  -2.12988083   4.95210473
## 907   4.589566e-01  -8.671753507  27.3785079  -2.12988083   4.95210473
## 908   4.589566e-01  -8.671753507  27.3785079  -2.12988083   4.95210473
## 909   4.589566e-01  -8.671753507  27.3785079  -2.12988083   4.95210473
## 910   4.589566e-01  -8.671753507  27.3785079  -2.12988083   4.95210473
## 911   4.589566e-01  -8.671753507  27.3785079  -2.12988083   4.95210473
## 912   4.589566e-01  -8.671753507  27.3785079  -2.12988083   4.95210473
## 913  -7.449446e+01   5.160418302   1.9107921   0.67150275   2.93959779
## 914  -7.449446e+01   5.160418302   1.9107921   0.67150275   2.93959779
## 915  -7.449446e+01   5.160418302   1.9107921   0.67150275   2.93959779
## 916  -7.449446e+01   5.160418302   1.9107921   0.67150275   2.93959779
## 917  -7.449446e+01   5.160418302   1.9107921   0.67150275   2.93959779
## 918   4.686406e+00   0.399567783   0.1777268  13.09308517  -1.35605314
## 919   4.686406e+00   0.399567783   0.1777268  13.09308517  -1.35605314
## 920   4.686406e+00   0.399567783   0.1777268  13.09308517  -1.35605314
## 921   4.686406e+00   0.399567783   0.1777268  13.09308517  -1.35605314
## 922   4.686406e+00   0.399567783   0.1777268  13.09308517  -1.35605314
## 923             NA            NA          NA           NA           NA
## 924             NA            NA          NA           NA           NA
## 925             NA            NA          NA           NA           NA
## 926             NA            NA          NA           NA           NA
## 927             NA            NA          NA           NA           NA
## 928             NA            NA          NA           NA           NA
## 929             NA            NA          NA           NA           NA
## 930             NA            NA          NA           NA           NA
## 931             NA            NA          NA           NA           NA
## 932             NA            NA          NA           NA           NA
## 933             NA            NA          NA           NA           NA
## 934             NA            NA          NA           NA           NA
## 935             NA            NA          NA           NA           NA
## 936             NA            NA          NA           NA           NA
## 937             NA            NA          NA           NA           NA
## 938   1.107025e+00   2.079798439   7.1772287   0.46747849  10.92990325
## 939   1.107025e+00   2.079798439   7.1772287   0.46747849  10.92990325
## 940   1.107025e+00   2.079798439   7.1772287   0.46747849  10.92990325
## 941   1.107025e+00   2.079798439   7.1772287   0.46747849  10.92990325
## 942   1.107025e+00   2.079798439   7.1772287   0.46747849  10.92990325
## 943             NA            NA          NA           NA           NA
## 944             NA            NA          NA           NA           NA
## 945             NA            NA          NA           NA           NA
## 946             NA            NA          NA           NA           NA
## 947             NA            NA          NA           NA           NA
## 948             NA            NA          NA           NA           NA
## 949             NA            NA          NA           NA           NA
## 950             NA            NA          NA           NA           NA
## 951             NA            NA          NA           NA           NA
## 952             NA            NA          NA           NA           NA
## 953   9.554202e+00  -5.533918994   6.5380428   0.61764400 -10.59605892
## 954   9.554202e+00  -5.533918994   6.5380428   0.61764400 -10.59605892
## 955   9.554202e+00  -5.533918994   6.5380428   0.61764400 -10.59605892
## 956   9.554202e+00  -5.533918994   6.5380428   0.61764400 -10.59605892
## 957   9.554202e+00  -5.533918994   6.5380428   0.61764400 -10.59605892
## 958   2.698285e+00   2.499815735   0.5138341 -97.59618170  -2.01503863
## 959   2.698285e+00   2.499815735   0.5138341 -97.59618170  -2.01503863
## 960   2.698285e+00   2.499815735   0.5138341 -97.59618170  -2.01503863
## 961   2.698285e+00   2.499815735   0.5138341 -97.59618170  -2.01503863
## 962   2.698285e+00   2.499815735   0.5138341 -97.59618170  -2.01503863
## 963             NA            NA          NA           NA           NA
## 964             NA            NA          NA           NA           NA
## 965             NA            NA          NA           NA           NA
## 966             NA            NA          NA           NA           NA
## 967             NA            NA          NA           NA           NA
## 968             NA            NA          NA           NA           NA
## 969             NA            NA          NA           NA           NA
## 970             NA            NA          NA           NA           NA
## 971             NA            NA          NA           NA           NA
## 972             NA            NA          NA           NA           NA
## 973   2.638214e+01   4.979486913  10.3509727  -0.38019304  -4.32785980
## 974   2.638214e+01   4.979486913  10.3509727  -0.38019304  -4.32785980
## 975   2.638214e+01   4.979486913  10.3509727  -0.38019304  -4.32785980
## 976   2.638214e+01   4.979486913  10.3509727  -0.38019304  -4.32785980
## 977   2.638214e+01   4.979486913  10.3509727  -0.38019304  -4.32785980
## 978   8.145007e+00   8.217688975   0.7490669  -1.33575619  -7.05646040
## 979   8.145007e+00   8.217688975   0.7490669  -1.33575619  -7.05646040
## 980   8.145007e+00   8.217688975   0.7490669  -1.33575619  -7.05646040
## 981   8.145007e+00   8.217688975   0.7490669  -1.33575619  -7.05646040
## 982   8.145007e+00   8.217688975   0.7490669  -1.33575619  -7.05646040
## 983             NA            NA          NA           NA           NA
## 984             NA            NA          NA           NA           NA
## 985             NA            NA          NA           NA           NA
## 986             NA            NA          NA           NA           NA
## 987             NA            NA          NA           NA           NA
## 988             NA            NA          NA           NA           NA
## 989             NA            NA          NA           NA           NA
## 990             NA            NA          NA           NA           NA
## 991             NA            NA          NA           NA           NA
## 992             NA            NA          NA           NA           NA
## 993   2.387886e+01  -1.745105794   4.7673608  -1.22647676   2.23492145
## 994   2.387886e+01  -1.745105794   4.7673608  -1.22647676   2.23492145
## 995   2.387886e+01  -1.745105794   4.7673608  -1.22647676   2.23492145
## 996   2.387886e+01  -1.745105794   4.7673608  -1.22647676   2.23492145
## 997   2.387886e+01  -1.745105794   4.7673608  -1.22647676   2.23492145
## 998             NA            NA          NA           NA           NA
## 999             NA            NA          NA           NA           NA
## 1000            NA            NA          NA           NA           NA
## 1001            NA            NA          NA           NA           NA
## 1002            NA            NA          NA           NA           NA
## 1003            NA            NA          NA           NA           NA
## 1004            NA            NA          NA           NA           NA
## 1005            NA            NA          NA           NA           NA
## 1006            NA            NA          NA           NA           NA
## 1007            NA            NA          NA           NA           NA
## 1008  1.112992e+01  17.960728880   6.3295308   7.13558915  -4.38020710
## 1009  1.112992e+01  17.960728880   6.3295308   7.13558915  -4.38020710
## 1010  1.112992e+01  17.960728880   6.3295308   7.13558915  -4.38020710
## 1011  1.112992e+01  17.960728880   6.3295308   7.13558915  -4.38020710
## 1012  1.112992e+01  17.960728880   6.3295308   7.13558915  -4.38020710
## 1013  3.061950e+01   4.738589895   2.9131390   1.05282104  -2.49621843
## 1014  3.061950e+01   4.738589895   2.9131390   1.05282104  -2.49621843
## 1015  3.061950e+01   4.738589895   2.9131390   1.05282104  -2.49621843
## 1016  3.061950e+01   4.738589895   2.9131390   1.05282104  -2.49621843
## 1017  3.061950e+01   4.738589895   2.9131390   1.05282104  -2.49621843
## 1018  9.943656e+00  -6.319282750   7.4759726  -0.43926019   4.62320108
## 1019  9.943656e+00  -6.319282750   7.4759726  -0.43926019   4.62320108
## 1020  9.943656e+00  -6.319282750   7.4759726  -0.43926019   4.62320108
## 1021  9.943656e+00  -6.319282750   7.4759726  -0.43926019   4.62320108
## 1022  9.943656e+00  -6.319282750   7.4759726  -0.43926019   4.62320108
## 1023            NA            NA          NA           NA           NA
## 1024            NA            NA          NA           NA           NA
## 1025            NA            NA          NA           NA           NA
## 1026            NA            NA          NA           NA           NA
## 1027            NA            NA          NA           NA           NA
## 1028            NA            NA          NA           NA           NA
## 1029            NA            NA          NA           NA           NA
## 1030            NA            NA          NA           NA           NA
## 1031            NA            NA          NA           NA           NA
## 1032            NA            NA          NA           NA           NA
## 1033  8.519275e+00  -1.873142596 -18.4441463   0.90039486  -6.22076552
## 1034  8.519275e+00  -1.873142596 -18.4441463   0.90039486  -6.22076552
## 1035  8.519275e+00  -1.873142596 -18.4441463   0.90039486  -6.22076552
## 1036  8.519275e+00  -1.873142596 -18.4441463   0.90039486  -6.22076552
## 1037  8.519275e+00  -1.873142596 -18.4441463   0.90039486  -6.22076552
## 1038            NA            NA          NA           NA           NA
## 1039            NA            NA          NA           NA           NA
## 1040            NA            NA          NA           NA           NA
## 1041            NA            NA          NA           NA           NA
## 1042            NA            NA          NA           NA           NA
## 1043            NA            NA          NA           NA           NA
## 1044            NA            NA          NA           NA           NA
## 1045            NA            NA          NA           NA           NA
## 1046            NA            NA          NA           NA           NA
## 1047            NA            NA          NA           NA           NA
## 1048            NA            NA          NA           NA           NA
## 1049            NA            NA          NA           NA           NA
## 1050            NA            NA          NA           NA           NA
## 1051            NA            NA          NA           NA           NA
## 1052            NA            NA          NA           NA           NA
## 1053            NA            NA          NA           NA           NA
## 1054            NA            NA          NA           NA           NA
## 1055            NA            NA          NA           NA           NA
## 1056            NA            NA          NA           NA           NA
## 1057            NA            NA          NA           NA           NA
## 1058            NA            NA          NA           NA           NA
## 1059            NA            NA          NA           NA           NA
## 1060            NA            NA          NA           NA           NA
## 1061            NA            NA          NA           NA           NA
## 1062            NA            NA          NA           NA           NA
## 1063            NA            NA          NA           NA           NA
## 1064            NA            NA          NA           NA           NA
## 1065            NA            NA          NA           NA           NA
## 1066            NA            NA          NA           NA           NA
## 1067            NA            NA          NA           NA           NA
## 1068  1.911187e+01 -17.394243989  -1.5639550   2.80843825  -6.10704425
## 1069  1.911187e+01 -17.394243989  -1.5639550   2.80843825  -6.10704425
## 1070  1.911187e+01 -17.394243989  -1.5639550   2.80843825  -6.10704425
## 1071  1.911187e+01 -17.394243989  -1.5639550   2.80843825  -6.10704425
## 1072  1.911187e+01 -17.394243989  -1.5639550   2.80843825  -6.10704425
## 1073  1.177558e+01  23.083429466   3.2095571   1.11927310  24.03571467
## 1074  1.177558e+01  23.083429466   3.2095571   1.11927310  24.03571467
## 1075  1.177558e+01  23.083429466   3.2095571   1.11927310  24.03571467
## 1076  1.177558e+01  23.083429466   3.2095571   1.11927310  24.03571467
## 1077  1.177558e+01  23.083429466   3.2095571   1.11927310  24.03571467
## 1078            NA            NA          NA           NA           NA
## 1079            NA            NA          NA           NA           NA
## 1080            NA            NA          NA           NA           NA
## 1081            NA            NA          NA           NA           NA
## 1082            NA            NA          NA           NA           NA
## 1083  5.042677e+00   1.988580155   3.8874185   0.32103125 -80.74828761
## 1084  5.042677e+00   1.988580155   3.8874185   0.32103125 -80.74828761
## 1085  5.042677e+00   1.988580155   3.8874185   0.32103125 -80.74828761
## 1086  5.042677e+00   1.988580155   3.8874185   0.32103125 -80.74828761
## 1087  5.042677e+00   1.988580155   3.8874185   0.32103125 -80.74828761
## 1088            NA            NA          NA           NA           NA
## 1089            NA            NA          NA           NA           NA
## 1090            NA            NA          NA           NA           NA
## 1091            NA            NA          NA           NA           NA
## 1092            NA            NA          NA           NA           NA
## 1093  8.913680e+00   2.802373275 -18.2303909   5.62516041 -10.09532711
## 1094  8.913680e+00   2.802373275 -18.2303909   5.62516041 -10.09532711
## 1095  8.913680e+00   2.802373275 -18.2303909   5.62516041 -10.09532711
## 1096  8.913680e+00   2.802373275 -18.2303909   5.62516041 -10.09532711
## 1097  8.913680e+00   2.802373275 -18.2303909   5.62516041 -10.09532711
## 1098            NA            NA          NA           NA           NA
## 1099            NA            NA          NA           NA           NA
## 1100            NA            NA          NA           NA           NA
## 1101            NA            NA          NA           NA           NA
## 1102            NA            NA          NA           NA           NA
## 1103  7.539457e+00   0.022097892   1.5245844   0.08972360  -3.82142843
## 1104  7.539457e+00   0.022097892   1.5245844   0.08972360  -3.82142843
## 1105  7.539457e+00   0.022097892   1.5245844   0.08972360  -3.82142843
## 1106  7.539457e+00   0.022097892   1.5245844   0.08972360  -3.82142843
## 1107  7.539457e+00   0.022097892   1.5245844   0.08972360  -3.82142843
## 1108            NA            NA          NA           NA           NA
## 1109            NA            NA          NA           NA           NA
## 1110            NA            NA          NA           NA           NA
## 1111            NA            NA          NA           NA           NA
## 1112            NA            NA          NA           NA           NA
## 1113  1.361364e+01   2.333476531 -27.0467364   5.61008146  18.84871066
## 1114  1.361364e+01   2.333476531 -27.0467364   5.61008146  18.84871066
## 1115  1.361364e+01   2.333476531 -27.0467364   5.61008146  18.84871066
## 1116  1.361364e+01   2.333476531 -27.0467364   5.61008146  18.84871066
## 1117  1.361364e+01   2.333476531 -27.0467364   5.61008146  18.84871066
## 1118  1.875244e+01  -5.136617058 -29.1468845  -0.36997139  18.53953803
## 1119  1.875244e+01  -5.136617058 -29.1468845  -0.36997139  18.53953803
## 1120  1.875244e+01  -5.136617058 -29.1468845  -0.36997139  18.53953803
## 1121  1.875244e+01  -5.136617058 -29.1468845  -0.36997139  18.53953803
## 1122  1.875244e+01  -5.136617058 -29.1468845  -0.36997139  18.53953803
## 1123  7.077119e+00  -5.107692981 -82.4183330   1.57822408  -6.41740231
## 1124  7.077119e+00  -5.107692981 -82.4183330   1.57822408  -6.41740231
## 1125  7.077119e+00  -5.107692981 -82.4183330   1.57822408  -6.41740231
## 1126  7.077119e+00  -5.107692981 -82.4183330   1.57822408  -6.41740231
## 1127  7.077119e+00  -5.107692981 -82.4183330   1.57822408  -6.41740231
## 1128            NA            NA          NA           NA           NA
## 1129            NA            NA          NA           NA           NA
## 1130            NA            NA          NA           NA           NA
## 1131            NA            NA          NA           NA           NA
## 1132            NA            NA          NA           NA           NA
## 1133  1.898667e+01  -6.796504922  12.0212320   2.63567047   5.01472432
## 1134  1.898667e+01  -6.796504922  12.0212320   2.63567047   5.01472432
## 1135  1.898667e+01  -6.796504922  12.0212320   2.63567047   5.01472432
## 1136  1.898667e+01  -6.796504922  12.0212320   2.63567047   5.01472432
## 1137  1.898667e+01  -6.796504922  12.0212320   2.63567047   5.01472432
## 1138            NA            NA          NA           NA           NA
## 1139            NA            NA          NA           NA           NA
## 1140            NA            NA          NA           NA           NA
## 1141            NA            NA          NA           NA           NA
## 1142            NA            NA          NA           NA           NA
## 1143  3.175014e+01 -25.040994528  11.3452216   0.63697597   4.62125081
## 1144  3.175014e+01 -25.040994528  11.3452216   0.63697597   4.62125081
## 1145  3.175014e+01 -25.040994528  11.3452216   0.63697597   4.62125081
## 1146  3.175014e+01 -25.040994528  11.3452216   0.63697597   4.62125081
## 1147  3.175014e+01 -25.040994528  11.3452216   0.63697597   4.62125081
## 1148            NA            NA          NA           NA           NA
## 1149            NA            NA          NA           NA           NA
## 1150            NA            NA          NA           NA           NA
## 1151            NA            NA          NA           NA           NA
## 1152            NA            NA          NA           NA           NA
## 1153  7.808578e+00  -3.340598438  15.0364905   0.72743691   9.49309911
## 1154  7.808578e+00  -3.340598438  15.0364905   0.72743691   9.49309911
## 1155  7.808578e+00  -3.340598438  15.0364905   0.72743691   9.49309911
## 1156  7.808578e+00  -3.340598438  15.0364905   0.72743691   9.49309911
## 1157  7.808578e+00  -3.340598438  15.0364905   0.72743691   9.49309911
## 1158  1.019795e+01   8.957761070  22.2010160   2.36109361 -27.33889887
## 1159  1.019795e+01   8.957761070  22.2010160   2.36109361 -27.33889887
## 1160  1.019795e+01   8.957761070  22.2010160   2.36109361 -27.33889887
## 1161  1.019795e+01   8.957761070  22.2010160   2.36109361 -27.33889887
## 1162  1.019795e+01   8.957761070  22.2010160   2.36109361 -27.33889887
## 1163            NA            NA          NA           NA           NA
## 1164            NA            NA          NA           NA           NA
## 1165            NA            NA          NA           NA           NA
## 1166            NA            NA          NA           NA           NA
## 1167            NA            NA          NA           NA           NA
## 1168            NA            NA          NA           NA           NA
## 1169            NA            NA          NA           NA           NA
## 1170            NA            NA          NA           NA           NA
## 1171            NA            NA          NA           NA           NA
## 1172            NA            NA          NA           NA           NA
## 1173            NA            NA          NA           NA           NA
## 1174            NA            NA          NA           NA           NA
## 1175            NA            NA          NA           NA           NA
## 1176            NA            NA          NA           NA           NA
## 1177            NA            NA          NA           NA           NA
## 1178            NA            NA          NA           NA           NA
## 1179            NA            NA          NA           NA           NA
## 1180            NA            NA          NA           NA           NA
## 1181            NA            NA          NA           NA           NA
## 1182            NA            NA          NA           NA           NA
## 1183            NA            NA          NA           NA           NA
## 1184            NA            NA          NA           NA           NA
## 1185            NA            NA          NA           NA           NA
## 1186            NA            NA          NA           NA           NA
## 1187            NA            NA          NA           NA           NA
## 1188  1.594728e+01   2.126621525 -30.3246226  -4.85105002  24.51604708
## 1189  1.594728e+01   2.126621525 -30.3246226  -4.85105002  24.51604708
## 1190  1.594728e+01   2.126621525 -30.3246226  -4.85105002  24.51604708
## 1191  1.594728e+01   2.126621525 -30.3246226  -4.85105002  24.51604708
## 1192  1.594728e+01   2.126621525 -30.3246226  -4.85105002  24.51604708
## 1193  1.770695e+01  -6.900840483   8.1085740   1.72910052  21.18659472
## 1194  1.770695e+01  -6.900840483   8.1085740   1.72910052  21.18659472
## 1195  1.770695e+01  -6.900840483   8.1085740   1.72910052  21.18659472
## 1196  1.770695e+01  -6.900840483   8.1085740   1.72910052  21.18659472
## 1197  1.770695e+01  -6.900840483   8.1085740   1.72910052  21.18659472
## 1198  1.453863e+01  -0.962017108  10.4375834   4.74390027  53.96518337
## 1199  1.453863e+01  -0.962017108  10.4375834   4.74390027  53.96518337
## 1200  1.453863e+01  -0.962017108  10.4375834   4.74390027  53.96518337
## 1201  1.453863e+01  -0.962017108  10.4375834   4.74390027  53.96518337
## 1202  1.453863e+01  -0.962017108  10.4375834   4.74390027  53.96518337
## 1203  8.061323e+00  -6.122458652   4.1813509   0.10405813  -0.65557250
## 1204  8.061323e+00  -6.122458652   4.1813509   0.10405813  -0.65557250
## 1205  8.061323e+00  -6.122458652   4.1813509   0.10405813  -0.65557250
## 1206  8.061323e+00  -6.122458652   4.1813509   0.10405813  -0.65557250
## 1207  8.061323e+00  -6.122458652   4.1813509   0.10405813  -0.65557250
## 1208            NA            NA          NA           NA           NA
## 1209            NA            NA          NA           NA           NA
## 1210            NA            NA          NA           NA           NA
## 1211            NA            NA          NA           NA           NA
## 1212            NA            NA          NA           NA           NA
## 1213  7.060671e+00  -7.179313342 -23.6488506  -0.12583025 -30.32723385
## 1214  7.060671e+00  -7.179313342 -23.6488506  -0.12583025 -30.32723385
## 1215  7.060671e+00  -7.179313342 -23.6488506  -0.12583025 -30.32723385
## 1216  7.060671e+00  -7.179313342 -23.6488506  -0.12583025 -30.32723385
## 1217  7.060671e+00  -7.179313342 -23.6488506  -0.12583025 -30.32723385
## 1218 -1.994351e-01  -3.301608854 -33.2887638  -1.72706577  17.81158678
## 1219 -1.994351e-01  -3.301608854 -33.2887638  -1.72706577  17.81158678
## 1220 -1.994351e-01  -3.301608854 -33.2887638  -1.72706577  17.81158678
## 1221 -1.994351e-01  -3.301608854 -33.2887638  -1.72706577  17.81158678
## 1222 -1.994351e-01  -3.301608854 -33.2887638  -1.72706577  17.81158678
## 1223            NA            NA          NA           NA           NA
## 1224            NA            NA          NA           NA           NA
## 1225            NA            NA          NA           NA           NA
## 1226            NA            NA          NA           NA           NA
## 1227            NA            NA          NA           NA           NA
## 1228            NA            NA          NA           NA           NA
## 1229            NA            NA          NA           NA           NA
## 1230            NA            NA          NA           NA           NA
## 1231            NA            NA          NA           NA           NA
## 1232            NA            NA          NA           NA           NA
## 1233            NA            NA          NA           NA           NA
## 1234            NA            NA          NA           NA           NA
## 1235            NA            NA          NA           NA           NA
## 1236            NA            NA          NA           NA           NA
## 1237            NA            NA          NA           NA           NA
## 1238  1.516139e+01 -30.445741226 -16.9847218   0.28996631 -10.57760705
## 1239  1.516139e+01 -30.445741226 -16.9847218   0.28996631 -10.57760705
## 1240  1.516139e+01 -30.445741226 -16.9847218   0.28996631 -10.57760705
## 1241  1.516139e+01 -30.445741226 -16.9847218   0.28996631 -10.57760705
## 1242  1.516139e+01 -30.445741226 -16.9847218   0.28996631 -10.57760705
## 1243  2.993269e+01  -2.509039195  -4.6869339   1.09777177  -2.10149725
## 1244  2.993269e+01  -2.509039195  -4.6869339   1.09777177  -2.10149725
## 1245  2.993269e+01  -2.509039195  -4.6869339   1.09777177  -2.10149725
## 1246  2.993269e+01  -2.509039195  -4.6869339   1.09777177  -2.10149725
## 1247  2.993269e+01  -2.509039195  -4.6869339   1.09777177  -2.10149725
## 1248            NA            NA          NA           NA           NA
## 1249            NA            NA          NA           NA           NA
## 1250            NA            NA          NA           NA           NA
## 1251            NA            NA          NA           NA           NA
## 1252            NA            NA          NA           NA           NA
## 1253            NA            NA          NA           NA           NA
## 1254            NA            NA          NA           NA           NA
## 1255            NA            NA          NA           NA           NA
## 1256            NA            NA          NA           NA           NA
## 1257            NA            NA          NA           NA           NA
## 1258            NA            NA          NA           NA           NA
## 1259            NA            NA          NA           NA           NA
## 1260            NA            NA          NA           NA           NA
## 1261            NA            NA          NA           NA           NA
## 1262            NA            NA          NA           NA           NA
## 1263  1.425435e+01   3.084376213  12.2133377   0.48287983   2.39208455
## 1264  1.425435e+01   3.084376213  12.2133377   0.48287983   2.39208455
## 1265  1.425435e+01   3.084376213  12.2133377   0.48287983   2.39208455
## 1266  1.425435e+01   3.084376213  12.2133377   0.48287983   2.39208455
## 1267  1.425435e+01   3.084376213  12.2133377   0.48287983   2.39208455
## 1268  1.211245e+00   3.459567575  -3.3784499   3.12181832   0.33995162
## 1269  1.211245e+00   3.459567575  -3.3784499   3.12181832   0.33995162
## 1270  1.211245e+00   3.459567575  -3.3784499   3.12181832   0.33995162
## 1271  1.211245e+00   3.459567575  -3.3784499   3.12181832   0.33995162
## 1272  1.211245e+00   3.459567575  -3.3784499   3.12181832   0.33995162
## 1273  3.068960e+01   5.255389541   1.9429521  -1.68945780  -1.74857786
## 1274  3.068960e+01   5.255389541   1.9429521  -1.68945780  -1.74857786
## 1275  3.068960e+01   5.255389541   1.9429521  -1.68945780  -1.74857786
## 1276  3.068960e+01   5.255389541   1.9429521  -1.68945780  -1.74857786
## 1277  3.068960e+01   5.255389541   1.9429521  -1.68945780  -1.74857786
## 1278 -1.927106e+00   2.864094422   5.8246707   7.05349836   5.53830703
## 1279 -1.927106e+00   2.864094422   5.8246707   7.05349836   5.53830703
## 1280 -1.927106e+00   2.864094422   5.8246707   7.05349836   5.53830703
## 1281 -1.927106e+00   2.864094422   5.8246707   7.05349836   5.53830703
## 1282 -1.927106e+00   2.864094422   5.8246707   7.05349836   5.53830703
## 1283  1.437487e+01  13.709646976  -2.8170134   0.93491604 -10.45924497
## 1284  1.437487e+01  13.709646976  -2.8170134   0.93491604 -10.45924497
## 1285  1.437487e+01  13.709646976  -2.8170134   0.93491604 -10.45924497
## 1286  1.437487e+01  13.709646976  -2.8170134   0.93491604 -10.45924497
## 1287  1.437487e+01  13.709646976  -2.8170134   0.93491604 -10.45924497
## 1288            NA            NA          NA           NA           NA
## 1289            NA            NA          NA           NA           NA
## 1290            NA            NA          NA           NA           NA
## 1291            NA            NA          NA           NA           NA
## 1292            NA            NA          NA           NA           NA
## 1293            NA            NA          NA           NA           NA
## 1294            NA            NA          NA           NA           NA
## 1295            NA            NA          NA           NA           NA
## 1296            NA            NA          NA           NA           NA
## 1297            NA            NA          NA           NA           NA
## 1298  2.678622e+00   2.579885139   3.7746005 -13.47384770   7.27387803
## 1299  2.678622e+00   2.579885139   3.7746005 -13.47384770   7.27387803
## 1300  2.678622e+00   2.579885139   3.7746005 -13.47384770   7.27387803
## 1301  2.678622e+00   2.579885139   3.7746005 -13.47384770   7.27387803
## 1302  2.678622e+00   2.579885139   3.7746005 -13.47384770   7.27387803
## 1303            NA            NA          NA           NA           NA
## 1304            NA            NA          NA           NA           NA
## 1305            NA            NA          NA           NA           NA
## 1306            NA            NA          NA           NA           NA
## 1307            NA            NA          NA           NA           NA
## 1308            NA            NA          NA           NA           NA
## 1309            NA            NA          NA           NA           NA
## 1310            NA            NA          NA           NA           NA
## 1311            NA            NA          NA           NA           NA
## 1312            NA            NA          NA           NA           NA
## 1313  1.793111e+01  12.092555656   0.7817143   0.24264245   2.89432605
## 1314  1.793111e+01  12.092555656   0.7817143   0.24264245   2.89432605
## 1315  1.793111e+01  12.092555656   0.7817143   0.24264245   2.89432605
## 1316  1.793111e+01  12.092555656   0.7817143   0.24264245   2.89432605
## 1317  1.793111e+01  12.092555656   0.7817143   0.24264245   2.89432605
## 1318            NA            NA          NA           NA           NA
## 1319            NA            NA          NA           NA           NA
## 1320            NA            NA          NA           NA           NA
## 1321            NA            NA          NA           NA           NA
## 1322            NA            NA          NA           NA           NA
## 1323            NA            NA          NA           NA           NA
## 1324            NA            NA          NA           NA           NA
## 1325            NA            NA          NA           NA           NA
## 1326            NA            NA          NA           NA           NA
## 1327            NA            NA          NA           NA           NA
## 1328            NA            NA          NA           NA           NA
## 1329            NA            NA          NA           NA           NA
## 1330            NA            NA          NA           NA           NA
## 1331            NA            NA          NA           NA           NA
## 1332            NA            NA          NA           NA           NA
## 1333            NA            NA          NA           NA           NA
## 1334            NA            NA          NA           NA           NA
## 1335            NA            NA          NA           NA           NA
## 1336            NA            NA          NA           NA           NA
## 1337            NA            NA          NA           NA           NA
## 1338            NA            NA          NA           NA           NA
## 1339            NA            NA          NA           NA           NA
## 1340            NA            NA          NA           NA           NA
## 1341            NA            NA          NA           NA           NA
## 1342            NA            NA          NA           NA           NA
## 1343            NA            NA          NA           NA           NA
## 1344            NA            NA          NA           NA           NA
## 1345            NA            NA          NA           NA           NA
## 1346            NA            NA          NA           NA           NA
## 1347            NA            NA          NA           NA           NA
## 1348            NA            NA          NA           NA           NA
## 1349            NA            NA          NA           NA           NA
## 1350            NA            NA          NA           NA           NA
## 1351            NA            NA          NA           NA           NA
## 1352            NA            NA          NA           NA           NA
## 1353            NA            NA          NA           NA           NA
## 1354            NA            NA          NA           NA           NA
## 1355            NA            NA          NA           NA           NA
## 1356            NA            NA          NA           NA           NA
## 1357            NA            NA          NA           NA           NA
## 1358            NA            NA          NA           NA           NA
## 1359            NA            NA          NA           NA           NA
## 1360            NA            NA          NA           NA           NA
## 1361            NA            NA          NA           NA           NA
## 1362            NA            NA          NA           NA           NA
## 1363  2.594512e-01  -3.909175180   7.2761725  86.20358242  -3.23919293
## 1364  2.594512e-01  -3.909175180   7.2761725  86.20358242  -3.23919293
## 1365  2.594512e-01  -3.909175180   7.2761725  86.20358242  -3.23919293
## 1366  2.594512e-01  -3.909175180   7.2761725  86.20358242  -3.23919293
## 1367  2.594512e-01  -3.909175180   7.2761725  86.20358242  -3.23919293
## 1368            NA            NA          NA           NA           NA
## 1369            NA            NA          NA           NA           NA
## 1370            NA            NA          NA           NA           NA
## 1371            NA            NA          NA           NA           NA
## 1372            NA            NA          NA           NA           NA
## 1373            NA            NA          NA           NA           NA
## 1374            NA            NA          NA           NA           NA
## 1375            NA            NA          NA           NA           NA
## 1376            NA            NA          NA           NA           NA
## 1377            NA            NA          NA           NA           NA
## 1378  3.323804e+00  -1.034959436   7.4386963   2.53370648  -3.71062325
## 1379  3.323804e+00  -1.034959436   7.4386963   2.53370648  -3.71062325
## 1380  3.323804e+00  -1.034959436   7.4386963   2.53370648  -3.71062325
## 1381  3.323804e+00  -1.034959436   7.4386963   2.53370648  -3.71062325
## 1382  3.323804e+00  -1.034959436   7.4386963   2.53370648  -3.71062325
## 1383            NA            NA          NA           NA           NA
## 1384            NA            NA          NA           NA           NA
## 1385            NA            NA          NA           NA           NA
## 1386            NA            NA          NA           NA           NA
## 1387            NA            NA          NA           NA           NA
## 1388  4.404516e+00  -2.055650195  -5.0040847  -0.01571494   4.01755062
## 1389  4.404516e+00  -2.055650195  -5.0040847  -0.01571494   4.01755062
## 1390  4.404516e+00  -2.055650195  -5.0040847  -0.01571494   4.01755062
## 1391  4.404516e+00  -2.055650195  -5.0040847  -0.01571494   4.01755062
## 1392  4.404516e+00  -2.055650195  -5.0040847  -0.01571494   4.01755062
## 1393            NA            NA          NA           NA           NA
## 1394            NA            NA          NA           NA           NA
## 1395            NA            NA          NA           NA           NA
## 1396            NA            NA          NA           NA           NA
## 1397            NA            NA          NA           NA           NA
## 1398            NA            NA          NA           NA           NA
## 1399            NA            NA          NA           NA           NA
## 1400            NA            NA          NA           NA           NA
## 1401            NA            NA          NA           NA           NA
## 1402            NA            NA          NA           NA           NA
## 1403            NA            NA          NA           NA           NA
## 1404            NA            NA          NA           NA           NA
## 1405            NA            NA          NA           NA           NA
## 1406            NA            NA          NA           NA           NA
## 1407            NA            NA          NA           NA           NA
## 1408            NA            NA          NA           NA           NA
## 1409            NA            NA          NA           NA           NA
## 1410            NA            NA          NA           NA           NA
## 1411            NA            NA          NA           NA           NA
## 1412            NA            NA          NA           NA           NA
## 1413  1.443004e+01  -6.810750489  38.5814181   1.01978299   8.70555125
## 1414  1.443004e+01  -6.810750489  38.5814181   1.01978299   8.70555125
## 1415  1.443004e+01  -6.810750489  38.5814181   1.01978299   8.70555125
## 1416  1.443004e+01  -6.810750489  38.5814181   1.01978299   8.70555125
## 1417  1.443004e+01  -6.810750489  38.5814181   1.01978299   8.70555125
## 1418 -2.389673e+00   0.561165057   2.6834355   7.12056664  -1.74125634
## 1419 -2.389673e+00   0.561165057   2.6834355   7.12056664  -1.74125634
## 1420 -2.389673e+00   0.561165057   2.6834355   7.12056664  -1.74125634
## 1421 -2.389673e+00   0.561165057   2.6834355   7.12056664  -1.74125634
## 1422 -2.389673e+00   0.561165057   2.6834355   7.12056664  -1.74125634
## 1423            NA            NA          NA           NA           NA
## 1424            NA            NA          NA           NA           NA
## 1425            NA            NA          NA           NA           NA
## 1426            NA            NA          NA           NA           NA
## 1427            NA            NA          NA           NA           NA
## 1428 -5.274973e-01  -0.429856664  15.2357653  -5.97347810  -7.86669633
## 1429 -5.274973e-01  -0.429856664  15.2357653  -5.97347810  -7.86669633
## 1430 -5.274973e-01  -0.429856664  15.2357653  -5.97347810  -7.86669633
## 1431 -5.274973e-01  -0.429856664  15.2357653  -5.97347810  -7.86669633
## 1432 -5.274973e-01  -0.429856664  15.2357653  -5.97347810  -7.86669633
## 1433  9.722233e+00   1.199808370 -16.5328636   0.95064481 -14.09393945
## 1434  9.722233e+00   1.199808370 -16.5328636   0.95064481 -14.09393945
## 1435  9.722233e+00   1.199808370 -16.5328636   0.95064481 -14.09393945
## 1436  9.722233e+00   1.199808370 -16.5328636   0.95064481 -14.09393945
## 1437  9.722233e+00   1.199808370 -16.5328636   0.95064481 -14.09393945
## 1438            NA            NA          NA           NA           NA
## 1439            NA            NA          NA           NA           NA
## 1440            NA            NA          NA           NA           NA
## 1441            NA            NA          NA           NA           NA
## 1442            NA            NA          NA           NA           NA
## 1443  9.939070e+00  10.963516257   6.9872256   0.20518568 -21.90417203
## 1444  9.939070e+00  10.963516257   6.9872256   0.20518568 -21.90417203
## 1445  9.939070e+00  10.963516257   6.9872256   0.20518568 -21.90417203
## 1446  9.939070e+00  10.963516257   6.9872256   0.20518568 -21.90417203
## 1447  9.939070e+00  10.963516257   6.9872256   0.20518568 -21.90417203
## 1448            NA            NA          NA           NA           NA
## 1449            NA            NA          NA           NA           NA
## 1450            NA            NA          NA           NA           NA
## 1451            NA            NA          NA           NA           NA
## 1452            NA            NA          NA           NA           NA
## 1453            NA            NA          NA           NA           NA
## 1454            NA            NA          NA           NA           NA
## 1455            NA            NA          NA           NA           NA
## 1456            NA            NA          NA           NA           NA
## 1457            NA            NA          NA           NA           NA
## 1458            NA            NA          NA           NA           NA
## 1459            NA            NA          NA           NA           NA
## 1460            NA            NA          NA           NA           NA
## 1461            NA            NA          NA           NA           NA
## 1462            NA            NA          NA           NA           NA
## 1463  3.971436e+00  -5.054261037   1.0489242   6.60561914   6.61301736
## 1464  3.971436e+00  -5.054261037   1.0489242   6.60561914   6.61301736
## 1465  3.971436e+00  -5.054261037   1.0489242   6.60561914   6.61301736
## 1466  3.971436e+00  -5.054261037   1.0489242   6.60561914   6.61301736
## 1467  3.971436e+00  -5.054261037   1.0489242   6.60561914   6.61301736
## 1468            NA            NA          NA           NA           NA
## 1469            NA            NA          NA           NA           NA
## 1470            NA            NA          NA           NA           NA
## 1471            NA            NA          NA           NA           NA
## 1472            NA            NA          NA           NA           NA
## 1473            NA            NA          NA           NA           NA
## 1474            NA            NA          NA           NA           NA
## 1475            NA            NA          NA           NA           NA
## 1476            NA            NA          NA           NA           NA
## 1477            NA            NA          NA           NA           NA
## 1478            NA            NA          NA           NA           NA
## 1479            NA            NA          NA           NA           NA
## 1480            NA            NA          NA           NA           NA
## 1481            NA            NA          NA           NA           NA
## 1482            NA            NA          NA           NA           NA
## 1483            NA            NA          NA           NA           NA
## 1484            NA            NA          NA           NA           NA
## 1485            NA            NA          NA           NA           NA
## 1486            NA            NA          NA           NA           NA
## 1487            NA            NA          NA           NA           NA
## 1488  8.372624e+00  -2.495961311   9.1492364 -13.11970322  -2.24384269
## 1489  8.372624e+00  -2.495961311   9.1492364 -13.11970322  -2.24384269
## 1490  8.372624e+00  -2.495961311   9.1492364 -13.11970322  -2.24384269
## 1491  8.372624e+00  -2.495961311   9.1492364 -13.11970322  -2.24384269
## 1492  8.372624e+00  -2.495961311   9.1492364 -13.11970322  -2.24384269
## 1493  6.051062e+00   4.047731189  38.5453518  -1.06723694 -10.28523015
## 1494  6.051062e+00   4.047731189  38.5453518  -1.06723694 -10.28523015
## 1495  6.051062e+00   4.047731189  38.5453518  -1.06723694 -10.28523015
## 1496  6.051062e+00   4.047731189  38.5453518  -1.06723694 -10.28523015
## 1497  6.051062e+00   4.047731189  38.5453518  -1.06723694 -10.28523015
## 1498  3.146990e-01   5.087182448   4.9472556  -6.46966543  -7.41003999
## 1499  3.146990e-01   5.087182448   4.9472556  -6.46966543  -7.41003999
## 1500  3.146990e-01   5.087182448   4.9472556  -6.46966543  -7.41003999
## 1501  3.146990e-01   5.087182448   4.9472556  -6.46966543  -7.41003999
## 1502  3.146990e-01   5.087182448   4.9472556  -6.46966543  -7.41003999
## 1503 -2.015579e+00  -3.219247319   8.0242361  -2.12062029  -3.66880736
## 1504 -2.015579e+00  -3.219247319   8.0242361  -2.12062029  -3.66880736
## 1505 -2.015579e+00  -3.219247319   8.0242361  -2.12062029  -3.66880736
## 1506 -2.015579e+00  -3.219247319   8.0242361  -2.12062029  -3.66880736
## 1507 -2.015579e+00  -3.219247319   8.0242361  -2.12062029  -3.66880736
## 1508            NA            NA          NA           NA           NA
## 1509            NA            NA          NA           NA           NA
## 1510            NA            NA          NA           NA           NA
## 1511            NA            NA          NA           NA           NA
## 1512            NA            NA          NA           NA           NA
## 1513            NA            NA          NA           NA           NA
## 1514            NA            NA          NA           NA           NA
## 1515            NA            NA          NA           NA           NA
## 1516            NA            NA          NA           NA           NA
## 1517            NA            NA          NA           NA           NA
## 1518            NA            NA          NA           NA           NA
## 1519            NA            NA          NA           NA           NA
## 1520            NA            NA          NA           NA           NA
## 1521            NA            NA          NA           NA           NA
## 1522            NA            NA          NA           NA           NA
## 1523            NA            NA          NA           NA           NA
## 1524            NA            NA          NA           NA           NA
## 1525            NA            NA          NA           NA           NA
## 1526            NA            NA          NA           NA           NA
## 1527            NA            NA          NA           NA           NA
## 1528 -2.295762e+00  -3.296965317   2.6419435 -27.49373356   0.05811418
## 1529 -2.295762e+00  -3.296965317   2.6419435 -27.49373356   0.05811418
## 1530 -2.295762e+00  -3.296965317   2.6419435 -27.49373356   0.05811418
## 1531 -2.295762e+00  -3.296965317   2.6419435 -27.49373356   0.05811418
## 1532 -2.295762e+00  -3.296965317   2.6419435 -27.49373356   0.05811418
## 1533            NA            NA          NA           NA           NA
## 1534            NA            NA          NA           NA           NA
## 1535            NA            NA          NA           NA           NA
## 1536            NA            NA          NA           NA           NA
## 1537            NA            NA          NA           NA           NA
## 1538            NA            NA          NA           NA           NA
##        PC50_score   PC38_score    PC72_score   PC78_score   PC48_score
## 1     -0.20387192  -2.91296701  -7.433586253   2.81489116  -7.40795133
## 2     -0.20387192  -2.91296701  -7.433586253   2.81489116  -7.40795133
## 3     -0.20387192  -2.91296701  -7.433586253   2.81489116  -7.40795133
## 4     -0.20387192  -2.91296701  -7.433586253   2.81489116  -7.40795133
## 5     -0.20387192  -2.91296701  -7.433586253   2.81489116  -7.40795133
## 6     -0.20387192  -2.91296701  -7.433586253   2.81489116  -7.40795133
## 7     -0.20387192  -2.91296701  -7.433586253   2.81489116  -7.40795133
## 8     -0.20387192  -2.91296701  -7.433586253   2.81489116  -7.40795133
## 9     -0.52747119   1.30927915  -0.690228342   4.03942978  -5.78605659
## 10    -0.52747119   1.30927915  -0.690228342   4.03942978  -5.78605659
## 11    -0.52747119   1.30927915  -0.690228342   4.03942978  -5.78605659
## 12    -0.52747119   1.30927915  -0.690228342   4.03942978  -5.78605659
## 13    -0.52747119   1.30927915  -0.690228342   4.03942978  -5.78605659
## 14    -0.52747119   1.30927915  -0.690228342   4.03942978  -5.78605659
## 15    -0.52747119   1.30927915  -0.690228342   4.03942978  -5.78605659
## 16    -0.52747119   1.30927915  -0.690228342   4.03942978  -5.78605659
## 17    10.78712789  -3.12001230  -2.950412726   3.09083949  14.67304311
## 18    10.78712789  -3.12001230  -2.950412726   3.09083949  14.67304311
## 19    10.78712789  -3.12001230  -2.950412726   3.09083949  14.67304311
## 20    10.78712789  -3.12001230  -2.950412726   3.09083949  14.67304311
## 21    10.78712789  -3.12001230  -2.950412726   3.09083949  14.67304311
## 22    10.78712789  -3.12001230  -2.950412726   3.09083949  14.67304311
## 23    10.78712789  -3.12001230  -2.950412726   3.09083949  14.67304311
## 24    10.78712789  -3.12001230  -2.950412726   3.09083949  14.67304311
## 25   -39.99286769   6.19216214   0.063776555   2.00982653 -10.23329114
## 26   -39.99286769   6.19216214   0.063776555   2.00982653 -10.23329114
## 27   -39.99286769   6.19216214   0.063776555   2.00982653 -10.23329114
## 28   -39.99286769   6.19216214   0.063776555   2.00982653 -10.23329114
## 29   -39.99286769   6.19216214   0.063776555   2.00982653 -10.23329114
## 30   -39.99286769   6.19216214   0.063776555   2.00982653 -10.23329114
## 31   -39.99286769   6.19216214   0.063776555   2.00982653 -10.23329114
## 32   -39.99286769   6.19216214   0.063776555   2.00982653 -10.23329114
## 33   -12.45064234 -12.05110738  17.084628226 -20.88890118  14.10470894
## 34   -12.45064234 -12.05110738  17.084628226 -20.88890118  14.10470894
## 35   -12.45064234 -12.05110738  17.084628226 -20.88890118  14.10470894
## 36   -12.45064234 -12.05110738  17.084628226 -20.88890118  14.10470894
## 37   -12.45064234 -12.05110738  17.084628226 -20.88890118  14.10470894
## 38   -12.45064234 -12.05110738  17.084628226 -20.88890118  14.10470894
## 39   -12.45064234 -12.05110738  17.084628226 -20.88890118  14.10470894
## 40   -12.45064234 -12.05110738  17.084628226 -20.88890118  14.10470894
## 41    -5.77061565  -0.30190418 -11.925581064 -11.50821175  -1.94144247
## 42    -5.77061565  -0.30190418 -11.925581064 -11.50821175  -1.94144247
## 43    -5.77061565  -0.30190418 -11.925581064 -11.50821175  -1.94144247
## 44    -5.77061565  -0.30190418 -11.925581064 -11.50821175  -1.94144247
## 45    -5.77061565  -0.30190418 -11.925581064 -11.50821175  -1.94144247
## 46    -5.77061565  -0.30190418 -11.925581064 -11.50821175  -1.94144247
## 47    -5.77061565  -0.30190418 -11.925581064 -11.50821175  -1.94144247
## 48    -5.77061565  -0.30190418 -11.925581064 -11.50821175  -1.94144247
## 49    11.75612497  14.80212864   2.348289882   6.09287605  12.08911127
## 50    11.75612497  14.80212864   2.348289882   6.09287605  12.08911127
## 51    11.75612497  14.80212864   2.348289882   6.09287605  12.08911127
## 52    11.75612497  14.80212864   2.348289882   6.09287605  12.08911127
## 53    11.75612497  14.80212864   2.348289882   6.09287605  12.08911127
## 54    11.75612497  14.80212864   2.348289882   6.09287605  12.08911127
## 55    11.75612497  14.80212864   2.348289882   6.09287605  12.08911127
## 56    11.75612497  14.80212864   2.348289882   6.09287605  12.08911127
## 57    -3.08081007 -27.99152721   0.951558475   1.91399623  -2.95831855
## 58    -3.08081007 -27.99152721   0.951558475   1.91399623  -2.95831855
## 59    -3.08081007 -27.99152721   0.951558475   1.91399623  -2.95831855
## 60    -3.08081007 -27.99152721   0.951558475   1.91399623  -2.95831855
## 61    -3.08081007 -27.99152721   0.951558475   1.91399623  -2.95831855
## 62    -3.08081007 -27.99152721   0.951558475   1.91399623  -2.95831855
## 63    -3.08081007 -27.99152721   0.951558475   1.91399623  -2.95831855
## 64    -3.08081007 -27.99152721   0.951558475   1.91399623  -2.95831855
## 65    23.49916457  -5.88588262   6.649155013   9.33007829 -31.46813866
## 66    23.49916457  -5.88588262   6.649155013   9.33007829 -31.46813866
## 67    23.49916457  -5.88588262   6.649155013   9.33007829 -31.46813866
## 68    23.49916457  -5.88588262   6.649155013   9.33007829 -31.46813866
## 69    23.49916457  -5.88588262   6.649155013   9.33007829 -31.46813866
## 70    23.49916457  -5.88588262   6.649155013   9.33007829 -31.46813866
## 71    23.49916457  -5.88588262   6.649155013   9.33007829 -31.46813866
## 72    23.49916457  -5.88588262   6.649155013   9.33007829 -31.46813866
## 73   -18.07272729 -17.60207507  -6.110241508 -16.37871102 -26.12112043
## 74   -18.07272729 -17.60207507  -6.110241508 -16.37871102 -26.12112043
## 75   -18.07272729 -17.60207507  -6.110241508 -16.37871102 -26.12112043
## 76   -18.07272729 -17.60207507  -6.110241508 -16.37871102 -26.12112043
## 77   -18.07272729 -17.60207507  -6.110241508 -16.37871102 -26.12112043
## 78   -18.07272729 -17.60207507  -6.110241508 -16.37871102 -26.12112043
## 79   -18.07272729 -17.60207507  -6.110241508 -16.37871102 -26.12112043
## 80   -18.07272729 -17.60207507  -6.110241508 -16.37871102 -26.12112043
## 81    -5.20058311  -5.62256905  36.650981862  -8.40723297  -3.69726284
## 82    -5.20058311  -5.62256905  36.650981862  -8.40723297  -3.69726284
## 83    -5.20058311  -5.62256905  36.650981862  -8.40723297  -3.69726284
## 84    -5.20058311  -5.62256905  36.650981862  -8.40723297  -3.69726284
## 85    -5.20058311  -5.62256905  36.650981862  -8.40723297  -3.69726284
## 86    -5.20058311  -5.62256905  36.650981862  -8.40723297  -3.69726284
## 87    -5.20058311  -5.62256905  36.650981862  -8.40723297  -3.69726284
## 88    -5.20058311  -5.62256905  36.650981862  -8.40723297  -3.69726284
## 89    11.11042989 -15.12227496   0.220694279   8.05491071   5.19510095
## 90    11.11042989 -15.12227496   0.220694279   8.05491071   5.19510095
## 91    11.11042989 -15.12227496   0.220694279   8.05491071   5.19510095
## 92    11.11042989 -15.12227496   0.220694279   8.05491071   5.19510095
## 93    11.11042989 -15.12227496   0.220694279   8.05491071   5.19510095
## 94    11.11042989 -15.12227496   0.220694279   8.05491071   5.19510095
## 95    11.11042989 -15.12227496   0.220694279   8.05491071   5.19510095
## 96    11.11042989 -15.12227496   0.220694279   8.05491071   5.19510095
## 97    24.58656078 -17.56825813   2.018074276   2.06260684   3.63093740
## 98    24.58656078 -17.56825813   2.018074276   2.06260684   3.63093740
## 99    24.58656078 -17.56825813   2.018074276   2.06260684   3.63093740
## 100   24.58656078 -17.56825813   2.018074276   2.06260684   3.63093740
## 101   24.58656078 -17.56825813   2.018074276   2.06260684   3.63093740
## 102   24.58656078 -17.56825813   2.018074276   2.06260684   3.63093740
## 103   24.58656078 -17.56825813   2.018074276   2.06260684   3.63093740
## 104   24.58656078 -17.56825813   2.018074276   2.06260684   3.63093740
## 105   -8.20492979  -0.02335653  -8.705776063   9.73149413  -0.05743760
## 106   -8.20492979  -0.02335653  -8.705776063   9.73149413  -0.05743760
## 107   -8.20492979  -0.02335653  -8.705776063   9.73149413  -0.05743760
## 108   -8.20492979  -0.02335653  -8.705776063   9.73149413  -0.05743760
## 109   -8.20492979  -0.02335653  -8.705776063   9.73149413  -0.05743760
## 110   -8.20492979  -0.02335653  -8.705776063   9.73149413  -0.05743760
## 111   -8.20492979  -0.02335653  -8.705776063   9.73149413  -0.05743760
## 112   -8.20492979  -0.02335653  -8.705776063   9.73149413  -0.05743760
## 113    2.56293480   2.94857372  -2.045995720  -0.76128048  -2.40877503
## 114    2.56293480   2.94857372  -2.045995720  -0.76128048  -2.40877503
## 115    2.56293480   2.94857372  -2.045995720  -0.76128048  -2.40877503
## 116    2.56293480   2.94857372  -2.045995720  -0.76128048  -2.40877503
## 117    2.56293480   2.94857372  -2.045995720  -0.76128048  -2.40877503
## 118    2.56293480   2.94857372  -2.045995720  -0.76128048  -2.40877503
## 119    2.56293480   2.94857372  -2.045995720  -0.76128048  -2.40877503
## 120    2.56293480   2.94857372  -2.045995720  -0.76128048  -2.40877503
## 121    9.30657972 -20.31894811  -6.711625616  -7.33381511  28.93278302
## 122    9.30657972 -20.31894811  -6.711625616  -7.33381511  28.93278302
## 123    9.30657972 -20.31894811  -6.711625616  -7.33381511  28.93278302
## 124    9.30657972 -20.31894811  -6.711625616  -7.33381511  28.93278302
## 125    9.30657972 -20.31894811  -6.711625616  -7.33381511  28.93278302
## 126    9.30657972 -20.31894811  -6.711625616  -7.33381511  28.93278302
## 127    9.30657972 -20.31894811  -6.711625616  -7.33381511  28.93278302
## 128    9.30657972 -20.31894811  -6.711625616  -7.33381511  28.93278302
## 129    1.56164657 -21.84861607  -4.150454930   9.93673629   2.76716481
## 130    1.56164657 -21.84861607  -4.150454930   9.93673629   2.76716481
## 131    1.56164657 -21.84861607  -4.150454930   9.93673629   2.76716481
## 132    1.56164657 -21.84861607  -4.150454930   9.93673629   2.76716481
## 133    1.56164657 -21.84861607  -4.150454930   9.93673629   2.76716481
## 134    1.56164657 -21.84861607  -4.150454930   9.93673629   2.76716481
## 135    1.56164657 -21.84861607  -4.150454930   9.93673629   2.76716481
## 136    1.56164657 -21.84861607  -4.150454930   9.93673629   2.76716481
## 137    1.05717165   6.37160035   0.177641727  -0.71562721   2.76198842
## 138    1.05717165   6.37160035   0.177641727  -0.71562721   2.76198842
## 139    1.05717165   6.37160035   0.177641727  -0.71562721   2.76198842
## 140    1.05717165   6.37160035   0.177641727  -0.71562721   2.76198842
## 141    1.05717165   6.37160035   0.177641727  -0.71562721   2.76198842
## 142    1.05717165   6.37160035   0.177641727  -0.71562721   2.76198842
## 143    1.05717165   6.37160035   0.177641727  -0.71562721   2.76198842
## 144    1.05717165   6.37160035   0.177641727  -0.71562721   2.76198842
## 145  -21.21291300   7.27514272   9.556229286  -8.86503399  -7.28968322
## 146  -21.21291300   7.27514272   9.556229286  -8.86503399  -7.28968322
## 147  -21.21291300   7.27514272   9.556229286  -8.86503399  -7.28968322
## 148  -21.21291300   7.27514272   9.556229286  -8.86503399  -7.28968322
## 149  -21.21291300   7.27514272   9.556229286  -8.86503399  -7.28968322
## 150  -21.21291300   7.27514272   9.556229286  -8.86503399  -7.28968322
## 151  -21.21291300   7.27514272   9.556229286  -8.86503399  -7.28968322
## 152  -21.21291300   7.27514272   9.556229286  -8.86503399  -7.28968322
## 153   -1.77738053   0.40165678  -1.874172704  -2.63767115   0.20886520
## 154   -1.77738053   0.40165678  -1.874172704  -2.63767115   0.20886520
## 155   -1.77738053   0.40165678  -1.874172704  -2.63767115   0.20886520
## 156   -1.77738053   0.40165678  -1.874172704  -2.63767115   0.20886520
## 157   -1.77738053   0.40165678  -1.874172704  -2.63767115   0.20886520
## 158   -1.77738053   0.40165678  -1.874172704  -2.63767115   0.20886520
## 159   -1.77738053   0.40165678  -1.874172704  -2.63767115   0.20886520
## 160   -1.77738053   0.40165678  -1.874172704  -2.63767115   0.20886520
## 161    1.25055283   0.27680587  25.963655027  11.23460914 -16.45017015
## 162    1.25055283   0.27680587  25.963655027  11.23460914 -16.45017015
## 163    1.25055283   0.27680587  25.963655027  11.23460914 -16.45017015
## 164    1.25055283   0.27680587  25.963655027  11.23460914 -16.45017015
## 165    1.25055283   0.27680587  25.963655027  11.23460914 -16.45017015
## 166    1.25055283   0.27680587  25.963655027  11.23460914 -16.45017015
## 167    1.25055283   0.27680587  25.963655027  11.23460914 -16.45017015
## 168    1.25055283   0.27680587  25.963655027  11.23460914 -16.45017015
## 169    2.34361906   0.61360573  -2.505083442   3.74003855  -6.44645629
## 170    2.34361906   0.61360573  -2.505083442   3.74003855  -6.44645629
## 171    2.34361906   0.61360573  -2.505083442   3.74003855  -6.44645629
## 172    2.34361906   0.61360573  -2.505083442   3.74003855  -6.44645629
## 173    2.34361906   0.61360573  -2.505083442   3.74003855  -6.44645629
## 174    2.34361906   0.61360573  -2.505083442   3.74003855  -6.44645629
## 175    2.34361906   0.61360573  -2.505083442   3.74003855  -6.44645629
## 176    2.34361906   0.61360573  -2.505083442   3.74003855  -6.44645629
## 177    2.08745327   5.03638983   3.743992252   7.41433994   1.46918952
## 178    2.08745327   5.03638983   3.743992252   7.41433994   1.46918952
## 179    2.08745327   5.03638983   3.743992252   7.41433994   1.46918952
## 180    2.08745327   5.03638983   3.743992252   7.41433994   1.46918952
## 181    2.08745327   5.03638983   3.743992252   7.41433994   1.46918952
## 182    2.08745327   5.03638983   3.743992252   7.41433994   1.46918952
## 183    2.08745327   5.03638983   3.743992252   7.41433994   1.46918952
## 184    2.08745327   5.03638983   3.743992252   7.41433994   1.46918952
## 185    5.05358690  -2.53470134   3.396752750   0.65547413   1.84125628
## 186    5.05358690  -2.53470134   3.396752750   0.65547413   1.84125628
## 187    5.05358690  -2.53470134   3.396752750   0.65547413   1.84125628
## 188    5.05358690  -2.53470134   3.396752750   0.65547413   1.84125628
## 189    5.05358690  -2.53470134   3.396752750   0.65547413   1.84125628
## 190    5.05358690  -2.53470134   3.396752750   0.65547413   1.84125628
## 191    5.05358690  -2.53470134   3.396752750   0.65547413   1.84125628
## 192    5.05358690  -2.53470134   3.396752750   0.65547413   1.84125628
## 193   16.07069809  -4.67332303  -6.449671252 -20.60107731 -49.98811418
## 194   16.07069809  -4.67332303  -6.449671252 -20.60107731 -49.98811418
## 195   16.07069809  -4.67332303  -6.449671252 -20.60107731 -49.98811418
## 196   16.07069809  -4.67332303  -6.449671252 -20.60107731 -49.98811418
## 197   16.07069809  -4.67332303  -6.449671252 -20.60107731 -49.98811418
## 198   16.07069809  -4.67332303  -6.449671252 -20.60107731 -49.98811418
## 199   16.07069809  -4.67332303  -6.449671252 -20.60107731 -49.98811418
## 200   16.07069809  -4.67332303  -6.449671252 -20.60107731 -49.98811418
## 201  -18.63353709  16.26184763  -0.173001003   3.83124263  -5.05228617
## 202  -18.63353709  16.26184763  -0.173001003   3.83124263  -5.05228617
## 203  -18.63353709  16.26184763  -0.173001003   3.83124263  -5.05228617
## 204  -18.63353709  16.26184763  -0.173001003   3.83124263  -5.05228617
## 205  -18.63353709  16.26184763  -0.173001003   3.83124263  -5.05228617
## 206  -18.63353709  16.26184763  -0.173001003   3.83124263  -5.05228617
## 207  -18.63353709  16.26184763  -0.173001003   3.83124263  -5.05228617
## 208  -18.63353709  16.26184763  -0.173001003   3.83124263  -5.05228617
## 209   -1.68319114   2.43817405  -2.776464107  -2.43800896   3.37668143
## 210   -1.68319114   2.43817405  -2.776464107  -2.43800896   3.37668143
## 211   -1.68319114   2.43817405  -2.776464107  -2.43800896   3.37668143
## 212   -1.68319114   2.43817405  -2.776464107  -2.43800896   3.37668143
## 213   -1.68319114   2.43817405  -2.776464107  -2.43800896   3.37668143
## 214   -1.68319114   2.43817405  -2.776464107  -2.43800896   3.37668143
## 215   -1.68319114   2.43817405  -2.776464107  -2.43800896   3.37668143
## 216   -1.68319114   2.43817405  -2.776464107  -2.43800896   3.37668143
## 217    1.10066289   0.06677064   3.126881275  -0.22877663  -0.05562216
## 218    1.10066289   0.06677064   3.126881275  -0.22877663  -0.05562216
## 219    1.10066289   0.06677064   3.126881275  -0.22877663  -0.05562216
## 220    1.10066289   0.06677064   3.126881275  -0.22877663  -0.05562216
## 221    1.10066289   0.06677064   3.126881275  -0.22877663  -0.05562216
## 222    1.10066289   0.06677064   3.126881275  -0.22877663  -0.05562216
## 223    1.10066289   0.06677064   3.126881275  -0.22877663  -0.05562216
## 224    1.10066289   0.06677064   3.126881275  -0.22877663  -0.05562216
## 225   -3.63705224   1.48212127  -8.538156488  -5.06469957   3.95477205
## 226   -3.63705224   1.48212127  -8.538156488  -5.06469957   3.95477205
## 227   -3.63705224   1.48212127  -8.538156488  -5.06469957   3.95477205
## 228   -3.63705224   1.48212127  -8.538156488  -5.06469957   3.95477205
## 229   -3.63705224   1.48212127  -8.538156488  -5.06469957   3.95477205
## 230   -3.63705224   1.48212127  -8.538156488  -5.06469957   3.95477205
## 231   -3.63705224   1.48212127  -8.538156488  -5.06469957   3.95477205
## 232   -3.63705224   1.48212127  -8.538156488  -5.06469957   3.95477205
## 233  -16.74394775 -12.26041203  -4.610327435  -5.23307537   1.12398437
## 234  -16.74394775 -12.26041203  -4.610327435  -5.23307537   1.12398437
## 235  -16.74394775 -12.26041203  -4.610327435  -5.23307537   1.12398437
## 236  -16.74394775 -12.26041203  -4.610327435  -5.23307537   1.12398437
## 237  -16.74394775 -12.26041203  -4.610327435  -5.23307537   1.12398437
## 238  -16.74394775 -12.26041203  -4.610327435  -5.23307537   1.12398437
## 239  -16.74394775 -12.26041203  -4.610327435  -5.23307537   1.12398437
## 240  -16.74394775 -12.26041203  -4.610327435  -5.23307537   1.12398437
## 241   -8.17220494   1.48025857  -2.094297629 -18.93533658   7.75646720
## 242   -8.17220494   1.48025857  -2.094297629 -18.93533658   7.75646720
## 243   -8.17220494   1.48025857  -2.094297629 -18.93533658   7.75646720
## 244   -8.17220494   1.48025857  -2.094297629 -18.93533658   7.75646720
## 245   -8.17220494   1.48025857  -2.094297629 -18.93533658   7.75646720
## 246   -8.17220494   1.48025857  -2.094297629 -18.93533658   7.75646720
## 247   -8.17220494   1.48025857  -2.094297629 -18.93533658   7.75646720
## 248   -8.17220494   1.48025857  -2.094297629 -18.93533658   7.75646720
## 249  -19.74636801 -10.66569656 -34.231083922   3.71789980   7.72733597
## 250  -19.74636801 -10.66569656 -34.231083922   3.71789980   7.72733597
## 251  -19.74636801 -10.66569656 -34.231083922   3.71789980   7.72733597
## 252  -19.74636801 -10.66569656 -34.231083922   3.71789980   7.72733597
## 253  -19.74636801 -10.66569656 -34.231083922   3.71789980   7.72733597
## 254  -19.74636801 -10.66569656 -34.231083922   3.71789980   7.72733597
## 255  -19.74636801 -10.66569656 -34.231083922   3.71789980   7.72733597
## 256  -19.74636801 -10.66569656 -34.231083922   3.71789980   7.72733597
## 257   -1.78490614  -3.53036943 -10.048657118  -1.97285478  -3.85369833
## 258   -1.78490614  -3.53036943 -10.048657118  -1.97285478  -3.85369833
## 259   -1.78490614  -3.53036943 -10.048657118  -1.97285478  -3.85369833
## 260   -1.78490614  -3.53036943 -10.048657118  -1.97285478  -3.85369833
## 261   -1.78490614  -3.53036943 -10.048657118  -1.97285478  -3.85369833
## 262   -1.78490614  -3.53036943 -10.048657118  -1.97285478  -3.85369833
## 263   -1.78490614  -3.53036943 -10.048657118  -1.97285478  -3.85369833
## 264   -1.78490614  -3.53036943 -10.048657118  -1.97285478  -3.85369833
## 265   18.47759762   0.40530442  -7.687125946  -2.24074168  55.81195151
## 266   18.47759762   0.40530442  -7.687125946  -2.24074168  55.81195151
## 267   18.47759762   0.40530442  -7.687125946  -2.24074168  55.81195151
## 268   18.47759762   0.40530442  -7.687125946  -2.24074168  55.81195151
## 269   18.47759762   0.40530442  -7.687125946  -2.24074168  55.81195151
## 270   18.47759762   0.40530442  -7.687125946  -2.24074168  55.81195151
## 271   18.47759762   0.40530442  -7.687125946  -2.24074168  55.81195151
## 272   18.47759762   0.40530442  -7.687125946  -2.24074168  55.81195151
## 273  -17.60892386   4.24298877  -0.052938811  -4.07336043   3.30109266
## 274  -17.60892386   4.24298877  -0.052938811  -4.07336043   3.30109266
## 275  -17.60892386   4.24298877  -0.052938811  -4.07336043   3.30109266
## 276  -17.60892386   4.24298877  -0.052938811  -4.07336043   3.30109266
## 277  -17.60892386   4.24298877  -0.052938811  -4.07336043   3.30109266
## 278  -17.60892386   4.24298877  -0.052938811  -4.07336043   3.30109266
## 279  -17.60892386   4.24298877  -0.052938811  -4.07336043   3.30109266
## 280  -17.60892386   4.24298877  -0.052938811  -4.07336043   3.30109266
## 281   24.08091420   8.16308287   7.860086919  -0.82076764 -27.92301620
## 282   24.08091420   8.16308287   7.860086919  -0.82076764 -27.92301620
## 283   24.08091420   8.16308287   7.860086919  -0.82076764 -27.92301620
## 284   24.08091420   8.16308287   7.860086919  -0.82076764 -27.92301620
## 285   24.08091420   8.16308287   7.860086919  -0.82076764 -27.92301620
## 286   24.08091420   8.16308287   7.860086919  -0.82076764 -27.92301620
## 287   24.08091420   8.16308287   7.860086919  -0.82076764 -27.92301620
## 288   24.08091420   8.16308287   7.860086919  -0.82076764 -27.92301620
## 289    1.40841152  -1.17878561  22.152381312 -14.39507125   1.83385360
## 290    1.40841152  -1.17878561  22.152381312 -14.39507125   1.83385360
## 291    1.40841152  -1.17878561  22.152381312 -14.39507125   1.83385360
## 292    1.40841152  -1.17878561  22.152381312 -14.39507125   1.83385360
## 293    1.40841152  -1.17878561  22.152381312 -14.39507125   1.83385360
## 294    1.40841152  -1.17878561  22.152381312 -14.39507125   1.83385360
## 295    1.40841152  -1.17878561  22.152381312 -14.39507125   1.83385360
## 296    1.40841152  -1.17878561  22.152381312 -14.39507125   1.83385360
## 297   -0.22526766   4.17071795   6.473757385 -13.51852644  -0.95676431
## 298   -0.22526766   4.17071795   6.473757385 -13.51852644  -0.95676431
## 299   -0.22526766   4.17071795   6.473757385 -13.51852644  -0.95676431
## 300   -0.22526766   4.17071795   6.473757385 -13.51852644  -0.95676431
## 301   -0.22526766   4.17071795   6.473757385 -13.51852644  -0.95676431
## 302   -0.22526766   4.17071795   6.473757385 -13.51852644  -0.95676431
## 303   -0.22526766   4.17071795   6.473757385 -13.51852644  -0.95676431
## 304   -0.22526766   4.17071795   6.473757385 -13.51852644  -0.95676431
## 305   -6.47062137   6.33793809  -6.429875399  -0.52756026  -1.23249175
## 306   -6.47062137   6.33793809  -6.429875399  -0.52756026  -1.23249175
## 307   -6.47062137   6.33793809  -6.429875399  -0.52756026  -1.23249175
## 308   -6.47062137   6.33793809  -6.429875399  -0.52756026  -1.23249175
## 309   -6.47062137   6.33793809  -6.429875399  -0.52756026  -1.23249175
## 310   -6.47062137   6.33793809  -6.429875399  -0.52756026  -1.23249175
## 311   -6.47062137   6.33793809  -6.429875399  -0.52756026  -1.23249175
## 312   -6.47062137   6.33793809  -6.429875399  -0.52756026  -1.23249175
## 313   34.92590135  -7.99839772   0.217990774  -0.73419457 -41.37970437
## 314   34.92590135  -7.99839772   0.217990774  -0.73419457 -41.37970437
## 315   34.92590135  -7.99839772   0.217990774  -0.73419457 -41.37970437
## 316   34.92590135  -7.99839772   0.217990774  -0.73419457 -41.37970437
## 317   34.92590135  -7.99839772   0.217990774  -0.73419457 -41.37970437
## 318   34.92590135  -7.99839772   0.217990774  -0.73419457 -41.37970437
## 319   34.92590135  -7.99839772   0.217990774  -0.73419457 -41.37970437
## 320   34.92590135  -7.99839772   0.217990774  -0.73419457 -41.37970437
## 321    3.46305793   1.88059422  -5.624490129   3.59454647 -11.19286991
## 322    3.46305793   1.88059422  -5.624490129   3.59454647 -11.19286991
## 323    3.46305793   1.88059422  -5.624490129   3.59454647 -11.19286991
## 324    3.46305793   1.88059422  -5.624490129   3.59454647 -11.19286991
## 325    3.46305793   1.88059422  -5.624490129   3.59454647 -11.19286991
## 326    3.46305793   1.88059422  -5.624490129   3.59454647 -11.19286991
## 327    3.46305793   1.88059422  -5.624490129   3.59454647 -11.19286991
## 328    3.46305793   1.88059422  -5.624490129   3.59454647 -11.19286991
## 329    7.47059002   0.41337138   2.781431727  -8.94162025 -12.18942105
## 330    7.47059002   0.41337138   2.781431727  -8.94162025 -12.18942105
## 331    7.47059002   0.41337138   2.781431727  -8.94162025 -12.18942105
## 332    7.47059002   0.41337138   2.781431727  -8.94162025 -12.18942105
## 333    7.47059002   0.41337138   2.781431727  -8.94162025 -12.18942105
## 334    7.47059002   0.41337138   2.781431727  -8.94162025 -12.18942105
## 335    7.47059002   0.41337138   2.781431727  -8.94162025 -12.18942105
## 336    7.47059002   0.41337138   2.781431727  -8.94162025 -12.18942105
## 337   -6.85371735 -19.09356480  -5.471416805  -0.66195181 -12.20896820
## 338   -6.85371735 -19.09356480  -5.471416805  -0.66195181 -12.20896820
## 339   -6.85371735 -19.09356480  -5.471416805  -0.66195181 -12.20896820
## 340   -6.85371735 -19.09356480  -5.471416805  -0.66195181 -12.20896820
## 341   -6.85371735 -19.09356480  -5.471416805  -0.66195181 -12.20896820
## 342   -6.85371735 -19.09356480  -5.471416805  -0.66195181 -12.20896820
## 343   -6.85371735 -19.09356480  -5.471416805  -0.66195181 -12.20896820
## 344   -6.85371735 -19.09356480  -5.471416805  -0.66195181 -12.20896820
## 345   23.40334291 -12.66849479   1.205911259  -3.06344812  11.05028272
## 346   23.40334291 -12.66849479   1.205911259  -3.06344812  11.05028272
## 347   23.40334291 -12.66849479   1.205911259  -3.06344812  11.05028272
## 348   23.40334291 -12.66849479   1.205911259  -3.06344812  11.05028272
## 349   23.40334291 -12.66849479   1.205911259  -3.06344812  11.05028272
## 350   23.40334291 -12.66849479   1.205911259  -3.06344812  11.05028272
## 351   23.40334291 -12.66849479   1.205911259  -3.06344812  11.05028272
## 352   23.40334291 -12.66849479   1.205911259  -3.06344812  11.05028272
## 353   13.95347014   2.24734167 -15.412737346  26.95472976   3.25431353
## 354   13.95347014   2.24734167 -15.412737346  26.95472976   3.25431353
## 355   13.95347014   2.24734167 -15.412737346  26.95472976   3.25431353
## 356   13.95347014   2.24734167 -15.412737346  26.95472976   3.25431353
## 357   13.95347014   2.24734167 -15.412737346  26.95472976   3.25431353
## 358   13.95347014   2.24734167 -15.412737346  26.95472976   3.25431353
## 359   13.95347014   2.24734167 -15.412737346  26.95472976   3.25431353
## 360   13.95347014   2.24734167 -15.412737346  26.95472976   3.25431353
## 361    1.16383902  -4.28783735  -3.262639156   1.85860136   1.03643004
## 362    1.16383902  -4.28783735  -3.262639156   1.85860136   1.03643004
## 363    1.16383902  -4.28783735  -3.262639156   1.85860136   1.03643004
## 364    1.16383902  -4.28783735  -3.262639156   1.85860136   1.03643004
## 365    1.16383902  -4.28783735  -3.262639156   1.85860136   1.03643004
## 366    1.16383902  -4.28783735  -3.262639156   1.85860136   1.03643004
## 367    1.16383902  -4.28783735  -3.262639156   1.85860136   1.03643004
## 368    1.16383902  -4.28783735  -3.262639156   1.85860136   1.03643004
## 369    9.51665141   7.72447057  11.201509199 -14.58888613  14.77814832
## 370    9.51665141   7.72447057  11.201509199 -14.58888613  14.77814832
## 371    9.51665141   7.72447057  11.201509199 -14.58888613  14.77814832
## 372    9.51665141   7.72447057  11.201509199 -14.58888613  14.77814832
## 373    9.51665141   7.72447057  11.201509199 -14.58888613  14.77814832
## 374    9.51665141   7.72447057  11.201509199 -14.58888613  14.77814832
## 375    9.51665141   7.72447057  11.201509199 -14.58888613  14.77814832
## 376    9.51665141   7.72447057  11.201509199 -14.58888613  14.77814832
## 377   -6.52531342   1.54690194 -10.466491941 -36.66563042  -2.07997333
## 378   -6.52531342   1.54690194 -10.466491941 -36.66563042  -2.07997333
## 379   -6.52531342   1.54690194 -10.466491941 -36.66563042  -2.07997333
## 380   -6.52531342   1.54690194 -10.466491941 -36.66563042  -2.07997333
## 381   -6.52531342   1.54690194 -10.466491941 -36.66563042  -2.07997333
## 382   -6.52531342   1.54690194 -10.466491941 -36.66563042  -2.07997333
## 383   -6.52531342   1.54690194 -10.466491941 -36.66563042  -2.07997333
## 384   -6.52531342   1.54690194 -10.466491941 -36.66563042  -2.07997333
## 385   -1.39544686   5.46183537  -6.439568950  11.03249832  -0.57746699
## 386   -1.39544686   5.46183537  -6.439568950  11.03249832  -0.57746699
## 387   -1.39544686   5.46183537  -6.439568950  11.03249832  -0.57746699
## 388   -1.39544686   5.46183537  -6.439568950  11.03249832  -0.57746699
## 389   -1.39544686   5.46183537  -6.439568950  11.03249832  -0.57746699
## 390   -1.39544686   5.46183537  -6.439568950  11.03249832  -0.57746699
## 391   -1.39544686   5.46183537  -6.439568950  11.03249832  -0.57746699
## 392   -1.39544686   5.46183537  -6.439568950  11.03249832  -0.57746699
## 393    3.02541199   2.07317577   7.972273951   8.91647814  -0.39507768
## 394    3.02541199   2.07317577   7.972273951   8.91647814  -0.39507768
## 395    3.02541199   2.07317577   7.972273951   8.91647814  -0.39507768
## 396    3.02541199   2.07317577   7.972273951   8.91647814  -0.39507768
## 397    3.02541199   2.07317577   7.972273951   8.91647814  -0.39507768
## 398    3.02541199   2.07317577   7.972273951   8.91647814  -0.39507768
## 399    3.02541199   2.07317577   7.972273951   8.91647814  -0.39507768
## 400    3.02541199   2.07317577   7.972273951   8.91647814  -0.39507768
## 401  -17.67430317  -3.14092363   8.042378342   6.39562762  33.07933695
## 402  -17.67430317  -3.14092363   8.042378342   6.39562762  33.07933695
## 403  -17.67430317  -3.14092363   8.042378342   6.39562762  33.07933695
## 404  -17.67430317  -3.14092363   8.042378342   6.39562762  33.07933695
## 405  -17.67430317  -3.14092363   8.042378342   6.39562762  33.07933695
## 406  -17.67430317  -3.14092363   8.042378342   6.39562762  33.07933695
## 407  -17.67430317  -3.14092363   8.042378342   6.39562762  33.07933695
## 408  -17.67430317  -3.14092363   8.042378342   6.39562762  33.07933695
## 409  -58.77905718  12.36508490  -9.339522579   9.37463661   3.02416213
## 410  -58.77905718  12.36508490  -9.339522579   9.37463661   3.02416213
## 411  -58.77905718  12.36508490  -9.339522579   9.37463661   3.02416213
## 412  -58.77905718  12.36508490  -9.339522579   9.37463661   3.02416213
## 413  -58.77905718  12.36508490  -9.339522579   9.37463661   3.02416213
## 414  -58.77905718  12.36508490  -9.339522579   9.37463661   3.02416213
## 415  -58.77905718  12.36508490  -9.339522579   9.37463661   3.02416213
## 416  -58.77905718  12.36508490  -9.339522579   9.37463661   3.02416213
## 417   -9.51809766   4.13554406   9.024978864  18.79362998  -3.74619426
## 418   -9.51809766   4.13554406   9.024978864  18.79362998  -3.74619426
## 419   -9.51809766   4.13554406   9.024978864  18.79362998  -3.74619426
## 420   -9.51809766   4.13554406   9.024978864  18.79362998  -3.74619426
## 421   -9.51809766   4.13554406   9.024978864  18.79362998  -3.74619426
## 422   -9.51809766   4.13554406   9.024978864  18.79362998  -3.74619426
## 423   -9.51809766   4.13554406   9.024978864  18.79362998  -3.74619426
## 424   -9.51809766   4.13554406   9.024978864  18.79362998  -3.74619426
## 425    1.10874623  19.52593383 -12.251350792  -3.27302215   9.35307067
## 426    1.10874623  19.52593383 -12.251350792  -3.27302215   9.35307067
## 427    1.10874623  19.52593383 -12.251350792  -3.27302215   9.35307067
## 428    1.10874623  19.52593383 -12.251350792  -3.27302215   9.35307067
## 429    1.10874623  19.52593383 -12.251350792  -3.27302215   9.35307067
## 430    1.10874623  19.52593383 -12.251350792  -3.27302215   9.35307067
## 431    1.10874623  19.52593383 -12.251350792  -3.27302215   9.35307067
## 432    1.10874623  19.52593383 -12.251350792  -3.27302215   9.35307067
## 433    7.65153368   8.64389089   5.247302048 -18.00464513  -2.31043533
## 434    7.65153368   8.64389089   5.247302048 -18.00464513  -2.31043533
## 435    7.65153368   8.64389089   5.247302048 -18.00464513  -2.31043533
## 436    7.65153368   8.64389089   5.247302048 -18.00464513  -2.31043533
## 437    7.65153368   8.64389089   5.247302048 -18.00464513  -2.31043533
## 438    7.65153368   8.64389089   5.247302048 -18.00464513  -2.31043533
## 439    7.65153368   8.64389089   5.247302048 -18.00464513  -2.31043533
## 440    7.65153368   8.64389089   5.247302048 -18.00464513  -2.31043533
## 441   -1.98479874  -3.99137800  -2.070042746  -1.25816721  -5.65446189
## 442   -1.98479874  -3.99137800  -2.070042746  -1.25816721  -5.65446189
## 443   -1.98479874  -3.99137800  -2.070042746  -1.25816721  -5.65446189
## 444   -1.98479874  -3.99137800  -2.070042746  -1.25816721  -5.65446189
## 445   -1.98479874  -3.99137800  -2.070042746  -1.25816721  -5.65446189
## 446   -1.98479874  -3.99137800  -2.070042746  -1.25816721  -5.65446189
## 447   -1.98479874  -3.99137800  -2.070042746  -1.25816721  -5.65446189
## 448   -1.98479874  -3.99137800  -2.070042746  -1.25816721  -5.65446189
## 449    2.40921667   8.11580002   3.126849694 -12.00770532  -1.45884277
## 450    2.40921667   8.11580002   3.126849694 -12.00770532  -1.45884277
## 451    2.40921667   8.11580002   3.126849694 -12.00770532  -1.45884277
## 452    2.40921667   8.11580002   3.126849694 -12.00770532  -1.45884277
## 453    2.40921667   8.11580002   3.126849694 -12.00770532  -1.45884277
## 454    2.40921667   8.11580002   3.126849694 -12.00770532  -1.45884277
## 455    2.40921667   8.11580002   3.126849694 -12.00770532  -1.45884277
## 456    2.40921667   8.11580002   3.126849694 -12.00770532  -1.45884277
## 457  -15.34930450  11.53620923  -8.384318774  -9.13967897 -16.06337239
## 458  -15.34930450  11.53620923  -8.384318774  -9.13967897 -16.06337239
## 459  -15.34930450  11.53620923  -8.384318774  -9.13967897 -16.06337239
## 460  -15.34930450  11.53620923  -8.384318774  -9.13967897 -16.06337239
## 461  -15.34930450  11.53620923  -8.384318774  -9.13967897 -16.06337239
## 462  -15.34930450  11.53620923  -8.384318774  -9.13967897 -16.06337239
## 463  -15.34930450  11.53620923  -8.384318774  -9.13967897 -16.06337239
## 464  -15.34930450  11.53620923  -8.384318774  -9.13967897 -16.06337239
## 465   33.95078856  -0.77003531   5.747604828  -1.41052513  44.46505481
## 466   33.95078856  -0.77003531   5.747604828  -1.41052513  44.46505481
## 467   33.95078856  -0.77003531   5.747604828  -1.41052513  44.46505481
## 468   33.95078856  -0.77003531   5.747604828  -1.41052513  44.46505481
## 469   33.95078856  -0.77003531   5.747604828  -1.41052513  44.46505481
## 470   33.95078856  -0.77003531   5.747604828  -1.41052513  44.46505481
## 471   33.95078856  -0.77003531   5.747604828  -1.41052513  44.46505481
## 472   33.95078856  -0.77003531   5.747604828  -1.41052513  44.46505481
## 473   -7.15151010 -17.86835734  -0.376008540  -6.16743382  -0.23994422
## 474   -7.15151010 -17.86835734  -0.376008540  -6.16743382  -0.23994422
## 475   -7.15151010 -17.86835734  -0.376008540  -6.16743382  -0.23994422
## 476   -7.15151010 -17.86835734  -0.376008540  -6.16743382  -0.23994422
## 477   -7.15151010 -17.86835734  -0.376008540  -6.16743382  -0.23994422
## 478   -7.15151010 -17.86835734  -0.376008540  -6.16743382  -0.23994422
## 479   -7.15151010 -17.86835734  -0.376008540  -6.16743382  -0.23994422
## 480   -7.15151010 -17.86835734  -0.376008540  -6.16743382  -0.23994422
## 481   -1.34418795  13.20779630  -2.071307113  -2.69558595   4.63445725
## 482   -1.34418795  13.20779630  -2.071307113  -2.69558595   4.63445725
## 483   -1.34418795  13.20779630  -2.071307113  -2.69558595   4.63445725
## 484   -1.34418795  13.20779630  -2.071307113  -2.69558595   4.63445725
## 485   -1.34418795  13.20779630  -2.071307113  -2.69558595   4.63445725
## 486   -1.34418795  13.20779630  -2.071307113  -2.69558595   4.63445725
## 487   -1.34418795  13.20779630  -2.071307113  -2.69558595   4.63445725
## 488   -1.34418795  13.20779630  -2.071307113  -2.69558595   4.63445725
## 489   -2.95168077  -3.77705283   3.937452476   0.34888347   5.48627604
## 490   -2.95168077  -3.77705283   3.937452476   0.34888347   5.48627604
## 491   -2.95168077  -3.77705283   3.937452476   0.34888347   5.48627604
## 492   -2.95168077  -3.77705283   3.937452476   0.34888347   5.48627604
## 493   -2.95168077  -3.77705283   3.937452476   0.34888347   5.48627604
## 494   -2.95168077  -3.77705283   3.937452476   0.34888347   5.48627604
## 495   -2.95168077  -3.77705283   3.937452476   0.34888347   5.48627604
## 496   -2.95168077  -3.77705283   3.937452476   0.34888347   5.48627604
## 497    8.85273696  -1.23846374   0.481389874 -12.50118874   2.69411075
## 498    8.85273696  -1.23846374   0.481389874 -12.50118874   2.69411075
## 499    8.85273696  -1.23846374   0.481389874 -12.50118874   2.69411075
## 500    8.85273696  -1.23846374   0.481389874 -12.50118874   2.69411075
## 501    8.85273696  -1.23846374   0.481389874 -12.50118874   2.69411075
## 502    8.85273696  -1.23846374   0.481389874 -12.50118874   2.69411075
## 503    8.85273696  -1.23846374   0.481389874 -12.50118874   2.69411075
## 504    8.85273696  -1.23846374   0.481389874 -12.50118874   2.69411075
## 505   -4.02346974  -5.30683892   0.195705133   0.54787390   6.96437252
## 506   -4.02346974  -5.30683892   0.195705133   0.54787390   6.96437252
## 507   -4.02346974  -5.30683892   0.195705133   0.54787390   6.96437252
## 508   -4.02346974  -5.30683892   0.195705133   0.54787390   6.96437252
## 509   -4.02346974  -5.30683892   0.195705133   0.54787390   6.96437252
## 510   -4.02346974  -5.30683892   0.195705133   0.54787390   6.96437252
## 511   -4.02346974  -5.30683892   0.195705133   0.54787390   6.96437252
## 512   -4.02346974  -5.30683892   0.195705133   0.54787390   6.96437252
## 513   10.48081610   0.44864596   1.831579696  -3.88018121 -22.83678157
## 514   10.48081610   0.44864596   1.831579696  -3.88018121 -22.83678157
## 515   10.48081610   0.44864596   1.831579696  -3.88018121 -22.83678157
## 516   10.48081610   0.44864596   1.831579696  -3.88018121 -22.83678157
## 517   10.48081610   0.44864596   1.831579696  -3.88018121 -22.83678157
## 518   10.48081610   0.44864596   1.831579696  -3.88018121 -22.83678157
## 519   10.48081610   0.44864596   1.831579696  -3.88018121 -22.83678157
## 520   10.48081610   0.44864596   1.831579696  -3.88018121 -22.83678157
## 521   32.62671050  -5.39095525   9.170075241   3.26621040   9.90750997
## 522   32.62671050  -5.39095525   9.170075241   3.26621040   9.90750997
## 523   32.62671050  -5.39095525   9.170075241   3.26621040   9.90750997
## 524   32.62671050  -5.39095525   9.170075241   3.26621040   9.90750997
## 525   32.62671050  -5.39095525   9.170075241   3.26621040   9.90750997
## 526   32.62671050  -5.39095525   9.170075241   3.26621040   9.90750997
## 527   32.62671050  -5.39095525   9.170075241   3.26621040   9.90750997
## 528   32.62671050  -5.39095525   9.170075241   3.26621040   9.90750997
## 529  -10.00206035 -10.64702403  -5.106308208  -1.07800396   2.13433044
## 530  -10.00206035 -10.64702403  -5.106308208  -1.07800396   2.13433044
## 531  -10.00206035 -10.64702403  -5.106308208  -1.07800396   2.13433044
## 532  -10.00206035 -10.64702403  -5.106308208  -1.07800396   2.13433044
## 533  -10.00206035 -10.64702403  -5.106308208  -1.07800396   2.13433044
## 534  -10.00206035 -10.64702403  -5.106308208  -1.07800396   2.13433044
## 535  -10.00206035 -10.64702403  -5.106308208  -1.07800396   2.13433044
## 536  -10.00206035 -10.64702403  -5.106308208  -1.07800396   2.13433044
## 537  -13.58544030  10.57993795  16.874375165   5.45246949  32.15759708
## 538  -13.58544030  10.57993795  16.874375165   5.45246949  32.15759708
## 539  -13.58544030  10.57993795  16.874375165   5.45246949  32.15759708
## 540  -13.58544030  10.57993795  16.874375165   5.45246949  32.15759708
## 541  -13.58544030  10.57993795  16.874375165   5.45246949  32.15759708
## 542  -13.58544030  10.57993795  16.874375165   5.45246949  32.15759708
## 543  -13.58544030  10.57993795  16.874375165   5.45246949  32.15759708
## 544  -13.58544030  10.57993795  16.874375165   5.45246949  32.15759708
## 545   -6.63029283   2.66472521   8.264274568   2.48814692   3.81742861
## 546   -6.63029283   2.66472521   8.264274568   2.48814692   3.81742861
## 547   -6.63029283   2.66472521   8.264274568   2.48814692   3.81742861
## 548   -6.63029283   2.66472521   8.264274568   2.48814692   3.81742861
## 549   -6.63029283   2.66472521   8.264274568   2.48814692   3.81742861
## 550   -6.63029283   2.66472521   8.264274568   2.48814692   3.81742861
## 551   -6.63029283   2.66472521   8.264274568   2.48814692   3.81742861
## 552   -6.63029283   2.66472521   8.264274568   2.48814692   3.81742861
## 553    1.97878567  -9.06444768  -3.810943986   2.23178320   1.89269324
## 554    1.97878567  -9.06444768  -3.810943986   2.23178320   1.89269324
## 555    1.97878567  -9.06444768  -3.810943986   2.23178320   1.89269324
## 556    1.97878567  -9.06444768  -3.810943986   2.23178320   1.89269324
## 557    1.97878567  -9.06444768  -3.810943986   2.23178320   1.89269324
## 558    1.97878567  -9.06444768  -3.810943986   2.23178320   1.89269324
## 559    1.97878567  -9.06444768  -3.810943986   2.23178320   1.89269324
## 560    1.97878567  -9.06444768  -3.810943986   2.23178320   1.89269324
## 561    1.10318545   6.07021445 -52.150247466  11.36429893  -6.10147296
## 562    1.10318545   6.07021445 -52.150247466  11.36429893  -6.10147296
## 563    1.10318545   6.07021445 -52.150247466  11.36429893  -6.10147296
## 564    1.10318545   6.07021445 -52.150247466  11.36429893  -6.10147296
## 565    1.10318545   6.07021445 -52.150247466  11.36429893  -6.10147296
## 566    1.10318545   6.07021445 -52.150247466  11.36429893  -6.10147296
## 567    1.10318545   6.07021445 -52.150247466  11.36429893  -6.10147296
## 568    1.10318545   6.07021445 -52.150247466  11.36429893  -6.10147296
## 569   -1.17476408   6.42873515   3.579499066   4.06528505  -4.91826038
## 570   -1.17476408   6.42873515   3.579499066   4.06528505  -4.91826038
## 571   -1.17476408   6.42873515   3.579499066   4.06528505  -4.91826038
## 572   -1.17476408   6.42873515   3.579499066   4.06528505  -4.91826038
## 573   -1.17476408   6.42873515   3.579499066   4.06528505  -4.91826038
## 574   -1.17476408   6.42873515   3.579499066   4.06528505  -4.91826038
## 575   -1.17476408   6.42873515   3.579499066   4.06528505  -4.91826038
## 576   -1.17476408   6.42873515   3.579499066   4.06528505  -4.91826038
## 577    8.08393639   0.05598154  51.736178962  44.86726025  -4.41994544
## 578    8.08393639   0.05598154  51.736178962  44.86726025  -4.41994544
## 579    8.08393639   0.05598154  51.736178962  44.86726025  -4.41994544
## 580    8.08393639   0.05598154  51.736178962  44.86726025  -4.41994544
## 581    8.08393639   0.05598154  51.736178962  44.86726025  -4.41994544
## 582    8.08393639   0.05598154  51.736178962  44.86726025  -4.41994544
## 583    8.08393639   0.05598154  51.736178962  44.86726025  -4.41994544
## 584    8.08393639   0.05598154  51.736178962  44.86726025  -4.41994544
## 585    0.57973596  -7.60253147   0.468201417   1.63807108   2.57034307
## 586    0.57973596  -7.60253147   0.468201417   1.63807108   2.57034307
## 587    0.57973596  -7.60253147   0.468201417   1.63807108   2.57034307
## 588    0.57973596  -7.60253147   0.468201417   1.63807108   2.57034307
## 589    0.57973596  -7.60253147   0.468201417   1.63807108   2.57034307
## 590    0.57973596  -7.60253147   0.468201417   1.63807108   2.57034307
## 591    0.57973596  -7.60253147   0.468201417   1.63807108   2.57034307
## 592    0.57973596  -7.60253147   0.468201417   1.63807108   2.57034307
## 593   -1.42711799  -4.78414633   0.424306765  -2.56226357  -1.83639472
## 594   -1.42711799  -4.78414633   0.424306765  -2.56226357  -1.83639472
## 595   -1.42711799  -4.78414633   0.424306765  -2.56226357  -1.83639472
## 596   -1.42711799  -4.78414633   0.424306765  -2.56226357  -1.83639472
## 597   -1.42711799  -4.78414633   0.424306765  -2.56226357  -1.83639472
## 598   -1.42711799  -4.78414633   0.424306765  -2.56226357  -1.83639472
## 599   -1.42711799  -4.78414633   0.424306765  -2.56226357  -1.83639472
## 600   -1.42711799  -4.78414633   0.424306765  -2.56226357  -1.83639472
## 601    2.98473053   6.09944525   6.104087695  28.34269059  -3.30060094
## 602    2.98473053   6.09944525   6.104087695  28.34269059  -3.30060094
## 603    2.98473053   6.09944525   6.104087695  28.34269059  -3.30060094
## 604    2.98473053   6.09944525   6.104087695  28.34269059  -3.30060094
## 605    2.98473053   6.09944525   6.104087695  28.34269059  -3.30060094
## 606    2.98473053   6.09944525   6.104087695  28.34269059  -3.30060094
## 607    2.98473053   6.09944525   6.104087695  28.34269059  -3.30060094
## 608    2.98473053   6.09944525   6.104087695  28.34269059  -3.30060094
## 609   -4.63248142   6.14228760  -1.274955022   3.16878482   1.44418158
## 610   -4.63248142   6.14228760  -1.274955022   3.16878482   1.44418158
## 611   -4.63248142   6.14228760  -1.274955022   3.16878482   1.44418158
## 612   -4.63248142   6.14228760  -1.274955022   3.16878482   1.44418158
## 613   -4.63248142   6.14228760  -1.274955022   3.16878482   1.44418158
## 614   -4.63248142   6.14228760  -1.274955022   3.16878482   1.44418158
## 615   -4.63248142   6.14228760  -1.274955022   3.16878482   1.44418158
## 616   -4.63248142   6.14228760  -1.274955022   3.16878482   1.44418158
## 617    2.05328076   6.29201516  14.451994437 -13.80773988  22.19518848
## 618    2.05328076   6.29201516  14.451994437 -13.80773988  22.19518848
## 619    2.05328076   6.29201516  14.451994437 -13.80773988  22.19518848
## 620    2.05328076   6.29201516  14.451994437 -13.80773988  22.19518848
## 621    2.05328076   6.29201516  14.451994437 -13.80773988  22.19518848
## 622    2.05328076   6.29201516  14.451994437 -13.80773988  22.19518848
## 623    2.05328076   6.29201516  14.451994437 -13.80773988  22.19518848
## 624    2.05328076   6.29201516  14.451994437 -13.80773988  22.19518848
## 625   -1.96010817  10.75470073   9.238595823   3.67939501  16.66383238
## 626   -1.96010817  10.75470073   9.238595823   3.67939501  16.66383238
## 627   -1.96010817  10.75470073   9.238595823   3.67939501  16.66383238
## 628   -1.96010817  10.75470073   9.238595823   3.67939501  16.66383238
## 629   -1.96010817  10.75470073   9.238595823   3.67939501  16.66383238
## 630   -1.96010817  10.75470073   9.238595823   3.67939501  16.66383238
## 631   -1.96010817  10.75470073   9.238595823   3.67939501  16.66383238
## 632   -1.96010817  10.75470073   9.238595823   3.67939501  16.66383238
## 633   -0.40605844   3.59323430  -0.525687860  17.36226958  -0.35508870
## 634   -0.40605844   3.59323430  -0.525687860  17.36226958  -0.35508870
## 635   -0.40605844   3.59323430  -0.525687860  17.36226958  -0.35508870
## 636   -0.40605844   3.59323430  -0.525687860  17.36226958  -0.35508870
## 637   -0.40605844   3.59323430  -0.525687860  17.36226958  -0.35508870
## 638   -0.40605844   3.59323430  -0.525687860  17.36226958  -0.35508870
## 639   -0.40605844   3.59323430  -0.525687860  17.36226958  -0.35508870
## 640   -0.40605844   3.59323430  -0.525687860  17.36226958  -0.35508870
## 641    0.26749967 -10.96379648   0.120613646   0.36655631  -1.71127460
## 642    0.26749967 -10.96379648   0.120613646   0.36655631  -1.71127460
## 643    0.26749967 -10.96379648   0.120613646   0.36655631  -1.71127460
## 644    0.26749967 -10.96379648   0.120613646   0.36655631  -1.71127460
## 645    0.26749967 -10.96379648   0.120613646   0.36655631  -1.71127460
## 646    0.26749967 -10.96379648   0.120613646   0.36655631  -1.71127460
## 647    0.26749967 -10.96379648   0.120613646   0.36655631  -1.71127460
## 648    0.26749967 -10.96379648   0.120613646   0.36655631  -1.71127460
## 649   19.08249438  15.76645465 -35.179004748  -5.83429971   0.66727675
## 650   19.08249438  15.76645465 -35.179004748  -5.83429971   0.66727675
## 651   19.08249438  15.76645465 -35.179004748  -5.83429971   0.66727675
## 652   19.08249438  15.76645465 -35.179004748  -5.83429971   0.66727675
## 653   19.08249438  15.76645465 -35.179004748  -5.83429971   0.66727675
## 654   19.08249438  15.76645465 -35.179004748  -5.83429971   0.66727675
## 655   19.08249438  15.76645465 -35.179004748  -5.83429971   0.66727675
## 656   19.08249438  15.76645465 -35.179004748  -5.83429971   0.66727675
## 657   13.38566206  26.48810685  -7.848984695   3.53524253 -18.45431269
## 658   13.38566206  26.48810685  -7.848984695   3.53524253 -18.45431269
## 659   13.38566206  26.48810685  -7.848984695   3.53524253 -18.45431269
## 660   13.38566206  26.48810685  -7.848984695   3.53524253 -18.45431269
## 661   13.38566206  26.48810685  -7.848984695   3.53524253 -18.45431269
## 662   13.38566206  26.48810685  -7.848984695   3.53524253 -18.45431269
## 663   13.38566206  26.48810685  -7.848984695   3.53524253 -18.45431269
## 664   13.38566206  26.48810685  -7.848984695   3.53524253 -18.45431269
## 665   -5.63754512  -4.13382349  -1.867938732   3.56814662   3.95589008
## 666   -5.63754512  -4.13382349  -1.867938732   3.56814662   3.95589008
## 667   -5.63754512  -4.13382349  -1.867938732   3.56814662   3.95589008
## 668   -5.63754512  -4.13382349  -1.867938732   3.56814662   3.95589008
## 669   -5.63754512  -4.13382349  -1.867938732   3.56814662   3.95589008
## 670   -5.63754512  -4.13382349  -1.867938732   3.56814662   3.95589008
## 671   -5.63754512  -4.13382349  -1.867938732   3.56814662   3.95589008
## 672   -5.63754512  -4.13382349  -1.867938732   3.56814662   3.95589008
## 673   -4.12715659   7.93469159  -4.907375126   5.84980610  -6.98608445
## 674   -4.12715659   7.93469159  -4.907375126   5.84980610  -6.98608445
## 675   -4.12715659   7.93469159  -4.907375126   5.84980610  -6.98608445
## 676   -4.12715659   7.93469159  -4.907375126   5.84980610  -6.98608445
## 677   -4.12715659   7.93469159  -4.907375126   5.84980610  -6.98608445
## 678   -4.12715659   7.93469159  -4.907375126   5.84980610  -6.98608445
## 679   -4.12715659   7.93469159  -4.907375126   5.84980610  -6.98608445
## 680   -4.12715659   7.93469159  -4.907375126   5.84980610  -6.98608445
## 681   -3.31205956 -11.76399082  -1.267467751   0.24268403   5.53129566
## 682   -3.31205956 -11.76399082  -1.267467751   0.24268403   5.53129566
## 683   -3.31205956 -11.76399082  -1.267467751   0.24268403   5.53129566
## 684   -3.31205956 -11.76399082  -1.267467751   0.24268403   5.53129566
## 685   -3.31205956 -11.76399082  -1.267467751   0.24268403   5.53129566
## 686   -3.31205956 -11.76399082  -1.267467751   0.24268403   5.53129566
## 687   -3.31205956 -11.76399082  -1.267467751   0.24268403   5.53129566
## 688   -3.31205956 -11.76399082  -1.267467751   0.24268403   5.53129566
## 689   -6.35058051   2.96176509   0.522014327  11.47208337  -1.13671800
## 690   -6.35058051   2.96176509   0.522014327  11.47208337  -1.13671800
## 691   -6.35058051   2.96176509   0.522014327  11.47208337  -1.13671800
## 692   -6.35058051   2.96176509   0.522014327  11.47208337  -1.13671800
## 693   -6.35058051   2.96176509   0.522014327  11.47208337  -1.13671800
## 694   -6.35058051   2.96176509   0.522014327  11.47208337  -1.13671800
## 695   -6.35058051   2.96176509   0.522014327  11.47208337  -1.13671800
## 696   -6.35058051   2.96176509   0.522014327  11.47208337  -1.13671800
## 697   15.04224376  28.92623098  -0.763108506 -15.01210296   5.61252275
## 698   15.04224376  28.92623098  -0.763108506 -15.01210296   5.61252275
## 699   15.04224376  28.92623098  -0.763108506 -15.01210296   5.61252275
## 700   15.04224376  28.92623098  -0.763108506 -15.01210296   5.61252275
## 701   15.04224376  28.92623098  -0.763108506 -15.01210296   5.61252275
## 702   15.04224376  28.92623098  -0.763108506 -15.01210296   5.61252275
## 703   15.04224376  28.92623098  -0.763108506 -15.01210296   5.61252275
## 704   15.04224376  28.92623098  -0.763108506 -15.01210296   5.61252275
## 705   -0.72540655   3.99549615   6.954306624   1.51268542  -0.55761806
## 706   -0.72540655   3.99549615   6.954306624   1.51268542  -0.55761806
## 707   -0.72540655   3.99549615   6.954306624   1.51268542  -0.55761806
## 708   -0.72540655   3.99549615   6.954306624   1.51268542  -0.55761806
## 709   -0.72540655   3.99549615   6.954306624   1.51268542  -0.55761806
## 710   -0.72540655   3.99549615   6.954306624   1.51268542  -0.55761806
## 711   -0.72540655   3.99549615   6.954306624   1.51268542  -0.55761806
## 712   -0.72540655   3.99549615   6.954306624   1.51268542  -0.55761806
## 713    5.00701276   4.17946203  16.389379944  -1.94519508  -0.84546757
## 714    5.00701276   4.17946203  16.389379944  -1.94519508  -0.84546757
## 715    5.00701276   4.17946203  16.389379944  -1.94519508  -0.84546757
## 716    5.00701276   4.17946203  16.389379944  -1.94519508  -0.84546757
## 717    5.00701276   4.17946203  16.389379944  -1.94519508  -0.84546757
## 718    5.00701276   4.17946203  16.389379944  -1.94519508  -0.84546757
## 719    5.00701276   4.17946203  16.389379944  -1.94519508  -0.84546757
## 720    5.00701276   4.17946203  16.389379944  -1.94519508  -0.84546757
## 721    1.14911766   3.06367154  17.509672185  -3.79646987  -2.06142067
## 722    1.14911766   3.06367154  17.509672185  -3.79646987  -2.06142067
## 723    1.14911766   3.06367154  17.509672185  -3.79646987  -2.06142067
## 724    1.14911766   3.06367154  17.509672185  -3.79646987  -2.06142067
## 725    1.14911766   3.06367154  17.509672185  -3.79646987  -2.06142067
## 726    1.14911766   3.06367154  17.509672185  -3.79646987  -2.06142067
## 727    1.14911766   3.06367154  17.509672185  -3.79646987  -2.06142067
## 728    1.14911766   3.06367154  17.509672185  -3.79646987  -2.06142067
## 729    1.44259783  -0.31656471   0.685705854   3.92237784  -2.87243617
## 730    1.44259783  -0.31656471   0.685705854   3.92237784  -2.87243617
## 731    1.44259783  -0.31656471   0.685705854   3.92237784  -2.87243617
## 732    1.44259783  -0.31656471   0.685705854   3.92237784  -2.87243617
## 733    1.44259783  -0.31656471   0.685705854   3.92237784  -2.87243617
## 734    1.44259783  -0.31656471   0.685705854   3.92237784  -2.87243617
## 735    1.44259783  -0.31656471   0.685705854   3.92237784  -2.87243617
## 736    1.44259783  -0.31656471   0.685705854   3.92237784  -2.87243617
## 737   -4.30996361   9.44557083 -26.639566906  14.66170245   0.78712882
## 738   -4.30996361   9.44557083 -26.639566906  14.66170245   0.78712882
## 739   -4.30996361   9.44557083 -26.639566906  14.66170245   0.78712882
## 740   -4.30996361   9.44557083 -26.639566906  14.66170245   0.78712882
## 741   -4.30996361   9.44557083 -26.639566906  14.66170245   0.78712882
## 742   -4.30996361   9.44557083 -26.639566906  14.66170245   0.78712882
## 743   -4.30996361   9.44557083 -26.639566906  14.66170245   0.78712882
## 744   -4.30996361   9.44557083 -26.639566906  14.66170245   0.78712882
## 745    5.65695374   3.34267863 -30.582658769  12.79986830   4.21271241
## 746    5.65695374   3.34267863 -30.582658769  12.79986830   4.21271241
## 747    5.65695374   3.34267863 -30.582658769  12.79986830   4.21271241
## 748    5.65695374   3.34267863 -30.582658769  12.79986830   4.21271241
## 749    5.65695374   3.34267863 -30.582658769  12.79986830   4.21271241
## 750    5.65695374   3.34267863 -30.582658769  12.79986830   4.21271241
## 751    5.65695374   3.34267863 -30.582658769  12.79986830   4.21271241
## 752    5.65695374   3.34267863 -30.582658769  12.79986830   4.21271241
## 753   -2.68101782   6.90945684  25.893702279 -34.48639372 -10.37819147
## 754   -2.68101782   6.90945684  25.893702279 -34.48639372 -10.37819147
## 755   -2.68101782   6.90945684  25.893702279 -34.48639372 -10.37819147
## 756   -2.68101782   6.90945684  25.893702279 -34.48639372 -10.37819147
## 757   -2.68101782   6.90945684  25.893702279 -34.48639372 -10.37819147
## 758   -2.68101782   6.90945684  25.893702279 -34.48639372 -10.37819147
## 759   -2.68101782   6.90945684  25.893702279 -34.48639372 -10.37819147
## 760   -2.68101782   6.90945684  25.893702279 -34.48639372 -10.37819147
## 761  -10.92240288  11.14366763   8.892804609   6.11223694  -2.05791219
## 762  -10.92240288  11.14366763   8.892804609   6.11223694  -2.05791219
## 763  -10.92240288  11.14366763   8.892804609   6.11223694  -2.05791219
## 764  -10.92240288  11.14366763   8.892804609   6.11223694  -2.05791219
## 765  -10.92240288  11.14366763   8.892804609   6.11223694  -2.05791219
## 766  -10.92240288  11.14366763   8.892804609   6.11223694  -2.05791219
## 767  -10.92240288  11.14366763   8.892804609   6.11223694  -2.05791219
## 768  -10.92240288  11.14366763   8.892804609   6.11223694  -2.05791219
## 769    4.10668210   4.84592926 -11.480775148   2.88647212   4.43495572
## 770    4.10668210   4.84592926 -11.480775148   2.88647212   4.43495572
## 771    4.10668210   4.84592926 -11.480775148   2.88647212   4.43495572
## 772    4.10668210   4.84592926 -11.480775148   2.88647212   4.43495572
## 773    4.10668210   4.84592926 -11.480775148   2.88647212   4.43495572
## 774    4.10668210   4.84592926 -11.480775148   2.88647212   4.43495572
## 775    4.10668210   4.84592926 -11.480775148   2.88647212   4.43495572
## 776    4.10668210   4.84592926 -11.480775148   2.88647212   4.43495572
## 777   27.44093329   8.34675720 -17.806291721 -13.33071813  12.34144227
## 778   27.44093329   8.34675720 -17.806291721 -13.33071813  12.34144227
## 779   27.44093329   8.34675720 -17.806291721 -13.33071813  12.34144227
## 780   27.44093329   8.34675720 -17.806291721 -13.33071813  12.34144227
## 781   27.44093329   8.34675720 -17.806291721 -13.33071813  12.34144227
## 782   27.44093329   8.34675720 -17.806291721 -13.33071813  12.34144227
## 783   27.44093329   8.34675720 -17.806291721 -13.33071813  12.34144227
## 784   27.44093329   8.34675720 -17.806291721 -13.33071813  12.34144227
## 785   -0.85559543   4.87776753  -0.514353329  -1.17087789  -4.44385407
## 786   -0.85559543   4.87776753  -0.514353329  -1.17087789  -4.44385407
## 787   -0.85559543   4.87776753  -0.514353329  -1.17087789  -4.44385407
## 788   -0.85559543   4.87776753  -0.514353329  -1.17087789  -4.44385407
## 789   -0.85559543   4.87776753  -0.514353329  -1.17087789  -4.44385407
## 790   -0.85559543   4.87776753  -0.514353329  -1.17087789  -4.44385407
## 791   -0.85559543   4.87776753  -0.514353329  -1.17087789  -4.44385407
## 792   -0.85559543   4.87776753  -0.514353329  -1.17087789  -4.44385407
## 793   16.55992593   2.13001687  -5.925273003  -4.13983456  -3.62694789
## 794   16.55992593   2.13001687  -5.925273003  -4.13983456  -3.62694789
## 795   16.55992593   2.13001687  -5.925273003  -4.13983456  -3.62694789
## 796   16.55992593   2.13001687  -5.925273003  -4.13983456  -3.62694789
## 797   16.55992593   2.13001687  -5.925273003  -4.13983456  -3.62694789
## 798   16.55992593   2.13001687  -5.925273003  -4.13983456  -3.62694789
## 799   16.55992593   2.13001687  -5.925273003  -4.13983456  -3.62694789
## 800   16.55992593   2.13001687  -5.925273003  -4.13983456  -3.62694789
## 801    0.03190206   5.60862723  -5.245408331  -0.80774664   3.05244564
## 802    0.03190206   5.60862723  -5.245408331  -0.80774664   3.05244564
## 803    0.03190206   5.60862723  -5.245408331  -0.80774664   3.05244564
## 804    0.03190206   5.60862723  -5.245408331  -0.80774664   3.05244564
## 805    0.03190206   5.60862723  -5.245408331  -0.80774664   3.05244564
## 806    0.03190206   5.60862723  -5.245408331  -0.80774664   3.05244564
## 807    0.03190206   5.60862723  -5.245408331  -0.80774664   3.05244564
## 808    0.03190206   5.60862723  -5.245408331  -0.80774664   3.05244564
## 809   -4.13002110   6.75623183   4.760202971  64.26899155  -5.81058456
## 810   -4.13002110   6.75623183   4.760202971  64.26899155  -5.81058456
## 811   -4.13002110   6.75623183   4.760202971  64.26899155  -5.81058456
## 812   -4.13002110   6.75623183   4.760202971  64.26899155  -5.81058456
## 813   -4.13002110   6.75623183   4.760202971  64.26899155  -5.81058456
## 814   -4.13002110   6.75623183   4.760202971  64.26899155  -5.81058456
## 815   -4.13002110   6.75623183   4.760202971  64.26899155  -5.81058456
## 816   -4.13002110   6.75623183   4.760202971  64.26899155  -5.81058456
## 817   -0.56596423   7.42839197   0.528822640  -1.67107781  -0.15734920
## 818   -0.56596423   7.42839197   0.528822640  -1.67107781  -0.15734920
## 819   -0.56596423   7.42839197   0.528822640  -1.67107781  -0.15734920
## 820   -0.56596423   7.42839197   0.528822640  -1.67107781  -0.15734920
## 821   -0.56596423   7.42839197   0.528822640  -1.67107781  -0.15734920
## 822   -0.56596423   7.42839197   0.528822640  -1.67107781  -0.15734920
## 823   -0.56596423   7.42839197   0.528822640  -1.67107781  -0.15734920
## 824   -0.56596423   7.42839197   0.528822640  -1.67107781  -0.15734920
## 825  -15.53572663 -84.76238032  -7.271452059  -0.22980504   9.21485746
## 826  -15.53572663 -84.76238032  -7.271452059  -0.22980504   9.21485746
## 827  -15.53572663 -84.76238032  -7.271452059  -0.22980504   9.21485746
## 828  -15.53572663 -84.76238032  -7.271452059  -0.22980504   9.21485746
## 829  -15.53572663 -84.76238032  -7.271452059  -0.22980504   9.21485746
## 830  -15.53572663 -84.76238032  -7.271452059  -0.22980504   9.21485746
## 831  -15.53572663 -84.76238032  -7.271452059  -0.22980504   9.21485746
## 832  -15.53572663 -84.76238032  -7.271452059  -0.22980504   9.21485746
## 833   -9.06592810  11.35146782 -12.472534891  -8.25301848  -8.51293202
## 834   -9.06592810  11.35146782 -12.472534891  -8.25301848  -8.51293202
## 835   -9.06592810  11.35146782 -12.472534891  -8.25301848  -8.51293202
## 836   -9.06592810  11.35146782 -12.472534891  -8.25301848  -8.51293202
## 837   -9.06592810  11.35146782 -12.472534891  -8.25301848  -8.51293202
## 838   -9.06592810  11.35146782 -12.472534891  -8.25301848  -8.51293202
## 839   -9.06592810  11.35146782 -12.472534891  -8.25301848  -8.51293202
## 840   -9.06592810  11.35146782 -12.472534891  -8.25301848  -8.51293202
## 841  -22.20473436   7.99062526   0.100201031   1.45985369   1.30987089
## 842  -22.20473436   7.99062526   0.100201031   1.45985369   1.30987089
## 843  -22.20473436   7.99062526   0.100201031   1.45985369   1.30987089
## 844  -22.20473436   7.99062526   0.100201031   1.45985369   1.30987089
## 845  -22.20473436   7.99062526   0.100201031   1.45985369   1.30987089
## 846  -22.20473436   7.99062526   0.100201031   1.45985369   1.30987089
## 847  -22.20473436   7.99062526   0.100201031   1.45985369   1.30987089
## 848  -22.20473436   7.99062526   0.100201031   1.45985369   1.30987089
## 849    7.80737888  20.69821138   6.739241072   3.22589242   2.62805416
## 850    7.80737888  20.69821138   6.739241072   3.22589242   2.62805416
## 851    7.80737888  20.69821138   6.739241072   3.22589242   2.62805416
## 852    7.80737888  20.69821138   6.739241072   3.22589242   2.62805416
## 853    7.80737888  20.69821138   6.739241072   3.22589242   2.62805416
## 854    7.80737888  20.69821138   6.739241072   3.22589242   2.62805416
## 855    7.80737888  20.69821138   6.739241072   3.22589242   2.62805416
## 856    7.80737888  20.69821138   6.739241072   3.22589242   2.62805416
## 857    4.42001426 -61.20209936   5.609070142   1.47676264 -10.98352681
## 858    4.42001426 -61.20209936   5.609070142   1.47676264 -10.98352681
## 859    4.42001426 -61.20209936   5.609070142   1.47676264 -10.98352681
## 860    4.42001426 -61.20209936   5.609070142   1.47676264 -10.98352681
## 861    4.42001426 -61.20209936   5.609070142   1.47676264 -10.98352681
## 862    4.42001426 -61.20209936   5.609070142   1.47676264 -10.98352681
## 863    4.42001426 -61.20209936   5.609070142   1.47676264 -10.98352681
## 864    4.42001426 -61.20209936   5.609070142   1.47676264 -10.98352681
## 865    1.19885538   2.04009071   3.055004165  -0.52288054  -3.21668329
## 866    1.19885538   2.04009071   3.055004165  -0.52288054  -3.21668329
## 867    1.19885538   2.04009071   3.055004165  -0.52288054  -3.21668329
## 868    1.19885538   2.04009071   3.055004165  -0.52288054  -3.21668329
## 869    1.19885538   2.04009071   3.055004165  -0.52288054  -3.21668329
## 870    1.19885538   2.04009071   3.055004165  -0.52288054  -3.21668329
## 871    1.19885538   2.04009071   3.055004165  -0.52288054  -3.21668329
## 872    1.19885538   2.04009071   3.055004165  -0.52288054  -3.21668329
## 873    1.92357206  -4.34100709  -0.940533489  -6.55416866  -2.74877279
## 874    1.92357206  -4.34100709  -0.940533489  -6.55416866  -2.74877279
## 875    1.92357206  -4.34100709  -0.940533489  -6.55416866  -2.74877279
## 876    1.92357206  -4.34100709  -0.940533489  -6.55416866  -2.74877279
## 877    1.92357206  -4.34100709  -0.940533489  -6.55416866  -2.74877279
## 878    1.92357206  -4.34100709  -0.940533489  -6.55416866  -2.74877279
## 879    1.92357206  -4.34100709  -0.940533489  -6.55416866  -2.74877279
## 880    1.92357206  -4.34100709  -0.940533489  -6.55416866  -2.74877279
## 881   -1.23803000   0.77739220  -1.393332276  13.11704470  -7.35633806
## 882   -1.23803000   0.77739220  -1.393332276  13.11704470  -7.35633806
## 883   -1.23803000   0.77739220  -1.393332276  13.11704470  -7.35633806
## 884   -1.23803000   0.77739220  -1.393332276  13.11704470  -7.35633806
## 885   -1.23803000   0.77739220  -1.393332276  13.11704470  -7.35633806
## 886   -1.23803000   0.77739220  -1.393332276  13.11704470  -7.35633806
## 887   -1.23803000   0.77739220  -1.393332276  13.11704470  -7.35633806
## 888   -1.23803000   0.77739220  -1.393332276  13.11704470  -7.35633806
## 889  -28.24113570  11.88398196  23.203833430 -12.25217648  -4.88393103
## 890  -28.24113570  11.88398196  23.203833430 -12.25217648  -4.88393103
## 891  -28.24113570  11.88398196  23.203833430 -12.25217648  -4.88393103
## 892  -28.24113570  11.88398196  23.203833430 -12.25217648  -4.88393103
## 893  -28.24113570  11.88398196  23.203833430 -12.25217648  -4.88393103
## 894  -28.24113570  11.88398196  23.203833430 -12.25217648  -4.88393103
## 895  -28.24113570  11.88398196  23.203833430 -12.25217648  -4.88393103
## 896  -28.24113570  11.88398196  23.203833430 -12.25217648  -4.88393103
## 897    0.86126799  -1.69066568  -0.597317754  -2.94084049  -0.69272294
## 898    0.86126799  -1.69066568  -0.597317754  -2.94084049  -0.69272294
## 899    0.86126799  -1.69066568  -0.597317754  -2.94084049  -0.69272294
## 900    0.86126799  -1.69066568  -0.597317754  -2.94084049  -0.69272294
## 901    0.86126799  -1.69066568  -0.597317754  -2.94084049  -0.69272294
## 902    0.86126799  -1.69066568  -0.597317754  -2.94084049  -0.69272294
## 903    0.86126799  -1.69066568  -0.597317754  -2.94084049  -0.69272294
## 904    0.86126799  -1.69066568  -0.597317754  -2.94084049  -0.69272294
## 905    0.20149272  14.84039709   4.207113700 -22.95804750   5.17659207
## 906    0.20149272  14.84039709   4.207113700 -22.95804750   5.17659207
## 907    0.20149272  14.84039709   4.207113700 -22.95804750   5.17659207
## 908    0.20149272  14.84039709   4.207113700 -22.95804750   5.17659207
## 909    0.20149272  14.84039709   4.207113700 -22.95804750   5.17659207
## 910    0.20149272  14.84039709   4.207113700 -22.95804750   5.17659207
## 911    0.20149272  14.84039709   4.207113700 -22.95804750   5.17659207
## 912    0.20149272  14.84039709   4.207113700 -22.95804750   5.17659207
## 913    1.08806895  -2.68139130   0.469857125  -0.08945028  -2.99056990
## 914    1.08806895  -2.68139130   0.469857125  -0.08945028  -2.99056990
## 915    1.08806895  -2.68139130   0.469857125  -0.08945028  -2.99056990
## 916    1.08806895  -2.68139130   0.469857125  -0.08945028  -2.99056990
## 917    1.08806895  -2.68139130   0.469857125  -0.08945028  -2.99056990
## 918    2.99487467  -0.20208912   2.078508307   3.23956825   4.08704489
## 919    2.99487467  -0.20208912   2.078508307   3.23956825   4.08704489
## 920    2.99487467  -0.20208912   2.078508307   3.23956825   4.08704489
## 921    2.99487467  -0.20208912   2.078508307   3.23956825   4.08704489
## 922    2.99487467  -0.20208912   2.078508307   3.23956825   4.08704489
## 923            NA           NA            NA           NA           NA
## 924            NA           NA            NA           NA           NA
## 925            NA           NA            NA           NA           NA
## 926            NA           NA            NA           NA           NA
## 927            NA           NA            NA           NA           NA
## 928            NA           NA            NA           NA           NA
## 929            NA           NA            NA           NA           NA
## 930            NA           NA            NA           NA           NA
## 931            NA           NA            NA           NA           NA
## 932            NA           NA            NA           NA           NA
## 933            NA           NA            NA           NA           NA
## 934            NA           NA            NA           NA           NA
## 935            NA           NA            NA           NA           NA
## 936            NA           NA            NA           NA           NA
## 937            NA           NA            NA           NA           NA
## 938   -8.64936185  -2.92318752  -5.305739186  -3.17905583  -5.96100438
## 939   -8.64936185  -2.92318752  -5.305739186  -3.17905583  -5.96100438
## 940   -8.64936185  -2.92318752  -5.305739186  -3.17905583  -5.96100438
## 941   -8.64936185  -2.92318752  -5.305739186  -3.17905583  -5.96100438
## 942   -8.64936185  -2.92318752  -5.305739186  -3.17905583  -5.96100438
## 943            NA           NA            NA           NA           NA
## 944            NA           NA            NA           NA           NA
## 945            NA           NA            NA           NA           NA
## 946            NA           NA            NA           NA           NA
## 947            NA           NA            NA           NA           NA
## 948            NA           NA            NA           NA           NA
## 949            NA           NA            NA           NA           NA
## 950            NA           NA            NA           NA           NA
## 951            NA           NA            NA           NA           NA
## 952            NA           NA            NA           NA           NA
## 953   -8.05456198 -10.16019259  -2.037459997  12.17501420  -4.42552512
## 954   -8.05456198 -10.16019259  -2.037459997  12.17501420  -4.42552512
## 955   -8.05456198 -10.16019259  -2.037459997  12.17501420  -4.42552512
## 956   -8.05456198 -10.16019259  -2.037459997  12.17501420  -4.42552512
## 957   -8.05456198 -10.16019259  -2.037459997  12.17501420  -4.42552512
## 958    0.32222027  -2.46240739  -1.162430545   4.05550155   5.61364401
## 959    0.32222027  -2.46240739  -1.162430545   4.05550155   5.61364401
## 960    0.32222027  -2.46240739  -1.162430545   4.05550155   5.61364401
## 961    0.32222027  -2.46240739  -1.162430545   4.05550155   5.61364401
## 962    0.32222027  -2.46240739  -1.162430545   4.05550155   5.61364401
## 963            NA           NA            NA           NA           NA
## 964            NA           NA            NA           NA           NA
## 965            NA           NA            NA           NA           NA
## 966            NA           NA            NA           NA           NA
## 967            NA           NA            NA           NA           NA
## 968            NA           NA            NA           NA           NA
## 969            NA           NA            NA           NA           NA
## 970            NA           NA            NA           NA           NA
## 971            NA           NA            NA           NA           NA
## 972            NA           NA            NA           NA           NA
## 973    1.81744463  -6.81845235 -12.884162224  -1.35194965   7.22168384
## 974    1.81744463  -6.81845235 -12.884162224  -1.35194965   7.22168384
## 975    1.81744463  -6.81845235 -12.884162224  -1.35194965   7.22168384
## 976    1.81744463  -6.81845235 -12.884162224  -1.35194965   7.22168384
## 977    1.81744463  -6.81845235 -12.884162224  -1.35194965   7.22168384
## 978  -11.42546035 -20.90234796   2.116903669  -1.14114758  43.16061772
## 979  -11.42546035 -20.90234796   2.116903669  -1.14114758  43.16061772
## 980  -11.42546035 -20.90234796   2.116903669  -1.14114758  43.16061772
## 981  -11.42546035 -20.90234796   2.116903669  -1.14114758  43.16061772
## 982  -11.42546035 -20.90234796   2.116903669  -1.14114758  43.16061772
## 983            NA           NA            NA           NA           NA
## 984            NA           NA            NA           NA           NA
## 985            NA           NA            NA           NA           NA
## 986            NA           NA            NA           NA           NA
## 987            NA           NA            NA           NA           NA
## 988            NA           NA            NA           NA           NA
## 989            NA           NA            NA           NA           NA
## 990            NA           NA            NA           NA           NA
## 991            NA           NA            NA           NA           NA
## 992            NA           NA            NA           NA           NA
## 993   -2.83369392  -1.26203867   1.838335037  -1.10850295   2.72069572
## 994   -2.83369392  -1.26203867   1.838335037  -1.10850295   2.72069572
## 995   -2.83369392  -1.26203867   1.838335037  -1.10850295   2.72069572
## 996   -2.83369392  -1.26203867   1.838335037  -1.10850295   2.72069572
## 997   -2.83369392  -1.26203867   1.838335037  -1.10850295   2.72069572
## 998            NA           NA            NA           NA           NA
## 999            NA           NA            NA           NA           NA
## 1000           NA           NA            NA           NA           NA
## 1001           NA           NA            NA           NA           NA
## 1002           NA           NA            NA           NA           NA
## 1003           NA           NA            NA           NA           NA
## 1004           NA           NA            NA           NA           NA
## 1005           NA           NA            NA           NA           NA
## 1006           NA           NA            NA           NA           NA
## 1007           NA           NA            NA           NA           NA
## 1008  -1.14515620  -9.72187573   4.055545657  10.82299569 -29.58064983
## 1009  -1.14515620  -9.72187573   4.055545657  10.82299569 -29.58064983
## 1010  -1.14515620  -9.72187573   4.055545657  10.82299569 -29.58064983
## 1011  -1.14515620  -9.72187573   4.055545657  10.82299569 -29.58064983
## 1012  -1.14515620  -9.72187573   4.055545657  10.82299569 -29.58064983
## 1013   4.03133695  -4.24145924  -1.750964837   0.37159968  -1.62546062
## 1014   4.03133695  -4.24145924  -1.750964837   0.37159968  -1.62546062
## 1015   4.03133695  -4.24145924  -1.750964837   0.37159968  -1.62546062
## 1016   4.03133695  -4.24145924  -1.750964837   0.37159968  -1.62546062
## 1017   4.03133695  -4.24145924  -1.750964837   0.37159968  -1.62546062
## 1018  11.91856234   9.02888309   5.347687097   8.53383710 -58.07626499
## 1019  11.91856234   9.02888309   5.347687097   8.53383710 -58.07626499
## 1020  11.91856234   9.02888309   5.347687097   8.53383710 -58.07626499
## 1021  11.91856234   9.02888309   5.347687097   8.53383710 -58.07626499
## 1022  11.91856234   9.02888309   5.347687097   8.53383710 -58.07626499
## 1023           NA           NA            NA           NA           NA
## 1024           NA           NA            NA           NA           NA
## 1025           NA           NA            NA           NA           NA
## 1026           NA           NA            NA           NA           NA
## 1027           NA           NA            NA           NA           NA
## 1028           NA           NA            NA           NA           NA
## 1029           NA           NA            NA           NA           NA
## 1030           NA           NA            NA           NA           NA
## 1031           NA           NA            NA           NA           NA
## 1032           NA           NA            NA           NA           NA
## 1033   7.20841820   0.18107290  -9.855596034  -0.10738757   6.99432823
## 1034   7.20841820   0.18107290  -9.855596034  -0.10738757   6.99432823
## 1035   7.20841820   0.18107290  -9.855596034  -0.10738757   6.99432823
## 1036   7.20841820   0.18107290  -9.855596034  -0.10738757   6.99432823
## 1037   7.20841820   0.18107290  -9.855596034  -0.10738757   6.99432823
## 1038           NA           NA            NA           NA           NA
## 1039           NA           NA            NA           NA           NA
## 1040           NA           NA            NA           NA           NA
## 1041           NA           NA            NA           NA           NA
## 1042           NA           NA            NA           NA           NA
## 1043           NA           NA            NA           NA           NA
## 1044           NA           NA            NA           NA           NA
## 1045           NA           NA            NA           NA           NA
## 1046           NA           NA            NA           NA           NA
## 1047           NA           NA            NA           NA           NA
## 1048           NA           NA            NA           NA           NA
## 1049           NA           NA            NA           NA           NA
## 1050           NA           NA            NA           NA           NA
## 1051           NA           NA            NA           NA           NA
## 1052           NA           NA            NA           NA           NA
## 1053           NA           NA            NA           NA           NA
## 1054           NA           NA            NA           NA           NA
## 1055           NA           NA            NA           NA           NA
## 1056           NA           NA            NA           NA           NA
## 1057           NA           NA            NA           NA           NA
## 1058           NA           NA            NA           NA           NA
## 1059           NA           NA            NA           NA           NA
## 1060           NA           NA            NA           NA           NA
## 1061           NA           NA            NA           NA           NA
## 1062           NA           NA            NA           NA           NA
## 1063           NA           NA            NA           NA           NA
## 1064           NA           NA            NA           NA           NA
## 1065           NA           NA            NA           NA           NA
## 1066           NA           NA            NA           NA           NA
## 1067           NA           NA            NA           NA           NA
## 1068  13.96159172  22.59931106 -10.001004543  -2.97298026   4.18962755
## 1069  13.96159172  22.59931106 -10.001004543  -2.97298026   4.18962755
## 1070  13.96159172  22.59931106 -10.001004543  -2.97298026   4.18962755
## 1071  13.96159172  22.59931106 -10.001004543  -2.97298026   4.18962755
## 1072  13.96159172  22.59931106 -10.001004543  -2.97298026   4.18962755
## 1073  -2.25763556  43.69571921  -3.439502961  -6.93959670 -23.44720770
## 1074  -2.25763556  43.69571921  -3.439502961  -6.93959670 -23.44720770
## 1075  -2.25763556  43.69571921  -3.439502961  -6.93959670 -23.44720770
## 1076  -2.25763556  43.69571921  -3.439502961  -6.93959670 -23.44720770
## 1077  -2.25763556  43.69571921  -3.439502961  -6.93959670 -23.44720770
## 1078           NA           NA            NA           NA           NA
## 1079           NA           NA            NA           NA           NA
## 1080           NA           NA            NA           NA           NA
## 1081           NA           NA            NA           NA           NA
## 1082           NA           NA            NA           NA           NA
## 1083  -5.07944919  -4.84679586  17.034833951  -7.15050059  22.97713763
## 1084  -5.07944919  -4.84679586  17.034833951  -7.15050059  22.97713763
## 1085  -5.07944919  -4.84679586  17.034833951  -7.15050059  22.97713763
## 1086  -5.07944919  -4.84679586  17.034833951  -7.15050059  22.97713763
## 1087  -5.07944919  -4.84679586  17.034833951  -7.15050059  22.97713763
## 1088           NA           NA            NA           NA           NA
## 1089           NA           NA            NA           NA           NA
## 1090           NA           NA            NA           NA           NA
## 1091           NA           NA            NA           NA           NA
## 1092           NA           NA            NA           NA           NA
## 1093 -11.58508550  -0.37355158  -1.628897934  46.24031058  10.15642250
## 1094 -11.58508550  -0.37355158  -1.628897934  46.24031058  10.15642250
## 1095 -11.58508550  -0.37355158  -1.628897934  46.24031058  10.15642250
## 1096 -11.58508550  -0.37355158  -1.628897934  46.24031058  10.15642250
## 1097 -11.58508550  -0.37355158  -1.628897934  46.24031058  10.15642250
## 1098           NA           NA            NA           NA           NA
## 1099           NA           NA            NA           NA           NA
## 1100           NA           NA            NA           NA           NA
## 1101           NA           NA            NA           NA           NA
## 1102           NA           NA            NA           NA           NA
## 1103  -0.59695273  -8.78292134   1.231105167   6.49062188   4.82969192
## 1104  -0.59695273  -8.78292134   1.231105167   6.49062188   4.82969192
## 1105  -0.59695273  -8.78292134   1.231105167   6.49062188   4.82969192
## 1106  -0.59695273  -8.78292134   1.231105167   6.49062188   4.82969192
## 1107  -0.59695273  -8.78292134   1.231105167   6.49062188   4.82969192
## 1108           NA           NA            NA           NA           NA
## 1109           NA           NA            NA           NA           NA
## 1110           NA           NA            NA           NA           NA
## 1111           NA           NA            NA           NA           NA
## 1112           NA           NA            NA           NA           NA
## 1113  26.77306898 -28.42499430   3.176303360 -18.47452943  -3.31050148
## 1114  26.77306898 -28.42499430   3.176303360 -18.47452943  -3.31050148
## 1115  26.77306898 -28.42499430   3.176303360 -18.47452943  -3.31050148
## 1116  26.77306898 -28.42499430   3.176303360 -18.47452943  -3.31050148
## 1117  26.77306898 -28.42499430   3.176303360 -18.47452943  -3.31050148
## 1118  26.90240024  -1.57927784 -23.992816697   5.75495547  15.23115182
## 1119  26.90240024  -1.57927784 -23.992816697   5.75495547  15.23115182
## 1120  26.90240024  -1.57927784 -23.992816697   5.75495547  15.23115182
## 1121  26.90240024  -1.57927784 -23.992816697   5.75495547  15.23115182
## 1122  26.90240024  -1.57927784 -23.992816697   5.75495547  15.23115182
## 1123 -29.11473601   8.89671169 -16.923591823   2.81499704 -19.43746712
## 1124 -29.11473601   8.89671169 -16.923591823   2.81499704 -19.43746712
## 1125 -29.11473601   8.89671169 -16.923591823   2.81499704 -19.43746712
## 1126 -29.11473601   8.89671169 -16.923591823   2.81499704 -19.43746712
## 1127 -29.11473601   8.89671169 -16.923591823   2.81499704 -19.43746712
## 1128           NA           NA            NA           NA           NA
## 1129           NA           NA            NA           NA           NA
## 1130           NA           NA            NA           NA           NA
## 1131           NA           NA            NA           NA           NA
## 1132           NA           NA            NA           NA           NA
## 1133  -2.83199831   5.56401646  17.167981976 -31.31372416  23.10691282
## 1134  -2.83199831   5.56401646  17.167981976 -31.31372416  23.10691282
## 1135  -2.83199831   5.56401646  17.167981976 -31.31372416  23.10691282
## 1136  -2.83199831   5.56401646  17.167981976 -31.31372416  23.10691282
## 1137  -2.83199831   5.56401646  17.167981976 -31.31372416  23.10691282
## 1138           NA           NA            NA           NA           NA
## 1139           NA           NA            NA           NA           NA
## 1140           NA           NA            NA           NA           NA
## 1141           NA           NA            NA           NA           NA
## 1142           NA           NA            NA           NA           NA
## 1143 -12.49789654   6.40251976   3.629271927   1.47070309  -7.53758864
## 1144 -12.49789654   6.40251976   3.629271927   1.47070309  -7.53758864
## 1145 -12.49789654   6.40251976   3.629271927   1.47070309  -7.53758864
## 1146 -12.49789654   6.40251976   3.629271927   1.47070309  -7.53758864
## 1147 -12.49789654   6.40251976   3.629271927   1.47070309  -7.53758864
## 1148           NA           NA            NA           NA           NA
## 1149           NA           NA            NA           NA           NA
## 1150           NA           NA            NA           NA           NA
## 1151           NA           NA            NA           NA           NA
## 1152           NA           NA            NA           NA           NA
## 1153   2.43838876  -9.19317260  -2.536755042   0.01744992  -7.61387210
## 1154   2.43838876  -9.19317260  -2.536755042   0.01744992  -7.61387210
## 1155   2.43838876  -9.19317260  -2.536755042   0.01744992  -7.61387210
## 1156   2.43838876  -9.19317260  -2.536755042   0.01744992  -7.61387210
## 1157   2.43838876  -9.19317260  -2.536755042   0.01744992  -7.61387210
## 1158   1.14150814  -4.37145286  54.457672218   9.89024343  -5.63983033
## 1159   1.14150814  -4.37145286  54.457672218   9.89024343  -5.63983033
## 1160   1.14150814  -4.37145286  54.457672218   9.89024343  -5.63983033
## 1161   1.14150814  -4.37145286  54.457672218   9.89024343  -5.63983033
## 1162   1.14150814  -4.37145286  54.457672218   9.89024343  -5.63983033
## 1163           NA           NA            NA           NA           NA
## 1164           NA           NA            NA           NA           NA
## 1165           NA           NA            NA           NA           NA
## 1166           NA           NA            NA           NA           NA
## 1167           NA           NA            NA           NA           NA
## 1168           NA           NA            NA           NA           NA
## 1169           NA           NA            NA           NA           NA
## 1170           NA           NA            NA           NA           NA
## 1171           NA           NA            NA           NA           NA
## 1172           NA           NA            NA           NA           NA
## 1173           NA           NA            NA           NA           NA
## 1174           NA           NA            NA           NA           NA
## 1175           NA           NA            NA           NA           NA
## 1176           NA           NA            NA           NA           NA
## 1177           NA           NA            NA           NA           NA
## 1178           NA           NA            NA           NA           NA
## 1179           NA           NA            NA           NA           NA
## 1180           NA           NA            NA           NA           NA
## 1181           NA           NA            NA           NA           NA
## 1182           NA           NA            NA           NA           NA
## 1183           NA           NA            NA           NA           NA
## 1184           NA           NA            NA           NA           NA
## 1185           NA           NA            NA           NA           NA
## 1186           NA           NA            NA           NA           NA
## 1187           NA           NA            NA           NA           NA
## 1188  15.57863445  -4.01248533  30.466473450 -11.90687691 -10.14135113
## 1189  15.57863445  -4.01248533  30.466473450 -11.90687691 -10.14135113
## 1190  15.57863445  -4.01248533  30.466473450 -11.90687691 -10.14135113
## 1191  15.57863445  -4.01248533  30.466473450 -11.90687691 -10.14135113
## 1192  15.57863445  -4.01248533  30.466473450 -11.90687691 -10.14135113
## 1193 -32.11848419 -22.52158419   1.427982836  -1.40022987  23.84386382
## 1194 -32.11848419 -22.52158419   1.427982836  -1.40022987  23.84386382
## 1195 -32.11848419 -22.52158419   1.427982836  -1.40022987  23.84386382
## 1196 -32.11848419 -22.52158419   1.427982836  -1.40022987  23.84386382
## 1197 -32.11848419 -22.52158419   1.427982836  -1.40022987  23.84386382
## 1198 -13.47186700 -11.53065274 -13.808564378   1.74225653  -0.17005014
## 1199 -13.47186700 -11.53065274 -13.808564378   1.74225653  -0.17005014
## 1200 -13.47186700 -11.53065274 -13.808564378   1.74225653  -0.17005014
## 1201 -13.47186700 -11.53065274 -13.808564378   1.74225653  -0.17005014
## 1202 -13.47186700 -11.53065274 -13.808564378   1.74225653  -0.17005014
## 1203  13.68682860  14.30767414   9.827135716   0.12462862  49.06401513
## 1204  13.68682860  14.30767414   9.827135716   0.12462862  49.06401513
## 1205  13.68682860  14.30767414   9.827135716   0.12462862  49.06401513
## 1206  13.68682860  14.30767414   9.827135716   0.12462862  49.06401513
## 1207  13.68682860  14.30767414   9.827135716   0.12462862  49.06401513
## 1208           NA           NA            NA           NA           NA
## 1209           NA           NA            NA           NA           NA
## 1210           NA           NA            NA           NA           NA
## 1211           NA           NA            NA           NA           NA
## 1212           NA           NA            NA           NA           NA
## 1213 -87.22915884  19.78997938  -2.687168693  10.60988048   8.03960961
## 1214 -87.22915884  19.78997938  -2.687168693  10.60988048   8.03960961
## 1215 -87.22915884  19.78997938  -2.687168693  10.60988048   8.03960961
## 1216 -87.22915884  19.78997938  -2.687168693  10.60988048   8.03960961
## 1217 -87.22915884  19.78997938  -2.687168693  10.60988048   8.03960961
## 1218  29.52388435  10.01280887  28.689545897  11.62241162  10.73132907
## 1219  29.52388435  10.01280887  28.689545897  11.62241162  10.73132907
## 1220  29.52388435  10.01280887  28.689545897  11.62241162  10.73132907
## 1221  29.52388435  10.01280887  28.689545897  11.62241162  10.73132907
## 1222  29.52388435  10.01280887  28.689545897  11.62241162  10.73132907
## 1223           NA           NA            NA           NA           NA
## 1224           NA           NA            NA           NA           NA
## 1225           NA           NA            NA           NA           NA
## 1226           NA           NA            NA           NA           NA
## 1227           NA           NA            NA           NA           NA
## 1228           NA           NA            NA           NA           NA
## 1229           NA           NA            NA           NA           NA
## 1230           NA           NA            NA           NA           NA
## 1231           NA           NA            NA           NA           NA
## 1232           NA           NA            NA           NA           NA
## 1233           NA           NA            NA           NA           NA
## 1234           NA           NA            NA           NA           NA
## 1235           NA           NA            NA           NA           NA
## 1236           NA           NA            NA           NA           NA
## 1237           NA           NA            NA           NA           NA
## 1238  38.70191775 -18.64588906   0.789015661   0.90089543  -3.11210130
## 1239  38.70191775 -18.64588906   0.789015661   0.90089543  -3.11210130
## 1240  38.70191775 -18.64588906   0.789015661   0.90089543  -3.11210130
## 1241  38.70191775 -18.64588906   0.789015661   0.90089543  -3.11210130
## 1242  38.70191775 -18.64588906   0.789015661   0.90089543  -3.11210130
## 1243  -5.42569608 -14.47901495  -4.099023523   3.05302116   1.40553217
## 1244  -5.42569608 -14.47901495  -4.099023523   3.05302116   1.40553217
## 1245  -5.42569608 -14.47901495  -4.099023523   3.05302116   1.40553217
## 1246  -5.42569608 -14.47901495  -4.099023523   3.05302116   1.40553217
## 1247  -5.42569608 -14.47901495  -4.099023523   3.05302116   1.40553217
## 1248           NA           NA            NA           NA           NA
## 1249           NA           NA            NA           NA           NA
## 1250           NA           NA            NA           NA           NA
## 1251           NA           NA            NA           NA           NA
## 1252           NA           NA            NA           NA           NA
## 1253           NA           NA            NA           NA           NA
## 1254           NA           NA            NA           NA           NA
## 1255           NA           NA            NA           NA           NA
## 1256           NA           NA            NA           NA           NA
## 1257           NA           NA            NA           NA           NA
## 1258           NA           NA            NA           NA           NA
## 1259           NA           NA            NA           NA           NA
## 1260           NA           NA            NA           NA           NA
## 1261           NA           NA            NA           NA           NA
## 1262           NA           NA            NA           NA           NA
## 1263   8.66317699   4.85490500   2.367101564  51.08215480   1.58649298
## 1264   8.66317699   4.85490500   2.367101564  51.08215480   1.58649298
## 1265   8.66317699   4.85490500   2.367101564  51.08215480   1.58649298
## 1266   8.66317699   4.85490500   2.367101564  51.08215480   1.58649298
## 1267   8.66317699   4.85490500   2.367101564  51.08215480   1.58649298
## 1268  -7.45425343   0.57954627  -3.953669930  -0.95873010   3.09764226
## 1269  -7.45425343   0.57954627  -3.953669930  -0.95873010   3.09764226
## 1270  -7.45425343   0.57954627  -3.953669930  -0.95873010   3.09764226
## 1271  -7.45425343   0.57954627  -3.953669930  -0.95873010   3.09764226
## 1272  -7.45425343   0.57954627  -3.953669930  -0.95873010   3.09764226
## 1273   6.92106077  12.48138387   1.451447112   0.12425917   1.48652695
## 1274   6.92106077  12.48138387   1.451447112   0.12425917   1.48652695
## 1275   6.92106077  12.48138387   1.451447112   0.12425917   1.48652695
## 1276   6.92106077  12.48138387   1.451447112   0.12425917   1.48652695
## 1277   6.92106077  12.48138387   1.451447112   0.12425917   1.48652695
## 1278  -2.38726438  -0.16519430  -0.003387966   2.57124113   3.30014556
## 1279  -2.38726438  -0.16519430  -0.003387966   2.57124113   3.30014556
## 1280  -2.38726438  -0.16519430  -0.003387966   2.57124113   3.30014556
## 1281  -2.38726438  -0.16519430  -0.003387966   2.57124113   3.30014556
## 1282  -2.38726438  -0.16519430  -0.003387966   2.57124113   3.30014556
## 1283   0.40839705   0.95731454  -0.767476448   6.19715628  -4.88716630
## 1284   0.40839705   0.95731454  -0.767476448   6.19715628  -4.88716630
## 1285   0.40839705   0.95731454  -0.767476448   6.19715628  -4.88716630
## 1286   0.40839705   0.95731454  -0.767476448   6.19715628  -4.88716630
## 1287   0.40839705   0.95731454  -0.767476448   6.19715628  -4.88716630
## 1288           NA           NA            NA           NA           NA
## 1289           NA           NA            NA           NA           NA
## 1290           NA           NA            NA           NA           NA
## 1291           NA           NA            NA           NA           NA
## 1292           NA           NA            NA           NA           NA
## 1293           NA           NA            NA           NA           NA
## 1294           NA           NA            NA           NA           NA
## 1295           NA           NA            NA           NA           NA
## 1296           NA           NA            NA           NA           NA
## 1297           NA           NA            NA           NA           NA
## 1298  -2.75418549  -2.04236645  12.643421980  -3.36762477  -3.88229926
## 1299  -2.75418549  -2.04236645  12.643421980  -3.36762477  -3.88229926
## 1300  -2.75418549  -2.04236645  12.643421980  -3.36762477  -3.88229926
## 1301  -2.75418549  -2.04236645  12.643421980  -3.36762477  -3.88229926
## 1302  -2.75418549  -2.04236645  12.643421980  -3.36762477  -3.88229926
## 1303           NA           NA            NA           NA           NA
## 1304           NA           NA            NA           NA           NA
## 1305           NA           NA            NA           NA           NA
## 1306           NA           NA            NA           NA           NA
## 1307           NA           NA            NA           NA           NA
## 1308           NA           NA            NA           NA           NA
## 1309           NA           NA            NA           NA           NA
## 1310           NA           NA            NA           NA           NA
## 1311           NA           NA            NA           NA           NA
## 1312           NA           NA            NA           NA           NA
## 1313  -0.66840961  -9.41170729   5.677969888   1.72014341   1.04878768
## 1314  -0.66840961  -9.41170729   5.677969888   1.72014341   1.04878768
## 1315  -0.66840961  -9.41170729   5.677969888   1.72014341   1.04878768
## 1316  -0.66840961  -9.41170729   5.677969888   1.72014341   1.04878768
## 1317  -0.66840961  -9.41170729   5.677969888   1.72014341   1.04878768
## 1318           NA           NA            NA           NA           NA
## 1319           NA           NA            NA           NA           NA
## 1320           NA           NA            NA           NA           NA
## 1321           NA           NA            NA           NA           NA
## 1322           NA           NA            NA           NA           NA
## 1323           NA           NA            NA           NA           NA
## 1324           NA           NA            NA           NA           NA
## 1325           NA           NA            NA           NA           NA
## 1326           NA           NA            NA           NA           NA
## 1327           NA           NA            NA           NA           NA
## 1328           NA           NA            NA           NA           NA
## 1329           NA           NA            NA           NA           NA
## 1330           NA           NA            NA           NA           NA
## 1331           NA           NA            NA           NA           NA
## 1332           NA           NA            NA           NA           NA
## 1333           NA           NA            NA           NA           NA
## 1334           NA           NA            NA           NA           NA
## 1335           NA           NA            NA           NA           NA
## 1336           NA           NA            NA           NA           NA
## 1337           NA           NA            NA           NA           NA
## 1338           NA           NA            NA           NA           NA
## 1339           NA           NA            NA           NA           NA
## 1340           NA           NA            NA           NA           NA
## 1341           NA           NA            NA           NA           NA
## 1342           NA           NA            NA           NA           NA
## 1343           NA           NA            NA           NA           NA
## 1344           NA           NA            NA           NA           NA
## 1345           NA           NA            NA           NA           NA
## 1346           NA           NA            NA           NA           NA
## 1347           NA           NA            NA           NA           NA
## 1348           NA           NA            NA           NA           NA
## 1349           NA           NA            NA           NA           NA
## 1350           NA           NA            NA           NA           NA
## 1351           NA           NA            NA           NA           NA
## 1352           NA           NA            NA           NA           NA
## 1353           NA           NA            NA           NA           NA
## 1354           NA           NA            NA           NA           NA
## 1355           NA           NA            NA           NA           NA
## 1356           NA           NA            NA           NA           NA
## 1357           NA           NA            NA           NA           NA
## 1358           NA           NA            NA           NA           NA
## 1359           NA           NA            NA           NA           NA
## 1360           NA           NA            NA           NA           NA
## 1361           NA           NA            NA           NA           NA
## 1362           NA           NA            NA           NA           NA
## 1363   0.37780758  -1.95413187  -2.152134722  -6.95285372  -1.75304321
## 1364   0.37780758  -1.95413187  -2.152134722  -6.95285372  -1.75304321
## 1365   0.37780758  -1.95413187  -2.152134722  -6.95285372  -1.75304321
## 1366   0.37780758  -1.95413187  -2.152134722  -6.95285372  -1.75304321
## 1367   0.37780758  -1.95413187  -2.152134722  -6.95285372  -1.75304321
## 1368           NA           NA            NA           NA           NA
## 1369           NA           NA            NA           NA           NA
## 1370           NA           NA            NA           NA           NA
## 1371           NA           NA            NA           NA           NA
## 1372           NA           NA            NA           NA           NA
## 1373           NA           NA            NA           NA           NA
## 1374           NA           NA            NA           NA           NA
## 1375           NA           NA            NA           NA           NA
## 1376           NA           NA            NA           NA           NA
## 1377           NA           NA            NA           NA           NA
## 1378   1.55038331  -1.16489962  -1.889332009  -5.49278599  -2.57573681
## 1379   1.55038331  -1.16489962  -1.889332009  -5.49278599  -2.57573681
## 1380   1.55038331  -1.16489962  -1.889332009  -5.49278599  -2.57573681
## 1381   1.55038331  -1.16489962  -1.889332009  -5.49278599  -2.57573681
## 1382   1.55038331  -1.16489962  -1.889332009  -5.49278599  -2.57573681
## 1383           NA           NA            NA           NA           NA
## 1384           NA           NA            NA           NA           NA
## 1385           NA           NA            NA           NA           NA
## 1386           NA           NA            NA           NA           NA
## 1387           NA           NA            NA           NA           NA
## 1388   3.05886230  -1.67608159  -5.506964631 -20.27260445  -3.64241520
## 1389   3.05886230  -1.67608159  -5.506964631 -20.27260445  -3.64241520
## 1390   3.05886230  -1.67608159  -5.506964631 -20.27260445  -3.64241520
## 1391   3.05886230  -1.67608159  -5.506964631 -20.27260445  -3.64241520
## 1392   3.05886230  -1.67608159  -5.506964631 -20.27260445  -3.64241520
## 1393           NA           NA            NA           NA           NA
## 1394           NA           NA            NA           NA           NA
## 1395           NA           NA            NA           NA           NA
## 1396           NA           NA            NA           NA           NA
## 1397           NA           NA            NA           NA           NA
## 1398           NA           NA            NA           NA           NA
## 1399           NA           NA            NA           NA           NA
## 1400           NA           NA            NA           NA           NA
## 1401           NA           NA            NA           NA           NA
## 1402           NA           NA            NA           NA           NA
## 1403           NA           NA            NA           NA           NA
## 1404           NA           NA            NA           NA           NA
## 1405           NA           NA            NA           NA           NA
## 1406           NA           NA            NA           NA           NA
## 1407           NA           NA            NA           NA           NA
## 1408           NA           NA            NA           NA           NA
## 1409           NA           NA            NA           NA           NA
## 1410           NA           NA            NA           NA           NA
## 1411           NA           NA            NA           NA           NA
## 1412           NA           NA            NA           NA           NA
## 1413  27.23975554   1.53380678  -5.699505848   9.09098747 -14.16320718
## 1414  27.23975554   1.53380678  -5.699505848   9.09098747 -14.16320718
## 1415  27.23975554   1.53380678  -5.699505848   9.09098747 -14.16320718
## 1416  27.23975554   1.53380678  -5.699505848   9.09098747 -14.16320718
## 1417  27.23975554   1.53380678  -5.699505848   9.09098747 -14.16320718
## 1418  -1.68173468   0.74514375  -0.979351486  -4.81000516  -1.53250139
## 1419  -1.68173468   0.74514375  -0.979351486  -4.81000516  -1.53250139
## 1420  -1.68173468   0.74514375  -0.979351486  -4.81000516  -1.53250139
## 1421  -1.68173468   0.74514375  -0.979351486  -4.81000516  -1.53250139
## 1422  -1.68173468   0.74514375  -0.979351486  -4.81000516  -1.53250139
## 1423           NA           NA            NA           NA           NA
## 1424           NA           NA            NA           NA           NA
## 1425           NA           NA            NA           NA           NA
## 1426           NA           NA            NA           NA           NA
## 1427           NA           NA            NA           NA           NA
## 1428  -7.78934599   5.01600773   1.243585285 -19.10862639   0.61244660
## 1429  -7.78934599   5.01600773   1.243585285 -19.10862639   0.61244660
## 1430  -7.78934599   5.01600773   1.243585285 -19.10862639   0.61244660
## 1431  -7.78934599   5.01600773   1.243585285 -19.10862639   0.61244660
## 1432  -7.78934599   5.01600773   1.243585285 -19.10862639   0.61244660
## 1433  22.97655471  13.86558320  36.608954023  -0.29350337 -38.36843229
## 1434  22.97655471  13.86558320  36.608954023  -0.29350337 -38.36843229
## 1435  22.97655471  13.86558320  36.608954023  -0.29350337 -38.36843229
## 1436  22.97655471  13.86558320  36.608954023  -0.29350337 -38.36843229
## 1437  22.97655471  13.86558320  36.608954023  -0.29350337 -38.36843229
## 1438           NA           NA            NA           NA           NA
## 1439           NA           NA            NA           NA           NA
## 1440           NA           NA            NA           NA           NA
## 1441           NA           NA            NA           NA           NA
## 1442           NA           NA            NA           NA           NA
## 1443  16.80130405   0.64519981   3.716787626   2.81877306  15.00666368
## 1444  16.80130405   0.64519981   3.716787626   2.81877306  15.00666368
## 1445  16.80130405   0.64519981   3.716787626   2.81877306  15.00666368
## 1446  16.80130405   0.64519981   3.716787626   2.81877306  15.00666368
## 1447  16.80130405   0.64519981   3.716787626   2.81877306  15.00666368
## 1448           NA           NA            NA           NA           NA
## 1449           NA           NA            NA           NA           NA
## 1450           NA           NA            NA           NA           NA
## 1451           NA           NA            NA           NA           NA
## 1452           NA           NA            NA           NA           NA
## 1453           NA           NA            NA           NA           NA
## 1454           NA           NA            NA           NA           NA
## 1455           NA           NA            NA           NA           NA
## 1456           NA           NA            NA           NA           NA
## 1457           NA           NA            NA           NA           NA
## 1458           NA           NA            NA           NA           NA
## 1459           NA           NA            NA           NA           NA
## 1460           NA           NA            NA           NA           NA
## 1461           NA           NA            NA           NA           NA
## 1462           NA           NA            NA           NA           NA
## 1463  -8.84715330   8.58581426  -1.380859625  -6.64347154   2.71487289
## 1464  -8.84715330   8.58581426  -1.380859625  -6.64347154   2.71487289
## 1465  -8.84715330   8.58581426  -1.380859625  -6.64347154   2.71487289
## 1466  -8.84715330   8.58581426  -1.380859625  -6.64347154   2.71487289
## 1467  -8.84715330   8.58581426  -1.380859625  -6.64347154   2.71487289
## 1468           NA           NA            NA           NA           NA
## 1469           NA           NA            NA           NA           NA
## 1470           NA           NA            NA           NA           NA
## 1471           NA           NA            NA           NA           NA
## 1472           NA           NA            NA           NA           NA
## 1473           NA           NA            NA           NA           NA
## 1474           NA           NA            NA           NA           NA
## 1475           NA           NA            NA           NA           NA
## 1476           NA           NA            NA           NA           NA
## 1477           NA           NA            NA           NA           NA
## 1478           NA           NA            NA           NA           NA
## 1479           NA           NA            NA           NA           NA
## 1480           NA           NA            NA           NA           NA
## 1481           NA           NA            NA           NA           NA
## 1482           NA           NA            NA           NA           NA
## 1483           NA           NA            NA           NA           NA
## 1484           NA           NA            NA           NA           NA
## 1485           NA           NA            NA           NA           NA
## 1486           NA           NA            NA           NA           NA
## 1487           NA           NA            NA           NA           NA
## 1488   1.89173850  -1.35403456 -24.109155145 -12.63941778 -10.44214282
## 1489   1.89173850  -1.35403456 -24.109155145 -12.63941778 -10.44214282
## 1490   1.89173850  -1.35403456 -24.109155145 -12.63941778 -10.44214282
## 1491   1.89173850  -1.35403456 -24.109155145 -12.63941778 -10.44214282
## 1492   1.89173850  -1.35403456 -24.109155145 -12.63941778 -10.44214282
## 1493  -0.83218886  -1.58177014 -31.232988274  -1.74141532 -44.09468750
## 1494  -0.83218886  -1.58177014 -31.232988274  -1.74141532 -44.09468750
## 1495  -0.83218886  -1.58177014 -31.232988274  -1.74141532 -44.09468750
## 1496  -0.83218886  -1.58177014 -31.232988274  -1.74141532 -44.09468750
## 1497  -0.83218886  -1.58177014 -31.232988274  -1.74141532 -44.09468750
## 1498 -16.24941064   1.47873677 -18.410826417 -48.17010289  -7.84926425
## 1499 -16.24941064   1.47873677 -18.410826417 -48.17010289  -7.84926425
## 1500 -16.24941064   1.47873677 -18.410826417 -48.17010289  -7.84926425
## 1501 -16.24941064   1.47873677 -18.410826417 -48.17010289  -7.84926425
## 1502 -16.24941064   1.47873677 -18.410826417 -48.17010289  -7.84926425
## 1503  -1.56693789  -2.12228639   3.678429166 -22.14322898  -0.16425725
## 1504  -1.56693789  -2.12228639   3.678429166 -22.14322898  -0.16425725
## 1505  -1.56693789  -2.12228639   3.678429166 -22.14322898  -0.16425725
## 1506  -1.56693789  -2.12228639   3.678429166 -22.14322898  -0.16425725
## 1507  -1.56693789  -2.12228639   3.678429166 -22.14322898  -0.16425725
## 1508           NA           NA            NA           NA           NA
## 1509           NA           NA            NA           NA           NA
## 1510           NA           NA            NA           NA           NA
## 1511           NA           NA            NA           NA           NA
## 1512           NA           NA            NA           NA           NA
## 1513           NA           NA            NA           NA           NA
## 1514           NA           NA            NA           NA           NA
## 1515           NA           NA            NA           NA           NA
## 1516           NA           NA            NA           NA           NA
## 1517           NA           NA            NA           NA           NA
## 1518           NA           NA            NA           NA           NA
## 1519           NA           NA            NA           NA           NA
## 1520           NA           NA            NA           NA           NA
## 1521           NA           NA            NA           NA           NA
## 1522           NA           NA            NA           NA           NA
## 1523           NA           NA            NA           NA           NA
## 1524           NA           NA            NA           NA           NA
## 1525           NA           NA            NA           NA           NA
## 1526           NA           NA            NA           NA           NA
## 1527           NA           NA            NA           NA           NA
## 1528  -7.68843141   4.75001780  -7.115123079  -4.18321367   2.04706066
## 1529  -7.68843141   4.75001780  -7.115123079  -4.18321367   2.04706066
## 1530  -7.68843141   4.75001780  -7.115123079  -4.18321367   2.04706066
## 1531  -7.68843141   4.75001780  -7.115123079  -4.18321367   2.04706066
## 1532  -7.68843141   4.75001780  -7.115123079  -4.18321367   2.04706066
## 1533           NA           NA            NA           NA           NA
## 1534           NA           NA            NA           NA           NA
## 1535           NA           NA            NA           NA           NA
## 1536           NA           NA            NA           NA           NA
## 1537           NA           NA            NA           NA           NA
## 1538           NA           NA            NA           NA           NA
##        PC67_score   PC65_score   PC49_score  PC22_score   PC100_score
## 1     38.56026414  20.55423462   1.12673709  -2.3618082   1.909229621
## 2     38.56026414  20.55423462   1.12673709  -2.3618082   1.909229621
## 3     38.56026414  20.55423462   1.12673709  -2.3618082   1.909229621
## 4     38.56026414  20.55423462   1.12673709  -2.3618082   1.909229621
## 5     38.56026414  20.55423462   1.12673709  -2.3618082   1.909229621
## 6     38.56026414  20.55423462   1.12673709  -2.3618082   1.909229621
## 7     38.56026414  20.55423462   1.12673709  -2.3618082   1.909229621
## 8     38.56026414  20.55423462   1.12673709  -2.3618082   1.909229621
## 9     -4.68614024   2.03296079  -5.58908714  -1.1566844  -8.168698639
## 10    -4.68614024   2.03296079  -5.58908714  -1.1566844  -8.168698639
## 11    -4.68614024   2.03296079  -5.58908714  -1.1566844  -8.168698639
## 12    -4.68614024   2.03296079  -5.58908714  -1.1566844  -8.168698639
## 13    -4.68614024   2.03296079  -5.58908714  -1.1566844  -8.168698639
## 14    -4.68614024   2.03296079  -5.58908714  -1.1566844  -8.168698639
## 15    -4.68614024   2.03296079  -5.58908714  -1.1566844  -8.168698639
## 16    -4.68614024   2.03296079  -5.58908714  -1.1566844  -8.168698639
## 17    -5.72819302   2.21728505 -21.57732887 -12.1507679  -1.352171619
## 18    -5.72819302   2.21728505 -21.57732887 -12.1507679  -1.352171619
## 19    -5.72819302   2.21728505 -21.57732887 -12.1507679  -1.352171619
## 20    -5.72819302   2.21728505 -21.57732887 -12.1507679  -1.352171619
## 21    -5.72819302   2.21728505 -21.57732887 -12.1507679  -1.352171619
## 22    -5.72819302   2.21728505 -21.57732887 -12.1507679  -1.352171619
## 23    -5.72819302   2.21728505 -21.57732887 -12.1507679  -1.352171619
## 24    -5.72819302   2.21728505 -21.57732887 -12.1507679  -1.352171619
## 25    -0.66513834 -20.52880380 -40.44242749  15.0748475   0.545481662
## 26    -0.66513834 -20.52880380 -40.44242749  15.0748475   0.545481662
## 27    -0.66513834 -20.52880380 -40.44242749  15.0748475   0.545481662
## 28    -0.66513834 -20.52880380 -40.44242749  15.0748475   0.545481662
## 29    -0.66513834 -20.52880380 -40.44242749  15.0748475   0.545481662
## 30    -0.66513834 -20.52880380 -40.44242749  15.0748475   0.545481662
## 31    -0.66513834 -20.52880380 -40.44242749  15.0748475   0.545481662
## 32    -0.66513834 -20.52880380 -40.44242749  15.0748475   0.545481662
## 33   -19.39840601  -0.27373357   1.47855556  -9.8857469   0.733252635
## 34   -19.39840601  -0.27373357   1.47855556  -9.8857469   0.733252635
## 35   -19.39840601  -0.27373357   1.47855556  -9.8857469   0.733252635
## 36   -19.39840601  -0.27373357   1.47855556  -9.8857469   0.733252635
## 37   -19.39840601  -0.27373357   1.47855556  -9.8857469   0.733252635
## 38   -19.39840601  -0.27373357   1.47855556  -9.8857469   0.733252635
## 39   -19.39840601  -0.27373357   1.47855556  -9.8857469   0.733252635
## 40   -19.39840601  -0.27373357   1.47855556  -9.8857469   0.733252635
## 41   -16.62855610  -0.86496680  -3.23490791  -3.6507281  14.626446197
## 42   -16.62855610  -0.86496680  -3.23490791  -3.6507281  14.626446197
## 43   -16.62855610  -0.86496680  -3.23490791  -3.6507281  14.626446197
## 44   -16.62855610  -0.86496680  -3.23490791  -3.6507281  14.626446197
## 45   -16.62855610  -0.86496680  -3.23490791  -3.6507281  14.626446197
## 46   -16.62855610  -0.86496680  -3.23490791  -3.6507281  14.626446197
## 47   -16.62855610  -0.86496680  -3.23490791  -3.6507281  14.626446197
## 48   -16.62855610  -0.86496680  -3.23490791  -3.6507281  14.626446197
## 49     3.02327333   6.33323817  -4.88410236   7.2601444  -0.165232819
## 50     3.02327333   6.33323817  -4.88410236   7.2601444  -0.165232819
## 51     3.02327333   6.33323817  -4.88410236   7.2601444  -0.165232819
## 52     3.02327333   6.33323817  -4.88410236   7.2601444  -0.165232819
## 53     3.02327333   6.33323817  -4.88410236   7.2601444  -0.165232819
## 54     3.02327333   6.33323817  -4.88410236   7.2601444  -0.165232819
## 55     3.02327333   6.33323817  -4.88410236   7.2601444  -0.165232819
## 56     3.02327333   6.33323817  -4.88410236   7.2601444  -0.165232819
## 57   -16.14857025 -11.96104356  -3.89783002  -6.1875828   5.593274652
## 58   -16.14857025 -11.96104356  -3.89783002  -6.1875828   5.593274652
## 59   -16.14857025 -11.96104356  -3.89783002  -6.1875828   5.593274652
## 60   -16.14857025 -11.96104356  -3.89783002  -6.1875828   5.593274652
## 61   -16.14857025 -11.96104356  -3.89783002  -6.1875828   5.593274652
## 62   -16.14857025 -11.96104356  -3.89783002  -6.1875828   5.593274652
## 63   -16.14857025 -11.96104356  -3.89783002  -6.1875828   5.593274652
## 64   -16.14857025 -11.96104356  -3.89783002  -6.1875828   5.593274652
## 65     7.49824561   9.06367401 -32.08752919  -3.3027298  -0.191966989
## 66     7.49824561   9.06367401 -32.08752919  -3.3027298  -0.191966989
## 67     7.49824561   9.06367401 -32.08752919  -3.3027298  -0.191966989
## 68     7.49824561   9.06367401 -32.08752919  -3.3027298  -0.191966989
## 69     7.49824561   9.06367401 -32.08752919  -3.3027298  -0.191966989
## 70     7.49824561   9.06367401 -32.08752919  -3.3027298  -0.191966989
## 71     7.49824561   9.06367401 -32.08752919  -3.3027298  -0.191966989
## 72     7.49824561   9.06367401 -32.08752919  -3.3027298  -0.191966989
## 73     2.74748591 -25.32803702   4.71912036  -7.7994027  -0.645974753
## 74     2.74748591 -25.32803702   4.71912036  -7.7994027  -0.645974753
## 75     2.74748591 -25.32803702   4.71912036  -7.7994027  -0.645974753
## 76     2.74748591 -25.32803702   4.71912036  -7.7994027  -0.645974753
## 77     2.74748591 -25.32803702   4.71912036  -7.7994027  -0.645974753
## 78     2.74748591 -25.32803702   4.71912036  -7.7994027  -0.645974753
## 79     2.74748591 -25.32803702   4.71912036  -7.7994027  -0.645974753
## 80     2.74748591 -25.32803702   4.71912036  -7.7994027  -0.645974753
## 81     5.69759074  -3.14271200  -0.37539311  -2.1959972  -3.810582893
## 82     5.69759074  -3.14271200  -0.37539311  -2.1959972  -3.810582893
## 83     5.69759074  -3.14271200  -0.37539311  -2.1959972  -3.810582893
## 84     5.69759074  -3.14271200  -0.37539311  -2.1959972  -3.810582893
## 85     5.69759074  -3.14271200  -0.37539311  -2.1959972  -3.810582893
## 86     5.69759074  -3.14271200  -0.37539311  -2.1959972  -3.810582893
## 87     5.69759074  -3.14271200  -0.37539311  -2.1959972  -3.810582893
## 88     5.69759074  -3.14271200  -0.37539311  -2.1959972  -3.810582893
## 89     3.60453736  -0.92773104   8.68051369   2.2269879   1.007859039
## 90     3.60453736  -0.92773104   8.68051369   2.2269879   1.007859039
## 91     3.60453736  -0.92773104   8.68051369   2.2269879   1.007859039
## 92     3.60453736  -0.92773104   8.68051369   2.2269879   1.007859039
## 93     3.60453736  -0.92773104   8.68051369   2.2269879   1.007859039
## 94     3.60453736  -0.92773104   8.68051369   2.2269879   1.007859039
## 95     3.60453736  -0.92773104   8.68051369   2.2269879   1.007859039
## 96     3.60453736  -0.92773104   8.68051369   2.2269879   1.007859039
## 97     1.28282891  -7.12831511  47.90694942   0.3089100   4.547004306
## 98     1.28282891  -7.12831511  47.90694942   0.3089100   4.547004306
## 99     1.28282891  -7.12831511  47.90694942   0.3089100   4.547004306
## 100    1.28282891  -7.12831511  47.90694942   0.3089100   4.547004306
## 101    1.28282891  -7.12831511  47.90694942   0.3089100   4.547004306
## 102    1.28282891  -7.12831511  47.90694942   0.3089100   4.547004306
## 103    1.28282891  -7.12831511  47.90694942   0.3089100   4.547004306
## 104    1.28282891  -7.12831511  47.90694942   0.3089100   4.547004306
## 105    4.09884638  -1.26600826  -2.25771602  -1.1731439  11.926964204
## 106    4.09884638  -1.26600826  -2.25771602  -1.1731439  11.926964204
## 107    4.09884638  -1.26600826  -2.25771602  -1.1731439  11.926964204
## 108    4.09884638  -1.26600826  -2.25771602  -1.1731439  11.926964204
## 109    4.09884638  -1.26600826  -2.25771602  -1.1731439  11.926964204
## 110    4.09884638  -1.26600826  -2.25771602  -1.1731439  11.926964204
## 111    4.09884638  -1.26600826  -2.25771602  -1.1731439  11.926964204
## 112    4.09884638  -1.26600826  -2.25771602  -1.1731439  11.926964204
## 113    0.25912866  -0.93891933  -0.84484779 -14.0908797   0.756327442
## 114    0.25912866  -0.93891933  -0.84484779 -14.0908797   0.756327442
## 115    0.25912866  -0.93891933  -0.84484779 -14.0908797   0.756327442
## 116    0.25912866  -0.93891933  -0.84484779 -14.0908797   0.756327442
## 117    0.25912866  -0.93891933  -0.84484779 -14.0908797   0.756327442
## 118    0.25912866  -0.93891933  -0.84484779 -14.0908797   0.756327442
## 119    0.25912866  -0.93891933  -0.84484779 -14.0908797   0.756327442
## 120    0.25912866  -0.93891933  -0.84484779 -14.0908797   0.756327442
## 121    1.27578240 -24.31751479  10.25373671   7.2399835   0.155417036
## 122    1.27578240 -24.31751479  10.25373671   7.2399835   0.155417036
## 123    1.27578240 -24.31751479  10.25373671   7.2399835   0.155417036
## 124    1.27578240 -24.31751479  10.25373671   7.2399835   0.155417036
## 125    1.27578240 -24.31751479  10.25373671   7.2399835   0.155417036
## 126    1.27578240 -24.31751479  10.25373671   7.2399835   0.155417036
## 127    1.27578240 -24.31751479  10.25373671   7.2399835   0.155417036
## 128    1.27578240 -24.31751479  10.25373671   7.2399835   0.155417036
## 129   40.89177530   1.38190482  43.76601737  -4.3458718   0.009469931
## 130   40.89177530   1.38190482  43.76601737  -4.3458718   0.009469931
## 131   40.89177530   1.38190482  43.76601737  -4.3458718   0.009469931
## 132   40.89177530   1.38190482  43.76601737  -4.3458718   0.009469931
## 133   40.89177530   1.38190482  43.76601737  -4.3458718   0.009469931
## 134   40.89177530   1.38190482  43.76601737  -4.3458718   0.009469931
## 135   40.89177530   1.38190482  43.76601737  -4.3458718   0.009469931
## 136   40.89177530   1.38190482  43.76601737  -4.3458718   0.009469931
## 137    1.53938512   3.86203601   1.43249005   3.4695323  -0.356080271
## 138    1.53938512   3.86203601   1.43249005   3.4695323  -0.356080271
## 139    1.53938512   3.86203601   1.43249005   3.4695323  -0.356080271
## 140    1.53938512   3.86203601   1.43249005   3.4695323  -0.356080271
## 141    1.53938512   3.86203601   1.43249005   3.4695323  -0.356080271
## 142    1.53938512   3.86203601   1.43249005   3.4695323  -0.356080271
## 143    1.53938512   3.86203601   1.43249005   3.4695323  -0.356080271
## 144    1.53938512   3.86203601   1.43249005   3.4695323  -0.356080271
## 145   -3.89602154 -33.44621448   5.65117941  -4.0927249  -0.039262964
## 146   -3.89602154 -33.44621448   5.65117941  -4.0927249  -0.039262964
## 147   -3.89602154 -33.44621448   5.65117941  -4.0927249  -0.039262964
## 148   -3.89602154 -33.44621448   5.65117941  -4.0927249  -0.039262964
## 149   -3.89602154 -33.44621448   5.65117941  -4.0927249  -0.039262964
## 150   -3.89602154 -33.44621448   5.65117941  -4.0927249  -0.039262964
## 151   -3.89602154 -33.44621448   5.65117941  -4.0927249  -0.039262964
## 152   -3.89602154 -33.44621448   5.65117941  -4.0927249  -0.039262964
## 153    3.14791312  -4.70868051   0.56813083   5.5105905  -2.089081802
## 154    3.14791312  -4.70868051   0.56813083   5.5105905  -2.089081802
## 155    3.14791312  -4.70868051   0.56813083   5.5105905  -2.089081802
## 156    3.14791312  -4.70868051   0.56813083   5.5105905  -2.089081802
## 157    3.14791312  -4.70868051   0.56813083   5.5105905  -2.089081802
## 158    3.14791312  -4.70868051   0.56813083   5.5105905  -2.089081802
## 159    3.14791312  -4.70868051   0.56813083   5.5105905  -2.089081802
## 160    3.14791312  -4.70868051   0.56813083   5.5105905  -2.089081802
## 161    8.69776419 -37.56722454   4.72810251  -1.8951975   1.700106767
## 162    8.69776419 -37.56722454   4.72810251  -1.8951975   1.700106767
## 163    8.69776419 -37.56722454   4.72810251  -1.8951975   1.700106767
## 164    8.69776419 -37.56722454   4.72810251  -1.8951975   1.700106767
## 165    8.69776419 -37.56722454   4.72810251  -1.8951975   1.700106767
## 166    8.69776419 -37.56722454   4.72810251  -1.8951975   1.700106767
## 167    8.69776419 -37.56722454   4.72810251  -1.8951975   1.700106767
## 168    8.69776419 -37.56722454   4.72810251  -1.8951975   1.700106767
## 169    2.71451394   1.98554833  -0.84316421  -0.5780641  -2.994887887
## 170    2.71451394   1.98554833  -0.84316421  -0.5780641  -2.994887887
## 171    2.71451394   1.98554833  -0.84316421  -0.5780641  -2.994887887
## 172    2.71451394   1.98554833  -0.84316421  -0.5780641  -2.994887887
## 173    2.71451394   1.98554833  -0.84316421  -0.5780641  -2.994887887
## 174    2.71451394   1.98554833  -0.84316421  -0.5780641  -2.994887887
## 175    2.71451394   1.98554833  -0.84316421  -0.5780641  -2.994887887
## 176    2.71451394   1.98554833  -0.84316421  -0.5780641  -2.994887887
## 177   -5.06902705  13.44956565  -0.60186765   1.5790055  13.898219424
## 178   -5.06902705  13.44956565  -0.60186765   1.5790055  13.898219424
## 179   -5.06902705  13.44956565  -0.60186765   1.5790055  13.898219424
## 180   -5.06902705  13.44956565  -0.60186765   1.5790055  13.898219424
## 181   -5.06902705  13.44956565  -0.60186765   1.5790055  13.898219424
## 182   -5.06902705  13.44956565  -0.60186765   1.5790055  13.898219424
## 183   -5.06902705  13.44956565  -0.60186765   1.5790055  13.898219424
## 184   -5.06902705  13.44956565  -0.60186765   1.5790055  13.898219424
## 185   -0.19523613  -0.94332462  -1.18797788   7.2255881   0.836408284
## 186   -0.19523613  -0.94332462  -1.18797788   7.2255881   0.836408284
## 187   -0.19523613  -0.94332462  -1.18797788   7.2255881   0.836408284
## 188   -0.19523613  -0.94332462  -1.18797788   7.2255881   0.836408284
## 189   -0.19523613  -0.94332462  -1.18797788   7.2255881   0.836408284
## 190   -0.19523613  -0.94332462  -1.18797788   7.2255881   0.836408284
## 191   -0.19523613  -0.94332462  -1.18797788   7.2255881   0.836408284
## 192   -0.19523613  -0.94332462  -1.18797788   7.2255881   0.836408284
## 193    0.90900562  -2.30163800  18.02123880   3.1946853   0.777953952
## 194    0.90900562  -2.30163800  18.02123880   3.1946853   0.777953952
## 195    0.90900562  -2.30163800  18.02123880   3.1946853   0.777953952
## 196    0.90900562  -2.30163800  18.02123880   3.1946853   0.777953952
## 197    0.90900562  -2.30163800  18.02123880   3.1946853   0.777953952
## 198    0.90900562  -2.30163800  18.02123880   3.1946853   0.777953952
## 199    0.90900562  -2.30163800  18.02123880   3.1946853   0.777953952
## 200    0.90900562  -2.30163800  18.02123880   3.1946853   0.777953952
## 201    0.63436402   0.58232686  -0.78368001 -41.4595829  -1.666293354
## 202    0.63436402   0.58232686  -0.78368001 -41.4595829  -1.666293354
## 203    0.63436402   0.58232686  -0.78368001 -41.4595829  -1.666293354
## 204    0.63436402   0.58232686  -0.78368001 -41.4595829  -1.666293354
## 205    0.63436402   0.58232686  -0.78368001 -41.4595829  -1.666293354
## 206    0.63436402   0.58232686  -0.78368001 -41.4595829  -1.666293354
## 207    0.63436402   0.58232686  -0.78368001 -41.4595829  -1.666293354
## 208    0.63436402   0.58232686  -0.78368001 -41.4595829  -1.666293354
## 209   -1.75133150   1.56450752  -0.75046845 -48.6843174  -2.080735535
## 210   -1.75133150   1.56450752  -0.75046845 -48.6843174  -2.080735535
## 211   -1.75133150   1.56450752  -0.75046845 -48.6843174  -2.080735535
## 212   -1.75133150   1.56450752  -0.75046845 -48.6843174  -2.080735535
## 213   -1.75133150   1.56450752  -0.75046845 -48.6843174  -2.080735535
## 214   -1.75133150   1.56450752  -0.75046845 -48.6843174  -2.080735535
## 215   -1.75133150   1.56450752  -0.75046845 -48.6843174  -2.080735535
## 216   -1.75133150   1.56450752  -0.75046845 -48.6843174  -2.080735535
## 217    0.49857921  -0.53083458  -0.15766711   3.9239079  -1.366401136
## 218    0.49857921  -0.53083458  -0.15766711   3.9239079  -1.366401136
## 219    0.49857921  -0.53083458  -0.15766711   3.9239079  -1.366401136
## 220    0.49857921  -0.53083458  -0.15766711   3.9239079  -1.366401136
## 221    0.49857921  -0.53083458  -0.15766711   3.9239079  -1.366401136
## 222    0.49857921  -0.53083458  -0.15766711   3.9239079  -1.366401136
## 223    0.49857921  -0.53083458  -0.15766711   3.9239079  -1.366401136
## 224    0.49857921  -0.53083458  -0.15766711   3.9239079  -1.366401136
## 225    5.17230254   3.82213129   3.81599734   1.1621889 -12.573475221
## 226    5.17230254   3.82213129   3.81599734   1.1621889 -12.573475221
## 227    5.17230254   3.82213129   3.81599734   1.1621889 -12.573475221
## 228    5.17230254   3.82213129   3.81599734   1.1621889 -12.573475221
## 229    5.17230254   3.82213129   3.81599734   1.1621889 -12.573475221
## 230    5.17230254   3.82213129   3.81599734   1.1621889 -12.573475221
## 231    5.17230254   3.82213129   3.81599734   1.1621889 -12.573475221
## 232    5.17230254   3.82213129   3.81599734   1.1621889 -12.573475221
## 233   -3.33742769   3.27786186  -7.79284252  37.8051213  -0.735798957
## 234   -3.33742769   3.27786186  -7.79284252  37.8051213  -0.735798957
## 235   -3.33742769   3.27786186  -7.79284252  37.8051213  -0.735798957
## 236   -3.33742769   3.27786186  -7.79284252  37.8051213  -0.735798957
## 237   -3.33742769   3.27786186  -7.79284252  37.8051213  -0.735798957
## 238   -3.33742769   3.27786186  -7.79284252  37.8051213  -0.735798957
## 239   -3.33742769   3.27786186  -7.79284252  37.8051213  -0.735798957
## 240   -3.33742769   3.27786186  -7.79284252  37.8051213  -0.735798957
## 241  -45.81960835  26.06890101  15.42137955  -1.2625736   7.300993035
## 242  -45.81960835  26.06890101  15.42137955  -1.2625736   7.300993035
## 243  -45.81960835  26.06890101  15.42137955  -1.2625736   7.300993035
## 244  -45.81960835  26.06890101  15.42137955  -1.2625736   7.300993035
## 245  -45.81960835  26.06890101  15.42137955  -1.2625736   7.300993035
## 246  -45.81960835  26.06890101  15.42137955  -1.2625736   7.300993035
## 247  -45.81960835  26.06890101  15.42137955  -1.2625736   7.300993035
## 248  -45.81960835  26.06890101  15.42137955  -1.2625736   7.300993035
## 249   -3.22419769  22.47448633  11.48563715  -4.0235531   1.597557497
## 250   -3.22419769  22.47448633  11.48563715  -4.0235531   1.597557497
## 251   -3.22419769  22.47448633  11.48563715  -4.0235531   1.597557497
## 252   -3.22419769  22.47448633  11.48563715  -4.0235531   1.597557497
## 253   -3.22419769  22.47448633  11.48563715  -4.0235531   1.597557497
## 254   -3.22419769  22.47448633  11.48563715  -4.0235531   1.597557497
## 255   -3.22419769  22.47448633  11.48563715  -4.0235531   1.597557497
## 256   -3.22419769  22.47448633  11.48563715  -4.0235531   1.597557497
## 257   -1.53184827   4.88185624   1.09076457   2.0008496 -33.280625229
## 258   -1.53184827   4.88185624   1.09076457   2.0008496 -33.280625229
## 259   -1.53184827   4.88185624   1.09076457   2.0008496 -33.280625229
## 260   -1.53184827   4.88185624   1.09076457   2.0008496 -33.280625229
## 261   -1.53184827   4.88185624   1.09076457   2.0008496 -33.280625229
## 262   -1.53184827   4.88185624   1.09076457   2.0008496 -33.280625229
## 263   -1.53184827   4.88185624   1.09076457   2.0008496 -33.280625229
## 264   -1.53184827   4.88185624   1.09076457   2.0008496 -33.280625229
## 265   23.05116262 -23.87450653 -27.88023605  -2.8773738   3.035425807
## 266   23.05116262 -23.87450653 -27.88023605  -2.8773738   3.035425807
## 267   23.05116262 -23.87450653 -27.88023605  -2.8773738   3.035425807
## 268   23.05116262 -23.87450653 -27.88023605  -2.8773738   3.035425807
## 269   23.05116262 -23.87450653 -27.88023605  -2.8773738   3.035425807
## 270   23.05116262 -23.87450653 -27.88023605  -2.8773738   3.035425807
## 271   23.05116262 -23.87450653 -27.88023605  -2.8773738   3.035425807
## 272   23.05116262 -23.87450653 -27.88023605  -2.8773738   3.035425807
## 273    9.87101074  -6.98017885  44.35037588   0.9482794  -2.078737339
## 274    9.87101074  -6.98017885  44.35037588   0.9482794  -2.078737339
## 275    9.87101074  -6.98017885  44.35037588   0.9482794  -2.078737339
## 276    9.87101074  -6.98017885  44.35037588   0.9482794  -2.078737339
## 277    9.87101074  -6.98017885  44.35037588   0.9482794  -2.078737339
## 278    9.87101074  -6.98017885  44.35037588   0.9482794  -2.078737339
## 279    9.87101074  -6.98017885  44.35037588   0.9482794  -2.078737339
## 280    9.87101074  -6.98017885  44.35037588   0.9482794  -2.078737339
## 281   -0.40505256  -6.39639270  10.75885985   0.5752017  -0.660134343
## 282   -0.40505256  -6.39639270  10.75885985   0.5752017  -0.660134343
## 283   -0.40505256  -6.39639270  10.75885985   0.5752017  -0.660134343
## 284   -0.40505256  -6.39639270  10.75885985   0.5752017  -0.660134343
## 285   -0.40505256  -6.39639270  10.75885985   0.5752017  -0.660134343
## 286   -0.40505256  -6.39639270  10.75885985   0.5752017  -0.660134343
## 287   -0.40505256  -6.39639270  10.75885985   0.5752017  -0.660134343
## 288   -0.40505256  -6.39639270  10.75885985   0.5752017  -0.660134343
## 289  -10.09517857  35.67013328   0.17992308   6.3688595  -0.200419119
## 290  -10.09517857  35.67013328   0.17992308   6.3688595  -0.200419119
## 291  -10.09517857  35.67013328   0.17992308   6.3688595  -0.200419119
## 292  -10.09517857  35.67013328   0.17992308   6.3688595  -0.200419119
## 293  -10.09517857  35.67013328   0.17992308   6.3688595  -0.200419119
## 294  -10.09517857  35.67013328   0.17992308   6.3688595  -0.200419119
## 295  -10.09517857  35.67013328   0.17992308   6.3688595  -0.200419119
## 296  -10.09517857  35.67013328   0.17992308   6.3688595  -0.200419119
## 297   -1.01813477   6.94771877   1.17192666   9.8812591 -36.837913857
## 298   -1.01813477   6.94771877   1.17192666   9.8812591 -36.837913857
## 299   -1.01813477   6.94771877   1.17192666   9.8812591 -36.837913857
## 300   -1.01813477   6.94771877   1.17192666   9.8812591 -36.837913857
## 301   -1.01813477   6.94771877   1.17192666   9.8812591 -36.837913857
## 302   -1.01813477   6.94771877   1.17192666   9.8812591 -36.837913857
## 303   -1.01813477   6.94771877   1.17192666   9.8812591 -36.837913857
## 304   -1.01813477   6.94771877   1.17192666   9.8812591 -36.837913857
## 305   -5.40267102   5.10475919   3.52006164  -2.2812384 -14.353615744
## 306   -5.40267102   5.10475919   3.52006164  -2.2812384 -14.353615744
## 307   -5.40267102   5.10475919   3.52006164  -2.2812384 -14.353615744
## 308   -5.40267102   5.10475919   3.52006164  -2.2812384 -14.353615744
## 309   -5.40267102   5.10475919   3.52006164  -2.2812384 -14.353615744
## 310   -5.40267102   5.10475919   3.52006164  -2.2812384 -14.353615744
## 311   -5.40267102   5.10475919   3.52006164  -2.2812384 -14.353615744
## 312   -5.40267102   5.10475919   3.52006164  -2.2812384 -14.353615744
## 313    9.20265013   0.73515890 -22.90671448  -6.2731366   1.685534238
## 314    9.20265013   0.73515890 -22.90671448  -6.2731366   1.685534238
## 315    9.20265013   0.73515890 -22.90671448  -6.2731366   1.685534238
## 316    9.20265013   0.73515890 -22.90671448  -6.2731366   1.685534238
## 317    9.20265013   0.73515890 -22.90671448  -6.2731366   1.685534238
## 318    9.20265013   0.73515890 -22.90671448  -6.2731366   1.685534238
## 319    9.20265013   0.73515890 -22.90671448  -6.2731366   1.685534238
## 320    9.20265013   0.73515890 -22.90671448  -6.2731366   1.685534238
## 321   -7.65647396  -0.13448586 -45.37766361  15.9222573   4.474845394
## 322   -7.65647396  -0.13448586 -45.37766361  15.9222573   4.474845394
## 323   -7.65647396  -0.13448586 -45.37766361  15.9222573   4.474845394
## 324   -7.65647396  -0.13448586 -45.37766361  15.9222573   4.474845394
## 325   -7.65647396  -0.13448586 -45.37766361  15.9222573   4.474845394
## 326   -7.65647396  -0.13448586 -45.37766361  15.9222573   4.474845394
## 327   -7.65647396  -0.13448586 -45.37766361  15.9222573   4.474845394
## 328   -7.65647396  -0.13448586 -45.37766361  15.9222573   4.474845394
## 329   23.54567105  23.53147869  -1.01641520   6.4806320  -1.404729252
## 330   23.54567105  23.53147869  -1.01641520   6.4806320  -1.404729252
## 331   23.54567105  23.53147869  -1.01641520   6.4806320  -1.404729252
## 332   23.54567105  23.53147869  -1.01641520   6.4806320  -1.404729252
## 333   23.54567105  23.53147869  -1.01641520   6.4806320  -1.404729252
## 334   23.54567105  23.53147869  -1.01641520   6.4806320  -1.404729252
## 335   23.54567105  23.53147869  -1.01641520   6.4806320  -1.404729252
## 336   23.54567105  23.53147869  -1.01641520   6.4806320  -1.404729252
## 337    0.24315599   5.81198595  18.37607579  10.6422959   0.138669787
## 338    0.24315599   5.81198595  18.37607579  10.6422959   0.138669787
## 339    0.24315599   5.81198595  18.37607579  10.6422959   0.138669787
## 340    0.24315599   5.81198595  18.37607579  10.6422959   0.138669787
## 341    0.24315599   5.81198595  18.37607579  10.6422959   0.138669787
## 342    0.24315599   5.81198595  18.37607579  10.6422959   0.138669787
## 343    0.24315599   5.81198595  18.37607579  10.6422959   0.138669787
## 344    0.24315599   5.81198595  18.37607579  10.6422959   0.138669787
## 345   -0.53654028   3.77230157   7.03721678 -19.6341700  -0.098711676
## 346   -0.53654028   3.77230157   7.03721678 -19.6341700  -0.098711676
## 347   -0.53654028   3.77230157   7.03721678 -19.6341700  -0.098711676
## 348   -0.53654028   3.77230157   7.03721678 -19.6341700  -0.098711676
## 349   -0.53654028   3.77230157   7.03721678 -19.6341700  -0.098711676
## 350   -0.53654028   3.77230157   7.03721678 -19.6341700  -0.098711676
## 351   -0.53654028   3.77230157   7.03721678 -19.6341700  -0.098711676
## 352   -0.53654028   3.77230157   7.03721678 -19.6341700  -0.098711676
## 353  -23.63284064  23.84034902  -1.13711750  12.1684758   2.199435668
## 354  -23.63284064  23.84034902  -1.13711750  12.1684758   2.199435668
## 355  -23.63284064  23.84034902  -1.13711750  12.1684758   2.199435668
## 356  -23.63284064  23.84034902  -1.13711750  12.1684758   2.199435668
## 357  -23.63284064  23.84034902  -1.13711750  12.1684758   2.199435668
## 358  -23.63284064  23.84034902  -1.13711750  12.1684758   2.199435668
## 359  -23.63284064  23.84034902  -1.13711750  12.1684758   2.199435668
## 360  -23.63284064  23.84034902  -1.13711750  12.1684758   2.199435668
## 361    1.46330610   4.82009041   6.35742382  15.2371489   2.026959888
## 362    1.46330610   4.82009041   6.35742382  15.2371489   2.026959888
## 363    1.46330610   4.82009041   6.35742382  15.2371489   2.026959888
## 364    1.46330610   4.82009041   6.35742382  15.2371489   2.026959888
## 365    1.46330610   4.82009041   6.35742382  15.2371489   2.026959888
## 366    1.46330610   4.82009041   6.35742382  15.2371489   2.026959888
## 367    1.46330610   4.82009041   6.35742382  15.2371489   2.026959888
## 368    1.46330610   4.82009041   6.35742382  15.2371489   2.026959888
## 369  -36.82049911   6.89508631   1.32005670  -3.6089627 -10.026254786
## 370  -36.82049911   6.89508631   1.32005670  -3.6089627 -10.026254786
## 371  -36.82049911   6.89508631   1.32005670  -3.6089627 -10.026254786
## 372  -36.82049911   6.89508631   1.32005670  -3.6089627 -10.026254786
## 373  -36.82049911   6.89508631   1.32005670  -3.6089627 -10.026254786
## 374  -36.82049911   6.89508631   1.32005670  -3.6089627 -10.026254786
## 375  -36.82049911   6.89508631   1.32005670  -3.6089627 -10.026254786
## 376  -36.82049911   6.89508631   1.32005670  -3.6089627 -10.026254786
## 377  -25.25617461  -3.29292942   6.02783789   2.1888720  -3.862391970
## 378  -25.25617461  -3.29292942   6.02783789   2.1888720  -3.862391970
## 379  -25.25617461  -3.29292942   6.02783789   2.1888720  -3.862391970
## 380  -25.25617461  -3.29292942   6.02783789   2.1888720  -3.862391970
## 381  -25.25617461  -3.29292942   6.02783789   2.1888720  -3.862391970
## 382  -25.25617461  -3.29292942   6.02783789   2.1888720  -3.862391970
## 383  -25.25617461  -3.29292942   6.02783789   2.1888720  -3.862391970
## 384  -25.25617461  -3.29292942   6.02783789   2.1888720  -3.862391970
## 385    0.54078291  10.24853239  -2.23796933   0.5320607  57.904924315
## 386    0.54078291  10.24853239  -2.23796933   0.5320607  57.904924315
## 387    0.54078291  10.24853239  -2.23796933   0.5320607  57.904924315
## 388    0.54078291  10.24853239  -2.23796933   0.5320607  57.904924315
## 389    0.54078291  10.24853239  -2.23796933   0.5320607  57.904924315
## 390    0.54078291  10.24853239  -2.23796933   0.5320607  57.904924315
## 391    0.54078291  10.24853239  -2.23796933   0.5320607  57.904924315
## 392    0.54078291  10.24853239  -2.23796933   0.5320607  57.904924315
## 393    0.66729811   4.71684127   1.51935072   4.3669131  20.143463307
## 394    0.66729811   4.71684127   1.51935072   4.3669131  20.143463307
## 395    0.66729811   4.71684127   1.51935072   4.3669131  20.143463307
## 396    0.66729811   4.71684127   1.51935072   4.3669131  20.143463307
## 397    0.66729811   4.71684127   1.51935072   4.3669131  20.143463307
## 398    0.66729811   4.71684127   1.51935072   4.3669131  20.143463307
## 399    0.66729811   4.71684127   1.51935072   4.3669131  20.143463307
## 400    0.66729811   4.71684127   1.51935072   4.3669131  20.143463307
## 401    2.32039091  -4.61252688  -9.72806095  -5.4608443  -2.425089630
## 402    2.32039091  -4.61252688  -9.72806095  -5.4608443  -2.425089630
## 403    2.32039091  -4.61252688  -9.72806095  -5.4608443  -2.425089630
## 404    2.32039091  -4.61252688  -9.72806095  -5.4608443  -2.425089630
## 405    2.32039091  -4.61252688  -9.72806095  -5.4608443  -2.425089630
## 406    2.32039091  -4.61252688  -9.72806095  -5.4608443  -2.425089630
## 407    2.32039091  -4.61252688  -9.72806095  -5.4608443  -2.425089630
## 408    2.32039091  -4.61252688  -9.72806095  -5.4608443  -2.425089630
## 409   15.04638455   8.95839996 -11.86790359  -3.9568640  -3.274012041
## 410   15.04638455   8.95839996 -11.86790359  -3.9568640  -3.274012041
## 411   15.04638455   8.95839996 -11.86790359  -3.9568640  -3.274012041
## 412   15.04638455   8.95839996 -11.86790359  -3.9568640  -3.274012041
## 413   15.04638455   8.95839996 -11.86790359  -3.9568640  -3.274012041
## 414   15.04638455   8.95839996 -11.86790359  -3.9568640  -3.274012041
## 415   15.04638455   8.95839996 -11.86790359  -3.9568640  -3.274012041
## 416   15.04638455   8.95839996 -11.86790359  -3.9568640  -3.274012041
## 417    8.93542501  -0.98498236   2.51026595   5.0883172  -3.050946696
## 418    8.93542501  -0.98498236   2.51026595   5.0883172  -3.050946696
## 419    8.93542501  -0.98498236   2.51026595   5.0883172  -3.050946696
## 420    8.93542501  -0.98498236   2.51026595   5.0883172  -3.050946696
## 421    8.93542501  -0.98498236   2.51026595   5.0883172  -3.050946696
## 422    8.93542501  -0.98498236   2.51026595   5.0883172  -3.050946696
## 423    8.93542501  -0.98498236   2.51026595   5.0883172  -3.050946696
## 424    8.93542501  -0.98498236   2.51026595   5.0883172  -3.050946696
## 425    3.04505287  -6.37705258 -17.33387150  -4.5723655   2.162005279
## 426    3.04505287  -6.37705258 -17.33387150  -4.5723655   2.162005279
## 427    3.04505287  -6.37705258 -17.33387150  -4.5723655   2.162005279
## 428    3.04505287  -6.37705258 -17.33387150  -4.5723655   2.162005279
## 429    3.04505287  -6.37705258 -17.33387150  -4.5723655   2.162005279
## 430    3.04505287  -6.37705258 -17.33387150  -4.5723655   2.162005279
## 431    3.04505287  -6.37705258 -17.33387150  -4.5723655   2.162005279
## 432    3.04505287  -6.37705258 -17.33387150  -4.5723655   2.162005279
## 433   -0.02445028  44.89728565  -1.50560851   5.1879331  -3.160769206
## 434   -0.02445028  44.89728565  -1.50560851   5.1879331  -3.160769206
## 435   -0.02445028  44.89728565  -1.50560851   5.1879331  -3.160769206
## 436   -0.02445028  44.89728565  -1.50560851   5.1879331  -3.160769206
## 437   -0.02445028  44.89728565  -1.50560851   5.1879331  -3.160769206
## 438   -0.02445028  44.89728565  -1.50560851   5.1879331  -3.160769206
## 439   -0.02445028  44.89728565  -1.50560851   5.1879331  -3.160769206
## 440   -0.02445028  44.89728565  -1.50560851   5.1879331  -3.160769206
## 441   -1.45216054  -1.97530945  -1.51211938 -17.6297186   1.269752749
## 442   -1.45216054  -1.97530945  -1.51211938 -17.6297186   1.269752749
## 443   -1.45216054  -1.97530945  -1.51211938 -17.6297186   1.269752749
## 444   -1.45216054  -1.97530945  -1.51211938 -17.6297186   1.269752749
## 445   -1.45216054  -1.97530945  -1.51211938 -17.6297186   1.269752749
## 446   -1.45216054  -1.97530945  -1.51211938 -17.6297186   1.269752749
## 447   -1.45216054  -1.97530945  -1.51211938 -17.6297186   1.269752749
## 448   -1.45216054  -1.97530945  -1.51211938 -17.6297186   1.269752749
## 449    4.10115049  -7.80515553  -5.78317508  -1.2628217  -1.277285187
## 450    4.10115049  -7.80515553  -5.78317508  -1.2628217  -1.277285187
## 451    4.10115049  -7.80515553  -5.78317508  -1.2628217  -1.277285187
## 452    4.10115049  -7.80515553  -5.78317508  -1.2628217  -1.277285187
## 453    4.10115049  -7.80515553  -5.78317508  -1.2628217  -1.277285187
## 454    4.10115049  -7.80515553  -5.78317508  -1.2628217  -1.277285187
## 455    4.10115049  -7.80515553  -5.78317508  -1.2628217  -1.277285187
## 456    4.10115049  -7.80515553  -5.78317508  -1.2628217  -1.277285187
## 457  -16.47104077  -9.97792178 -13.95367074   4.2385016  10.595037163
## 458  -16.47104077  -9.97792178 -13.95367074   4.2385016  10.595037163
## 459  -16.47104077  -9.97792178 -13.95367074   4.2385016  10.595037163
## 460  -16.47104077  -9.97792178 -13.95367074   4.2385016  10.595037163
## 461  -16.47104077  -9.97792178 -13.95367074   4.2385016  10.595037163
## 462  -16.47104077  -9.97792178 -13.95367074   4.2385016  10.595037163
## 463  -16.47104077  -9.97792178 -13.95367074   4.2385016  10.595037163
## 464  -16.47104077  -9.97792178 -13.95367074   4.2385016  10.595037163
## 465    6.56991333 -11.09093425  -9.83278954   7.4376199   1.026398999
## 466    6.56991333 -11.09093425  -9.83278954   7.4376199   1.026398999
## 467    6.56991333 -11.09093425  -9.83278954   7.4376199   1.026398999
## 468    6.56991333 -11.09093425  -9.83278954   7.4376199   1.026398999
## 469    6.56991333 -11.09093425  -9.83278954   7.4376199   1.026398999
## 470    6.56991333 -11.09093425  -9.83278954   7.4376199   1.026398999
## 471    6.56991333 -11.09093425  -9.83278954   7.4376199   1.026398999
## 472    6.56991333 -11.09093425  -9.83278954   7.4376199   1.026398999
## 473   -1.78820120  -0.37270009 -12.75757040  48.3414456  -0.352409743
## 474   -1.78820120  -0.37270009 -12.75757040  48.3414456  -0.352409743
## 475   -1.78820120  -0.37270009 -12.75757040  48.3414456  -0.352409743
## 476   -1.78820120  -0.37270009 -12.75757040  48.3414456  -0.352409743
## 477   -1.78820120  -0.37270009 -12.75757040  48.3414456  -0.352409743
## 478   -1.78820120  -0.37270009 -12.75757040  48.3414456  -0.352409743
## 479   -1.78820120  -0.37270009 -12.75757040  48.3414456  -0.352409743
## 480   -1.78820120  -0.37270009 -12.75757040  48.3414456  -0.352409743
## 481    3.49296439  -3.40222101   7.65460364 -28.4520109  -2.124963235
## 482    3.49296439  -3.40222101   7.65460364 -28.4520109  -2.124963235
## 483    3.49296439  -3.40222101   7.65460364 -28.4520109  -2.124963235
## 484    3.49296439  -3.40222101   7.65460364 -28.4520109  -2.124963235
## 485    3.49296439  -3.40222101   7.65460364 -28.4520109  -2.124963235
## 486    3.49296439  -3.40222101   7.65460364 -28.4520109  -2.124963235
## 487    3.49296439  -3.40222101   7.65460364 -28.4520109  -2.124963235
## 488    3.49296439  -3.40222101   7.65460364 -28.4520109  -2.124963235
## 489    2.74124523   1.19159476   4.63482762   2.8990059   0.869400550
## 490    2.74124523   1.19159476   4.63482762   2.8990059   0.869400550
## 491    2.74124523   1.19159476   4.63482762   2.8990059   0.869400550
## 492    2.74124523   1.19159476   4.63482762   2.8990059   0.869400550
## 493    2.74124523   1.19159476   4.63482762   2.8990059   0.869400550
## 494    2.74124523   1.19159476   4.63482762   2.8990059   0.869400550
## 495    2.74124523   1.19159476   4.63482762   2.8990059   0.869400550
## 496    2.74124523   1.19159476   4.63482762   2.8990059   0.869400550
## 497    6.62384058  11.72502384  -2.39396346   2.7892988  -6.323165981
## 498    6.62384058  11.72502384  -2.39396346   2.7892988  -6.323165981
## 499    6.62384058  11.72502384  -2.39396346   2.7892988  -6.323165981
## 500    6.62384058  11.72502384  -2.39396346   2.7892988  -6.323165981
## 501    6.62384058  11.72502384  -2.39396346   2.7892988  -6.323165981
## 502    6.62384058  11.72502384  -2.39396346   2.7892988  -6.323165981
## 503    6.62384058  11.72502384  -2.39396346   2.7892988  -6.323165981
## 504    6.62384058  11.72502384  -2.39396346   2.7892988  -6.323165981
## 505    3.46718994  -3.27369214  -0.32483725  -0.0742946  -0.909313106
## 506    3.46718994  -3.27369214  -0.32483725  -0.0742946  -0.909313106
## 507    3.46718994  -3.27369214  -0.32483725  -0.0742946  -0.909313106
## 508    3.46718994  -3.27369214  -0.32483725  -0.0742946  -0.909313106
## 509    3.46718994  -3.27369214  -0.32483725  -0.0742946  -0.909313106
## 510    3.46718994  -3.27369214  -0.32483725  -0.0742946  -0.909313106
## 511    3.46718994  -3.27369214  -0.32483725  -0.0742946  -0.909313106
## 512    3.46718994  -3.27369214  -0.32483725  -0.0742946  -0.909313106
## 513    2.94909116   4.11541244 -20.86921868   7.8161911  -2.238913866
## 514    2.94909116   4.11541244 -20.86921868   7.8161911  -2.238913866
## 515    2.94909116   4.11541244 -20.86921868   7.8161911  -2.238913866
## 516    2.94909116   4.11541244 -20.86921868   7.8161911  -2.238913866
## 517    2.94909116   4.11541244 -20.86921868   7.8161911  -2.238913866
## 518    2.94909116   4.11541244 -20.86921868   7.8161911  -2.238913866
## 519    2.94909116   4.11541244 -20.86921868   7.8161911  -2.238913866
## 520    2.94909116   4.11541244 -20.86921868   7.8161911  -2.238913866
## 521   -7.84805827   9.44220107  20.79879876   5.9579965   1.431566865
## 522   -7.84805827   9.44220107  20.79879876   5.9579965   1.431566865
## 523   -7.84805827   9.44220107  20.79879876   5.9579965   1.431566865
## 524   -7.84805827   9.44220107  20.79879876   5.9579965   1.431566865
## 525   -7.84805827   9.44220107  20.79879876   5.9579965   1.431566865
## 526   -7.84805827   9.44220107  20.79879876   5.9579965   1.431566865
## 527   -7.84805827   9.44220107  20.79879876   5.9579965   1.431566865
## 528   -7.84805827   9.44220107  20.79879876   5.9579965   1.431566865
## 529   -1.55811398 -10.57349526   1.18641660  33.3429540   1.318744943
## 530   -1.55811398 -10.57349526   1.18641660  33.3429540   1.318744943
## 531   -1.55811398 -10.57349526   1.18641660  33.3429540   1.318744943
## 532   -1.55811398 -10.57349526   1.18641660  33.3429540   1.318744943
## 533   -1.55811398 -10.57349526   1.18641660  33.3429540   1.318744943
## 534   -1.55811398 -10.57349526   1.18641660  33.3429540   1.318744943
## 535   -1.55811398 -10.57349526   1.18641660  33.3429540   1.318744943
## 536   -1.55811398 -10.57349526   1.18641660  33.3429540   1.318744943
## 537   -3.81399428  38.71559649 -12.14029215  -0.2415626  -5.676855983
## 538   -3.81399428  38.71559649 -12.14029215  -0.2415626  -5.676855983
## 539   -3.81399428  38.71559649 -12.14029215  -0.2415626  -5.676855983
## 540   -3.81399428  38.71559649 -12.14029215  -0.2415626  -5.676855983
## 541   -3.81399428  38.71559649 -12.14029215  -0.2415626  -5.676855983
## 542   -3.81399428  38.71559649 -12.14029215  -0.2415626  -5.676855983
## 543   -3.81399428  38.71559649 -12.14029215  -0.2415626  -5.676855983
## 544   -3.81399428  38.71559649 -12.14029215  -0.2415626  -5.676855983
## 545   -4.24883167  -3.15363798  -3.91312281   1.3592173  10.344103112
## 546   -4.24883167  -3.15363798  -3.91312281   1.3592173  10.344103112
## 547   -4.24883167  -3.15363798  -3.91312281   1.3592173  10.344103112
## 548   -4.24883167  -3.15363798  -3.91312281   1.3592173  10.344103112
## 549   -4.24883167  -3.15363798  -3.91312281   1.3592173  10.344103112
## 550   -4.24883167  -3.15363798  -3.91312281   1.3592173  10.344103112
## 551   -4.24883167  -3.15363798  -3.91312281   1.3592173  10.344103112
## 552   -4.24883167  -3.15363798  -3.91312281   1.3592173  10.344103112
## 553    0.90069086   6.79054327  -1.38786595  12.5088497   1.130974760
## 554    0.90069086   6.79054327  -1.38786595  12.5088497   1.130974760
## 555    0.90069086   6.79054327  -1.38786595  12.5088497   1.130974760
## 556    0.90069086   6.79054327  -1.38786595  12.5088497   1.130974760
## 557    0.90069086   6.79054327  -1.38786595  12.5088497   1.130974760
## 558    0.90069086   6.79054327  -1.38786595  12.5088497   1.130974760
## 559    0.90069086   6.79054327  -1.38786595  12.5088497   1.130974760
## 560    0.90069086   6.79054327  -1.38786595  12.5088497   1.130974760
## 561    8.54483196   9.96215221   0.21464211   3.7346548  -0.943625444
## 562    8.54483196   9.96215221   0.21464211   3.7346548  -0.943625444
## 563    8.54483196   9.96215221   0.21464211   3.7346548  -0.943625444
## 564    8.54483196   9.96215221   0.21464211   3.7346548  -0.943625444
## 565    8.54483196   9.96215221   0.21464211   3.7346548  -0.943625444
## 566    8.54483196   9.96215221   0.21464211   3.7346548  -0.943625444
## 567    8.54483196   9.96215221   0.21464211   3.7346548  -0.943625444
## 568    8.54483196   9.96215221   0.21464211   3.7346548  -0.943625444
## 569    0.05475242  -2.85083897   5.73287997  -0.1145718  -8.347207208
## 570    0.05475242  -2.85083897   5.73287997  -0.1145718  -8.347207208
## 571    0.05475242  -2.85083897   5.73287997  -0.1145718  -8.347207208
## 572    0.05475242  -2.85083897   5.73287997  -0.1145718  -8.347207208
## 573    0.05475242  -2.85083897   5.73287997  -0.1145718  -8.347207208
## 574    0.05475242  -2.85083897   5.73287997  -0.1145718  -8.347207208
## 575    0.05475242  -2.85083897   5.73287997  -0.1145718  -8.347207208
## 576    0.05475242  -2.85083897   5.73287997  -0.1145718  -8.347207208
## 577  -33.25987446 -13.14138104  -6.55368814   5.9749365  -4.045963025
## 578  -33.25987446 -13.14138104  -6.55368814   5.9749365  -4.045963025
## 579  -33.25987446 -13.14138104  -6.55368814   5.9749365  -4.045963025
## 580  -33.25987446 -13.14138104  -6.55368814   5.9749365  -4.045963025
## 581  -33.25987446 -13.14138104  -6.55368814   5.9749365  -4.045963025
## 582  -33.25987446 -13.14138104  -6.55368814   5.9749365  -4.045963025
## 583  -33.25987446 -13.14138104  -6.55368814   5.9749365  -4.045963025
## 584  -33.25987446 -13.14138104  -6.55368814   5.9749365  -4.045963025
## 585    4.11554780  -2.25511263   1.12285251  -2.4494043   1.935182737
## 586    4.11554780  -2.25511263   1.12285251  -2.4494043   1.935182737
## 587    4.11554780  -2.25511263   1.12285251  -2.4494043   1.935182737
## 588    4.11554780  -2.25511263   1.12285251  -2.4494043   1.935182737
## 589    4.11554780  -2.25511263   1.12285251  -2.4494043   1.935182737
## 590    4.11554780  -2.25511263   1.12285251  -2.4494043   1.935182737
## 591    4.11554780  -2.25511263   1.12285251  -2.4494043   1.935182737
## 592    4.11554780  -2.25511263   1.12285251  -2.4494043   1.935182737
## 593    2.96389168   0.91104849   3.42748325  -0.8878617   1.139388722
## 594    2.96389168   0.91104849   3.42748325  -0.8878617   1.139388722
## 595    2.96389168   0.91104849   3.42748325  -0.8878617   1.139388722
## 596    2.96389168   0.91104849   3.42748325  -0.8878617   1.139388722
## 597    2.96389168   0.91104849   3.42748325  -0.8878617   1.139388722
## 598    2.96389168   0.91104849   3.42748325  -0.8878617   1.139388722
## 599    2.96389168   0.91104849   3.42748325  -0.8878617   1.139388722
## 600    2.96389168   0.91104849   3.42748325  -0.8878617   1.139388722
## 601   -2.53718755  -0.07231114   1.01583140   6.4920173 -11.282780486
## 602   -2.53718755  -0.07231114   1.01583140   6.4920173 -11.282780486
## 603   -2.53718755  -0.07231114   1.01583140   6.4920173 -11.282780486
## 604   -2.53718755  -0.07231114   1.01583140   6.4920173 -11.282780486
## 605   -2.53718755  -0.07231114   1.01583140   6.4920173 -11.282780486
## 606   -2.53718755  -0.07231114   1.01583140   6.4920173 -11.282780486
## 607   -2.53718755  -0.07231114   1.01583140   6.4920173 -11.282780486
## 608   -2.53718755  -0.07231114   1.01583140   6.4920173 -11.282780486
## 609   -7.80803933  -7.04630976  -1.03289228   5.3272809  -7.061407686
## 610   -7.80803933  -7.04630976  -1.03289228   5.3272809  -7.061407686
## 611   -7.80803933  -7.04630976  -1.03289228   5.3272809  -7.061407686
## 612   -7.80803933  -7.04630976  -1.03289228   5.3272809  -7.061407686
## 613   -7.80803933  -7.04630976  -1.03289228   5.3272809  -7.061407686
## 614   -7.80803933  -7.04630976  -1.03289228   5.3272809  -7.061407686
## 615   -7.80803933  -7.04630976  -1.03289228   5.3272809  -7.061407686
## 616   -7.80803933  -7.04630976  -1.03289228   5.3272809  -7.061407686
## 617   39.19207372  -7.70911548  -6.93621500   1.9258201  -1.501718284
## 618   39.19207372  -7.70911548  -6.93621500   1.9258201  -1.501718284
## 619   39.19207372  -7.70911548  -6.93621500   1.9258201  -1.501718284
## 620   39.19207372  -7.70911548  -6.93621500   1.9258201  -1.501718284
## 621   39.19207372  -7.70911548  -6.93621500   1.9258201  -1.501718284
## 622   39.19207372  -7.70911548  -6.93621500   1.9258201  -1.501718284
## 623   39.19207372  -7.70911548  -6.93621500   1.9258201  -1.501718284
## 624   39.19207372  -7.70911548  -6.93621500   1.9258201  -1.501718284
## 625   -4.66485278  -2.14428687  15.67512950   3.0712608  -0.856103026
## 626   -4.66485278  -2.14428687  15.67512950   3.0712608  -0.856103026
## 627   -4.66485278  -2.14428687  15.67512950   3.0712608  -0.856103026
## 628   -4.66485278  -2.14428687  15.67512950   3.0712608  -0.856103026
## 629   -4.66485278  -2.14428687  15.67512950   3.0712608  -0.856103026
## 630   -4.66485278  -2.14428687  15.67512950   3.0712608  -0.856103026
## 631   -4.66485278  -2.14428687  15.67512950   3.0712608  -0.856103026
## 632   -4.66485278  -2.14428687  15.67512950   3.0712608  -0.856103026
## 633  -21.33805481  -7.50128611  -1.35733580  -2.6172485  -7.467626256
## 634  -21.33805481  -7.50128611  -1.35733580  -2.6172485  -7.467626256
## 635  -21.33805481  -7.50128611  -1.35733580  -2.6172485  -7.467626256
## 636  -21.33805481  -7.50128611  -1.35733580  -2.6172485  -7.467626256
## 637  -21.33805481  -7.50128611  -1.35733580  -2.6172485  -7.467626256
## 638  -21.33805481  -7.50128611  -1.35733580  -2.6172485  -7.467626256
## 639  -21.33805481  -7.50128611  -1.35733580  -2.6172485  -7.467626256
## 640  -21.33805481  -7.50128611  -1.35733580  -2.6172485  -7.467626256
## 641    3.14555061   1.20301182   2.95604654  28.3788439   2.246490442
## 642    3.14555061   1.20301182   2.95604654  28.3788439   2.246490442
## 643    3.14555061   1.20301182   2.95604654  28.3788439   2.246490442
## 644    3.14555061   1.20301182   2.95604654  28.3788439   2.246490442
## 645    3.14555061   1.20301182   2.95604654  28.3788439   2.246490442
## 646    3.14555061   1.20301182   2.95604654  28.3788439   2.246490442
## 647    3.14555061   1.20301182   2.95604654  28.3788439   2.246490442
## 648    3.14555061   1.20301182   2.95604654  28.3788439   2.246490442
## 649  -15.85990057 -27.63007049   7.48731294  -0.7682393   5.656151671
## 650  -15.85990057 -27.63007049   7.48731294  -0.7682393   5.656151671
## 651  -15.85990057 -27.63007049   7.48731294  -0.7682393   5.656151671
## 652  -15.85990057 -27.63007049   7.48731294  -0.7682393   5.656151671
## 653  -15.85990057 -27.63007049   7.48731294  -0.7682393   5.656151671
## 654  -15.85990057 -27.63007049   7.48731294  -0.7682393   5.656151671
## 655  -15.85990057 -27.63007049   7.48731294  -0.7682393   5.656151671
## 656  -15.85990057 -27.63007049   7.48731294  -0.7682393   5.656151671
## 657   10.09541526  -7.83320895 -12.79157186  -6.6592833  -3.554421277
## 658   10.09541526  -7.83320895 -12.79157186  -6.6592833  -3.554421277
## 659   10.09541526  -7.83320895 -12.79157186  -6.6592833  -3.554421277
## 660   10.09541526  -7.83320895 -12.79157186  -6.6592833  -3.554421277
## 661   10.09541526  -7.83320895 -12.79157186  -6.6592833  -3.554421277
## 662   10.09541526  -7.83320895 -12.79157186  -6.6592833  -3.554421277
## 663   10.09541526  -7.83320895 -12.79157186  -6.6592833  -3.554421277
## 664   10.09541526  -7.83320895 -12.79157186  -6.6592833  -3.554421277
## 665    1.68592968   4.66906210  -7.08445229 -57.3432551   0.643150901
## 666    1.68592968   4.66906210  -7.08445229 -57.3432551   0.643150901
## 667    1.68592968   4.66906210  -7.08445229 -57.3432551   0.643150901
## 668    1.68592968   4.66906210  -7.08445229 -57.3432551   0.643150901
## 669    1.68592968   4.66906210  -7.08445229 -57.3432551   0.643150901
## 670    1.68592968   4.66906210  -7.08445229 -57.3432551   0.643150901
## 671    1.68592968   4.66906210  -7.08445229 -57.3432551   0.643150901
## 672    1.68592968   4.66906210  -7.08445229 -57.3432551   0.643150901
## 673    1.09525963  -1.96753516   2.01061253   2.6286558  -0.145963315
## 674    1.09525963  -1.96753516   2.01061253   2.6286558  -0.145963315
## 675    1.09525963  -1.96753516   2.01061253   2.6286558  -0.145963315
## 676    1.09525963  -1.96753516   2.01061253   2.6286558  -0.145963315
## 677    1.09525963  -1.96753516   2.01061253   2.6286558  -0.145963315
## 678    1.09525963  -1.96753516   2.01061253   2.6286558  -0.145963315
## 679    1.09525963  -1.96753516   2.01061253   2.6286558  -0.145963315
## 680    1.09525963  -1.96753516   2.01061253   2.6286558  -0.145963315
## 681    9.10896163  -2.80025792   8.79947930  48.5684986  -0.396087606
## 682    9.10896163  -2.80025792   8.79947930  48.5684986  -0.396087606
## 683    9.10896163  -2.80025792   8.79947930  48.5684986  -0.396087606
## 684    9.10896163  -2.80025792   8.79947930  48.5684986  -0.396087606
## 685    9.10896163  -2.80025792   8.79947930  48.5684986  -0.396087606
## 686    9.10896163  -2.80025792   8.79947930  48.5684986  -0.396087606
## 687    9.10896163  -2.80025792   8.79947930  48.5684986  -0.396087606
## 688    9.10896163  -2.80025792   8.79947930  48.5684986  -0.396087606
## 689   -0.48520404  -0.46244760   4.40977274  -2.2638722 -39.536674935
## 690   -0.48520404  -0.46244760   4.40977274  -2.2638722 -39.536674935
## 691   -0.48520404  -0.46244760   4.40977274  -2.2638722 -39.536674935
## 692   -0.48520404  -0.46244760   4.40977274  -2.2638722 -39.536674935
## 693   -0.48520404  -0.46244760   4.40977274  -2.2638722 -39.536674935
## 694   -0.48520404  -0.46244760   4.40977274  -2.2638722 -39.536674935
## 695   -0.48520404  -0.46244760   4.40977274  -2.2638722 -39.536674935
## 696   -0.48520404  -0.46244760   4.40977274  -2.2638722 -39.536674935
## 697    7.58316600  -5.08058741  -9.62146904  30.3064663  -2.924561143
## 698    7.58316600  -5.08058741  -9.62146904  30.3064663  -2.924561143
## 699    7.58316600  -5.08058741  -9.62146904  30.3064663  -2.924561143
## 700    7.58316600  -5.08058741  -9.62146904  30.3064663  -2.924561143
## 701    7.58316600  -5.08058741  -9.62146904  30.3064663  -2.924561143
## 702    7.58316600  -5.08058741  -9.62146904  30.3064663  -2.924561143
## 703    7.58316600  -5.08058741  -9.62146904  30.3064663  -2.924561143
## 704    7.58316600  -5.08058741  -9.62146904  30.3064663  -2.924561143
## 705   -8.20299361   1.19934648   3.53738412   3.4493909   4.584896609
## 706   -8.20299361   1.19934648   3.53738412   3.4493909   4.584896609
## 707   -8.20299361   1.19934648   3.53738412   3.4493909   4.584896609
## 708   -8.20299361   1.19934648   3.53738412   3.4493909   4.584896609
## 709   -8.20299361   1.19934648   3.53738412   3.4493909   4.584896609
## 710   -8.20299361   1.19934648   3.53738412   3.4493909   4.584896609
## 711   -8.20299361   1.19934648   3.53738412   3.4493909   4.584896609
## 712   -8.20299361   1.19934648   3.53738412   3.4493909   4.584896609
## 713   -3.46250081   7.23583214   0.27705529   0.6818432  17.375730525
## 714   -3.46250081   7.23583214   0.27705529   0.6818432  17.375730525
## 715   -3.46250081   7.23583214   0.27705529   0.6818432  17.375730525
## 716   -3.46250081   7.23583214   0.27705529   0.6818432  17.375730525
## 717   -3.46250081   7.23583214   0.27705529   0.6818432  17.375730525
## 718   -3.46250081   7.23583214   0.27705529   0.6818432  17.375730525
## 719   -3.46250081   7.23583214   0.27705529   0.6818432  17.375730525
## 720   -3.46250081   7.23583214   0.27705529   0.6818432  17.375730525
## 721  -10.99666230   6.76325142  10.88689465  -3.0333295  -3.832930300
## 722  -10.99666230   6.76325142  10.88689465  -3.0333295  -3.832930300
## 723  -10.99666230   6.76325142  10.88689465  -3.0333295  -3.832930300
## 724  -10.99666230   6.76325142  10.88689465  -3.0333295  -3.832930300
## 725  -10.99666230   6.76325142  10.88689465  -3.0333295  -3.832930300
## 726  -10.99666230   6.76325142  10.88689465  -3.0333295  -3.832930300
## 727  -10.99666230   6.76325142  10.88689465  -3.0333295  -3.832930300
## 728  -10.99666230   6.76325142  10.88689465  -3.0333295  -3.832930300
## 729    2.77505772   3.82505723  -2.06135464 -11.7446531  -0.669229848
## 730    2.77505772   3.82505723  -2.06135464 -11.7446531  -0.669229848
## 731    2.77505772   3.82505723  -2.06135464 -11.7446531  -0.669229848
## 732    2.77505772   3.82505723  -2.06135464 -11.7446531  -0.669229848
## 733    2.77505772   3.82505723  -2.06135464 -11.7446531  -0.669229848
## 734    2.77505772   3.82505723  -2.06135464 -11.7446531  -0.669229848
## 735    2.77505772   3.82505723  -2.06135464 -11.7446531  -0.669229848
## 736    2.77505772   3.82505723  -2.06135464 -11.7446531  -0.669229848
## 737    2.29355599 -11.72280279  -2.73959074   2.7260667   6.088290482
## 738    2.29355599 -11.72280279  -2.73959074   2.7260667   6.088290482
## 739    2.29355599 -11.72280279  -2.73959074   2.7260667   6.088290482
## 740    2.29355599 -11.72280279  -2.73959074   2.7260667   6.088290482
## 741    2.29355599 -11.72280279  -2.73959074   2.7260667   6.088290482
## 742    2.29355599 -11.72280279  -2.73959074   2.7260667   6.088290482
## 743    2.29355599 -11.72280279  -2.73959074   2.7260667   6.088290482
## 744    2.29355599 -11.72280279  -2.73959074   2.7260667   6.088290482
## 745  -12.44090565   2.40484745   7.86546529   3.4574216 -33.881285115
## 746  -12.44090565   2.40484745   7.86546529   3.4574216 -33.881285115
## 747  -12.44090565   2.40484745   7.86546529   3.4574216 -33.881285115
## 748  -12.44090565   2.40484745   7.86546529   3.4574216 -33.881285115
## 749  -12.44090565   2.40484745   7.86546529   3.4574216 -33.881285115
## 750  -12.44090565   2.40484745   7.86546529   3.4574216 -33.881285115
## 751  -12.44090565   2.40484745   7.86546529   3.4574216 -33.881285115
## 752  -12.44090565   2.40484745   7.86546529   3.4574216 -33.881285115
## 753   16.94425132  -6.41620268   2.16853068   3.6719108  -2.355397440
## 754   16.94425132  -6.41620268   2.16853068   3.6719108  -2.355397440
## 755   16.94425132  -6.41620268   2.16853068   3.6719108  -2.355397440
## 756   16.94425132  -6.41620268   2.16853068   3.6719108  -2.355397440
## 757   16.94425132  -6.41620268   2.16853068   3.6719108  -2.355397440
## 758   16.94425132  -6.41620268   2.16853068   3.6719108  -2.355397440
## 759   16.94425132  -6.41620268   2.16853068   3.6719108  -2.355397440
## 760   16.94425132  -6.41620268   2.16853068   3.6719108  -2.355397440
## 761  -12.53729384 -44.76099809  22.41375648   2.9350288   4.499059325
## 762  -12.53729384 -44.76099809  22.41375648   2.9350288   4.499059325
## 763  -12.53729384 -44.76099809  22.41375648   2.9350288   4.499059325
## 764  -12.53729384 -44.76099809  22.41375648   2.9350288   4.499059325
## 765  -12.53729384 -44.76099809  22.41375648   2.9350288   4.499059325
## 766  -12.53729384 -44.76099809  22.41375648   2.9350288   4.499059325
## 767  -12.53729384 -44.76099809  22.41375648   2.9350288   4.499059325
## 768  -12.53729384 -44.76099809  22.41375648   2.9350288   4.499059325
## 769   -7.65407245  -2.66078549   4.01033381   1.7810155  17.976891919
## 770   -7.65407245  -2.66078549   4.01033381   1.7810155  17.976891919
## 771   -7.65407245  -2.66078549   4.01033381   1.7810155  17.976891919
## 772   -7.65407245  -2.66078549   4.01033381   1.7810155  17.976891919
## 773   -7.65407245  -2.66078549   4.01033381   1.7810155  17.976891919
## 774   -7.65407245  -2.66078549   4.01033381   1.7810155  17.976891919
## 775   -7.65407245  -2.66078549   4.01033381   1.7810155  17.976891919
## 776   -7.65407245  -2.66078549   4.01033381   1.7810155  17.976891919
## 777   -7.08636965 -22.00903719 -22.55826552  -2.2863602  -8.566504929
## 778   -7.08636965 -22.00903719 -22.55826552  -2.2863602  -8.566504929
## 779   -7.08636965 -22.00903719 -22.55826552  -2.2863602  -8.566504929
## 780   -7.08636965 -22.00903719 -22.55826552  -2.2863602  -8.566504929
## 781   -7.08636965 -22.00903719 -22.55826552  -2.2863602  -8.566504929
## 782   -7.08636965 -22.00903719 -22.55826552  -2.2863602  -8.566504929
## 783   -7.08636965 -22.00903719 -22.55826552  -2.2863602  -8.566504929
## 784   -7.08636965 -22.00903719 -22.55826552  -2.2863602  -8.566504929
## 785    2.53588991   1.43834480   1.41919943   5.4732597  -0.329038362
## 786    2.53588991   1.43834480   1.41919943   5.4732597  -0.329038362
## 787    2.53588991   1.43834480   1.41919943   5.4732597  -0.329038362
## 788    2.53588991   1.43834480   1.41919943   5.4732597  -0.329038362
## 789    2.53588991   1.43834480   1.41919943   5.4732597  -0.329038362
## 790    2.53588991   1.43834480   1.41919943   5.4732597  -0.329038362
## 791    2.53588991   1.43834480   1.41919943   5.4732597  -0.329038362
## 792    2.53588991   1.43834480   1.41919943   5.4732597  -0.329038362
## 793   -3.53134924  -0.57569020  12.07752525 -12.7708727  -1.110977656
## 794   -3.53134924  -0.57569020  12.07752525 -12.7708727  -1.110977656
## 795   -3.53134924  -0.57569020  12.07752525 -12.7708727  -1.110977656
## 796   -3.53134924  -0.57569020  12.07752525 -12.7708727  -1.110977656
## 797   -3.53134924  -0.57569020  12.07752525 -12.7708727  -1.110977656
## 798   -3.53134924  -0.57569020  12.07752525 -12.7708727  -1.110977656
## 799   -3.53134924  -0.57569020  12.07752525 -12.7708727  -1.110977656
## 800   -3.53134924  -0.57569020  12.07752525 -12.7708727  -1.110977656
## 801   -0.30223188   3.57678341   8.99439830   0.1376328  58.954140147
## 802   -0.30223188   3.57678341   8.99439830   0.1376328  58.954140147
## 803   -0.30223188   3.57678341   8.99439830   0.1376328  58.954140147
## 804   -0.30223188   3.57678341   8.99439830   0.1376328  58.954140147
## 805   -0.30223188   3.57678341   8.99439830   0.1376328  58.954140147
## 806   -0.30223188   3.57678341   8.99439830   0.1376328  58.954140147
## 807   -0.30223188   3.57678341   8.99439830   0.1376328  58.954140147
## 808   -0.30223188   3.57678341   8.99439830   0.1376328  58.954140147
## 809   17.99189638   9.50170264  10.21370431   1.4736162  -7.705136968
## 810   17.99189638   9.50170264  10.21370431   1.4736162  -7.705136968
## 811   17.99189638   9.50170264  10.21370431   1.4736162  -7.705136968
## 812   17.99189638   9.50170264  10.21370431   1.4736162  -7.705136968
## 813   17.99189638   9.50170264  10.21370431   1.4736162  -7.705136968
## 814   17.99189638   9.50170264  10.21370431   1.4736162  -7.705136968
## 815   17.99189638   9.50170264  10.21370431   1.4736162  -7.705136968
## 816   17.99189638   9.50170264  10.21370431   1.4736162  -7.705136968
## 817   -3.32405830   2.34101598   1.64926550   0.9798457   7.350894600
## 818   -3.32405830   2.34101598   1.64926550   0.9798457   7.350894600
## 819   -3.32405830   2.34101598   1.64926550   0.9798457   7.350894600
## 820   -3.32405830   2.34101598   1.64926550   0.9798457   7.350894600
## 821   -3.32405830   2.34101598   1.64926550   0.9798457   7.350894600
## 822   -3.32405830   2.34101598   1.64926550   0.9798457   7.350894600
## 823   -3.32405830   2.34101598   1.64926550   0.9798457   7.350894600
## 824   -3.32405830   2.34101598   1.64926550   0.9798457   7.350894600
## 825   -0.15834259  -4.21888154 -15.45486247 -15.8362794  -1.733794173
## 826   -0.15834259  -4.21888154 -15.45486247 -15.8362794  -1.733794173
## 827   -0.15834259  -4.21888154 -15.45486247 -15.8362794  -1.733794173
## 828   -0.15834259  -4.21888154 -15.45486247 -15.8362794  -1.733794173
## 829   -0.15834259  -4.21888154 -15.45486247 -15.8362794  -1.733794173
## 830   -0.15834259  -4.21888154 -15.45486247 -15.8362794  -1.733794173
## 831   -0.15834259  -4.21888154 -15.45486247 -15.8362794  -1.733794173
## 832   -0.15834259  -4.21888154 -15.45486247 -15.8362794  -1.733794173
## 833   -5.97161911   7.99272809  10.00062389  -1.3304544  -7.710101926
## 834   -5.97161911   7.99272809  10.00062389  -1.3304544  -7.710101926
## 835   -5.97161911   7.99272809  10.00062389  -1.3304544  -7.710101926
## 836   -5.97161911   7.99272809  10.00062389  -1.3304544  -7.710101926
## 837   -5.97161911   7.99272809  10.00062389  -1.3304544  -7.710101926
## 838   -5.97161911   7.99272809  10.00062389  -1.3304544  -7.710101926
## 839   -5.97161911   7.99272809  10.00062389  -1.3304544  -7.710101926
## 840   -5.97161911   7.99272809  10.00062389  -1.3304544  -7.710101926
## 841   -8.43492894  -6.22506605  12.58469164  -4.0561397  -1.896659903
## 842   -8.43492894  -6.22506605  12.58469164  -4.0561397  -1.896659903
## 843   -8.43492894  -6.22506605  12.58469164  -4.0561397  -1.896659903
## 844   -8.43492894  -6.22506605  12.58469164  -4.0561397  -1.896659903
## 845   -8.43492894  -6.22506605  12.58469164  -4.0561397  -1.896659903
## 846   -8.43492894  -6.22506605  12.58469164  -4.0561397  -1.896659903
## 847   -8.43492894  -6.22506605  12.58469164  -4.0561397  -1.896659903
## 848   -8.43492894  -6.22506605  12.58469164  -4.0561397  -1.896659903
## 849    3.44908054  -0.09961165  -2.77745345 -27.0754699   0.148736239
## 850    3.44908054  -0.09961165  -2.77745345 -27.0754699   0.148736239
## 851    3.44908054  -0.09961165  -2.77745345 -27.0754699   0.148736239
## 852    3.44908054  -0.09961165  -2.77745345 -27.0754699   0.148736239
## 853    3.44908054  -0.09961165  -2.77745345 -27.0754699   0.148736239
## 854    3.44908054  -0.09961165  -2.77745345 -27.0754699   0.148736239
## 855    3.44908054  -0.09961165  -2.77745345 -27.0754699   0.148736239
## 856    3.44908054  -0.09961165  -2.77745345 -27.0754699   0.148736239
## 857    0.09074857   6.12892942 -25.77505896 -17.5250876  -0.414206306
## 858    0.09074857   6.12892942 -25.77505896 -17.5250876  -0.414206306
## 859    0.09074857   6.12892942 -25.77505896 -17.5250876  -0.414206306
## 860    0.09074857   6.12892942 -25.77505896 -17.5250876  -0.414206306
## 861    0.09074857   6.12892942 -25.77505896 -17.5250876  -0.414206306
## 862    0.09074857   6.12892942 -25.77505896 -17.5250876  -0.414206306
## 863    0.09074857   6.12892942 -25.77505896 -17.5250876  -0.414206306
## 864    0.09074857   6.12892942 -25.77505896 -17.5250876  -0.414206306
## 865    0.09707716  -0.79685363  -0.52209389  -1.6117977  -0.048732390
## 866    0.09707716  -0.79685363  -0.52209389  -1.6117977  -0.048732390
## 867    0.09707716  -0.79685363  -0.52209389  -1.6117977  -0.048732390
## 868    0.09707716  -0.79685363  -0.52209389  -1.6117977  -0.048732390
## 869    0.09707716  -0.79685363  -0.52209389  -1.6117977  -0.048732390
## 870    0.09707716  -0.79685363  -0.52209389  -1.6117977  -0.048732390
## 871    0.09707716  -0.79685363  -0.52209389  -1.6117977  -0.048732390
## 872    0.09707716  -0.79685363  -0.52209389  -1.6117977  -0.048732390
## 873   -0.02987394   2.26800596  -6.29696452 -35.8619262   0.262609269
## 874   -0.02987394   2.26800596  -6.29696452 -35.8619262   0.262609269
## 875   -0.02987394   2.26800596  -6.29696452 -35.8619262   0.262609269
## 876   -0.02987394   2.26800596  -6.29696452 -35.8619262   0.262609269
## 877   -0.02987394   2.26800596  -6.29696452 -35.8619262   0.262609269
## 878   -0.02987394   2.26800596  -6.29696452 -35.8619262   0.262609269
## 879   -0.02987394   2.26800596  -6.29696452 -35.8619262   0.262609269
## 880   -0.02987394   2.26800596  -6.29696452 -35.8619262   0.262609269
## 881   -0.79886867  -0.93595436   0.07389761   1.2151258   4.091639829
## 882   -0.79886867  -0.93595436   0.07389761   1.2151258   4.091639829
## 883   -0.79886867  -0.93595436   0.07389761   1.2151258   4.091639829
## 884   -0.79886867  -0.93595436   0.07389761   1.2151258   4.091639829
## 885   -0.79886867  -0.93595436   0.07389761   1.2151258   4.091639829
## 886   -0.79886867  -0.93595436   0.07389761   1.2151258   4.091639829
## 887   -0.79886867  -0.93595436   0.07389761   1.2151258   4.091639829
## 888   -0.79886867  -0.93595436   0.07389761   1.2151258   4.091639829
## 889   15.88458137  16.25561760   1.68770630   0.8719925  11.284689898
## 890   15.88458137  16.25561760   1.68770630   0.8719925  11.284689898
## 891   15.88458137  16.25561760   1.68770630   0.8719925  11.284689898
## 892   15.88458137  16.25561760   1.68770630   0.8719925  11.284689898
## 893   15.88458137  16.25561760   1.68770630   0.8719925  11.284689898
## 894   15.88458137  16.25561760   1.68770630   0.8719925  11.284689898
## 895   15.88458137  16.25561760   1.68770630   0.8719925  11.284689898
## 896   15.88458137  16.25561760   1.68770630   0.8719925  11.284689898
## 897   -4.27465913  -0.07440255  -1.06173218 -10.2118387  -1.395786613
## 898   -4.27465913  -0.07440255  -1.06173218 -10.2118387  -1.395786613
## 899   -4.27465913  -0.07440255  -1.06173218 -10.2118387  -1.395786613
## 900   -4.27465913  -0.07440255  -1.06173218 -10.2118387  -1.395786613
## 901   -4.27465913  -0.07440255  -1.06173218 -10.2118387  -1.395786613
## 902   -4.27465913  -0.07440255  -1.06173218 -10.2118387  -1.395786613
## 903   -4.27465913  -0.07440255  -1.06173218 -10.2118387  -1.395786613
## 904   -4.27465913  -0.07440255  -1.06173218 -10.2118387  -1.395786613
## 905   40.58847950   0.28511135  -2.46902247  -2.4538485  -2.349327377
## 906   40.58847950   0.28511135  -2.46902247  -2.4538485  -2.349327377
## 907   40.58847950   0.28511135  -2.46902247  -2.4538485  -2.349327377
## 908   40.58847950   0.28511135  -2.46902247  -2.4538485  -2.349327377
## 909   40.58847950   0.28511135  -2.46902247  -2.4538485  -2.349327377
## 910   40.58847950   0.28511135  -2.46902247  -2.4538485  -2.349327377
## 911   40.58847950   0.28511135  -2.46902247  -2.4538485  -2.349327377
## 912   40.58847950   0.28511135  -2.46902247  -2.4538485  -2.349327377
## 913   -0.80766089  -4.93926699  -3.92489099   8.9216501   1.020878817
## 914   -0.80766089  -4.93926699  -3.92489099   8.9216501   1.020878817
## 915   -0.80766089  -4.93926699  -3.92489099   8.9216501   1.020878817
## 916   -0.80766089  -4.93926699  -3.92489099   8.9216501   1.020878817
## 917   -0.80766089  -4.93926699  -3.92489099   8.9216501   1.020878817
## 918    7.67348661   0.13367470   7.12834662  -6.1765633  25.585973488
## 919    7.67348661   0.13367470   7.12834662  -6.1765633  25.585973488
## 920    7.67348661   0.13367470   7.12834662  -6.1765633  25.585973488
## 921    7.67348661   0.13367470   7.12834662  -6.1765633  25.585973488
## 922    7.67348661   0.13367470   7.12834662  -6.1765633  25.585973488
## 923            NA           NA           NA          NA            NA
## 924            NA           NA           NA          NA            NA
## 925            NA           NA           NA          NA            NA
## 926            NA           NA           NA          NA            NA
## 927            NA           NA           NA          NA            NA
## 928            NA           NA           NA          NA            NA
## 929            NA           NA           NA          NA            NA
## 930            NA           NA           NA          NA            NA
## 931            NA           NA           NA          NA            NA
## 932            NA           NA           NA          NA            NA
## 933            NA           NA           NA          NA            NA
## 934            NA           NA           NA          NA            NA
## 935            NA           NA           NA          NA            NA
## 936            NA           NA           NA          NA            NA
## 937            NA           NA           NA          NA            NA
## 938    3.69509584  12.92043349  -3.45597034  -5.7582490 -25.832322314
## 939    3.69509584  12.92043349  -3.45597034  -5.7582490 -25.832322314
## 940    3.69509584  12.92043349  -3.45597034  -5.7582490 -25.832322314
## 941    3.69509584  12.92043349  -3.45597034  -5.7582490 -25.832322314
## 942    3.69509584  12.92043349  -3.45597034  -5.7582490 -25.832322314
## 943            NA           NA           NA          NA            NA
## 944            NA           NA           NA          NA            NA
## 945            NA           NA           NA          NA            NA
## 946            NA           NA           NA          NA            NA
## 947            NA           NA           NA          NA            NA
## 948            NA           NA           NA          NA            NA
## 949            NA           NA           NA          NA            NA
## 950            NA           NA           NA          NA            NA
## 951            NA           NA           NA          NA            NA
## 952            NA           NA           NA          NA            NA
## 953   42.78777396 -14.53680576   2.51998568   2.2001380  -2.758875747
## 954   42.78777396 -14.53680576   2.51998568   2.2001380  -2.758875747
## 955   42.78777396 -14.53680576   2.51998568   2.2001380  -2.758875747
## 956   42.78777396 -14.53680576   2.51998568   2.2001380  -2.758875747
## 957   42.78777396 -14.53680576   2.51998568   2.2001380  -2.758875747
## 958    7.99886548   3.51580056  -3.49145214  -3.4867870  13.190147253
## 959    7.99886548   3.51580056  -3.49145214  -3.4867870  13.190147253
## 960    7.99886548   3.51580056  -3.49145214  -3.4867870  13.190147253
## 961    7.99886548   3.51580056  -3.49145214  -3.4867870  13.190147253
## 962    7.99886548   3.51580056  -3.49145214  -3.4867870  13.190147253
## 963            NA           NA           NA          NA            NA
## 964            NA           NA           NA          NA            NA
## 965            NA           NA           NA          NA            NA
## 966            NA           NA           NA          NA            NA
## 967            NA           NA           NA          NA            NA
## 968            NA           NA           NA          NA            NA
## 969            NA           NA           NA          NA            NA
## 970            NA           NA           NA          NA            NA
## 971            NA           NA           NA          NA            NA
## 972            NA           NA           NA          NA            NA
## 973    1.01469526   5.46977955  -2.26880911 -35.5031841   2.497949632
## 974    1.01469526   5.46977955  -2.26880911 -35.5031841   2.497949632
## 975    1.01469526   5.46977955  -2.26880911 -35.5031841   2.497949632
## 976    1.01469526   5.46977955  -2.26880911 -35.5031841   2.497949632
## 977    1.01469526   5.46977955  -2.26880911 -35.5031841   2.497949632
## 978   -5.18567449  -0.65850162  66.78948543 -11.9587409  -5.332595862
## 979   -5.18567449  -0.65850162  66.78948543 -11.9587409  -5.332595862
## 980   -5.18567449  -0.65850162  66.78948543 -11.9587409  -5.332595862
## 981   -5.18567449  -0.65850162  66.78948543 -11.9587409  -5.332595862
## 982   -5.18567449  -0.65850162  66.78948543 -11.9587409  -5.332595862
## 983            NA           NA           NA          NA            NA
## 984            NA           NA           NA          NA            NA
## 985            NA           NA           NA          NA            NA
## 986            NA           NA           NA          NA            NA
## 987            NA           NA           NA          NA            NA
## 988            NA           NA           NA          NA            NA
## 989            NA           NA           NA          NA            NA
## 990            NA           NA           NA          NA            NA
## 991            NA           NA           NA          NA            NA
## 992            NA           NA           NA          NA            NA
## 993    3.66786181  -4.55159506  -7.42476323  36.0979161   2.934312395
## 994    3.66786181  -4.55159506  -7.42476323  36.0979161   2.934312395
## 995    3.66786181  -4.55159506  -7.42476323  36.0979161   2.934312395
## 996    3.66786181  -4.55159506  -7.42476323  36.0979161   2.934312395
## 997    3.66786181  -4.55159506  -7.42476323  36.0979161   2.934312395
## 998            NA           NA           NA          NA            NA
## 999            NA           NA           NA          NA            NA
## 1000           NA           NA           NA          NA            NA
## 1001           NA           NA           NA          NA            NA
## 1002           NA           NA           NA          NA            NA
## 1003           NA           NA           NA          NA            NA
## 1004           NA           NA           NA          NA            NA
## 1005           NA           NA           NA          NA            NA
## 1006           NA           NA           NA          NA            NA
## 1007           NA           NA           NA          NA            NA
## 1008 -45.91117216  12.48217288 -16.16714145  -5.6298927   1.878225606
## 1009 -45.91117216  12.48217288 -16.16714145  -5.6298927   1.878225606
## 1010 -45.91117216  12.48217288 -16.16714145  -5.6298927   1.878225606
## 1011 -45.91117216  12.48217288 -16.16714145  -5.6298927   1.878225606
## 1012 -45.91117216  12.48217288 -16.16714145  -5.6298927   1.878225606
## 1013   0.01758310  -3.90356063  -0.39115715  -4.3824498  -1.786608205
## 1014   0.01758310  -3.90356063  -0.39115715  -4.3824498  -1.786608205
## 1015   0.01758310  -3.90356063  -0.39115715  -4.3824498  -1.786608205
## 1016   0.01758310  -3.90356063  -0.39115715  -4.3824498  -1.786608205
## 1017   0.01758310  -3.90356063  -0.39115715  -4.3824498  -1.786608205
## 1018  -6.12601629  16.32809428  57.72361732 -31.9245842  -4.973832673
## 1019  -6.12601629  16.32809428  57.72361732 -31.9245842  -4.973832673
## 1020  -6.12601629  16.32809428  57.72361732 -31.9245842  -4.973832673
## 1021  -6.12601629  16.32809428  57.72361732 -31.9245842  -4.973832673
## 1022  -6.12601629  16.32809428  57.72361732 -31.9245842  -4.973832673
## 1023           NA           NA           NA          NA            NA
## 1024           NA           NA           NA          NA            NA
## 1025           NA           NA           NA          NA            NA
## 1026           NA           NA           NA          NA            NA
## 1027           NA           NA           NA          NA            NA
## 1028           NA           NA           NA          NA            NA
## 1029           NA           NA           NA          NA            NA
## 1030           NA           NA           NA          NA            NA
## 1031           NA           NA           NA          NA            NA
## 1032           NA           NA           NA          NA            NA
## 1033  17.74542167   6.54688952  20.08442351  -4.9886766  -3.541070954
## 1034  17.74542167   6.54688952  20.08442351  -4.9886766  -3.541070954
## 1035  17.74542167   6.54688952  20.08442351  -4.9886766  -3.541070954
## 1036  17.74542167   6.54688952  20.08442351  -4.9886766  -3.541070954
## 1037  17.74542167   6.54688952  20.08442351  -4.9886766  -3.541070954
## 1038           NA           NA           NA          NA            NA
## 1039           NA           NA           NA          NA            NA
## 1040           NA           NA           NA          NA            NA
## 1041           NA           NA           NA          NA            NA
## 1042           NA           NA           NA          NA            NA
## 1043           NA           NA           NA          NA            NA
## 1044           NA           NA           NA          NA            NA
## 1045           NA           NA           NA          NA            NA
## 1046           NA           NA           NA          NA            NA
## 1047           NA           NA           NA          NA            NA
## 1048           NA           NA           NA          NA            NA
## 1049           NA           NA           NA          NA            NA
## 1050           NA           NA           NA          NA            NA
## 1051           NA           NA           NA          NA            NA
## 1052           NA           NA           NA          NA            NA
## 1053           NA           NA           NA          NA            NA
## 1054           NA           NA           NA          NA            NA
## 1055           NA           NA           NA          NA            NA
## 1056           NA           NA           NA          NA            NA
## 1057           NA           NA           NA          NA            NA
## 1058           NA           NA           NA          NA            NA
## 1059           NA           NA           NA          NA            NA
## 1060           NA           NA           NA          NA            NA
## 1061           NA           NA           NA          NA            NA
## 1062           NA           NA           NA          NA            NA
## 1063           NA           NA           NA          NA            NA
## 1064           NA           NA           NA          NA            NA
## 1065           NA           NA           NA          NA            NA
## 1066           NA           NA           NA          NA            NA
## 1067           NA           NA           NA          NA            NA
## 1068  -5.92399532  -1.05583183  -6.77166622 -69.3448863  -2.654231808
## 1069  -5.92399532  -1.05583183  -6.77166622 -69.3448863  -2.654231808
## 1070  -5.92399532  -1.05583183  -6.77166622 -69.3448863  -2.654231808
## 1071  -5.92399532  -1.05583183  -6.77166622 -69.3448863  -2.654231808
## 1072  -5.92399532  -1.05583183  -6.77166622 -69.3448863  -2.654231808
## 1073  -7.43765323  -6.70646936 -26.03538600 -28.9170884   2.646058821
## 1074  -7.43765323  -6.70646936 -26.03538600 -28.9170884   2.646058821
## 1075  -7.43765323  -6.70646936 -26.03538600 -28.9170884   2.646058821
## 1076  -7.43765323  -6.70646936 -26.03538600 -28.9170884   2.646058821
## 1077  -7.43765323  -6.70646936 -26.03538600 -28.9170884   2.646058821
## 1078           NA           NA           NA          NA            NA
## 1079           NA           NA           NA          NA            NA
## 1080           NA           NA           NA          NA            NA
## 1081           NA           NA           NA          NA            NA
## 1082           NA           NA           NA          NA            NA
## 1083 -30.06798731  15.28775280  16.02151802  -7.0676125   1.679893406
## 1084 -30.06798731  15.28775280  16.02151802  -7.0676125   1.679893406
## 1085 -30.06798731  15.28775280  16.02151802  -7.0676125   1.679893406
## 1086 -30.06798731  15.28775280  16.02151802  -7.0676125   1.679893406
## 1087 -30.06798731  15.28775280  16.02151802  -7.0676125   1.679893406
## 1088           NA           NA           NA          NA            NA
## 1089           NA           NA           NA          NA            NA
## 1090           NA           NA           NA          NA            NA
## 1091           NA           NA           NA          NA            NA
## 1092           NA           NA           NA          NA            NA
## 1093   8.13238329 -13.94561135  -3.23049053  -6.7470551  -1.798153607
## 1094   8.13238329 -13.94561135  -3.23049053  -6.7470551  -1.798153607
## 1095   8.13238329 -13.94561135  -3.23049053  -6.7470551  -1.798153607
## 1096   8.13238329 -13.94561135  -3.23049053  -6.7470551  -1.798153607
## 1097   8.13238329 -13.94561135  -3.23049053  -6.7470551  -1.798153607
## 1098           NA           NA           NA          NA            NA
## 1099           NA           NA           NA          NA            NA
## 1100           NA           NA           NA          NA            NA
## 1101           NA           NA           NA          NA            NA
## 1102           NA           NA           NA          NA            NA
## 1103   2.60223804 -16.48703634   3.45706698  -4.4873537  -3.754181408
## 1104   2.60223804 -16.48703634   3.45706698  -4.4873537  -3.754181408
## 1105   2.60223804 -16.48703634   3.45706698  -4.4873537  -3.754181408
## 1106   2.60223804 -16.48703634   3.45706698  -4.4873537  -3.754181408
## 1107   2.60223804 -16.48703634   3.45706698  -4.4873537  -3.754181408
## 1108           NA           NA           NA          NA            NA
## 1109           NA           NA           NA          NA            NA
## 1110           NA           NA           NA          NA            NA
## 1111           NA           NA           NA          NA            NA
## 1112           NA           NA           NA          NA            NA
## 1113   9.36619074 -29.23535613  -9.59620325  14.2570475  -2.889853386
## 1114   9.36619074 -29.23535613  -9.59620325  14.2570475  -2.889853386
## 1115   9.36619074 -29.23535613  -9.59620325  14.2570475  -2.889853386
## 1116   9.36619074 -29.23535613  -9.59620325  14.2570475  -2.889853386
## 1117   9.36619074 -29.23535613  -9.59620325  14.2570475  -2.889853386
## 1118 -10.28128967  27.98096917  22.41295128  -8.0225501  -0.526326331
## 1119 -10.28128967  27.98096917  22.41295128  -8.0225501  -0.526326331
## 1120 -10.28128967  27.98096917  22.41295128  -8.0225501  -0.526326331
## 1121 -10.28128967  27.98096917  22.41295128  -8.0225501  -0.526326331
## 1122 -10.28128967  27.98096917  22.41295128  -8.0225501  -0.526326331
## 1123  22.30590021 -14.97531341   4.93586803   8.8811081  -0.685465038
## 1124  22.30590021 -14.97531341   4.93586803   8.8811081  -0.685465038
## 1125  22.30590021 -14.97531341   4.93586803   8.8811081  -0.685465038
## 1126  22.30590021 -14.97531341   4.93586803   8.8811081  -0.685465038
## 1127  22.30590021 -14.97531341   4.93586803   8.8811081  -0.685465038
## 1128           NA           NA           NA          NA            NA
## 1129           NA           NA           NA          NA            NA
## 1130           NA           NA           NA          NA            NA
## 1131           NA           NA           NA          NA            NA
## 1132           NA           NA           NA          NA            NA
## 1133  24.97109749 -33.63415430  -4.89110879  -8.6884658  -4.229261088
## 1134  24.97109749 -33.63415430  -4.89110879  -8.6884658  -4.229261088
## 1135  24.97109749 -33.63415430  -4.89110879  -8.6884658  -4.229261088
## 1136  24.97109749 -33.63415430  -4.89110879  -8.6884658  -4.229261088
## 1137  24.97109749 -33.63415430  -4.89110879  -8.6884658  -4.229261088
## 1138           NA           NA           NA          NA            NA
## 1139           NA           NA           NA          NA            NA
## 1140           NA           NA           NA          NA            NA
## 1141           NA           NA           NA          NA            NA
## 1142           NA           NA           NA          NA            NA
## 1143   1.48773910   2.46723442  10.97206234   2.1000024  -0.153232389
## 1144   1.48773910   2.46723442  10.97206234   2.1000024  -0.153232389
## 1145   1.48773910   2.46723442  10.97206234   2.1000024  -0.153232389
## 1146   1.48773910   2.46723442  10.97206234   2.1000024  -0.153232389
## 1147   1.48773910   2.46723442  10.97206234   2.1000024  -0.153232389
## 1148           NA           NA           NA          NA            NA
## 1149           NA           NA           NA          NA            NA
## 1150           NA           NA           NA          NA            NA
## 1151           NA           NA           NA          NA            NA
## 1152           NA           NA           NA          NA            NA
## 1153   1.09791526  -6.22457275 -19.19485865  -0.7595241   2.205889642
## 1154   1.09791526  -6.22457275 -19.19485865  -0.7595241   2.205889642
## 1155   1.09791526  -6.22457275 -19.19485865  -0.7595241   2.205889642
## 1156   1.09791526  -6.22457275 -19.19485865  -0.7595241   2.205889642
## 1157   1.09791526  -6.22457275 -19.19485865  -0.7595241   2.205889642
## 1158  68.66467109  33.81646565 -19.19328056  -3.9899418  -9.212533287
## 1159  68.66467109  33.81646565 -19.19328056  -3.9899418  -9.212533287
## 1160  68.66467109  33.81646565 -19.19328056  -3.9899418  -9.212533287
## 1161  68.66467109  33.81646565 -19.19328056  -3.9899418  -9.212533287
## 1162  68.66467109  33.81646565 -19.19328056  -3.9899418  -9.212533287
## 1163           NA           NA           NA          NA            NA
## 1164           NA           NA           NA          NA            NA
## 1165           NA           NA           NA          NA            NA
## 1166           NA           NA           NA          NA            NA
## 1167           NA           NA           NA          NA            NA
## 1168           NA           NA           NA          NA            NA
## 1169           NA           NA           NA          NA            NA
## 1170           NA           NA           NA          NA            NA
## 1171           NA           NA           NA          NA            NA
## 1172           NA           NA           NA          NA            NA
## 1173           NA           NA           NA          NA            NA
## 1174           NA           NA           NA          NA            NA
## 1175           NA           NA           NA          NA            NA
## 1176           NA           NA           NA          NA            NA
## 1177           NA           NA           NA          NA            NA
## 1178           NA           NA           NA          NA            NA
## 1179           NA           NA           NA          NA            NA
## 1180           NA           NA           NA          NA            NA
## 1181           NA           NA           NA          NA            NA
## 1182           NA           NA           NA          NA            NA
## 1183           NA           NA           NA          NA            NA
## 1184           NA           NA           NA          NA            NA
## 1185           NA           NA           NA          NA            NA
## 1186           NA           NA           NA          NA            NA
## 1187           NA           NA           NA          NA            NA
## 1188 -26.16894724 -13.64693535 -19.68593252   0.7751988  13.659701384
## 1189 -26.16894724 -13.64693535 -19.68593252   0.7751988  13.659701384
## 1190 -26.16894724 -13.64693535 -19.68593252   0.7751988  13.659701384
## 1191 -26.16894724 -13.64693535 -19.68593252   0.7751988  13.659701384
## 1192 -26.16894724 -13.64693535 -19.68593252   0.7751988  13.659701384
## 1193 -20.34644261   9.51782530 -47.16550685   5.4479762   2.727478020
## 1194 -20.34644261   9.51782530 -47.16550685   5.4479762   2.727478020
## 1195 -20.34644261   9.51782530 -47.16550685   5.4479762   2.727478020
## 1196 -20.34644261   9.51782530 -47.16550685   5.4479762   2.727478020
## 1197 -20.34644261   9.51782530 -47.16550685   5.4479762   2.727478020
## 1198   6.42226204  26.77781491 -28.35946782  -1.8096695   4.675327032
## 1199   6.42226204  26.77781491 -28.35946782  -1.8096695   4.675327032
## 1200   6.42226204  26.77781491 -28.35946782  -1.8096695   4.675327032
## 1201   6.42226204  26.77781491 -28.35946782  -1.8096695   4.675327032
## 1202   6.42226204  26.77781491 -28.35946782  -1.8096695   4.675327032
## 1203 -12.62954705  14.23259694  42.86525822  17.5562240   4.680246211
## 1204 -12.62954705  14.23259694  42.86525822  17.5562240   4.680246211
## 1205 -12.62954705  14.23259694  42.86525822  17.5562240   4.680246211
## 1206 -12.62954705  14.23259694  42.86525822  17.5562240   4.680246211
## 1207 -12.62954705  14.23259694  42.86525822  17.5562240   4.680246211
## 1208           NA           NA           NA          NA            NA
## 1209           NA           NA           NA          NA            NA
## 1210           NA           NA           NA          NA            NA
## 1211           NA           NA           NA          NA            NA
## 1212           NA           NA           NA          NA            NA
## 1213  -3.16446420  24.91254499 -22.16036056  -6.1290900   0.670791315
## 1214  -3.16446420  24.91254499 -22.16036056  -6.1290900   0.670791315
## 1215  -3.16446420  24.91254499 -22.16036056  -6.1290900   0.670791315
## 1216  -3.16446420  24.91254499 -22.16036056  -6.1290900   0.670791315
## 1217  -3.16446420  24.91254499 -22.16036056  -6.1290900   0.670791315
## 1218  -3.73143598  22.96674910  -6.97187412   0.9228551   7.233869076
## 1219  -3.73143598  22.96674910  -6.97187412   0.9228551   7.233869076
## 1220  -3.73143598  22.96674910  -6.97187412   0.9228551   7.233869076
## 1221  -3.73143598  22.96674910  -6.97187412   0.9228551   7.233869076
## 1222  -3.73143598  22.96674910  -6.97187412   0.9228551   7.233869076
## 1223           NA           NA           NA          NA            NA
## 1224           NA           NA           NA          NA            NA
## 1225           NA           NA           NA          NA            NA
## 1226           NA           NA           NA          NA            NA
## 1227           NA           NA           NA          NA            NA
## 1228           NA           NA           NA          NA            NA
## 1229           NA           NA           NA          NA            NA
## 1230           NA           NA           NA          NA            NA
## 1231           NA           NA           NA          NA            NA
## 1232           NA           NA           NA          NA            NA
## 1233           NA           NA           NA          NA            NA
## 1234           NA           NA           NA          NA            NA
## 1235           NA           NA           NA          NA            NA
## 1236           NA           NA           NA          NA            NA
## 1237           NA           NA           NA          NA            NA
## 1238  -8.13129088  14.11492599   4.93961818  15.1082950  -4.710164295
## 1239  -8.13129088  14.11492599   4.93961818  15.1082950  -4.710164295
## 1240  -8.13129088  14.11492599   4.93961818  15.1082950  -4.710164295
## 1241  -8.13129088  14.11492599   4.93961818  15.1082950  -4.710164295
## 1242  -8.13129088  14.11492599   4.93961818  15.1082950  -4.710164295
## 1243 -13.14936589  -9.02173631   5.35469978  34.7153082  -0.144989044
## 1244 -13.14936589  -9.02173631   5.35469978  34.7153082  -0.144989044
## 1245 -13.14936589  -9.02173631   5.35469978  34.7153082  -0.144989044
## 1246 -13.14936589  -9.02173631   5.35469978  34.7153082  -0.144989044
## 1247 -13.14936589  -9.02173631   5.35469978  34.7153082  -0.144989044
## 1248           NA           NA           NA          NA            NA
## 1249           NA           NA           NA          NA            NA
## 1250           NA           NA           NA          NA            NA
## 1251           NA           NA           NA          NA            NA
## 1252           NA           NA           NA          NA            NA
## 1253           NA           NA           NA          NA            NA
## 1254           NA           NA           NA          NA            NA
## 1255           NA           NA           NA          NA            NA
## 1256           NA           NA           NA          NA            NA
## 1257           NA           NA           NA          NA            NA
## 1258           NA           NA           NA          NA            NA
## 1259           NA           NA           NA          NA            NA
## 1260           NA           NA           NA          NA            NA
## 1261           NA           NA           NA          NA            NA
## 1262           NA           NA           NA          NA            NA
## 1263 -19.93325136 -26.78393543  -4.91872057   4.3848328   1.067447245
## 1264 -19.93325136 -26.78393543  -4.91872057   4.3848328   1.067447245
## 1265 -19.93325136 -26.78393543  -4.91872057   4.3848328   1.067447245
## 1266 -19.93325136 -26.78393543  -4.91872057   4.3848328   1.067447245
## 1267 -19.93325136 -26.78393543  -4.91872057   4.3848328   1.067447245
## 1268   2.69567911   1.42583506  -3.43266537   5.2569104   2.927637161
## 1269   2.69567911   1.42583506  -3.43266537   5.2569104   2.927637161
## 1270   2.69567911   1.42583506  -3.43266537   5.2569104   2.927637161
## 1271   2.69567911   1.42583506  -3.43266537   5.2569104   2.927637161
## 1272   2.69567911   1.42583506  -3.43266537   5.2569104   2.927637161
## 1273   2.48290233  -0.49319178  -3.21074274   4.7992826   1.514265018
## 1274   2.48290233  -0.49319178  -3.21074274   4.7992826   1.514265018
## 1275   2.48290233  -0.49319178  -3.21074274   4.7992826   1.514265018
## 1276   2.48290233  -0.49319178  -3.21074274   4.7992826   1.514265018
## 1277   2.48290233  -0.49319178  -3.21074274   4.7992826   1.514265018
## 1278   2.77015303   6.85511876   0.28327360   0.1573464  -1.193742902
## 1279   2.77015303   6.85511876   0.28327360   0.1573464  -1.193742902
## 1280   2.77015303   6.85511876   0.28327360   0.1573464  -1.193742902
## 1281   2.77015303   6.85511876   0.28327360   0.1573464  -1.193742902
## 1282   2.77015303   6.85511876   0.28327360   0.1573464  -1.193742902
## 1283   1.13944773   5.36407527   3.81280594  70.6540246   0.181794719
## 1284   1.13944773   5.36407527   3.81280594  70.6540246   0.181794719
## 1285   1.13944773   5.36407527   3.81280594  70.6540246   0.181794719
## 1286   1.13944773   5.36407527   3.81280594  70.6540246   0.181794719
## 1287   1.13944773   5.36407527   3.81280594  70.6540246   0.181794719
## 1288           NA           NA           NA          NA            NA
## 1289           NA           NA           NA          NA            NA
## 1290           NA           NA           NA          NA            NA
## 1291           NA           NA           NA          NA            NA
## 1292           NA           NA           NA          NA            NA
## 1293           NA           NA           NA          NA            NA
## 1294           NA           NA           NA          NA            NA
## 1295           NA           NA           NA          NA            NA
## 1296           NA           NA           NA          NA            NA
## 1297           NA           NA           NA          NA            NA
## 1298   2.26136197   8.50157393  -7.62405521   2.4467886 -30.513756912
## 1299   2.26136197   8.50157393  -7.62405521   2.4467886 -30.513756912
## 1300   2.26136197   8.50157393  -7.62405521   2.4467886 -30.513756912
## 1301   2.26136197   8.50157393  -7.62405521   2.4467886 -30.513756912
## 1302   2.26136197   8.50157393  -7.62405521   2.4467886 -30.513756912
## 1303           NA           NA           NA          NA            NA
## 1304           NA           NA           NA          NA            NA
## 1305           NA           NA           NA          NA            NA
## 1306           NA           NA           NA          NA            NA
## 1307           NA           NA           NA          NA            NA
## 1308           NA           NA           NA          NA            NA
## 1309           NA           NA           NA          NA            NA
## 1310           NA           NA           NA          NA            NA
## 1311           NA           NA           NA          NA            NA
## 1312           NA           NA           NA          NA            NA
## 1313  -2.44119238  -0.36314288  -6.44402378 -10.8581566   1.197651688
## 1314  -2.44119238  -0.36314288  -6.44402378 -10.8581566   1.197651688
## 1315  -2.44119238  -0.36314288  -6.44402378 -10.8581566   1.197651688
## 1316  -2.44119238  -0.36314288  -6.44402378 -10.8581566   1.197651688
## 1317  -2.44119238  -0.36314288  -6.44402378 -10.8581566   1.197651688
## 1318           NA           NA           NA          NA            NA
## 1319           NA           NA           NA          NA            NA
## 1320           NA           NA           NA          NA            NA
## 1321           NA           NA           NA          NA            NA
## 1322           NA           NA           NA          NA            NA
## 1323           NA           NA           NA          NA            NA
## 1324           NA           NA           NA          NA            NA
## 1325           NA           NA           NA          NA            NA
## 1326           NA           NA           NA          NA            NA
## 1327           NA           NA           NA          NA            NA
## 1328           NA           NA           NA          NA            NA
## 1329           NA           NA           NA          NA            NA
## 1330           NA           NA           NA          NA            NA
## 1331           NA           NA           NA          NA            NA
## 1332           NA           NA           NA          NA            NA
## 1333           NA           NA           NA          NA            NA
## 1334           NA           NA           NA          NA            NA
## 1335           NA           NA           NA          NA            NA
## 1336           NA           NA           NA          NA            NA
## 1337           NA           NA           NA          NA            NA
## 1338           NA           NA           NA          NA            NA
## 1339           NA           NA           NA          NA            NA
## 1340           NA           NA           NA          NA            NA
## 1341           NA           NA           NA          NA            NA
## 1342           NA           NA           NA          NA            NA
## 1343           NA           NA           NA          NA            NA
## 1344           NA           NA           NA          NA            NA
## 1345           NA           NA           NA          NA            NA
## 1346           NA           NA           NA          NA            NA
## 1347           NA           NA           NA          NA            NA
## 1348           NA           NA           NA          NA            NA
## 1349           NA           NA           NA          NA            NA
## 1350           NA           NA           NA          NA            NA
## 1351           NA           NA           NA          NA            NA
## 1352           NA           NA           NA          NA            NA
## 1353           NA           NA           NA          NA            NA
## 1354           NA           NA           NA          NA            NA
## 1355           NA           NA           NA          NA            NA
## 1356           NA           NA           NA          NA            NA
## 1357           NA           NA           NA          NA            NA
## 1358           NA           NA           NA          NA            NA
## 1359           NA           NA           NA          NA            NA
## 1360           NA           NA           NA          NA            NA
## 1361           NA           NA           NA          NA            NA
## 1362           NA           NA           NA          NA            NA
## 1363   1.87768141  -3.53679188  -0.41521637   0.6818437  11.126468632
## 1364   1.87768141  -3.53679188  -0.41521637   0.6818437  11.126468632
## 1365   1.87768141  -3.53679188  -0.41521637   0.6818437  11.126468632
## 1366   1.87768141  -3.53679188  -0.41521637   0.6818437  11.126468632
## 1367   1.87768141  -3.53679188  -0.41521637   0.6818437  11.126468632
## 1368           NA           NA           NA          NA            NA
## 1369           NA           NA           NA          NA            NA
## 1370           NA           NA           NA          NA            NA
## 1371           NA           NA           NA          NA            NA
## 1372           NA           NA           NA          NA            NA
## 1373           NA           NA           NA          NA            NA
## 1374           NA           NA           NA          NA            NA
## 1375           NA           NA           NA          NA            NA
## 1376           NA           NA           NA          NA            NA
## 1377           NA           NA           NA          NA            NA
## 1378   6.90646001   3.38752300   4.99622560   0.6560585  31.711547137
## 1379   6.90646001   3.38752300   4.99622560   0.6560585  31.711547137
## 1380   6.90646001   3.38752300   4.99622560   0.6560585  31.711547137
## 1381   6.90646001   3.38752300   4.99622560   0.6560585  31.711547137
## 1382   6.90646001   3.38752300   4.99622560   0.6560585  31.711547137
## 1383           NA           NA           NA          NA            NA
## 1384           NA           NA           NA          NA            NA
## 1385           NA           NA           NA          NA            NA
## 1386           NA           NA           NA          NA            NA
## 1387           NA           NA           NA          NA            NA
## 1388   4.12644764   0.56604842   7.78849634   4.4472264 -13.907289631
## 1389   4.12644764   0.56604842   7.78849634   4.4472264 -13.907289631
## 1390   4.12644764   0.56604842   7.78849634   4.4472264 -13.907289631
## 1391   4.12644764   0.56604842   7.78849634   4.4472264 -13.907289631
## 1392   4.12644764   0.56604842   7.78849634   4.4472264 -13.907289631
## 1393           NA           NA           NA          NA            NA
## 1394           NA           NA           NA          NA            NA
## 1395           NA           NA           NA          NA            NA
## 1396           NA           NA           NA          NA            NA
## 1397           NA           NA           NA          NA            NA
## 1398           NA           NA           NA          NA            NA
## 1399           NA           NA           NA          NA            NA
## 1400           NA           NA           NA          NA            NA
## 1401           NA           NA           NA          NA            NA
## 1402           NA           NA           NA          NA            NA
## 1403           NA           NA           NA          NA            NA
## 1404           NA           NA           NA          NA            NA
## 1405           NA           NA           NA          NA            NA
## 1406           NA           NA           NA          NA            NA
## 1407           NA           NA           NA          NA            NA
## 1408           NA           NA           NA          NA            NA
## 1409           NA           NA           NA          NA            NA
## 1410           NA           NA           NA          NA            NA
## 1411           NA           NA           NA          NA            NA
## 1412           NA           NA           NA          NA            NA
## 1413  40.27810533 -56.90650294   4.98267814   0.4222261  -3.263796143
## 1414  40.27810533 -56.90650294   4.98267814   0.4222261  -3.263796143
## 1415  40.27810533 -56.90650294   4.98267814   0.4222261  -3.263796143
## 1416  40.27810533 -56.90650294   4.98267814   0.4222261  -3.263796143
## 1417  40.27810533 -56.90650294   4.98267814   0.4222261  -3.263796143
## 1418   4.27229422  -8.82169047   0.77137598  -1.3223892   3.798186182
## 1419   4.27229422  -8.82169047   0.77137598  -1.3223892   3.798186182
## 1420   4.27229422  -8.82169047   0.77137598  -1.3223892   3.798186182
## 1421   4.27229422  -8.82169047   0.77137598  -1.3223892   3.798186182
## 1422   4.27229422  -8.82169047   0.77137598  -1.3223892   3.798186182
## 1423           NA           NA           NA          NA            NA
## 1424           NA           NA           NA          NA            NA
## 1425           NA           NA           NA          NA            NA
## 1426           NA           NA           NA          NA            NA
## 1427           NA           NA           NA          NA            NA
## 1428   9.69452234 -21.32648933  -4.37882028   5.7332189 -23.151192269
## 1429   9.69452234 -21.32648933  -4.37882028   5.7332189 -23.151192269
## 1430   9.69452234 -21.32648933  -4.37882028   5.7332189 -23.151192269
## 1431   9.69452234 -21.32648933  -4.37882028   5.7332189 -23.151192269
## 1432   9.69452234 -21.32648933  -4.37882028   5.7332189 -23.151192269
## 1433   3.14352846  17.71974618  17.34378292   7.0796778   1.167253594
## 1434   3.14352846  17.71974618  17.34378292   7.0796778   1.167253594
## 1435   3.14352846  17.71974618  17.34378292   7.0796778   1.167253594
## 1436   3.14352846  17.71974618  17.34378292   7.0796778   1.167253594
## 1437   3.14352846  17.71974618  17.34378292   7.0796778   1.167253594
## 1438           NA           NA           NA          NA            NA
## 1439           NA           NA           NA          NA            NA
## 1440           NA           NA           NA          NA            NA
## 1441           NA           NA           NA          NA            NA
## 1442           NA           NA           NA          NA            NA
## 1443   2.76245901   5.35641961  17.50752217  16.7350441  -4.339959322
## 1444   2.76245901   5.35641961  17.50752217  16.7350441  -4.339959322
## 1445   2.76245901   5.35641961  17.50752217  16.7350441  -4.339959322
## 1446   2.76245901   5.35641961  17.50752217  16.7350441  -4.339959322
## 1447   2.76245901   5.35641961  17.50752217  16.7350441  -4.339959322
## 1448           NA           NA           NA          NA            NA
## 1449           NA           NA           NA          NA            NA
## 1450           NA           NA           NA          NA            NA
## 1451           NA           NA           NA          NA            NA
## 1452           NA           NA           NA          NA            NA
## 1453           NA           NA           NA          NA            NA
## 1454           NA           NA           NA          NA            NA
## 1455           NA           NA           NA          NA            NA
## 1456           NA           NA           NA          NA            NA
## 1457           NA           NA           NA          NA            NA
## 1458           NA           NA           NA          NA            NA
## 1459           NA           NA           NA          NA            NA
## 1460           NA           NA           NA          NA            NA
## 1461           NA           NA           NA          NA            NA
## 1462           NA           NA           NA          NA            NA
## 1463  -3.82522495   5.98772640  -1.34475980   7.1533620 -54.537183700
## 1464  -3.82522495   5.98772640  -1.34475980   7.1533620 -54.537183700
## 1465  -3.82522495   5.98772640  -1.34475980   7.1533620 -54.537183700
## 1466  -3.82522495   5.98772640  -1.34475980   7.1533620 -54.537183700
## 1467  -3.82522495   5.98772640  -1.34475980   7.1533620 -54.537183700
## 1468           NA           NA           NA          NA            NA
## 1469           NA           NA           NA          NA            NA
## 1470           NA           NA           NA          NA            NA
## 1471           NA           NA           NA          NA            NA
## 1472           NA           NA           NA          NA            NA
## 1473           NA           NA           NA          NA            NA
## 1474           NA           NA           NA          NA            NA
## 1475           NA           NA           NA          NA            NA
## 1476           NA           NA           NA          NA            NA
## 1477           NA           NA           NA          NA            NA
## 1478           NA           NA           NA          NA            NA
## 1479           NA           NA           NA          NA            NA
## 1480           NA           NA           NA          NA            NA
## 1481           NA           NA           NA          NA            NA
## 1482           NA           NA           NA          NA            NA
## 1483           NA           NA           NA          NA            NA
## 1484           NA           NA           NA          NA            NA
## 1485           NA           NA           NA          NA            NA
## 1486           NA           NA           NA          NA            NA
## 1487           NA           NA           NA          NA            NA
## 1488  -4.48686599 -10.44738768  -3.22017001   1.6970061 -25.703936651
## 1489  -4.48686599 -10.44738768  -3.22017001   1.6970061 -25.703936651
## 1490  -4.48686599 -10.44738768  -3.22017001   1.6970061 -25.703936651
## 1491  -4.48686599 -10.44738768  -3.22017001   1.6970061 -25.703936651
## 1492  -4.48686599 -10.44738768  -3.22017001   1.6970061 -25.703936651
## 1493  -0.13048823   8.41326762 -17.28419478   9.1348744   5.644599292
## 1494  -0.13048823   8.41326762 -17.28419478   9.1348744   5.644599292
## 1495  -0.13048823   8.41326762 -17.28419478   9.1348744   5.644599292
## 1496  -0.13048823   8.41326762 -17.28419478   9.1348744   5.644599292
## 1497  -0.13048823   8.41326762 -17.28419478   9.1348744   5.644599292
## 1498   5.48250733 -22.05521966 -10.66118346   4.4002170   6.454105913
## 1499   5.48250733 -22.05521966 -10.66118346   4.4002170   6.454105913
## 1500   5.48250733 -22.05521966 -10.66118346   4.4002170   6.454105913
## 1501   5.48250733 -22.05521966 -10.66118346   4.4002170   6.454105913
## 1502   5.48250733 -22.05521966 -10.66118346   4.4002170   6.454105913
## 1503   7.95691042 -19.04913666   0.82552509   4.6590045   4.025288938
## 1504   7.95691042 -19.04913666   0.82552509   4.6590045   4.025288938
## 1505   7.95691042 -19.04913666   0.82552509   4.6590045   4.025288938
## 1506   7.95691042 -19.04913666   0.82552509   4.6590045   4.025288938
## 1507   7.95691042 -19.04913666   0.82552509   4.6590045   4.025288938
## 1508           NA           NA           NA          NA            NA
## 1509           NA           NA           NA          NA            NA
## 1510           NA           NA           NA          NA            NA
## 1511           NA           NA           NA          NA            NA
## 1512           NA           NA           NA          NA            NA
## 1513           NA           NA           NA          NA            NA
## 1514           NA           NA           NA          NA            NA
## 1515           NA           NA           NA          NA            NA
## 1516           NA           NA           NA          NA            NA
## 1517           NA           NA           NA          NA            NA
## 1518           NA           NA           NA          NA            NA
## 1519           NA           NA           NA          NA            NA
## 1520           NA           NA           NA          NA            NA
## 1521           NA           NA           NA          NA            NA
## 1522           NA           NA           NA          NA            NA
## 1523           NA           NA           NA          NA            NA
## 1524           NA           NA           NA          NA            NA
## 1525           NA           NA           NA          NA            NA
## 1526           NA           NA           NA          NA            NA
## 1527           NA           NA           NA          NA            NA
## 1528   0.25938516  -9.24057332  -0.10063666  -0.9455082  15.529163155
## 1529   0.25938516  -9.24057332  -0.10063666  -0.9455082  15.529163155
## 1530   0.25938516  -9.24057332  -0.10063666  -0.9455082  15.529163155
## 1531   0.25938516  -9.24057332  -0.10063666  -0.9455082  15.529163155
## 1532   0.25938516  -9.24057332  -0.10063666  -0.9455082  15.529163155
## 1533           NA           NA           NA          NA            NA
## 1534           NA           NA           NA          NA            NA
## 1535           NA           NA           NA          NA            NA
## 1536           NA           NA           NA          NA            NA
## 1537           NA           NA           NA          NA            NA
## 1538           NA           NA           NA          NA            NA
##        PC30_score   PC64_score   PC59_score  PC34_score   PC57_score
## 1      7.60099827 -16.68235043  14.84506111 -10.1663986  21.37131185
## 2      7.60099827 -16.68235043  14.84506111 -10.1663986  21.37131185
## 3      7.60099827 -16.68235043  14.84506111 -10.1663986  21.37131185
## 4      7.60099827 -16.68235043  14.84506111 -10.1663986  21.37131185
## 5      7.60099827 -16.68235043  14.84506111 -10.1663986  21.37131185
## 6      7.60099827 -16.68235043  14.84506111 -10.1663986  21.37131185
## 7      7.60099827 -16.68235043  14.84506111 -10.1663986  21.37131185
## 8      7.60099827 -16.68235043  14.84506111 -10.1663986  21.37131185
## 9     -1.67762151  10.00705078   3.74121019  -4.9311189   1.17137076
## 10    -1.67762151  10.00705078   3.74121019  -4.9311189   1.17137076
## 11    -1.67762151  10.00705078   3.74121019  -4.9311189   1.17137076
## 12    -1.67762151  10.00705078   3.74121019  -4.9311189   1.17137076
## 13    -1.67762151  10.00705078   3.74121019  -4.9311189   1.17137076
## 14    -1.67762151  10.00705078   3.74121019  -4.9311189   1.17137076
## 15    -1.67762151  10.00705078   3.74121019  -4.9311189   1.17137076
## 16    -1.67762151  10.00705078   3.74121019  -4.9311189   1.17137076
## 17    26.38077382  -1.22570995   6.89815238 -19.9496865 -17.96827639
## 18    26.38077382  -1.22570995   6.89815238 -19.9496865 -17.96827639
## 19    26.38077382  -1.22570995   6.89815238 -19.9496865 -17.96827639
## 20    26.38077382  -1.22570995   6.89815238 -19.9496865 -17.96827639
## 21    26.38077382  -1.22570995   6.89815238 -19.9496865 -17.96827639
## 22    26.38077382  -1.22570995   6.89815238 -19.9496865 -17.96827639
## 23    26.38077382  -1.22570995   6.89815238 -19.9496865 -17.96827639
## 24    26.38077382  -1.22570995   6.89815238 -19.9496865 -17.96827639
## 25     3.26052866  15.43692167 -17.41444905 -19.0077680   5.99217227
## 26     3.26052866  15.43692167 -17.41444905 -19.0077680   5.99217227
## 27     3.26052866  15.43692167 -17.41444905 -19.0077680   5.99217227
## 28     3.26052866  15.43692167 -17.41444905 -19.0077680   5.99217227
## 29     3.26052866  15.43692167 -17.41444905 -19.0077680   5.99217227
## 30     3.26052866  15.43692167 -17.41444905 -19.0077680   5.99217227
## 31     3.26052866  15.43692167 -17.41444905 -19.0077680   5.99217227
## 32     3.26052866  15.43692167 -17.41444905 -19.0077680   5.99217227
## 33     1.77626680  13.73176508 -31.01145326 -13.1205057 -15.00913033
## 34     1.77626680  13.73176508 -31.01145326 -13.1205057 -15.00913033
## 35     1.77626680  13.73176508 -31.01145326 -13.1205057 -15.00913033
## 36     1.77626680  13.73176508 -31.01145326 -13.1205057 -15.00913033
## 37     1.77626680  13.73176508 -31.01145326 -13.1205057 -15.00913033
## 38     1.77626680  13.73176508 -31.01145326 -13.1205057 -15.00913033
## 39     1.77626680  13.73176508 -31.01145326 -13.1205057 -15.00913033
## 40     1.77626680  13.73176508 -31.01145326 -13.1205057 -15.00913033
## 41     1.28039791 -16.93016206  -1.77289942  -6.2006345  -0.87062588
## 42     1.28039791 -16.93016206  -1.77289942  -6.2006345  -0.87062588
## 43     1.28039791 -16.93016206  -1.77289942  -6.2006345  -0.87062588
## 44     1.28039791 -16.93016206  -1.77289942  -6.2006345  -0.87062588
## 45     1.28039791 -16.93016206  -1.77289942  -6.2006345  -0.87062588
## 46     1.28039791 -16.93016206  -1.77289942  -6.2006345  -0.87062588
## 47     1.28039791 -16.93016206  -1.77289942  -6.2006345  -0.87062588
## 48     1.28039791 -16.93016206  -1.77289942  -6.2006345  -0.87062588
## 49     1.36808093  -0.19898030   1.25716761   0.9183232  -5.54931946
## 50     1.36808093  -0.19898030   1.25716761   0.9183232  -5.54931946
## 51     1.36808093  -0.19898030   1.25716761   0.9183232  -5.54931946
## 52     1.36808093  -0.19898030   1.25716761   0.9183232  -5.54931946
## 53     1.36808093  -0.19898030   1.25716761   0.9183232  -5.54931946
## 54     1.36808093  -0.19898030   1.25716761   0.9183232  -5.54931946
## 55     1.36808093  -0.19898030   1.25716761   0.9183232  -5.54931946
## 56     1.36808093  -0.19898030   1.25716761   0.9183232  -5.54931946
## 57     0.05666564   1.12438224  -6.55125146  -5.5113879 -14.04661434
## 58     0.05666564   1.12438224  -6.55125146  -5.5113879 -14.04661434
## 59     0.05666564   1.12438224  -6.55125146  -5.5113879 -14.04661434
## 60     0.05666564   1.12438224  -6.55125146  -5.5113879 -14.04661434
## 61     0.05666564   1.12438224  -6.55125146  -5.5113879 -14.04661434
## 62     0.05666564   1.12438224  -6.55125146  -5.5113879 -14.04661434
## 63     0.05666564   1.12438224  -6.55125146  -5.5113879 -14.04661434
## 64     0.05666564   1.12438224  -6.55125146  -5.5113879 -14.04661434
## 65    13.87266970 -10.37630039 -20.98196238   8.5959023 -26.21044172
## 66    13.87266970 -10.37630039 -20.98196238   8.5959023 -26.21044172
## 67    13.87266970 -10.37630039 -20.98196238   8.5959023 -26.21044172
## 68    13.87266970 -10.37630039 -20.98196238   8.5959023 -26.21044172
## 69    13.87266970 -10.37630039 -20.98196238   8.5959023 -26.21044172
## 70    13.87266970 -10.37630039 -20.98196238   8.5959023 -26.21044172
## 71    13.87266970 -10.37630039 -20.98196238   8.5959023 -26.21044172
## 72    13.87266970 -10.37630039 -20.98196238   8.5959023 -26.21044172
## 73    18.63111845  18.94555109  -2.16024871   8.3258859  65.70464145
## 74    18.63111845  18.94555109  -2.16024871   8.3258859  65.70464145
## 75    18.63111845  18.94555109  -2.16024871   8.3258859  65.70464145
## 76    18.63111845  18.94555109  -2.16024871   8.3258859  65.70464145
## 77    18.63111845  18.94555109  -2.16024871   8.3258859  65.70464145
## 78    18.63111845  18.94555109  -2.16024871   8.3258859  65.70464145
## 79    18.63111845  18.94555109  -2.16024871   8.3258859  65.70464145
## 80    18.63111845  18.94555109  -2.16024871   8.3258859  65.70464145
## 81     4.17529860   9.87040261 -13.71804208   1.1579420  -4.43443653
## 82     4.17529860   9.87040261 -13.71804208   1.1579420  -4.43443653
## 83     4.17529860   9.87040261 -13.71804208   1.1579420  -4.43443653
## 84     4.17529860   9.87040261 -13.71804208   1.1579420  -4.43443653
## 85     4.17529860   9.87040261 -13.71804208   1.1579420  -4.43443653
## 86     4.17529860   9.87040261 -13.71804208   1.1579420  -4.43443653
## 87     4.17529860   9.87040261 -13.71804208   1.1579420  -4.43443653
## 88     4.17529860   9.87040261 -13.71804208   1.1579420  -4.43443653
## 89    10.99263888  -6.13699077   5.60583255 -30.0228853 -13.08609373
## 90    10.99263888  -6.13699077   5.60583255 -30.0228853 -13.08609373
## 91    10.99263888  -6.13699077   5.60583255 -30.0228853 -13.08609373
## 92    10.99263888  -6.13699077   5.60583255 -30.0228853 -13.08609373
## 93    10.99263888  -6.13699077   5.60583255 -30.0228853 -13.08609373
## 94    10.99263888  -6.13699077   5.60583255 -30.0228853 -13.08609373
## 95    10.99263888  -6.13699077   5.60583255 -30.0228853 -13.08609373
## 96    10.99263888  -6.13699077   5.60583255 -30.0228853 -13.08609373
## 97     2.86664791   2.18690508  27.45085583 -20.5430781  36.72812483
## 98     2.86664791   2.18690508  27.45085583 -20.5430781  36.72812483
## 99     2.86664791   2.18690508  27.45085583 -20.5430781  36.72812483
## 100    2.86664791   2.18690508  27.45085583 -20.5430781  36.72812483
## 101    2.86664791   2.18690508  27.45085583 -20.5430781  36.72812483
## 102    2.86664791   2.18690508  27.45085583 -20.5430781  36.72812483
## 103    2.86664791   2.18690508  27.45085583 -20.5430781  36.72812483
## 104    2.86664791   2.18690508  27.45085583 -20.5430781  36.72812483
## 105    7.56268247   6.46427783   3.62593653   2.1122121  13.81871113
## 106    7.56268247   6.46427783   3.62593653   2.1122121  13.81871113
## 107    7.56268247   6.46427783   3.62593653   2.1122121  13.81871113
## 108    7.56268247   6.46427783   3.62593653   2.1122121  13.81871113
## 109    7.56268247   6.46427783   3.62593653   2.1122121  13.81871113
## 110    7.56268247   6.46427783   3.62593653   2.1122121  13.81871113
## 111    7.56268247   6.46427783   3.62593653   2.1122121  13.81871113
## 112    7.56268247   6.46427783   3.62593653   2.1122121  13.81871113
## 113   -4.65550050  -5.31428278   3.66397897  -3.5506251   4.40418944
## 114   -4.65550050  -5.31428278   3.66397897  -3.5506251   4.40418944
## 115   -4.65550050  -5.31428278   3.66397897  -3.5506251   4.40418944
## 116   -4.65550050  -5.31428278   3.66397897  -3.5506251   4.40418944
## 117   -4.65550050  -5.31428278   3.66397897  -3.5506251   4.40418944
## 118   -4.65550050  -5.31428278   3.66397897  -3.5506251   4.40418944
## 119   -4.65550050  -5.31428278   3.66397897  -3.5506251   4.40418944
## 120   -4.65550050  -5.31428278   3.66397897  -3.5506251   4.40418944
## 121    3.99434274   4.58364851   7.03055527  -4.0690565  -8.24297368
## 122    3.99434274   4.58364851   7.03055527  -4.0690565  -8.24297368
## 123    3.99434274   4.58364851   7.03055527  -4.0690565  -8.24297368
## 124    3.99434274   4.58364851   7.03055527  -4.0690565  -8.24297368
## 125    3.99434274   4.58364851   7.03055527  -4.0690565  -8.24297368
## 126    3.99434274   4.58364851   7.03055527  -4.0690565  -8.24297368
## 127    3.99434274   4.58364851   7.03055527  -4.0690565  -8.24297368
## 128    3.99434274   4.58364851   7.03055527  -4.0690565  -8.24297368
## 129    0.98420396 -27.64288392 -19.90529254  -7.7931313 -25.83785469
## 130    0.98420396 -27.64288392 -19.90529254  -7.7931313 -25.83785469
## 131    0.98420396 -27.64288392 -19.90529254  -7.7931313 -25.83785469
## 132    0.98420396 -27.64288392 -19.90529254  -7.7931313 -25.83785469
## 133    0.98420396 -27.64288392 -19.90529254  -7.7931313 -25.83785469
## 134    0.98420396 -27.64288392 -19.90529254  -7.7931313 -25.83785469
## 135    0.98420396 -27.64288392 -19.90529254  -7.7931313 -25.83785469
## 136    0.98420396 -27.64288392 -19.90529254  -7.7931313 -25.83785469
## 137    0.34935745   5.85226251   2.48277775   0.2871137  -2.94441032
## 138    0.34935745   5.85226251   2.48277775   0.2871137  -2.94441032
## 139    0.34935745   5.85226251   2.48277775   0.2871137  -2.94441032
## 140    0.34935745   5.85226251   2.48277775   0.2871137  -2.94441032
## 141    0.34935745   5.85226251   2.48277775   0.2871137  -2.94441032
## 142    0.34935745   5.85226251   2.48277775   0.2871137  -2.94441032
## 143    0.34935745   5.85226251   2.48277775   0.2871137  -2.94441032
## 144    0.34935745   5.85226251   2.48277775   0.2871137  -2.94441032
## 145    2.66662511 -49.40071850   7.45212426   2.8907992  28.24968433
## 146    2.66662511 -49.40071850   7.45212426   2.8907992  28.24968433
## 147    2.66662511 -49.40071850   7.45212426   2.8907992  28.24968433
## 148    2.66662511 -49.40071850   7.45212426   2.8907992  28.24968433
## 149    2.66662511 -49.40071850   7.45212426   2.8907992  28.24968433
## 150    2.66662511 -49.40071850   7.45212426   2.8907992  28.24968433
## 151    2.66662511 -49.40071850   7.45212426   2.8907992  28.24968433
## 152    2.66662511 -49.40071850   7.45212426   2.8907992  28.24968433
## 153   -0.43538340   3.77664424  -1.92063381   8.8040757  -1.77623274
## 154   -0.43538340   3.77664424  -1.92063381   8.8040757  -1.77623274
## 155   -0.43538340   3.77664424  -1.92063381   8.8040757  -1.77623274
## 156   -0.43538340   3.77664424  -1.92063381   8.8040757  -1.77623274
## 157   -0.43538340   3.77664424  -1.92063381   8.8040757  -1.77623274
## 158   -0.43538340   3.77664424  -1.92063381   8.8040757  -1.77623274
## 159   -0.43538340   3.77664424  -1.92063381   8.8040757  -1.77623274
## 160   -0.43538340   3.77664424  -1.92063381   8.8040757  -1.77623274
## 161   -3.85437340  -9.21733317   6.52666964   6.1899071 -10.48260279
## 162   -3.85437340  -9.21733317   6.52666964   6.1899071 -10.48260279
## 163   -3.85437340  -9.21733317   6.52666964   6.1899071 -10.48260279
## 164   -3.85437340  -9.21733317   6.52666964   6.1899071 -10.48260279
## 165   -3.85437340  -9.21733317   6.52666964   6.1899071 -10.48260279
## 166   -3.85437340  -9.21733317   6.52666964   6.1899071 -10.48260279
## 167   -3.85437340  -9.21733317   6.52666964   6.1899071 -10.48260279
## 168   -3.85437340  -9.21733317   6.52666964   6.1899071 -10.48260279
## 169    1.08264428  -2.92277346  -1.07843406  -5.8907443   0.91670749
## 170    1.08264428  -2.92277346  -1.07843406  -5.8907443   0.91670749
## 171    1.08264428  -2.92277346  -1.07843406  -5.8907443   0.91670749
## 172    1.08264428  -2.92277346  -1.07843406  -5.8907443   0.91670749
## 173    1.08264428  -2.92277346  -1.07843406  -5.8907443   0.91670749
## 174    1.08264428  -2.92277346  -1.07843406  -5.8907443   0.91670749
## 175    1.08264428  -2.92277346  -1.07843406  -5.8907443   0.91670749
## 176    1.08264428  -2.92277346  -1.07843406  -5.8907443   0.91670749
## 177    0.36022947  -0.07989053  -2.25345720  -3.8561446   0.04942206
## 178    0.36022947  -0.07989053  -2.25345720  -3.8561446   0.04942206
## 179    0.36022947  -0.07989053  -2.25345720  -3.8561446   0.04942206
## 180    0.36022947  -0.07989053  -2.25345720  -3.8561446   0.04942206
## 181    0.36022947  -0.07989053  -2.25345720  -3.8561446   0.04942206
## 182    0.36022947  -0.07989053  -2.25345720  -3.8561446   0.04942206
## 183    0.36022947  -0.07989053  -2.25345720  -3.8561446   0.04942206
## 184    0.36022947  -0.07989053  -2.25345720  -3.8561446   0.04942206
## 185    4.58393471  -2.76381881  -0.18388625   4.0725814  -4.76128393
## 186    4.58393471  -2.76381881  -0.18388625   4.0725814  -4.76128393
## 187    4.58393471  -2.76381881  -0.18388625   4.0725814  -4.76128393
## 188    4.58393471  -2.76381881  -0.18388625   4.0725814  -4.76128393
## 189    4.58393471  -2.76381881  -0.18388625   4.0725814  -4.76128393
## 190    4.58393471  -2.76381881  -0.18388625   4.0725814  -4.76128393
## 191    4.58393471  -2.76381881  -0.18388625   4.0725814  -4.76128393
## 192    4.58393471  -2.76381881  -0.18388625   4.0725814  -4.76128393
## 193   -5.87264713  37.92037816   2.69179371   6.7277218 -14.46790284
## 194   -5.87264713  37.92037816   2.69179371   6.7277218 -14.46790284
## 195   -5.87264713  37.92037816   2.69179371   6.7277218 -14.46790284
## 196   -5.87264713  37.92037816   2.69179371   6.7277218 -14.46790284
## 197   -5.87264713  37.92037816   2.69179371   6.7277218 -14.46790284
## 198   -5.87264713  37.92037816   2.69179371   6.7277218 -14.46790284
## 199   -5.87264713  37.92037816   2.69179371   6.7277218 -14.46790284
## 200   -5.87264713  37.92037816   2.69179371   6.7277218 -14.46790284
## 201  -81.34049679   1.78959451  -2.85049128   0.9313960  -4.10346253
## 202  -81.34049679   1.78959451  -2.85049128   0.9313960  -4.10346253
## 203  -81.34049679   1.78959451  -2.85049128   0.9313960  -4.10346253
## 204  -81.34049679   1.78959451  -2.85049128   0.9313960  -4.10346253
## 205  -81.34049679   1.78959451  -2.85049128   0.9313960  -4.10346253
## 206  -81.34049679   1.78959451  -2.85049128   0.9313960  -4.10346253
## 207  -81.34049679   1.78959451  -2.85049128   0.9313960  -4.10346253
## 208  -81.34049679   1.78959451  -2.85049128   0.9313960  -4.10346253
## 209    3.32848948  -1.24222128   0.31249062   7.0408444  -1.14802546
## 210    3.32848948  -1.24222128   0.31249062   7.0408444  -1.14802546
## 211    3.32848948  -1.24222128   0.31249062   7.0408444  -1.14802546
## 212    3.32848948  -1.24222128   0.31249062   7.0408444  -1.14802546
## 213    3.32848948  -1.24222128   0.31249062   7.0408444  -1.14802546
## 214    3.32848948  -1.24222128   0.31249062   7.0408444  -1.14802546
## 215    3.32848948  -1.24222128   0.31249062   7.0408444  -1.14802546
## 216    3.32848948  -1.24222128   0.31249062   7.0408444  -1.14802546
## 217    3.39347702   0.52901519  -0.41011539  -2.9276008  -0.20540833
## 218    3.39347702   0.52901519  -0.41011539  -2.9276008  -0.20540833
## 219    3.39347702   0.52901519  -0.41011539  -2.9276008  -0.20540833
## 220    3.39347702   0.52901519  -0.41011539  -2.9276008  -0.20540833
## 221    3.39347702   0.52901519  -0.41011539  -2.9276008  -0.20540833
## 222    3.39347702   0.52901519  -0.41011539  -2.9276008  -0.20540833
## 223    3.39347702   0.52901519  -0.41011539  -2.9276008  -0.20540833
## 224    3.39347702   0.52901519  -0.41011539  -2.9276008  -0.20540833
## 225    1.33396261   2.78248653  -0.51866569   2.2187668   1.72871837
## 226    1.33396261   2.78248653  -0.51866569   2.2187668   1.72871837
## 227    1.33396261   2.78248653  -0.51866569   2.2187668   1.72871837
## 228    1.33396261   2.78248653  -0.51866569   2.2187668   1.72871837
## 229    1.33396261   2.78248653  -0.51866569   2.2187668   1.72871837
## 230    1.33396261   2.78248653  -0.51866569   2.2187668   1.72871837
## 231    1.33396261   2.78248653  -0.51866569   2.2187668   1.72871837
## 232    1.33396261   2.78248653  -0.51866569   2.2187668   1.72871837
## 233  -10.18092244  -5.25261897  -4.38949309   5.8738030  -6.11037955
## 234  -10.18092244  -5.25261897  -4.38949309   5.8738030  -6.11037955
## 235  -10.18092244  -5.25261897  -4.38949309   5.8738030  -6.11037955
## 236  -10.18092244  -5.25261897  -4.38949309   5.8738030  -6.11037955
## 237  -10.18092244  -5.25261897  -4.38949309   5.8738030  -6.11037955
## 238  -10.18092244  -5.25261897  -4.38949309   5.8738030  -6.11037955
## 239  -10.18092244  -5.25261897  -4.38949309   5.8738030  -6.11037955
## 240  -10.18092244  -5.25261897  -4.38949309   5.8738030  -6.11037955
## 241    7.79860306  30.07240014  16.48120843   6.6227403 -35.60360271
## 242    7.79860306  30.07240014  16.48120843   6.6227403 -35.60360271
## 243    7.79860306  30.07240014  16.48120843   6.6227403 -35.60360271
## 244    7.79860306  30.07240014  16.48120843   6.6227403 -35.60360271
## 245    7.79860306  30.07240014  16.48120843   6.6227403 -35.60360271
## 246    7.79860306  30.07240014  16.48120843   6.6227403 -35.60360271
## 247    7.79860306  30.07240014  16.48120843   6.6227403 -35.60360271
## 248    7.79860306  30.07240014  16.48120843   6.6227403 -35.60360271
## 249    4.10329155   8.24540765   6.15107271   3.2804483   6.07800189
## 250    4.10329155   8.24540765   6.15107271   3.2804483   6.07800189
## 251    4.10329155   8.24540765   6.15107271   3.2804483   6.07800189
## 252    4.10329155   8.24540765   6.15107271   3.2804483   6.07800189
## 253    4.10329155   8.24540765   6.15107271   3.2804483   6.07800189
## 254    4.10329155   8.24540765   6.15107271   3.2804483   6.07800189
## 255    4.10329155   8.24540765   6.15107271   3.2804483   6.07800189
## 256    4.10329155   8.24540765   6.15107271   3.2804483   6.07800189
## 257   -1.90016258  -8.84403285  -0.45612165   1.4928851  -0.71068039
## 258   -1.90016258  -8.84403285  -0.45612165   1.4928851  -0.71068039
## 259   -1.90016258  -8.84403285  -0.45612165   1.4928851  -0.71068039
## 260   -1.90016258  -8.84403285  -0.45612165   1.4928851  -0.71068039
## 261   -1.90016258  -8.84403285  -0.45612165   1.4928851  -0.71068039
## 262   -1.90016258  -8.84403285  -0.45612165   1.4928851  -0.71068039
## 263   -1.90016258  -8.84403285  -0.45612165   1.4928851  -0.71068039
## 264   -1.90016258  -8.84403285  -0.45612165   1.4928851  -0.71068039
## 265  -25.40586133  10.59753042   9.99141484   1.3692873  13.30670487
## 266  -25.40586133  10.59753042   9.99141484   1.3692873  13.30670487
## 267  -25.40586133  10.59753042   9.99141484   1.3692873  13.30670487
## 268  -25.40586133  10.59753042   9.99141484   1.3692873  13.30670487
## 269  -25.40586133  10.59753042   9.99141484   1.3692873  13.30670487
## 270  -25.40586133  10.59753042   9.99141484   1.3692873  13.30670487
## 271  -25.40586133  10.59753042   9.99141484   1.3692873  13.30670487
## 272  -25.40586133  10.59753042   9.99141484   1.3692873  13.30670487
## 273   33.38980236  18.17247080 -15.11967727  -5.9661506 -30.46054713
## 274   33.38980236  18.17247080 -15.11967727  -5.9661506 -30.46054713
## 275   33.38980236  18.17247080 -15.11967727  -5.9661506 -30.46054713
## 276   33.38980236  18.17247080 -15.11967727  -5.9661506 -30.46054713
## 277   33.38980236  18.17247080 -15.11967727  -5.9661506 -30.46054713
## 278   33.38980236  18.17247080 -15.11967727  -5.9661506 -30.46054713
## 279   33.38980236  18.17247080 -15.11967727  -5.9661506 -30.46054713
## 280   33.38980236  18.17247080 -15.11967727  -5.9661506 -30.46054713
## 281   11.87041487  -0.32817706 -16.56485743  -1.9464970  20.28287271
## 282   11.87041487  -0.32817706 -16.56485743  -1.9464970  20.28287271
## 283   11.87041487  -0.32817706 -16.56485743  -1.9464970  20.28287271
## 284   11.87041487  -0.32817706 -16.56485743  -1.9464970  20.28287271
## 285   11.87041487  -0.32817706 -16.56485743  -1.9464970  20.28287271
## 286   11.87041487  -0.32817706 -16.56485743  -1.9464970  20.28287271
## 287   11.87041487  -0.32817706 -16.56485743  -1.9464970  20.28287271
## 288   11.87041487  -0.32817706 -16.56485743  -1.9464970  20.28287271
## 289   -2.91618946   6.75603608   3.82170837  -7.7056240  10.95395453
## 290   -2.91618946   6.75603608   3.82170837  -7.7056240  10.95395453
## 291   -2.91618946   6.75603608   3.82170837  -7.7056240  10.95395453
## 292   -2.91618946   6.75603608   3.82170837  -7.7056240  10.95395453
## 293   -2.91618946   6.75603608   3.82170837  -7.7056240  10.95395453
## 294   -2.91618946   6.75603608   3.82170837  -7.7056240  10.95395453
## 295   -2.91618946   6.75603608   3.82170837  -7.7056240  10.95395453
## 296   -2.91618946   6.75603608   3.82170837  -7.7056240  10.95395453
## 297    9.19894163  -3.57498470   6.55137836  -4.3533539   7.89535828
## 298    9.19894163  -3.57498470   6.55137836  -4.3533539   7.89535828
## 299    9.19894163  -3.57498470   6.55137836  -4.3533539   7.89535828
## 300    9.19894163  -3.57498470   6.55137836  -4.3533539   7.89535828
## 301    9.19894163  -3.57498470   6.55137836  -4.3533539   7.89535828
## 302    9.19894163  -3.57498470   6.55137836  -4.3533539   7.89535828
## 303    9.19894163  -3.57498470   6.55137836  -4.3533539   7.89535828
## 304    9.19894163  -3.57498470   6.55137836  -4.3533539   7.89535828
## 305    0.79489017   2.12517755   1.84630000   0.6317756   6.64635224
## 306    0.79489017   2.12517755   1.84630000   0.6317756   6.64635224
## 307    0.79489017   2.12517755   1.84630000   0.6317756   6.64635224
## 308    0.79489017   2.12517755   1.84630000   0.6317756   6.64635224
## 309    0.79489017   2.12517755   1.84630000   0.6317756   6.64635224
## 310    0.79489017   2.12517755   1.84630000   0.6317756   6.64635224
## 311    0.79489017   2.12517755   1.84630000   0.6317756   6.64635224
## 312    0.79489017   2.12517755   1.84630000   0.6317756   6.64635224
## 313  -14.41716418  -2.48559883  -1.16605358  -0.2805042  -7.40381137
## 314  -14.41716418  -2.48559883  -1.16605358  -0.2805042  -7.40381137
## 315  -14.41716418  -2.48559883  -1.16605358  -0.2805042  -7.40381137
## 316  -14.41716418  -2.48559883  -1.16605358  -0.2805042  -7.40381137
## 317  -14.41716418  -2.48559883  -1.16605358  -0.2805042  -7.40381137
## 318  -14.41716418  -2.48559883  -1.16605358  -0.2805042  -7.40381137
## 319  -14.41716418  -2.48559883  -1.16605358  -0.2805042  -7.40381137
## 320  -14.41716418  -2.48559883  -1.16605358  -0.2805042  -7.40381137
## 321   13.63827422   5.04222648  -1.73336906  -2.4205965  -4.68359721
## 322   13.63827422   5.04222648  -1.73336906  -2.4205965  -4.68359721
## 323   13.63827422   5.04222648  -1.73336906  -2.4205965  -4.68359721
## 324   13.63827422   5.04222648  -1.73336906  -2.4205965  -4.68359721
## 325   13.63827422   5.04222648  -1.73336906  -2.4205965  -4.68359721
## 326   13.63827422   5.04222648  -1.73336906  -2.4205965  -4.68359721
## 327   13.63827422   5.04222648  -1.73336906  -2.4205965  -4.68359721
## 328   13.63827422   5.04222648  -1.73336906  -2.4205965  -4.68359721
## 329    7.68986766 -13.01209295   0.99990529  -5.1079940  -1.08022509
## 330    7.68986766 -13.01209295   0.99990529  -5.1079940  -1.08022509
## 331    7.68986766 -13.01209295   0.99990529  -5.1079940  -1.08022509
## 332    7.68986766 -13.01209295   0.99990529  -5.1079940  -1.08022509
## 333    7.68986766 -13.01209295   0.99990529  -5.1079940  -1.08022509
## 334    7.68986766 -13.01209295   0.99990529  -5.1079940  -1.08022509
## 335    7.68986766 -13.01209295   0.99990529  -5.1079940  -1.08022509
## 336    7.68986766 -13.01209295   0.99990529  -5.1079940  -1.08022509
## 337  -49.35149586   9.35559538   8.38668972 -26.8293439  -8.38732558
## 338  -49.35149586   9.35559538   8.38668972 -26.8293439  -8.38732558
## 339  -49.35149586   9.35559538   8.38668972 -26.8293439  -8.38732558
## 340  -49.35149586   9.35559538   8.38668972 -26.8293439  -8.38732558
## 341  -49.35149586   9.35559538   8.38668972 -26.8293439  -8.38732558
## 342  -49.35149586   9.35559538   8.38668972 -26.8293439  -8.38732558
## 343  -49.35149586   9.35559538   8.38668972 -26.8293439  -8.38732558
## 344  -49.35149586   9.35559538   8.38668972 -26.8293439  -8.38732558
## 345   39.25330103   2.97300203  -1.47634115  80.5533141   7.29333275
## 346   39.25330103   2.97300203  -1.47634115  80.5533141   7.29333275
## 347   39.25330103   2.97300203  -1.47634115  80.5533141   7.29333275
## 348   39.25330103   2.97300203  -1.47634115  80.5533141   7.29333275
## 349   39.25330103   2.97300203  -1.47634115  80.5533141   7.29333275
## 350   39.25330103   2.97300203  -1.47634115  80.5533141   7.29333275
## 351   39.25330103   2.97300203  -1.47634115  80.5533141   7.29333275
## 352   39.25330103   2.97300203  -1.47634115  80.5533141   7.29333275
## 353    1.29943160 -44.86421121  -1.22520313  -4.9079139   1.19632426
## 354    1.29943160 -44.86421121  -1.22520313  -4.9079139   1.19632426
## 355    1.29943160 -44.86421121  -1.22520313  -4.9079139   1.19632426
## 356    1.29943160 -44.86421121  -1.22520313  -4.9079139   1.19632426
## 357    1.29943160 -44.86421121  -1.22520313  -4.9079139   1.19632426
## 358    1.29943160 -44.86421121  -1.22520313  -4.9079139   1.19632426
## 359    1.29943160 -44.86421121  -1.22520313  -4.9079139   1.19632426
## 360    1.29943160 -44.86421121  -1.22520313  -4.9079139   1.19632426
## 361    4.73902858   1.65890108  -0.54318256 -11.4308911   0.37285497
## 362    4.73902858   1.65890108  -0.54318256 -11.4308911   0.37285497
## 363    4.73902858   1.65890108  -0.54318256 -11.4308911   0.37285497
## 364    4.73902858   1.65890108  -0.54318256 -11.4308911   0.37285497
## 365    4.73902858   1.65890108  -0.54318256 -11.4308911   0.37285497
## 366    4.73902858   1.65890108  -0.54318256 -11.4308911   0.37285497
## 367    4.73902858   1.65890108  -0.54318256 -11.4308911   0.37285497
## 368    4.73902858   1.65890108  -0.54318256 -11.4308911   0.37285497
## 369   -7.09570599 -21.42559083   8.02123085   3.9483010  -6.46153015
## 370   -7.09570599 -21.42559083   8.02123085   3.9483010  -6.46153015
## 371   -7.09570599 -21.42559083   8.02123085   3.9483010  -6.46153015
## 372   -7.09570599 -21.42559083   8.02123085   3.9483010  -6.46153015
## 373   -7.09570599 -21.42559083   8.02123085   3.9483010  -6.46153015
## 374   -7.09570599 -21.42559083   8.02123085   3.9483010  -6.46153015
## 375   -7.09570599 -21.42559083   8.02123085   3.9483010  -6.46153015
## 376   -7.09570599 -21.42559083   8.02123085   3.9483010  -6.46153015
## 377    6.69783216 -23.28747877   2.13541015   0.4242431 -19.14069980
## 378    6.69783216 -23.28747877   2.13541015   0.4242431 -19.14069980
## 379    6.69783216 -23.28747877   2.13541015   0.4242431 -19.14069980
## 380    6.69783216 -23.28747877   2.13541015   0.4242431 -19.14069980
## 381    6.69783216 -23.28747877   2.13541015   0.4242431 -19.14069980
## 382    6.69783216 -23.28747877   2.13541015   0.4242431 -19.14069980
## 383    6.69783216 -23.28747877   2.13541015   0.4242431 -19.14069980
## 384    6.69783216 -23.28747877   2.13541015   0.4242431 -19.14069980
## 385   -0.51691171  -7.53086231   4.97013088  -0.2526233  -2.76562877
## 386   -0.51691171  -7.53086231   4.97013088  -0.2526233  -2.76562877
## 387   -0.51691171  -7.53086231   4.97013088  -0.2526233  -2.76562877
## 388   -0.51691171  -7.53086231   4.97013088  -0.2526233  -2.76562877
## 389   -0.51691171  -7.53086231   4.97013088  -0.2526233  -2.76562877
## 390   -0.51691171  -7.53086231   4.97013088  -0.2526233  -2.76562877
## 391   -0.51691171  -7.53086231   4.97013088  -0.2526233  -2.76562877
## 392   -0.51691171  -7.53086231   4.97013088  -0.2526233  -2.76562877
## 393    0.55051587  -0.21696991   3.59369403  -1.0416293   0.36303999
## 394    0.55051587  -0.21696991   3.59369403  -1.0416293   0.36303999
## 395    0.55051587  -0.21696991   3.59369403  -1.0416293   0.36303999
## 396    0.55051587  -0.21696991   3.59369403  -1.0416293   0.36303999
## 397    0.55051587  -0.21696991   3.59369403  -1.0416293   0.36303999
## 398    0.55051587  -0.21696991   3.59369403  -1.0416293   0.36303999
## 399    0.55051587  -0.21696991   3.59369403  -1.0416293   0.36303999
## 400    0.55051587  -0.21696991   3.59369403  -1.0416293   0.36303999
## 401   -1.07932100  -2.22775600  16.58860211  22.5913156   0.99628752
## 402   -1.07932100  -2.22775600  16.58860211  22.5913156   0.99628752
## 403   -1.07932100  -2.22775600  16.58860211  22.5913156   0.99628752
## 404   -1.07932100  -2.22775600  16.58860211  22.5913156   0.99628752
## 405   -1.07932100  -2.22775600  16.58860211  22.5913156   0.99628752
## 406   -1.07932100  -2.22775600  16.58860211  22.5913156   0.99628752
## 407   -1.07932100  -2.22775600  16.58860211  22.5913156   0.99628752
## 408   -1.07932100  -2.22775600  16.58860211  22.5913156   0.99628752
## 409    7.99030325   3.04868690 -19.67196727  18.5385098 -23.33678899
## 410    7.99030325   3.04868690 -19.67196727  18.5385098 -23.33678899
## 411    7.99030325   3.04868690 -19.67196727  18.5385098 -23.33678899
## 412    7.99030325   3.04868690 -19.67196727  18.5385098 -23.33678899
## 413    7.99030325   3.04868690 -19.67196727  18.5385098 -23.33678899
## 414    7.99030325   3.04868690 -19.67196727  18.5385098 -23.33678899
## 415    7.99030325   3.04868690 -19.67196727  18.5385098 -23.33678899
## 416    7.99030325   3.04868690 -19.67196727  18.5385098 -23.33678899
## 417    0.63128422 -10.13000647   3.88298854   0.8804562  -7.37966690
## 418    0.63128422 -10.13000647   3.88298854   0.8804562  -7.37966690
## 419    0.63128422 -10.13000647   3.88298854   0.8804562  -7.37966690
## 420    0.63128422 -10.13000647   3.88298854   0.8804562  -7.37966690
## 421    0.63128422 -10.13000647   3.88298854   0.8804562  -7.37966690
## 422    0.63128422 -10.13000647   3.88298854   0.8804562  -7.37966690
## 423    0.63128422 -10.13000647   3.88298854   0.8804562  -7.37966690
## 424    0.63128422 -10.13000647   3.88298854   0.8804562  -7.37966690
## 425   -6.60208315   1.95336356  16.46942901  17.8569450 -14.20066902
## 426   -6.60208315   1.95336356  16.46942901  17.8569450 -14.20066902
## 427   -6.60208315   1.95336356  16.46942901  17.8569450 -14.20066902
## 428   -6.60208315   1.95336356  16.46942901  17.8569450 -14.20066902
## 429   -6.60208315   1.95336356  16.46942901  17.8569450 -14.20066902
## 430   -6.60208315   1.95336356  16.46942901  17.8569450 -14.20066902
## 431   -6.60208315   1.95336356  16.46942901  17.8569450 -14.20066902
## 432   -6.60208315   1.95336356  16.46942901  17.8569450 -14.20066902
## 433    1.50828570  -5.29381632  15.96673545  -4.7967328  12.57717411
## 434    1.50828570  -5.29381632  15.96673545  -4.7967328  12.57717411
## 435    1.50828570  -5.29381632  15.96673545  -4.7967328  12.57717411
## 436    1.50828570  -5.29381632  15.96673545  -4.7967328  12.57717411
## 437    1.50828570  -5.29381632  15.96673545  -4.7967328  12.57717411
## 438    1.50828570  -5.29381632  15.96673545  -4.7967328  12.57717411
## 439    1.50828570  -5.29381632  15.96673545  -4.7967328  12.57717411
## 440    1.50828570  -5.29381632  15.96673545  -4.7967328  12.57717411
## 441   -4.22320645  -3.40891330   0.50552674   4.5217571  -5.51414005
## 442   -4.22320645  -3.40891330   0.50552674   4.5217571  -5.51414005
## 443   -4.22320645  -3.40891330   0.50552674   4.5217571  -5.51414005
## 444   -4.22320645  -3.40891330   0.50552674   4.5217571  -5.51414005
## 445   -4.22320645  -3.40891330   0.50552674   4.5217571  -5.51414005
## 446   -4.22320645  -3.40891330   0.50552674   4.5217571  -5.51414005
## 447   -4.22320645  -3.40891330   0.50552674   4.5217571  -5.51414005
## 448   -4.22320645  -3.40891330   0.50552674   4.5217571  -5.51414005
## 449    1.66984485  -4.35724775  -0.07282245  -0.2479463   5.42381977
## 450    1.66984485  -4.35724775  -0.07282245  -0.2479463   5.42381977
## 451    1.66984485  -4.35724775  -0.07282245  -0.2479463   5.42381977
## 452    1.66984485  -4.35724775  -0.07282245  -0.2479463   5.42381977
## 453    1.66984485  -4.35724775  -0.07282245  -0.2479463   5.42381977
## 454    1.66984485  -4.35724775  -0.07282245  -0.2479463   5.42381977
## 455    1.66984485  -4.35724775  -0.07282245  -0.2479463   5.42381977
## 456    1.66984485  -4.35724775  -0.07282245  -0.2479463   5.42381977
## 457    0.19298306  -7.03398137   7.95692573 -10.5655869  10.79924353
## 458    0.19298306  -7.03398137   7.95692573 -10.5655869  10.79924353
## 459    0.19298306  -7.03398137   7.95692573 -10.5655869  10.79924353
## 460    0.19298306  -7.03398137   7.95692573 -10.5655869  10.79924353
## 461    0.19298306  -7.03398137   7.95692573 -10.5655869  10.79924353
## 462    0.19298306  -7.03398137   7.95692573 -10.5655869  10.79924353
## 463    0.19298306  -7.03398137   7.95692573 -10.5655869  10.79924353
## 464    0.19298306  -7.03398137   7.95692573 -10.5655869  10.79924353
## 465   -4.43165863  13.66532749 -25.86823450  -8.9069828  -9.28575191
## 466   -4.43165863  13.66532749 -25.86823450  -8.9069828  -9.28575191
## 467   -4.43165863  13.66532749 -25.86823450  -8.9069828  -9.28575191
## 468   -4.43165863  13.66532749 -25.86823450  -8.9069828  -9.28575191
## 469   -4.43165863  13.66532749 -25.86823450  -8.9069828  -9.28575191
## 470   -4.43165863  13.66532749 -25.86823450  -8.9069828  -9.28575191
## 471   -4.43165863  13.66532749 -25.86823450  -8.9069828  -9.28575191
## 472   -4.43165863  13.66532749 -25.86823450  -8.9069828  -9.28575191
## 473  -23.96012703   0.94298517   2.00009700  -5.0096152  -2.53261057
## 474  -23.96012703   0.94298517   2.00009700  -5.0096152  -2.53261057
## 475  -23.96012703   0.94298517   2.00009700  -5.0096152  -2.53261057
## 476  -23.96012703   0.94298517   2.00009700  -5.0096152  -2.53261057
## 477  -23.96012703   0.94298517   2.00009700  -5.0096152  -2.53261057
## 478  -23.96012703   0.94298517   2.00009700  -5.0096152  -2.53261057
## 479  -23.96012703   0.94298517   2.00009700  -5.0096152  -2.53261057
## 480  -23.96012703   0.94298517   2.00009700  -5.0096152  -2.53261057
## 481    9.79201788  -0.13789337  -5.25251085   9.5127303  -4.15728238
## 482    9.79201788  -0.13789337  -5.25251085   9.5127303  -4.15728238
## 483    9.79201788  -0.13789337  -5.25251085   9.5127303  -4.15728238
## 484    9.79201788  -0.13789337  -5.25251085   9.5127303  -4.15728238
## 485    9.79201788  -0.13789337  -5.25251085   9.5127303  -4.15728238
## 486    9.79201788  -0.13789337  -5.25251085   9.5127303  -4.15728238
## 487    9.79201788  -0.13789337  -5.25251085   9.5127303  -4.15728238
## 488    9.79201788  -0.13789337  -5.25251085   9.5127303  -4.15728238
## 489   -5.32333114   6.19972582   2.90807419   3.7234446   2.39789496
## 490   -5.32333114   6.19972582   2.90807419   3.7234446   2.39789496
## 491   -5.32333114   6.19972582   2.90807419   3.7234446   2.39789496
## 492   -5.32333114   6.19972582   2.90807419   3.7234446   2.39789496
## 493   -5.32333114   6.19972582   2.90807419   3.7234446   2.39789496
## 494   -5.32333114   6.19972582   2.90807419   3.7234446   2.39789496
## 495   -5.32333114   6.19972582   2.90807419   3.7234446   2.39789496
## 496   -5.32333114   6.19972582   2.90807419   3.7234446   2.39789496
## 497   -1.46483031 -15.18021659   2.64692900  -4.9967913  -0.94527540
## 498   -1.46483031 -15.18021659   2.64692900  -4.9967913  -0.94527540
## 499   -1.46483031 -15.18021659   2.64692900  -4.9967913  -0.94527540
## 500   -1.46483031 -15.18021659   2.64692900  -4.9967913  -0.94527540
## 501   -1.46483031 -15.18021659   2.64692900  -4.9967913  -0.94527540
## 502   -1.46483031 -15.18021659   2.64692900  -4.9967913  -0.94527540
## 503   -1.46483031 -15.18021659   2.64692900  -4.9967913  -0.94527540
## 504   -1.46483031 -15.18021659   2.64692900  -4.9967913  -0.94527540
## 505    0.96133485   5.03393246  -2.95236788 -14.5665216   1.33542238
## 506    0.96133485   5.03393246  -2.95236788 -14.5665216   1.33542238
## 507    0.96133485   5.03393246  -2.95236788 -14.5665216   1.33542238
## 508    0.96133485   5.03393246  -2.95236788 -14.5665216   1.33542238
## 509    0.96133485   5.03393246  -2.95236788 -14.5665216   1.33542238
## 510    0.96133485   5.03393246  -2.95236788 -14.5665216   1.33542238
## 511    0.96133485   5.03393246  -2.95236788 -14.5665216   1.33542238
## 512    0.96133485   5.03393246  -2.95236788 -14.5665216   1.33542238
## 513   -3.79292730   0.76533447  -0.20642354   4.4195776   2.34652187
## 514   -3.79292730   0.76533447  -0.20642354   4.4195776   2.34652187
## 515   -3.79292730   0.76533447  -0.20642354   4.4195776   2.34652187
## 516   -3.79292730   0.76533447  -0.20642354   4.4195776   2.34652187
## 517   -3.79292730   0.76533447  -0.20642354   4.4195776   2.34652187
## 518   -3.79292730   0.76533447  -0.20642354   4.4195776   2.34652187
## 519   -3.79292730   0.76533447  -0.20642354   4.4195776   2.34652187
## 520   -3.79292730   0.76533447  -0.20642354   4.4195776   2.34652187
## 521  -14.38301622  19.48791443  -9.42650261   1.3783103   6.70795216
## 522  -14.38301622  19.48791443  -9.42650261   1.3783103   6.70795216
## 523  -14.38301622  19.48791443  -9.42650261   1.3783103   6.70795216
## 524  -14.38301622  19.48791443  -9.42650261   1.3783103   6.70795216
## 525  -14.38301622  19.48791443  -9.42650261   1.3783103   6.70795216
## 526  -14.38301622  19.48791443  -9.42650261   1.3783103   6.70795216
## 527  -14.38301622  19.48791443  -9.42650261   1.3783103   6.70795216
## 528  -14.38301622  19.48791443  -9.42650261   1.3783103   6.70795216
## 529    8.83288564  -7.21277836   2.65774208  21.8633646  11.24298684
## 530    8.83288564  -7.21277836   2.65774208  21.8633646  11.24298684
## 531    8.83288564  -7.21277836   2.65774208  21.8633646  11.24298684
## 532    8.83288564  -7.21277836   2.65774208  21.8633646  11.24298684
## 533    8.83288564  -7.21277836   2.65774208  21.8633646  11.24298684
## 534    8.83288564  -7.21277836   2.65774208  21.8633646  11.24298684
## 535    8.83288564  -7.21277836   2.65774208  21.8633646  11.24298684
## 536    8.83288564  -7.21277836   2.65774208  21.8633646  11.24298684
## 537    4.36748341  28.30009071  -7.68211628  -3.9658929  49.75892913
## 538    4.36748341  28.30009071  -7.68211628  -3.9658929  49.75892913
## 539    4.36748341  28.30009071  -7.68211628  -3.9658929  49.75892913
## 540    4.36748341  28.30009071  -7.68211628  -3.9658929  49.75892913
## 541    4.36748341  28.30009071  -7.68211628  -3.9658929  49.75892913
## 542    4.36748341  28.30009071  -7.68211628  -3.9658929  49.75892913
## 543    4.36748341  28.30009071  -7.68211628  -3.9658929  49.75892913
## 544    4.36748341  28.30009071  -7.68211628  -3.9658929  49.75892913
## 545    1.06261024   1.83841445  -8.11707398   3.2461201   1.56467690
## 546    1.06261024   1.83841445  -8.11707398   3.2461201   1.56467690
## 547    1.06261024   1.83841445  -8.11707398   3.2461201   1.56467690
## 548    1.06261024   1.83841445  -8.11707398   3.2461201   1.56467690
## 549    1.06261024   1.83841445  -8.11707398   3.2461201   1.56467690
## 550    1.06261024   1.83841445  -8.11707398   3.2461201   1.56467690
## 551    1.06261024   1.83841445  -8.11707398   3.2461201   1.56467690
## 552    1.06261024   1.83841445  -8.11707398   3.2461201   1.56467690
## 553  -38.67017843  10.08318617  -8.63997438  29.1310384  10.42907097
## 554  -38.67017843  10.08318617  -8.63997438  29.1310384  10.42907097
## 555  -38.67017843  10.08318617  -8.63997438  29.1310384  10.42907097
## 556  -38.67017843  10.08318617  -8.63997438  29.1310384  10.42907097
## 557  -38.67017843  10.08318617  -8.63997438  29.1310384  10.42907097
## 558  -38.67017843  10.08318617  -8.63997438  29.1310384  10.42907097
## 559  -38.67017843  10.08318617  -8.63997438  29.1310384  10.42907097
## 560  -38.67017843  10.08318617  -8.63997438  29.1310384  10.42907097
## 561    5.11834404   8.50854005  14.23582536   2.2966405  -3.52923263
## 562    5.11834404   8.50854005  14.23582536   2.2966405  -3.52923263
## 563    5.11834404   8.50854005  14.23582536   2.2966405  -3.52923263
## 564    5.11834404   8.50854005  14.23582536   2.2966405  -3.52923263
## 565    5.11834404   8.50854005  14.23582536   2.2966405  -3.52923263
## 566    5.11834404   8.50854005  14.23582536   2.2966405  -3.52923263
## 567    5.11834404   8.50854005  14.23582536   2.2966405  -3.52923263
## 568    5.11834404   8.50854005  14.23582536   2.2966405  -3.52923263
## 569    3.61827399   2.48714246   7.25404534  -2.5334822   2.39858077
## 570    3.61827399   2.48714246   7.25404534  -2.5334822   2.39858077
## 571    3.61827399   2.48714246   7.25404534  -2.5334822   2.39858077
## 572    3.61827399   2.48714246   7.25404534  -2.5334822   2.39858077
## 573    3.61827399   2.48714246   7.25404534  -2.5334822   2.39858077
## 574    3.61827399   2.48714246   7.25404534  -2.5334822   2.39858077
## 575    3.61827399   2.48714246   7.25404534  -2.5334822   2.39858077
## 576    3.61827399   2.48714246   7.25404534  -2.5334822   2.39858077
## 577   -0.10870739   4.70528711  22.37296123  -1.6503320   1.43888397
## 578   -0.10870739   4.70528711  22.37296123  -1.6503320   1.43888397
## 579   -0.10870739   4.70528711  22.37296123  -1.6503320   1.43888397
## 580   -0.10870739   4.70528711  22.37296123  -1.6503320   1.43888397
## 581   -0.10870739   4.70528711  22.37296123  -1.6503320   1.43888397
## 582   -0.10870739   4.70528711  22.37296123  -1.6503320   1.43888397
## 583   -0.10870739   4.70528711  22.37296123  -1.6503320   1.43888397
## 584   -0.10870739   4.70528711  22.37296123  -1.6503320   1.43888397
## 585   -7.60142226   0.51773600  -0.74505021  -4.1956019   0.17234644
## 586   -7.60142226   0.51773600  -0.74505021  -4.1956019   0.17234644
## 587   -7.60142226   0.51773600  -0.74505021  -4.1956019   0.17234644
## 588   -7.60142226   0.51773600  -0.74505021  -4.1956019   0.17234644
## 589   -7.60142226   0.51773600  -0.74505021  -4.1956019   0.17234644
## 590   -7.60142226   0.51773600  -0.74505021  -4.1956019   0.17234644
## 591   -7.60142226   0.51773600  -0.74505021  -4.1956019   0.17234644
## 592   -7.60142226   0.51773600  -0.74505021  -4.1956019   0.17234644
## 593    2.09935918   3.89574240   3.66303940   0.7136729  -4.07369914
## 594    2.09935918   3.89574240   3.66303940   0.7136729  -4.07369914
## 595    2.09935918   3.89574240   3.66303940   0.7136729  -4.07369914
## 596    2.09935918   3.89574240   3.66303940   0.7136729  -4.07369914
## 597    2.09935918   3.89574240   3.66303940   0.7136729  -4.07369914
## 598    2.09935918   3.89574240   3.66303940   0.7136729  -4.07369914
## 599    2.09935918   3.89574240   3.66303940   0.7136729  -4.07369914
## 600    2.09935918   3.89574240   3.66303940   0.7136729  -4.07369914
## 601    1.26483112   0.66517088  -4.57569011   3.7491786   5.42739448
## 602    1.26483112   0.66517088  -4.57569011   3.7491786   5.42739448
## 603    1.26483112   0.66517088  -4.57569011   3.7491786   5.42739448
## 604    1.26483112   0.66517088  -4.57569011   3.7491786   5.42739448
## 605    1.26483112   0.66517088  -4.57569011   3.7491786   5.42739448
## 606    1.26483112   0.66517088  -4.57569011   3.7491786   5.42739448
## 607    1.26483112   0.66517088  -4.57569011   3.7491786   5.42739448
## 608    1.26483112   0.66517088  -4.57569011   3.7491786   5.42739448
## 609    2.23103258   1.30228301   1.50366654   0.1079149   5.46950767
## 610    2.23103258   1.30228301   1.50366654   0.1079149   5.46950767
## 611    2.23103258   1.30228301   1.50366654   0.1079149   5.46950767
## 612    2.23103258   1.30228301   1.50366654   0.1079149   5.46950767
## 613    2.23103258   1.30228301   1.50366654   0.1079149   5.46950767
## 614    2.23103258   1.30228301   1.50366654   0.1079149   5.46950767
## 615    2.23103258   1.30228301   1.50366654   0.1079149   5.46950767
## 616    2.23103258   1.30228301   1.50366654   0.1079149   5.46950767
## 617   -7.37500021 -24.60756680  54.04226069   8.4232050 -19.49062451
## 618   -7.37500021 -24.60756680  54.04226069   8.4232050 -19.49062451
## 619   -7.37500021 -24.60756680  54.04226069   8.4232050 -19.49062451
## 620   -7.37500021 -24.60756680  54.04226069   8.4232050 -19.49062451
## 621   -7.37500021 -24.60756680  54.04226069   8.4232050 -19.49062451
## 622   -7.37500021 -24.60756680  54.04226069   8.4232050 -19.49062451
## 623   -7.37500021 -24.60756680  54.04226069   8.4232050 -19.49062451
## 624   -7.37500021 -24.60756680  54.04226069   8.4232050 -19.49062451
## 625  -15.31615580 -29.13455174 -67.61214427   5.5141795   4.91394189
## 626  -15.31615580 -29.13455174 -67.61214427   5.5141795   4.91394189
## 627  -15.31615580 -29.13455174 -67.61214427   5.5141795   4.91394189
## 628  -15.31615580 -29.13455174 -67.61214427   5.5141795   4.91394189
## 629  -15.31615580 -29.13455174 -67.61214427   5.5141795   4.91394189
## 630  -15.31615580 -29.13455174 -67.61214427   5.5141795   4.91394189
## 631  -15.31615580 -29.13455174 -67.61214427   5.5141795   4.91394189
## 632  -15.31615580 -29.13455174 -67.61214427   5.5141795   4.91394189
## 633   -0.05350021  -9.97076608   5.59691645   2.9660962   7.90223882
## 634   -0.05350021  -9.97076608   5.59691645   2.9660962   7.90223882
## 635   -0.05350021  -9.97076608   5.59691645   2.9660962   7.90223882
## 636   -0.05350021  -9.97076608   5.59691645   2.9660962   7.90223882
## 637   -0.05350021  -9.97076608   5.59691645   2.9660962   7.90223882
## 638   -0.05350021  -9.97076608   5.59691645   2.9660962   7.90223882
## 639   -0.05350021  -9.97076608   5.59691645   2.9660962   7.90223882
## 640   -0.05350021  -9.97076608   5.59691645   2.9660962   7.90223882
## 641   -9.22534910  -1.49478696  -3.02914282  10.4935553  -3.20362079
## 642   -9.22534910  -1.49478696  -3.02914282  10.4935553  -3.20362079
## 643   -9.22534910  -1.49478696  -3.02914282  10.4935553  -3.20362079
## 644   -9.22534910  -1.49478696  -3.02914282  10.4935553  -3.20362079
## 645   -9.22534910  -1.49478696  -3.02914282  10.4935553  -3.20362079
## 646   -9.22534910  -1.49478696  -3.02914282  10.4935553  -3.20362079
## 647   -9.22534910  -1.49478696  -3.02914282  10.4935553  -3.20362079
## 648   -9.22534910  -1.49478696  -3.02914282  10.4935553  -3.20362079
## 649   -2.22426074 -19.83120324 -35.94384489   0.6771519  18.57232990
## 650   -2.22426074 -19.83120324 -35.94384489   0.6771519  18.57232990
## 651   -2.22426074 -19.83120324 -35.94384489   0.6771519  18.57232990
## 652   -2.22426074 -19.83120324 -35.94384489   0.6771519  18.57232990
## 653   -2.22426074 -19.83120324 -35.94384489   0.6771519  18.57232990
## 654   -2.22426074 -19.83120324 -35.94384489   0.6771519  18.57232990
## 655   -2.22426074 -19.83120324 -35.94384489   0.6771519  18.57232990
## 656   -2.22426074 -19.83120324 -35.94384489   0.6771519  18.57232990
## 657   -7.10079270  13.79435081  16.02620378 -15.9839894 -11.88406906
## 658   -7.10079270  13.79435081  16.02620378 -15.9839894 -11.88406906
## 659   -7.10079270  13.79435081  16.02620378 -15.9839894 -11.88406906
## 660   -7.10079270  13.79435081  16.02620378 -15.9839894 -11.88406906
## 661   -7.10079270  13.79435081  16.02620378 -15.9839894 -11.88406906
## 662   -7.10079270  13.79435081  16.02620378 -15.9839894 -11.88406906
## 663   -7.10079270  13.79435081  16.02620378 -15.9839894 -11.88406906
## 664   -7.10079270  13.79435081  16.02620378 -15.9839894 -11.88406906
## 665    9.85316493   0.33290950   0.48556750  -5.3707453   4.68881792
## 666    9.85316493   0.33290950   0.48556750  -5.3707453   4.68881792
## 667    9.85316493   0.33290950   0.48556750  -5.3707453   4.68881792
## 668    9.85316493   0.33290950   0.48556750  -5.3707453   4.68881792
## 669    9.85316493   0.33290950   0.48556750  -5.3707453   4.68881792
## 670    9.85316493   0.33290950   0.48556750  -5.3707453   4.68881792
## 671    9.85316493   0.33290950   0.48556750  -5.3707453   4.68881792
## 672    9.85316493   0.33290950   0.48556750  -5.3707453   4.68881792
## 673    3.47834945  -2.53438973  -4.47816131   3.5755996   3.75452826
## 674    3.47834945  -2.53438973  -4.47816131   3.5755996   3.75452826
## 675    3.47834945  -2.53438973  -4.47816131   3.5755996   3.75452826
## 676    3.47834945  -2.53438973  -4.47816131   3.5755996   3.75452826
## 677    3.47834945  -2.53438973  -4.47816131   3.5755996   3.75452826
## 678    3.47834945  -2.53438973  -4.47816131   3.5755996   3.75452826
## 679    3.47834945  -2.53438973  -4.47816131   3.5755996   3.75452826
## 680    3.47834945  -2.53438973  -4.47816131   3.5755996   3.75452826
## 681   11.59265426   5.71877655  -1.36942568  17.3650547  -5.09979377
## 682   11.59265426   5.71877655  -1.36942568  17.3650547  -5.09979377
## 683   11.59265426   5.71877655  -1.36942568  17.3650547  -5.09979377
## 684   11.59265426   5.71877655  -1.36942568  17.3650547  -5.09979377
## 685   11.59265426   5.71877655  -1.36942568  17.3650547  -5.09979377
## 686   11.59265426   5.71877655  -1.36942568  17.3650547  -5.09979377
## 687   11.59265426   5.71877655  -1.36942568  17.3650547  -5.09979377
## 688   11.59265426   5.71877655  -1.36942568  17.3650547  -5.09979377
## 689    2.29974595   3.00829297   5.49121090  -2.1290968  -4.47720042
## 690    2.29974595   3.00829297   5.49121090  -2.1290968  -4.47720042
## 691    2.29974595   3.00829297   5.49121090  -2.1290968  -4.47720042
## 692    2.29974595   3.00829297   5.49121090  -2.1290968  -4.47720042
## 693    2.29974595   3.00829297   5.49121090  -2.1290968  -4.47720042
## 694    2.29974595   3.00829297   5.49121090  -2.1290968  -4.47720042
## 695    2.29974595   3.00829297   5.49121090  -2.1290968  -4.47720042
## 696    2.29974595   3.00829297   5.49121090  -2.1290968  -4.47720042
## 697   15.29941313  -2.07310351  -1.60998476 -23.9535871   2.39645807
## 698   15.29941313  -2.07310351  -1.60998476 -23.9535871   2.39645807
## 699   15.29941313  -2.07310351  -1.60998476 -23.9535871   2.39645807
## 700   15.29941313  -2.07310351  -1.60998476 -23.9535871   2.39645807
## 701   15.29941313  -2.07310351  -1.60998476 -23.9535871   2.39645807
## 702   15.29941313  -2.07310351  -1.60998476 -23.9535871   2.39645807
## 703   15.29941313  -2.07310351  -1.60998476 -23.9535871   2.39645807
## 704   15.29941313  -2.07310351  -1.60998476 -23.9535871   2.39645807
## 705    1.69706070  -2.88458865   0.12545461  -0.4657393  -0.56028503
## 706    1.69706070  -2.88458865   0.12545461  -0.4657393  -0.56028503
## 707    1.69706070  -2.88458865   0.12545461  -0.4657393  -0.56028503
## 708    1.69706070  -2.88458865   0.12545461  -0.4657393  -0.56028503
## 709    1.69706070  -2.88458865   0.12545461  -0.4657393  -0.56028503
## 710    1.69706070  -2.88458865   0.12545461  -0.4657393  -0.56028503
## 711    1.69706070  -2.88458865   0.12545461  -0.4657393  -0.56028503
## 712    1.69706070  -2.88458865   0.12545461  -0.4657393  -0.56028503
## 713    2.90061544   6.96269739   1.23875434  -2.4484759   7.08470576
## 714    2.90061544   6.96269739   1.23875434  -2.4484759   7.08470576
## 715    2.90061544   6.96269739   1.23875434  -2.4484759   7.08470576
## 716    2.90061544   6.96269739   1.23875434  -2.4484759   7.08470576
## 717    2.90061544   6.96269739   1.23875434  -2.4484759   7.08470576
## 718    2.90061544   6.96269739   1.23875434  -2.4484759   7.08470576
## 719    2.90061544   6.96269739   1.23875434  -2.4484759   7.08470576
## 720    2.90061544   6.96269739   1.23875434  -2.4484759   7.08470576
## 721  -11.69042630 -12.95702608 -16.69681757  -3.3503523  -5.44546937
## 722  -11.69042630 -12.95702608 -16.69681757  -3.3503523  -5.44546937
## 723  -11.69042630 -12.95702608 -16.69681757  -3.3503523  -5.44546937
## 724  -11.69042630 -12.95702608 -16.69681757  -3.3503523  -5.44546937
## 725  -11.69042630 -12.95702608 -16.69681757  -3.3503523  -5.44546937
## 726  -11.69042630 -12.95702608 -16.69681757  -3.3503523  -5.44546937
## 727  -11.69042630 -12.95702608 -16.69681757  -3.3503523  -5.44546937
## 728  -11.69042630 -12.95702608 -16.69681757  -3.3503523  -5.44546937
## 729   -8.13903628   0.64239652   1.09021779   0.9757445  -2.60440552
## 730   -8.13903628   0.64239652   1.09021779   0.9757445  -2.60440552
## 731   -8.13903628   0.64239652   1.09021779   0.9757445  -2.60440552
## 732   -8.13903628   0.64239652   1.09021779   0.9757445  -2.60440552
## 733   -8.13903628   0.64239652   1.09021779   0.9757445  -2.60440552
## 734   -8.13903628   0.64239652   1.09021779   0.9757445  -2.60440552
## 735   -8.13903628   0.64239652   1.09021779   0.9757445  -2.60440552
## 736   -8.13903628   0.64239652   1.09021779   0.9757445  -2.60440552
## 737   -2.28255288  21.66475946  -2.90893543   6.6646034   1.18102045
## 738   -2.28255288  21.66475946  -2.90893543   6.6646034   1.18102045
## 739   -2.28255288  21.66475946  -2.90893543   6.6646034   1.18102045
## 740   -2.28255288  21.66475946  -2.90893543   6.6646034   1.18102045
## 741   -2.28255288  21.66475946  -2.90893543   6.6646034   1.18102045
## 742   -2.28255288  21.66475946  -2.90893543   6.6646034   1.18102045
## 743   -2.28255288  21.66475946  -2.90893543   6.6646034   1.18102045
## 744   -2.28255288  21.66475946  -2.90893543   6.6646034   1.18102045
## 745    0.99401613   9.61002785   0.86101052   6.9405961  -4.53767573
## 746    0.99401613   9.61002785   0.86101052   6.9405961  -4.53767573
## 747    0.99401613   9.61002785   0.86101052   6.9405961  -4.53767573
## 748    0.99401613   9.61002785   0.86101052   6.9405961  -4.53767573
## 749    0.99401613   9.61002785   0.86101052   6.9405961  -4.53767573
## 750    0.99401613   9.61002785   0.86101052   6.9405961  -4.53767573
## 751    0.99401613   9.61002785   0.86101052   6.9405961  -4.53767573
## 752    0.99401613   9.61002785   0.86101052   6.9405961  -4.53767573
## 753   -4.31109313   5.98765395  -1.77462985   6.7449550  -0.16358555
## 754   -4.31109313   5.98765395  -1.77462985   6.7449550  -0.16358555
## 755   -4.31109313   5.98765395  -1.77462985   6.7449550  -0.16358555
## 756   -4.31109313   5.98765395  -1.77462985   6.7449550  -0.16358555
## 757   -4.31109313   5.98765395  -1.77462985   6.7449550  -0.16358555
## 758   -4.31109313   5.98765395  -1.77462985   6.7449550  -0.16358555
## 759   -4.31109313   5.98765395  -1.77462985   6.7449550  -0.16358555
## 760   -4.31109313   5.98765395  -1.77462985   6.7449550  -0.16358555
## 761    3.88353347  27.16852646  22.13624875   3.6318935 -14.28180987
## 762    3.88353347  27.16852646  22.13624875   3.6318935 -14.28180987
## 763    3.88353347  27.16852646  22.13624875   3.6318935 -14.28180987
## 764    3.88353347  27.16852646  22.13624875   3.6318935 -14.28180987
## 765    3.88353347  27.16852646  22.13624875   3.6318935 -14.28180987
## 766    3.88353347  27.16852646  22.13624875   3.6318935 -14.28180987
## 767    3.88353347  27.16852646  22.13624875   3.6318935 -14.28180987
## 768    3.88353347  27.16852646  22.13624875   3.6318935 -14.28180987
## 769   -3.20020671   2.77388870   4.68858816   1.0707755   8.36080051
## 770   -3.20020671   2.77388870   4.68858816   1.0707755   8.36080051
## 771   -3.20020671   2.77388870   4.68858816   1.0707755   8.36080051
## 772   -3.20020671   2.77388870   4.68858816   1.0707755   8.36080051
## 773   -3.20020671   2.77388870   4.68858816   1.0707755   8.36080051
## 774   -3.20020671   2.77388870   4.68858816   1.0707755   8.36080051
## 775   -3.20020671   2.77388870   4.68858816   1.0707755   8.36080051
## 776   -3.20020671   2.77388870   4.68858816   1.0707755   8.36080051
## 777   10.98706529  -0.15987221  -7.03199341  -7.9609431  -6.72011189
## 778   10.98706529  -0.15987221  -7.03199341  -7.9609431  -6.72011189
## 779   10.98706529  -0.15987221  -7.03199341  -7.9609431  -6.72011189
## 780   10.98706529  -0.15987221  -7.03199341  -7.9609431  -6.72011189
## 781   10.98706529  -0.15987221  -7.03199341  -7.9609431  -6.72011189
## 782   10.98706529  -0.15987221  -7.03199341  -7.9609431  -6.72011189
## 783   10.98706529  -0.15987221  -7.03199341  -7.9609431  -6.72011189
## 784   10.98706529  -0.15987221  -7.03199341  -7.9609431  -6.72011189
## 785   -2.02767656  -2.39112743  -1.41553405   2.8249534   1.64058319
## 786   -2.02767656  -2.39112743  -1.41553405   2.8249534   1.64058319
## 787   -2.02767656  -2.39112743  -1.41553405   2.8249534   1.64058319
## 788   -2.02767656  -2.39112743  -1.41553405   2.8249534   1.64058319
## 789   -2.02767656  -2.39112743  -1.41553405   2.8249534   1.64058319
## 790   -2.02767656  -2.39112743  -1.41553405   2.8249534   1.64058319
## 791   -2.02767656  -2.39112743  -1.41553405   2.8249534   1.64058319
## 792   -2.02767656  -2.39112743  -1.41553405   2.8249534   1.64058319
## 793  -42.26820201   6.08515121  -1.46012599  22.1362733   8.61653231
## 794  -42.26820201   6.08515121  -1.46012599  22.1362733   8.61653231
## 795  -42.26820201   6.08515121  -1.46012599  22.1362733   8.61653231
## 796  -42.26820201   6.08515121  -1.46012599  22.1362733   8.61653231
## 797  -42.26820201   6.08515121  -1.46012599  22.1362733   8.61653231
## 798  -42.26820201   6.08515121  -1.46012599  22.1362733   8.61653231
## 799  -42.26820201   6.08515121  -1.46012599  22.1362733   8.61653231
## 800  -42.26820201   6.08515121  -1.46012599  22.1362733   8.61653231
## 801    7.39332581   2.85493192   0.44277753   1.3401825  -3.18020192
## 802    7.39332581   2.85493192   0.44277753   1.3401825  -3.18020192
## 803    7.39332581   2.85493192   0.44277753   1.3401825  -3.18020192
## 804    7.39332581   2.85493192   0.44277753   1.3401825  -3.18020192
## 805    7.39332581   2.85493192   0.44277753   1.3401825  -3.18020192
## 806    7.39332581   2.85493192   0.44277753   1.3401825  -3.18020192
## 807    7.39332581   2.85493192   0.44277753   1.3401825  -3.18020192
## 808    7.39332581   2.85493192   0.44277753   1.3401825  -3.18020192
## 809    4.61215167  11.11354759 -11.15495552  -1.2520652  -2.76474115
## 810    4.61215167  11.11354759 -11.15495552  -1.2520652  -2.76474115
## 811    4.61215167  11.11354759 -11.15495552  -1.2520652  -2.76474115
## 812    4.61215167  11.11354759 -11.15495552  -1.2520652  -2.76474115
## 813    4.61215167  11.11354759 -11.15495552  -1.2520652  -2.76474115
## 814    4.61215167  11.11354759 -11.15495552  -1.2520652  -2.76474115
## 815    4.61215167  11.11354759 -11.15495552  -1.2520652  -2.76474115
## 816    4.61215167  11.11354759 -11.15495552  -1.2520652  -2.76474115
## 817   -1.13825357  -2.87248086  -0.78582591  -1.9294717   1.33995816
## 818   -1.13825357  -2.87248086  -0.78582591  -1.9294717   1.33995816
## 819   -1.13825357  -2.87248086  -0.78582591  -1.9294717   1.33995816
## 820   -1.13825357  -2.87248086  -0.78582591  -1.9294717   1.33995816
## 821   -1.13825357  -2.87248086  -0.78582591  -1.9294717   1.33995816
## 822   -1.13825357  -2.87248086  -0.78582591  -1.9294717   1.33995816
## 823   -1.13825357  -2.87248086  -0.78582591  -1.9294717   1.33995816
## 824   -1.13825357  -2.87248086  -0.78582591  -1.9294717   1.33995816
## 825    1.45526018  -1.54021487  -3.10498425 -45.3963364   6.30046703
## 826    1.45526018  -1.54021487  -3.10498425 -45.3963364   6.30046703
## 827    1.45526018  -1.54021487  -3.10498425 -45.3963364   6.30046703
## 828    1.45526018  -1.54021487  -3.10498425 -45.3963364   6.30046703
## 829    1.45526018  -1.54021487  -3.10498425 -45.3963364   6.30046703
## 830    1.45526018  -1.54021487  -3.10498425 -45.3963364   6.30046703
## 831    1.45526018  -1.54021487  -3.10498425 -45.3963364   6.30046703
## 832    1.45526018  -1.54021487  -3.10498425 -45.3963364   6.30046703
## 833    2.39311616  -9.13041969   3.72768936  -6.5099214   3.50850987
## 834    2.39311616  -9.13041969   3.72768936  -6.5099214   3.50850987
## 835    2.39311616  -9.13041969   3.72768936  -6.5099214   3.50850987
## 836    2.39311616  -9.13041969   3.72768936  -6.5099214   3.50850987
## 837    2.39311616  -9.13041969   3.72768936  -6.5099214   3.50850987
## 838    2.39311616  -9.13041969   3.72768936  -6.5099214   3.50850987
## 839    2.39311616  -9.13041969   3.72768936  -6.5099214   3.50850987
## 840    2.39311616  -9.13041969   3.72768936  -6.5099214   3.50850987
## 841    3.95396774 -20.17018357  29.79429276  -3.3757996  -6.19445448
## 842    3.95396774 -20.17018357  29.79429276  -3.3757996  -6.19445448
## 843    3.95396774 -20.17018357  29.79429276  -3.3757996  -6.19445448
## 844    3.95396774 -20.17018357  29.79429276  -3.3757996  -6.19445448
## 845    3.95396774 -20.17018357  29.79429276  -3.3757996  -6.19445448
## 846    3.95396774 -20.17018357  29.79429276  -3.3757996  -6.19445448
## 847    3.95396774 -20.17018357  29.79429276  -3.3757996  -6.19445448
## 848    3.95396774 -20.17018357  29.79429276  -3.3757996  -6.19445448
## 849   33.18190418  10.98799664  -6.23070290 -41.0604703   2.36365639
## 850   33.18190418  10.98799664  -6.23070290 -41.0604703   2.36365639
## 851   33.18190418  10.98799664  -6.23070290 -41.0604703   2.36365639
## 852   33.18190418  10.98799664  -6.23070290 -41.0604703   2.36365639
## 853   33.18190418  10.98799664  -6.23070290 -41.0604703   2.36365639
## 854   33.18190418  10.98799664  -6.23070290 -41.0604703   2.36365639
## 855   33.18190418  10.98799664  -6.23070290 -41.0604703   2.36365639
## 856   33.18190418  10.98799664  -6.23070290 -41.0604703   2.36365639
## 857    8.58068864  -4.51655521   2.10353198  41.9871453  -5.95098630
## 858    8.58068864  -4.51655521   2.10353198  41.9871453  -5.95098630
## 859    8.58068864  -4.51655521   2.10353198  41.9871453  -5.95098630
## 860    8.58068864  -4.51655521   2.10353198  41.9871453  -5.95098630
## 861    8.58068864  -4.51655521   2.10353198  41.9871453  -5.95098630
## 862    8.58068864  -4.51655521   2.10353198  41.9871453  -5.95098630
## 863    8.58068864  -4.51655521   2.10353198  41.9871453  -5.95098630
## 864    8.58068864  -4.51655521   2.10353198  41.9871453  -5.95098630
## 865    1.73288719   1.19567530   1.98598012  -0.4040781   3.52193064
## 866    1.73288719   1.19567530   1.98598012  -0.4040781   3.52193064
## 867    1.73288719   1.19567530   1.98598012  -0.4040781   3.52193064
## 868    1.73288719   1.19567530   1.98598012  -0.4040781   3.52193064
## 869    1.73288719   1.19567530   1.98598012  -0.4040781   3.52193064
## 870    1.73288719   1.19567530   1.98598012  -0.4040781   3.52193064
## 871    1.73288719   1.19567530   1.98598012  -0.4040781   3.52193064
## 872    1.73288719   1.19567530   1.98598012  -0.4040781   3.52193064
## 873   -1.16887040  -0.26270672   2.23717100 -11.0906933  -2.49785275
## 874   -1.16887040  -0.26270672   2.23717100 -11.0906933  -2.49785275
## 875   -1.16887040  -0.26270672   2.23717100 -11.0906933  -2.49785275
## 876   -1.16887040  -0.26270672   2.23717100 -11.0906933  -2.49785275
## 877   -1.16887040  -0.26270672   2.23717100 -11.0906933  -2.49785275
## 878   -1.16887040  -0.26270672   2.23717100 -11.0906933  -2.49785275
## 879   -1.16887040  -0.26270672   2.23717100 -11.0906933  -2.49785275
## 880   -1.16887040  -0.26270672   2.23717100 -11.0906933  -2.49785275
## 881    1.54002325   2.33464531   4.60735299   0.5991684  -1.09188129
## 882    1.54002325   2.33464531   4.60735299   0.5991684  -1.09188129
## 883    1.54002325   2.33464531   4.60735299   0.5991684  -1.09188129
## 884    1.54002325   2.33464531   4.60735299   0.5991684  -1.09188129
## 885    1.54002325   2.33464531   4.60735299   0.5991684  -1.09188129
## 886    1.54002325   2.33464531   4.60735299   0.5991684  -1.09188129
## 887    1.54002325   2.33464531   4.60735299   0.5991684  -1.09188129
## 888    1.54002325   2.33464531   4.60735299   0.5991684  -1.09188129
## 889    5.61787612 -11.35173388  -3.45204447   8.4861036   3.22845504
## 890    5.61787612 -11.35173388  -3.45204447   8.4861036   3.22845504
## 891    5.61787612 -11.35173388  -3.45204447   8.4861036   3.22845504
## 892    5.61787612 -11.35173388  -3.45204447   8.4861036   3.22845504
## 893    5.61787612 -11.35173388  -3.45204447   8.4861036   3.22845504
## 894    5.61787612 -11.35173388  -3.45204447   8.4861036   3.22845504
## 895    5.61787612 -11.35173388  -3.45204447   8.4861036   3.22845504
## 896    5.61787612 -11.35173388  -3.45204447   8.4861036   3.22845504
## 897   -5.83351498  -2.91765007   1.09776740   4.5683311  -3.14003008
## 898   -5.83351498  -2.91765007   1.09776740   4.5683311  -3.14003008
## 899   -5.83351498  -2.91765007   1.09776740   4.5683311  -3.14003008
## 900   -5.83351498  -2.91765007   1.09776740   4.5683311  -3.14003008
## 901   -5.83351498  -2.91765007   1.09776740   4.5683311  -3.14003008
## 902   -5.83351498  -2.91765007   1.09776740   4.5683311  -3.14003008
## 903   -5.83351498  -2.91765007   1.09776740   4.5683311  -3.14003008
## 904   -5.83351498  -2.91765007   1.09776740   4.5683311  -3.14003008
## 905   -3.09778611  21.10344629 -16.25076571  -2.0856750  -2.18843824
## 906   -3.09778611  21.10344629 -16.25076571  -2.0856750  -2.18843824
## 907   -3.09778611  21.10344629 -16.25076571  -2.0856750  -2.18843824
## 908   -3.09778611  21.10344629 -16.25076571  -2.0856750  -2.18843824
## 909   -3.09778611  21.10344629 -16.25076571  -2.0856750  -2.18843824
## 910   -3.09778611  21.10344629 -16.25076571  -2.0856750  -2.18843824
## 911   -3.09778611  21.10344629 -16.25076571  -2.0856750  -2.18843824
## 912   -3.09778611  21.10344629 -16.25076571  -2.0856750  -2.18843824
## 913    2.31142985  -1.92503589   0.77593936  -0.5789853   1.37880360
## 914    2.31142985  -1.92503589   0.77593936  -0.5789853   1.37880360
## 915    2.31142985  -1.92503589   0.77593936  -0.5789853   1.37880360
## 916    2.31142985  -1.92503589   0.77593936  -0.5789853   1.37880360
## 917    2.31142985  -1.92503589   0.77593936  -0.5789853   1.37880360
## 918    6.79883997  -6.16739774   0.07407594  -2.8785800   1.40638525
## 919    6.79883997  -6.16739774   0.07407594  -2.8785800   1.40638525
## 920    6.79883997  -6.16739774   0.07407594  -2.8785800   1.40638525
## 921    6.79883997  -6.16739774   0.07407594  -2.8785800   1.40638525
## 922    6.79883997  -6.16739774   0.07407594  -2.8785800   1.40638525
## 923            NA           NA           NA          NA           NA
## 924            NA           NA           NA          NA           NA
## 925            NA           NA           NA          NA           NA
## 926            NA           NA           NA          NA           NA
## 927            NA           NA           NA          NA           NA
## 928            NA           NA           NA          NA           NA
## 929            NA           NA           NA          NA           NA
## 930            NA           NA           NA          NA           NA
## 931            NA           NA           NA          NA           NA
## 932            NA           NA           NA          NA           NA
## 933            NA           NA           NA          NA           NA
## 934            NA           NA           NA          NA           NA
## 935            NA           NA           NA          NA           NA
## 936            NA           NA           NA          NA           NA
## 937            NA           NA           NA          NA           NA
## 938   13.68414931   1.00895697   0.91665835   6.8452417   3.37462917
## 939   13.68414931   1.00895697   0.91665835   6.8452417   3.37462917
## 940   13.68414931   1.00895697   0.91665835   6.8452417   3.37462917
## 941   13.68414931   1.00895697   0.91665835   6.8452417   3.37462917
## 942   13.68414931   1.00895697   0.91665835   6.8452417   3.37462917
## 943            NA           NA           NA          NA           NA
## 944            NA           NA           NA          NA           NA
## 945            NA           NA           NA          NA           NA
## 946            NA           NA           NA          NA           NA
## 947            NA           NA           NA          NA           NA
## 948            NA           NA           NA          NA           NA
## 949            NA           NA           NA          NA           NA
## 950            NA           NA           NA          NA           NA
## 951            NA           NA           NA          NA           NA
## 952            NA           NA           NA          NA           NA
## 953    9.08974328  12.35603719  -5.59808065  15.6502359 -38.97689595
## 954    9.08974328  12.35603719  -5.59808065  15.6502359 -38.97689595
## 955    9.08974328  12.35603719  -5.59808065  15.6502359 -38.97689595
## 956    9.08974328  12.35603719  -5.59808065  15.6502359 -38.97689595
## 957    9.08974328  12.35603719  -5.59808065  15.6502359 -38.97689595
## 958    0.37882069   0.23277122  -1.86815831   3.8939352   2.73359499
## 959    0.37882069   0.23277122  -1.86815831   3.8939352   2.73359499
## 960    0.37882069   0.23277122  -1.86815831   3.8939352   2.73359499
## 961    0.37882069   0.23277122  -1.86815831   3.8939352   2.73359499
## 962    0.37882069   0.23277122  -1.86815831   3.8939352   2.73359499
## 963            NA           NA           NA          NA           NA
## 964            NA           NA           NA          NA           NA
## 965            NA           NA           NA          NA           NA
## 966            NA           NA           NA          NA           NA
## 967            NA           NA           NA          NA           NA
## 968            NA           NA           NA          NA           NA
## 969            NA           NA           NA          NA           NA
## 970            NA           NA           NA          NA           NA
## 971            NA           NA           NA          NA           NA
## 972            NA           NA           NA          NA           NA
## 973  -38.85126456   0.18801720  -2.13181450  56.9841976   8.88242633
## 974  -38.85126456   0.18801720  -2.13181450  56.9841976   8.88242633
## 975  -38.85126456   0.18801720  -2.13181450  56.9841976   8.88242633
## 976  -38.85126456   0.18801720  -2.13181450  56.9841976   8.88242633
## 977  -38.85126456   0.18801720  -2.13181450  56.9841976   8.88242633
## 978    7.41375402   3.98274563 -31.81202891  -2.0805547 -19.31710317
## 979    7.41375402   3.98274563 -31.81202891  -2.0805547 -19.31710317
## 980    7.41375402   3.98274563 -31.81202891  -2.0805547 -19.31710317
## 981    7.41375402   3.98274563 -31.81202891  -2.0805547 -19.31710317
## 982    7.41375402   3.98274563 -31.81202891  -2.0805547 -19.31710317
## 983            NA           NA           NA          NA           NA
## 984            NA           NA           NA          NA           NA
## 985            NA           NA           NA          NA           NA
## 986            NA           NA           NA          NA           NA
## 987            NA           NA           NA          NA           NA
## 988            NA           NA           NA          NA           NA
## 989            NA           NA           NA          NA           NA
## 990            NA           NA           NA          NA           NA
## 991            NA           NA           NA          NA           NA
## 992            NA           NA           NA          NA           NA
## 993   -3.65357294   2.25987728   0.88862244 -13.2186338  -2.50523069
## 994   -3.65357294   2.25987728   0.88862244 -13.2186338  -2.50523069
## 995   -3.65357294   2.25987728   0.88862244 -13.2186338  -2.50523069
## 996   -3.65357294   2.25987728   0.88862244 -13.2186338  -2.50523069
## 997   -3.65357294   2.25987728   0.88862244 -13.2186338  -2.50523069
## 998            NA           NA           NA          NA           NA
## 999            NA           NA           NA          NA           NA
## 1000           NA           NA           NA          NA           NA
## 1001           NA           NA           NA          NA           NA
## 1002           NA           NA           NA          NA           NA
## 1003           NA           NA           NA          NA           NA
## 1004           NA           NA           NA          NA           NA
## 1005           NA           NA           NA          NA           NA
## 1006           NA           NA           NA          NA           NA
## 1007           NA           NA           NA          NA           NA
## 1008  21.75241887  22.78086614  31.70402318  19.6881209  29.32293192
## 1009  21.75241887  22.78086614  31.70402318  19.6881209  29.32293192
## 1010  21.75241887  22.78086614  31.70402318  19.6881209  29.32293192
## 1011  21.75241887  22.78086614  31.70402318  19.6881209  29.32293192
## 1012  21.75241887  22.78086614  31.70402318  19.6881209  29.32293192
## 1013 -11.26979823   4.46754927   0.08795355 -23.3987623   0.98145356
## 1014 -11.26979823   4.46754927   0.08795355 -23.3987623   0.98145356
## 1015 -11.26979823   4.46754927   0.08795355 -23.3987623   0.98145356
## 1016 -11.26979823   4.46754927   0.08795355 -23.3987623   0.98145356
## 1017 -11.26979823   4.46754927   0.08795355 -23.3987623   0.98145356
## 1018 -21.87167601  -1.36540939  -9.69110569  -6.0893022 -21.72393732
## 1019 -21.87167601  -1.36540939  -9.69110569  -6.0893022 -21.72393732
## 1020 -21.87167601  -1.36540939  -9.69110569  -6.0893022 -21.72393732
## 1021 -21.87167601  -1.36540939  -9.69110569  -6.0893022 -21.72393732
## 1022 -21.87167601  -1.36540939  -9.69110569  -6.0893022 -21.72393732
## 1023           NA           NA           NA          NA           NA
## 1024           NA           NA           NA          NA           NA
## 1025           NA           NA           NA          NA           NA
## 1026           NA           NA           NA          NA           NA
## 1027           NA           NA           NA          NA           NA
## 1028           NA           NA           NA          NA           NA
## 1029           NA           NA           NA          NA           NA
## 1030           NA           NA           NA          NA           NA
## 1031           NA           NA           NA          NA           NA
## 1032           NA           NA           NA          NA           NA
## 1033   6.22088451   2.74783379  -1.13412857   5.1397878  -2.99081890
## 1034   6.22088451   2.74783379  -1.13412857   5.1397878  -2.99081890
## 1035   6.22088451   2.74783379  -1.13412857   5.1397878  -2.99081890
## 1036   6.22088451   2.74783379  -1.13412857   5.1397878  -2.99081890
## 1037   6.22088451   2.74783379  -1.13412857   5.1397878  -2.99081890
## 1038           NA           NA           NA          NA           NA
## 1039           NA           NA           NA          NA           NA
## 1040           NA           NA           NA          NA           NA
## 1041           NA           NA           NA          NA           NA
## 1042           NA           NA           NA          NA           NA
## 1043           NA           NA           NA          NA           NA
## 1044           NA           NA           NA          NA           NA
## 1045           NA           NA           NA          NA           NA
## 1046           NA           NA           NA          NA           NA
## 1047           NA           NA           NA          NA           NA
## 1048           NA           NA           NA          NA           NA
## 1049           NA           NA           NA          NA           NA
## 1050           NA           NA           NA          NA           NA
## 1051           NA           NA           NA          NA           NA
## 1052           NA           NA           NA          NA           NA
## 1053           NA           NA           NA          NA           NA
## 1054           NA           NA           NA          NA           NA
## 1055           NA           NA           NA          NA           NA
## 1056           NA           NA           NA          NA           NA
## 1057           NA           NA           NA          NA           NA
## 1058           NA           NA           NA          NA           NA
## 1059           NA           NA           NA          NA           NA
## 1060           NA           NA           NA          NA           NA
## 1061           NA           NA           NA          NA           NA
## 1062           NA           NA           NA          NA           NA
## 1063           NA           NA           NA          NA           NA
## 1064           NA           NA           NA          NA           NA
## 1065           NA           NA           NA          NA           NA
## 1066           NA           NA           NA          NA           NA
## 1067           NA           NA           NA          NA           NA
## 1068 -62.88892285   2.27913892  -1.58633608  32.4333006  -1.84134922
## 1069 -62.88892285   2.27913892  -1.58633608  32.4333006  -1.84134922
## 1070 -62.88892285   2.27913892  -1.58633608  32.4333006  -1.84134922
## 1071 -62.88892285   2.27913892  -1.58633608  32.4333006  -1.84134922
## 1072 -62.88892285   2.27913892  -1.58633608  32.4333006  -1.84134922
## 1073  72.03392503   9.41347371 -14.43904249  12.5251011  12.66726461
## 1074  72.03392503   9.41347371 -14.43904249  12.5251011  12.66726461
## 1075  72.03392503   9.41347371 -14.43904249  12.5251011  12.66726461
## 1076  72.03392503   9.41347371 -14.43904249  12.5251011  12.66726461
## 1077  72.03392503   9.41347371 -14.43904249  12.5251011  12.66726461
## 1078           NA           NA           NA          NA           NA
## 1079           NA           NA           NA          NA           NA
## 1080           NA           NA           NA          NA           NA
## 1081           NA           NA           NA          NA           NA
## 1082           NA           NA           NA          NA           NA
## 1083  25.90633166 -27.90818779  27.30049368  13.1847054 -36.20874989
## 1084  25.90633166 -27.90818779  27.30049368  13.1847054 -36.20874989
## 1085  25.90633166 -27.90818779  27.30049368  13.1847054 -36.20874989
## 1086  25.90633166 -27.90818779  27.30049368  13.1847054 -36.20874989
## 1087  25.90633166 -27.90818779  27.30049368  13.1847054 -36.20874989
## 1088           NA           NA           NA          NA           NA
## 1089           NA           NA           NA          NA           NA
## 1090           NA           NA           NA          NA           NA
## 1091           NA           NA           NA          NA           NA
## 1092           NA           NA           NA          NA           NA
## 1093  -6.68481376  20.89959797   3.54977817   7.3935337   0.50174384
## 1094  -6.68481376  20.89959797   3.54977817   7.3935337   0.50174384
## 1095  -6.68481376  20.89959797   3.54977817   7.3935337   0.50174384
## 1096  -6.68481376  20.89959797   3.54977817   7.3935337   0.50174384
## 1097  -6.68481376  20.89959797   3.54977817   7.3935337   0.50174384
## 1098           NA           NA           NA          NA           NA
## 1099           NA           NA           NA          NA           NA
## 1100           NA           NA           NA          NA           NA
## 1101           NA           NA           NA          NA           NA
## 1102           NA           NA           NA          NA           NA
## 1103   3.48739611  -6.52012439   0.79680154   2.8876731  -4.23229669
## 1104   3.48739611  -6.52012439   0.79680154   2.8876731  -4.23229669
## 1105   3.48739611  -6.52012439   0.79680154   2.8876731  -4.23229669
## 1106   3.48739611  -6.52012439   0.79680154   2.8876731  -4.23229669
## 1107   3.48739611  -6.52012439   0.79680154   2.8876731  -4.23229669
## 1108           NA           NA           NA          NA           NA
## 1109           NA           NA           NA          NA           NA
## 1110           NA           NA           NA          NA           NA
## 1111           NA           NA           NA          NA           NA
## 1112           NA           NA           NA          NA           NA
## 1113  18.15988474 -29.12757553   2.03935506   8.8952564 -38.83000001
## 1114  18.15988474 -29.12757553   2.03935506   8.8952564 -38.83000001
## 1115  18.15988474 -29.12757553   2.03935506   8.8952564 -38.83000001
## 1116  18.15988474 -29.12757553   2.03935506   8.8952564 -38.83000001
## 1117  18.15988474 -29.12757553   2.03935506   8.8952564 -38.83000001
## 1118   2.17217119   1.47636613  -5.79191655 -34.8298645  45.55167074
## 1119   2.17217119   1.47636613  -5.79191655 -34.8298645  45.55167074
## 1120   2.17217119   1.47636613  -5.79191655 -34.8298645  45.55167074
## 1121   2.17217119   1.47636613  -5.79191655 -34.8298645  45.55167074
## 1122   2.17217119   1.47636613  -5.79191655 -34.8298645  45.55167074
## 1123  16.11311698  43.48893266  -9.84453420   8.4149898  33.12228941
## 1124  16.11311698  43.48893266  -9.84453420   8.4149898  33.12228941
## 1125  16.11311698  43.48893266  -9.84453420   8.4149898  33.12228941
## 1126  16.11311698  43.48893266  -9.84453420   8.4149898  33.12228941
## 1127  16.11311698  43.48893266  -9.84453420   8.4149898  33.12228941
## 1128           NA           NA           NA          NA           NA
## 1129           NA           NA           NA          NA           NA
## 1130           NA           NA           NA          NA           NA
## 1131           NA           NA           NA          NA           NA
## 1132           NA           NA           NA          NA           NA
## 1133  -8.77634151   8.33375843 -24.16834593 -17.1683617  15.67858618
## 1134  -8.77634151   8.33375843 -24.16834593 -17.1683617  15.67858618
## 1135  -8.77634151   8.33375843 -24.16834593 -17.1683617  15.67858618
## 1136  -8.77634151   8.33375843 -24.16834593 -17.1683617  15.67858618
## 1137  -8.77634151   8.33375843 -24.16834593 -17.1683617  15.67858618
## 1138           NA           NA           NA          NA           NA
## 1139           NA           NA           NA          NA           NA
## 1140           NA           NA           NA          NA           NA
## 1141           NA           NA           NA          NA           NA
## 1142           NA           NA           NA          NA           NA
## 1143  30.85610311  -2.69071954 -12.62215052 -20.6987657  -0.07073885
## 1144  30.85610311  -2.69071954 -12.62215052 -20.6987657  -0.07073885
## 1145  30.85610311  -2.69071954 -12.62215052 -20.6987657  -0.07073885
## 1146  30.85610311  -2.69071954 -12.62215052 -20.6987657  -0.07073885
## 1147  30.85610311  -2.69071954 -12.62215052 -20.6987657  -0.07073885
## 1148           NA           NA           NA          NA           NA
## 1149           NA           NA           NA          NA           NA
## 1150           NA           NA           NA          NA           NA
## 1151           NA           NA           NA          NA           NA
## 1152           NA           NA           NA          NA           NA
## 1153   8.10317823 -20.32870180 -10.76424101  15.6817850  35.92056067
## 1154   8.10317823 -20.32870180 -10.76424101  15.6817850  35.92056067
## 1155   8.10317823 -20.32870180 -10.76424101  15.6817850  35.92056067
## 1156   8.10317823 -20.32870180 -10.76424101  15.6817850  35.92056067
## 1157   8.10317823 -20.32870180 -10.76424101  15.6817850  35.92056067
## 1158   3.85974344 -37.58095472  -8.55969068  -1.5713603  27.33350612
## 1159   3.85974344 -37.58095472  -8.55969068  -1.5713603  27.33350612
## 1160   3.85974344 -37.58095472  -8.55969068  -1.5713603  27.33350612
## 1161   3.85974344 -37.58095472  -8.55969068  -1.5713603  27.33350612
## 1162   3.85974344 -37.58095472  -8.55969068  -1.5713603  27.33350612
## 1163           NA           NA           NA          NA           NA
## 1164           NA           NA           NA          NA           NA
## 1165           NA           NA           NA          NA           NA
## 1166           NA           NA           NA          NA           NA
## 1167           NA           NA           NA          NA           NA
## 1168           NA           NA           NA          NA           NA
## 1169           NA           NA           NA          NA           NA
## 1170           NA           NA           NA          NA           NA
## 1171           NA           NA           NA          NA           NA
## 1172           NA           NA           NA          NA           NA
## 1173           NA           NA           NA          NA           NA
## 1174           NA           NA           NA          NA           NA
## 1175           NA           NA           NA          NA           NA
## 1176           NA           NA           NA          NA           NA
## 1177           NA           NA           NA          NA           NA
## 1178           NA           NA           NA          NA           NA
## 1179           NA           NA           NA          NA           NA
## 1180           NA           NA           NA          NA           NA
## 1181           NA           NA           NA          NA           NA
## 1182           NA           NA           NA          NA           NA
## 1183           NA           NA           NA          NA           NA
## 1184           NA           NA           NA          NA           NA
## 1185           NA           NA           NA          NA           NA
## 1186           NA           NA           NA          NA           NA
## 1187           NA           NA           NA          NA           NA
## 1188  12.58103081  -6.92116776  69.15138416 -11.9091345 -23.40430569
## 1189  12.58103081  -6.92116776  69.15138416 -11.9091345 -23.40430569
## 1190  12.58103081  -6.92116776  69.15138416 -11.9091345 -23.40430569
## 1191  12.58103081  -6.92116776  69.15138416 -11.9091345 -23.40430569
## 1192  12.58103081  -6.92116776  69.15138416 -11.9091345 -23.40430569
## 1193 -38.32232832  -2.49463981  13.06399873 -30.9613450   1.15254988
## 1194 -38.32232832  -2.49463981  13.06399873 -30.9613450   1.15254988
## 1195 -38.32232832  -2.49463981  13.06399873 -30.9613450   1.15254988
## 1196 -38.32232832  -2.49463981  13.06399873 -30.9613450   1.15254988
## 1197 -38.32232832  -2.49463981  13.06399873 -30.9613450   1.15254988
## 1198  -1.97598963 -19.20198722 -13.45267477  22.4224489  10.57066215
## 1199  -1.97598963 -19.20198722 -13.45267477  22.4224489  10.57066215
## 1200  -1.97598963 -19.20198722 -13.45267477  22.4224489  10.57066215
## 1201  -1.97598963 -19.20198722 -13.45267477  22.4224489  10.57066215
## 1202  -1.97598963 -19.20198722 -13.45267477  22.4224489  10.57066215
## 1203  16.57396445  13.50491527 -19.04736106 -16.3492131  12.27376776
## 1204  16.57396445  13.50491527 -19.04736106 -16.3492131  12.27376776
## 1205  16.57396445  13.50491527 -19.04736106 -16.3492131  12.27376776
## 1206  16.57396445  13.50491527 -19.04736106 -16.3492131  12.27376776
## 1207  16.57396445  13.50491527 -19.04736106 -16.3492131  12.27376776
## 1208           NA           NA           NA          NA           NA
## 1209           NA           NA           NA          NA           NA
## 1210           NA           NA           NA          NA           NA
## 1211           NA           NA           NA          NA           NA
## 1212           NA           NA           NA          NA           NA
## 1213   6.94779298  -9.53607851   0.97561325 -22.6613985 -31.70721883
## 1214   6.94779298  -9.53607851   0.97561325 -22.6613985 -31.70721883
## 1215   6.94779298  -9.53607851   0.97561325 -22.6613985 -31.70721883
## 1216   6.94779298  -9.53607851   0.97561325 -22.6613985 -31.70721883
## 1217   6.94779298  -9.53607851   0.97561325 -22.6613985 -31.70721883
## 1218   5.49970227  36.34490963  19.78721361   4.2084627   6.19572920
## 1219   5.49970227  36.34490963  19.78721361   4.2084627   6.19572920
## 1220   5.49970227  36.34490963  19.78721361   4.2084627   6.19572920
## 1221   5.49970227  36.34490963  19.78721361   4.2084627   6.19572920
## 1222   5.49970227  36.34490963  19.78721361   4.2084627   6.19572920
## 1223           NA           NA           NA          NA           NA
## 1224           NA           NA           NA          NA           NA
## 1225           NA           NA           NA          NA           NA
## 1226           NA           NA           NA          NA           NA
## 1227           NA           NA           NA          NA           NA
## 1228           NA           NA           NA          NA           NA
## 1229           NA           NA           NA          NA           NA
## 1230           NA           NA           NA          NA           NA
## 1231           NA           NA           NA          NA           NA
## 1232           NA           NA           NA          NA           NA
## 1233           NA           NA           NA          NA           NA
## 1234           NA           NA           NA          NA           NA
## 1235           NA           NA           NA          NA           NA
## 1236           NA           NA           NA          NA           NA
## 1237           NA           NA           NA          NA           NA
## 1238   2.12273808  17.41312798  -5.84005087 -24.6384494   5.89978560
## 1239   2.12273808  17.41312798  -5.84005087 -24.6384494   5.89978560
## 1240   2.12273808  17.41312798  -5.84005087 -24.6384494   5.89978560
## 1241   2.12273808  17.41312798  -5.84005087 -24.6384494   5.89978560
## 1242   2.12273808  17.41312798  -5.84005087 -24.6384494   5.89978560
## 1243 -10.21658570   8.74366992  -4.74305352   2.2321977   7.52040979
## 1244 -10.21658570   8.74366992  -4.74305352   2.2321977   7.52040979
## 1245 -10.21658570   8.74366992  -4.74305352   2.2321977   7.52040979
## 1246 -10.21658570   8.74366992  -4.74305352   2.2321977   7.52040979
## 1247 -10.21658570   8.74366992  -4.74305352   2.2321977   7.52040979
## 1248           NA           NA           NA          NA           NA
## 1249           NA           NA           NA          NA           NA
## 1250           NA           NA           NA          NA           NA
## 1251           NA           NA           NA          NA           NA
## 1252           NA           NA           NA          NA           NA
## 1253           NA           NA           NA          NA           NA
## 1254           NA           NA           NA          NA           NA
## 1255           NA           NA           NA          NA           NA
## 1256           NA           NA           NA          NA           NA
## 1257           NA           NA           NA          NA           NA
## 1258           NA           NA           NA          NA           NA
## 1259           NA           NA           NA          NA           NA
## 1260           NA           NA           NA          NA           NA
## 1261           NA           NA           NA          NA           NA
## 1262           NA           NA           NA          NA           NA
## 1263   0.49852355 -47.07408655   5.74326605  -7.3336100 -16.40581604
## 1264   0.49852355 -47.07408655   5.74326605  -7.3336100 -16.40581604
## 1265   0.49852355 -47.07408655   5.74326605  -7.3336100 -16.40581604
## 1266   0.49852355 -47.07408655   5.74326605  -7.3336100 -16.40581604
## 1267   0.49852355 -47.07408655   5.74326605  -7.3336100 -16.40581604
## 1268   2.60477100  -4.47496930  -1.37487006   3.9165176   0.01056726
## 1269   2.60477100  -4.47496930  -1.37487006   3.9165176   0.01056726
## 1270   2.60477100  -4.47496930  -1.37487006   3.9165176   0.01056726
## 1271   2.60477100  -4.47496930  -1.37487006   3.9165176   0.01056726
## 1272   2.60477100  -4.47496930  -1.37487006   3.9165176   0.01056726
## 1273   0.48333363  -1.56555013 -13.47088684   0.9788912   2.57778782
## 1274   0.48333363  -1.56555013 -13.47088684   0.9788912   2.57778782
## 1275   0.48333363  -1.56555013 -13.47088684   0.9788912   2.57778782
## 1276   0.48333363  -1.56555013 -13.47088684   0.9788912   2.57778782
## 1277   0.48333363  -1.56555013 -13.47088684   0.9788912   2.57778782
## 1278   7.57001693  -7.70716279  -2.13590267   1.8015507   4.48504062
## 1279   7.57001693  -7.70716279  -2.13590267   1.8015507   4.48504062
## 1280   7.57001693  -7.70716279  -2.13590267   1.8015507   4.48504062
## 1281   7.57001693  -7.70716279  -2.13590267   1.8015507   4.48504062
## 1282   7.57001693  -7.70716279  -2.13590267   1.8015507   4.48504062
## 1283   5.72280255  -1.38235045   6.49423831  38.7820990   0.77005145
## 1284   5.72280255  -1.38235045   6.49423831  38.7820990   0.77005145
## 1285   5.72280255  -1.38235045   6.49423831  38.7820990   0.77005145
## 1286   5.72280255  -1.38235045   6.49423831  38.7820990   0.77005145
## 1287   5.72280255  -1.38235045   6.49423831  38.7820990   0.77005145
## 1288           NA           NA           NA          NA           NA
## 1289           NA           NA           NA          NA           NA
## 1290           NA           NA           NA          NA           NA
## 1291           NA           NA           NA          NA           NA
## 1292           NA           NA           NA          NA           NA
## 1293           NA           NA           NA          NA           NA
## 1294           NA           NA           NA          NA           NA
## 1295           NA           NA           NA          NA           NA
## 1296           NA           NA           NA          NA           NA
## 1297           NA           NA           NA          NA           NA
## 1298  -0.82227445   3.93585638  -0.11782664   1.3566092  -4.02672450
## 1299  -0.82227445   3.93585638  -0.11782664   1.3566092  -4.02672450
## 1300  -0.82227445   3.93585638  -0.11782664   1.3566092  -4.02672450
## 1301  -0.82227445   3.93585638  -0.11782664   1.3566092  -4.02672450
## 1302  -0.82227445   3.93585638  -0.11782664   1.3566092  -4.02672450
## 1303           NA           NA           NA          NA           NA
## 1304           NA           NA           NA          NA           NA
## 1305           NA           NA           NA          NA           NA
## 1306           NA           NA           NA          NA           NA
## 1307           NA           NA           NA          NA           NA
## 1308           NA           NA           NA          NA           NA
## 1309           NA           NA           NA          NA           NA
## 1310           NA           NA           NA          NA           NA
## 1311           NA           NA           NA          NA           NA
## 1312           NA           NA           NA          NA           NA
## 1313   1.65137999   3.92534977   5.06607585   7.9112698   1.01563240
## 1314   1.65137999   3.92534977   5.06607585   7.9112698   1.01563240
## 1315   1.65137999   3.92534977   5.06607585   7.9112698   1.01563240
## 1316   1.65137999   3.92534977   5.06607585   7.9112698   1.01563240
## 1317   1.65137999   3.92534977   5.06607585   7.9112698   1.01563240
## 1318           NA           NA           NA          NA           NA
## 1319           NA           NA           NA          NA           NA
## 1320           NA           NA           NA          NA           NA
## 1321           NA           NA           NA          NA           NA
## 1322           NA           NA           NA          NA           NA
## 1323           NA           NA           NA          NA           NA
## 1324           NA           NA           NA          NA           NA
## 1325           NA           NA           NA          NA           NA
## 1326           NA           NA           NA          NA           NA
## 1327           NA           NA           NA          NA           NA
## 1328           NA           NA           NA          NA           NA
## 1329           NA           NA           NA          NA           NA
## 1330           NA           NA           NA          NA           NA
## 1331           NA           NA           NA          NA           NA
## 1332           NA           NA           NA          NA           NA
## 1333           NA           NA           NA          NA           NA
## 1334           NA           NA           NA          NA           NA
## 1335           NA           NA           NA          NA           NA
## 1336           NA           NA           NA          NA           NA
## 1337           NA           NA           NA          NA           NA
## 1338           NA           NA           NA          NA           NA
## 1339           NA           NA           NA          NA           NA
## 1340           NA           NA           NA          NA           NA
## 1341           NA           NA           NA          NA           NA
## 1342           NA           NA           NA          NA           NA
## 1343           NA           NA           NA          NA           NA
## 1344           NA           NA           NA          NA           NA
## 1345           NA           NA           NA          NA           NA
## 1346           NA           NA           NA          NA           NA
## 1347           NA           NA           NA          NA           NA
## 1348           NA           NA           NA          NA           NA
## 1349           NA           NA           NA          NA           NA
## 1350           NA           NA           NA          NA           NA
## 1351           NA           NA           NA          NA           NA
## 1352           NA           NA           NA          NA           NA
## 1353           NA           NA           NA          NA           NA
## 1354           NA           NA           NA          NA           NA
## 1355           NA           NA           NA          NA           NA
## 1356           NA           NA           NA          NA           NA
## 1357           NA           NA           NA          NA           NA
## 1358           NA           NA           NA          NA           NA
## 1359           NA           NA           NA          NA           NA
## 1360           NA           NA           NA          NA           NA
## 1361           NA           NA           NA          NA           NA
## 1362           NA           NA           NA          NA           NA
## 1363   2.91080130   5.61636272   0.36207674  -1.3290071  -0.72973293
## 1364   2.91080130   5.61636272   0.36207674  -1.3290071  -0.72973293
## 1365   2.91080130   5.61636272   0.36207674  -1.3290071  -0.72973293
## 1366   2.91080130   5.61636272   0.36207674  -1.3290071  -0.72973293
## 1367   2.91080130   5.61636272   0.36207674  -1.3290071  -0.72973293
## 1368           NA           NA           NA          NA           NA
## 1369           NA           NA           NA          NA           NA
## 1370           NA           NA           NA          NA           NA
## 1371           NA           NA           NA          NA           NA
## 1372           NA           NA           NA          NA           NA
## 1373           NA           NA           NA          NA           NA
## 1374           NA           NA           NA          NA           NA
## 1375           NA           NA           NA          NA           NA
## 1376           NA           NA           NA          NA           NA
## 1377           NA           NA           NA          NA           NA
## 1378   1.67157521   2.96838430   3.01844267  -3.0041014  -0.86491417
## 1379   1.67157521   2.96838430   3.01844267  -3.0041014  -0.86491417
## 1380   1.67157521   2.96838430   3.01844267  -3.0041014  -0.86491417
## 1381   1.67157521   2.96838430   3.01844267  -3.0041014  -0.86491417
## 1382   1.67157521   2.96838430   3.01844267  -3.0041014  -0.86491417
## 1383           NA           NA           NA          NA           NA
## 1384           NA           NA           NA          NA           NA
## 1385           NA           NA           NA          NA           NA
## 1386           NA           NA           NA          NA           NA
## 1387           NA           NA           NA          NA           NA
## 1388   4.50105396  -1.04634876  15.35306049   6.3047784   3.70852091
## 1389   4.50105396  -1.04634876  15.35306049   6.3047784   3.70852091
## 1390   4.50105396  -1.04634876  15.35306049   6.3047784   3.70852091
## 1391   4.50105396  -1.04634876  15.35306049   6.3047784   3.70852091
## 1392   4.50105396  -1.04634876  15.35306049   6.3047784   3.70852091
## 1393           NA           NA           NA          NA           NA
## 1394           NA           NA           NA          NA           NA
## 1395           NA           NA           NA          NA           NA
## 1396           NA           NA           NA          NA           NA
## 1397           NA           NA           NA          NA           NA
## 1398           NA           NA           NA          NA           NA
## 1399           NA           NA           NA          NA           NA
## 1400           NA           NA           NA          NA           NA
## 1401           NA           NA           NA          NA           NA
## 1402           NA           NA           NA          NA           NA
## 1403           NA           NA           NA          NA           NA
## 1404           NA           NA           NA          NA           NA
## 1405           NA           NA           NA          NA           NA
## 1406           NA           NA           NA          NA           NA
## 1407           NA           NA           NA          NA           NA
## 1408           NA           NA           NA          NA           NA
## 1409           NA           NA           NA          NA           NA
## 1410           NA           NA           NA          NA           NA
## 1411           NA           NA           NA          NA           NA
## 1412           NA           NA           NA          NA           NA
## 1413   0.96381626  -8.84235603  23.81398808 -27.7126232  -4.80326547
## 1414   0.96381626  -8.84235603  23.81398808 -27.7126232  -4.80326547
## 1415   0.96381626  -8.84235603  23.81398808 -27.7126232  -4.80326547
## 1416   0.96381626  -8.84235603  23.81398808 -27.7126232  -4.80326547
## 1417   0.96381626  -8.84235603  23.81398808 -27.7126232  -4.80326547
## 1418  -1.49826725   0.73368139  -0.43737626  -2.4968506   1.92916445
## 1419  -1.49826725   0.73368139  -0.43737626  -2.4968506   1.92916445
## 1420  -1.49826725   0.73368139  -0.43737626  -2.4968506   1.92916445
## 1421  -1.49826725   0.73368139  -0.43737626  -2.4968506   1.92916445
## 1422  -1.49826725   0.73368139  -0.43737626  -2.4968506   1.92916445
## 1423           NA           NA           NA          NA           NA
## 1424           NA           NA           NA          NA           NA
## 1425           NA           NA           NA          NA           NA
## 1426           NA           NA           NA          NA           NA
## 1427           NA           NA           NA          NA           NA
## 1428   1.98723488  -2.32920937   6.20682452 -13.3244318   2.00957566
## 1429   1.98723488  -2.32920937   6.20682452 -13.3244318   2.00957566
## 1430   1.98723488  -2.32920937   6.20682452 -13.3244318   2.00957566
## 1431   1.98723488  -2.32920937   6.20682452 -13.3244318   2.00957566
## 1432   1.98723488  -2.32920937   6.20682452 -13.3244318   2.00957566
## 1433 -16.43254714 -41.29005386 -20.63430041 -10.6673468  11.68144815
## 1434 -16.43254714 -41.29005386 -20.63430041 -10.6673468  11.68144815
## 1435 -16.43254714 -41.29005386 -20.63430041 -10.6673468  11.68144815
## 1436 -16.43254714 -41.29005386 -20.63430041 -10.6673468  11.68144815
## 1437 -16.43254714 -41.29005386 -20.63430041 -10.6673468  11.68144815
## 1438           NA           NA           NA          NA           NA
## 1439           NA           NA           NA          NA           NA
## 1440           NA           NA           NA          NA           NA
## 1441           NA           NA           NA          NA           NA
## 1442           NA           NA           NA          NA           NA
## 1443  22.23375150  10.21461977   0.92979548  -7.5077764 -16.08156060
## 1444  22.23375150  10.21461977   0.92979548  -7.5077764 -16.08156060
## 1445  22.23375150  10.21461977   0.92979548  -7.5077764 -16.08156060
## 1446  22.23375150  10.21461977   0.92979548  -7.5077764 -16.08156060
## 1447  22.23375150  10.21461977   0.92979548  -7.5077764 -16.08156060
## 1448           NA           NA           NA          NA           NA
## 1449           NA           NA           NA          NA           NA
## 1450           NA           NA           NA          NA           NA
## 1451           NA           NA           NA          NA           NA
## 1452           NA           NA           NA          NA           NA
## 1453           NA           NA           NA          NA           NA
## 1454           NA           NA           NA          NA           NA
## 1455           NA           NA           NA          NA           NA
## 1456           NA           NA           NA          NA           NA
## 1457           NA           NA           NA          NA           NA
## 1458           NA           NA           NA          NA           NA
## 1459           NA           NA           NA          NA           NA
## 1460           NA           NA           NA          NA           NA
## 1461           NA           NA           NA          NA           NA
## 1462           NA           NA           NA          NA           NA
## 1463  -1.94821371 -10.48044038   3.36686632  -8.5509952  -1.25874582
## 1464  -1.94821371 -10.48044038   3.36686632  -8.5509952  -1.25874582
## 1465  -1.94821371 -10.48044038   3.36686632  -8.5509952  -1.25874582
## 1466  -1.94821371 -10.48044038   3.36686632  -8.5509952  -1.25874582
## 1467  -1.94821371 -10.48044038   3.36686632  -8.5509952  -1.25874582
## 1468           NA           NA           NA          NA           NA
## 1469           NA           NA           NA          NA           NA
## 1470           NA           NA           NA          NA           NA
## 1471           NA           NA           NA          NA           NA
## 1472           NA           NA           NA          NA           NA
## 1473           NA           NA           NA          NA           NA
## 1474           NA           NA           NA          NA           NA
## 1475           NA           NA           NA          NA           NA
## 1476           NA           NA           NA          NA           NA
## 1477           NA           NA           NA          NA           NA
## 1478           NA           NA           NA          NA           NA
## 1479           NA           NA           NA          NA           NA
## 1480           NA           NA           NA          NA           NA
## 1481           NA           NA           NA          NA           NA
## 1482           NA           NA           NA          NA           NA
## 1483           NA           NA           NA          NA           NA
## 1484           NA           NA           NA          NA           NA
## 1485           NA           NA           NA          NA           NA
## 1486           NA           NA           NA          NA           NA
## 1487           NA           NA           NA          NA           NA
## 1488   0.76549905   8.39363679   1.63123256 -12.1401361   5.99800141
## 1489   0.76549905   8.39363679   1.63123256 -12.1401361   5.99800141
## 1490   0.76549905   8.39363679   1.63123256 -12.1401361   5.99800141
## 1491   0.76549905   8.39363679   1.63123256 -12.1401361   5.99800141
## 1492   0.76549905   8.39363679   1.63123256 -12.1401361   5.99800141
## 1493  -0.32073949   7.80943543 -14.57376003  -2.2037800  -5.69369700
## 1494  -0.32073949   7.80943543 -14.57376003  -2.2037800  -5.69369700
## 1495  -0.32073949   7.80943543 -14.57376003  -2.2037800  -5.69369700
## 1496  -0.32073949   7.80943543 -14.57376003  -2.2037800  -5.69369700
## 1497  -0.32073949   7.80943543 -14.57376003  -2.2037800  -5.69369700
## 1498   9.42995342  11.59494595   6.88393462   6.9829217  -2.35599419
## 1499   9.42995342  11.59494595   6.88393462   6.9829217  -2.35599419
## 1500   9.42995342  11.59494595   6.88393462   6.9829217  -2.35599419
## 1501   9.42995342  11.59494595   6.88393462   6.9829217  -2.35599419
## 1502   9.42995342  11.59494595   6.88393462   6.9829217  -2.35599419
## 1503   1.50156316  -6.20254034  -2.02363389  -0.3174137  14.20644812
## 1504   1.50156316  -6.20254034  -2.02363389  -0.3174137  14.20644812
## 1505   1.50156316  -6.20254034  -2.02363389  -0.3174137  14.20644812
## 1506   1.50156316  -6.20254034  -2.02363389  -0.3174137  14.20644812
## 1507   1.50156316  -6.20254034  -2.02363389  -0.3174137  14.20644812
## 1508           NA           NA           NA          NA           NA
## 1509           NA           NA           NA          NA           NA
## 1510           NA           NA           NA          NA           NA
## 1511           NA           NA           NA          NA           NA
## 1512           NA           NA           NA          NA           NA
## 1513           NA           NA           NA          NA           NA
## 1514           NA           NA           NA          NA           NA
## 1515           NA           NA           NA          NA           NA
## 1516           NA           NA           NA          NA           NA
## 1517           NA           NA           NA          NA           NA
## 1518           NA           NA           NA          NA           NA
## 1519           NA           NA           NA          NA           NA
## 1520           NA           NA           NA          NA           NA
## 1521           NA           NA           NA          NA           NA
## 1522           NA           NA           NA          NA           NA
## 1523           NA           NA           NA          NA           NA
## 1524           NA           NA           NA          NA           NA
## 1525           NA           NA           NA          NA           NA
## 1526           NA           NA           NA          NA           NA
## 1527           NA           NA           NA          NA           NA
## 1528  -0.97090912  -4.41405006   0.65972649  -0.9128927   3.52099853
## 1529  -0.97090912  -4.41405006   0.65972649  -0.9128927   3.52099853
## 1530  -0.97090912  -4.41405006   0.65972649  -0.9128927   3.52099853
## 1531  -0.97090912  -4.41405006   0.65972649  -0.9128927   3.52099853
## 1532  -0.97090912  -4.41405006   0.65972649  -0.9128927   3.52099853
## 1533           NA           NA           NA          NA           NA
## 1534           NA           NA           NA          NA           NA
## 1535           NA           NA           NA          NA           NA
## 1536           NA           NA           NA          NA           NA
## 1537           NA           NA           NA          NA           NA
## 1538           NA           NA           NA          NA           NA
##        PC58_score   PC36_score   PC70_score   PC77_score  PC14_score
## 1     12.16166299 -12.51860302 -18.67989166  24.97100778   3.0682764
## 2     12.16166299 -12.51860302 -18.67989166  24.97100778   3.0682764
## 3     12.16166299 -12.51860302 -18.67989166  24.97100778   3.0682764
## 4     12.16166299 -12.51860302 -18.67989166  24.97100778   3.0682764
## 5     12.16166299 -12.51860302 -18.67989166  24.97100778   3.0682764
## 6     12.16166299 -12.51860302 -18.67989166  24.97100778   3.0682764
## 7     12.16166299 -12.51860302 -18.67989166  24.97100778   3.0682764
## 8     12.16166299 -12.51860302 -18.67989166  24.97100778   3.0682764
## 9      4.63925607  -7.73909989  -6.98400998   4.61998232   0.5108574
## 10     4.63925607  -7.73909989  -6.98400998   4.61998232   0.5108574
## 11     4.63925607  -7.73909989  -6.98400998   4.61998232   0.5108574
## 12     4.63925607  -7.73909989  -6.98400998   4.61998232   0.5108574
## 13     4.63925607  -7.73909989  -6.98400998   4.61998232   0.5108574
## 14     4.63925607  -7.73909989  -6.98400998   4.61998232   0.5108574
## 15     4.63925607  -7.73909989  -6.98400998   4.61998232   0.5108574
## 16     4.63925607  -7.73909989  -6.98400998   4.61998232   0.5108574
## 17    -9.41974742 -13.42430048   0.76669073  -1.31671656 -10.3843723
## 18    -9.41974742 -13.42430048   0.76669073  -1.31671656 -10.3843723
## 19    -9.41974742 -13.42430048   0.76669073  -1.31671656 -10.3843723
## 20    -9.41974742 -13.42430048   0.76669073  -1.31671656 -10.3843723
## 21    -9.41974742 -13.42430048   0.76669073  -1.31671656 -10.3843723
## 22    -9.41974742 -13.42430048   0.76669073  -1.31671656 -10.3843723
## 23    -9.41974742 -13.42430048   0.76669073  -1.31671656 -10.3843723
## 24    -9.41974742 -13.42430048   0.76669073  -1.31671656 -10.3843723
## 25   -31.37247935   6.55147875  12.28430647  -3.12954334  -3.4959815
## 26   -31.37247935   6.55147875  12.28430647  -3.12954334  -3.4959815
## 27   -31.37247935   6.55147875  12.28430647  -3.12954334  -3.4959815
## 28   -31.37247935   6.55147875  12.28430647  -3.12954334  -3.4959815
## 29   -31.37247935   6.55147875  12.28430647  -3.12954334  -3.4959815
## 30   -31.37247935   6.55147875  12.28430647  -3.12954334  -3.4959815
## 31   -31.37247935   6.55147875  12.28430647  -3.12954334  -3.4959815
## 32   -31.37247935   6.55147875  12.28430647  -3.12954334  -3.4959815
## 33    37.61865931 -11.00684509  -8.93785001  -6.68631953  -3.5976003
## 34    37.61865931 -11.00684509  -8.93785001  -6.68631953  -3.5976003
## 35    37.61865931 -11.00684509  -8.93785001  -6.68631953  -3.5976003
## 36    37.61865931 -11.00684509  -8.93785001  -6.68631953  -3.5976003
## 37    37.61865931 -11.00684509  -8.93785001  -6.68631953  -3.5976003
## 38    37.61865931 -11.00684509  -8.93785001  -6.68631953  -3.5976003
## 39    37.61865931 -11.00684509  -8.93785001  -6.68631953  -3.5976003
## 40    37.61865931 -11.00684509  -8.93785001  -6.68631953  -3.5976003
## 41    -2.23709982  -0.86391533  -0.50637705  -1.39518563  -2.6004752
## 42    -2.23709982  -0.86391533  -0.50637705  -1.39518563  -2.6004752
## 43    -2.23709982  -0.86391533  -0.50637705  -1.39518563  -2.6004752
## 44    -2.23709982  -0.86391533  -0.50637705  -1.39518563  -2.6004752
## 45    -2.23709982  -0.86391533  -0.50637705  -1.39518563  -2.6004752
## 46    -2.23709982  -0.86391533  -0.50637705  -1.39518563  -2.6004752
## 47    -2.23709982  -0.86391533  -0.50637705  -1.39518563  -2.6004752
## 48    -2.23709982  -0.86391533  -0.50637705  -1.39518563  -2.6004752
## 49     4.48050426  13.74452089  -2.16324518   0.13967191 -35.8307222
## 50     4.48050426  13.74452089  -2.16324518   0.13967191 -35.8307222
## 51     4.48050426  13.74452089  -2.16324518   0.13967191 -35.8307222
## 52     4.48050426  13.74452089  -2.16324518   0.13967191 -35.8307222
## 53     4.48050426  13.74452089  -2.16324518   0.13967191 -35.8307222
## 54     4.48050426  13.74452089  -2.16324518   0.13967191 -35.8307222
## 55     4.48050426  13.74452089  -2.16324518   0.13967191 -35.8307222
## 56     4.48050426  13.74452089  -2.16324518   0.13967191 -35.8307222
## 57   -35.51935981 -19.63064913   3.26020890  -8.15136935   4.5676847
## 58   -35.51935981 -19.63064913   3.26020890  -8.15136935   4.5676847
## 59   -35.51935981 -19.63064913   3.26020890  -8.15136935   4.5676847
## 60   -35.51935981 -19.63064913   3.26020890  -8.15136935   4.5676847
## 61   -35.51935981 -19.63064913   3.26020890  -8.15136935   4.5676847
## 62   -35.51935981 -19.63064913   3.26020890  -8.15136935   4.5676847
## 63   -35.51935981 -19.63064913   3.26020890  -8.15136935   4.5676847
## 64   -35.51935981 -19.63064913   3.26020890  -8.15136935   4.5676847
## 65    11.45397096 -18.96713084   7.69001521   1.81957958  -5.2076366
## 66    11.45397096 -18.96713084   7.69001521   1.81957958  -5.2076366
## 67    11.45397096 -18.96713084   7.69001521   1.81957958  -5.2076366
## 68    11.45397096 -18.96713084   7.69001521   1.81957958  -5.2076366
## 69    11.45397096 -18.96713084   7.69001521   1.81957958  -5.2076366
## 70    11.45397096 -18.96713084   7.69001521   1.81957958  -5.2076366
## 71    11.45397096 -18.96713084   7.69001521   1.81957958  -5.2076366
## 72    11.45397096 -18.96713084   7.69001521   1.81957958  -5.2076366
## 73    29.82408071   2.45592318   5.02414119  -9.01248315  -7.0863522
## 74    29.82408071   2.45592318   5.02414119  -9.01248315  -7.0863522
## 75    29.82408071   2.45592318   5.02414119  -9.01248315  -7.0863522
## 76    29.82408071   2.45592318   5.02414119  -9.01248315  -7.0863522
## 77    29.82408071   2.45592318   5.02414119  -9.01248315  -7.0863522
## 78    29.82408071   2.45592318   5.02414119  -9.01248315  -7.0863522
## 79    29.82408071   2.45592318   5.02414119  -9.01248315  -7.0863522
## 80    29.82408071   2.45592318   5.02414119  -9.01248315  -7.0863522
## 81    -3.85402052  -5.91464905 -20.48264653   3.05100147   2.0553760
## 82    -3.85402052  -5.91464905 -20.48264653   3.05100147   2.0553760
## 83    -3.85402052  -5.91464905 -20.48264653   3.05100147   2.0553760
## 84    -3.85402052  -5.91464905 -20.48264653   3.05100147   2.0553760
## 85    -3.85402052  -5.91464905 -20.48264653   3.05100147   2.0553760
## 86    -3.85402052  -5.91464905 -20.48264653   3.05100147   2.0553760
## 87    -3.85402052  -5.91464905 -20.48264653   3.05100147   2.0553760
## 88    -3.85402052  -5.91464905 -20.48264653   3.05100147   2.0553760
## 89     6.76828736  33.67861397   3.80798201   0.45440311  -6.6132322
## 90     6.76828736  33.67861397   3.80798201   0.45440311  -6.6132322
## 91     6.76828736  33.67861397   3.80798201   0.45440311  -6.6132322
## 92     6.76828736  33.67861397   3.80798201   0.45440311  -6.6132322
## 93     6.76828736  33.67861397   3.80798201   0.45440311  -6.6132322
## 94     6.76828736  33.67861397   3.80798201   0.45440311  -6.6132322
## 95     6.76828736  33.67861397   3.80798201   0.45440311  -6.6132322
## 96     6.76828736  33.67861397   3.80798201   0.45440311  -6.6132322
## 97   -22.39005558  -8.67074746  -2.34908269  -0.11977896   0.5709071
## 98   -22.39005558  -8.67074746  -2.34908269  -0.11977896   0.5709071
## 99   -22.39005558  -8.67074746  -2.34908269  -0.11977896   0.5709071
## 100  -22.39005558  -8.67074746  -2.34908269  -0.11977896   0.5709071
## 101  -22.39005558  -8.67074746  -2.34908269  -0.11977896   0.5709071
## 102  -22.39005558  -8.67074746  -2.34908269  -0.11977896   0.5709071
## 103  -22.39005558  -8.67074746  -2.34908269  -0.11977896   0.5709071
## 104  -22.39005558  -8.67074746  -2.34908269  -0.11977896   0.5709071
## 105   -5.98160538  -1.81163473  12.40681106   8.41684059   1.2805164
## 106   -5.98160538  -1.81163473  12.40681106   8.41684059   1.2805164
## 107   -5.98160538  -1.81163473  12.40681106   8.41684059   1.2805164
## 108   -5.98160538  -1.81163473  12.40681106   8.41684059   1.2805164
## 109   -5.98160538  -1.81163473  12.40681106   8.41684059   1.2805164
## 110   -5.98160538  -1.81163473  12.40681106   8.41684059   1.2805164
## 111   -5.98160538  -1.81163473  12.40681106   8.41684059   1.2805164
## 112   -5.98160538  -1.81163473  12.40681106   8.41684059   1.2805164
## 113   -3.27966580  15.89079764  -2.58902095  -0.43729267   0.7214889
## 114   -3.27966580  15.89079764  -2.58902095  -0.43729267   0.7214889
## 115   -3.27966580  15.89079764  -2.58902095  -0.43729267   0.7214889
## 116   -3.27966580  15.89079764  -2.58902095  -0.43729267   0.7214889
## 117   -3.27966580  15.89079764  -2.58902095  -0.43729267   0.7214889
## 118   -3.27966580  15.89079764  -2.58902095  -0.43729267   0.7214889
## 119   -3.27966580  15.89079764  -2.58902095  -0.43729267   0.7214889
## 120   -3.27966580  15.89079764  -2.58902095  -0.43729267   0.7214889
## 121   11.26531422 -36.58059878  12.75185192  12.67527926  -4.8065773
## 122   11.26531422 -36.58059878  12.75185192  12.67527926  -4.8065773
## 123   11.26531422 -36.58059878  12.75185192  12.67527926  -4.8065773
## 124   11.26531422 -36.58059878  12.75185192  12.67527926  -4.8065773
## 125   11.26531422 -36.58059878  12.75185192  12.67527926  -4.8065773
## 126   11.26531422 -36.58059878  12.75185192  12.67527926  -4.8065773
## 127   11.26531422 -36.58059878  12.75185192  12.67527926  -4.8065773
## 128   11.26531422 -36.58059878  12.75185192  12.67527926  -4.8065773
## 129   -7.96543873  -9.59010487 -24.88288332  -6.87207570  -0.6856724
## 130   -7.96543873  -9.59010487 -24.88288332  -6.87207570  -0.6856724
## 131   -7.96543873  -9.59010487 -24.88288332  -6.87207570  -0.6856724
## 132   -7.96543873  -9.59010487 -24.88288332  -6.87207570  -0.6856724
## 133   -7.96543873  -9.59010487 -24.88288332  -6.87207570  -0.6856724
## 134   -7.96543873  -9.59010487 -24.88288332  -6.87207570  -0.6856724
## 135   -7.96543873  -9.59010487 -24.88288332  -6.87207570  -0.6856724
## 136   -7.96543873  -9.59010487 -24.88288332  -6.87207570  -0.6856724
## 137    3.42861156   8.36330699   2.14315581   3.71138555 -24.0401294
## 138    3.42861156   8.36330699   2.14315581   3.71138555 -24.0401294
## 139    3.42861156   8.36330699   2.14315581   3.71138555 -24.0401294
## 140    3.42861156   8.36330699   2.14315581   3.71138555 -24.0401294
## 141    3.42861156   8.36330699   2.14315581   3.71138555 -24.0401294
## 142    3.42861156   8.36330699   2.14315581   3.71138555 -24.0401294
## 143    3.42861156   8.36330699   2.14315581   3.71138555 -24.0401294
## 144    3.42861156   8.36330699   2.14315581   3.71138555 -24.0401294
## 145  -29.33813476   3.92802197  12.70957408   5.61569990  -1.4856773
## 146  -29.33813476   3.92802197  12.70957408   5.61569990  -1.4856773
## 147  -29.33813476   3.92802197  12.70957408   5.61569990  -1.4856773
## 148  -29.33813476   3.92802197  12.70957408   5.61569990  -1.4856773
## 149  -29.33813476   3.92802197  12.70957408   5.61569990  -1.4856773
## 150  -29.33813476   3.92802197  12.70957408   5.61569990  -1.4856773
## 151  -29.33813476   3.92802197  12.70957408   5.61569990  -1.4856773
## 152  -29.33813476   3.92802197  12.70957408   5.61569990  -1.4856773
## 153    4.70136320   0.18181626  -0.51177105   3.98201127  26.1655956
## 154    4.70136320   0.18181626  -0.51177105   3.98201127  26.1655956
## 155    4.70136320   0.18181626  -0.51177105   3.98201127  26.1655956
## 156    4.70136320   0.18181626  -0.51177105   3.98201127  26.1655956
## 157    4.70136320   0.18181626  -0.51177105   3.98201127  26.1655956
## 158    4.70136320   0.18181626  -0.51177105   3.98201127  26.1655956
## 159    4.70136320   0.18181626  -0.51177105   3.98201127  26.1655956
## 160    4.70136320   0.18181626  -0.51177105   3.98201127  26.1655956
## 161   -2.94029483   0.18537480  12.60897425 -16.88008069  -2.3635903
## 162   -2.94029483   0.18537480  12.60897425 -16.88008069  -2.3635903
## 163   -2.94029483   0.18537480  12.60897425 -16.88008069  -2.3635903
## 164   -2.94029483   0.18537480  12.60897425 -16.88008069  -2.3635903
## 165   -2.94029483   0.18537480  12.60897425 -16.88008069  -2.3635903
## 166   -2.94029483   0.18537480  12.60897425 -16.88008069  -2.3635903
## 167   -2.94029483   0.18537480  12.60897425 -16.88008069  -2.3635903
## 168   -2.94029483   0.18537480  12.60897425 -16.88008069  -2.3635903
## 169    3.42896430  -2.47349435   1.28126160  -0.87019349  -0.2324671
## 170    3.42896430  -2.47349435   1.28126160  -0.87019349  -0.2324671
## 171    3.42896430  -2.47349435   1.28126160  -0.87019349  -0.2324671
## 172    3.42896430  -2.47349435   1.28126160  -0.87019349  -0.2324671
## 173    3.42896430  -2.47349435   1.28126160  -0.87019349  -0.2324671
## 174    3.42896430  -2.47349435   1.28126160  -0.87019349  -0.2324671
## 175    3.42896430  -2.47349435   1.28126160  -0.87019349  -0.2324671
## 176    3.42896430  -2.47349435   1.28126160  -0.87019349  -0.2324671
## 177   -4.57309934  -4.34269305  -0.07670882   5.89758186   3.0623233
## 178   -4.57309934  -4.34269305  -0.07670882   5.89758186   3.0623233
## 179   -4.57309934  -4.34269305  -0.07670882   5.89758186   3.0623233
## 180   -4.57309934  -4.34269305  -0.07670882   5.89758186   3.0623233
## 181   -4.57309934  -4.34269305  -0.07670882   5.89758186   3.0623233
## 182   -4.57309934  -4.34269305  -0.07670882   5.89758186   3.0623233
## 183   -4.57309934  -4.34269305  -0.07670882   5.89758186   3.0623233
## 184   -4.57309934  -4.34269305  -0.07670882   5.89758186   3.0623233
## 185   -0.43504623   2.57156813  -2.55433577  -0.83401009  17.6320774
## 186   -0.43504623   2.57156813  -2.55433577  -0.83401009  17.6320774
## 187   -0.43504623   2.57156813  -2.55433577  -0.83401009  17.6320774
## 188   -0.43504623   2.57156813  -2.55433577  -0.83401009  17.6320774
## 189   -0.43504623   2.57156813  -2.55433577  -0.83401009  17.6320774
## 190   -0.43504623   2.57156813  -2.55433577  -0.83401009  17.6320774
## 191   -0.43504623   2.57156813  -2.55433577  -0.83401009  17.6320774
## 192   -0.43504623   2.57156813  -2.55433577  -0.83401009  17.6320774
## 193  -43.83442112 -10.16046328  -2.30322936   1.41674758  -0.4885114
## 194  -43.83442112 -10.16046328  -2.30322936   1.41674758  -0.4885114
## 195  -43.83442112 -10.16046328  -2.30322936   1.41674758  -0.4885114
## 196  -43.83442112 -10.16046328  -2.30322936   1.41674758  -0.4885114
## 197  -43.83442112 -10.16046328  -2.30322936   1.41674758  -0.4885114
## 198  -43.83442112 -10.16046328  -2.30322936   1.41674758  -0.4885114
## 199  -43.83442112 -10.16046328  -2.30322936   1.41674758  -0.4885114
## 200  -43.83442112 -10.16046328  -2.30322936   1.41674758  -0.4885114
## 201   -3.93227578 -21.52108386  -0.36865465   5.79695539 -17.4174450
## 202   -3.93227578 -21.52108386  -0.36865465   5.79695539 -17.4174450
## 203   -3.93227578 -21.52108386  -0.36865465   5.79695539 -17.4174450
## 204   -3.93227578 -21.52108386  -0.36865465   5.79695539 -17.4174450
## 205   -3.93227578 -21.52108386  -0.36865465   5.79695539 -17.4174450
## 206   -3.93227578 -21.52108386  -0.36865465   5.79695539 -17.4174450
## 207   -3.93227578 -21.52108386  -0.36865465   5.79695539 -17.4174450
## 208   -3.93227578 -21.52108386  -0.36865465   5.79695539 -17.4174450
## 209    0.50534452   1.53648786   4.26034960   1.31508209 -31.7695227
## 210    0.50534452   1.53648786   4.26034960   1.31508209 -31.7695227
## 211    0.50534452   1.53648786   4.26034960   1.31508209 -31.7695227
## 212    0.50534452   1.53648786   4.26034960   1.31508209 -31.7695227
## 213    0.50534452   1.53648786   4.26034960   1.31508209 -31.7695227
## 214    0.50534452   1.53648786   4.26034960   1.31508209 -31.7695227
## 215    0.50534452   1.53648786   4.26034960   1.31508209 -31.7695227
## 216    0.50534452   1.53648786   4.26034960   1.31508209 -31.7695227
## 217    2.83642586   3.42841011  -0.23292005  -1.12167376   6.7775470
## 218    2.83642586   3.42841011  -0.23292005  -1.12167376   6.7775470
## 219    2.83642586   3.42841011  -0.23292005  -1.12167376   6.7775470
## 220    2.83642586   3.42841011  -0.23292005  -1.12167376   6.7775470
## 221    2.83642586   3.42841011  -0.23292005  -1.12167376   6.7775470
## 222    2.83642586   3.42841011  -0.23292005  -1.12167376   6.7775470
## 223    2.83642586   3.42841011  -0.23292005  -1.12167376   6.7775470
## 224    2.83642586   3.42841011  -0.23292005  -1.12167376   6.7775470
## 225   -0.07122256   2.36120797  -1.78339431   1.56724987  -0.8146427
## 226   -0.07122256   2.36120797  -1.78339431   1.56724987  -0.8146427
## 227   -0.07122256   2.36120797  -1.78339431   1.56724987  -0.8146427
## 228   -0.07122256   2.36120797  -1.78339431   1.56724987  -0.8146427
## 229   -0.07122256   2.36120797  -1.78339431   1.56724987  -0.8146427
## 230   -0.07122256   2.36120797  -1.78339431   1.56724987  -0.8146427
## 231   -0.07122256   2.36120797  -1.78339431   1.56724987  -0.8146427
## 232   -0.07122256   2.36120797  -1.78339431   1.56724987  -0.8146427
## 233   -0.73969717 -44.17889080   0.89569002  -6.74534126  17.7535756
## 234   -0.73969717 -44.17889080   0.89569002  -6.74534126  17.7535756
## 235   -0.73969717 -44.17889080   0.89569002  -6.74534126  17.7535756
## 236   -0.73969717 -44.17889080   0.89569002  -6.74534126  17.7535756
## 237   -0.73969717 -44.17889080   0.89569002  -6.74534126  17.7535756
## 238   -0.73969717 -44.17889080   0.89569002  -6.74534126  17.7535756
## 239   -0.73969717 -44.17889080   0.89569002  -6.74534126  17.7535756
## 240   -0.73969717 -44.17889080   0.89569002  -6.74534126  17.7535756
## 241   -9.31446327  18.20438853   3.03262320   1.91487175  -0.9557318
## 242   -9.31446327  18.20438853   3.03262320   1.91487175  -0.9557318
## 243   -9.31446327  18.20438853   3.03262320   1.91487175  -0.9557318
## 244   -9.31446327  18.20438853   3.03262320   1.91487175  -0.9557318
## 245   -9.31446327  18.20438853   3.03262320   1.91487175  -0.9557318
## 246   -9.31446327  18.20438853   3.03262320   1.91487175  -0.9557318
## 247   -9.31446327  18.20438853   3.03262320   1.91487175  -0.9557318
## 248   -9.31446327  18.20438853   3.03262320   1.91487175  -0.9557318
## 249    3.13681842   3.08877376  26.10452837   4.34153617   4.5414801
## 250    3.13681842   3.08877376  26.10452837   4.34153617   4.5414801
## 251    3.13681842   3.08877376  26.10452837   4.34153617   4.5414801
## 252    3.13681842   3.08877376  26.10452837   4.34153617   4.5414801
## 253    3.13681842   3.08877376  26.10452837   4.34153617   4.5414801
## 254    3.13681842   3.08877376  26.10452837   4.34153617   4.5414801
## 255    3.13681842   3.08877376  26.10452837   4.34153617   4.5414801
## 256    3.13681842   3.08877376  26.10452837   4.34153617   4.5414801
## 257    2.38702368  -1.70619263  -8.10984928   0.14222178   1.6153250
## 258    2.38702368  -1.70619263  -8.10984928   0.14222178   1.6153250
## 259    2.38702368  -1.70619263  -8.10984928   0.14222178   1.6153250
## 260    2.38702368  -1.70619263  -8.10984928   0.14222178   1.6153250
## 261    2.38702368  -1.70619263  -8.10984928   0.14222178   1.6153250
## 262    2.38702368  -1.70619263  -8.10984928   0.14222178   1.6153250
## 263    2.38702368  -1.70619263  -8.10984928   0.14222178   1.6153250
## 264    2.38702368  -1.70619263  -8.10984928   0.14222178   1.6153250
## 265   18.40333519  19.18720777 -23.92551591  -4.73200997  10.2545536
## 266   18.40333519  19.18720777 -23.92551591  -4.73200997  10.2545536
## 267   18.40333519  19.18720777 -23.92551591  -4.73200997  10.2545536
## 268   18.40333519  19.18720777 -23.92551591  -4.73200997  10.2545536
## 269   18.40333519  19.18720777 -23.92551591  -4.73200997  10.2545536
## 270   18.40333519  19.18720777 -23.92551591  -4.73200997  10.2545536
## 271   18.40333519  19.18720777 -23.92551591  -4.73200997  10.2545536
## 272   18.40333519  19.18720777 -23.92551591  -4.73200997  10.2545536
## 273   19.00994035  20.32329435  -1.58379232   1.00322292   0.7646596
## 274   19.00994035  20.32329435  -1.58379232   1.00322292   0.7646596
## 275   19.00994035  20.32329435  -1.58379232   1.00322292   0.7646596
## 276   19.00994035  20.32329435  -1.58379232   1.00322292   0.7646596
## 277   19.00994035  20.32329435  -1.58379232   1.00322292   0.7646596
## 278   19.00994035  20.32329435  -1.58379232   1.00322292   0.7646596
## 279   19.00994035  20.32329435  -1.58379232   1.00322292   0.7646596
## 280   19.00994035  20.32329435  -1.58379232   1.00322292   0.7646596
## 281  -14.37480772   5.68170067  -2.09210913  11.23133627  -3.4403619
## 282  -14.37480772   5.68170067  -2.09210913  11.23133627  -3.4403619
## 283  -14.37480772   5.68170067  -2.09210913  11.23133627  -3.4403619
## 284  -14.37480772   5.68170067  -2.09210913  11.23133627  -3.4403619
## 285  -14.37480772   5.68170067  -2.09210913  11.23133627  -3.4403619
## 286  -14.37480772   5.68170067  -2.09210913  11.23133627  -3.4403619
## 287  -14.37480772   5.68170067  -2.09210913  11.23133627  -3.4403619
## 288  -14.37480772   5.68170067  -2.09210913  11.23133627  -3.4403619
## 289   14.01009627  -4.48348419  27.20310664   1.68434664   4.7938185
## 290   14.01009627  -4.48348419  27.20310664   1.68434664   4.7938185
## 291   14.01009627  -4.48348419  27.20310664   1.68434664   4.7938185
## 292   14.01009627  -4.48348419  27.20310664   1.68434664   4.7938185
## 293   14.01009627  -4.48348419  27.20310664   1.68434664   4.7938185
## 294   14.01009627  -4.48348419  27.20310664   1.68434664   4.7938185
## 295   14.01009627  -4.48348419  27.20310664   1.68434664   4.7938185
## 296   14.01009627  -4.48348419  27.20310664   1.68434664   4.7938185
## 297   -8.83887790   1.74447087   8.02559971  -6.98668074  -1.5192169
## 298   -8.83887790   1.74447087   8.02559971  -6.98668074  -1.5192169
## 299   -8.83887790   1.74447087   8.02559971  -6.98668074  -1.5192169
## 300   -8.83887790   1.74447087   8.02559971  -6.98668074  -1.5192169
## 301   -8.83887790   1.74447087   8.02559971  -6.98668074  -1.5192169
## 302   -8.83887790   1.74447087   8.02559971  -6.98668074  -1.5192169
## 303   -8.83887790   1.74447087   8.02559971  -6.98668074  -1.5192169
## 304   -8.83887790   1.74447087   8.02559971  -6.98668074  -1.5192169
## 305   -3.15275749  -1.45315329   5.62442237  -1.30828490  -3.7617869
## 306   -3.15275749  -1.45315329   5.62442237  -1.30828490  -3.7617869
## 307   -3.15275749  -1.45315329   5.62442237  -1.30828490  -3.7617869
## 308   -3.15275749  -1.45315329   5.62442237  -1.30828490  -3.7617869
## 309   -3.15275749  -1.45315329   5.62442237  -1.30828490  -3.7617869
## 310   -3.15275749  -1.45315329   5.62442237  -1.30828490  -3.7617869
## 311   -3.15275749  -1.45315329   5.62442237  -1.30828490  -3.7617869
## 312   -3.15275749  -1.45315329   5.62442237  -1.30828490  -3.7617869
## 313    9.33982410  14.95407139  -6.64096022  -2.86140379  -1.5632387
## 314    9.33982410  14.95407139  -6.64096022  -2.86140379  -1.5632387
## 315    9.33982410  14.95407139  -6.64096022  -2.86140379  -1.5632387
## 316    9.33982410  14.95407139  -6.64096022  -2.86140379  -1.5632387
## 317    9.33982410  14.95407139  -6.64096022  -2.86140379  -1.5632387
## 318    9.33982410  14.95407139  -6.64096022  -2.86140379  -1.5632387
## 319    9.33982410  14.95407139  -6.64096022  -2.86140379  -1.5632387
## 320    9.33982410  14.95407139  -6.64096022  -2.86140379  -1.5632387
## 321   -9.19007387 -13.79532792  -4.41785240  -9.65886389  -0.1923550
## 322   -9.19007387 -13.79532792  -4.41785240  -9.65886389  -0.1923550
## 323   -9.19007387 -13.79532792  -4.41785240  -9.65886389  -0.1923550
## 324   -9.19007387 -13.79532792  -4.41785240  -9.65886389  -0.1923550
## 325   -9.19007387 -13.79532792  -4.41785240  -9.65886389  -0.1923550
## 326   -9.19007387 -13.79532792  -4.41785240  -9.65886389  -0.1923550
## 327   -9.19007387 -13.79532792  -4.41785240  -9.65886389  -0.1923550
## 328   -9.19007387 -13.79532792  -4.41785240  -9.65886389  -0.1923550
## 329    8.08442371  -8.68187103  -5.55128001  -6.61146060   3.8255830
## 330    8.08442371  -8.68187103  -5.55128001  -6.61146060   3.8255830
## 331    8.08442371  -8.68187103  -5.55128001  -6.61146060   3.8255830
## 332    8.08442371  -8.68187103  -5.55128001  -6.61146060   3.8255830
## 333    8.08442371  -8.68187103  -5.55128001  -6.61146060   3.8255830
## 334    8.08442371  -8.68187103  -5.55128001  -6.61146060   3.8255830
## 335    8.08442371  -8.68187103  -5.55128001  -6.61146060   3.8255830
## 336    8.08442371  -8.68187103  -5.55128001  -6.61146060   3.8255830
## 337    1.23771845  19.10557879   1.65445498  -1.19377967  13.9744456
## 338    1.23771845  19.10557879   1.65445498  -1.19377967  13.9744456
## 339    1.23771845  19.10557879   1.65445498  -1.19377967  13.9744456
## 340    1.23771845  19.10557879   1.65445498  -1.19377967  13.9744456
## 341    1.23771845  19.10557879   1.65445498  -1.19377967  13.9744456
## 342    1.23771845  19.10557879   1.65445498  -1.19377967  13.9744456
## 343    1.23771845  19.10557879   1.65445498  -1.19377967  13.9744456
## 344    1.23771845  19.10557879   1.65445498  -1.19377967  13.9744456
## 345   -9.36215989  -6.41764747   0.39519056  -0.42625389  -4.5948242
## 346   -9.36215989  -6.41764747   0.39519056  -0.42625389  -4.5948242
## 347   -9.36215989  -6.41764747   0.39519056  -0.42625389  -4.5948242
## 348   -9.36215989  -6.41764747   0.39519056  -0.42625389  -4.5948242
## 349   -9.36215989  -6.41764747   0.39519056  -0.42625389  -4.5948242
## 350   -9.36215989  -6.41764747   0.39519056  -0.42625389  -4.5948242
## 351   -9.36215989  -6.41764747   0.39519056  -0.42625389  -4.5948242
## 352   -9.36215989  -6.41764747   0.39519056  -0.42625389  -4.5948242
## 353   -8.50534064  -9.56471562 -37.86635355 -24.32807459   7.8730939
## 354   -8.50534064  -9.56471562 -37.86635355 -24.32807459   7.8730939
## 355   -8.50534064  -9.56471562 -37.86635355 -24.32807459   7.8730939
## 356   -8.50534064  -9.56471562 -37.86635355 -24.32807459   7.8730939
## 357   -8.50534064  -9.56471562 -37.86635355 -24.32807459   7.8730939
## 358   -8.50534064  -9.56471562 -37.86635355 -24.32807459   7.8730939
## 359   -8.50534064  -9.56471562 -37.86635355 -24.32807459   7.8730939
## 360   -8.50534064  -9.56471562 -37.86635355 -24.32807459   7.8730939
## 361   -2.39834294  -8.44177838  -0.76766078   1.48103043 -35.9681642
## 362   -2.39834294  -8.44177838  -0.76766078   1.48103043 -35.9681642
## 363   -2.39834294  -8.44177838  -0.76766078   1.48103043 -35.9681642
## 364   -2.39834294  -8.44177838  -0.76766078   1.48103043 -35.9681642
## 365   -2.39834294  -8.44177838  -0.76766078   1.48103043 -35.9681642
## 366   -2.39834294  -8.44177838  -0.76766078   1.48103043 -35.9681642
## 367   -2.39834294  -8.44177838  -0.76766078   1.48103043 -35.9681642
## 368   -2.39834294  -8.44177838  -0.76766078   1.48103043 -35.9681642
## 369   18.93761617  -0.88634129  13.93548760 -21.27245856   1.9111433
## 370   18.93761617  -0.88634129  13.93548760 -21.27245856   1.9111433
## 371   18.93761617  -0.88634129  13.93548760 -21.27245856   1.9111433
## 372   18.93761617  -0.88634129  13.93548760 -21.27245856   1.9111433
## 373   18.93761617  -0.88634129  13.93548760 -21.27245856   1.9111433
## 374   18.93761617  -0.88634129  13.93548760 -21.27245856   1.9111433
## 375   18.93761617  -0.88634129  13.93548760 -21.27245856   1.9111433
## 376   18.93761617  -0.88634129  13.93548760 -21.27245856   1.9111433
## 377    8.73561652   2.17473428 -16.90121103  45.86694589  -1.2509211
## 378    8.73561652   2.17473428 -16.90121103  45.86694589  -1.2509211
## 379    8.73561652   2.17473428 -16.90121103  45.86694589  -1.2509211
## 380    8.73561652   2.17473428 -16.90121103  45.86694589  -1.2509211
## 381    8.73561652   2.17473428 -16.90121103  45.86694589  -1.2509211
## 382    8.73561652   2.17473428 -16.90121103  45.86694589  -1.2509211
## 383    8.73561652   2.17473428 -16.90121103  45.86694589  -1.2509211
## 384    8.73561652   2.17473428 -16.90121103  45.86694589  -1.2509211
## 385    4.76614085   5.16715119  13.89889354   0.50453340  -1.5687631
## 386    4.76614085   5.16715119  13.89889354   0.50453340  -1.5687631
## 387    4.76614085   5.16715119  13.89889354   0.50453340  -1.5687631
## 388    4.76614085   5.16715119  13.89889354   0.50453340  -1.5687631
## 389    4.76614085   5.16715119  13.89889354   0.50453340  -1.5687631
## 390    4.76614085   5.16715119  13.89889354   0.50453340  -1.5687631
## 391    4.76614085   5.16715119  13.89889354   0.50453340  -1.5687631
## 392    4.76614085   5.16715119  13.89889354   0.50453340  -1.5687631
## 393   -1.35797230  -0.78404081   2.93933233  -1.81071024   3.5708883
## 394   -1.35797230  -0.78404081   2.93933233  -1.81071024   3.5708883
## 395   -1.35797230  -0.78404081   2.93933233  -1.81071024   3.5708883
## 396   -1.35797230  -0.78404081   2.93933233  -1.81071024   3.5708883
## 397   -1.35797230  -0.78404081   2.93933233  -1.81071024   3.5708883
## 398   -1.35797230  -0.78404081   2.93933233  -1.81071024   3.5708883
## 399   -1.35797230  -0.78404081   2.93933233  -1.81071024   3.5708883
## 400   -1.35797230  -0.78404081   2.93933233  -1.81071024   3.5708883
## 401   -0.87142466   9.68512706   3.66508777  -4.21296436  -4.3153672
## 402   -0.87142466   9.68512706   3.66508777  -4.21296436  -4.3153672
## 403   -0.87142466   9.68512706   3.66508777  -4.21296436  -4.3153672
## 404   -0.87142466   9.68512706   3.66508777  -4.21296436  -4.3153672
## 405   -0.87142466   9.68512706   3.66508777  -4.21296436  -4.3153672
## 406   -0.87142466   9.68512706   3.66508777  -4.21296436  -4.3153672
## 407   -0.87142466   9.68512706   3.66508777  -4.21296436  -4.3153672
## 408   -0.87142466   9.68512706   3.66508777  -4.21296436  -4.3153672
## 409  -13.50092573  12.11094496 -19.86299349  -3.68570943  -1.2737099
## 410  -13.50092573  12.11094496 -19.86299349  -3.68570943  -1.2737099
## 411  -13.50092573  12.11094496 -19.86299349  -3.68570943  -1.2737099
## 412  -13.50092573  12.11094496 -19.86299349  -3.68570943  -1.2737099
## 413  -13.50092573  12.11094496 -19.86299349  -3.68570943  -1.2737099
## 414  -13.50092573  12.11094496 -19.86299349  -3.68570943  -1.2737099
## 415  -13.50092573  12.11094496 -19.86299349  -3.68570943  -1.2737099
## 416  -13.50092573  12.11094496 -19.86299349  -3.68570943  -1.2737099
## 417   15.01162113   2.93076641  21.51184146   4.45502417   1.8188344
## 418   15.01162113   2.93076641  21.51184146   4.45502417   1.8188344
## 419   15.01162113   2.93076641  21.51184146   4.45502417   1.8188344
## 420   15.01162113   2.93076641  21.51184146   4.45502417   1.8188344
## 421   15.01162113   2.93076641  21.51184146   4.45502417   1.8188344
## 422   15.01162113   2.93076641  21.51184146   4.45502417   1.8188344
## 423   15.01162113   2.93076641  21.51184146   4.45502417   1.8188344
## 424   15.01162113   2.93076641  21.51184146   4.45502417   1.8188344
## 425    8.72097863 -19.80800280   6.63076443  -7.97902631   8.2968256
## 426    8.72097863 -19.80800280   6.63076443  -7.97902631   8.2968256
## 427    8.72097863 -19.80800280   6.63076443  -7.97902631   8.2968256
## 428    8.72097863 -19.80800280   6.63076443  -7.97902631   8.2968256
## 429    8.72097863 -19.80800280   6.63076443  -7.97902631   8.2968256
## 430    8.72097863 -19.80800280   6.63076443  -7.97902631   8.2968256
## 431    8.72097863 -19.80800280   6.63076443  -7.97902631   8.2968256
## 432    8.72097863 -19.80800280   6.63076443  -7.97902631   8.2968256
## 433   -4.39086029 -10.31224674 -25.05560722 -14.65221166   0.4949161
## 434   -4.39086029 -10.31224674 -25.05560722 -14.65221166   0.4949161
## 435   -4.39086029 -10.31224674 -25.05560722 -14.65221166   0.4949161
## 436   -4.39086029 -10.31224674 -25.05560722 -14.65221166   0.4949161
## 437   -4.39086029 -10.31224674 -25.05560722 -14.65221166   0.4949161
## 438   -4.39086029 -10.31224674 -25.05560722 -14.65221166   0.4949161
## 439   -4.39086029 -10.31224674 -25.05560722 -14.65221166   0.4949161
## 440   -4.39086029 -10.31224674 -25.05560722 -14.65221166   0.4949161
## 441   -1.89686317   3.18189477   1.32033278   2.97080335  87.1349826
## 442   -1.89686317   3.18189477   1.32033278   2.97080335  87.1349826
## 443   -1.89686317   3.18189477   1.32033278   2.97080335  87.1349826
## 444   -1.89686317   3.18189477   1.32033278   2.97080335  87.1349826
## 445   -1.89686317   3.18189477   1.32033278   2.97080335  87.1349826
## 446   -1.89686317   3.18189477   1.32033278   2.97080335  87.1349826
## 447   -1.89686317   3.18189477   1.32033278   2.97080335  87.1349826
## 448   -1.89686317   3.18189477   1.32033278   2.97080335  87.1349826
## 449    6.64839535   6.96711213  14.12356192   7.49060062   1.3454347
## 450    6.64839535   6.96711213  14.12356192   7.49060062   1.3454347
## 451    6.64839535   6.96711213  14.12356192   7.49060062   1.3454347
## 452    6.64839535   6.96711213  14.12356192   7.49060062   1.3454347
## 453    6.64839535   6.96711213  14.12356192   7.49060062   1.3454347
## 454    6.64839535   6.96711213  14.12356192   7.49060062   1.3454347
## 455    6.64839535   6.96711213  14.12356192   7.49060062   1.3454347
## 456    6.64839535   6.96711213  14.12356192   7.49060062   1.3454347
## 457   18.58452188   0.21232985  -7.87437981   5.19709301  -8.4804046
## 458   18.58452188   0.21232985  -7.87437981   5.19709301  -8.4804046
## 459   18.58452188   0.21232985  -7.87437981   5.19709301  -8.4804046
## 460   18.58452188   0.21232985  -7.87437981   5.19709301  -8.4804046
## 461   18.58452188   0.21232985  -7.87437981   5.19709301  -8.4804046
## 462   18.58452188   0.21232985  -7.87437981   5.19709301  -8.4804046
## 463   18.58452188   0.21232985  -7.87437981   5.19709301  -8.4804046
## 464   18.58452188   0.21232985  -7.87437981   5.19709301  -8.4804046
## 465  -48.30821236   4.49087847   1.85652122   3.37415741   2.3496422
## 466  -48.30821236   4.49087847   1.85652122   3.37415741   2.3496422
## 467  -48.30821236   4.49087847   1.85652122   3.37415741   2.3496422
## 468  -48.30821236   4.49087847   1.85652122   3.37415741   2.3496422
## 469  -48.30821236   4.49087847   1.85652122   3.37415741   2.3496422
## 470  -48.30821236   4.49087847   1.85652122   3.37415741   2.3496422
## 471  -48.30821236   4.49087847   1.85652122   3.37415741   2.3496422
## 472  -48.30821236   4.49087847   1.85652122   3.37415741   2.3496422
## 473    3.25792064  -9.00819971  -2.26864081   0.57336585  -8.1086252
## 474    3.25792064  -9.00819971  -2.26864081   0.57336585  -8.1086252
## 475    3.25792064  -9.00819971  -2.26864081   0.57336585  -8.1086252
## 476    3.25792064  -9.00819971  -2.26864081   0.57336585  -8.1086252
## 477    3.25792064  -9.00819971  -2.26864081   0.57336585  -8.1086252
## 478    3.25792064  -9.00819971  -2.26864081   0.57336585  -8.1086252
## 479    3.25792064  -9.00819971  -2.26864081   0.57336585  -8.1086252
## 480    3.25792064  -9.00819971  -2.26864081   0.57336585  -8.1086252
## 481    4.25800435   5.76998168  -6.38090789  -3.41882435 -27.9779916
## 482    4.25800435   5.76998168  -6.38090789  -3.41882435 -27.9779916
## 483    4.25800435   5.76998168  -6.38090789  -3.41882435 -27.9779916
## 484    4.25800435   5.76998168  -6.38090789  -3.41882435 -27.9779916
## 485    4.25800435   5.76998168  -6.38090789  -3.41882435 -27.9779916
## 486    4.25800435   5.76998168  -6.38090789  -3.41882435 -27.9779916
## 487    4.25800435   5.76998168  -6.38090789  -3.41882435 -27.9779916
## 488    4.25800435   5.76998168  -6.38090789  -3.41882435 -27.9779916
## 489   -2.26565160  -7.67974298   1.06117259   3.20596322  27.1936876
## 490   -2.26565160  -7.67974298   1.06117259   3.20596322  27.1936876
## 491   -2.26565160  -7.67974298   1.06117259   3.20596322  27.1936876
## 492   -2.26565160  -7.67974298   1.06117259   3.20596322  27.1936876
## 493   -2.26565160  -7.67974298   1.06117259   3.20596322  27.1936876
## 494   -2.26565160  -7.67974298   1.06117259   3.20596322  27.1936876
## 495   -2.26565160  -7.67974298   1.06117259   3.20596322  27.1936876
## 496   -2.26565160  -7.67974298   1.06117259   3.20596322  27.1936876
## 497   -4.64347078  -0.36697351  -4.08777880   3.89811493   2.9203196
## 498   -4.64347078  -0.36697351  -4.08777880   3.89811493   2.9203196
## 499   -4.64347078  -0.36697351  -4.08777880   3.89811493   2.9203196
## 500   -4.64347078  -0.36697351  -4.08777880   3.89811493   2.9203196
## 501   -4.64347078  -0.36697351  -4.08777880   3.89811493   2.9203196
## 502   -4.64347078  -0.36697351  -4.08777880   3.89811493   2.9203196
## 503   -4.64347078  -0.36697351  -4.08777880   3.89811493   2.9203196
## 504   -4.64347078  -0.36697351  -4.08777880   3.89811493   2.9203196
## 505   -0.21227578   1.05984303  -0.24575004  -5.32994653  -6.0725074
## 506   -0.21227578   1.05984303  -0.24575004  -5.32994653  -6.0725074
## 507   -0.21227578   1.05984303  -0.24575004  -5.32994653  -6.0725074
## 508   -0.21227578   1.05984303  -0.24575004  -5.32994653  -6.0725074
## 509   -0.21227578   1.05984303  -0.24575004  -5.32994653  -6.0725074
## 510   -0.21227578   1.05984303  -0.24575004  -5.32994653  -6.0725074
## 511   -0.21227578   1.05984303  -0.24575004  -5.32994653  -6.0725074
## 512   -0.21227578   1.05984303  -0.24575004  -5.32994653  -6.0725074
## 513   -2.66489121  41.44019929  -4.46560126  -2.99913964   0.8380826
## 514   -2.66489121  41.44019929  -4.46560126  -2.99913964   0.8380826
## 515   -2.66489121  41.44019929  -4.46560126  -2.99913964   0.8380826
## 516   -2.66489121  41.44019929  -4.46560126  -2.99913964   0.8380826
## 517   -2.66489121  41.44019929  -4.46560126  -2.99913964   0.8380826
## 518   -2.66489121  41.44019929  -4.46560126  -2.99913964   0.8380826
## 519   -2.66489121  41.44019929  -4.46560126  -2.99913964   0.8380826
## 520   -2.66489121  41.44019929  -4.46560126  -2.99913964   0.8380826
## 521    3.49128142  20.19861173   0.60827613  -4.68332830  -2.7598201
## 522    3.49128142  20.19861173   0.60827613  -4.68332830  -2.7598201
## 523    3.49128142  20.19861173   0.60827613  -4.68332830  -2.7598201
## 524    3.49128142  20.19861173   0.60827613  -4.68332830  -2.7598201
## 525    3.49128142  20.19861173   0.60827613  -4.68332830  -2.7598201
## 526    3.49128142  20.19861173   0.60827613  -4.68332830  -2.7598201
## 527    3.49128142  20.19861173   0.60827613  -4.68332830  -2.7598201
## 528    3.49128142  20.19861173   0.60827613  -4.68332830  -2.7598201
## 529    0.17945315 -16.93234552   6.14221897  -3.81458057  -4.1684675
## 530    0.17945315 -16.93234552   6.14221897  -3.81458057  -4.1684675
## 531    0.17945315 -16.93234552   6.14221897  -3.81458057  -4.1684675
## 532    0.17945315 -16.93234552   6.14221897  -3.81458057  -4.1684675
## 533    0.17945315 -16.93234552   6.14221897  -3.81458057  -4.1684675
## 534    0.17945315 -16.93234552   6.14221897  -3.81458057  -4.1684675
## 535    0.17945315 -16.93234552   6.14221897  -3.81458057  -4.1684675
## 536    0.17945315 -16.93234552   6.14221897  -3.81458057  -4.1684675
## 537  -28.35394768   1.50324990  -5.89515376 -12.07532749   6.8477308
## 538  -28.35394768   1.50324990  -5.89515376 -12.07532749   6.8477308
## 539  -28.35394768   1.50324990  -5.89515376 -12.07532749   6.8477308
## 540  -28.35394768   1.50324990  -5.89515376 -12.07532749   6.8477308
## 541  -28.35394768   1.50324990  -5.89515376 -12.07532749   6.8477308
## 542  -28.35394768   1.50324990  -5.89515376 -12.07532749   6.8477308
## 543  -28.35394768   1.50324990  -5.89515376 -12.07532749   6.8477308
## 544  -28.35394768   1.50324990  -5.89515376 -12.07532749   6.8477308
## 545   -1.78440245   2.73580312  -0.62956904   4.16109053   5.0163324
## 546   -1.78440245   2.73580312  -0.62956904   4.16109053   5.0163324
## 547   -1.78440245   2.73580312  -0.62956904   4.16109053   5.0163324
## 548   -1.78440245   2.73580312  -0.62956904   4.16109053   5.0163324
## 549   -1.78440245   2.73580312  -0.62956904   4.16109053   5.0163324
## 550   -1.78440245   2.73580312  -0.62956904   4.16109053   5.0163324
## 551   -1.78440245   2.73580312  -0.62956904   4.16109053   5.0163324
## 552   -1.78440245   2.73580312  -0.62956904   4.16109053   5.0163324
## 553   10.34734651   1.94369024  -1.00036212   1.09476711  -6.0835651
## 554   10.34734651   1.94369024  -1.00036212   1.09476711  -6.0835651
## 555   10.34734651   1.94369024  -1.00036212   1.09476711  -6.0835651
## 556   10.34734651   1.94369024  -1.00036212   1.09476711  -6.0835651
## 557   10.34734651   1.94369024  -1.00036212   1.09476711  -6.0835651
## 558   10.34734651   1.94369024  -1.00036212   1.09476711  -6.0835651
## 559   10.34734651   1.94369024  -1.00036212   1.09476711  -6.0835651
## 560   10.34734651   1.94369024  -1.00036212   1.09476711  -6.0835651
## 561   -2.28707210   3.66235818  42.63226101   9.66599259  -1.5205421
## 562   -2.28707210   3.66235818  42.63226101   9.66599259  -1.5205421
## 563   -2.28707210   3.66235818  42.63226101   9.66599259  -1.5205421
## 564   -2.28707210   3.66235818  42.63226101   9.66599259  -1.5205421
## 565   -2.28707210   3.66235818  42.63226101   9.66599259  -1.5205421
## 566   -2.28707210   3.66235818  42.63226101   9.66599259  -1.5205421
## 567   -2.28707210   3.66235818  42.63226101   9.66599259  -1.5205421
## 568   -2.28707210   3.66235818  42.63226101   9.66599259  -1.5205421
## 569   -1.88680696   1.43828060  -6.88851660  -2.75717576  -0.9789115
## 570   -1.88680696   1.43828060  -6.88851660  -2.75717576  -0.9789115
## 571   -1.88680696   1.43828060  -6.88851660  -2.75717576  -0.9789115
## 572   -1.88680696   1.43828060  -6.88851660  -2.75717576  -0.9789115
## 573   -1.88680696   1.43828060  -6.88851660  -2.75717576  -0.9789115
## 574   -1.88680696   1.43828060  -6.88851660  -2.75717576  -0.9789115
## 575   -1.88680696   1.43828060  -6.88851660  -2.75717576  -0.9789115
## 576   -1.88680696   1.43828060  -6.88851660  -2.75717576  -0.9789115
## 577   13.93557397  -2.56751999  -4.87882121  40.87706828   1.6183021
## 578   13.93557397  -2.56751999  -4.87882121  40.87706828   1.6183021
## 579   13.93557397  -2.56751999  -4.87882121  40.87706828   1.6183021
## 580   13.93557397  -2.56751999  -4.87882121  40.87706828   1.6183021
## 581   13.93557397  -2.56751999  -4.87882121  40.87706828   1.6183021
## 582   13.93557397  -2.56751999  -4.87882121  40.87706828   1.6183021
## 583   13.93557397  -2.56751999  -4.87882121  40.87706828   1.6183021
## 584   13.93557397  -2.56751999  -4.87882121  40.87706828   1.6183021
## 585   -3.89914680   1.44931740  -4.45217525   4.51236321 -16.2344203
## 586   -3.89914680   1.44931740  -4.45217525   4.51236321 -16.2344203
## 587   -3.89914680   1.44931740  -4.45217525   4.51236321 -16.2344203
## 588   -3.89914680   1.44931740  -4.45217525   4.51236321 -16.2344203
## 589   -3.89914680   1.44931740  -4.45217525   4.51236321 -16.2344203
## 590   -3.89914680   1.44931740  -4.45217525   4.51236321 -16.2344203
## 591   -3.89914680   1.44931740  -4.45217525   4.51236321 -16.2344203
## 592   -3.89914680   1.44931740  -4.45217525   4.51236321 -16.2344203
## 593    1.40564074   5.58195005   5.24508412   3.79687341  31.7431572
## 594    1.40564074   5.58195005   5.24508412   3.79687341  31.7431572
## 595    1.40564074   5.58195005   5.24508412   3.79687341  31.7431572
## 596    1.40564074   5.58195005   5.24508412   3.79687341  31.7431572
## 597    1.40564074   5.58195005   5.24508412   3.79687341  31.7431572
## 598    1.40564074   5.58195005   5.24508412   3.79687341  31.7431572
## 599    1.40564074   5.58195005   5.24508412   3.79687341  31.7431572
## 600    1.40564074   5.58195005   5.24508412   3.79687341  31.7431572
## 601   15.01829310  -6.90853957  -0.06959140  37.12346610   3.4964704
## 602   15.01829310  -6.90853957  -0.06959140  37.12346610   3.4964704
## 603   15.01829310  -6.90853957  -0.06959140  37.12346610   3.4964704
## 604   15.01829310  -6.90853957  -0.06959140  37.12346610   3.4964704
## 605   15.01829310  -6.90853957  -0.06959140  37.12346610   3.4964704
## 606   15.01829310  -6.90853957  -0.06959140  37.12346610   3.4964704
## 607   15.01829310  -6.90853957  -0.06959140  37.12346610   3.4964704
## 608   15.01829310  -6.90853957  -0.06959140  37.12346610   3.4964704
## 609   11.20317817   0.84903306  -5.32804970   3.36836123   0.6151626
## 610   11.20317817   0.84903306  -5.32804970   3.36836123   0.6151626
## 611   11.20317817   0.84903306  -5.32804970   3.36836123   0.6151626
## 612   11.20317817   0.84903306  -5.32804970   3.36836123   0.6151626
## 613   11.20317817   0.84903306  -5.32804970   3.36836123   0.6151626
## 614   11.20317817   0.84903306  -5.32804970   3.36836123   0.6151626
## 615   11.20317817   0.84903306  -5.32804970   3.36836123   0.6151626
## 616   11.20317817   0.84903306  -5.32804970   3.36836123   0.6151626
## 617    3.81578096   3.04991163  19.66877266  -3.49222013  -1.7974726
## 618    3.81578096   3.04991163  19.66877266  -3.49222013  -1.7974726
## 619    3.81578096   3.04991163  19.66877266  -3.49222013  -1.7974726
## 620    3.81578096   3.04991163  19.66877266  -3.49222013  -1.7974726
## 621    3.81578096   3.04991163  19.66877266  -3.49222013  -1.7974726
## 622    3.81578096   3.04991163  19.66877266  -3.49222013  -1.7974726
## 623    3.81578096   3.04991163  19.66877266  -3.49222013  -1.7974726
## 624    3.81578096   3.04991163  19.66877266  -3.49222013  -1.7974726
## 625   -9.43822553  12.24247748  24.32416929  39.22081470   9.5766167
## 626   -9.43822553  12.24247748  24.32416929  39.22081470   9.5766167
## 627   -9.43822553  12.24247748  24.32416929  39.22081470   9.5766167
## 628   -9.43822553  12.24247748  24.32416929  39.22081470   9.5766167
## 629   -9.43822553  12.24247748  24.32416929  39.22081470   9.5766167
## 630   -9.43822553  12.24247748  24.32416929  39.22081470   9.5766167
## 631   -9.43822553  12.24247748  24.32416929  39.22081470   9.5766167
## 632   -9.43822553  12.24247748  24.32416929  39.22081470   9.5766167
## 633    8.13485906   3.57547148  -8.52201008 -12.67036374   1.7314377
## 634    8.13485906   3.57547148  -8.52201008 -12.67036374   1.7314377
## 635    8.13485906   3.57547148  -8.52201008 -12.67036374   1.7314377
## 636    8.13485906   3.57547148  -8.52201008 -12.67036374   1.7314377
## 637    8.13485906   3.57547148  -8.52201008 -12.67036374   1.7314377
## 638    8.13485906   3.57547148  -8.52201008 -12.67036374   1.7314377
## 639    8.13485906   3.57547148  -8.52201008 -12.67036374   1.7314377
## 640    8.13485906   3.57547148  -8.52201008 -12.67036374   1.7314377
## 641   -5.18041302  -5.55247268   3.38932426   0.26937627 -81.6897978
## 642   -5.18041302  -5.55247268   3.38932426   0.26937627 -81.6897978
## 643   -5.18041302  -5.55247268   3.38932426   0.26937627 -81.6897978
## 644   -5.18041302  -5.55247268   3.38932426   0.26937627 -81.6897978
## 645   -5.18041302  -5.55247268   3.38932426   0.26937627 -81.6897978
## 646   -5.18041302  -5.55247268   3.38932426   0.26937627 -81.6897978
## 647   -5.18041302  -5.55247268   3.38932426   0.26937627 -81.6897978
## 648   -5.18041302  -5.55247268   3.38932426   0.26937627 -81.6897978
## 649   11.78356321   3.62257428 -10.42340651 -33.54030684   3.1761868
## 650   11.78356321   3.62257428 -10.42340651 -33.54030684   3.1761868
## 651   11.78356321   3.62257428 -10.42340651 -33.54030684   3.1761868
## 652   11.78356321   3.62257428 -10.42340651 -33.54030684   3.1761868
## 653   11.78356321   3.62257428 -10.42340651 -33.54030684   3.1761868
## 654   11.78356321   3.62257428 -10.42340651 -33.54030684   3.1761868
## 655   11.78356321   3.62257428 -10.42340651 -33.54030684   3.1761868
## 656   11.78356321   3.62257428 -10.42340651 -33.54030684   3.1761868
## 657    1.44586553  -1.85323271  -4.41906468  -8.03532292   4.0522034
## 658    1.44586553  -1.85323271  -4.41906468  -8.03532292   4.0522034
## 659    1.44586553  -1.85323271  -4.41906468  -8.03532292   4.0522034
## 660    1.44586553  -1.85323271  -4.41906468  -8.03532292   4.0522034
## 661    1.44586553  -1.85323271  -4.41906468  -8.03532292   4.0522034
## 662    1.44586553  -1.85323271  -4.41906468  -8.03532292   4.0522034
## 663    1.44586553  -1.85323271  -4.41906468  -8.03532292   4.0522034
## 664    1.44586553  -1.85323271  -4.41906468  -8.03532292   4.0522034
## 665    1.10750014 -14.43876760  -1.54446389  -1.33898854   2.9889330
## 666    1.10750014 -14.43876760  -1.54446389  -1.33898854   2.9889330
## 667    1.10750014 -14.43876760  -1.54446389  -1.33898854   2.9889330
## 668    1.10750014 -14.43876760  -1.54446389  -1.33898854   2.9889330
## 669    1.10750014 -14.43876760  -1.54446389  -1.33898854   2.9889330
## 670    1.10750014 -14.43876760  -1.54446389  -1.33898854   2.9889330
## 671    1.10750014 -14.43876760  -1.54446389  -1.33898854   2.9889330
## 672    1.10750014 -14.43876760  -1.54446389  -1.33898854   2.9889330
## 673    0.47696493   2.13950064  -0.29616754  -6.37151476   4.1016762
## 674    0.47696493   2.13950064  -0.29616754  -6.37151476   4.1016762
## 675    0.47696493   2.13950064  -0.29616754  -6.37151476   4.1016762
## 676    0.47696493   2.13950064  -0.29616754  -6.37151476   4.1016762
## 677    0.47696493   2.13950064  -0.29616754  -6.37151476   4.1016762
## 678    0.47696493   2.13950064  -0.29616754  -6.37151476   4.1016762
## 679    0.47696493   2.13950064  -0.29616754  -6.37151476   4.1016762
## 680    0.47696493   2.13950064  -0.29616754  -6.37151476   4.1016762
## 681    7.84537768 -31.72046860  -1.31795186  -1.93520351  19.1386568
## 682    7.84537768 -31.72046860  -1.31795186  -1.93520351  19.1386568
## 683    7.84537768 -31.72046860  -1.31795186  -1.93520351  19.1386568
## 684    7.84537768 -31.72046860  -1.31795186  -1.93520351  19.1386568
## 685    7.84537768 -31.72046860  -1.31795186  -1.93520351  19.1386568
## 686    7.84537768 -31.72046860  -1.31795186  -1.93520351  19.1386568
## 687    7.84537768 -31.72046860  -1.31795186  -1.93520351  19.1386568
## 688    7.84537768 -31.72046860  -1.31795186  -1.93520351  19.1386568
## 689    7.73346307   4.15489184  -0.09860047  10.76435998  -1.0207834
## 690    7.73346307   4.15489184  -0.09860047  10.76435998  -1.0207834
## 691    7.73346307   4.15489184  -0.09860047  10.76435998  -1.0207834
## 692    7.73346307   4.15489184  -0.09860047  10.76435998  -1.0207834
## 693    7.73346307   4.15489184  -0.09860047  10.76435998  -1.0207834
## 694    7.73346307   4.15489184  -0.09860047  10.76435998  -1.0207834
## 695    7.73346307   4.15489184  -0.09860047  10.76435998  -1.0207834
## 696    7.73346307   4.15489184  -0.09860047  10.76435998  -1.0207834
## 697   -2.57305608  48.48053428   1.28085372   5.41946731   9.7300937
## 698   -2.57305608  48.48053428   1.28085372   5.41946731   9.7300937
## 699   -2.57305608  48.48053428   1.28085372   5.41946731   9.7300937
## 700   -2.57305608  48.48053428   1.28085372   5.41946731   9.7300937
## 701   -2.57305608  48.48053428   1.28085372   5.41946731   9.7300937
## 702   -2.57305608  48.48053428   1.28085372   5.41946731   9.7300937
## 703   -2.57305608  48.48053428   1.28085372   5.41946731   9.7300937
## 704   -2.57305608  48.48053428   1.28085372   5.41946731   9.7300937
## 705    1.41693270   1.30546843   6.00309870   4.27876491  -1.6723319
## 706    1.41693270   1.30546843   6.00309870   4.27876491  -1.6723319
## 707    1.41693270   1.30546843   6.00309870   4.27876491  -1.6723319
## 708    1.41693270   1.30546843   6.00309870   4.27876491  -1.6723319
## 709    1.41693270   1.30546843   6.00309870   4.27876491  -1.6723319
## 710    1.41693270   1.30546843   6.00309870   4.27876491  -1.6723319
## 711    1.41693270   1.30546843   6.00309870   4.27876491  -1.6723319
## 712    1.41693270   1.30546843   6.00309870   4.27876491  -1.6723319
## 713    2.76935348  -2.91446528 -11.39861108   7.50342563  -3.4938850
## 714    2.76935348  -2.91446528 -11.39861108   7.50342563  -3.4938850
## 715    2.76935348  -2.91446528 -11.39861108   7.50342563  -3.4938850
## 716    2.76935348  -2.91446528 -11.39861108   7.50342563  -3.4938850
## 717    2.76935348  -2.91446528 -11.39861108   7.50342563  -3.4938850
## 718    2.76935348  -2.91446528 -11.39861108   7.50342563  -3.4938850
## 719    2.76935348  -2.91446528 -11.39861108   7.50342563  -3.4938850
## 720    2.76935348  -2.91446528 -11.39861108   7.50342563  -3.4938850
## 721   18.92861520   1.38250386  35.19412980 -56.71891096   0.8288396
## 722   18.92861520   1.38250386  35.19412980 -56.71891096   0.8288396
## 723   18.92861520   1.38250386  35.19412980 -56.71891096   0.8288396
## 724   18.92861520   1.38250386  35.19412980 -56.71891096   0.8288396
## 725   18.92861520   1.38250386  35.19412980 -56.71891096   0.8288396
## 726   18.92861520   1.38250386  35.19412980 -56.71891096   0.8288396
## 727   18.92861520   1.38250386  35.19412980 -56.71891096   0.8288396
## 728   18.92861520   1.38250386  35.19412980 -56.71891096   0.8288396
## 729   -1.67901568   1.27198325  -2.92431938   0.76234969 -11.6345322
## 730   -1.67901568   1.27198325  -2.92431938   0.76234969 -11.6345322
## 731   -1.67901568   1.27198325  -2.92431938   0.76234969 -11.6345322
## 732   -1.67901568   1.27198325  -2.92431938   0.76234969 -11.6345322
## 733   -1.67901568   1.27198325  -2.92431938   0.76234969 -11.6345322
## 734   -1.67901568   1.27198325  -2.92431938   0.76234969 -11.6345322
## 735   -1.67901568   1.27198325  -2.92431938   0.76234969 -11.6345322
## 736   -1.67901568   1.27198325  -2.92431938   0.76234969 -11.6345322
## 737   12.96180992   3.86782951 -26.52750482  20.94253557  -1.0427829
## 738   12.96180992   3.86782951 -26.52750482  20.94253557  -1.0427829
## 739   12.96180992   3.86782951 -26.52750482  20.94253557  -1.0427829
## 740   12.96180992   3.86782951 -26.52750482  20.94253557  -1.0427829
## 741   12.96180992   3.86782951 -26.52750482  20.94253557  -1.0427829
## 742   12.96180992   3.86782951 -26.52750482  20.94253557  -1.0427829
## 743   12.96180992   3.86782951 -26.52750482  20.94253557  -1.0427829
## 744   12.96180992   3.86782951 -26.52750482  20.94253557  -1.0427829
## 745    2.80184731   8.73994375  -1.78581664   0.87886204   3.5497652
## 746    2.80184731   8.73994375  -1.78581664   0.87886204   3.5497652
## 747    2.80184731   8.73994375  -1.78581664   0.87886204   3.5497652
## 748    2.80184731   8.73994375  -1.78581664   0.87886204   3.5497652
## 749    2.80184731   8.73994375  -1.78581664   0.87886204   3.5497652
## 750    2.80184731   8.73994375  -1.78581664   0.87886204   3.5497652
## 751    2.80184731   8.73994375  -1.78581664   0.87886204   3.5497652
## 752    2.80184731   8.73994375  -1.78581664   0.87886204   3.5497652
## 753    4.64981937   3.56120823  24.82390803  -7.76979324   4.2858441
## 754    4.64981937   3.56120823  24.82390803  -7.76979324   4.2858441
## 755    4.64981937   3.56120823  24.82390803  -7.76979324   4.2858441
## 756    4.64981937   3.56120823  24.82390803  -7.76979324   4.2858441
## 757    4.64981937   3.56120823  24.82390803  -7.76979324   4.2858441
## 758    4.64981937   3.56120823  24.82390803  -7.76979324   4.2858441
## 759    4.64981937   3.56120823  24.82390803  -7.76979324   4.2858441
## 760    4.64981937   3.56120823  24.82390803  -7.76979324   4.2858441
## 761    3.21991661  -1.06442912 -36.53953342 -28.95795389   4.0190066
## 762    3.21991661  -1.06442912 -36.53953342 -28.95795389   4.0190066
## 763    3.21991661  -1.06442912 -36.53953342 -28.95795389   4.0190066
## 764    3.21991661  -1.06442912 -36.53953342 -28.95795389   4.0190066
## 765    3.21991661  -1.06442912 -36.53953342 -28.95795389   4.0190066
## 766    3.21991661  -1.06442912 -36.53953342 -28.95795389   4.0190066
## 767    3.21991661  -1.06442912 -36.53953342 -28.95795389   4.0190066
## 768    3.21991661  -1.06442912 -36.53953342 -28.95795389   4.0190066
## 769    6.62543214  -2.36392073  -3.65316151  -0.80937765   1.1132676
## 770    6.62543214  -2.36392073  -3.65316151  -0.80937765   1.1132676
## 771    6.62543214  -2.36392073  -3.65316151  -0.80937765   1.1132676
## 772    6.62543214  -2.36392073  -3.65316151  -0.80937765   1.1132676
## 773    6.62543214  -2.36392073  -3.65316151  -0.80937765   1.1132676
## 774    6.62543214  -2.36392073  -3.65316151  -0.80937765   1.1132676
## 775    6.62543214  -2.36392073  -3.65316151  -0.80937765   1.1132676
## 776    6.62543214  -2.36392073  -3.65316151  -0.80937765   1.1132676
## 777   -9.25343907  -5.68150764   0.78902486   2.90358078   0.5317716
## 778   -9.25343907  -5.68150764   0.78902486   2.90358078   0.5317716
## 779   -9.25343907  -5.68150764   0.78902486   2.90358078   0.5317716
## 780   -9.25343907  -5.68150764   0.78902486   2.90358078   0.5317716
## 781   -9.25343907  -5.68150764   0.78902486   2.90358078   0.5317716
## 782   -9.25343907  -5.68150764   0.78902486   2.90358078   0.5317716
## 783   -9.25343907  -5.68150764   0.78902486   2.90358078   0.5317716
## 784   -9.25343907  -5.68150764   0.78902486   2.90358078   0.5317716
## 785   -0.98502034  -4.58421969  -0.62608614   2.91815883  -2.5960089
## 786   -0.98502034  -4.58421969  -0.62608614   2.91815883  -2.5960089
## 787   -0.98502034  -4.58421969  -0.62608614   2.91815883  -2.5960089
## 788   -0.98502034  -4.58421969  -0.62608614   2.91815883  -2.5960089
## 789   -0.98502034  -4.58421969  -0.62608614   2.91815883  -2.5960089
## 790   -0.98502034  -4.58421969  -0.62608614   2.91815883  -2.5960089
## 791   -0.98502034  -4.58421969  -0.62608614   2.91815883  -2.5960089
## 792   -0.98502034  -4.58421969  -0.62608614   2.91815883  -2.5960089
## 793  -12.40195054 -17.17907956  -4.19372856   7.92582671   4.0225716
## 794  -12.40195054 -17.17907956  -4.19372856   7.92582671   4.0225716
## 795  -12.40195054 -17.17907956  -4.19372856   7.92582671   4.0225716
## 796  -12.40195054 -17.17907956  -4.19372856   7.92582671   4.0225716
## 797  -12.40195054 -17.17907956  -4.19372856   7.92582671   4.0225716
## 798  -12.40195054 -17.17907956  -4.19372856   7.92582671   4.0225716
## 799  -12.40195054 -17.17907956  -4.19372856   7.92582671   4.0225716
## 800  -12.40195054 -17.17907956  -4.19372856   7.92582671   4.0225716
## 801    6.95508800   7.90601388   4.80010108   4.13446388   3.2482744
## 802    6.95508800   7.90601388   4.80010108   4.13446388   3.2482744
## 803    6.95508800   7.90601388   4.80010108   4.13446388   3.2482744
## 804    6.95508800   7.90601388   4.80010108   4.13446388   3.2482744
## 805    6.95508800   7.90601388   4.80010108   4.13446388   3.2482744
## 806    6.95508800   7.90601388   4.80010108   4.13446388   3.2482744
## 807    6.95508800   7.90601388   4.80010108   4.13446388   3.2482744
## 808    6.95508800   7.90601388   4.80010108   4.13446388   3.2482744
## 809    0.73024490   6.79402489  18.51043817 -28.89984249   4.7687071
## 810    0.73024490   6.79402489  18.51043817 -28.89984249   4.7687071
## 811    0.73024490   6.79402489  18.51043817 -28.89984249   4.7687071
## 812    0.73024490   6.79402489  18.51043817 -28.89984249   4.7687071
## 813    0.73024490   6.79402489  18.51043817 -28.89984249   4.7687071
## 814    0.73024490   6.79402489  18.51043817 -28.89984249   4.7687071
## 815    0.73024490   6.79402489  18.51043817 -28.89984249   4.7687071
## 816    0.73024490   6.79402489  18.51043817 -28.89984249   4.7687071
## 817    0.71039863   2.11807924   1.06544260  -1.63194157   1.2722983
## 818    0.71039863   2.11807924   1.06544260  -1.63194157   1.2722983
## 819    0.71039863   2.11807924   1.06544260  -1.63194157   1.2722983
## 820    0.71039863   2.11807924   1.06544260  -1.63194157   1.2722983
## 821    0.71039863   2.11807924   1.06544260  -1.63194157   1.2722983
## 822    0.71039863   2.11807924   1.06544260  -1.63194157   1.2722983
## 823    0.71039863   2.11807924   1.06544260  -1.63194157   1.2722983
## 824    0.71039863   2.11807924   1.06544260  -1.63194157   1.2722983
## 825    5.78656018  11.59226931  -2.84030801  -2.46567560  -6.3002408
## 826    5.78656018  11.59226931  -2.84030801  -2.46567560  -6.3002408
## 827    5.78656018  11.59226931  -2.84030801  -2.46567560  -6.3002408
## 828    5.78656018  11.59226931  -2.84030801  -2.46567560  -6.3002408
## 829    5.78656018  11.59226931  -2.84030801  -2.46567560  -6.3002408
## 830    5.78656018  11.59226931  -2.84030801  -2.46567560  -6.3002408
## 831    5.78656018  11.59226931  -2.84030801  -2.46567560  -6.3002408
## 832    5.78656018  11.59226931  -2.84030801  -2.46567560  -6.3002408
## 833    9.49910237   5.20097993  -5.87172962   4.37382315  -1.3006277
## 834    9.49910237   5.20097993  -5.87172962   4.37382315  -1.3006277
## 835    9.49910237   5.20097993  -5.87172962   4.37382315  -1.3006277
## 836    9.49910237   5.20097993  -5.87172962   4.37382315  -1.3006277
## 837    9.49910237   5.20097993  -5.87172962   4.37382315  -1.3006277
## 838    9.49910237   5.20097993  -5.87172962   4.37382315  -1.3006277
## 839    9.49910237   5.20097993  -5.87172962   4.37382315  -1.3006277
## 840    9.49910237   5.20097993  -5.87172962   4.37382315  -1.3006277
## 841  -45.88588632  12.61228112   7.60156606  -0.51979615  -2.5110772
## 842  -45.88588632  12.61228112   7.60156606  -0.51979615  -2.5110772
## 843  -45.88588632  12.61228112   7.60156606  -0.51979615  -2.5110772
## 844  -45.88588632  12.61228112   7.60156606  -0.51979615  -2.5110772
## 845  -45.88588632  12.61228112   7.60156606  -0.51979615  -2.5110772
## 846  -45.88588632  12.61228112   7.60156606  -0.51979615  -2.5110772
## 847  -45.88588632  12.61228112   7.60156606  -0.51979615  -2.5110772
## 848  -45.88588632  12.61228112   7.60156606  -0.51979615  -2.5110772
## 849    2.89028200 -49.30503928  11.83453535   0.49705086  -2.7740715
## 850    2.89028200 -49.30503928  11.83453535   0.49705086  -2.7740715
## 851    2.89028200 -49.30503928  11.83453535   0.49705086  -2.7740715
## 852    2.89028200 -49.30503928  11.83453535   0.49705086  -2.7740715
## 853    2.89028200 -49.30503928  11.83453535   0.49705086  -2.7740715
## 854    2.89028200 -49.30503928  11.83453535   0.49705086  -2.7740715
## 855    2.89028200 -49.30503928  11.83453535   0.49705086  -2.7740715
## 856    2.89028200 -49.30503928  11.83453535   0.49705086  -2.7740715
## 857   -2.35077695  35.08395999  -0.23446130  -2.14681516   3.7450367
## 858   -2.35077695  35.08395999  -0.23446130  -2.14681516   3.7450367
## 859   -2.35077695  35.08395999  -0.23446130  -2.14681516   3.7450367
## 860   -2.35077695  35.08395999  -0.23446130  -2.14681516   3.7450367
## 861   -2.35077695  35.08395999  -0.23446130  -2.14681516   3.7450367
## 862   -2.35077695  35.08395999  -0.23446130  -2.14681516   3.7450367
## 863   -2.35077695  35.08395999  -0.23446130  -2.14681516   3.7450367
## 864   -2.35077695  35.08395999  -0.23446130  -2.14681516   3.7450367
## 865   -0.04939754  -0.59502144   0.90793835  -0.96892695   2.7000736
## 866   -0.04939754  -0.59502144   0.90793835  -0.96892695   2.7000736
## 867   -0.04939754  -0.59502144   0.90793835  -0.96892695   2.7000736
## 868   -0.04939754  -0.59502144   0.90793835  -0.96892695   2.7000736
## 869   -0.04939754  -0.59502144   0.90793835  -0.96892695   2.7000736
## 870   -0.04939754  -0.59502144   0.90793835  -0.96892695   2.7000736
## 871   -0.04939754  -0.59502144   0.90793835  -0.96892695   2.7000736
## 872   -0.04939754  -0.59502144   0.90793835  -0.96892695   2.7000736
## 873   -4.01100565  -7.79165986   0.35078826   6.84916815  17.1615860
## 874   -4.01100565  -7.79165986   0.35078826   6.84916815  17.1615860
## 875   -4.01100565  -7.79165986   0.35078826   6.84916815  17.1615860
## 876   -4.01100565  -7.79165986   0.35078826   6.84916815  17.1615860
## 877   -4.01100565  -7.79165986   0.35078826   6.84916815  17.1615860
## 878   -4.01100565  -7.79165986   0.35078826   6.84916815  17.1615860
## 879   -4.01100565  -7.79165986   0.35078826   6.84916815  17.1615860
## 880   -4.01100565  -7.79165986   0.35078826   6.84916815  17.1615860
## 881    7.05189922  -1.63532901   1.74133556   2.75963141   3.3749419
## 882    7.05189922  -1.63532901   1.74133556   2.75963141   3.3749419
## 883    7.05189922  -1.63532901   1.74133556   2.75963141   3.3749419
## 884    7.05189922  -1.63532901   1.74133556   2.75963141   3.3749419
## 885    7.05189922  -1.63532901   1.74133556   2.75963141   3.3749419
## 886    7.05189922  -1.63532901   1.74133556   2.75963141   3.3749419
## 887    7.05189922  -1.63532901   1.74133556   2.75963141   3.3749419
## 888    7.05189922  -1.63532901   1.74133556   2.75963141   3.3749419
## 889   -5.07950684   8.28619148 -39.79909173  -6.44477166  -2.1208938
## 890   -5.07950684   8.28619148 -39.79909173  -6.44477166  -2.1208938
## 891   -5.07950684   8.28619148 -39.79909173  -6.44477166  -2.1208938
## 892   -5.07950684   8.28619148 -39.79909173  -6.44477166  -2.1208938
## 893   -5.07950684   8.28619148 -39.79909173  -6.44477166  -2.1208938
## 894   -5.07950684   8.28619148 -39.79909173  -6.44477166  -2.1208938
## 895   -5.07950684   8.28619148 -39.79909173  -6.44477166  -2.1208938
## 896   -5.07950684   8.28619148 -39.79909173  -6.44477166  -2.1208938
## 897   -0.34825719  -5.58025219  -0.23471641   1.40153611  -9.2129378
## 898   -0.34825719  -5.58025219  -0.23471641   1.40153611  -9.2129378
## 899   -0.34825719  -5.58025219  -0.23471641   1.40153611  -9.2129378
## 900   -0.34825719  -5.58025219  -0.23471641   1.40153611  -9.2129378
## 901   -0.34825719  -5.58025219  -0.23471641   1.40153611  -9.2129378
## 902   -0.34825719  -5.58025219  -0.23471641   1.40153611  -9.2129378
## 903   -0.34825719  -5.58025219  -0.23471641   1.40153611  -9.2129378
## 904   -0.34825719  -5.58025219  -0.23471641   1.40153611  -9.2129378
## 905    8.01647784  -7.25547771   4.11003672   1.89917942   2.7388618
## 906    8.01647784  -7.25547771   4.11003672   1.89917942   2.7388618
## 907    8.01647784  -7.25547771   4.11003672   1.89917942   2.7388618
## 908    8.01647784  -7.25547771   4.11003672   1.89917942   2.7388618
## 909    8.01647784  -7.25547771   4.11003672   1.89917942   2.7388618
## 910    8.01647784  -7.25547771   4.11003672   1.89917942   2.7388618
## 911    8.01647784  -7.25547771   4.11003672   1.89917942   2.7388618
## 912    8.01647784  -7.25547771   4.11003672   1.89917942   2.7388618
## 913   -1.69288872   1.03877301   1.62092147  -0.42291988 -11.6830491
## 914   -1.69288872   1.03877301   1.62092147  -0.42291988 -11.6830491
## 915   -1.69288872   1.03877301   1.62092147  -0.42291988 -11.6830491
## 916   -1.69288872   1.03877301   1.62092147  -0.42291988 -11.6830491
## 917   -1.69288872   1.03877301   1.62092147  -0.42291988 -11.6830491
## 918   -6.18525383  -0.65589390   4.68880669  -2.23464762  -1.5378456
## 919   -6.18525383  -0.65589390   4.68880669  -2.23464762  -1.5378456
## 920   -6.18525383  -0.65589390   4.68880669  -2.23464762  -1.5378456
## 921   -6.18525383  -0.65589390   4.68880669  -2.23464762  -1.5378456
## 922   -6.18525383  -0.65589390   4.68880669  -2.23464762  -1.5378456
## 923            NA           NA           NA           NA          NA
## 924            NA           NA           NA           NA          NA
## 925            NA           NA           NA           NA          NA
## 926            NA           NA           NA           NA          NA
## 927            NA           NA           NA           NA          NA
## 928            NA           NA           NA           NA          NA
## 929            NA           NA           NA           NA          NA
## 930            NA           NA           NA           NA          NA
## 931            NA           NA           NA           NA          NA
## 932            NA           NA           NA           NA          NA
## 933            NA           NA           NA           NA          NA
## 934            NA           NA           NA           NA          NA
## 935            NA           NA           NA           NA          NA
## 936            NA           NA           NA           NA          NA
## 937            NA           NA           NA           NA          NA
## 938   -2.92565780   7.47111790   7.03397372 -23.02079817  -4.2246816
## 939   -2.92565780   7.47111790   7.03397372 -23.02079817  -4.2246816
## 940   -2.92565780   7.47111790   7.03397372 -23.02079817  -4.2246816
## 941   -2.92565780   7.47111790   7.03397372 -23.02079817  -4.2246816
## 942   -2.92565780   7.47111790   7.03397372 -23.02079817  -4.2246816
## 943            NA           NA           NA           NA          NA
## 944            NA           NA           NA           NA          NA
## 945            NA           NA           NA           NA          NA
## 946            NA           NA           NA           NA          NA
## 947            NA           NA           NA           NA          NA
## 948            NA           NA           NA           NA          NA
## 949            NA           NA           NA           NA          NA
## 950            NA           NA           NA           NA          NA
## 951            NA           NA           NA           NA          NA
## 952            NA           NA           NA           NA          NA
## 953  -16.36031286  -5.16109048 -16.30603843   7.49768023   0.7201179
## 954  -16.36031286  -5.16109048 -16.30603843   7.49768023   0.7201179
## 955  -16.36031286  -5.16109048 -16.30603843   7.49768023   0.7201179
## 956  -16.36031286  -5.16109048 -16.30603843   7.49768023   0.7201179
## 957  -16.36031286  -5.16109048 -16.30603843   7.49768023   0.7201179
## 958   -5.57829293  -0.03294768   0.66592925   4.60354836   1.8743781
## 959   -5.57829293  -0.03294768   0.66592925   4.60354836   1.8743781
## 960   -5.57829293  -0.03294768   0.66592925   4.60354836   1.8743781
## 961   -5.57829293  -0.03294768   0.66592925   4.60354836   1.8743781
## 962   -5.57829293  -0.03294768   0.66592925   4.60354836   1.8743781
## 963            NA           NA           NA           NA          NA
## 964            NA           NA           NA           NA          NA
## 965            NA           NA           NA           NA          NA
## 966            NA           NA           NA           NA          NA
## 967            NA           NA           NA           NA          NA
## 968            NA           NA           NA           NA          NA
## 969            NA           NA           NA           NA          NA
## 970            NA           NA           NA           NA          NA
## 971            NA           NA           NA           NA          NA
## 972            NA           NA           NA           NA          NA
## 973  -11.76454607  57.20013733  -6.37644294   1.89986116  16.1807545
## 974  -11.76454607  57.20013733  -6.37644294   1.89986116  16.1807545
## 975  -11.76454607  57.20013733  -6.37644294   1.89986116  16.1807545
## 976  -11.76454607  57.20013733  -6.37644294   1.89986116  16.1807545
## 977  -11.76454607  57.20013733  -6.37644294   1.89986116  16.1807545
## 978   46.94230797 -26.15950520  14.85303722   9.57292501   8.3009268
## 979   46.94230797 -26.15950520  14.85303722   9.57292501   8.3009268
## 980   46.94230797 -26.15950520  14.85303722   9.57292501   8.3009268
## 981   46.94230797 -26.15950520  14.85303722   9.57292501   8.3009268
## 982   46.94230797 -26.15950520  14.85303722   9.57292501   8.3009268
## 983            NA           NA           NA           NA          NA
## 984            NA           NA           NA           NA          NA
## 985            NA           NA           NA           NA          NA
## 986            NA           NA           NA           NA          NA
## 987            NA           NA           NA           NA          NA
## 988            NA           NA           NA           NA          NA
## 989            NA           NA           NA           NA          NA
## 990            NA           NA           NA           NA          NA
## 991            NA           NA           NA           NA          NA
## 992            NA           NA           NA           NA          NA
## 993    8.61648748  -7.09351798  -1.23562352   6.42796878  55.1908957
## 994    8.61648748  -7.09351798  -1.23562352   6.42796878  55.1908957
## 995    8.61648748  -7.09351798  -1.23562352   6.42796878  55.1908957
## 996    8.61648748  -7.09351798  -1.23562352   6.42796878  55.1908957
## 997    8.61648748  -7.09351798  -1.23562352   6.42796878  55.1908957
## 998            NA           NA           NA           NA          NA
## 999            NA           NA           NA           NA          NA
## 1000           NA           NA           NA           NA          NA
## 1001           NA           NA           NA           NA          NA
## 1002           NA           NA           NA           NA          NA
## 1003           NA           NA           NA           NA          NA
## 1004           NA           NA           NA           NA          NA
## 1005           NA           NA           NA           NA          NA
## 1006           NA           NA           NA           NA          NA
## 1007           NA           NA           NA           NA          NA
## 1008  18.45935353  -1.49291398   8.14839297 -22.88545932   6.9645376
## 1009  18.45935353  -1.49291398   8.14839297 -22.88545932   6.9645376
## 1010  18.45935353  -1.49291398   8.14839297 -22.88545932   6.9645376
## 1011  18.45935353  -1.49291398   8.14839297 -22.88545932   6.9645376
## 1012  18.45935353  -1.49291398   8.14839297 -22.88545932   6.9645376
## 1013   2.26344132  -2.23902648   0.07372078  -5.19000083  14.0649386
## 1014   2.26344132  -2.23902648   0.07372078  -5.19000083  14.0649386
## 1015   2.26344132  -2.23902648   0.07372078  -5.19000083  14.0649386
## 1016   2.26344132  -2.23902648   0.07372078  -5.19000083  14.0649386
## 1017   2.26344132  -2.23902648   0.07372078  -5.19000083  14.0649386
## 1018   7.49904733  -1.53615450   3.93393824  -2.58240785  -0.3127779
## 1019   7.49904733  -1.53615450   3.93393824  -2.58240785  -0.3127779
## 1020   7.49904733  -1.53615450   3.93393824  -2.58240785  -0.3127779
## 1021   7.49904733  -1.53615450   3.93393824  -2.58240785  -0.3127779
## 1022   7.49904733  -1.53615450   3.93393824  -2.58240785  -0.3127779
## 1023           NA           NA           NA           NA          NA
## 1024           NA           NA           NA           NA          NA
## 1025           NA           NA           NA           NA          NA
## 1026           NA           NA           NA           NA          NA
## 1027           NA           NA           NA           NA          NA
## 1028           NA           NA           NA           NA          NA
## 1029           NA           NA           NA           NA          NA
## 1030           NA           NA           NA           NA          NA
## 1031           NA           NA           NA           NA          NA
## 1032           NA           NA           NA           NA          NA
## 1033 -15.82983057  -8.11439139  22.14529876  43.04091732   2.5203381
## 1034 -15.82983057  -8.11439139  22.14529876  43.04091732   2.5203381
## 1035 -15.82983057  -8.11439139  22.14529876  43.04091732   2.5203381
## 1036 -15.82983057  -8.11439139  22.14529876  43.04091732   2.5203381
## 1037 -15.82983057  -8.11439139  22.14529876  43.04091732   2.5203381
## 1038           NA           NA           NA           NA          NA
## 1039           NA           NA           NA           NA          NA
## 1040           NA           NA           NA           NA          NA
## 1041           NA           NA           NA           NA          NA
## 1042           NA           NA           NA           NA          NA
## 1043           NA           NA           NA           NA          NA
## 1044           NA           NA           NA           NA          NA
## 1045           NA           NA           NA           NA          NA
## 1046           NA           NA           NA           NA          NA
## 1047           NA           NA           NA           NA          NA
## 1048           NA           NA           NA           NA          NA
## 1049           NA           NA           NA           NA          NA
## 1050           NA           NA           NA           NA          NA
## 1051           NA           NA           NA           NA          NA
## 1052           NA           NA           NA           NA          NA
## 1053           NA           NA           NA           NA          NA
## 1054           NA           NA           NA           NA          NA
## 1055           NA           NA           NA           NA          NA
## 1056           NA           NA           NA           NA          NA
## 1057           NA           NA           NA           NA          NA
## 1058           NA           NA           NA           NA          NA
## 1059           NA           NA           NA           NA          NA
## 1060           NA           NA           NA           NA          NA
## 1061           NA           NA           NA           NA          NA
## 1062           NA           NA           NA           NA          NA
## 1063           NA           NA           NA           NA          NA
## 1064           NA           NA           NA           NA          NA
## 1065           NA           NA           NA           NA          NA
## 1066           NA           NA           NA           NA          NA
## 1067           NA           NA           NA           NA          NA
## 1068   2.95214803  35.77190465   2.28639465  -1.02135391   0.5642218
## 1069   2.95214803  35.77190465   2.28639465  -1.02135391   0.5642218
## 1070   2.95214803  35.77190465   2.28639465  -1.02135391   0.5642218
## 1071   2.95214803  35.77190465   2.28639465  -1.02135391   0.5642218
## 1072   2.95214803  35.77190465   2.28639465  -1.02135391   0.5642218
## 1073  -5.91732923 -16.94509564  -3.86035617   6.40193852   7.4634941
## 1074  -5.91732923 -16.94509564  -3.86035617   6.40193852   7.4634941
## 1075  -5.91732923 -16.94509564  -3.86035617   6.40193852   7.4634941
## 1076  -5.91732923 -16.94509564  -3.86035617   6.40193852   7.4634941
## 1077  -5.91732923 -16.94509564  -3.86035617   6.40193852   7.4634941
## 1078           NA           NA           NA           NA          NA
## 1079           NA           NA           NA           NA          NA
## 1080           NA           NA           NA           NA          NA
## 1081           NA           NA           NA           NA          NA
## 1082           NA           NA           NA           NA          NA
## 1083 -12.10078987 -10.44293938 -11.76093618  11.66728926  -6.7146714
## 1084 -12.10078987 -10.44293938 -11.76093618  11.66728926  -6.7146714
## 1085 -12.10078987 -10.44293938 -11.76093618  11.66728926  -6.7146714
## 1086 -12.10078987 -10.44293938 -11.76093618  11.66728926  -6.7146714
## 1087 -12.10078987 -10.44293938 -11.76093618  11.66728926  -6.7146714
## 1088           NA           NA           NA           NA          NA
## 1089           NA           NA           NA           NA          NA
## 1090           NA           NA           NA           NA          NA
## 1091           NA           NA           NA           NA          NA
## 1092           NA           NA           NA           NA          NA
## 1093 -45.73262920   2.96258285  -3.14930259   6.42125210   4.0427146
## 1094 -45.73262920   2.96258285  -3.14930259   6.42125210   4.0427146
## 1095 -45.73262920   2.96258285  -3.14930259   6.42125210   4.0427146
## 1096 -45.73262920   2.96258285  -3.14930259   6.42125210   4.0427146
## 1097 -45.73262920   2.96258285  -3.14930259   6.42125210   4.0427146
## 1098           NA           NA           NA           NA          NA
## 1099           NA           NA           NA           NA          NA
## 1100           NA           NA           NA           NA          NA
## 1101           NA           NA           NA           NA          NA
## 1102           NA           NA           NA           NA          NA
## 1103  -7.15982095  -3.78758735  -3.93454551  -9.51340374  -1.1814030
## 1104  -7.15982095  -3.78758735  -3.93454551  -9.51340374  -1.1814030
## 1105  -7.15982095  -3.78758735  -3.93454551  -9.51340374  -1.1814030
## 1106  -7.15982095  -3.78758735  -3.93454551  -9.51340374  -1.1814030
## 1107  -7.15982095  -3.78758735  -3.93454551  -9.51340374  -1.1814030
## 1108           NA           NA           NA           NA          NA
## 1109           NA           NA           NA           NA          NA
## 1110           NA           NA           NA           NA          NA
## 1111           NA           NA           NA           NA          NA
## 1112           NA           NA           NA           NA          NA
## 1113 -59.13297683   5.19449443  12.01860383  34.60640937   4.8031754
## 1114 -59.13297683   5.19449443  12.01860383  34.60640937   4.8031754
## 1115 -59.13297683   5.19449443  12.01860383  34.60640937   4.8031754
## 1116 -59.13297683   5.19449443  12.01860383  34.60640937   4.8031754
## 1117 -59.13297683   5.19449443  12.01860383  34.60640937   4.8031754
## 1118  -7.60758379  -2.04923544  -4.57933024 -10.12550530   4.3724357
## 1119  -7.60758379  -2.04923544  -4.57933024 -10.12550530   4.3724357
## 1120  -7.60758379  -2.04923544  -4.57933024 -10.12550530   4.3724357
## 1121  -7.60758379  -2.04923544  -4.57933024 -10.12550530   4.3724357
## 1122  -7.60758379  -2.04923544  -4.57933024 -10.12550530   4.3724357
## 1123  14.57771098   3.10904130   8.51213549   2.18287671  -0.1172486
## 1124  14.57771098   3.10904130   8.51213549   2.18287671  -0.1172486
## 1125  14.57771098   3.10904130   8.51213549   2.18287671  -0.1172486
## 1126  14.57771098   3.10904130   8.51213549   2.18287671  -0.1172486
## 1127  14.57771098   3.10904130   8.51213549   2.18287671  -0.1172486
## 1128           NA           NA           NA           NA          NA
## 1129           NA           NA           NA           NA          NA
## 1130           NA           NA           NA           NA          NA
## 1131           NA           NA           NA           NA          NA
## 1132           NA           NA           NA           NA          NA
## 1133 -33.81354453   0.43394407   3.53603961   3.37119867  -1.8285666
## 1134 -33.81354453   0.43394407   3.53603961   3.37119867  -1.8285666
## 1135 -33.81354453   0.43394407   3.53603961   3.37119867  -1.8285666
## 1136 -33.81354453   0.43394407   3.53603961   3.37119867  -1.8285666
## 1137 -33.81354453   0.43394407   3.53603961   3.37119867  -1.8285666
## 1138           NA           NA           NA           NA          NA
## 1139           NA           NA           NA           NA          NA
## 1140           NA           NA           NA           NA          NA
## 1141           NA           NA           NA           NA          NA
## 1142           NA           NA           NA           NA          NA
## 1143  -0.51013908 -14.74037300  -2.50937336  -1.12304784   5.4327525
## 1144  -0.51013908 -14.74037300  -2.50937336  -1.12304784   5.4327525
## 1145  -0.51013908 -14.74037300  -2.50937336  -1.12304784   5.4327525
## 1146  -0.51013908 -14.74037300  -2.50937336  -1.12304784   5.4327525
## 1147  -0.51013908 -14.74037300  -2.50937336  -1.12304784   5.4327525
## 1148           NA           NA           NA           NA          NA
## 1149           NA           NA           NA           NA          NA
## 1150           NA           NA           NA           NA          NA
## 1151           NA           NA           NA           NA          NA
## 1152           NA           NA           NA           NA          NA
## 1153  27.74884746 -14.51132303 -36.21145046  34.10759632  -1.6843836
## 1154  27.74884746 -14.51132303 -36.21145046  34.10759632  -1.6843836
## 1155  27.74884746 -14.51132303 -36.21145046  34.10759632  -1.6843836
## 1156  27.74884746 -14.51132303 -36.21145046  34.10759632  -1.6843836
## 1157  27.74884746 -14.51132303 -36.21145046  34.10759632  -1.6843836
## 1158  13.81659957  -8.54469740  24.55675361 -29.46085831  -7.2450412
## 1159  13.81659957  -8.54469740  24.55675361 -29.46085831  -7.2450412
## 1160  13.81659957  -8.54469740  24.55675361 -29.46085831  -7.2450412
## 1161  13.81659957  -8.54469740  24.55675361 -29.46085831  -7.2450412
## 1162  13.81659957  -8.54469740  24.55675361 -29.46085831  -7.2450412
## 1163           NA           NA           NA           NA          NA
## 1164           NA           NA           NA           NA          NA
## 1165           NA           NA           NA           NA          NA
## 1166           NA           NA           NA           NA          NA
## 1167           NA           NA           NA           NA          NA
## 1168           NA           NA           NA           NA          NA
## 1169           NA           NA           NA           NA          NA
## 1170           NA           NA           NA           NA          NA
## 1171           NA           NA           NA           NA          NA
## 1172           NA           NA           NA           NA          NA
## 1173           NA           NA           NA           NA          NA
## 1174           NA           NA           NA           NA          NA
## 1175           NA           NA           NA           NA          NA
## 1176           NA           NA           NA           NA          NA
## 1177           NA           NA           NA           NA          NA
## 1178           NA           NA           NA           NA          NA
## 1179           NA           NA           NA           NA          NA
## 1180           NA           NA           NA           NA          NA
## 1181           NA           NA           NA           NA          NA
## 1182           NA           NA           NA           NA          NA
## 1183           NA           NA           NA           NA          NA
## 1184           NA           NA           NA           NA          NA
## 1185           NA           NA           NA           NA          NA
## 1186           NA           NA           NA           NA          NA
## 1187           NA           NA           NA           NA          NA
## 1188  14.24999386  27.22799857  49.27264499 -18.00737812   2.4945167
## 1189  14.24999386  27.22799857  49.27264499 -18.00737812   2.4945167
## 1190  14.24999386  27.22799857  49.27264499 -18.00737812   2.4945167
## 1191  14.24999386  27.22799857  49.27264499 -18.00737812   2.4945167
## 1192  14.24999386  27.22799857  49.27264499 -18.00737812   2.4945167
## 1193   6.93050873 -57.16141286  -6.80447174  -2.50488506   7.5955141
## 1194   6.93050873 -57.16141286  -6.80447174  -2.50488506   7.5955141
## 1195   6.93050873 -57.16141286  -6.80447174  -2.50488506   7.5955141
## 1196   6.93050873 -57.16141286  -6.80447174  -2.50488506   7.5955141
## 1197   6.93050873 -57.16141286  -6.80447174  -2.50488506   7.5955141
## 1198 -14.87164939 -13.75482780  11.85444177   1.78614005  -6.6192750
## 1199 -14.87164939 -13.75482780  11.85444177   1.78614005  -6.6192750
## 1200 -14.87164939 -13.75482780  11.85444177   1.78614005  -6.6192750
## 1201 -14.87164939 -13.75482780  11.85444177   1.78614005  -6.6192750
## 1202 -14.87164939 -13.75482780  11.85444177   1.78614005  -6.6192750
## 1203  -1.03521557  -0.27355816 -23.97692072 -10.90588475   1.4011930
## 1204  -1.03521557  -0.27355816 -23.97692072 -10.90588475   1.4011930
## 1205  -1.03521557  -0.27355816 -23.97692072 -10.90588475   1.4011930
## 1206  -1.03521557  -0.27355816 -23.97692072 -10.90588475   1.4011930
## 1207  -1.03521557  -0.27355816 -23.97692072 -10.90588475   1.4011930
## 1208           NA           NA           NA           NA          NA
## 1209           NA           NA           NA           NA          NA
## 1210           NA           NA           NA           NA          NA
## 1211           NA           NA           NA           NA          NA
## 1212           NA           NA           NA           NA          NA
## 1213  -2.32120396  -5.28625670   0.55846980  17.97187562  -1.7786026
## 1214  -2.32120396  -5.28625670   0.55846980  17.97187562  -1.7786026
## 1215  -2.32120396  -5.28625670   0.55846980  17.97187562  -1.7786026
## 1216  -2.32120396  -5.28625670   0.55846980  17.97187562  -1.7786026
## 1217  -2.32120396  -5.28625670   0.55846980  17.97187562  -1.7786026
## 1218  12.60637770   6.31034034  16.62806877  11.12795622  -6.7505193
## 1219  12.60637770   6.31034034  16.62806877  11.12795622  -6.7505193
## 1220  12.60637770   6.31034034  16.62806877  11.12795622  -6.7505193
## 1221  12.60637770   6.31034034  16.62806877  11.12795622  -6.7505193
## 1222  12.60637770   6.31034034  16.62806877  11.12795622  -6.7505193
## 1223           NA           NA           NA           NA          NA
## 1224           NA           NA           NA           NA          NA
## 1225           NA           NA           NA           NA          NA
## 1226           NA           NA           NA           NA          NA
## 1227           NA           NA           NA           NA          NA
## 1228           NA           NA           NA           NA          NA
## 1229           NA           NA           NA           NA          NA
## 1230           NA           NA           NA           NA          NA
## 1231           NA           NA           NA           NA          NA
## 1232           NA           NA           NA           NA          NA
## 1233           NA           NA           NA           NA          NA
## 1234           NA           NA           NA           NA          NA
## 1235           NA           NA           NA           NA          NA
## 1236           NA           NA           NA           NA          NA
## 1237           NA           NA           NA           NA          NA
## 1238   4.02951158 -24.89070848   6.67178577  -8.15835733   4.6787984
## 1239   4.02951158 -24.89070848   6.67178577  -8.15835733   4.6787984
## 1240   4.02951158 -24.89070848   6.67178577  -8.15835733   4.6787984
## 1241   4.02951158 -24.89070848   6.67178577  -8.15835733   4.6787984
## 1242   4.02951158 -24.89070848   6.67178577  -8.15835733   4.6787984
## 1243  11.91202401   0.28947368  -4.57704038   4.90181409 -29.5139003
## 1244  11.91202401   0.28947368  -4.57704038   4.90181409 -29.5139003
## 1245  11.91202401   0.28947368  -4.57704038   4.90181409 -29.5139003
## 1246  11.91202401   0.28947368  -4.57704038   4.90181409 -29.5139003
## 1247  11.91202401   0.28947368  -4.57704038   4.90181409 -29.5139003
## 1248           NA           NA           NA           NA          NA
## 1249           NA           NA           NA           NA          NA
## 1250           NA           NA           NA           NA          NA
## 1251           NA           NA           NA           NA          NA
## 1252           NA           NA           NA           NA          NA
## 1253           NA           NA           NA           NA          NA
## 1254           NA           NA           NA           NA          NA
## 1255           NA           NA           NA           NA          NA
## 1256           NA           NA           NA           NA          NA
## 1257           NA           NA           NA           NA          NA
## 1258           NA           NA           NA           NA          NA
## 1259           NA           NA           NA           NA          NA
## 1260           NA           NA           NA           NA          NA
## 1261           NA           NA           NA           NA          NA
## 1262           NA           NA           NA           NA          NA
## 1263  -4.08149183   2.06509930 -25.08898072 -51.89025050   0.5033149
## 1264  -4.08149183   2.06509930 -25.08898072 -51.89025050   0.5033149
## 1265  -4.08149183   2.06509930 -25.08898072 -51.89025050   0.5033149
## 1266  -4.08149183   2.06509930 -25.08898072 -51.89025050   0.5033149
## 1267  -4.08149183   2.06509930 -25.08898072 -51.89025050   0.5033149
## 1268   2.05089054  -1.73125568   2.61275434   0.08364445  -2.8863895
## 1269   2.05089054  -1.73125568   2.61275434   0.08364445  -2.8863895
## 1270   2.05089054  -1.73125568   2.61275434   0.08364445  -2.8863895
## 1271   2.05089054  -1.73125568   2.61275434   0.08364445  -2.8863895
## 1272   2.05089054  -1.73125568   2.61275434   0.08364445  -2.8863895
## 1273   4.93622628  -3.61893379  -4.60511408  -2.51925292  14.1122007
## 1274   4.93622628  -3.61893379  -4.60511408  -2.51925292  14.1122007
## 1275   4.93622628  -3.61893379  -4.60511408  -2.51925292  14.1122007
## 1276   4.93622628  -3.61893379  -4.60511408  -2.51925292  14.1122007
## 1277   4.93622628  -3.61893379  -4.60511408  -2.51925292  14.1122007
## 1278   0.78349204   2.99977804  -1.18754882   2.65058139  -5.4057493
## 1279   0.78349204   2.99977804  -1.18754882   2.65058139  -5.4057493
## 1280   0.78349204   2.99977804  -1.18754882   2.65058139  -5.4057493
## 1281   0.78349204   2.99977804  -1.18754882   2.65058139  -5.4057493
## 1282   0.78349204   2.99977804  -1.18754882   2.65058139  -5.4057493
## 1283  -6.12436239  16.70402058   4.71188868  -3.28826427  -8.3062448
## 1284  -6.12436239  16.70402058   4.71188868  -3.28826427  -8.3062448
## 1285  -6.12436239  16.70402058   4.71188868  -3.28826427  -8.3062448
## 1286  -6.12436239  16.70402058   4.71188868  -3.28826427  -8.3062448
## 1287  -6.12436239  16.70402058   4.71188868  -3.28826427  -8.3062448
## 1288           NA           NA           NA           NA          NA
## 1289           NA           NA           NA           NA          NA
## 1290           NA           NA           NA           NA          NA
## 1291           NA           NA           NA           NA          NA
## 1292           NA           NA           NA           NA          NA
## 1293           NA           NA           NA           NA          NA
## 1294           NA           NA           NA           NA          NA
## 1295           NA           NA           NA           NA          NA
## 1296           NA           NA           NA           NA          NA
## 1297           NA           NA           NA           NA          NA
## 1298   4.28286578  -0.48430980  -2.12133686   2.99365457  -3.9165207
## 1299   4.28286578  -0.48430980  -2.12133686   2.99365457  -3.9165207
## 1300   4.28286578  -0.48430980  -2.12133686   2.99365457  -3.9165207
## 1301   4.28286578  -0.48430980  -2.12133686   2.99365457  -3.9165207
## 1302   4.28286578  -0.48430980  -2.12133686   2.99365457  -3.9165207
## 1303           NA           NA           NA           NA          NA
## 1304           NA           NA           NA           NA          NA
## 1305           NA           NA           NA           NA          NA
## 1306           NA           NA           NA           NA          NA
## 1307           NA           NA           NA           NA          NA
## 1308           NA           NA           NA           NA          NA
## 1309           NA           NA           NA           NA          NA
## 1310           NA           NA           NA           NA          NA
## 1311           NA           NA           NA           NA          NA
## 1312           NA           NA           NA           NA          NA
## 1313 -12.60449293  12.39350055   3.30373693   3.72067836  -6.7195829
## 1314 -12.60449293  12.39350055   3.30373693   3.72067836  -6.7195829
## 1315 -12.60449293  12.39350055   3.30373693   3.72067836  -6.7195829
## 1316 -12.60449293  12.39350055   3.30373693   3.72067836  -6.7195829
## 1317 -12.60449293  12.39350055   3.30373693   3.72067836  -6.7195829
## 1318           NA           NA           NA           NA          NA
## 1319           NA           NA           NA           NA          NA
## 1320           NA           NA           NA           NA          NA
## 1321           NA           NA           NA           NA          NA
## 1322           NA           NA           NA           NA          NA
## 1323           NA           NA           NA           NA          NA
## 1324           NA           NA           NA           NA          NA
## 1325           NA           NA           NA           NA          NA
## 1326           NA           NA           NA           NA          NA
## 1327           NA           NA           NA           NA          NA
## 1328           NA           NA           NA           NA          NA
## 1329           NA           NA           NA           NA          NA
## 1330           NA           NA           NA           NA          NA
## 1331           NA           NA           NA           NA          NA
## 1332           NA           NA           NA           NA          NA
## 1333           NA           NA           NA           NA          NA
## 1334           NA           NA           NA           NA          NA
## 1335           NA           NA           NA           NA          NA
## 1336           NA           NA           NA           NA          NA
## 1337           NA           NA           NA           NA          NA
## 1338           NA           NA           NA           NA          NA
## 1339           NA           NA           NA           NA          NA
## 1340           NA           NA           NA           NA          NA
## 1341           NA           NA           NA           NA          NA
## 1342           NA           NA           NA           NA          NA
## 1343           NA           NA           NA           NA          NA
## 1344           NA           NA           NA           NA          NA
## 1345           NA           NA           NA           NA          NA
## 1346           NA           NA           NA           NA          NA
## 1347           NA           NA           NA           NA          NA
## 1348           NA           NA           NA           NA          NA
## 1349           NA           NA           NA           NA          NA
## 1350           NA           NA           NA           NA          NA
## 1351           NA           NA           NA           NA          NA
## 1352           NA           NA           NA           NA          NA
## 1353           NA           NA           NA           NA          NA
## 1354           NA           NA           NA           NA          NA
## 1355           NA           NA           NA           NA          NA
## 1356           NA           NA           NA           NA          NA
## 1357           NA           NA           NA           NA          NA
## 1358           NA           NA           NA           NA          NA
## 1359           NA           NA           NA           NA          NA
## 1360           NA           NA           NA           NA          NA
## 1361           NA           NA           NA           NA          NA
## 1362           NA           NA           NA           NA          NA
## 1363  -1.29963482  -3.46014763   4.69714936  -0.50259332  -2.8594265
## 1364  -1.29963482  -3.46014763   4.69714936  -0.50259332  -2.8594265
## 1365  -1.29963482  -3.46014763   4.69714936  -0.50259332  -2.8594265
## 1366  -1.29963482  -3.46014763   4.69714936  -0.50259332  -2.8594265
## 1367  -1.29963482  -3.46014763   4.69714936  -0.50259332  -2.8594265
## 1368           NA           NA           NA           NA          NA
## 1369           NA           NA           NA           NA          NA
## 1370           NA           NA           NA           NA          NA
## 1371           NA           NA           NA           NA          NA
## 1372           NA           NA           NA           NA          NA
## 1373           NA           NA           NA           NA          NA
## 1374           NA           NA           NA           NA          NA
## 1375           NA           NA           NA           NA          NA
## 1376           NA           NA           NA           NA          NA
## 1377           NA           NA           NA           NA          NA
## 1378  -2.53447039  -7.67705985  -2.30334749  -3.82946302  -2.9475953
## 1379  -2.53447039  -7.67705985  -2.30334749  -3.82946302  -2.9475953
## 1380  -2.53447039  -7.67705985  -2.30334749  -3.82946302  -2.9475953
## 1381  -2.53447039  -7.67705985  -2.30334749  -3.82946302  -2.9475953
## 1382  -2.53447039  -7.67705985  -2.30334749  -3.82946302  -2.9475953
## 1383           NA           NA           NA           NA          NA
## 1384           NA           NA           NA           NA          NA
## 1385           NA           NA           NA           NA          NA
## 1386           NA           NA           NA           NA          NA
## 1387           NA           NA           NA           NA          NA
## 1388  -1.18711872   3.06045368  -5.57858723   4.72325735  -2.0375272
## 1389  -1.18711872   3.06045368  -5.57858723   4.72325735  -2.0375272
## 1390  -1.18711872   3.06045368  -5.57858723   4.72325735  -2.0375272
## 1391  -1.18711872   3.06045368  -5.57858723   4.72325735  -2.0375272
## 1392  -1.18711872   3.06045368  -5.57858723   4.72325735  -2.0375272
## 1393           NA           NA           NA           NA          NA
## 1394           NA           NA           NA           NA          NA
## 1395           NA           NA           NA           NA          NA
## 1396           NA           NA           NA           NA          NA
## 1397           NA           NA           NA           NA          NA
## 1398           NA           NA           NA           NA          NA
## 1399           NA           NA           NA           NA          NA
## 1400           NA           NA           NA           NA          NA
## 1401           NA           NA           NA           NA          NA
## 1402           NA           NA           NA           NA          NA
## 1403           NA           NA           NA           NA          NA
## 1404           NA           NA           NA           NA          NA
## 1405           NA           NA           NA           NA          NA
## 1406           NA           NA           NA           NA          NA
## 1407           NA           NA           NA           NA          NA
## 1408           NA           NA           NA           NA          NA
## 1409           NA           NA           NA           NA          NA
## 1410           NA           NA           NA           NA          NA
## 1411           NA           NA           NA           NA          NA
## 1412           NA           NA           NA           NA          NA
## 1413  39.47599035  -6.10462951   9.54856934  18.48179714  -7.4616013
## 1414  39.47599035  -6.10462951   9.54856934  18.48179714  -7.4616013
## 1415  39.47599035  -6.10462951   9.54856934  18.48179714  -7.4616013
## 1416  39.47599035  -6.10462951   9.54856934  18.48179714  -7.4616013
## 1417  39.47599035  -6.10462951   9.54856934  18.48179714  -7.4616013
## 1418   2.10027724  -4.16377189  -2.96532772  -7.01179818  -0.9927865
## 1419   2.10027724  -4.16377189  -2.96532772  -7.01179818  -0.9927865
## 1420   2.10027724  -4.16377189  -2.96532772  -7.01179818  -0.9927865
## 1421   2.10027724  -4.16377189  -2.96532772  -7.01179818  -0.9927865
## 1422   2.10027724  -4.16377189  -2.96532772  -7.01179818  -0.9927865
## 1423           NA           NA           NA           NA          NA
## 1424           NA           NA           NA           NA          NA
## 1425           NA           NA           NA           NA          NA
## 1426           NA           NA           NA           NA          NA
## 1427           NA           NA           NA           NA          NA
## 1428 -18.12142426   2.89785016  18.14116033 -11.72444453  -1.3220413
## 1429 -18.12142426   2.89785016  18.14116033 -11.72444453  -1.3220413
## 1430 -18.12142426   2.89785016  18.14116033 -11.72444453  -1.3220413
## 1431 -18.12142426   2.89785016  18.14116033 -11.72444453  -1.3220413
## 1432 -18.12142426   2.89785016  18.14116033 -11.72444453  -1.3220413
## 1433  23.32713836  -3.20913357   1.08614842   0.67317698  -2.8343081
## 1434  23.32713836  -3.20913357   1.08614842   0.67317698  -2.8343081
## 1435  23.32713836  -3.20913357   1.08614842   0.67317698  -2.8343081
## 1436  23.32713836  -3.20913357   1.08614842   0.67317698  -2.8343081
## 1437  23.32713836  -3.20913357   1.08614842   0.67317698  -2.8343081
## 1438           NA           NA           NA           NA          NA
## 1439           NA           NA           NA           NA          NA
## 1440           NA           NA           NA           NA          NA
## 1441           NA           NA           NA           NA          NA
## 1442           NA           NA           NA           NA          NA
## 1443  12.21980731  66.48259252  -2.54991083   2.44030611  -4.5656317
## 1444  12.21980731  66.48259252  -2.54991083   2.44030611  -4.5656317
## 1445  12.21980731  66.48259252  -2.54991083   2.44030611  -4.5656317
## 1446  12.21980731  66.48259252  -2.54991083   2.44030611  -4.5656317
## 1447  12.21980731  66.48259252  -2.54991083   2.44030611  -4.5656317
## 1448           NA           NA           NA           NA          NA
## 1449           NA           NA           NA           NA          NA
## 1450           NA           NA           NA           NA          NA
## 1451           NA           NA           NA           NA          NA
## 1452           NA           NA           NA           NA          NA
## 1453           NA           NA           NA           NA          NA
## 1454           NA           NA           NA           NA          NA
## 1455           NA           NA           NA           NA          NA
## 1456           NA           NA           NA           NA          NA
## 1457           NA           NA           NA           NA          NA
## 1458           NA           NA           NA           NA          NA
## 1459           NA           NA           NA           NA          NA
## 1460           NA           NA           NA           NA          NA
## 1461           NA           NA           NA           NA          NA
## 1462           NA           NA           NA           NA          NA
## 1463   0.46677348   5.51007637   5.18907217 -10.26264972  -1.8850585
## 1464   0.46677348   5.51007637   5.18907217 -10.26264972  -1.8850585
## 1465   0.46677348   5.51007637   5.18907217 -10.26264972  -1.8850585
## 1466   0.46677348   5.51007637   5.18907217 -10.26264972  -1.8850585
## 1467   0.46677348   5.51007637   5.18907217 -10.26264972  -1.8850585
## 1468           NA           NA           NA           NA          NA
## 1469           NA           NA           NA           NA          NA
## 1470           NA           NA           NA           NA          NA
## 1471           NA           NA           NA           NA          NA
## 1472           NA           NA           NA           NA          NA
## 1473           NA           NA           NA           NA          NA
## 1474           NA           NA           NA           NA          NA
## 1475           NA           NA           NA           NA          NA
## 1476           NA           NA           NA           NA          NA
## 1477           NA           NA           NA           NA          NA
## 1478           NA           NA           NA           NA          NA
## 1479           NA           NA           NA           NA          NA
## 1480           NA           NA           NA           NA          NA
## 1481           NA           NA           NA           NA          NA
## 1482           NA           NA           NA           NA          NA
## 1483           NA           NA           NA           NA          NA
## 1484           NA           NA           NA           NA          NA
## 1485           NA           NA           NA           NA          NA
## 1486           NA           NA           NA           NA          NA
## 1487           NA           NA           NA           NA          NA
## 1488  -4.98627203  -3.62918396  -4.59822292   2.48749036  -1.6565466
## 1489  -4.98627203  -3.62918396  -4.59822292   2.48749036  -1.6565466
## 1490  -4.98627203  -3.62918396  -4.59822292   2.48749036  -1.6565466
## 1491  -4.98627203  -3.62918396  -4.59822292   2.48749036  -1.6565466
## 1492  -4.98627203  -3.62918396  -4.59822292   2.48749036  -1.6565466
## 1493  17.56904111   1.38653112 -16.47917705  52.54166746  -8.9044737
## 1494  17.56904111   1.38653112 -16.47917705  52.54166746  -8.9044737
## 1495  17.56904111   1.38653112 -16.47917705  52.54166746  -8.9044737
## 1496  17.56904111   1.38653112 -16.47917705  52.54166746  -8.9044737
## 1497  17.56904111   1.38653112 -16.47917705  52.54166746  -8.9044737
## 1498  -1.15036413  -9.05428365  10.59795176  -8.82389580  -2.1129962
## 1499  -1.15036413  -9.05428365  10.59795176  -8.82389580  -2.1129962
## 1500  -1.15036413  -9.05428365  10.59795176  -8.82389580  -2.1129962
## 1501  -1.15036413  -9.05428365  10.59795176  -8.82389580  -2.1129962
## 1502  -1.15036413  -9.05428365  10.59795176  -8.82389580  -2.1129962
## 1503  13.27557574  10.25404094   9.14203507 -44.83218278  -4.0826257
## 1504  13.27557574  10.25404094   9.14203507 -44.83218278  -4.0826257
## 1505  13.27557574  10.25404094   9.14203507 -44.83218278  -4.0826257
## 1506  13.27557574  10.25404094   9.14203507 -44.83218278  -4.0826257
## 1507  13.27557574  10.25404094   9.14203507 -44.83218278  -4.0826257
## 1508           NA           NA           NA           NA          NA
## 1509           NA           NA           NA           NA          NA
## 1510           NA           NA           NA           NA          NA
## 1511           NA           NA           NA           NA          NA
## 1512           NA           NA           NA           NA          NA
## 1513           NA           NA           NA           NA          NA
## 1514           NA           NA           NA           NA          NA
## 1515           NA           NA           NA           NA          NA
## 1516           NA           NA           NA           NA          NA
## 1517           NA           NA           NA           NA          NA
## 1518           NA           NA           NA           NA          NA
## 1519           NA           NA           NA           NA          NA
## 1520           NA           NA           NA           NA          NA
## 1521           NA           NA           NA           NA          NA
## 1522           NA           NA           NA           NA          NA
## 1523           NA           NA           NA           NA          NA
## 1524           NA           NA           NA           NA          NA
## 1525           NA           NA           NA           NA          NA
## 1526           NA           NA           NA           NA          NA
## 1527           NA           NA           NA           NA          NA
## 1528  -4.04804066  -6.23515177  -5.86290821 -12.01072509  -4.5344794
## 1529  -4.04804066  -6.23515177  -5.86290821 -12.01072509  -4.5344794
## 1530  -4.04804066  -6.23515177  -5.86290821 -12.01072509  -4.5344794
## 1531  -4.04804066  -6.23515177  -5.86290821 -12.01072509  -4.5344794
## 1532  -4.04804066  -6.23515177  -5.86290821 -12.01072509  -4.5344794
## 1533           NA           NA           NA           NA          NA
## 1534           NA           NA           NA           NA          NA
## 1535           NA           NA           NA           NA          NA
## 1536           NA           NA           NA           NA          NA
## 1537           NA           NA           NA           NA          NA
## 1538           NA           NA           NA           NA          NA
##        PC73_score    PC23_score   PC44_score    PC8_score  PC101_score
## 1     -9.74678496   1.093731228   5.60901944  -8.52457907   3.60645223
## 2     -9.74678496   1.093731228   5.60901944  -8.52457907   3.60645223
## 3     -9.74678496   1.093731228   5.60901944  -8.52457907   3.60645223
## 4     -9.74678496   1.093731228   5.60901944  -8.52457907   3.60645223
## 5     -9.74678496   1.093731228   5.60901944  -8.52457907   3.60645223
## 6     -9.74678496   1.093731228   5.60901944  -8.52457907   3.60645223
## 7     -9.74678496   1.093731228   5.60901944  -8.52457907   3.60645223
## 8     -9.74678496   1.093731228   5.60901944  -8.52457907   3.60645223
## 9     -0.82788808  -2.445804941  -5.89198219  -2.93388796  10.58087798
## 10    -0.82788808  -2.445804941  -5.89198219  -2.93388796  10.58087798
## 11    -0.82788808  -2.445804941  -5.89198219  -2.93388796  10.58087798
## 12    -0.82788808  -2.445804941  -5.89198219  -2.93388796  10.58087798
## 13    -0.82788808  -2.445804941  -5.89198219  -2.93388796  10.58087798
## 14    -0.82788808  -2.445804941  -5.89198219  -2.93388796  10.58087798
## 15    -0.82788808  -2.445804941  -5.89198219  -2.93388796  10.58087798
## 16    -0.82788808  -2.445804941  -5.89198219  -2.93388796  10.58087798
## 17    -4.35331528   6.870798587  16.68215134  -5.76773905   0.35867672
## 18    -4.35331528   6.870798587  16.68215134  -5.76773905   0.35867672
## 19    -4.35331528   6.870798587  16.68215134  -5.76773905   0.35867672
## 20    -4.35331528   6.870798587  16.68215134  -5.76773905   0.35867672
## 21    -4.35331528   6.870798587  16.68215134  -5.76773905   0.35867672
## 22    -4.35331528   6.870798587  16.68215134  -5.76773905   0.35867672
## 23    -4.35331528   6.870798587  16.68215134  -5.76773905   0.35867672
## 24    -4.35331528   6.870798587  16.68215134  -5.76773905   0.35867672
## 25    -7.61313203  -5.917409095 -36.58243400   0.33958837  -0.44757549
## 26    -7.61313203  -5.917409095 -36.58243400   0.33958837  -0.44757549
## 27    -7.61313203  -5.917409095 -36.58243400   0.33958837  -0.44757549
## 28    -7.61313203  -5.917409095 -36.58243400   0.33958837  -0.44757549
## 29    -7.61313203  -5.917409095 -36.58243400   0.33958837  -0.44757549
## 30    -7.61313203  -5.917409095 -36.58243400   0.33958837  -0.44757549
## 31    -7.61313203  -5.917409095 -36.58243400   0.33958837  -0.44757549
## 32    -7.61313203  -5.917409095 -36.58243400   0.33958837  -0.44757549
## 33    29.96439745  -0.611678288  -8.52403813  -4.57041260  -3.95165840
## 34    29.96439745  -0.611678288  -8.52403813  -4.57041260  -3.95165840
## 35    29.96439745  -0.611678288  -8.52403813  -4.57041260  -3.95165840
## 36    29.96439745  -0.611678288  -8.52403813  -4.57041260  -3.95165840
## 37    29.96439745  -0.611678288  -8.52403813  -4.57041260  -3.95165840
## 38    29.96439745  -0.611678288  -8.52403813  -4.57041260  -3.95165840
## 39    29.96439745  -0.611678288  -8.52403813  -4.57041260  -3.95165840
## 40    29.96439745  -0.611678288  -8.52403813  -4.57041260  -3.95165840
## 41     1.32822541   7.320084899  -0.38798339   6.40156569  -1.51028947
## 42     1.32822541   7.320084899  -0.38798339   6.40156569  -1.51028947
## 43     1.32822541   7.320084899  -0.38798339   6.40156569  -1.51028947
## 44     1.32822541   7.320084899  -0.38798339   6.40156569  -1.51028947
## 45     1.32822541   7.320084899  -0.38798339   6.40156569  -1.51028947
## 46     1.32822541   7.320084899  -0.38798339   6.40156569  -1.51028947
## 47     1.32822541   7.320084899  -0.38798339   6.40156569  -1.51028947
## 48     1.32822541   7.320084899  -0.38798339   6.40156569  -1.51028947
## 49     1.47019443  16.844943834  -3.53175880 -33.87757501   0.76200825
## 50     1.47019443  16.844943834  -3.53175880 -33.87757501   0.76200825
## 51     1.47019443  16.844943834  -3.53175880 -33.87757501   0.76200825
## 52     1.47019443  16.844943834  -3.53175880 -33.87757501   0.76200825
## 53     1.47019443  16.844943834  -3.53175880 -33.87757501   0.76200825
## 54     1.47019443  16.844943834  -3.53175880 -33.87757501   0.76200825
## 55     1.47019443  16.844943834  -3.53175880 -33.87757501   0.76200825
## 56     1.47019443  16.844943834  -3.53175880 -33.87757501   0.76200825
## 57    -3.95223486  -2.447339798  17.70078792  -5.81997882   6.55293898
## 58    -3.95223486  -2.447339798  17.70078792  -5.81997882   6.55293898
## 59    -3.95223486  -2.447339798  17.70078792  -5.81997882   6.55293898
## 60    -3.95223486  -2.447339798  17.70078792  -5.81997882   6.55293898
## 61    -3.95223486  -2.447339798  17.70078792  -5.81997882   6.55293898
## 62    -3.95223486  -2.447339798  17.70078792  -5.81997882   6.55293898
## 63    -3.95223486  -2.447339798  17.70078792  -5.81997882   6.55293898
## 64    -3.95223486  -2.447339798  17.70078792  -5.81997882   6.55293898
## 65   -18.15122217  -2.026539800 -36.04579813  -6.08969887  -2.93319392
## 66   -18.15122217  -2.026539800 -36.04579813  -6.08969887  -2.93319392
## 67   -18.15122217  -2.026539800 -36.04579813  -6.08969887  -2.93319392
## 68   -18.15122217  -2.026539800 -36.04579813  -6.08969887  -2.93319392
## 69   -18.15122217  -2.026539800 -36.04579813  -6.08969887  -2.93319392
## 70   -18.15122217  -2.026539800 -36.04579813  -6.08969887  -2.93319392
## 71   -18.15122217  -2.026539800 -36.04579813  -6.08969887  -2.93319392
## 72   -18.15122217  -2.026539800 -36.04579813  -6.08969887  -2.93319392
## 73   -22.05230777  11.543229420   2.99610456 -10.72774841  -5.78676331
## 74   -22.05230777  11.543229420   2.99610456 -10.72774841  -5.78676331
## 75   -22.05230777  11.543229420   2.99610456 -10.72774841  -5.78676331
## 76   -22.05230777  11.543229420   2.99610456 -10.72774841  -5.78676331
## 77   -22.05230777  11.543229420   2.99610456 -10.72774841  -5.78676331
## 78   -22.05230777  11.543229420   2.99610456 -10.72774841  -5.78676331
## 79   -22.05230777  11.543229420   2.99610456 -10.72774841  -5.78676331
## 80   -22.05230777  11.543229420   2.99610456 -10.72774841  -5.78676331
## 81    -7.57203476  -7.178703329   1.24620005  -2.98668480  -3.55643436
## 82    -7.57203476  -7.178703329   1.24620005  -2.98668480  -3.55643436
## 83    -7.57203476  -7.178703329   1.24620005  -2.98668480  -3.55643436
## 84    -7.57203476  -7.178703329   1.24620005  -2.98668480  -3.55643436
## 85    -7.57203476  -7.178703329   1.24620005  -2.98668480  -3.55643436
## 86    -7.57203476  -7.178703329   1.24620005  -2.98668480  -3.55643436
## 87    -7.57203476  -7.178703329   1.24620005  -2.98668480  -3.55643436
## 88    -7.57203476  -7.178703329   1.24620005  -2.98668480  -3.55643436
## 89    -1.40108746  19.442187722   9.52797978  -1.24737699  -0.74921682
## 90    -1.40108746  19.442187722   9.52797978  -1.24737699  -0.74921682
## 91    -1.40108746  19.442187722   9.52797978  -1.24737699  -0.74921682
## 92    -1.40108746  19.442187722   9.52797978  -1.24737699  -0.74921682
## 93    -1.40108746  19.442187722   9.52797978  -1.24737699  -0.74921682
## 94    -1.40108746  19.442187722   9.52797978  -1.24737699  -0.74921682
## 95    -1.40108746  19.442187722   9.52797978  -1.24737699  -0.74921682
## 96    -1.40108746  19.442187722   9.52797978  -1.24737699  -0.74921682
## 97    12.45822754  -2.092789247 -21.94638858  -1.51681627   0.92909062
## 98    12.45822754  -2.092789247 -21.94638858  -1.51681627   0.92909062
## 99    12.45822754  -2.092789247 -21.94638858  -1.51681627   0.92909062
## 100   12.45822754  -2.092789247 -21.94638858  -1.51681627   0.92909062
## 101   12.45822754  -2.092789247 -21.94638858  -1.51681627   0.92909062
## 102   12.45822754  -2.092789247 -21.94638858  -1.51681627   0.92909062
## 103   12.45822754  -2.092789247 -21.94638858  -1.51681627   0.92909062
## 104   12.45822754  -2.092789247 -21.94638858  -1.51681627   0.92909062
## 105    1.69378910   3.849057139   0.22255773  -2.25251051   5.03279083
## 106    1.69378910   3.849057139   0.22255773  -2.25251051   5.03279083
## 107    1.69378910   3.849057139   0.22255773  -2.25251051   5.03279083
## 108    1.69378910   3.849057139   0.22255773  -2.25251051   5.03279083
## 109    1.69378910   3.849057139   0.22255773  -2.25251051   5.03279083
## 110    1.69378910   3.849057139   0.22255773  -2.25251051   5.03279083
## 111    1.69378910   3.849057139   0.22255773  -2.25251051   5.03279083
## 112    1.69378910   3.849057139   0.22255773  -2.25251051   5.03279083
## 113    5.46661453  -2.650912454   6.49175989 -10.62839909   3.68141735
## 114    5.46661453  -2.650912454   6.49175989 -10.62839909   3.68141735
## 115    5.46661453  -2.650912454   6.49175989 -10.62839909   3.68141735
## 116    5.46661453  -2.650912454   6.49175989 -10.62839909   3.68141735
## 117    5.46661453  -2.650912454   6.49175989 -10.62839909   3.68141735
## 118    5.46661453  -2.650912454   6.49175989 -10.62839909   3.68141735
## 119    5.46661453  -2.650912454   6.49175989 -10.62839909   3.68141735
## 120    5.46661453  -2.650912454   6.49175989 -10.62839909   3.68141735
## 121   -2.33774539  -0.947242618 -42.12648832  -5.31232608   1.21706835
## 122   -2.33774539  -0.947242618 -42.12648832  -5.31232608   1.21706835
## 123   -2.33774539  -0.947242618 -42.12648832  -5.31232608   1.21706835
## 124   -2.33774539  -0.947242618 -42.12648832  -5.31232608   1.21706835
## 125   -2.33774539  -0.947242618 -42.12648832  -5.31232608   1.21706835
## 126   -2.33774539  -0.947242618 -42.12648832  -5.31232608   1.21706835
## 127   -2.33774539  -0.947242618 -42.12648832  -5.31232608   1.21706835
## 128   -2.33774539  -0.947242618 -42.12648832  -5.31232608   1.21706835
## 129   -9.51873502  -0.671898146  -3.94896137  -3.60136026   1.45007689
## 130   -9.51873502  -0.671898146  -3.94896137  -3.60136026   1.45007689
## 131   -9.51873502  -0.671898146  -3.94896137  -3.60136026   1.45007689
## 132   -9.51873502  -0.671898146  -3.94896137  -3.60136026   1.45007689
## 133   -9.51873502  -0.671898146  -3.94896137  -3.60136026   1.45007689
## 134   -9.51873502  -0.671898146  -3.94896137  -3.60136026   1.45007689
## 135   -9.51873502  -0.671898146  -3.94896137  -3.60136026   1.45007689
## 136   -9.51873502  -0.671898146  -3.94896137  -3.60136026   1.45007689
## 137   -0.16751334  -6.056335364   0.94505685 109.72718844  -0.52744932
## 138   -0.16751334  -6.056335364   0.94505685 109.72718844  -0.52744932
## 139   -0.16751334  -6.056335364   0.94505685 109.72718844  -0.52744932
## 140   -0.16751334  -6.056335364   0.94505685 109.72718844  -0.52744932
## 141   -0.16751334  -6.056335364   0.94505685 109.72718844  -0.52744932
## 142   -0.16751334  -6.056335364   0.94505685 109.72718844  -0.52744932
## 143   -0.16751334  -6.056335364   0.94505685 109.72718844  -0.52744932
## 144   -0.16751334  -6.056335364   0.94505685 109.72718844  -0.52744932
## 145    8.77183270   5.478181084   3.46980438  -5.28332291   3.33278804
## 146    8.77183270   5.478181084   3.46980438  -5.28332291   3.33278804
## 147    8.77183270   5.478181084   3.46980438  -5.28332291   3.33278804
## 148    8.77183270   5.478181084   3.46980438  -5.28332291   3.33278804
## 149    8.77183270   5.478181084   3.46980438  -5.28332291   3.33278804
## 150    8.77183270   5.478181084   3.46980438  -5.28332291   3.33278804
## 151    8.77183270   5.478181084   3.46980438  -5.28332291   3.33278804
## 152    8.77183270   5.478181084   3.46980438  -5.28332291   3.33278804
## 153    2.95889584   8.792470914  -2.43632896  41.44596849  -0.03952254
## 154    2.95889584   8.792470914  -2.43632896  41.44596849  -0.03952254
## 155    2.95889584   8.792470914  -2.43632896  41.44596849  -0.03952254
## 156    2.95889584   8.792470914  -2.43632896  41.44596849  -0.03952254
## 157    2.95889584   8.792470914  -2.43632896  41.44596849  -0.03952254
## 158    2.95889584   8.792470914  -2.43632896  41.44596849  -0.03952254
## 159    2.95889584   8.792470914  -2.43632896  41.44596849  -0.03952254
## 160    2.95889584   8.792470914  -2.43632896  41.44596849  -0.03952254
## 161   21.36431790  -3.403073526  17.11700069   3.58117932   0.54227012
## 162   21.36431790  -3.403073526  17.11700069   3.58117932   0.54227012
## 163   21.36431790  -3.403073526  17.11700069   3.58117932   0.54227012
## 164   21.36431790  -3.403073526  17.11700069   3.58117932   0.54227012
## 165   21.36431790  -3.403073526  17.11700069   3.58117932   0.54227012
## 166   21.36431790  -3.403073526  17.11700069   3.58117932   0.54227012
## 167   21.36431790  -3.403073526  17.11700069   3.58117932   0.54227012
## 168   21.36431790  -3.403073526  17.11700069   3.58117932   0.54227012
## 169   -2.82643647  -0.529204029  -1.27543881  -2.34165077  -9.42911604
## 170   -2.82643647  -0.529204029  -1.27543881  -2.34165077  -9.42911604
## 171   -2.82643647  -0.529204029  -1.27543881  -2.34165077  -9.42911604
## 172   -2.82643647  -0.529204029  -1.27543881  -2.34165077  -9.42911604
## 173   -2.82643647  -0.529204029  -1.27543881  -2.34165077  -9.42911604
## 174   -2.82643647  -0.529204029  -1.27543881  -2.34165077  -9.42911604
## 175   -2.82643647  -0.529204029  -1.27543881  -2.34165077  -9.42911604
## 176   -2.82643647  -0.529204029  -1.27543881  -2.34165077  -9.42911604
## 177   -7.14389168  -5.389221762  -3.16517279  -1.29918986  -9.74665652
## 178   -7.14389168  -5.389221762  -3.16517279  -1.29918986  -9.74665652
## 179   -7.14389168  -5.389221762  -3.16517279  -1.29918986  -9.74665652
## 180   -7.14389168  -5.389221762  -3.16517279  -1.29918986  -9.74665652
## 181   -7.14389168  -5.389221762  -3.16517279  -1.29918986  -9.74665652
## 182   -7.14389168  -5.389221762  -3.16517279  -1.29918986  -9.74665652
## 183   -7.14389168  -5.389221762  -3.16517279  -1.29918986  -9.74665652
## 184   -7.14389168  -5.389221762  -3.16517279  -1.29918986  -9.74665652
## 185   -1.48640478   0.224099637   4.93856454 -25.19334628  -0.69089925
## 186   -1.48640478   0.224099637   4.93856454 -25.19334628  -0.69089925
## 187   -1.48640478   0.224099637   4.93856454 -25.19334628  -0.69089925
## 188   -1.48640478   0.224099637   4.93856454 -25.19334628  -0.69089925
## 189   -1.48640478   0.224099637   4.93856454 -25.19334628  -0.69089925
## 190   -1.48640478   0.224099637   4.93856454 -25.19334628  -0.69089925
## 191   -1.48640478   0.224099637   4.93856454 -25.19334628  -0.69089925
## 192   -1.48640478   0.224099637   4.93856454 -25.19334628  -0.69089925
## 193   12.57350959  -2.680236324  31.32837861  -3.32134731  -2.68566165
## 194   12.57350959  -2.680236324  31.32837861  -3.32134731  -2.68566165
## 195   12.57350959  -2.680236324  31.32837861  -3.32134731  -2.68566165
## 196   12.57350959  -2.680236324  31.32837861  -3.32134731  -2.68566165
## 197   12.57350959  -2.680236324  31.32837861  -3.32134731  -2.68566165
## 198   12.57350959  -2.680236324  31.32837861  -3.32134731  -2.68566165
## 199   12.57350959  -2.680236324  31.32837861  -3.32134731  -2.68566165
## 200   12.57350959  -2.680236324  31.32837861  -3.32134731  -2.68566165
## 201    1.42404416  33.011675570 -25.43956528 -13.11947301   1.90040299
## 202    1.42404416  33.011675570 -25.43956528 -13.11947301   1.90040299
## 203    1.42404416  33.011675570 -25.43956528 -13.11947301   1.90040299
## 204    1.42404416  33.011675570 -25.43956528 -13.11947301   1.90040299
## 205    1.42404416  33.011675570 -25.43956528 -13.11947301   1.90040299
## 206    1.42404416  33.011675570 -25.43956528 -13.11947301   1.90040299
## 207    1.42404416  33.011675570 -25.43956528 -13.11947301   1.90040299
## 208    1.42404416  33.011675570 -25.43956528 -13.11947301   1.90040299
## 209   -4.61322288 -81.663757403  -6.44492291 -16.55697240   0.16721675
## 210   -4.61322288 -81.663757403  -6.44492291 -16.55697240   0.16721675
## 211   -4.61322288 -81.663757403  -6.44492291 -16.55697240   0.16721675
## 212   -4.61322288 -81.663757403  -6.44492291 -16.55697240   0.16721675
## 213   -4.61322288 -81.663757403  -6.44492291 -16.55697240   0.16721675
## 214   -4.61322288 -81.663757403  -6.44492291 -16.55697240   0.16721675
## 215   -4.61322288 -81.663757403  -6.44492291 -16.55697240   0.16721675
## 216   -4.61322288 -81.663757403  -6.44492291 -16.55697240   0.16721675
## 217    1.22172171   1.843941370   3.32105497   2.31995452   0.81249326
## 218    1.22172171   1.843941370   3.32105497   2.31995452   0.81249326
## 219    1.22172171   1.843941370   3.32105497   2.31995452   0.81249326
## 220    1.22172171   1.843941370   3.32105497   2.31995452   0.81249326
## 221    1.22172171   1.843941370   3.32105497   2.31995452   0.81249326
## 222    1.22172171   1.843941370   3.32105497   2.31995452   0.81249326
## 223    1.22172171   1.843941370   3.32105497   2.31995452   0.81249326
## 224    1.22172171   1.843941370   3.32105497   2.31995452   0.81249326
## 225   -4.21867908   1.328159569   0.64941073  -2.14052600  -5.61970651
## 226   -4.21867908   1.328159569   0.64941073  -2.14052600  -5.61970651
## 227   -4.21867908   1.328159569   0.64941073  -2.14052600  -5.61970651
## 228   -4.21867908   1.328159569   0.64941073  -2.14052600  -5.61970651
## 229   -4.21867908   1.328159569   0.64941073  -2.14052600  -5.61970651
## 230   -4.21867908   1.328159569   0.64941073  -2.14052600  -5.61970651
## 231   -4.21867908   1.328159569   0.64941073  -2.14052600  -5.61970651
## 232   -4.21867908   1.328159569   0.64941073  -2.14052600  -5.61970651
## 233    0.48593258 -21.209967622 -12.13248221   9.56040017  -3.26356401
## 234    0.48593258 -21.209967622 -12.13248221   9.56040017  -3.26356401
## 235    0.48593258 -21.209967622 -12.13248221   9.56040017  -3.26356401
## 236    0.48593258 -21.209967622 -12.13248221   9.56040017  -3.26356401
## 237    0.48593258 -21.209967622 -12.13248221   9.56040017  -3.26356401
## 238    0.48593258 -21.209967622 -12.13248221   9.56040017  -3.26356401
## 239    0.48593258 -21.209967622 -12.13248221   9.56040017  -3.26356401
## 240    0.48593258 -21.209967622 -12.13248221   9.56040017  -3.26356401
## 241   -4.75007217   0.576577044   7.36872951  -3.17603241   3.67679905
## 242   -4.75007217   0.576577044   7.36872951  -3.17603241   3.67679905
## 243   -4.75007217   0.576577044   7.36872951  -3.17603241   3.67679905
## 244   -4.75007217   0.576577044   7.36872951  -3.17603241   3.67679905
## 245   -4.75007217   0.576577044   7.36872951  -3.17603241   3.67679905
## 246   -4.75007217   0.576577044   7.36872951  -3.17603241   3.67679905
## 247   -4.75007217   0.576577044   7.36872951  -3.17603241   3.67679905
## 248   -4.75007217   0.576577044   7.36872951  -3.17603241   3.67679905
## 249   27.95021217   0.842304865   6.94737715  -4.89399776  -3.94458285
## 250   27.95021217   0.842304865   6.94737715  -4.89399776  -3.94458285
## 251   27.95021217   0.842304865   6.94737715  -4.89399776  -3.94458285
## 252   27.95021217   0.842304865   6.94737715  -4.89399776  -3.94458285
## 253   27.95021217   0.842304865   6.94737715  -4.89399776  -3.94458285
## 254   27.95021217   0.842304865   6.94737715  -4.89399776  -3.94458285
## 255   27.95021217   0.842304865   6.94737715  -4.89399776  -3.94458285
## 256   27.95021217   0.842304865   6.94737715  -4.89399776  -3.94458285
## 257    3.42147483  -3.405344622   5.69719013  -0.37329023  12.00024148
## 258    3.42147483  -3.405344622   5.69719013  -0.37329023  12.00024148
## 259    3.42147483  -3.405344622   5.69719013  -0.37329023  12.00024148
## 260    3.42147483  -3.405344622   5.69719013  -0.37329023  12.00024148
## 261    3.42147483  -3.405344622   5.69719013  -0.37329023  12.00024148
## 262    3.42147483  -3.405344622   5.69719013  -0.37329023  12.00024148
## 263    3.42147483  -3.405344622   5.69719013  -0.37329023  12.00024148
## 264    3.42147483  -3.405344622   5.69719013  -0.37329023  12.00024148
## 265    7.80826119  -9.036421065  26.92696718  -5.57485603  -4.10411881
## 266    7.80826119  -9.036421065  26.92696718  -5.57485603  -4.10411881
## 267    7.80826119  -9.036421065  26.92696718  -5.57485603  -4.10411881
## 268    7.80826119  -9.036421065  26.92696718  -5.57485603  -4.10411881
## 269    7.80826119  -9.036421065  26.92696718  -5.57485603  -4.10411881
## 270    7.80826119  -9.036421065  26.92696718  -5.57485603  -4.10411881
## 271    7.80826119  -9.036421065  26.92696718  -5.57485603  -4.10411881
## 272    7.80826119  -9.036421065  26.92696718  -5.57485603  -4.10411881
## 273    6.75513523   1.104031959  -5.69231672 -10.72471513  -0.22107448
## 274    6.75513523   1.104031959  -5.69231672 -10.72471513  -0.22107448
## 275    6.75513523   1.104031959  -5.69231672 -10.72471513  -0.22107448
## 276    6.75513523   1.104031959  -5.69231672 -10.72471513  -0.22107448
## 277    6.75513523   1.104031959  -5.69231672 -10.72471513  -0.22107448
## 278    6.75513523   1.104031959  -5.69231672 -10.72471513  -0.22107448
## 279    6.75513523   1.104031959  -5.69231672 -10.72471513  -0.22107448
## 280    6.75513523   1.104031959  -5.69231672 -10.72471513  -0.22107448
## 281    0.04268940   7.977385876  12.03105482   0.66642553  -3.83246938
## 282    0.04268940   7.977385876  12.03105482   0.66642553  -3.83246938
## 283    0.04268940   7.977385876  12.03105482   0.66642553  -3.83246938
## 284    0.04268940   7.977385876  12.03105482   0.66642553  -3.83246938
## 285    0.04268940   7.977385876  12.03105482   0.66642553  -3.83246938
## 286    0.04268940   7.977385876  12.03105482   0.66642553  -3.83246938
## 287    0.04268940   7.977385876  12.03105482   0.66642553  -3.83246938
## 288    0.04268940   7.977385876  12.03105482   0.66642553  -3.83246938
## 289  -28.33479307  -6.288111074  -9.42681221  -1.53258299   5.24389421
## 290  -28.33479307  -6.288111074  -9.42681221  -1.53258299   5.24389421
## 291  -28.33479307  -6.288111074  -9.42681221  -1.53258299   5.24389421
## 292  -28.33479307  -6.288111074  -9.42681221  -1.53258299   5.24389421
## 293  -28.33479307  -6.288111074  -9.42681221  -1.53258299   5.24389421
## 294  -28.33479307  -6.288111074  -9.42681221  -1.53258299   5.24389421
## 295  -28.33479307  -6.288111074  -9.42681221  -1.53258299   5.24389421
## 296  -28.33479307  -6.288111074  -9.42681221  -1.53258299   5.24389421
## 297    4.65229090  -2.577755114   0.01068608  -0.05578731  -2.83587860
## 298    4.65229090  -2.577755114   0.01068608  -0.05578731  -2.83587860
## 299    4.65229090  -2.577755114   0.01068608  -0.05578731  -2.83587860
## 300    4.65229090  -2.577755114   0.01068608  -0.05578731  -2.83587860
## 301    4.65229090  -2.577755114   0.01068608  -0.05578731  -2.83587860
## 302    4.65229090  -2.577755114   0.01068608  -0.05578731  -2.83587860
## 303    4.65229090  -2.577755114   0.01068608  -0.05578731  -2.83587860
## 304    4.65229090  -2.577755114   0.01068608  -0.05578731  -2.83587860
## 305    2.92893901  -3.493586343   5.83874264  -0.72543734   8.80137947
## 306    2.92893901  -3.493586343   5.83874264  -0.72543734   8.80137947
## 307    2.92893901  -3.493586343   5.83874264  -0.72543734   8.80137947
## 308    2.92893901  -3.493586343   5.83874264  -0.72543734   8.80137947
## 309    2.92893901  -3.493586343   5.83874264  -0.72543734   8.80137947
## 310    2.92893901  -3.493586343   5.83874264  -0.72543734   8.80137947
## 311    2.92893901  -3.493586343   5.83874264  -0.72543734   8.80137947
## 312    2.92893901  -3.493586343   5.83874264  -0.72543734   8.80137947
## 313   -0.08739534  -8.745635440   7.50212419  -5.66527042   5.34188566
## 314   -0.08739534  -8.745635440   7.50212419  -5.66527042   5.34188566
## 315   -0.08739534  -8.745635440   7.50212419  -5.66527042   5.34188566
## 316   -0.08739534  -8.745635440   7.50212419  -5.66527042   5.34188566
## 317   -0.08739534  -8.745635440   7.50212419  -5.66527042   5.34188566
## 318   -0.08739534  -8.745635440   7.50212419  -5.66527042   5.34188566
## 319   -0.08739534  -8.745635440   7.50212419  -5.66527042   5.34188566
## 320   -0.08739534  -8.745635440   7.50212419  -5.66527042   5.34188566
## 321    3.95828787  -9.720817468  30.35354167  -2.51438950  -1.32251800
## 322    3.95828787  -9.720817468  30.35354167  -2.51438950  -1.32251800
## 323    3.95828787  -9.720817468  30.35354167  -2.51438950  -1.32251800
## 324    3.95828787  -9.720817468  30.35354167  -2.51438950  -1.32251800
## 325    3.95828787  -9.720817468  30.35354167  -2.51438950  -1.32251800
## 326    3.95828787  -9.720817468  30.35354167  -2.51438950  -1.32251800
## 327    3.95828787  -9.720817468  30.35354167  -2.51438950  -1.32251800
## 328    3.95828787  -9.720817468  30.35354167  -2.51438950  -1.32251800
## 329    5.17709949  -8.618996388  -1.21252900   1.45598940   4.01930642
## 330    5.17709949  -8.618996388  -1.21252900   1.45598940   4.01930642
## 331    5.17709949  -8.618996388  -1.21252900   1.45598940   4.01930642
## 332    5.17709949  -8.618996388  -1.21252900   1.45598940   4.01930642
## 333    5.17709949  -8.618996388  -1.21252900   1.45598940   4.01930642
## 334    5.17709949  -8.618996388  -1.21252900   1.45598940   4.01930642
## 335    5.17709949  -8.618996388  -1.21252900   1.45598940   4.01930642
## 336    5.17709949  -8.618996388  -1.21252900   1.45598940   4.01930642
## 337   -8.58756225 -20.675801024  -5.55724941   3.18445394  -1.45364134
## 338   -8.58756225 -20.675801024  -5.55724941   3.18445394  -1.45364134
## 339   -8.58756225 -20.675801024  -5.55724941   3.18445394  -1.45364134
## 340   -8.58756225 -20.675801024  -5.55724941   3.18445394  -1.45364134
## 341   -8.58756225 -20.675801024  -5.55724941   3.18445394  -1.45364134
## 342   -8.58756225 -20.675801024  -5.55724941   3.18445394  -1.45364134
## 343   -8.58756225 -20.675801024  -5.55724941   3.18445394  -1.45364134
## 344   -8.58756225 -20.675801024  -5.55724941   3.18445394  -1.45364134
## 345   10.75102699  22.181274683 -13.18277069  -3.77593472  -1.65385986
## 346   10.75102699  22.181274683 -13.18277069  -3.77593472  -1.65385986
## 347   10.75102699  22.181274683 -13.18277069  -3.77593472  -1.65385986
## 348   10.75102699  22.181274683 -13.18277069  -3.77593472  -1.65385986
## 349   10.75102699  22.181274683 -13.18277069  -3.77593472  -1.65385986
## 350   10.75102699  22.181274683 -13.18277069  -3.77593472  -1.65385986
## 351   10.75102699  22.181274683 -13.18277069  -3.77593472  -1.65385986
## 352   10.75102699  22.181274683 -13.18277069  -3.77593472  -1.65385986
## 353   -9.75539033   4.282958473  -8.72579284   2.40907847   0.69539276
## 354   -9.75539033   4.282958473  -8.72579284   2.40907847   0.69539276
## 355   -9.75539033   4.282958473  -8.72579284   2.40907847   0.69539276
## 356   -9.75539033   4.282958473  -8.72579284   2.40907847   0.69539276
## 357   -9.75539033   4.282958473  -8.72579284   2.40907847   0.69539276
## 358   -9.75539033   4.282958473  -8.72579284   2.40907847   0.69539276
## 359   -9.75539033   4.282958473  -8.72579284   2.40907847   0.69539276
## 360   -9.75539033   4.282958473  -8.72579284   2.40907847   0.69539276
## 361   -1.10684775  -8.692274776   7.31590918 -36.22738805  -1.51095448
## 362   -1.10684775  -8.692274776   7.31590918 -36.22738805  -1.51095448
## 363   -1.10684775  -8.692274776   7.31590918 -36.22738805  -1.51095448
## 364   -1.10684775  -8.692274776   7.31590918 -36.22738805  -1.51095448
## 365   -1.10684775  -8.692274776   7.31590918 -36.22738805  -1.51095448
## 366   -1.10684775  -8.692274776   7.31590918 -36.22738805  -1.51095448
## 367   -1.10684775  -8.692274776   7.31590918 -36.22738805  -1.51095448
## 368   -1.10684775  -8.692274776   7.31590918 -36.22738805  -1.51095448
## 369   -4.42465777   2.859949092   9.07246959  -0.89797857   1.27493889
## 370   -4.42465777   2.859949092   9.07246959  -0.89797857   1.27493889
## 371   -4.42465777   2.859949092   9.07246959  -0.89797857   1.27493889
## 372   -4.42465777   2.859949092   9.07246959  -0.89797857   1.27493889
## 373   -4.42465777   2.859949092   9.07246959  -0.89797857   1.27493889
## 374   -4.42465777   2.859949092   9.07246959  -0.89797857   1.27493889
## 375   -4.42465777   2.859949092   9.07246959  -0.89797857   1.27493889
## 376   -4.42465777   2.859949092   9.07246959  -0.89797857   1.27493889
## 377   -4.55308938   6.273931218  -5.26483339   0.91359878   9.88043580
## 378   -4.55308938   6.273931218  -5.26483339   0.91359878   9.88043580
## 379   -4.55308938   6.273931218  -5.26483339   0.91359878   9.88043580
## 380   -4.55308938   6.273931218  -5.26483339   0.91359878   9.88043580
## 381   -4.55308938   6.273931218  -5.26483339   0.91359878   9.88043580
## 382   -4.55308938   6.273931218  -5.26483339   0.91359878   9.88043580
## 383   -4.55308938   6.273931218  -5.26483339   0.91359878   9.88043580
## 384   -4.55308938   6.273931218  -5.26483339   0.91359878   9.88043580
## 385   -1.09290882  -5.265535464   1.42626405   1.43036707 -50.79094482
## 386   -1.09290882  -5.265535464   1.42626405   1.43036707 -50.79094482
## 387   -1.09290882  -5.265535464   1.42626405   1.43036707 -50.79094482
## 388   -1.09290882  -5.265535464   1.42626405   1.43036707 -50.79094482
## 389   -1.09290882  -5.265535464   1.42626405   1.43036707 -50.79094482
## 390   -1.09290882  -5.265535464   1.42626405   1.43036707 -50.79094482
## 391   -1.09290882  -5.265535464   1.42626405   1.43036707 -50.79094482
## 392   -1.09290882  -5.265535464   1.42626405   1.43036707 -50.79094482
## 393    0.81268324   0.682438918  -3.13365407  -3.61018124 -17.27078869
## 394    0.81268324   0.682438918  -3.13365407  -3.61018124 -17.27078869
## 395    0.81268324   0.682438918  -3.13365407  -3.61018124 -17.27078869
## 396    0.81268324   0.682438918  -3.13365407  -3.61018124 -17.27078869
## 397    0.81268324   0.682438918  -3.13365407  -3.61018124 -17.27078869
## 398    0.81268324   0.682438918  -3.13365407  -3.61018124 -17.27078869
## 399    0.81268324   0.682438918  -3.13365407  -3.61018124 -17.27078869
## 400    0.81268324   0.682438918  -3.13365407  -3.61018124 -17.27078869
## 401    8.12876939   6.588284489 -38.02769360  -2.18857959  -0.75549500
## 402    8.12876939   6.588284489 -38.02769360  -2.18857959  -0.75549500
## 403    8.12876939   6.588284489 -38.02769360  -2.18857959  -0.75549500
## 404    8.12876939   6.588284489 -38.02769360  -2.18857959  -0.75549500
## 405    8.12876939   6.588284489 -38.02769360  -2.18857959  -0.75549500
## 406    8.12876939   6.588284489 -38.02769360  -2.18857959  -0.75549500
## 407    8.12876939   6.588284489 -38.02769360  -2.18857959  -0.75549500
## 408    8.12876939   6.588284489 -38.02769360  -2.18857959  -0.75549500
## 409  -12.78056045   5.891150798  21.21160764  -5.13557574  -0.77319730
## 410  -12.78056045   5.891150798  21.21160764  -5.13557574  -0.77319730
## 411  -12.78056045   5.891150798  21.21160764  -5.13557574  -0.77319730
## 412  -12.78056045   5.891150798  21.21160764  -5.13557574  -0.77319730
## 413  -12.78056045   5.891150798  21.21160764  -5.13557574  -0.77319730
## 414  -12.78056045   5.891150798  21.21160764  -5.13557574  -0.77319730
## 415  -12.78056045   5.891150798  21.21160764  -5.13557574  -0.77319730
## 416  -12.78056045   5.891150798  21.21160764  -5.13557574  -0.77319730
## 417   -2.60726482  -1.508314344   8.94535505  -2.77011723  25.54883827
## 418   -2.60726482  -1.508314344   8.94535505  -2.77011723  25.54883827
## 419   -2.60726482  -1.508314344   8.94535505  -2.77011723  25.54883827
## 420   -2.60726482  -1.508314344   8.94535505  -2.77011723  25.54883827
## 421   -2.60726482  -1.508314344   8.94535505  -2.77011723  25.54883827
## 422   -2.60726482  -1.508314344   8.94535505  -2.77011723  25.54883827
## 423   -2.60726482  -1.508314344   8.94535505  -2.77011723  25.54883827
## 424   -2.60726482  -1.508314344   8.94535505  -2.77011723  25.54883827
## 425   -1.69166644   2.264571878  32.86070054  -5.22871325   1.77713484
## 426   -1.69166644   2.264571878  32.86070054  -5.22871325   1.77713484
## 427   -1.69166644   2.264571878  32.86070054  -5.22871325   1.77713484
## 428   -1.69166644   2.264571878  32.86070054  -5.22871325   1.77713484
## 429   -1.69166644   2.264571878  32.86070054  -5.22871325   1.77713484
## 430   -1.69166644   2.264571878  32.86070054  -5.22871325   1.77713484
## 431   -1.69166644   2.264571878  32.86070054  -5.22871325   1.77713484
## 432   -1.69166644   2.264571878  32.86070054  -5.22871325   1.77713484
## 433   30.50802783  -5.084916804  -8.40833279   0.65993252   3.98157643
## 434   30.50802783  -5.084916804  -8.40833279   0.65993252   3.98157643
## 435   30.50802783  -5.084916804  -8.40833279   0.65993252   3.98157643
## 436   30.50802783  -5.084916804  -8.40833279   0.65993252   3.98157643
## 437   30.50802783  -5.084916804  -8.40833279   0.65993252   3.98157643
## 438   30.50802783  -5.084916804  -8.40833279   0.65993252   3.98157643
## 439   30.50802783  -5.084916804  -8.40833279   0.65993252   3.98157643
## 440   30.50802783  -5.084916804  -8.40833279   0.65993252   3.98157643
## 441    0.65222459   1.472353341  -8.22680365 -17.62738156  -0.11013758
## 442    0.65222459   1.472353341  -8.22680365 -17.62738156  -0.11013758
## 443    0.65222459   1.472353341  -8.22680365 -17.62738156  -0.11013758
## 444    0.65222459   1.472353341  -8.22680365 -17.62738156  -0.11013758
## 445    0.65222459   1.472353341  -8.22680365 -17.62738156  -0.11013758
## 446    0.65222459   1.472353341  -8.22680365 -17.62738156  -0.11013758
## 447    0.65222459   1.472353341  -8.22680365 -17.62738156  -0.11013758
## 448    0.65222459   1.472353341  -8.22680365 -17.62738156  -0.11013758
## 449   22.34823019   2.030376932  -0.04216746  -2.37476356  -5.45079957
## 450   22.34823019   2.030376932  -0.04216746  -2.37476356  -5.45079957
## 451   22.34823019   2.030376932  -0.04216746  -2.37476356  -5.45079957
## 452   22.34823019   2.030376932  -0.04216746  -2.37476356  -5.45079957
## 453   22.34823019   2.030376932  -0.04216746  -2.37476356  -5.45079957
## 454   22.34823019   2.030376932  -0.04216746  -2.37476356  -5.45079957
## 455   22.34823019   2.030376932  -0.04216746  -2.37476356  -5.45079957
## 456   22.34823019   2.030376932  -0.04216746  -2.37476356  -5.45079957
## 457   65.75362085  -5.853219015  -1.95697856  -5.71655511   8.23670988
## 458   65.75362085  -5.853219015  -1.95697856  -5.71655511   8.23670988
## 459   65.75362085  -5.853219015  -1.95697856  -5.71655511   8.23670988
## 460   65.75362085  -5.853219015  -1.95697856  -5.71655511   8.23670988
## 461   65.75362085  -5.853219015  -1.95697856  -5.71655511   8.23670988
## 462   65.75362085  -5.853219015  -1.95697856  -5.71655511   8.23670988
## 463   65.75362085  -5.853219015  -1.95697856  -5.71655511   8.23670988
## 464   65.75362085  -5.853219015  -1.95697856  -5.71655511   8.23670988
## 465    4.40596318  -6.102981448  -1.14712572  -0.17807382   2.21855205
## 466    4.40596318  -6.102981448  -1.14712572  -0.17807382   2.21855205
## 467    4.40596318  -6.102981448  -1.14712572  -0.17807382   2.21855205
## 468    4.40596318  -6.102981448  -1.14712572  -0.17807382   2.21855205
## 469    4.40596318  -6.102981448  -1.14712572  -0.17807382   2.21855205
## 470    4.40596318  -6.102981448  -1.14712572  -0.17807382   2.21855205
## 471    4.40596318  -6.102981448  -1.14712572  -0.17807382   2.21855205
## 472    4.40596318  -6.102981448  -1.14712572  -0.17807382   2.21855205
## 473    1.95458379  66.471411331   6.06591513 -11.01403709  -1.29281705
## 474    1.95458379  66.471411331   6.06591513 -11.01403709  -1.29281705
## 475    1.95458379  66.471411331   6.06591513 -11.01403709  -1.29281705
## 476    1.95458379  66.471411331   6.06591513 -11.01403709  -1.29281705
## 477    1.95458379  66.471411331   6.06591513 -11.01403709  -1.29281705
## 478    1.95458379  66.471411331   6.06591513 -11.01403709  -1.29281705
## 479    1.95458379  66.471411331   6.06591513 -11.01403709  -1.29281705
## 480    1.95458379  66.471411331   6.06591513 -11.01403709  -1.29281705
## 481   -0.41702662  33.960245980  -3.73678572  11.75068048  -0.40583891
## 482   -0.41702662  33.960245980  -3.73678572  11.75068048  -0.40583891
## 483   -0.41702662  33.960245980  -3.73678572  11.75068048  -0.40583891
## 484   -0.41702662  33.960245980  -3.73678572  11.75068048  -0.40583891
## 485   -0.41702662  33.960245980  -3.73678572  11.75068048  -0.40583891
## 486   -0.41702662  33.960245980  -3.73678572  11.75068048  -0.40583891
## 487   -0.41702662  33.960245980  -3.73678572  11.75068048  -0.40583891
## 488   -0.41702662  33.960245980  -3.73678572  11.75068048  -0.40583891
## 489   -0.91491679 -26.623958552  -5.21181171   1.90670788  -1.59621909
## 490   -0.91491679 -26.623958552  -5.21181171   1.90670788  -1.59621909
## 491   -0.91491679 -26.623958552  -5.21181171   1.90670788  -1.59621909
## 492   -0.91491679 -26.623958552  -5.21181171   1.90670788  -1.59621909
## 493   -0.91491679 -26.623958552  -5.21181171   1.90670788  -1.59621909
## 494   -0.91491679 -26.623958552  -5.21181171   1.90670788  -1.59621909
## 495   -0.91491679 -26.623958552  -5.21181171   1.90670788  -1.59621909
## 496   -0.91491679 -26.623958552  -5.21181171   1.90670788  -1.59621909
## 497  -11.43759101  -4.174457880   0.94356922  -0.91892301  -3.97540662
## 498  -11.43759101  -4.174457880   0.94356922  -0.91892301  -3.97540662
## 499  -11.43759101  -4.174457880   0.94356922  -0.91892301  -3.97540662
## 500  -11.43759101  -4.174457880   0.94356922  -0.91892301  -3.97540662
## 501  -11.43759101  -4.174457880   0.94356922  -0.91892301  -3.97540662
## 502  -11.43759101  -4.174457880   0.94356922  -0.91892301  -3.97540662
## 503  -11.43759101  -4.174457880   0.94356922  -0.91892301  -3.97540662
## 504  -11.43759101  -4.174457880   0.94356922  -0.91892301  -3.97540662
## 505   -6.60780356  -7.498699262  -2.08110260  -0.98357903  -0.62453740
## 506   -6.60780356  -7.498699262  -2.08110260  -0.98357903  -0.62453740
## 507   -6.60780356  -7.498699262  -2.08110260  -0.98357903  -0.62453740
## 508   -6.60780356  -7.498699262  -2.08110260  -0.98357903  -0.62453740
## 509   -6.60780356  -7.498699262  -2.08110260  -0.98357903  -0.62453740
## 510   -6.60780356  -7.498699262  -2.08110260  -0.98357903  -0.62453740
## 511   -6.60780356  -7.498699262  -2.08110260  -0.98357903  -0.62453740
## 512   -6.60780356  -7.498699262  -2.08110260  -0.98357903  -0.62453740
## 513    6.53644864   1.934107970  -5.80380092   4.21174276   5.15059560
## 514    6.53644864   1.934107970  -5.80380092   4.21174276   5.15059560
## 515    6.53644864   1.934107970  -5.80380092   4.21174276   5.15059560
## 516    6.53644864   1.934107970  -5.80380092   4.21174276   5.15059560
## 517    6.53644864   1.934107970  -5.80380092   4.21174276   5.15059560
## 518    6.53644864   1.934107970  -5.80380092   4.21174276   5.15059560
## 519    6.53644864   1.934107970  -5.80380092   4.21174276   5.15059560
## 520    6.53644864   1.934107970  -5.80380092   4.21174276   5.15059560
## 521    8.45956096  -2.742258216   4.45147533  -3.20425174   3.78507571
## 522    8.45956096  -2.742258216   4.45147533  -3.20425174   3.78507571
## 523    8.45956096  -2.742258216   4.45147533  -3.20425174   3.78507571
## 524    8.45956096  -2.742258216   4.45147533  -3.20425174   3.78507571
## 525    8.45956096  -2.742258216   4.45147533  -3.20425174   3.78507571
## 526    8.45956096  -2.742258216   4.45147533  -3.20425174   3.78507571
## 527    8.45956096  -2.742258216   4.45147533  -3.20425174   3.78507571
## 528    8.45956096  -2.742258216   4.45147533  -3.20425174   3.78507571
## 529    2.06635794 -46.825289129  -8.79853102   9.21287512  -0.12327856
## 530    2.06635794 -46.825289129  -8.79853102   9.21287512  -0.12327856
## 531    2.06635794 -46.825289129  -8.79853102   9.21287512  -0.12327856
## 532    2.06635794 -46.825289129  -8.79853102   9.21287512  -0.12327856
## 533    2.06635794 -46.825289129  -8.79853102   9.21287512  -0.12327856
## 534    2.06635794 -46.825289129  -8.79853102   9.21287512  -0.12327856
## 535    2.06635794 -46.825289129  -8.79853102   9.21287512  -0.12327856
## 536    2.06635794 -46.825289129  -8.79853102   9.21287512  -0.12327856
## 537  -16.45095710   2.353098227   5.68708473  -2.13109140   1.97646350
## 538  -16.45095710   2.353098227   5.68708473  -2.13109140   1.97646350
## 539  -16.45095710   2.353098227   5.68708473  -2.13109140   1.97646350
## 540  -16.45095710   2.353098227   5.68708473  -2.13109140   1.97646350
## 541  -16.45095710   2.353098227   5.68708473  -2.13109140   1.97646350
## 542  -16.45095710   2.353098227   5.68708473  -2.13109140   1.97646350
## 543  -16.45095710   2.353098227   5.68708473  -2.13109140   1.97646350
## 544  -16.45095710   2.353098227   5.68708473  -2.13109140   1.97646350
## 545   -0.83908442  -5.300983794   0.88252427  -2.13695440   5.20228397
## 546   -0.83908442  -5.300983794   0.88252427  -2.13695440   5.20228397
## 547   -0.83908442  -5.300983794   0.88252427  -2.13695440   5.20228397
## 548   -0.83908442  -5.300983794   0.88252427  -2.13695440   5.20228397
## 549   -0.83908442  -5.300983794   0.88252427  -2.13695440   5.20228397
## 550   -0.83908442  -5.300983794   0.88252427  -2.13695440   5.20228397
## 551   -0.83908442  -5.300983794   0.88252427  -2.13695440   5.20228397
## 552   -0.83908442  -5.300983794   0.88252427  -2.13695440   5.20228397
## 553    3.67129002   0.205674873   5.61116123   2.91123468  -2.33618969
## 554    3.67129002   0.205674873   5.61116123   2.91123468  -2.33618969
## 555    3.67129002   0.205674873   5.61116123   2.91123468  -2.33618969
## 556    3.67129002   0.205674873   5.61116123   2.91123468  -2.33618969
## 557    3.67129002   0.205674873   5.61116123   2.91123468  -2.33618969
## 558    3.67129002   0.205674873   5.61116123   2.91123468  -2.33618969
## 559    3.67129002   0.205674873   5.61116123   2.91123468  -2.33618969
## 560    3.67129002   0.205674873   5.61116123   2.91123468  -2.33618969
## 561   -4.33213587   4.359516986   4.75840141   0.99261810   8.07337577
## 562   -4.33213587   4.359516986   4.75840141   0.99261810   8.07337577
## 563   -4.33213587   4.359516986   4.75840141   0.99261810   8.07337577
## 564   -4.33213587   4.359516986   4.75840141   0.99261810   8.07337577
## 565   -4.33213587   4.359516986   4.75840141   0.99261810   8.07337577
## 566   -4.33213587   4.359516986   4.75840141   0.99261810   8.07337577
## 567   -4.33213587   4.359516986   4.75840141   0.99261810   8.07337577
## 568   -4.33213587   4.359516986   4.75840141   0.99261810   8.07337577
## 569    2.34841953   1.094882078  -1.34485025  -1.30411430   0.58758898
## 570    2.34841953   1.094882078  -1.34485025  -1.30411430   0.58758898
## 571    2.34841953   1.094882078  -1.34485025  -1.30411430   0.58758898
## 572    2.34841953   1.094882078  -1.34485025  -1.30411430   0.58758898
## 573    2.34841953   1.094882078  -1.34485025  -1.30411430   0.58758898
## 574    2.34841953   1.094882078  -1.34485025  -1.30411430   0.58758898
## 575    2.34841953   1.094882078  -1.34485025  -1.30411430   0.58758898
## 576    2.34841953   1.094882078  -1.34485025  -1.30411430   0.58758898
## 577   -6.58341182  -0.923209922  13.87079683  -2.22692010  -3.82596873
## 578   -6.58341182  -0.923209922  13.87079683  -2.22692010  -3.82596873
## 579   -6.58341182  -0.923209922  13.87079683  -2.22692010  -3.82596873
## 580   -6.58341182  -0.923209922  13.87079683  -2.22692010  -3.82596873
## 581   -6.58341182  -0.923209922  13.87079683  -2.22692010  -3.82596873
## 582   -6.58341182  -0.923209922  13.87079683  -2.22692010  -3.82596873
## 583   -6.58341182  -0.923209922  13.87079683  -2.22692010  -3.82596873
## 584   -6.58341182  -0.923209922  13.87079683  -2.22692010  -3.82596873
## 585   -1.34435487  -6.424569257  -0.20702745  54.10378824   2.64315424
## 586   -1.34435487  -6.424569257  -0.20702745  54.10378824   2.64315424
## 587   -1.34435487  -6.424569257  -0.20702745  54.10378824   2.64315424
## 588   -1.34435487  -6.424569257  -0.20702745  54.10378824   2.64315424
## 589   -1.34435487  -6.424569257  -0.20702745  54.10378824   2.64315424
## 590   -1.34435487  -6.424569257  -0.20702745  54.10378824   2.64315424
## 591   -1.34435487  -6.424569257  -0.20702745  54.10378824   2.64315424
## 592   -1.34435487  -6.424569257  -0.20702745  54.10378824   2.64315424
## 593   -2.35952650  13.759884019   8.60743951   2.92952804   1.21762143
## 594   -2.35952650  13.759884019   8.60743951   2.92952804   1.21762143
## 595   -2.35952650  13.759884019   8.60743951   2.92952804   1.21762143
## 596   -2.35952650  13.759884019   8.60743951   2.92952804   1.21762143
## 597   -2.35952650  13.759884019   8.60743951   2.92952804   1.21762143
## 598   -2.35952650  13.759884019   8.60743951   2.92952804   1.21762143
## 599   -2.35952650  13.759884019   8.60743951   2.92952804   1.21762143
## 600   -2.35952650  13.759884019   8.60743951   2.92952804   1.21762143
## 601  -21.03521017  -5.773741756   9.03987679  -0.06872482  19.14954665
## 602  -21.03521017  -5.773741756   9.03987679  -0.06872482  19.14954665
## 603  -21.03521017  -5.773741756   9.03987679  -0.06872482  19.14954665
## 604  -21.03521017  -5.773741756   9.03987679  -0.06872482  19.14954665
## 605  -21.03521017  -5.773741756   9.03987679  -0.06872482  19.14954665
## 606  -21.03521017  -5.773741756   9.03987679  -0.06872482  19.14954665
## 607  -21.03521017  -5.773741756   9.03987679  -0.06872482  19.14954665
## 608  -21.03521017  -5.773741756   9.03987679  -0.06872482  19.14954665
## 609   -6.68058781  -9.046130329   1.08935083   0.82272242  37.84859925
## 610   -6.68058781  -9.046130329   1.08935083   0.82272242  37.84859925
## 611   -6.68058781  -9.046130329   1.08935083   0.82272242  37.84859925
## 612   -6.68058781  -9.046130329   1.08935083   0.82272242  37.84859925
## 613   -6.68058781  -9.046130329   1.08935083   0.82272242  37.84859925
## 614   -6.68058781  -9.046130329   1.08935083   0.82272242  37.84859925
## 615   -6.68058781  -9.046130329   1.08935083   0.82272242  37.84859925
## 616   -6.68058781  -9.046130329   1.08935083   0.82272242  37.84859925
## 617  -10.43530610  -1.738024961  21.66255821   2.06916724   0.65412346
## 618  -10.43530610  -1.738024961  21.66255821   2.06916724   0.65412346
## 619  -10.43530610  -1.738024961  21.66255821   2.06916724   0.65412346
## 620  -10.43530610  -1.738024961  21.66255821   2.06916724   0.65412346
## 621  -10.43530610  -1.738024961  21.66255821   2.06916724   0.65412346
## 622  -10.43530610  -1.738024961  21.66255821   2.06916724   0.65412346
## 623  -10.43530610  -1.738024961  21.66255821   2.06916724   0.65412346
## 624  -10.43530610  -1.738024961  21.66255821   2.06916724   0.65412346
## 625   15.53346807  -9.107655410  12.92963420   2.02046802  -2.98125149
## 626   15.53346807  -9.107655410  12.92963420   2.02046802  -2.98125149
## 627   15.53346807  -9.107655410  12.92963420   2.02046802  -2.98125149
## 628   15.53346807  -9.107655410  12.92963420   2.02046802  -2.98125149
## 629   15.53346807  -9.107655410  12.92963420   2.02046802  -2.98125149
## 630   15.53346807  -9.107655410  12.92963420   2.02046802  -2.98125149
## 631   15.53346807  -9.107655410  12.92963420   2.02046802  -2.98125149
## 632   15.53346807  -9.107655410  12.92963420   2.02046802  -2.98125149
## 633   20.77041575   4.150623816   9.11223804   2.82630347   6.89249472
## 634   20.77041575   4.150623816   9.11223804   2.82630347   6.89249472
## 635   20.77041575   4.150623816   9.11223804   2.82630347   6.89249472
## 636   20.77041575   4.150623816   9.11223804   2.82630347   6.89249472
## 637   20.77041575   4.150623816   9.11223804   2.82630347   6.89249472
## 638   20.77041575   4.150623816   9.11223804   2.82630347   6.89249472
## 639   20.77041575   4.150623816   9.11223804   2.82630347   6.89249472
## 640   20.77041575   4.150623816   9.11223804   2.82630347   6.89249472
## 641   -5.36082594  -2.352446763   2.70601277 -16.65845462   1.31522662
## 642   -5.36082594  -2.352446763   2.70601277 -16.65845462   1.31522662
## 643   -5.36082594  -2.352446763   2.70601277 -16.65845462   1.31522662
## 644   -5.36082594  -2.352446763   2.70601277 -16.65845462   1.31522662
## 645   -5.36082594  -2.352446763   2.70601277 -16.65845462   1.31522662
## 646   -5.36082594  -2.352446763   2.70601277 -16.65845462   1.31522662
## 647   -5.36082594  -2.352446763   2.70601277 -16.65845462   1.31522662
## 648   -5.36082594  -2.352446763   2.70601277 -16.65845462   1.31522662
## 649  -28.46523563   0.742354615   7.62535794   4.42082255  -4.28412127
## 650  -28.46523563   0.742354615   7.62535794   4.42082255  -4.28412127
## 651  -28.46523563   0.742354615   7.62535794   4.42082255  -4.28412127
## 652  -28.46523563   0.742354615   7.62535794   4.42082255  -4.28412127
## 653  -28.46523563   0.742354615   7.62535794   4.42082255  -4.28412127
## 654  -28.46523563   0.742354615   7.62535794   4.42082255  -4.28412127
## 655  -28.46523563   0.742354615   7.62535794   4.42082255  -4.28412127
## 656  -28.46523563   0.742354615   7.62535794   4.42082255  -4.28412127
## 657    7.39280168 -12.339042274 -47.02798610  -0.07225226  -0.97107289
## 658    7.39280168 -12.339042274 -47.02798610  -0.07225226  -0.97107289
## 659    7.39280168 -12.339042274 -47.02798610  -0.07225226  -0.97107289
## 660    7.39280168 -12.339042274 -47.02798610  -0.07225226  -0.97107289
## 661    7.39280168 -12.339042274 -47.02798610  -0.07225226  -0.97107289
## 662    7.39280168 -12.339042274 -47.02798610  -0.07225226  -0.97107289
## 663    7.39280168 -12.339042274 -47.02798610  -0.07225226  -0.97107289
## 664    7.39280168 -12.339042274 -47.02798610  -0.07225226  -0.97107289
## 665    2.45365935  -9.274518389  14.82312642   9.14702866   2.07951151
## 666    2.45365935  -9.274518389  14.82312642   9.14702866   2.07951151
## 667    2.45365935  -9.274518389  14.82312642   9.14702866   2.07951151
## 668    2.45365935  -9.274518389  14.82312642   9.14702866   2.07951151
## 669    2.45365935  -9.274518389  14.82312642   9.14702866   2.07951151
## 670    2.45365935  -9.274518389  14.82312642   9.14702866   2.07951151
## 671    2.45365935  -9.274518389  14.82312642   9.14702866   2.07951151
## 672    2.45365935  -9.274518389  14.82312642   9.14702866   2.07951151
## 673    6.11315048   1.677522078   6.48035561  -1.11941374 -22.98432132
## 674    6.11315048   1.677522078   6.48035561  -1.11941374 -22.98432132
## 675    6.11315048   1.677522078   6.48035561  -1.11941374 -22.98432132
## 676    6.11315048   1.677522078   6.48035561  -1.11941374 -22.98432132
## 677    6.11315048   1.677522078   6.48035561  -1.11941374 -22.98432132
## 678    6.11315048   1.677522078   6.48035561  -1.11941374 -22.98432132
## 679    6.11315048   1.677522078   6.48035561  -1.11941374 -22.98432132
## 680    6.11315048   1.677522078   6.48035561  -1.11941374 -22.98432132
## 681   12.35643632   2.673497409   4.11433887   4.61821934  -0.26580188
## 682   12.35643632   2.673497409   4.11433887   4.61821934  -0.26580188
## 683   12.35643632   2.673497409   4.11433887   4.61821934  -0.26580188
## 684   12.35643632   2.673497409   4.11433887   4.61821934  -0.26580188
## 685   12.35643632   2.673497409   4.11433887   4.61821934  -0.26580188
## 686   12.35643632   2.673497409   4.11433887   4.61821934  -0.26580188
## 687   12.35643632   2.673497409   4.11433887   4.61821934  -0.26580188
## 688   12.35643632   2.673497409   4.11433887   4.61821934  -0.26580188
## 689   -0.63829246  -3.171868635   1.65322377  -1.32145476 -78.39143279
## 690   -0.63829246  -3.171868635   1.65322377  -1.32145476 -78.39143279
## 691   -0.63829246  -3.171868635   1.65322377  -1.32145476 -78.39143279
## 692   -0.63829246  -3.171868635   1.65322377  -1.32145476 -78.39143279
## 693   -0.63829246  -3.171868635   1.65322377  -1.32145476 -78.39143279
## 694   -0.63829246  -3.171868635   1.65322377  -1.32145476 -78.39143279
## 695   -0.63829246  -3.171868635   1.65322377  -1.32145476 -78.39143279
## 696   -0.63829246  -3.171868635   1.65322377  -1.32145476 -78.39143279
## 697   -1.70944131   4.354776484 -36.66680277  -4.61750638  -0.84649823
## 698   -1.70944131   4.354776484 -36.66680277  -4.61750638  -0.84649823
## 699   -1.70944131   4.354776484 -36.66680277  -4.61750638  -0.84649823
## 700   -1.70944131   4.354776484 -36.66680277  -4.61750638  -0.84649823
## 701   -1.70944131   4.354776484 -36.66680277  -4.61750638  -0.84649823
## 702   -1.70944131   4.354776484 -36.66680277  -4.61750638  -0.84649823
## 703   -1.70944131   4.354776484 -36.66680277  -4.61750638  -0.84649823
## 704   -1.70944131   4.354776484 -36.66680277  -4.61750638  -0.84649823
## 705   -0.85872812  -3.650314875   1.26701121  -3.27060257   4.52816492
## 706   -0.85872812  -3.650314875   1.26701121  -3.27060257   4.52816492
## 707   -0.85872812  -3.650314875   1.26701121  -3.27060257   4.52816492
## 708   -0.85872812  -3.650314875   1.26701121  -3.27060257   4.52816492
## 709   -0.85872812  -3.650314875   1.26701121  -3.27060257   4.52816492
## 710   -0.85872812  -3.650314875   1.26701121  -3.27060257   4.52816492
## 711   -0.85872812  -3.650314875   1.26701121  -3.27060257   4.52816492
## 712   -0.85872812  -3.650314875   1.26701121  -3.27060257   4.52816492
## 713    3.06997634  -2.715268101   2.91649533  -1.17572127  -1.13234396
## 714    3.06997634  -2.715268101   2.91649533  -1.17572127  -1.13234396
## 715    3.06997634  -2.715268101   2.91649533  -1.17572127  -1.13234396
## 716    3.06997634  -2.715268101   2.91649533  -1.17572127  -1.13234396
## 717    3.06997634  -2.715268101   2.91649533  -1.17572127  -1.13234396
## 718    3.06997634  -2.715268101   2.91649533  -1.17572127  -1.13234396
## 719    3.06997634  -2.715268101   2.91649533  -1.17572127  -1.13234396
## 720    3.06997634  -2.715268101   2.91649533  -1.17572127  -1.13234396
## 721  -13.60513465   3.227947905  -1.02580526   2.34797692   1.58302959
## 722  -13.60513465   3.227947905  -1.02580526   2.34797692   1.58302959
## 723  -13.60513465   3.227947905  -1.02580526   2.34797692   1.58302959
## 724  -13.60513465   3.227947905  -1.02580526   2.34797692   1.58302959
## 725  -13.60513465   3.227947905  -1.02580526   2.34797692   1.58302959
## 726  -13.60513465   3.227947905  -1.02580526   2.34797692   1.58302959
## 727  -13.60513465   3.227947905  -1.02580526   2.34797692   1.58302959
## 728  -13.60513465   3.227947905  -1.02580526   2.34797692   1.58302959
## 729    0.08390661   0.832050605   0.78720295  45.01852618   1.60511295
## 730    0.08390661   0.832050605   0.78720295  45.01852618   1.60511295
## 731    0.08390661   0.832050605   0.78720295  45.01852618   1.60511295
## 732    0.08390661   0.832050605   0.78720295  45.01852618   1.60511295
## 733    0.08390661   0.832050605   0.78720295  45.01852618   1.60511295
## 734    0.08390661   0.832050605   0.78720295  45.01852618   1.60511295
## 735    0.08390661   0.832050605   0.78720295  45.01852618   1.60511295
## 736    0.08390661   0.832050605   0.78720295  45.01852618   1.60511295
## 737  -23.24962374   1.263834437  -7.03359189  -3.10312249   7.55084331
## 738  -23.24962374   1.263834437  -7.03359189  -3.10312249   7.55084331
## 739  -23.24962374   1.263834437  -7.03359189  -3.10312249   7.55084331
## 740  -23.24962374   1.263834437  -7.03359189  -3.10312249   7.55084331
## 741  -23.24962374   1.263834437  -7.03359189  -3.10312249   7.55084331
## 742  -23.24962374   1.263834437  -7.03359189  -3.10312249   7.55084331
## 743  -23.24962374   1.263834437  -7.03359189  -3.10312249   7.55084331
## 744  -23.24962374   1.263834437  -7.03359189  -3.10312249   7.55084331
## 745  -14.34494411  -1.002913843   2.32327430  -4.58182201  -1.72191013
## 746  -14.34494411  -1.002913843   2.32327430  -4.58182201  -1.72191013
## 747  -14.34494411  -1.002913843   2.32327430  -4.58182201  -1.72191013
## 748  -14.34494411  -1.002913843   2.32327430  -4.58182201  -1.72191013
## 749  -14.34494411  -1.002913843   2.32327430  -4.58182201  -1.72191013
## 750  -14.34494411  -1.002913843   2.32327430  -4.58182201  -1.72191013
## 751  -14.34494411  -1.002913843   2.32327430  -4.58182201  -1.72191013
## 752  -14.34494411  -1.002913843   2.32327430  -4.58182201  -1.72191013
## 753  -34.82056690   0.478273733  12.98751888  -3.83382015   3.88989692
## 754  -34.82056690   0.478273733  12.98751888  -3.83382015   3.88989692
## 755  -34.82056690   0.478273733  12.98751888  -3.83382015   3.88989692
## 756  -34.82056690   0.478273733  12.98751888  -3.83382015   3.88989692
## 757  -34.82056690   0.478273733  12.98751888  -3.83382015   3.88989692
## 758  -34.82056690   0.478273733  12.98751888  -3.83382015   3.88989692
## 759  -34.82056690   0.478273733  12.98751888  -3.83382015   3.88989692
## 760  -34.82056690   0.478273733  12.98751888  -3.83382015   3.88989692
## 761  -15.47197267  -2.750553690  -5.56693347   2.60008790   1.15361053
## 762  -15.47197267  -2.750553690  -5.56693347   2.60008790   1.15361053
## 763  -15.47197267  -2.750553690  -5.56693347   2.60008790   1.15361053
## 764  -15.47197267  -2.750553690  -5.56693347   2.60008790   1.15361053
## 765  -15.47197267  -2.750553690  -5.56693347   2.60008790   1.15361053
## 766  -15.47197267  -2.750553690  -5.56693347   2.60008790   1.15361053
## 767  -15.47197267  -2.750553690  -5.56693347   2.60008790   1.15361053
## 768  -15.47197267  -2.750553690  -5.56693347   2.60008790   1.15361053
## 769   -9.82779265  -2.772808912  -4.75473327  -1.05709005   0.33562428
## 770   -9.82779265  -2.772808912  -4.75473327  -1.05709005   0.33562428
## 771   -9.82779265  -2.772808912  -4.75473327  -1.05709005   0.33562428
## 772   -9.82779265  -2.772808912  -4.75473327  -1.05709005   0.33562428
## 773   -9.82779265  -2.772808912  -4.75473327  -1.05709005   0.33562428
## 774   -9.82779265  -2.772808912  -4.75473327  -1.05709005   0.33562428
## 775   -9.82779265  -2.772808912  -4.75473327  -1.05709005   0.33562428
## 776   -9.82779265  -2.772808912  -4.75473327  -1.05709005   0.33562428
## 777    4.26371222  -2.982874040   1.69415332   0.42461165  -0.37937028
## 778    4.26371222  -2.982874040   1.69415332   0.42461165  -0.37937028
## 779    4.26371222  -2.982874040   1.69415332   0.42461165  -0.37937028
## 780    4.26371222  -2.982874040   1.69415332   0.42461165  -0.37937028
## 781    4.26371222  -2.982874040   1.69415332   0.42461165  -0.37937028
## 782    4.26371222  -2.982874040   1.69415332   0.42461165  -0.37937028
## 783    4.26371222  -2.982874040   1.69415332   0.42461165  -0.37937028
## 784    4.26371222  -2.982874040   1.69415332   0.42461165  -0.37937028
## 785    1.57001798   1.444710872   2.21311466  35.53356036  -0.84846840
## 786    1.57001798   1.444710872   2.21311466  35.53356036  -0.84846840
## 787    1.57001798   1.444710872   2.21311466  35.53356036  -0.84846840
## 788    1.57001798   1.444710872   2.21311466  35.53356036  -0.84846840
## 789    1.57001798   1.444710872   2.21311466  35.53356036  -0.84846840
## 790    1.57001798   1.444710872   2.21311466  35.53356036  -0.84846840
## 791    1.57001798   1.444710872   2.21311466  35.53356036  -0.84846840
## 792    1.57001798   1.444710872   2.21311466  35.53356036  -0.84846840
## 793   -3.11290060  14.859586664  -1.16403624  -0.69417875  -1.81043823
## 794   -3.11290060  14.859586664  -1.16403624  -0.69417875  -1.81043823
## 795   -3.11290060  14.859586664  -1.16403624  -0.69417875  -1.81043823
## 796   -3.11290060  14.859586664  -1.16403624  -0.69417875  -1.81043823
## 797   -3.11290060  14.859586664  -1.16403624  -0.69417875  -1.81043823
## 798   -3.11290060  14.859586664  -1.16403624  -0.69417875  -1.81043823
## 799   -3.11290060  14.859586664  -1.16403624  -0.69417875  -1.81043823
## 800   -3.11290060  14.859586664  -1.16403624  -0.69417875  -1.81043823
## 801   -9.90211921   1.425525583   1.60035275  -1.39055252  23.27561743
## 802   -9.90211921   1.425525583   1.60035275  -1.39055252  23.27561743
## 803   -9.90211921   1.425525583   1.60035275  -1.39055252  23.27561743
## 804   -9.90211921   1.425525583   1.60035275  -1.39055252  23.27561743
## 805   -9.90211921   1.425525583   1.60035275  -1.39055252  23.27561743
## 806   -9.90211921   1.425525583   1.60035275  -1.39055252  23.27561743
## 807   -9.90211921   1.425525583   1.60035275  -1.39055252  23.27561743
## 808   -9.90211921   1.425525583   1.60035275  -1.39055252  23.27561743
## 809   27.70785252   2.688003737  -4.25575022  -4.42644176  21.04067985
## 810   27.70785252   2.688003737  -4.25575022  -4.42644176  21.04067985
## 811   27.70785252   2.688003737  -4.25575022  -4.42644176  21.04067985
## 812   27.70785252   2.688003737  -4.25575022  -4.42644176  21.04067985
## 813   27.70785252   2.688003737  -4.25575022  -4.42644176  21.04067985
## 814   27.70785252   2.688003737  -4.25575022  -4.42644176  21.04067985
## 815   27.70785252   2.688003737  -4.25575022  -4.42644176  21.04067985
## 816   27.70785252   2.688003737  -4.25575022  -4.42644176  21.04067985
## 817   -4.59381093   3.366327173  -0.71771897  -2.51508571  -2.81719467
## 818   -4.59381093   3.366327173  -0.71771897  -2.51508571  -2.81719467
## 819   -4.59381093   3.366327173  -0.71771897  -2.51508571  -2.81719467
## 820   -4.59381093   3.366327173  -0.71771897  -2.51508571  -2.81719467
## 821   -4.59381093   3.366327173  -0.71771897  -2.51508571  -2.81719467
## 822   -4.59381093   3.366327173  -0.71771897  -2.51508571  -2.81719467
## 823   -4.59381093   3.366327173  -0.71771897  -2.51508571  -2.81719467
## 824   -4.59381093   3.366327173  -0.71771897  -2.51508571  -2.81719467
## 825    0.28784585   3.094761352  16.22119751   3.78307484   1.10742657
## 826    0.28784585   3.094761352  16.22119751   3.78307484   1.10742657
## 827    0.28784585   3.094761352  16.22119751   3.78307484   1.10742657
## 828    0.28784585   3.094761352  16.22119751   3.78307484   1.10742657
## 829    0.28784585   3.094761352  16.22119751   3.78307484   1.10742657
## 830    0.28784585   3.094761352  16.22119751   3.78307484   1.10742657
## 831    0.28784585   3.094761352  16.22119751   3.78307484   1.10742657
## 832    0.28784585   3.094761352  16.22119751   3.78307484   1.10742657
## 833   -1.06532430  -3.075704523   8.13425674  -1.53245424   0.73626052
## 834   -1.06532430  -3.075704523   8.13425674  -1.53245424   0.73626052
## 835   -1.06532430  -3.075704523   8.13425674  -1.53245424   0.73626052
## 836   -1.06532430  -3.075704523   8.13425674  -1.53245424   0.73626052
## 837   -1.06532430  -3.075704523   8.13425674  -1.53245424   0.73626052
## 838   -1.06532430  -3.075704523   8.13425674  -1.53245424   0.73626052
## 839   -1.06532430  -3.075704523   8.13425674  -1.53245424   0.73626052
## 840   -1.06532430  -3.075704523   8.13425674  -1.53245424   0.73626052
## 841  -10.02858002  10.019818908 -11.32123351  -1.42033819   1.99988155
## 842  -10.02858002  10.019818908 -11.32123351  -1.42033819   1.99988155
## 843  -10.02858002  10.019818908 -11.32123351  -1.42033819   1.99988155
## 844  -10.02858002  10.019818908 -11.32123351  -1.42033819   1.99988155
## 845  -10.02858002  10.019818908 -11.32123351  -1.42033819   1.99988155
## 846  -10.02858002  10.019818908 -11.32123351  -1.42033819   1.99988155
## 847  -10.02858002  10.019818908 -11.32123351  -1.42033819   1.99988155
## 848  -10.02858002  10.019818908 -11.32123351  -1.42033819   1.99988155
## 849   -1.93068030  44.505299243  -2.14599077  13.76650046   0.11966788
## 850   -1.93068030  44.505299243  -2.14599077  13.76650046   0.11966788
## 851   -1.93068030  44.505299243  -2.14599077  13.76650046   0.11966788
## 852   -1.93068030  44.505299243  -2.14599077  13.76650046   0.11966788
## 853   -1.93068030  44.505299243  -2.14599077  13.76650046   0.11966788
## 854   -1.93068030  44.505299243  -2.14599077  13.76650046   0.11966788
## 855   -1.93068030  44.505299243  -2.14599077  13.76650046   0.11966788
## 856   -1.93068030  44.505299243  -2.14599077  13.76650046   0.11966788
## 857    0.25914991  17.968258684 -29.61979330   6.11277918   3.03395334
## 858    0.25914991  17.968258684 -29.61979330   6.11277918   3.03395334
## 859    0.25914991  17.968258684 -29.61979330   6.11277918   3.03395334
## 860    0.25914991  17.968258684 -29.61979330   6.11277918   3.03395334
## 861    0.25914991  17.968258684 -29.61979330   6.11277918   3.03395334
## 862    0.25914991  17.968258684 -29.61979330   6.11277918   3.03395334
## 863    0.25914991  17.968258684 -29.61979330   6.11277918   3.03395334
## 864    0.25914991  17.968258684 -29.61979330   6.11277918   3.03395334
## 865   -3.90761515   0.465900689  -1.82707740  -3.84188158  -0.63686527
## 866   -3.90761515   0.465900689  -1.82707740  -3.84188158  -0.63686527
## 867   -3.90761515   0.465900689  -1.82707740  -3.84188158  -0.63686527
## 868   -3.90761515   0.465900689  -1.82707740  -3.84188158  -0.63686527
## 869   -3.90761515   0.465900689  -1.82707740  -3.84188158  -0.63686527
## 870   -3.90761515   0.465900689  -1.82707740  -3.84188158  -0.63686527
## 871   -3.90761515   0.465900689  -1.82707740  -3.84188158  -0.63686527
## 872   -3.90761515   0.465900689  -1.82707740  -3.84188158  -0.63686527
## 873   -0.27783510   7.266163643  -4.76276782   0.69824381   1.84493626
## 874   -0.27783510   7.266163643  -4.76276782   0.69824381   1.84493626
## 875   -0.27783510   7.266163643  -4.76276782   0.69824381   1.84493626
## 876   -0.27783510   7.266163643  -4.76276782   0.69824381   1.84493626
## 877   -0.27783510   7.266163643  -4.76276782   0.69824381   1.84493626
## 878   -0.27783510   7.266163643  -4.76276782   0.69824381   1.84493626
## 879   -0.27783510   7.266163643  -4.76276782   0.69824381   1.84493626
## 880   -0.27783510   7.266163643  -4.76276782   0.69824381   1.84493626
## 881    1.05474049   2.898065775   4.15342449  -1.36788489 -28.47425403
## 882    1.05474049   2.898065775   4.15342449  -1.36788489 -28.47425403
## 883    1.05474049   2.898065775   4.15342449  -1.36788489 -28.47425403
## 884    1.05474049   2.898065775   4.15342449  -1.36788489 -28.47425403
## 885    1.05474049   2.898065775   4.15342449  -1.36788489 -28.47425403
## 886    1.05474049   2.898065775   4.15342449  -1.36788489 -28.47425403
## 887    1.05474049   2.898065775   4.15342449  -1.36788489 -28.47425403
## 888    1.05474049   2.898065775   4.15342449  -1.36788489 -28.47425403
## 889    2.64854567   1.141868540   2.17694796   0.04661010  -0.92782381
## 890    2.64854567   1.141868540   2.17694796   0.04661010  -0.92782381
## 891    2.64854567   1.141868540   2.17694796   0.04661010  -0.92782381
## 892    2.64854567   1.141868540   2.17694796   0.04661010  -0.92782381
## 893    2.64854567   1.141868540   2.17694796   0.04661010  -0.92782381
## 894    2.64854567   1.141868540   2.17694796   0.04661010  -0.92782381
## 895    2.64854567   1.141868540   2.17694796   0.04661010  -0.92782381
## 896    2.64854567   1.141868540   2.17694796   0.04661010  -0.92782381
## 897    2.90918179 -15.035464032  -2.52084723 -25.39980075   1.12249173
## 898    2.90918179 -15.035464032  -2.52084723 -25.39980075   1.12249173
## 899    2.90918179 -15.035464032  -2.52084723 -25.39980075   1.12249173
## 900    2.90918179 -15.035464032  -2.52084723 -25.39980075   1.12249173
## 901    2.90918179 -15.035464032  -2.52084723 -25.39980075   1.12249173
## 902    2.90918179 -15.035464032  -2.52084723 -25.39980075   1.12249173
## 903    2.90918179 -15.035464032  -2.52084723 -25.39980075   1.12249173
## 904    2.90918179 -15.035464032  -2.52084723 -25.39980075   1.12249173
## 905   19.61601983   2.940436732   3.13583976  -4.90257064   5.49507943
## 906   19.61601983   2.940436732   3.13583976  -4.90257064   5.49507943
## 907   19.61601983   2.940436732   3.13583976  -4.90257064   5.49507943
## 908   19.61601983   2.940436732   3.13583976  -4.90257064   5.49507943
## 909   19.61601983   2.940436732   3.13583976  -4.90257064   5.49507943
## 910   19.61601983   2.940436732   3.13583976  -4.90257064   5.49507943
## 911   19.61601983   2.940436732   3.13583976  -4.90257064   5.49507943
## 912   19.61601983   2.940436732   3.13583976  -4.90257064   5.49507943
## 913   -0.94240014  -0.470065579  -2.93227210   3.98315712   1.22904215
## 914   -0.94240014  -0.470065579  -2.93227210   3.98315712   1.22904215
## 915   -0.94240014  -0.470065579  -2.93227210   3.98315712   1.22904215
## 916   -0.94240014  -0.470065579  -2.93227210   3.98315712   1.22904215
## 917   -0.94240014  -0.470065579  -2.93227210   3.98315712   1.22904215
## 918    5.13772516  -0.174784017  -1.24219252   2.77452026 -24.11255015
## 919    5.13772516  -0.174784017  -1.24219252   2.77452026 -24.11255015
## 920    5.13772516  -0.174784017  -1.24219252   2.77452026 -24.11255015
## 921    5.13772516  -0.174784017  -1.24219252   2.77452026 -24.11255015
## 922    5.13772516  -0.174784017  -1.24219252   2.77452026 -24.11255015
## 923            NA            NA           NA           NA           NA
## 924            NA            NA           NA           NA           NA
## 925            NA            NA           NA           NA           NA
## 926            NA            NA           NA           NA           NA
## 927            NA            NA           NA           NA           NA
## 928            NA            NA           NA           NA           NA
## 929            NA            NA           NA           NA           NA
## 930            NA            NA           NA           NA           NA
## 931            NA            NA           NA           NA           NA
## 932            NA            NA           NA           NA           NA
## 933            NA            NA           NA           NA           NA
## 934            NA            NA           NA           NA           NA
## 935            NA            NA           NA           NA           NA
## 936            NA            NA           NA           NA           NA
## 937            NA            NA           NA           NA           NA
## 938    8.98024333   2.132174874  -7.71192754   3.17302434 -24.63663400
## 939    8.98024333   2.132174874  -7.71192754   3.17302434 -24.63663400
## 940    8.98024333   2.132174874  -7.71192754   3.17302434 -24.63663400
## 941    8.98024333   2.132174874  -7.71192754   3.17302434 -24.63663400
## 942    8.98024333   2.132174874  -7.71192754   3.17302434 -24.63663400
## 943            NA            NA           NA           NA           NA
## 944            NA            NA           NA           NA           NA
## 945            NA            NA           NA           NA           NA
## 946            NA            NA           NA           NA           NA
## 947            NA            NA           NA           NA           NA
## 948            NA            NA           NA           NA           NA
## 949            NA            NA           NA           NA           NA
## 950            NA            NA           NA           NA           NA
## 951            NA            NA           NA           NA           NA
## 952            NA            NA           NA           NA           NA
## 953  -12.18125013   9.021279509  -4.87586594  10.85432646   6.07476261
## 954  -12.18125013   9.021279509  -4.87586594  10.85432646   6.07476261
## 955  -12.18125013   9.021279509  -4.87586594  10.85432646   6.07476261
## 956  -12.18125013   9.021279509  -4.87586594  10.85432646   6.07476261
## 957  -12.18125013   9.021279509  -4.87586594  10.85432646   6.07476261
## 958    3.57476691   2.975198291  -4.03096450   3.16846954   7.24614779
## 959    3.57476691   2.975198291  -4.03096450   3.16846954   7.24614779
## 960    3.57476691   2.975198291  -4.03096450   3.16846954   7.24614779
## 961    3.57476691   2.975198291  -4.03096450   3.16846954   7.24614779
## 962    3.57476691   2.975198291  -4.03096450   3.16846954   7.24614779
## 963            NA            NA           NA           NA           NA
## 964            NA            NA           NA           NA           NA
## 965            NA            NA           NA           NA           NA
## 966            NA            NA           NA           NA           NA
## 967            NA            NA           NA           NA           NA
## 968            NA            NA           NA           NA           NA
## 969            NA            NA           NA           NA           NA
## 970            NA            NA           NA           NA           NA
## 971            NA            NA           NA           NA           NA
## 972            NA            NA           NA           NA           NA
## 973    3.62283467 -35.381107747   4.81722061 -19.46452226  -1.65711424
## 974    3.62283467 -35.381107747   4.81722061 -19.46452226  -1.65711424
## 975    3.62283467 -35.381107747   4.81722061 -19.46452226  -1.65711424
## 976    3.62283467 -35.381107747   4.81722061 -19.46452226  -1.65711424
## 977    3.62283467 -35.381107747   4.81722061 -19.46452226  -1.65711424
## 978    4.12955204  10.651683115   6.75244825  -9.76600952   0.79398099
## 979    4.12955204  10.651683115   6.75244825  -9.76600952   0.79398099
## 980    4.12955204  10.651683115   6.75244825  -9.76600952   0.79398099
## 981    4.12955204  10.651683115   6.75244825  -9.76600952   0.79398099
## 982    4.12955204  10.651683115   6.75244825  -9.76600952   0.79398099
## 983            NA            NA           NA           NA           NA
## 984            NA            NA           NA           NA           NA
## 985            NA            NA           NA           NA           NA
## 986            NA            NA           NA           NA           NA
## 987            NA            NA           NA           NA           NA
## 988            NA            NA           NA           NA           NA
## 989            NA            NA           NA           NA           NA
## 990            NA            NA           NA           NA           NA
## 991            NA            NA           NA           NA           NA
## 992            NA            NA           NA           NA           NA
## 993   -2.88199091  -5.067639738  -7.53434821 -43.46308715  -1.53026295
## 994   -2.88199091  -5.067639738  -7.53434821 -43.46308715  -1.53026295
## 995   -2.88199091  -5.067639738  -7.53434821 -43.46308715  -1.53026295
## 996   -2.88199091  -5.067639738  -7.53434821 -43.46308715  -1.53026295
## 997   -2.88199091  -5.067639738  -7.53434821 -43.46308715  -1.53026295
## 998            NA            NA           NA           NA           NA
## 999            NA            NA           NA           NA           NA
## 1000           NA            NA           NA           NA           NA
## 1001           NA            NA           NA           NA           NA
## 1002           NA            NA           NA           NA           NA
## 1003           NA            NA           NA           NA           NA
## 1004           NA            NA           NA           NA           NA
## 1005           NA            NA           NA           NA           NA
## 1006           NA            NA           NA           NA           NA
## 1007           NA            NA           NA           NA           NA
## 1008  35.53211518   8.251970585   8.39350405   2.08231606   6.53609457
## 1009  35.53211518   8.251970585   8.39350405   2.08231606   6.53609457
## 1010  35.53211518   8.251970585   8.39350405   2.08231606   6.53609457
## 1011  35.53211518   8.251970585   8.39350405   2.08231606   6.53609457
## 1012  35.53211518   8.251970585   8.39350405   2.08231606   6.53609457
## 1013   1.97789611 -17.151969236  -6.65646258   3.85894985  -3.23061727
## 1014   1.97789611 -17.151969236  -6.65646258   3.85894985  -3.23061727
## 1015   1.97789611 -17.151969236  -6.65646258   3.85894985  -3.23061727
## 1016   1.97789611 -17.151969236  -6.65646258   3.85894985  -3.23061727
## 1017   1.97789611 -17.151969236  -6.65646258   3.85894985  -3.23061727
## 1018 -14.04772789   7.840327238  36.60606726   1.56363397   2.08759537
## 1019 -14.04772789   7.840327238  36.60606726   1.56363397   2.08759537
## 1020 -14.04772789   7.840327238  36.60606726   1.56363397   2.08759537
## 1021 -14.04772789   7.840327238  36.60606726   1.56363397   2.08759537
## 1022 -14.04772789   7.840327238  36.60606726   1.56363397   2.08759537
## 1023           NA            NA           NA           NA           NA
## 1024           NA            NA           NA           NA           NA
## 1025           NA            NA           NA           NA           NA
## 1026           NA            NA           NA           NA           NA
## 1027           NA            NA           NA           NA           NA
## 1028           NA            NA           NA           NA           NA
## 1029           NA            NA           NA           NA           NA
## 1030           NA            NA           NA           NA           NA
## 1031           NA            NA           NA           NA           NA
## 1032           NA            NA           NA           NA           NA
## 1033  46.45981581   8.577702070  -5.74975990   5.85166734   4.60127566
## 1034  46.45981581   8.577702070  -5.74975990   5.85166734   4.60127566
## 1035  46.45981581   8.577702070  -5.74975990   5.85166734   4.60127566
## 1036  46.45981581   8.577702070  -5.74975990   5.85166734   4.60127566
## 1037  46.45981581   8.577702070  -5.74975990   5.85166734   4.60127566
## 1038           NA            NA           NA           NA           NA
## 1039           NA            NA           NA           NA           NA
## 1040           NA            NA           NA           NA           NA
## 1041           NA            NA           NA           NA           NA
## 1042           NA            NA           NA           NA           NA
## 1043           NA            NA           NA           NA           NA
## 1044           NA            NA           NA           NA           NA
## 1045           NA            NA           NA           NA           NA
## 1046           NA            NA           NA           NA           NA
## 1047           NA            NA           NA           NA           NA
## 1048           NA            NA           NA           NA           NA
## 1049           NA            NA           NA           NA           NA
## 1050           NA            NA           NA           NA           NA
## 1051           NA            NA           NA           NA           NA
## 1052           NA            NA           NA           NA           NA
## 1053           NA            NA           NA           NA           NA
## 1054           NA            NA           NA           NA           NA
## 1055           NA            NA           NA           NA           NA
## 1056           NA            NA           NA           NA           NA
## 1057           NA            NA           NA           NA           NA
## 1058           NA            NA           NA           NA           NA
## 1059           NA            NA           NA           NA           NA
## 1060           NA            NA           NA           NA           NA
## 1061           NA            NA           NA           NA           NA
## 1062           NA            NA           NA           NA           NA
## 1063           NA            NA           NA           NA           NA
## 1064           NA            NA           NA           NA           NA
## 1065           NA            NA           NA           NA           NA
## 1066           NA            NA           NA           NA           NA
## 1067           NA            NA           NA           NA           NA
## 1068  -4.48410335  63.048573992 -10.63312739  -3.75786515  -0.47004792
## 1069  -4.48410335  63.048573992 -10.63312739  -3.75786515  -0.47004792
## 1070  -4.48410335  63.048573992 -10.63312739  -3.75786515  -0.47004792
## 1071  -4.48410335  63.048573992 -10.63312739  -3.75786515  -0.47004792
## 1072  -4.48410335  63.048573992 -10.63312739  -3.75786515  -0.47004792
## 1073 -10.92135893 -18.690421003  -8.56582134  -6.95008061  -2.35008894
## 1074 -10.92135893 -18.690421003  -8.56582134  -6.95008061  -2.35008894
## 1075 -10.92135893 -18.690421003  -8.56582134  -6.95008061  -2.35008894
## 1076 -10.92135893 -18.690421003  -8.56582134  -6.95008061  -2.35008894
## 1077 -10.92135893 -18.690421003  -8.56582134  -6.95008061  -2.35008894
## 1078           NA            NA           NA           NA           NA
## 1079           NA            NA           NA           NA           NA
## 1080           NA            NA           NA           NA           NA
## 1081           NA            NA           NA           NA           NA
## 1082           NA            NA           NA           NA           NA
## 1083   7.51009511  20.440738847 -32.20312243  13.83024749  -5.32928243
## 1084   7.51009511  20.440738847 -32.20312243  13.83024749  -5.32928243
## 1085   7.51009511  20.440738847 -32.20312243  13.83024749  -5.32928243
## 1086   7.51009511  20.440738847 -32.20312243  13.83024749  -5.32928243
## 1087   7.51009511  20.440738847 -32.20312243  13.83024749  -5.32928243
## 1088           NA            NA           NA           NA           NA
## 1089           NA            NA           NA           NA           NA
## 1090           NA            NA           NA           NA           NA
## 1091           NA            NA           NA           NA           NA
## 1092           NA            NA           NA           NA           NA
## 1093 -24.93638246   3.159903461   3.84695433  -0.27407188   7.12338065
## 1094 -24.93638246   3.159903461   3.84695433  -0.27407188   7.12338065
## 1095 -24.93638246   3.159903461   3.84695433  -0.27407188   7.12338065
## 1096 -24.93638246   3.159903461   3.84695433  -0.27407188   7.12338065
## 1097 -24.93638246   3.159903461   3.84695433  -0.27407188   7.12338065
## 1098           NA            NA           NA           NA           NA
## 1099           NA            NA           NA           NA           NA
## 1100           NA            NA           NA           NA           NA
## 1101           NA            NA           NA           NA           NA
## 1102           NA            NA           NA           NA           NA
## 1103   3.78643692  -3.762732248   6.31147548  -0.92516871 -35.80965116
## 1104   3.78643692  -3.762732248   6.31147548  -0.92516871 -35.80965116
## 1105   3.78643692  -3.762732248   6.31147548  -0.92516871 -35.80965116
## 1106   3.78643692  -3.762732248   6.31147548  -0.92516871 -35.80965116
## 1107   3.78643692  -3.762732248   6.31147548  -0.92516871 -35.80965116
## 1108           NA            NA           NA           NA           NA
## 1109           NA            NA           NA           NA           NA
## 1110           NA            NA           NA           NA           NA
## 1111           NA            NA           NA           NA           NA
## 1112           NA            NA           NA           NA           NA
## 1113 -26.64274722  -0.973405231  -5.44752789   5.33688721  -6.93473637
## 1114 -26.64274722  -0.973405231  -5.44752789   5.33688721  -6.93473637
## 1115 -26.64274722  -0.973405231  -5.44752789   5.33688721  -6.93473637
## 1116 -26.64274722  -0.973405231  -5.44752789   5.33688721  -6.93473637
## 1117 -26.64274722  -0.973405231  -5.44752789   5.33688721  -6.93473637
## 1118 -28.43042049   7.109469587 -36.78276524 -11.85890498   2.02056163
## 1119 -28.43042049   7.109469587 -36.78276524 -11.85890498   2.02056163
## 1120 -28.43042049   7.109469587 -36.78276524 -11.85890498   2.02056163
## 1121 -28.43042049   7.109469587 -36.78276524 -11.85890498   2.02056163
## 1122 -28.43042049   7.109469587 -36.78276524 -11.85890498   2.02056163
## 1123 -50.11736474   7.444100807   8.12156862   1.38901027  -1.32312209
## 1124 -50.11736474   7.444100807   8.12156862   1.38901027  -1.32312209
## 1125 -50.11736474   7.444100807   8.12156862   1.38901027  -1.32312209
## 1126 -50.11736474   7.444100807   8.12156862   1.38901027  -1.32312209
## 1127 -50.11736474   7.444100807   8.12156862   1.38901027  -1.32312209
## 1128           NA            NA           NA           NA           NA
## 1129           NA            NA           NA           NA           NA
## 1130           NA            NA           NA           NA           NA
## 1131           NA            NA           NA           NA           NA
## 1132           NA            NA           NA           NA           NA
## 1133  41.19203949   9.458680131  13.41022305  -1.91136128   8.22491472
## 1134  41.19203949   9.458680131  13.41022305  -1.91136128   8.22491472
## 1135  41.19203949   9.458680131  13.41022305  -1.91136128   8.22491472
## 1136  41.19203949   9.458680131  13.41022305  -1.91136128   8.22491472
## 1137  41.19203949   9.458680131  13.41022305  -1.91136128   8.22491472
## 1138           NA            NA           NA           NA           NA
## 1139           NA            NA           NA           NA           NA
## 1140           NA            NA           NA           NA           NA
## 1141           NA            NA           NA           NA           NA
## 1142           NA            NA           NA           NA           NA
## 1143   2.94011661  14.568084349 -14.08737945  23.91506499   0.21008801
## 1144   2.94011661  14.568084349 -14.08737945  23.91506499   0.21008801
## 1145   2.94011661  14.568084349 -14.08737945  23.91506499   0.21008801
## 1146   2.94011661  14.568084349 -14.08737945  23.91506499   0.21008801
## 1147   2.94011661  14.568084349 -14.08737945  23.91506499   0.21008801
## 1148           NA            NA           NA           NA           NA
## 1149           NA            NA           NA           NA           NA
## 1150           NA            NA           NA           NA           NA
## 1151           NA            NA           NA           NA           NA
## 1152           NA            NA           NA           NA           NA
## 1153 -26.01874244   2.736568724 -27.34788180   2.70649541  -3.63114477
## 1154 -26.01874244   2.736568724 -27.34788180   2.70649541  -3.63114477
## 1155 -26.01874244   2.736568724 -27.34788180   2.70649541  -3.63114477
## 1156 -26.01874244   2.736568724 -27.34788180   2.70649541  -3.63114477
## 1157 -26.01874244   2.736568724 -27.34788180   2.70649541  -3.63114477
## 1158 -45.04955550   2.468159961  14.25904215   7.00583978   1.48443772
## 1159 -45.04955550   2.468159961  14.25904215   7.00583978   1.48443772
## 1160 -45.04955550   2.468159961  14.25904215   7.00583978   1.48443772
## 1161 -45.04955550   2.468159961  14.25904215   7.00583978   1.48443772
## 1162 -45.04955550   2.468159961  14.25904215   7.00583978   1.48443772
## 1163           NA            NA           NA           NA           NA
## 1164           NA            NA           NA           NA           NA
## 1165           NA            NA           NA           NA           NA
## 1166           NA            NA           NA           NA           NA
## 1167           NA            NA           NA           NA           NA
## 1168           NA            NA           NA           NA           NA
## 1169           NA            NA           NA           NA           NA
## 1170           NA            NA           NA           NA           NA
## 1171           NA            NA           NA           NA           NA
## 1172           NA            NA           NA           NA           NA
## 1173           NA            NA           NA           NA           NA
## 1174           NA            NA           NA           NA           NA
## 1175           NA            NA           NA           NA           NA
## 1176           NA            NA           NA           NA           NA
## 1177           NA            NA           NA           NA           NA
## 1178           NA            NA           NA           NA           NA
## 1179           NA            NA           NA           NA           NA
## 1180           NA            NA           NA           NA           NA
## 1181           NA            NA           NA           NA           NA
## 1182           NA            NA           NA           NA           NA
## 1183           NA            NA           NA           NA           NA
## 1184           NA            NA           NA           NA           NA
## 1185           NA            NA           NA           NA           NA
## 1186           NA            NA           NA           NA           NA
## 1187           NA            NA           NA           NA           NA
## 1188 -22.56684504   0.003533636  23.81838222   5.66842826   3.41234350
## 1189 -22.56684504   0.003533636  23.81838222   5.66842826   3.41234350
## 1190 -22.56684504   0.003533636  23.81838222   5.66842826   3.41234350
## 1191 -22.56684504   0.003533636  23.81838222   5.66842826   3.41234350
## 1192 -22.56684504   0.003533636  23.81838222   5.66842826   3.41234350
## 1193  -1.52105664   2.022399044 -21.96870080 -11.42758499   0.59673428
## 1194  -1.52105664   2.022399044 -21.96870080 -11.42758499   0.59673428
## 1195  -1.52105664   2.022399044 -21.96870080 -11.42758499   0.59673428
## 1196  -1.52105664   2.022399044 -21.96870080 -11.42758499   0.59673428
## 1197  -1.52105664   2.022399044 -21.96870080 -11.42758499   0.59673428
## 1198  27.79207346  10.122683048  26.69081827  10.81328468  -5.18140930
## 1199  27.79207346  10.122683048  26.69081827  10.81328468  -5.18140930
## 1200  27.79207346  10.122683048  26.69081827  10.81328468  -5.18140930
## 1201  27.79207346  10.122683048  26.69081827  10.81328468  -5.18140930
## 1202  27.79207346  10.122683048  26.69081827  10.81328468  -5.18140930
## 1203  -5.03061804  10.966474874  93.74827063  -5.76907299  -3.69262739
## 1204  -5.03061804  10.966474874  93.74827063  -5.76907299  -3.69262739
## 1205  -5.03061804  10.966474874  93.74827063  -5.76907299  -3.69262739
## 1206  -5.03061804  10.966474874  93.74827063  -5.76907299  -3.69262739
## 1207  -5.03061804  10.966474874  93.74827063  -5.76907299  -3.69262739
## 1208           NA            NA           NA           NA           NA
## 1209           NA            NA           NA           NA           NA
## 1210           NA            NA           NA           NA           NA
## 1211           NA            NA           NA           NA           NA
## 1212           NA            NA           NA           NA           NA
## 1213   6.49317073   0.506349945  23.42424928  -7.87531849  -0.97032570
## 1214   6.49317073   0.506349945  23.42424928  -7.87531849  -0.97032570
## 1215   6.49317073   0.506349945  23.42424928  -7.87531849  -0.97032570
## 1216   6.49317073   0.506349945  23.42424928  -7.87531849  -0.97032570
## 1217   6.49317073   0.506349945  23.42424928  -7.87531849  -0.97032570
## 1218  35.39043796   1.302891629  12.18776676   8.98375249  -5.60767169
## 1219  35.39043796   1.302891629  12.18776676   8.98375249  -5.60767169
## 1220  35.39043796   1.302891629  12.18776676   8.98375249  -5.60767169
## 1221  35.39043796   1.302891629  12.18776676   8.98375249  -5.60767169
## 1222  35.39043796   1.302891629  12.18776676   8.98375249  -5.60767169
## 1223           NA            NA           NA           NA           NA
## 1224           NA            NA           NA           NA           NA
## 1225           NA            NA           NA           NA           NA
## 1226           NA            NA           NA           NA           NA
## 1227           NA            NA           NA           NA           NA
## 1228           NA            NA           NA           NA           NA
## 1229           NA            NA           NA           NA           NA
## 1230           NA            NA           NA           NA           NA
## 1231           NA            NA           NA           NA           NA
## 1232           NA            NA           NA           NA           NA
## 1233           NA            NA           NA           NA           NA
## 1234           NA            NA           NA           NA           NA
## 1235           NA            NA           NA           NA           NA
## 1236           NA            NA           NA           NA           NA
## 1237           NA            NA           NA           NA           NA
## 1238  28.60592758  -8.766060326 -33.78320260   2.56543683  -1.40904765
## 1239  28.60592758  -8.766060326 -33.78320260   2.56543683  -1.40904765
## 1240  28.60592758  -8.766060326 -33.78320260   2.56543683  -1.40904765
## 1241  28.60592758  -8.766060326 -33.78320260   2.56543683  -1.40904765
## 1242  28.60592758  -8.766060326 -33.78320260   2.56543683  -1.40904765
## 1243   4.37699140  23.046090096   9.73049123  35.08324648  -3.02243345
## 1244   4.37699140  23.046090096   9.73049123  35.08324648  -3.02243345
## 1245   4.37699140  23.046090096   9.73049123  35.08324648  -3.02243345
## 1246   4.37699140  23.046090096   9.73049123  35.08324648  -3.02243345
## 1247   4.37699140  23.046090096   9.73049123  35.08324648  -3.02243345
## 1248           NA            NA           NA           NA           NA
## 1249           NA            NA           NA           NA           NA
## 1250           NA            NA           NA           NA           NA
## 1251           NA            NA           NA           NA           NA
## 1252           NA            NA           NA           NA           NA
## 1253           NA            NA           NA           NA           NA
## 1254           NA            NA           NA           NA           NA
## 1255           NA            NA           NA           NA           NA
## 1256           NA            NA           NA           NA           NA
## 1257           NA            NA           NA           NA           NA
## 1258           NA            NA           NA           NA           NA
## 1259           NA            NA           NA           NA           NA
## 1260           NA            NA           NA           NA           NA
## 1261           NA            NA           NA           NA           NA
## 1262           NA            NA           NA           NA           NA
## 1263  -2.42590034 -15.389952821   3.70594706  -4.89321045   4.33716978
## 1264  -2.42590034 -15.389952821   3.70594706  -4.89321045   4.33716978
## 1265  -2.42590034 -15.389952821   3.70594706  -4.89321045   4.33716978
## 1266  -2.42590034 -15.389952821   3.70594706  -4.89321045   4.33716978
## 1267  -2.42590034 -15.389952821   3.70594706  -4.89321045   4.33716978
## 1268   2.45837568   0.254049031  -1.35675829   6.21290241  33.43746765
## 1269   2.45837568   0.254049031  -1.35675829   6.21290241  33.43746765
## 1270   2.45837568   0.254049031  -1.35675829   6.21290241  33.43746765
## 1271   2.45837568   0.254049031  -1.35675829   6.21290241  33.43746765
## 1272   2.45837568   0.254049031  -1.35675829   6.21290241  33.43746765
## 1273   4.01331706   0.825916976  -1.54158743  36.15143122  -1.60149772
## 1274   4.01331706   0.825916976  -1.54158743  36.15143122  -1.60149772
## 1275   4.01331706   0.825916976  -1.54158743  36.15143122  -1.60149772
## 1276   4.01331706   0.825916976  -1.54158743  36.15143122  -1.60149772
## 1277   4.01331706   0.825916976  -1.54158743  36.15143122  -1.60149772
## 1278   1.53631017  -0.437355805   2.76495286   2.34577752 115.81134828
## 1279   1.53631017  -0.437355805   2.76495286   2.34577752 115.81134828
## 1280   1.53631017  -0.437355805   2.76495286   2.34577752 115.81134828
## 1281   1.53631017  -0.437355805   2.76495286   2.34577752 115.81134828
## 1282   1.53631017  -0.437355805   2.76495286   2.34577752 115.81134828
## 1283   6.37715566 -11.791050538   7.82021936   6.88260337  -0.25535622
## 1284   6.37715566 -11.791050538   7.82021936   6.88260337  -0.25535622
## 1285   6.37715566 -11.791050538   7.82021936   6.88260337  -0.25535622
## 1286   6.37715566 -11.791050538   7.82021936   6.88260337  -0.25535622
## 1287   6.37715566 -11.791050538   7.82021936   6.88260337  -0.25535622
## 1288           NA            NA           NA           NA           NA
## 1289           NA            NA           NA           NA           NA
## 1290           NA            NA           NA           NA           NA
## 1291           NA            NA           NA           NA           NA
## 1292           NA            NA           NA           NA           NA
## 1293           NA            NA           NA           NA           NA
## 1294           NA            NA           NA           NA           NA
## 1295           NA            NA           NA           NA           NA
## 1296           NA            NA           NA           NA           NA
## 1297           NA            NA           NA           NA           NA
## 1298   0.90253176   0.149971735  -2.27746872   5.02280439 -31.02890584
## 1299   0.90253176   0.149971735  -2.27746872   5.02280439 -31.02890584
## 1300   0.90253176   0.149971735  -2.27746872   5.02280439 -31.02890584
## 1301   0.90253176   0.149971735  -2.27746872   5.02280439 -31.02890584
## 1302   0.90253176   0.149971735  -2.27746872   5.02280439 -31.02890584
## 1303           NA            NA           NA           NA           NA
## 1304           NA            NA           NA           NA           NA
## 1305           NA            NA           NA           NA           NA
## 1306           NA            NA           NA           NA           NA
## 1307           NA            NA           NA           NA           NA
## 1308           NA            NA           NA           NA           NA
## 1309           NA            NA           NA           NA           NA
## 1310           NA            NA           NA           NA           NA
## 1311           NA            NA           NA           NA           NA
## 1312           NA            NA           NA           NA           NA
## 1313   2.55903123  19.783684954  -6.61377981 -15.76308821   2.66216675
## 1314   2.55903123  19.783684954  -6.61377981 -15.76308821   2.66216675
## 1315   2.55903123  19.783684954  -6.61377981 -15.76308821   2.66216675
## 1316   2.55903123  19.783684954  -6.61377981 -15.76308821   2.66216675
## 1317   2.55903123  19.783684954  -6.61377981 -15.76308821   2.66216675
## 1318           NA            NA           NA           NA           NA
## 1319           NA            NA           NA           NA           NA
## 1320           NA            NA           NA           NA           NA
## 1321           NA            NA           NA           NA           NA
## 1322           NA            NA           NA           NA           NA
## 1323           NA            NA           NA           NA           NA
## 1324           NA            NA           NA           NA           NA
## 1325           NA            NA           NA           NA           NA
## 1326           NA            NA           NA           NA           NA
## 1327           NA            NA           NA           NA           NA
## 1328           NA            NA           NA           NA           NA
## 1329           NA            NA           NA           NA           NA
## 1330           NA            NA           NA           NA           NA
## 1331           NA            NA           NA           NA           NA
## 1332           NA            NA           NA           NA           NA
## 1333           NA            NA           NA           NA           NA
## 1334           NA            NA           NA           NA           NA
## 1335           NA            NA           NA           NA           NA
## 1336           NA            NA           NA           NA           NA
## 1337           NA            NA           NA           NA           NA
## 1338           NA            NA           NA           NA           NA
## 1339           NA            NA           NA           NA           NA
## 1340           NA            NA           NA           NA           NA
## 1341           NA            NA           NA           NA           NA
## 1342           NA            NA           NA           NA           NA
## 1343           NA            NA           NA           NA           NA
## 1344           NA            NA           NA           NA           NA
## 1345           NA            NA           NA           NA           NA
## 1346           NA            NA           NA           NA           NA
## 1347           NA            NA           NA           NA           NA
## 1348           NA            NA           NA           NA           NA
## 1349           NA            NA           NA           NA           NA
## 1350           NA            NA           NA           NA           NA
## 1351           NA            NA           NA           NA           NA
## 1352           NA            NA           NA           NA           NA
## 1353           NA            NA           NA           NA           NA
## 1354           NA            NA           NA           NA           NA
## 1355           NA            NA           NA           NA           NA
## 1356           NA            NA           NA           NA           NA
## 1357           NA            NA           NA           NA           NA
## 1358           NA            NA           NA           NA           NA
## 1359           NA            NA           NA           NA           NA
## 1360           NA            NA           NA           NA           NA
## 1361           NA            NA           NA           NA           NA
## 1362           NA            NA           NA           NA           NA
## 1363  -3.40210617   0.325429853  -4.59457067  -1.09707236  -3.59392611
## 1364  -3.40210617   0.325429853  -4.59457067  -1.09707236  -3.59392611
## 1365  -3.40210617   0.325429853  -4.59457067  -1.09707236  -3.59392611
## 1366  -3.40210617   0.325429853  -4.59457067  -1.09707236  -3.59392611
## 1367  -3.40210617   0.325429853  -4.59457067  -1.09707236  -3.59392611
## 1368           NA            NA           NA           NA           NA
## 1369           NA            NA           NA           NA           NA
## 1370           NA            NA           NA           NA           NA
## 1371           NA            NA           NA           NA           NA
## 1372           NA            NA           NA           NA           NA
## 1373           NA            NA           NA           NA           NA
## 1374           NA            NA           NA           NA           NA
## 1375           NA            NA           NA           NA           NA
## 1376           NA            NA           NA           NA           NA
## 1377           NA            NA           NA           NA           NA
## 1378   4.84802729   1.805786663  -0.57950197  -7.05643393 -15.26732096
## 1379   4.84802729   1.805786663  -0.57950197  -7.05643393 -15.26732096
## 1380   4.84802729   1.805786663  -0.57950197  -7.05643393 -15.26732096
## 1381   4.84802729   1.805786663  -0.57950197  -7.05643393 -15.26732096
## 1382   4.84802729   1.805786663  -0.57950197  -7.05643393 -15.26732096
## 1383           NA            NA           NA           NA           NA
## 1384           NA            NA           NA           NA           NA
## 1385           NA            NA           NA           NA           NA
## 1386           NA            NA           NA           NA           NA
## 1387           NA            NA           NA           NA           NA
## 1388   1.91062913   0.911001059   2.51284564   4.52419073  -8.95921452
## 1389   1.91062913   0.911001059   2.51284564   4.52419073  -8.95921452
## 1390   1.91062913   0.911001059   2.51284564   4.52419073  -8.95921452
## 1391   1.91062913   0.911001059   2.51284564   4.52419073  -8.95921452
## 1392   1.91062913   0.911001059   2.51284564   4.52419073  -8.95921452
## 1393           NA            NA           NA           NA           NA
## 1394           NA            NA           NA           NA           NA
## 1395           NA            NA           NA           NA           NA
## 1396           NA            NA           NA           NA           NA
## 1397           NA            NA           NA           NA           NA
## 1398           NA            NA           NA           NA           NA
## 1399           NA            NA           NA           NA           NA
## 1400           NA            NA           NA           NA           NA
## 1401           NA            NA           NA           NA           NA
## 1402           NA            NA           NA           NA           NA
## 1403           NA            NA           NA           NA           NA
## 1404           NA            NA           NA           NA           NA
## 1405           NA            NA           NA           NA           NA
## 1406           NA            NA           NA           NA           NA
## 1407           NA            NA           NA           NA           NA
## 1408           NA            NA           NA           NA           NA
## 1409           NA            NA           NA           NA           NA
## 1410           NA            NA           NA           NA           NA
## 1411           NA            NA           NA           NA           NA
## 1412           NA            NA           NA           NA           NA
## 1413   0.16736901   0.941838227  17.89403815  -8.21476120  -4.62597358
## 1414   0.16736901   0.941838227  17.89403815  -8.21476120  -4.62597358
## 1415   0.16736901   0.941838227  17.89403815  -8.21476120  -4.62597358
## 1416   0.16736901   0.941838227  17.89403815  -8.21476120  -4.62597358
## 1417   0.16736901   0.941838227  17.89403815  -8.21476120  -4.62597358
## 1418   0.62703754  -0.823181470  -1.76953117  -4.01489192  -1.43972798
## 1419   0.62703754  -0.823181470  -1.76953117  -4.01489192  -1.43972798
## 1420   0.62703754  -0.823181470  -1.76953117  -4.01489192  -1.43972798
## 1421   0.62703754  -0.823181470  -1.76953117  -4.01489192  -1.43972798
## 1422   0.62703754  -0.823181470  -1.76953117  -4.01489192  -1.43972798
## 1423           NA            NA           NA           NA           NA
## 1424           NA            NA           NA           NA           NA
## 1425           NA            NA           NA           NA           NA
## 1426           NA            NA           NA           NA           NA
## 1427           NA            NA           NA           NA           NA
## 1428 -15.13955337  -2.257318832   9.85574459  -3.23770876   7.09436016
## 1429 -15.13955337  -2.257318832   9.85574459  -3.23770876   7.09436016
## 1430 -15.13955337  -2.257318832   9.85574459  -3.23770876   7.09436016
## 1431 -15.13955337  -2.257318832   9.85574459  -3.23770876   7.09436016
## 1432 -15.13955337  -2.257318832   9.85574459  -3.23770876   7.09436016
## 1433  22.36335570  -8.867235786 -29.72805263  -7.80517895   2.39342758
## 1434  22.36335570  -8.867235786 -29.72805263  -7.80517895   2.39342758
## 1435  22.36335570  -8.867235786 -29.72805263  -7.80517895   2.39342758
## 1436  22.36335570  -8.867235786 -29.72805263  -7.80517895   2.39342758
## 1437  22.36335570  -8.867235786 -29.72805263  -7.80517895   2.39342758
## 1438           NA            NA           NA           NA           NA
## 1439           NA            NA           NA           NA           NA
## 1440           NA            NA           NA           NA           NA
## 1441           NA            NA           NA           NA           NA
## 1442           NA            NA           NA           NA           NA
## 1443   2.40378363 -29.073451637 -39.12204731  -0.38748576   2.45780786
## 1444   2.40378363 -29.073451637 -39.12204731  -0.38748576   2.45780786
## 1445   2.40378363 -29.073451637 -39.12204731  -0.38748576   2.45780786
## 1446   2.40378363 -29.073451637 -39.12204731  -0.38748576   2.45780786
## 1447   2.40378363 -29.073451637 -39.12204731  -0.38748576   2.45780786
## 1448           NA            NA           NA           NA           NA
## 1449           NA            NA           NA           NA           NA
## 1450           NA            NA           NA           NA           NA
## 1451           NA            NA           NA           NA           NA
## 1452           NA            NA           NA           NA           NA
## 1453           NA            NA           NA           NA           NA
## 1454           NA            NA           NA           NA           NA
## 1455           NA            NA           NA           NA           NA
## 1456           NA            NA           NA           NA           NA
## 1457           NA            NA           NA           NA           NA
## 1458           NA            NA           NA           NA           NA
## 1459           NA            NA           NA           NA           NA
## 1460           NA            NA           NA           NA           NA
## 1461           NA            NA           NA           NA           NA
## 1462           NA            NA           NA           NA           NA
## 1463   6.45105918  -6.320343508   2.90030103  -6.70202030   0.58978621
## 1464   6.45105918  -6.320343508   2.90030103  -6.70202030   0.58978621
## 1465   6.45105918  -6.320343508   2.90030103  -6.70202030   0.58978621
## 1466   6.45105918  -6.320343508   2.90030103  -6.70202030   0.58978621
## 1467   6.45105918  -6.320343508   2.90030103  -6.70202030   0.58978621
## 1468           NA            NA           NA           NA           NA
## 1469           NA            NA           NA           NA           NA
## 1470           NA            NA           NA           NA           NA
## 1471           NA            NA           NA           NA           NA
## 1472           NA            NA           NA           NA           NA
## 1473           NA            NA           NA           NA           NA
## 1474           NA            NA           NA           NA           NA
## 1475           NA            NA           NA           NA           NA
## 1476           NA            NA           NA           NA           NA
## 1477           NA            NA           NA           NA           NA
## 1478           NA            NA           NA           NA           NA
## 1479           NA            NA           NA           NA           NA
## 1480           NA            NA           NA           NA           NA
## 1481           NA            NA           NA           NA           NA
## 1482           NA            NA           NA           NA           NA
## 1483           NA            NA           NA           NA           NA
## 1484           NA            NA           NA           NA           NA
## 1485           NA            NA           NA           NA           NA
## 1486           NA            NA           NA           NA           NA
## 1487           NA            NA           NA           NA           NA
## 1488  -4.01595771  -3.192631652   5.62348967  -5.73680772  20.19011516
## 1489  -4.01595771  -3.192631652   5.62348967  -5.73680772  20.19011516
## 1490  -4.01595771  -3.192631652   5.62348967  -5.73680772  20.19011516
## 1491  -4.01595771  -3.192631652   5.62348967  -5.73680772  20.19011516
## 1492  -4.01595771  -3.192631652   5.62348967  -5.73680772  20.19011516
## 1493 -13.02109674   0.683984759  17.31070400   1.62403908  -1.75070228
## 1494 -13.02109674   0.683984759  17.31070400   1.62403908  -1.75070228
## 1495 -13.02109674   0.683984759  17.31070400   1.62403908  -1.75070228
## 1496 -13.02109674   0.683984759  17.31070400   1.62403908  -1.75070228
## 1497 -13.02109674   0.683984759  17.31070400   1.62403908  -1.75070228
## 1498  13.25589236  -1.273230163   2.51766236   1.40114680   3.53431728
## 1499  13.25589236  -1.273230163   2.51766236   1.40114680   3.53431728
## 1500  13.25589236  -1.273230163   2.51766236   1.40114680   3.53431728
## 1501  13.25589236  -1.273230163   2.51766236   1.40114680   3.53431728
## 1502  13.25589236  -1.273230163   2.51766236   1.40114680   3.53431728
## 1503  -1.36958660   2.188944897  -3.88803702   2.52537655  -4.94312767
## 1504  -1.36958660   2.188944897  -3.88803702   2.52537655  -4.94312767
## 1505  -1.36958660   2.188944897  -3.88803702   2.52537655  -4.94312767
## 1506  -1.36958660   2.188944897  -3.88803702   2.52537655  -4.94312767
## 1507  -1.36958660   2.188944897  -3.88803702   2.52537655  -4.94312767
## 1508           NA            NA           NA           NA           NA
## 1509           NA            NA           NA           NA           NA
## 1510           NA            NA           NA           NA           NA
## 1511           NA            NA           NA           NA           NA
## 1512           NA            NA           NA           NA           NA
## 1513           NA            NA           NA           NA           NA
## 1514           NA            NA           NA           NA           NA
## 1515           NA            NA           NA           NA           NA
## 1516           NA            NA           NA           NA           NA
## 1517           NA            NA           NA           NA           NA
## 1518           NA            NA           NA           NA           NA
## 1519           NA            NA           NA           NA           NA
## 1520           NA            NA           NA           NA           NA
## 1521           NA            NA           NA           NA           NA
## 1522           NA            NA           NA           NA           NA
## 1523           NA            NA           NA           NA           NA
## 1524           NA            NA           NA           NA           NA
## 1525           NA            NA           NA           NA           NA
## 1526           NA            NA           NA           NA           NA
## 1527           NA            NA           NA           NA           NA
## 1528   0.40661890  -2.621215059  -3.95546074  -7.57610756 -16.38454959
## 1529   0.40661890  -2.621215059  -3.95546074  -7.57610756 -16.38454959
## 1530   0.40661890  -2.621215059  -3.95546074  -7.57610756 -16.38454959
## 1531   0.40661890  -2.621215059  -3.95546074  -7.57610756 -16.38454959
## 1532   0.40661890  -2.621215059  -3.95546074  -7.57610756 -16.38454959
## 1533           NA            NA           NA           NA           NA
## 1534           NA            NA           NA           NA           NA
## 1535           NA            NA           NA           NA           NA
## 1536           NA            NA           NA           NA           NA
## 1537           NA            NA           NA           NA           NA
## 1538           NA            NA           NA           NA           NA
##        PC113_score
## 1       1.49412280
## 2       1.49412280
## 3       1.49412280
## 4       1.49412280
## 5       1.49412280
## 6       1.49412280
## 7       1.49412280
## 8       1.49412280
## 9      18.21880120
## 10     18.21880120
## 11     18.21880120
## 12     18.21880120
## 13     18.21880120
## 14     18.21880120
## 15     18.21880120
## 16     18.21880120
## 17      2.48262768
## 18      2.48262768
## 19      2.48262768
## 20      2.48262768
## 21      2.48262768
## 22      2.48262768
## 23      2.48262768
## 24      2.48262768
## 25      0.90915606
## 26      0.90915606
## 27      0.90915606
## 28      0.90915606
## 29      0.90915606
## 30      0.90915606
## 31      0.90915606
## 32      0.90915606
## 33     -2.62457265
## 34     -2.62457265
## 35     -2.62457265
## 36     -2.62457265
## 37     -2.62457265
## 38     -2.62457265
## 39     -2.62457265
## 40     -2.62457265
## 41      1.10521477
## 42      1.10521477
## 43      1.10521477
## 44      1.10521477
## 45      1.10521477
## 46      1.10521477
## 47      1.10521477
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## 1374            NA
## 1375            NA
## 1376            NA
## 1377            NA
## 1378   15.67368824
## 1379   15.67368824
## 1380   15.67368824
## 1381   15.67368824
## 1382   15.67368824
## 1383            NA
## 1384            NA
## 1385            NA
## 1386            NA
## 1387            NA
## 1388    1.83274419
## 1389    1.83274419
## 1390    1.83274419
## 1391    1.83274419
## 1392    1.83274419
## 1393            NA
## 1394            NA
## 1395            NA
## 1396            NA
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## 1413    2.27247003
## 1414    2.27247003
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## 1416    2.27247003
## 1417    2.27247003
## 1418 -134.33744016
## 1419 -134.33744016
## 1420 -134.33744016
## 1421 -134.33744016
## 1422 -134.33744016
## 1423            NA
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## 1428    1.49917333
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## 1433   -1.88742864
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## 1438            NA
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## 1448            NA
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## 1463    0.35093447
## 1464    0.35093447
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## 1468            NA
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## 1503    6.15638325
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## 1508            NA
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##  [ reached 'max' / getOption("max.print") -- omitted 47635 rows ]

I also realized that the contrastdiff variable I made did not distinguish between a combination of right contrast = 1 and left contrast = 0.5, versus another trial where right contrast = 0.5 and left contrast = 0. I wanted to make this distinction by using an interaction variable instead. I then conducted a chi-square test to see whether this new interaction variable of right_contrast x left_contrast had a significant correlation with feedback score. The result of the test demonstrated that there is a strong relationship between the interaction term and the feedback score (p value very low), so I will continue to use this interaction term instead of the contrast_diff variable in my prediction model.

# Method 1: Using paste() to create the interaction manually
results_df_allsessions_significant$contrast_interaction <- paste(
  results_df_allsessions_significant$leftcontrast,
  results_df_allsessions_significant$rightcontrast,
  sep = "_"
)

# Method 2: If you want to use the interaction() function with error checking
# First check for NA values
na_count <- sum(is.na(results_df_allsessions_significant$leftcontrast) | 
                is.na(results_df_allsessions_significant$rightcontrast))
cat("Number of NA values in contrast variables:", na_count, "\n")
## Number of NA values in contrast variables: 0
# Try a different approach if there are NA values
if (na_count > 0) {
  # Handle NA values by creating factors with NA as a level
  results_df_allsessions_significant$leftcontrast_factor <- factor(results_df_allsessions_significant$leftcontrast, 
                                                     exclude = NULL)
  results_df_allsessions_significant$rightcontrast_factor <- factor(results_df_allsessions_significant$rightcontrast, 
                                                      exclude = NULL)
} else {
  # Regular factor conversion if no NAs
  results_df_allsessions_significant$leftcontrast_factor <- factor(results_df_allsessions_significant$leftcontrast)
  results_df_allsessions_significant$rightcontrast_factor <- factor(results_df_allsessions_significant$rightcontrast)
}

# Now try the interaction
results_df_allsessions_significant$contrast_interaction <- as.character(
  interaction(results_df_allsessions_significant$rightcontrast_factor,
              results_df_allsessions_significant$leftcontrast_factor,
              sep = "_", drop = TRUE)
)

# Check if it worked
head(results_df_allsessions_significant[, c("leftcontrast", "rightcontrast", "contrast_interaction")])
##   leftcontrast rightcontrast contrast_interaction
## 1            0           0.5                0.5_0
## 2            0           0.5                0.5_0
## 3            0           0.5                0.5_0
## 4            0           0.5                0.5_0
## 5            0           0.5                0.5_0
## 6            0           0.5                0.5_0
# Create a contingency table
contingency_table <- table(results_df_allsessions_significant$contrast_interaction, 
                           results_df_allsessions_significant$feedback)

# View the contingency table
print(contingency_table)
##            
##               -1    1
##   0_0       4631 8508
##   0_0.25     635 1103
##   0_0.5      608 3303
##   0_1        752 3719
##   0.25_0     527 1370
##   0.25_0.25  563  422
##   0.25_0.5   530 1008
##   0.25_1    1214 2951
##   0.5_0      554 2545
##   0.5_0.25   632 1080
##   0.5_0.5    531  521
##   0.5_1      519 1013
##   1_0       1150 3247
##   1_0.25     647 2350
##   1_0.5      613  927
##   1_1        427  573
# Perform chi-square test
chi_square_result <- chisq.test(contingency_table)

# Print the results
print(chi_square_result)
## 
##  Pearson's Chi-squared test
## 
## data:  contingency_table
## X-squared = 2102.4, df = 15, p-value < 2.2e-16
# Calculate proportion of positive feedback for each contrast combination
prop_table <- prop.table(contingency_table, 1)
prop_df <- as.data.frame(prop_table)
names(prop_df) <- c("Contrast", "Feedback", "Proportion")

# Create bar plot
ggplot(prop_df, aes(x = Contrast, y = Proportion, fill = Feedback)) +
  geom_bar(stat = "identity", position = "stack") +
  coord_flip() +
  scale_fill_manual(values = c("-1" = "red", "1" = "blue")) +
  labs(title = "Proportion of Feedback by Contrast Combination",
       y = "Proportion",
       x = "Contrast Combination (Right-Left)") +
  theme_minimal()

I have finished by EDA and data integration. From my analyses, I found that variables that correlate with feedback score are: avg_spike_count, contrast_interaction, and the PCs of the raw spike data that were deemed significantly correlated with feedback score.

Now, I am going to create testing and training datasets to train my prediction model. I want to remove trials where both left and right contrast are equal, because these trials have a randomly assigned success or failure. This will then skew my prediction model, so I choose to remove it before doing prediction at all.

# Identify rows where either:
# 1. Right contrast != left contrast, OR
# 2. Right contrast == left contrast == 0
rows_to_keep <- (results_df_allsessions_significant$rightcontrast != results_df_allsessions_significant$leftcontrast) | 
                (results_df_allsessions_significant$rightcontrast == 0 & results_df_allsessions_significant$leftcontrast == 0)

# Create new dataframe without the matching non-zero contrast trials
results_df_allsessions_significant_filtered <- results_df_allsessions_significant[rows_to_keep, ]

To make my training and testing datasets, I will break my data into fourths, each of which will be a testing set while the rest are part of the training set. To remove any type of biases, I am going to randomly sample from the total number of trials across all sessions to create these sets.

Another thing I want to do is to have an equal number of success and failure trials within each of the training sets. I do not want the model to predict more successes incorrectly because its training dataset was skewed towards successes.

I thought about bootstrapping the data in order to have an equal distribution of feedback scores within each training set while still using all of the trials available to us. However, given the imbalance in amount between feedback = 1 (72% of total data) versus feedback = -1 (28% of total data), the bootstrapping method would need to create a large number of resampled new trials. I did not want to build a prediction model with so many “fake” trials, so I decided not to follow through with this bootstrapping plan.

library(dplyr)
library(caret)
## Loading required package: lattice
## 
## Attaching package: 'caret'
## The following object is masked from 'package:purrr':
## 
##     lift
# First, check the feedback distribution
feedback_distribution <- table(results_df_allsessions_significant_filtered$feedback)
print("Overall feedback distribution:")
## [1] "Overall feedback distribution:"
print(feedback_distribution)
## 
##    -1     1 
## 13012 33124
# Create a stratified 4-fold split
set.seed(123) # For reproducibility
folds <- createFolds(results_df_allsessions_significant_filtered$feedback, 
                     k = 4, 
                     list = TRUE, 
                     returnTrain = FALSE)

# Create 4 pairs of training/testing datasets
train_test_pairs <- list()

for (i in 1:4) {
  # Get test indices for this fold
  test_indices <- folds[[i]]
  
  # Get train indices (all rows except test_indices)
  train_indices <- setdiff(1:nrow(results_df_allsessions_significant_filtered), test_indices)
  
  # Create test dataset
  test_data <- results_df_allsessions_significant_filtered[test_indices, ]
  
  # Create train dataset
  train_data <- results_df_allsessions_significant_filtered[train_indices, ]
  
  # Store in list
  train_test_pairs[[i]] <- list(
    train = train_data,
    test = test_data
  )
  
  # Print fold information
  cat("\nFold", i, "summary:\n")
  cat("Training set size:", nrow(train_data), 
      "(", round(nrow(train_data) / nrow(results_df_allsessions_significant_filtered) * 100, 1), "%)\n")
  cat("Testing set size:", nrow(test_data), 
      "(", round(nrow(test_data) / nrow(results_df_allsessions_significant_filtered) * 100, 1), "%)\n")
  
  # Check feedback balance
  train_feedback <- table(train_data$feedback)
  test_feedback <- table(test_data$feedback)
  
  cat("Training feedback distribution:", 
      paste0(names(train_feedback), "=", train_feedback, 
             " (", round(100 * train_feedback / sum(train_feedback), 1), "%)"), 
      "\n")
  cat("Testing feedback distribution:", 
      paste0(names(test_feedback), "=", test_feedback, 
             " (", round(100 * test_feedback / sum(test_feedback), 1), "%)"), 
      "\n")
}
## 
## Fold 1 summary:
## Training set size: 34602 ( 75 %)
## Testing set size: 11534 ( 25 %)
## Training feedback distribution: -1=9759 (28.2%) 1=24843 (71.8%) 
## Testing feedback distribution: -1=3253 (28.2%) 1=8281 (71.8%) 
## 
## Fold 2 summary:
## Training set size: 34602 ( 75 %)
## Testing set size: 11534 ( 25 %)
## Training feedback distribution: -1=9759 (28.2%) 1=24843 (71.8%) 
## Testing feedback distribution: -1=3253 (28.2%) 1=8281 (71.8%) 
## 
## Fold 3 summary:
## Training set size: 34602 ( 75 %)
## Testing set size: 11534 ( 25 %)
## Training feedback distribution: -1=9759 (28.2%) 1=24843 (71.8%) 
## Testing feedback distribution: -1=3253 (28.2%) 1=8281 (71.8%) 
## 
## Fold 4 summary:
## Training set size: 34602 ( 75 %)
## Testing set size: 11534 ( 25 %)
## Training feedback distribution: -1=9759 (28.2%) 1=24843 (71.8%) 
## Testing feedback distribution: -1=3253 (28.2%) 1=8281 (71.8%)
# Save the specific train/test datasets you may need
# For example, to use fold 1:
train_data <- train_test_pairs[[1]]$train
test_data <- train_test_pairs[[1]]$test

# You can access other folds similarly:
# train_data_2 <- train_test_pairs[[2]]$train
# test_data_2 <- train_test_pairs[[2]]$test

Now, I am using my testing and training sets to evaluate the performance of a logistic regression model:

library(pROC)
## Type 'citation("pROC")' for a citation.
## 
## Attaching package: 'pROC'
## The following objects are masked from 'package:stats':
## 
##     cov, smooth, var
# Function to build and evaluate the model for a single fold
evaluate_fold <- function(train_data, test_data, fold_number) {
  # Ensure feedback is correctly handled as a factor
  train_data$feedback <- factor(train_data$feedback, levels = c(-1, 1))
  test_data$feedback <- factor(test_data$feedback, levels = c(-1, 1))
  
  # Print unique feedback values to confirm
  cat("Unique feedback values in training data:", levels(train_data$feedback), "\n")
  cat("Unique feedback values in test data:", levels(test_data$feedback), "\n")
  
  # Calculate class weights
  neg_weight <- nrow(train_data) / (2 * sum(train_data$feedback == "-1"))
  pos_weight <- nrow(train_data) / (2 * sum(train_data$feedback == "1"))
  class_weights <- c(neg_weight, pos_weight)
  names(class_weights) <- c("-1", "1")
  
  cat("\nFold", fold_number, "class weights:", 
      paste(names(class_weights), "=", round(class_weights, 2)), "\n")
  
  # Identify PC columns
  pc_cols <- grep("^PC\\d+_score$", colnames(train_data), value = TRUE)
  
  # Create formula with required variables
  # Include avg_spike_count, contrastdiff, and all PC columns
  formula_vars <- c("avg_spike_count", "contrastdiff", pc_cols)
  formula_str <- paste("feedback ~", paste(formula_vars, collapse = " + "))
  model_formula <- as.formula(formula_str)
  
  # Train logistic regression model with class weights
  logistic_model <- glm(model_formula, 
                        data = train_data, 
                        family = binomial(),
                        weights = ifelse(train_data$feedback == "-1", 
                                       class_weights["-1"], 
                                       class_weights["1"]))
  
  # Make predictions on test data
  test_predictions_prob <- predict(logistic_model, 
                                  newdata = test_data, 
                                  type = "response")
  test_predictions <- ifelse(test_predictions_prob > 0.5, "1", "-1")
  test_predictions <- factor(test_predictions, levels = c("-1", "1"))
  
  # Add diagnostic information about the predictions
  cat("Number of NA in predictions:", sum(is.na(test_predictions)), "\n")
  cat("Number of NA in actual feedback:", sum(is.na(test_data$feedback)), "\n")
  cat("Number of predictions:", length(test_predictions), "\n")
  cat("Number of test cases:", nrow(test_data), "\n")
  
  # First few predictions and actual values for checking
  cat("First 10 predictions:", as.character(head(test_predictions, 10)), "\n")
  cat("First 10 actual values:", as.character(head(test_data$feedback, 10)), "\n")
  
  # Calculate accuracy with na.rm=TRUE
  accuracy <- mean(test_predictions == test_data$feedback, na.rm = TRUE)
  
  # Create confusion matrix
  conf_matrix <- table(Predicted = test_predictions, Actual = test_data$feedback)
  
  # Calculate other metrics
  # Add error handling for edge cases
  precision <- tryCatch({
    conf_matrix["1","1"] / sum(conf_matrix["1",])
  }, error = function(e) NA)
  
  recall <- tryCatch({
    conf_matrix["1","1"] / sum(conf_matrix[,"1"])
  }, error = function(e) NA)
  
  f1_score <- tryCatch({
    2 * precision * recall / (precision + recall)
  }, error = function(e) NA)
  
  # Calculate AUC - convert feedback to numeric for ROC
  test_feedback_numeric <- as.numeric(test_data$feedback == "1")
  roc_obj <- tryCatch({
    roc(test_feedback_numeric, test_predictions_prob)
  }, error = function(e) NULL)
  
  auc_value <- if(!is.null(roc_obj)) auc(roc_obj) else NA
  
  # Return all metrics
  return(list(
    fold = fold_number,
    model = logistic_model,
    accuracy = accuracy,
    conf_matrix = conf_matrix,
    precision = precision,
    recall = recall,
    f1_score = f1_score,
    auc = auc_value,
    roc = roc_obj
  ))
}

# Run evaluation for all folds
results <- list()
for (i in 1:4) {
  cat("\n======== Evaluating Fold", i, "========\n")
  train_data <- train_test_pairs[[i]]$train
  test_data <- train_test_pairs[[i]]$test
  results[[i]] <- evaluate_fold(train_data, test_data, i)
  
  # Print metrics for this fold
  cat("Fold", i, "metrics:\n")
  cat("Accuracy:", round(results[[i]]$accuracy * 100, 2), "%\n")
  cat("Confusion Matrix:\n")
  print(results[[i]]$conf_matrix)
  cat("Precision:", round(results[[i]]$precision, 3), "\n")
  cat("Recall:", round(results[[i]]$recall, 3), "\n")
  cat("F1 Score:", round(results[[i]]$f1_score, 3), "\n")
  cat("AUC:", round(results[[i]]$auc, 3), "\n\n")
}
## 
## ======== Evaluating Fold 1 ========
## Unique feedback values in training data: -1 1 
## Unique feedback values in test data: -1 1 
## 
## Fold 1 class weights: -1 = 1.77 1 = 0.7
## Warning in eval(family$initialize): non-integer #successes in a binomial glm!
## Number of NA in predictions: 6962 
## Number of NA in actual feedback: 0 
## Number of predictions: 11534 
## Number of test cases: 11534 
## First 10 predictions: 1 1 1 1 -1 1 -1 1 -1 -1 
## First 10 actual values: 1 1 1 1 1 -1 -1 -1 -1 -1
## Setting levels: control = 0, case = 1
## Setting direction: controls < cases
## Fold 1 metrics:
## Accuracy: 62.99 %
## Confusion Matrix:
##          Actual
## Predicted   -1    1
##        -1  827 1206
##        1   486 2053
## Precision: 0.809 
## Recall: 0.63 
## F1 Score: 0.708 
## AUC: 0.682 
## 
## 
## ======== Evaluating Fold 2 ========
## Unique feedback values in training data: -1 1 
## Unique feedback values in test data: -1 1 
## 
## Fold 2 class weights: -1 = 1.77 1 = 0.7
## Warning in eval(family$initialize): non-integer #successes in a binomial glm!
## Number of NA in predictions: 6853 
## Number of NA in actual feedback: 0 
## Number of predictions: 11534 
## Number of test cases: 11534 
## First 10 predictions: 1 1 -1 -1 -1 -1 -1 -1 -1 -1 
## First 10 actual values: 1 1 1 1 1 -1 -1 -1 -1 -1
## Setting levels: control = 0, case = 1
## Setting direction: controls < cases
## Fold 2 metrics:
## Accuracy: 62.12 %
## Confusion Matrix:
##          Actual
## Predicted   -1    1
##        -1  839 1270
##        1   503 2069
## Precision: 0.804 
## Recall: 0.62 
## F1 Score: 0.7 
## AUC: 0.678 
## 
## 
## ======== Evaluating Fold 3 ========
## Unique feedback values in training data: -1 1 
## Unique feedback values in test data: -1 1 
## 
## Fold 3 class weights: -1 = 1.77 1 = 0.7
## Warning in eval(family$initialize): non-integer #successes in a binomial glm!
## Number of NA in predictions: 6945 
## Number of NA in actual feedback: 0 
## Number of predictions: 11534 
## Number of test cases: 11534 
## First 10 predictions: 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 
## First 10 actual values: 1 1 1 1 -1 -1 -1 -1 -1 -1
## Setting levels: control = 0, case = 1
## Setting direction: controls < cases
## Fold 3 metrics:
## Accuracy: 61.65 %
## Confusion Matrix:
##          Actual
## Predicted   -1    1
##        -1  822 1310
##        1   450 2007
## Precision: 0.817 
## Recall: 0.605 
## F1 Score: 0.695 
## AUC: 0.676 
## 
## 
## ======== Evaluating Fold 4 ========
## Unique feedback values in training data: -1 1 
## Unique feedback values in test data: -1 1 
## 
## Fold 4 class weights: -1 = 1.77 1 = 0.7
## Warning in eval(family$initialize): non-integer #successes in a binomial glm!
## Number of NA in predictions: 6982 
## Number of NA in actual feedback: 0 
## Number of predictions: 11534 
## Number of test cases: 11534 
## First 10 predictions: 1 -1 -1 -1 1 1 1 1 1 1 
## First 10 actual values: 1 1 -1 -1 1 1 1 1 1 1
## Setting levels: control = 0, case = 1
## Setting direction: controls < cases
## Fold 4 metrics:
## Accuracy: 61.67 %
## Confusion Matrix:
##          Actual
## Predicted   -1    1
##        -1  834 1301
##        1   444 1973
## Precision: 0.816 
## Recall: 0.603 
## F1 Score: 0.693 
## AUC: 0.68
# Calculate average metrics across all folds
avg_accuracy <- mean(sapply(results, function(x) x$accuracy), na.rm = TRUE)
avg_precision <- mean(sapply(results, function(x) x$precision), na.rm = TRUE)
avg_recall <- mean(sapply(results, function(x) x$recall), na.rm = TRUE)
avg_f1 <- mean(sapply(results, function(x) x$f1_score), na.rm = TRUE)
avg_auc <- mean(sapply(results, function(x) x$auc), na.rm = TRUE)

cat("\n======== CROSS-VALIDATION SUMMARY ========\n")
## 
## ======== CROSS-VALIDATION SUMMARY ========
cat("Average Accuracy:", round(avg_accuracy * 100, 2), "%\n")
## Average Accuracy: 62.11 %
cat("Average Precision:", round(avg_precision, 3), "\n")
## Average Precision: 0.812
cat("Average Recall:", round(avg_recall, 3), "\n")
## Average Recall: 0.614
cat("Average F1 Score:", round(avg_f1, 3), "\n")
## Average F1 Score: 0.699
cat("Average AUC:", round(avg_auc, 3), "\n")
## Average AUC: 0.679
# Check which variables are most important across all folds
combined_coefficients <- data.frame()

for (i in 1:4) {
  tryCatch({
    coef_table <- summary(results[[i]]$model)$coefficients
    coef_df <- as.data.frame(coef_table)
    coef_df$Variable <- rownames(coef_table)
    coef_df$Fold <- i
    
    # Rename columns without special characters
    names(coef_df) <- gsub("`", "", names(coef_df))
    names(coef_df) <- gsub(" ", "_", names(coef_df))
    
    combined_coefficients <- rbind(combined_coefficients, coef_df)
  }, error = function(e) {
    cat("Error processing coefficients for fold", i, ":", e$message, "\n")
  })
}

# Calculate average absolute z-value for each variable
if(nrow(combined_coefficients) > 0) {
  # Make sure the z-value column exists and is named consistently
  z_col_name <- grep("z_value|z.value|zvalue", names(combined_coefficients), value = TRUE)[1]
  
  if(!is.na(z_col_name)) {
    # Use the correct column name in the formula
    formula_str <- paste("abs(", z_col_name, ") ~ Variable", sep="")
    variable_importance <- aggregate(as.formula(formula_str), data = combined_coefficients, FUN = mean)
    
    # Rename the column to a consistent name
    names(variable_importance)[2] <- "Mean_Abs_Z"
    
    # Sort by importance
    variable_importance <- variable_importance[order(variable_importance$Mean_Abs_Z, decreasing = TRUE), ]
    
    cat("\n======== TOP 10 MOST IMPORTANT VARIABLES ========\n")
    print(head(variable_importance, 10))
  } else {
    cat("Could not find z-value column in coefficient table\n")
  }
} else {
  cat("No coefficient data available\n")
}
## 
## ======== TOP 10 MOST IMPORTANT VARIABLES ========
##             Variable Mean_Abs_Z
## 6      contrastdiff0  14.431497
## 3  contrastdiff-0.25  12.009434
## 5  contrastdiff-0.75  11.456543
## 7   contrastdiff0.25  10.992838
## 1        (Intercept)   9.401347
## 35         PC4_score   9.234073
## 17       PC107_score   8.313589
## 11         PC1_score   7.734135
## 2    avg_spike_count   6.993939
## 31        PC35_score   6.876898
library(MASS)  # For LDA
## 
## Attaching package: 'MASS'
## The following object is masked from 'package:dplyr':
## 
##     select
library(pROC)  # For ROC analysis

# Function to evaluate LDA model with class weights on a single fold
evaluate_lda_weighted_fold <- function(train_data, test_data, fold_number) {
  # Ensure feedback is correctly handled as a factor
  train_data$feedback <- factor(train_data$feedback, levels = c("-1", "1"))
  test_data$feedback <- factor(test_data$feedback, levels = c("-1", "1"))
  
  # Identify PC columns
  pc_cols <- grep("^PC\\d+_score$", colnames(train_data), value = TRUE)
  
  # Create formula with required variables
  formula_vars <- c("avg_spike_count", "contrast_interaction", pc_cols)
  formula_str <- paste("feedback ~", paste(formula_vars, collapse = " + "))
  model_formula <- as.formula(formula_str)
  
  # Calculate class weights based on class distribution
  class_counts <- table(train_data$feedback)
  total_samples <- sum(class_counts)
  
  # Calculate prior probabilities (inverse of class frequencies)
  # This gives higher weight to the minority class
  neg_weight <- total_samples / (2 * class_counts["-1"])
  pos_weight <- total_samples / (2 * class_counts["1"])
  
  # Normalize weights to sum to 1
  total_weight <- neg_weight + pos_weight
  prior_probs <- c(neg_weight/total_weight, pos_weight/total_weight)
  names(prior_probs) <- c("-1", "1")
  
  cat("Class distribution - Negative:", class_counts["-1"], "Positive:", class_counts["1"], "\n")
  cat("Prior probabilities - Negative:", round(prior_probs["-1"], 3), "Positive:", round(prior_probs["1"], 3), "\n")
  
  # Train LDA model with balanced priors
  lda_model <- lda(model_formula, data = train_data, prior = prior_probs)
  
  # Make predictions on test data
  lda_pred <- predict(lda_model, newdata = test_data)
  test_predictions <- lda_pred$class
  test_predictions_prob <- lda_pred$posterior[, "1"]  # Posterior probabilities for class 1
  
  # Add diagnostic information about the predictions
  cat("Number of NA in predictions:", sum(is.na(test_predictions)), "\n")
  cat("Number of NA in actual feedback:", sum(is.na(test_data$feedback)), "\n")
  cat("First 10 predictions:", as.character(head(test_predictions, 10)), "\n")
  cat("First 10 actual values:", as.character(head(test_data$feedback, 10)), "\n")
  
  # Calculate accuracy
  accuracy <- mean(test_predictions == test_data$feedback, na.rm = TRUE)
  
  # Create confusion matrix
  conf_matrix <- table(Predicted = test_predictions, Actual = test_data$feedback)
  
  # Calculate other metrics
  precision <- tryCatch({
    conf_matrix["1","1"] / sum(conf_matrix["1",])
  }, error = function(e) NA)
  
  recall <- tryCatch({
    conf_matrix["1","1"] / sum(conf_matrix[,"1"])
  }, error = function(e) NA)
  
  specificity <- tryCatch({
    conf_matrix["-1","-1"] / sum(conf_matrix[,"-1"])
  }, error = function(e) NA)
  
  f1_score <- tryCatch({
    2 * precision * recall / (precision + recall)
  }, error = function(e) NA)
  
  balanced_acc <- (recall + specificity) / 2
  
  # Calculate AUC
  test_feedback_numeric <- as.numeric(test_data$feedback == "1")
  roc_obj <- tryCatch({
    roc(test_feedback_numeric, test_predictions_prob)
  }, error = function(e) NULL)
  
  auc_value <- if(!is.null(roc_obj)) auc(roc_obj) else NA
  
  # Return all metrics
  return(list(
    fold = fold_number,
    model = lda_model,
    accuracy = accuracy,
    conf_matrix = conf_matrix,
    precision = precision,
    recall = recall,
    specificity = specificity,
    balanced_accuracy = balanced_acc,
    f1_score = f1_score,
    auc = auc_value,
    roc = roc_obj,
    prior_probs = prior_probs
  ))
}

# Run evaluation for all folds
lda_weighted_results <- list()
for (i in 1:4) {
  cat("\n======== Evaluating Weighted LDA Model on Fold", i, "========\n")
  train_data <- train_test_pairs[[i]]$train
  test_data <- train_test_pairs[[i]]$test
  
  # Check if contrast_interaction exists and create if needed
  if (!"contrast_interaction" %in% colnames(train_data)) {
    cat("Creating contrast_interaction variable...\n")
    train_data$contrast_interaction <- as.numeric(train_data$leftcontrast) * as.numeric(train_data$rightcontrast)
    test_data$contrast_interaction <- as.numeric(test_data$leftcontrast) * as.numeric(test_data$rightcontrast)
  }
  
  lda_weighted_results[[i]] <- evaluate_lda_weighted_fold(train_data, test_data, i)
  
  # Print metrics for this fold
  cat("Fold", i, "metrics:\n")
  cat("Accuracy:", round(lda_weighted_results[[i]]$accuracy * 100, 2), "%\n")
  cat("Balanced Accuracy:", round(lda_weighted_results[[i]]$balanced_accuracy * 100, 2), "%\n")
  cat("Confusion Matrix:\n")
  print(lda_weighted_results[[i]]$conf_matrix)
  cat("Precision:", round(lda_weighted_results[[i]]$precision, 3), "\n")
  cat("Recall (Sensitivity):", round(lda_weighted_results[[i]]$recall, 3), "\n")
  cat("Specificity:", round(lda_weighted_results[[i]]$specificity, 3), "\n")
  cat("F1 Score:", round(lda_weighted_results[[i]]$f1_score, 3), "\n")
  cat("AUC:", round(lda_weighted_results[[i]]$auc, 3), "\n\n")
}
## 
## ======== Evaluating Weighted LDA Model on Fold 1 ========
## Class distribution - Negative: 9759 Positive: 24843 
## Prior probabilities - Negative: 0.718 Positive: 0.282
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Number of NA in predictions: 6962 
## Number of NA in actual feedback: 0 
## First 10 predictions: -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 
## First 10 actual values: 1 1 1 1 1 -1 -1 -1 -1 -1
## Setting levels: control = 0, case = 1
## Setting direction: controls < cases
## Fold 1 metrics:
## Accuracy: 40.27 %
## Balanced Accuracy: 56.62 %
## Confusion Matrix:
##          Actual
## Predicted   -1    1
##        -1 1248 2666
##        1    65  593
## Precision: 0.901 
## Recall (Sensitivity): 0.182 
## Specificity: 0.95 
## F1 Score: 0.303 
## AUC: 0.691 
## 
## 
## ======== Evaluating Weighted LDA Model on Fold 2 ========
## Class distribution - Negative: 9759 Positive: 24843 
## Prior probabilities - Negative: 0.718 Positive: 0.282
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Number of NA in predictions: 6853 
## Number of NA in actual feedback: 0 
## First 10 predictions: -1 1 -1 -1 -1 -1 -1 -1 -1 -1 
## First 10 actual values: 1 1 1 1 1 -1 -1 -1 -1 -1
## Setting levels: control = 0, case = 1
## Setting direction: controls < cases
## Fold 2 metrics:
## Accuracy: 40.21 %
## Balanced Accuracy: 56.46 %
## Confusion Matrix:
##          Actual
## Predicted   -1    1
##        -1 1269 2726
##        1    73  613
## Precision: 0.894 
## Recall (Sensitivity): 0.184 
## Specificity: 0.946 
## F1 Score: 0.305 
## AUC: 0.681 
## 
## 
## ======== Evaluating Weighted LDA Model on Fold 3 ========
## Class distribution - Negative: 9759 Positive: 24843 
## Prior probabilities - Negative: 0.718 Positive: 0.282
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Number of NA in predictions: 6945 
## Number of NA in actual feedback: 0 
## First 10 predictions: -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 
## First 10 actual values: 1 1 1 1 -1 -1 -1 -1 -1 -1
## Setting levels: control = 0, case = 1
## Setting direction: controls < cases
## Fold 3 metrics:
## Accuracy: 38.59 %
## Balanced Accuracy: 55.87 %
## Confusion Matrix:
##          Actual
## Predicted   -1    1
##        -1 1204 2750
##        1    68  567
## Precision: 0.893 
## Recall (Sensitivity): 0.171 
## Specificity: 0.947 
## F1 Score: 0.287 
## AUC: 0.684 
## 
## 
## ======== Evaluating Weighted LDA Model on Fold 4 ========
## Class distribution - Negative: 9759 Positive: 24843 
## Prior probabilities - Negative: 0.718 Positive: 0.282
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Number of NA in predictions: 6982 
## Number of NA in actual feedback: 0 
## First 10 predictions: -1 -1 -1 -1 -1 -1 1 -1 -1 -1 
## First 10 actual values: 1 1 -1 -1 1 1 1 1 1 1
## Setting levels: control = 0, case = 1
## Setting direction: controls < cases
## Fold 4 metrics:
## Accuracy: 39.72 %
## Balanced Accuracy: 56.42 %
## Confusion Matrix:
##          Actual
## Predicted   -1    1
##        -1 1208 2674
##        1    70  600
## Precision: 0.896 
## Recall (Sensitivity): 0.183 
## Specificity: 0.945 
## F1 Score: 0.304 
## AUC: 0.691
# Calculate average metrics across all folds
avg_accuracy <- mean(sapply(lda_weighted_results, function(x) x$accuracy), na.rm = TRUE)
avg_balanced_acc <- mean(sapply(lda_weighted_results, function(x) x$balanced_accuracy), na.rm = TRUE)
avg_precision <- mean(sapply(lda_weighted_results, function(x) x$precision), na.rm = TRUE)
avg_recall <- mean(sapply(lda_weighted_results, function(x) x$recall), na.rm = TRUE)
avg_specificity <- mean(sapply(lda_weighted_results, function(x) x$specificity), na.rm = TRUE)
avg_f1 <- mean(sapply(lda_weighted_results, function(x) x$f1_score), na.rm = TRUE)
avg_auc <- mean(sapply(lda_weighted_results, function(x) x$auc), na.rm = TRUE)

cat("\n======== WEIGHTED LDA MODEL CROSS-VALIDATION SUMMARY ========\n")
## 
## ======== WEIGHTED LDA MODEL CROSS-VALIDATION SUMMARY ========
cat("Average Accuracy:", round(avg_accuracy * 100, 2), "%\n")
## Average Accuracy: 39.7 %
cat("Average Balanced Accuracy:", round(avg_balanced_acc * 100, 2), "%\n")
## Average Balanced Accuracy: 56.35 %
cat("Average Precision:", round(avg_precision, 3), "\n")
## Average Precision: 0.896
cat("Average Recall (Sensitivity):", round(avg_recall, 3), "\n")
## Average Recall (Sensitivity): 0.18
cat("Average Specificity:", round(avg_specificity, 3), "\n")
## Average Specificity: 0.947
cat("Average F1 Score:", round(avg_f1, 3), "\n")
## Average F1 Score: 0.3
cat("Average AUC:", round(avg_auc, 3), "\n")
## Average AUC: 0.687
# Check which variables are most important in the LDA model
# We'll look at the coefficients of the linear discriminants
combined_coefficients <- data.frame()

for (i in 1:4) {
  coef_vals <- lda_weighted_results[[i]]$model$scaling
  coef_df <- data.frame(
    Variable = rownames(coef_vals),
    Coefficient = coef_vals[,1],  # Extract first linear discriminant
    Abs_Coefficient = abs(coef_vals[,1]),
    Fold = i
  )
  combined_coefficients <- rbind(combined_coefficients, coef_df)
}

# Calculate average absolute coefficient value for each variable
variable_importance <- aggregate(Abs_Coefficient ~ Variable, data = combined_coefficients, FUN = mean)
variable_importance <- variable_importance[order(variable_importance$Abs_Coefficient, decreasing = TRUE), ]

cat("\n======== TOP 10 MOST IMPORTANT VARIABLES IN WEIGHTED LDA MODEL ========\n")
## 
## ======== TOP 10 MOST IMPORTANT VARIABLES IN WEIGHTED LDA MODEL ========
print(head(variable_importance, 10))
##                        Variable Abs_Coefficient
## 4       contrast_interaction0_1       1.3356375
## 8     contrast_interaction0.5_0       1.2852874
## 3     contrast_interaction0_0.5       1.2283870
## 11      contrast_interaction1_0       0.9813719
## 12   contrast_interaction1_0.25       0.9255641
## 5    contrast_interaction0.25_0       0.3622827
## 13    contrast_interaction1_0.5       0.3095622
## 2    contrast_interaction0_0.25       0.2427262
## 9  contrast_interaction0.5_0.25       0.2208944
## 1               avg_spike_count       0.1377123
# Return the results for potential further analysis
lda_weighted_results
## [[1]]
## [[1]]$fold
## [1] 1
## 
## [[1]]$model
## Call:
## lda(model_formula, data = train_data, prior = prior_probs)
## 
## Prior probabilities of groups:
##        -1         1 
## 0.7179643 0.2820357 
## 
## Group means:
##    avg_spike_count contrast_interaction0_0.25 contrast_interaction0_0.5
## -1        1.377611                 0.04933196                0.05832477
## 1         1.543354                 0.02930514                0.09929507
##    contrast_interaction0_1 contrast_interaction0.25_0
## -1              0.05986639                 0.03931141
## 1               0.12406848                 0.03544814
##    contrast_interaction0.25_0.5 contrast_interaction0.25_1
## -1                   0.04573484                 0.10020555
## 1                    0.02940584                 0.07844914
##    contrast_interaction0.5_0 contrast_interaction0.5_0.25
## -1                0.03879753                    0.0516444
## 1                 0.07532729                    0.0327291
##    contrast_interaction0.5_1 contrast_interaction1_0 contrast_interaction1_0.25
## -1                0.04342240              0.07194245                  0.0475334
## 1                 0.02920443              0.10161128                  0.0734139
##    contrast_interaction1_0.5 PC107_score PC4_score PC112_score PC7_score
## -1                0.05626927  -1.1116782  2.022312  -0.8354093 -1.450512
## 1                 0.03333333   0.6008404 -0.680685   0.3170615  0.510304
##     PC1_score PC66_score PC40_score PC104_score PC35_score PC85_score
## -1  1.5429260  0.5115369 -0.8230462   1.1129885 -1.1719349 -0.7835377
## 1  -0.6615047 -0.4143426  0.4093146  -0.1865973  0.2827777  0.3382201
##    PC41_score PC33_score PC96_score PC37_score PC108_score PC91_score
## -1 -0.4352489 -1.3085231  0.9032018  1.1569124  -0.4859186  0.2338516
## 1   0.3885910  0.4545621 -0.3004339 -0.4062817   0.3364183 -0.2803041
##    PC76_score  PC5_score PC102_score PC16_score PC106_score PC98_score
## -1  0.8880454 -0.8182320   0.9342715 -0.5959180   0.8810383  1.2226381
## 1  -0.1476479  0.3070067  -0.1595597  0.3515915  -0.2229939 -0.1837846
##     PC3_score PC28_score  PC61_score PC111_score PC55_score PC50_score
## -1 -0.9552172 -0.8633322  0.84040030   0.4075028  0.6856030  0.1801396
## 1   0.1009591  0.3076162 -0.04993547  -0.3149751 -0.1852363 -0.5168386
##    PC38_score PC72_score PC78_score PC48_score  PC67_score PC65_score
## -1  0.4953285  0.4776801  0.9809978 -0.6384010 -0.80427952  0.5425075
## 1  -0.2943615 -0.3017630 -0.2911599  0.2915276  0.05288952 -0.1232011
##    PC49_score PC22_score PC100_score PC30_score  PC64_score PC59_score
## -1 -0.5767510 -0.9518463  -0.5295305 -0.6493892  0.59821003 -0.5873668
## 1   0.2057713  0.1687316   0.2391448  0.2441525 -0.09023248  0.2865059
##     PC34_score PC57_score  PC58_score PC36_score PC70_score  PC77_score
## -1 -0.59492462  0.4680601  0.67383209 -0.1094622 0.06464584 -0.25831138
## 1   0.04489649 -0.2842548 -0.07357184  0.1212232 0.22862965  0.04032713
##    PC14_score PC73_score PC23_score  PC44_score PC8_score PC101_score
## -1 -0.5340485 -0.2486359  0.1483666 -0.34435882 0.2595247  -0.1688923
## 1   0.2934371  0.2627771 -0.1371323  0.09891333 0.1208274   0.1896260
##    PC113_score
## -1   0.3976118
## 1   -0.1629620
## 
## Coefficients of linear discriminants:
##                                       LD1
## avg_spike_count               0.139285239
## contrast_interaction0_0.25   -0.355536289
## contrast_interaction0_0.5     1.175849132
## contrast_interaction0_1       1.286468419
## contrast_interaction0.25_0    0.330538729
## contrast_interaction0.25_0.5 -0.077390549
## contrast_interaction0.25_1   -0.017812323
## contrast_interaction0.5_0     1.268184702
## contrast_interaction0.5_0.25 -0.232830230
## contrast_interaction0.5_1     0.003556589
## contrast_interaction1_0       0.950297532
## contrast_interaction1_0.25    0.906379668
## contrast_interaction1_0.5    -0.422189821
## PC107_score                   0.017864060
## PC4_score                    -0.011987252
## PC112_score                   0.011211382
## PC7_score                     0.010027852
## PC1_score                    -0.009692456
## PC66_score                   -0.007257469
## PC40_score                    0.009471177
## PC104_score                  -0.013545177
## PC35_score                    0.010127661
## PC85_score                    0.009417523
## PC41_score                    0.006138326
## PC33_score                    0.011910866
## PC96_score                   -0.009584962
## PC37_score                   -0.011816012
## PC108_score                   0.010513418
## PC91_score                   -0.004209771
## PC76_score                   -0.006807141
## PC5_score                     0.006392441
## PC102_score                  -0.008972207
## PC16_score                    0.005624462
## PC106_score                  -0.010932306
## PC98_score                   -0.013074663
## PC3_score                     0.004902304
## PC28_score                    0.007278742
## PC61_score                   -0.006226719
## PC111_score                  -0.008430159
## PC55_score                   -0.005883504
## PC50_score                   -0.005242747
## PC38_score                   -0.005873359
## PC72_score                   -0.005550657
## PC78_score                   -0.010673986
## PC48_score                    0.006764485
## PC67_score                    0.007107864
## PC65_score                   -0.003688593
## PC49_score                    0.005918008
## PC22_score                    0.005820194
## PC100_score                   0.008112599
## PC30_score                    0.005778309
## PC64_score                   -0.005236611
## PC59_score                    0.006427522
## PC34_score                    0.006132310
## PC57_score                   -0.005670135
## PC58_score                   -0.005932797
## PC36_score                    0.002906356
## PC70_score                    0.002007579
## PC77_score                    0.004670094
## PC14_score                    0.004154650
## PC73_score                    0.005213818
## PC23_score                    0.000871203
## PC44_score                    0.004275583
## PC8_score                    -0.001003389
## PC101_score                   0.003661841
## PC113_score                  -0.005272144
## 
## [[1]]$accuracy
## [1] 0.4026684
## 
## [[1]]$conf_matrix
##          Actual
## Predicted   -1    1
##        -1 1248 2666
##        1    65  593
## 
## [[1]]$precision
## [1] 0.9012158
## 
## [[1]]$recall
## [1] 0.1819577
## 
## [[1]]$specificity
## [1] 0.950495
## 
## [[1]]$balanced_accuracy
## [1] 0.5662264
## 
## [[1]]$f1_score
## [1] 0.3027827
## 
## [[1]]$auc
## Area under the curve: 0.6907
## 
## [[1]]$roc
## 
## Call:
## roc.default(response = test_feedback_numeric, predictor = test_predictions_prob)
## 
## Data: test_predictions_prob in 1313 controls (test_feedback_numeric 0) < 3259 cases (test_feedback_numeric 1).
## Area under the curve: 0.6907
## 
## [[1]]$prior_probs
##        -1         1 
## 0.7179643 0.2820357 
## 
## 
## [[2]]
## [[2]]$fold
## [1] 2
## 
## [[2]]$model
## Call:
## lda(model_formula, data = train_data, prior = prior_probs)
## 
## Prior probabilities of groups:
##        -1         1 
## 0.7179643 0.2820357 
## 
## Group means:
##    avg_spike_count contrast_interaction0_0.25 contrast_interaction0_0.5
## -1        1.366171                 0.04918457                0.05151437
## 1         1.560656                 0.02883249                0.09928934
##    contrast_interaction0_1 contrast_interaction0.25_0
## -1              0.06212788                 0.04038312
## 1               0.11979695                 0.03502538
##    contrast_interaction0.25_0.5 contrast_interaction0.25_1
## -1                   0.04581931                 0.09370955
## 1                    0.03086294                 0.07532995
##    contrast_interaction0.5_0 contrast_interaction0.5_0.25
## -1                0.03934766                   0.05254983
## 1                 0.07796954                   0.03248731
##    contrast_interaction0.5_1 contrast_interaction1_0 contrast_interaction1_0.25
## -1                0.04633704              0.07507119                 0.05073777
## 1                 0.02974619              0.10142132                 0.07634518
##    contrast_interaction1_0.5 PC107_score  PC4_score PC112_score  PC7_score
## -1                0.05410303  -1.1263948  1.7106864  -0.8020547 -1.2988658
## 1                 0.03502538   0.6196233 -0.7973846   0.4971786  0.3158237
##     PC1_score PC66_score PC40_score PC104_score PC35_score PC85_score
## -1  1.4334713  0.5160721 -0.9333779   0.9597215 -1.1531232 -0.7950167
## 1  -0.5556055 -0.3994065  0.2756989  -0.1998058  0.3547461  0.2498785
##    PC41_score PC33_score PC96_score PC37_score PC108_score PC91_score
## -1 -0.3862862 -1.2686530  1.1300581  0.9072456  -0.5782968  0.4792099
## 1   0.3918434  0.4315643 -0.3645556 -0.4488864   0.3951721 -0.3065107
##    PC76_score  PC5_score PC102_score PC16_score PC106_score PC98_score
## -1  0.7268568 -0.7561627   0.9503452 -0.4991656   0.7351524  0.8249123
## 1  -0.2387498  0.4004241  -0.2343903  0.3903870  -0.3054684 -0.1649517
##     PC3_score PC28_score PC61_score PC111_score PC55_score PC50_score
## -1 -1.2402085 -0.8258787  0.7721884   0.4221808  0.5772312  0.4627829
## 1   0.1782714  0.2662202 -0.1243116  -0.2840755 -0.1990514 -0.3501399
##    PC38_score PC72_score PC78_score PC48_score PC67_score PC65_score PC49_score
## -1  0.8206009  0.6557664  0.8962174 -0.7480609 -0.7317415  0.3359903 -0.6421892
## 1  -0.3930991 -0.3367187 -0.2097694  0.3973642  0.2237781 -0.1129718  0.1048740
##    PC22_score PC100_score PC30_score PC64_score PC59_score PC34_score
## -1 -0.8050297 -0.81984758 -0.6834561  0.5367487 -0.3715992 -0.9319607
## 1   0.2290610  0.08333634  0.1788503 -0.2379175  0.2613585  0.1751097
##    PC57_score PC58_score  PC36_score PC70_score PC77_score PC14_score
## -1  0.4150974  0.4212814 -0.06687402 -0.2215437 -0.4184310 -0.4481251
## 1  -0.4444109 -0.2076940  0.29396336  0.1324226  0.2657867  0.2940681
##    PC73_score PC23_score PC44_score PC8_score PC101_score PC113_score
## -1 -0.3252539 -0.1090708 -0.2102825 0.3527029  -0.2317205   0.2797654
## 1   0.2814796 -0.1698737  0.0979739 0.2505214   0.1231913  -0.1141610
## 
## Coefficients of linear discriminants:
##                                       LD1
## avg_spike_count               0.160604092
## contrast_interaction0_0.25   -0.349618960
## contrast_interaction0_0.5     1.312013437
## contrast_interaction0_1       1.261599595
## contrast_interaction0.25_0    0.292544236
## contrast_interaction0.25_0.5  0.070112333
## contrast_interaction0.25_1    0.050070705
## contrast_interaction0.5_0     1.337874401
## contrast_interaction0.5_0.25 -0.278642594
## contrast_interaction0.5_1    -0.014945978
## contrast_interaction1_0       0.919133123
## contrast_interaction1_0.25    0.909997488
## contrast_interaction1_0.5    -0.244973192
## PC107_score                   0.019097909
## PC4_score                    -0.010299003
## PC112_score                   0.012557033
## PC7_score                     0.007671103
## PC1_score                    -0.009011688
## PC66_score                   -0.007500896
## PC40_score                    0.008939327
## PC104_score                  -0.013096711
## PC35_score                    0.011266712
## PC85_score                    0.008415370
## PC41_score                    0.005744940
## PC33_score                    0.011628056
## PC96_score                   -0.012158207
## PC37_score                   -0.011915969
## PC108_score                   0.012861895
## PC91_score                   -0.006607307
## PC76_score                   -0.005978062
## PC5_score                     0.006073988
## PC102_score                  -0.010616935
## PC16_score                    0.004914352
## PC106_score                  -0.011448951
## PC98_score                   -0.010064387
## PC3_score                     0.006295046
## PC28_score                    0.006217060
## PC61_score                   -0.006199505
## PC111_score                  -0.007483304
## PC55_score                   -0.004568202
## PC50_score                   -0.006382725
## PC38_score                   -0.008395283
## PC72_score                   -0.007182330
## PC78_score                   -0.009087955
## PC48_score                    0.007806718
## PC67_score                    0.007750631
## PC65_score                   -0.002333934
## PC49_score                    0.005604527
## PC22_score                    0.005610610
## PC100_score                   0.008722983
## PC30_score                    0.005706750
## PC64_score                   -0.005197443
## PC59_score                    0.004567020
## PC34_score                    0.008214583
## PC57_score                   -0.006993845
## PC58_score                   -0.005795404
## PC36_score                    0.003732309
## PC70_score                    0.003320466
## PC77_score                    0.008090434
## PC14_score                    0.003407139
## PC73_score                    0.005565963
## PC23_score                    0.002394636
## PC44_score                    0.003352786
## PC8_score                    -0.001091317
## PC101_score                   0.004073848
## PC113_score                  -0.003668061
## 
## [[2]]$accuracy
## [1] 0.4020508
## 
## [[2]]$conf_matrix
##          Actual
## Predicted   -1    1
##        -1 1269 2726
##        1    73  613
## 
## [[2]]$precision
## [1] 0.893586
## 
## [[2]]$recall
## [1] 0.1835879
## 
## [[2]]$specificity
## [1] 0.9456036
## 
## [[2]]$balanced_accuracy
## [1] 0.5645957
## 
## [[2]]$f1_score
## [1] 0.3045963
## 
## [[2]]$auc
## Area under the curve: 0.6812
## 
## [[2]]$roc
## 
## Call:
## roc.default(response = test_feedback_numeric, predictor = test_predictions_prob)
## 
## Data: test_predictions_prob in 1342 controls (test_feedback_numeric 0) < 3339 cases (test_feedback_numeric 1).
## Area under the curve: 0.6812
## 
## [[2]]$prior_probs
##        -1         1 
## 0.7179643 0.2820357 
## 
## 
## [[3]]
## [[3]]$fold
## [1] 3
## 
## [[3]]$model
## Call:
## lda(model_formula, data = train_data, prior = prior_probs)
## 
## Prior probabilities of groups:
##        -1         1 
## 0.7179643 0.2820357 
## 
## Group means:
##    avg_spike_count contrast_interaction0_0.25 contrast_interaction0_0.5
## -1        1.387838                 0.04449530                0.06025934
## 1         1.559673                 0.02856564                0.09724473
##    contrast_interaction0_1 contrast_interaction0.25_0
## -1              0.05949657                 0.03890160
## 1               0.12702593                 0.03707455
##    contrast_interaction0.25_0.5 contrast_interaction0.25_1
## -1                   0.04678363                 0.09382151
## 1                    0.03251621                 0.07708671
##    contrast_interaction0.5_0 contrast_interaction0.5_0.25
## -1                0.04551233                   0.05314010
## 1                 0.07830227                   0.03241491
##    contrast_interaction0.5_1 contrast_interaction1_0 contrast_interaction1_0.25
## -1                0.04627511              0.06890414                 0.04830918
## 1                 0.02947731              0.10068882                 0.07425041
##    contrast_interaction1_0.5 PC107_score  PC4_score PC112_score  PC7_score
## -1                0.05364861   -1.228885  1.8816072  -0.8736004 -1.4379997
## 1                 0.03292139    0.629041 -0.7881291   0.4825276  0.5239277
##     PC1_score PC66_score PC40_score PC104_score PC35_score PC85_score
## -1  1.7042489  0.3963428 -0.7704517    0.764129 -1.0976240 -0.7437932
## 1  -0.6307289 -0.4086549  0.6886198   -0.345676  0.5651674  0.2658475
##    PC41_score PC33_score PC96_score PC37_score PC108_score PC91_score
## -1 -0.4955081 -1.2277655  0.9705849  1.0133898  -0.5394594  0.3350102
## 1   0.3485856  0.4632964 -0.3957138 -0.5031881   0.2001616 -0.2672195
##    PC76_score  PC5_score PC102_score PC16_score PC106_score PC98_score
## -1  0.7449385 -0.6722239   1.0860059 -0.6877150   0.7050947  1.1483067
## 1  -0.2187375  0.3259027  -0.2248242  0.3989311  -0.3570380 -0.2984512
##     PC3_score PC28_score PC61_score PC111_score PC55_score PC50_score
## -1 -1.4531841 -0.8012753  0.5536908  0.16012509  0.4879167  0.2692022
## 1   0.2017116  0.1741188 -0.1187234 -0.06660114 -0.2564360 -0.4296992
##    PC38_score PC72_score PC78_score PC48_score  PC67_score PC65_score
## -1  0.5970389  0.6692124  0.6281429 -0.6104742 -0.83810146  0.7402865
## 1  -0.3349413 -0.2059702 -0.2000830  0.4106287  0.06924869 -0.2458372
##    PC49_score  PC22_score PC100_score PC30_score PC64_score PC59_score
## -1 -0.4414907 -1.02634659  -0.7325378 -0.8926377  0.6154488 -0.5717413
## 1   0.1818078  0.07255284   0.2546741  0.2688194 -0.1029716  0.3723872
##    PC34_score PC57_score  PC58_score PC36_score PC70_score  PC77_score
## -1 -0.6495177  0.4508596  0.85689402 -0.2229841 -0.1809436 -0.20248616
## 1   0.1164362 -0.2081855 -0.07975066  0.2921222  0.1323041  0.08565465
##    PC14_score  PC73_score  PC23_score   PC44_score PC8_score PC101_score
## -1 -0.4008926 -0.40639244  0.11345457 -0.188161399 0.3957835  -0.3955377
## 1   0.3037836  0.03967166 -0.08115218 -0.001660849 0.3534274   0.1784347
##    PC113_score
## -1   0.2207825
## 1   -0.1018517
## 
## Coefficients of linear discriminants:
##                                        LD1
## avg_spike_count               0.1292936546
## contrast_interaction0_0.25   -0.1437316357
## contrast_interaction0_0.5     1.1415185882
## contrast_interaction0_1       1.3787758164
## contrast_interaction0.25_0    0.4475545924
## contrast_interaction0.25_0.5  0.1292377599
## contrast_interaction0.25_1    0.1238206089
## contrast_interaction0.5_0     1.2099584155
## contrast_interaction0.5_0.25 -0.3249878522
## contrast_interaction0.5_1    -0.0481061199
## contrast_interaction1_0       1.0486282221
## contrast_interaction1_0.25    0.9513335972
## contrast_interaction1_0.5    -0.2708698637
## PC107_score                   0.0206671844
## PC4_score                    -0.0112635515
## PC112_score                   0.0141115111
## PC7_score                     0.0097772420
## PC1_score                    -0.0105003515
## PC66_score                   -0.0066325583
## PC40_score                    0.0102180793
## PC104_score                  -0.0127249896
## PC35_score                    0.0117143403
## PC85_score                    0.0084421989
## PC41_score                    0.0058599106
## PC33_score                    0.0106676313
## PC96_score                   -0.0110986200
## PC37_score                   -0.0112305836
## PC108_score                   0.0087898532
## PC91_score                   -0.0057486819
## PC76_score                   -0.0064363435
## PC5_score                     0.0052347729
## PC102_score                  -0.0115233619
## PC16_score                    0.0053786118
## PC106_score                  -0.0107977869
## PC98_score                   -0.0136604684
## PC3_score                     0.0077474119
## PC28_score                    0.0057613320
## PC61_score                   -0.0043797531
## PC111_score                  -0.0019734666
## PC55_score                   -0.0046092563
## PC50_score                   -0.0046905134
## PC38_score                   -0.0068801524
## PC72_score                   -0.0070199678
## PC78_score                   -0.0073551305
## PC48_score                    0.0069170836
## PC67_score                    0.0082353793
## PC65_score                   -0.0060911324
## PC49_score                    0.0051524507
## PC22_score                    0.0060312865
## PC100_score                   0.0099919586
## PC30_score                    0.0067123355
## PC64_score                   -0.0049980523
## PC59_score                    0.0062245824
## PC34_score                    0.0062773906
## PC57_score                   -0.0056068555
## PC58_score                   -0.0076599823
## PC36_score                    0.0050919339
## PC70_score                    0.0030325922
## PC77_score                    0.0040462275
## PC14_score                    0.0033722480
## PC73_score                    0.0043795540
## PC23_score                    0.0013765503
## PC44_score                    0.0029505335
## PC8_score                    -0.0006391076
## PC101_score                   0.0067646920
## PC113_score                  -0.0030205026
## 
## [[3]]$accuracy
## [1] 0.3859229
## 
## [[3]]$conf_matrix
##          Actual
## Predicted   -1    1
##        -1 1204 2750
##        1    68  567
## 
## [[3]]$precision
## [1] 0.8929134
## 
## [[3]]$recall
## [1] 0.1709376
## 
## [[3]]$specificity
## [1] 0.9465409
## 
## [[3]]$balanced_accuracy
## [1] 0.5587392
## 
## [[3]]$f1_score
## [1] 0.2869433
## 
## [[3]]$auc
## Area under the curve: 0.6838
## 
## [[3]]$roc
## 
## Call:
## roc.default(response = test_feedback_numeric, predictor = test_predictions_prob)
## 
## Data: test_predictions_prob in 1272 controls (test_feedback_numeric 0) < 3317 cases (test_feedback_numeric 1).
## Area under the curve: 0.6838
## 
## [[3]]$prior_probs
##        -1         1 
## 0.7179643 0.2820357 
## 
## 
## [[4]]
## [[4]]$fold
## [1] 4
## 
## [[4]]$model
## Call:
## lda(model_formula, data = train_data, prior = prior_probs)
## 
## Prior probabilities of groups:
##        -1         1 
## 0.7179643 0.2820357 
## 
## Group means:
##    avg_spike_count contrast_interaction0_0.25 contrast_interaction0_0.5
## -1        1.397449                 0.04685511                0.05729565
## 1         1.554034                 0.03005547                0.10115986
##    contrast_interaction0_1 contrast_interaction0.25_0
## -1              0.05907818                 0.04125286
## 1               0.12405446                 0.03681291
##    contrast_interaction0.25_0.5 contrast_interaction0.25_1
## -1                   0.04303540                 0.09651133
## 1                    0.02914776                 0.07786183
##    contrast_interaction0.5_0 contrast_interaction0.5_0.25
## -1                0.04074357                   0.04787369
## 1                 0.07624811                   0.03308119
##    contrast_interaction0.5_1 contrast_interaction1_0 contrast_interaction1_0.25
## -1                0.04150751              0.07384772                 0.05092946
## 1                 0.02894604              0.10267272                 0.07443268
##    contrast_interaction1_0.5 PC107_score  PC4_score PC112_score PC7_score
## -1                0.05653170  -1.0364782  1.9319591  -0.8993722 -1.506725
## 1                 0.03429148   0.6328512 -0.7557396   0.3831901  0.389633
##     PC1_score PC66_score PC40_score PC104_score PC35_score PC85_score
## -1  1.5389745  0.4381237 -0.9049646   0.8491836 -1.2191561 -0.7094489
## 1  -0.7488835 -0.2680604  0.3893314  -0.3271423  0.4885318  0.1947792
##    PC41_score PC33_score PC96_score PC37_score PC108_score PC91_score
## -1 -0.6272729 -1.0316650  0.7372284  0.7662393  -0.3838061  0.2795062
## 1   0.3530345  0.3414039 -0.3467749 -0.3245967   0.2463929 -0.2438931
##    PC76_score  PC5_score PC102_score PC16_score PC106_score PC98_score
## -1  1.0440202 -0.7256177   0.9572544 -0.6050637   0.9011733  1.0353206
## 1  -0.2629857  0.4339881  -0.2085757  0.4393301  -0.2149903 -0.2321702
##    PC3_score PC28_score PC61_score PC111_score PC55_score PC50_score PC38_score
## -1 -1.366603 -1.0071799  0.8237326  0.08126532  0.5341173  0.3560005  0.6997019
## 1   0.197288  0.4891138 -0.1400585 -0.24870111 -0.1609653 -0.4233571 -0.2606990
##    PC72_score PC78_score PC48_score PC67_score  PC65_score PC49_score
## -1  0.4881919  0.8938960 -0.8514610 -0.8654144  0.56062847 -0.5493575
## 1  -0.4533460 -0.2394484  0.2019365  0.2827540 -0.05099694  0.2102512
##    PC22_score PC100_score PC30_score PC64_score PC59_score  PC34_score
## -1 -0.8076127  -0.6839611 -0.7107442  0.5477507 -0.2237657 -0.72218404
## 1   0.1796055   0.2503391  0.2939872 -0.2065488  0.3033302 -0.02400099
##    PC57_score  PC58_score PC36_score  PC70_score PC77_score PC14_score
## -1  0.1989567  0.54431515 -0.4524011 -0.01986859 -0.1845146 -0.4388606
## 1  -0.2127122 -0.07541254  0.4945333  0.01902301  0.1629453  0.2382303
##    PC73_score  PC23_score  PC44_score PC8_score PC101_score PC113_score
## -1 -0.4564653 -0.07117909 -0.21975627 0.2428585  -0.2253859  0.55057865
## 1   0.1579273 -0.07447426  0.09262108 0.2619138   0.1223520 -0.05351406
## 
## Coefficients of linear discriminants:
##                                        LD1
## avg_spike_count               0.1216661285
## contrast_interaction0_0.25   -0.1220180486
## contrast_interaction0_0.5     1.2841670279
## contrast_interaction0_1       1.4157062319
## contrast_interaction0.25_0    0.3784930626
## contrast_interaction0.25_0.5  0.0708727298
## contrast_interaction0.25_1    0.1071683408
## contrast_interaction0.5_0     1.3251320907
## contrast_interaction0.5_0.25 -0.0471168264
## contrast_interaction0.5_1     0.1171515669
## contrast_interaction1_0       1.0074289045
## contrast_interaction1_0.25    0.9345457698
## contrast_interaction1_0.5    -0.3002159208
## PC107_score                   0.0175614325
## PC4_score                    -0.0114584807
## PC112_score                   0.0134528476
## PC7_score                     0.0095452945
## PC1_score                    -0.0105410916
## PC66_score                   -0.0058196203
## PC40_score                    0.0102323605
## PC104_score                  -0.0136714518
## PC35_score                    0.0125241497
## PC85_score                    0.0079563753
## PC41_score                    0.0072514370
## PC33_score                    0.0095005011
## PC96_score                   -0.0101423650
## PC37_score                   -0.0082320491
## PC108_score                   0.0084161455
## PC91_score                   -0.0049666120
## PC76_score                   -0.0085778588
## PC5_score                     0.0059959602
## PC102_score                  -0.0107891822
## PC16_score                    0.0057477034
## PC106_score                  -0.0099569536
## PC98_score                   -0.0125472653
## PC3_score                     0.0076101825
## PC28_score                    0.0087726459
## PC61_score                   -0.0070866437
## PC111_score                  -0.0053165951
## PC55_score                   -0.0040183147
## PC50_score                   -0.0055507724
## PC38_score                   -0.0068108546
## PC72_score                   -0.0071891870
## PC78_score                   -0.0093543401
## PC48_score                    0.0079287920
## PC67_score                    0.0097136807
## PC65_score                   -0.0034136046
## PC49_score                    0.0063685718
## PC22_score                    0.0051748872
## PC100_score                   0.0097838286
## PC30_score                    0.0065980946
## PC64_score                   -0.0055260462
## PC59_score                    0.0033789787
## PC34_score                    0.0061194415
## PC57_score                   -0.0038154573
## PC58_score                   -0.0058548418
## PC36_score                    0.0071896488
## PC70_score                    0.0001478701
## PC77_score                    0.0039820477
## PC14_score                    0.0031763060
## PC73_score                    0.0062781335
## PC23_score                    0.0020655823
## PC44_score                    0.0042074354
## PC8_score                    -0.0005863441
## PC101_score                   0.0039422305
## PC113_score                  -0.0055057518
## 
## [[4]]$accuracy
## [1] 0.397188
## 
## [[4]]$conf_matrix
##          Actual
## Predicted   -1    1
##        -1 1208 2674
##        1    70  600
## 
## [[4]]$precision
## [1] 0.8955224
## 
## [[4]]$recall
## [1] 0.1832621
## 
## [[4]]$specificity
## [1] 0.9452269
## 
## [[4]]$balanced_accuracy
## [1] 0.5642445
## 
## [[4]]$f1_score
## [1] 0.3042596
## 
## [[4]]$auc
## Area under the curve: 0.6909
## 
## [[4]]$roc
## 
## Call:
## roc.default(response = test_feedback_numeric, predictor = test_predictions_prob)
## 
## Data: test_predictions_prob in 1278 controls (test_feedback_numeric 0) < 3274 cases (test_feedback_numeric 1).
## Area under the curve: 0.6909
## 
## [[4]]$prior_probs
##        -1         1 
## 0.7179643 0.2820357
library(class)  # For knn function
library(pROC)   # For ROC analysis
library(dplyr)  # For data manipulation

# Function to evaluate weighted kNN model on a single fold
evaluate_weighted_knn_fold <- function(train_data, test_data, fold_number, k = 3) {
  # Ensure feedback is correctly handled as a factor
  train_data$feedback <- factor(train_data$feedback, levels = c("-1", "1"))
  test_data$feedback <- factor(test_data$feedback, levels = c("-1", "1"))
  
  # Identify PC columns
  pc_cols <- grep("^PC\\d+_score$", colnames(train_data), value = TRUE)
  
  # Feature variables to use
  feature_vars <- c("avg_spike_count", "contrast_interaction", pc_cols)
  
  # Check if all feature variables exist in the data
  missing_vars <- feature_vars[!feature_vars %in% colnames(train_data)]
  if (length(missing_vars) > 0) {
    cat("Warning: The following variables are missing:", paste(missing_vars, collapse=", "), "\n")
    feature_vars <- feature_vars[feature_vars %in% colnames(train_data)]
  }
  
  # Check that we have features to work with
  if (length(feature_vars) == 0) {
    return(list(success = FALSE, message = "No valid features found"))
  }
  
  # Extract feature matrices
  x_train <- train_data[, feature_vars, drop=FALSE]
  x_test <- test_data[, feature_vars, drop=FALSE]
  
  # Create numeric matrices with careful handling of NAs and non-numeric values
  x_train_numeric <- as.data.frame(matrix(NA, nrow = nrow(x_train), ncol = length(feature_vars)))
  colnames(x_train_numeric) <- feature_vars
  x_test_numeric <- as.data.frame(matrix(NA, nrow = nrow(x_test), ncol = length(feature_vars)))
  colnames(x_test_numeric) <- feature_vars
  
  # Process each column individually with robust error handling
  for (col in feature_vars) {
    # Safe conversion to numeric with explicit NA handling
    tryCatch({
      # For training data
      numeric_values <- suppressWarnings(as.numeric(as.character(x_train[[col]])))
      if (sum(!is.na(numeric_values)) > 0) {  # If we have some valid values
        col_mean <- mean(numeric_values, na.rm = TRUE)
        numeric_values[is.na(numeric_values)] <- col_mean
        x_train_numeric[[col]] <- numeric_values
      } else {
        cat("Warning: Column", col, "has no valid numeric values in training data, using zeros\n")
        x_train_numeric[[col]] <- 0
      }
      
      # For test data
      numeric_values_test <- suppressWarnings(as.numeric(as.character(x_test[[col]])))
      if (sum(!is.na(numeric_values_test)) > 0) {
        col_mean <- mean(x_train_numeric[[col]], na.rm = TRUE)  # Use training mean
        numeric_values_test[is.na(numeric_values_test)] <- col_mean
        x_test_numeric[[col]] <- numeric_values_test
      } else {
        cat("Warning: Column", col, "has no valid numeric values in test data, using zeros\n")
        x_test_numeric[[col]] <- 0
      }
    }, error = function(e) {
      cat("Error processing column", col, ":", e$message, "\n")
      x_train_numeric[[col]] <- 0
      x_test_numeric[[col]] <- 0
    })
  }
  
  # Check for any remaining NA values
  if (any(is.na(x_train_numeric))) {
    cat("Warning: NA values still present in training data after processing\n")
    # Replace any remaining NA values with 0
    x_train_numeric[is.na(x_train_numeric)] <- 0
  }
  
  if (any(is.na(x_test_numeric))) {
    cat("Warning: NA values still present in test data after processing\n")
    # Replace any remaining NA values with 0
    x_test_numeric[is.na(x_test_numeric)] <- 0
  }
  
  # Check for constant features safely
  feature_sds <- apply(x_train_numeric, 2, function(x) sd(x, na.rm = TRUE))
  
  # Identify and remove constant features
  constant_features <- names(feature_sds)[feature_sds == 0 | is.na(feature_sds)]
  if (length(constant_features) > 0) {
    cat("Removing constant features:", paste(constant_features, collapse=", "), "\n")
    x_train_numeric <- x_train_numeric[, !colnames(x_train_numeric) %in% constant_features, drop=FALSE]
    x_test_numeric <- x_test_numeric[, !colnames(x_test_numeric) %in% constant_features, drop=FALSE]
  }
  
  # Make sure we still have features after removing constants
  if (ncol(x_train_numeric) == 0) {
    return(list(success = FALSE, message = "No valid features remain after removing constants"))
  }
  
  # Scale the features
  feature_means <- colMeans(x_train_numeric)
  feature_sds <- apply(x_train_numeric, 2, sd)
  # Protect against zero standard deviations (should already be handled, but just in case)
  feature_sds[feature_sds == 0] <- 1
  
  # Apply scaling
  x_train_scaled <- scale(x_train_numeric, center = feature_means, scale = feature_sds)
  x_test_scaled <- scale(x_test_numeric, center = feature_means, scale = feature_sds)
  
  # Calculate class weights
  class_counts <- table(train_data$feedback)
  total_samples <- sum(class_counts)
  
  # Calculate weights (inverse of class frequencies)
  neg_weight <- total_samples / (2 * class_counts["-1"])
  pos_weight <- total_samples / (2 * class_counts["1"])
  
  cat("Class distribution - Negative:", class_counts["-1"], "Positive:", class_counts["1"], "\n")
  cat("Weights - Negative:", round(neg_weight, 3), "Positive:", round(pos_weight, 3), "\n")
  
  # Implement weighted kNN through case replication
  min_weight <- min(neg_weight, pos_weight)
  multiplier <- 1 / min_weight
  neg_replicate <- round(neg_weight * multiplier)
  pos_replicate <- round(pos_weight * multiplier)
  
  # Create replicated training set
  weighted_indices <- c()
  for (i in 1:nrow(train_data)) {
    if (train_data$feedback[i] == "-1") {
      weighted_indices <- c(weighted_indices, rep(i, neg_replicate))
    } else {
      weighted_indices <- c(weighted_indices, rep(i, pos_replicate))
    }
  }
  
  # For very large datasets, limit the size of the weighted training set
  if (length(weighted_indices) > 10000) {
    cat("Training set is large (", length(weighted_indices), "samples), sampling to 10000 samples\n")
    set.seed(123 + fold_number)  # For reproducibility
    weighted_indices <- sample(weighted_indices, 10000)
  }
  
  x_train_weighted <- x_train_scaled[weighted_indices, ]
  y_train_weighted <- train_data$feedback[weighted_indices]
  
  cat("Original training size:", nrow(x_train_scaled), 
      "Weighted training size:", nrow(x_train_weighted), "\n")
  cat("Class balance after weighting - Negative:", sum(y_train_weighted == "-1"), 
      "Positive:", sum(y_train_weighted == "1"), "\n")
  
  # Check for NAs one last time before kNN
  if (any(is.na(x_train_weighted))) {
    cat("Warning: NAs in weighted training data before kNN\n")
    x_train_weighted[is.na(x_train_weighted)] <- 0
  }
  
  if (any(is.na(x_test_scaled))) {
    cat("Warning: NAs in test data before kNN\n")
    x_test_scaled[is.na(x_test_scaled)] <- 0
  }
  
  # Implement kNN with k=3
  tryCatch({
    knn_pred <- knn(train = x_train_weighted, 
                    test = x_test_scaled, 
                    cl = y_train_weighted, 
                    k = k,
                    prob = TRUE)  # Get probability information
    
    # Extract probability information
    knn_prob <- attr(knn_pred, "prob")
    
    # Adjust probabilities to be for the positive class
    test_predictions_prob <- ifelse(knn_pred == "1", knn_prob, 1 - knn_prob)
    test_predictions <- knn_pred
    
    # Calculate accuracy
    accuracy <- mean(test_predictions == test_data$feedback, na.rm = TRUE)
    
    # Create confusion matrix
    conf_matrix <- table(Predicted = test_predictions, Actual = test_data$feedback)
    
    # Calculate metrics
    TP <- ifelse("1" %in% rownames(conf_matrix) && "1" %in% colnames(conf_matrix), 
                conf_matrix["1", "1"], 0)
    FP <- ifelse("1" %in% rownames(conf_matrix) && "-1" %in% colnames(conf_matrix), 
                conf_matrix["1", "-1"], 0)
    TN <- ifelse("-1" %in% rownames(conf_matrix) && "-1" %in% colnames(conf_matrix), 
                conf_matrix["-1", "-1"], 0)
    FN <- ifelse("-1" %in% rownames(conf_matrix) && "1" %in% colnames(conf_matrix), 
                conf_matrix["-1", "1"], 0)
    
    precision <- ifelse(TP + FP > 0, TP / (TP + FP), NA)
    recall <- ifelse(TP + FN > 0, TP / (TP + FN), NA)
    specificity <- ifelse(TN + FP > 0, TN / (TN + FP), NA)
    f1_score <- ifelse(!is.na(precision) && !is.na(recall) && precision + recall > 0, 
                      2 * precision * recall / (precision + recall), NA)
    balanced_acc <- (recall + specificity) / 2
    
    # Calculate AUC
    test_feedback_numeric <- as.numeric(test_data$feedback == "1")
    roc_obj <- tryCatch({
      roc(test_feedback_numeric, test_predictions_prob)
    }, error = function(e) NULL)
    
    auc_value <- if(!is.null(roc_obj)) auc(roc_obj) else NA
    
    # Return all metrics
    return(list(
      success = TRUE,
      fold = fold_number,
      k = k,
      accuracy = accuracy,
      conf_matrix = conf_matrix,
      precision = precision,
      recall = recall,
      specificity = specificity,
      balanced_accuracy = balanced_acc,
      f1_score = f1_score,
      auc = auc_value,
      roc = roc_obj,
      feature_vars = feature_vars,
      neg_weight = neg_weight,
      pos_weight = pos_weight
    ))
  }, error = function(e) {
    cat("Error in kNN prediction:", e$message, "\n")
    return(list(
      success = FALSE,
      fold = fold_number,
      message = paste("Error in kNN prediction:", e$message)
    ))
  })
}

# Run evaluation for all folds
weighted_knn_results <- list()
for (i in 1:4) {
  cat("\n======== Evaluating Weighted kNN Model (k=3) on Fold", i, "========\n")
  train_data <- train_test_pairs[[i]]$train
  test_data <- train_test_pairs[[i]]$test
  
  # Check if contrast_interaction exists and create if needed
  if (!"contrast_interaction" %in% colnames(train_data)) {
    cat("Creating contrast_interaction variable...\n")
    # Handle potential non-numeric values
    train_leftcontrast <- as.numeric(as.character(train_data$leftcontrast))
    train_rightcontrast <- as.numeric(as.character(train_data$rightcontrast))
    test_leftcontrast <- as.numeric(as.character(test_data$leftcontrast))
    test_rightcontrast <- as.numeric(as.character(test_data$rightcontrast))
    
    # Replace NAs with 0
    train_leftcontrast[is.na(train_leftcontrast)] <- 0
    train_rightcontrast[is.na(train_rightcontrast)] <- 0
    test_leftcontrast[is.na(test_leftcontrast)] <- 0
    test_rightcontrast[is.na(test_rightcontrast)] <- 0
    
    train_data$contrast_interaction <- train_leftcontrast * train_rightcontrast
    test_data$contrast_interaction <- test_leftcontrast * test_rightcontrast
  }
  
  # Run weighted kNN with k=3
  result <- evaluate_weighted_knn_fold(train_data, test_data, i, k = 3)
  weighted_knn_results[[i]] <- result
  
  if (!result$success) {
    cat("Fold", i, "analysis failed:", result$message, "\n")
    next
  }
  
  # Print metrics for this fold
  cat("Fold", i, "metrics (k=3):\n")
  cat("Accuracy:", round(result$accuracy * 100, 2), "%\n")
  cat("Balanced Accuracy:", round(result$balanced_accuracy * 100, 2), "%\n")
  cat("Confusion Matrix:\n")
  print(result$conf_matrix)
  cat("Precision:", round(result$precision, 3), "\n")
  cat("Recall (Sensitivity):", round(result$recall, 3), "\n")
  cat("Specificity:", round(result$specificity, 3), "\n")
  cat("F1 Score:", round(result$f1_score, 3), "\n")
  cat("AUC:", round(result$auc, 3), "\n\n")
}
## 
## ======== Evaluating Weighted kNN Model (k=3) on Fold 1 ========
## Warning: Column contrast_interaction has no valid numeric values in training data, using zeros
## Warning: Column contrast_interaction has no valid numeric values in test data, using zeros
## Removing constant features: contrast_interaction 
## Class distribution - Negative: 9759 Positive: 24843 
## Weights - Negative: 1.773 Positive: 0.696 
## Training set is large ( 54120 samples), sampling to 10000 samples
## Original training size: 34602 Weighted training size: 10000 
## Class balance after weighting - Negative: 5380 Positive: 4620
## Setting levels: control = 0, case = 1
## Setting direction: controls < cases
## Fold 1 metrics (k=3):
## Accuracy: 61.05 %
## Balanced Accuracy: 64.12 %
## Confusion Matrix:
##          Actual
## Predicted   -1    1
##        -1 2315 3555
##        1   938 4726
## Precision: 0.834 
## Recall (Sensitivity): 0.571 
## Specificity: 0.712 
## F1 Score: 0.678 
## AUC: 0.719 
## 
## 
## ======== Evaluating Weighted kNN Model (k=3) on Fold 2 ========
## Warning: Column contrast_interaction has no valid numeric values in training data, using zeros
## Warning: Column contrast_interaction has no valid numeric values in test data, using zeros
## Removing constant features: contrast_interaction 
## Class distribution - Negative: 9759 Positive: 24843 
## Weights - Negative: 1.773 Positive: 0.696 
## Training set is large ( 54120 samples), sampling to 10000 samples
## Original training size: 34602 Weighted training size: 10000 
## Class balance after weighting - Negative: 5329 Positive: 4671
## Setting levels: control = 0, case = 1
## Setting direction: controls < cases
## Fold 2 metrics (k=3):
## Accuracy: 61.05 %
## Balanced Accuracy: 64.49 %
## Confusion Matrix:
##          Actual
## Predicted   -1    1
##        -1 2354 3593
##        1   899 4688
## Precision: 0.839 
## Recall (Sensitivity): 0.566 
## Specificity: 0.724 
## F1 Score: 0.676 
## AUC: 0.724 
## 
## 
## ======== Evaluating Weighted kNN Model (k=3) on Fold 3 ========
## Warning: Column contrast_interaction has no valid numeric values in training data, using zeros
## Warning: Column contrast_interaction has no valid numeric values in test data, using zeros
## Removing constant features: contrast_interaction 
## Class distribution - Negative: 9759 Positive: 24843 
## Weights - Negative: 1.773 Positive: 0.696 
## Training set is large ( 54120 samples), sampling to 10000 samples
## Original training size: 34602 Weighted training size: 10000 
## Class balance after weighting - Negative: 5370 Positive: 4630
## Setting levels: control = 0, case = 1
## Setting direction: controls < cases
## Fold 3 metrics (k=3):
## Accuracy: 60.68 %
## Balanced Accuracy: 64.23 %
## Confusion Matrix:
##          Actual
## Predicted   -1    1
##        -1 2354 3636
##        1   899 4645
## Precision: 0.838 
## Recall (Sensitivity): 0.561 
## Specificity: 0.724 
## F1 Score: 0.672 
## AUC: 0.721 
## 
## 
## ======== Evaluating Weighted kNN Model (k=3) on Fold 4 ========
## Warning: Column contrast_interaction has no valid numeric values in training data, using zeros
## Warning: Column contrast_interaction has no valid numeric values in test data, using zeros
## Removing constant features: contrast_interaction 
## Class distribution - Negative: 9759 Positive: 24843 
## Weights - Negative: 1.773 Positive: 0.696 
## Training set is large ( 54120 samples), sampling to 10000 samples
## Original training size: 34602 Weighted training size: 10000 
## Class balance after weighting - Negative: 5372 Positive: 4628
## Setting levels: control = 0, case = 1
## Setting direction: controls < cases
## Fold 4 metrics (k=3):
## Accuracy: 60.44 %
## Balanced Accuracy: 63.79 %
## Confusion Matrix:
##          Actual
## Predicted   -1    1
##        -1 2325 3635
##        1   928 4646
## Precision: 0.834 
## Recall (Sensitivity): 0.561 
## Specificity: 0.715 
## F1 Score: 0.671 
## AUC: 0.719
# Calculate average metrics across successful folds
successful_folds <- which(sapply(weighted_knn_results, function(x) isTRUE(x$success)))

if (length(successful_folds) > 0) {
  avg_accuracy <- mean(sapply(weighted_knn_results[successful_folds], function(x) x$accuracy), na.rm = TRUE)
  avg_balanced_acc <- mean(sapply(weighted_knn_results[successful_folds], function(x) x$balanced_accuracy), na.rm = TRUE)
  avg_precision <- mean(sapply(weighted_knn_results[successful_folds], function(x) x$precision), na.rm = TRUE)
  avg_recall <- mean(sapply(weighted_knn_results[successful_folds], function(x) x$recall), na.rm = TRUE)
  avg_specificity <- mean(sapply(weighted_knn_results[successful_folds], function(x) x$specificity), na.rm = TRUE)
  avg_f1 <- mean(sapply(weighted_knn_results[successful_folds], function(x) x$f1_score), na.rm = TRUE)
  avg_auc <- mean(sapply(weighted_knn_results[successful_folds], function(x) x$auc), na.rm = TRUE)
  
  cat("\n======== WEIGHTED KNN (k=3) MODEL CROSS-VALIDATION SUMMARY ========\n")
  cat("Average Accuracy:", round(avg_accuracy * 100, 2), "%\n")
  cat("Average Balanced Accuracy:", round(avg_balanced_acc * 100, 2), "%\n")
  cat("Average Precision:", round(avg_precision, 3), "\n")
  cat("Average Recall (Sensitivity):", round(avg_recall, 3), "\n")
  cat("Average Specificity:", round(avg_specificity, 3), "\n")
  cat("Average F1 Score:", round(avg_f1, 3), "\n")
  cat("Average AUC:", round(avg_auc, 3), "\n")
  
  # Compare with other models if they exist
  comparison_models <- c("kNN (k=3, weighted)")
  comparison_accuracy <- c(avg_accuracy)
  comparison_balanced_acc <- c(avg_balanced_acc)
  comparison_precision <- c(avg_precision)
  comparison_recall <- c(avg_recall)
  comparison_f1 <- c(avg_f1)
  comparison_auc <- c(avg_auc)
  
}
## 
## ======== WEIGHTED KNN (k=3) MODEL CROSS-VALIDATION SUMMARY ========
## Average Accuracy: 60.81 %
## Average Balanced Accuracy: 64.16 %
## Average Precision: 0.836 
## Average Recall (Sensitivity): 0.565 
## Average Specificity: 0.718 
## Average F1 Score: 0.674 
## Average AUC: 0.72
weighted_knn_results
## [[1]]
## [[1]]$success
## [1] TRUE
## 
## [[1]]$fold
## [1] 1
## 
## [[1]]$k
## [1] 3
## 
## [[1]]$accuracy
## [1] 0.610456
## 
## [[1]]$conf_matrix
##          Actual
## Predicted   -1    1
##        -1 2315 3555
##        1   938 4726
## 
## [[1]]$precision
## [1] 0.8343927
## 
## [[1]]$recall
## [1] 0.570704
## 
## [[1]]$specificity
## [1] 0.7116508
## 
## [[1]]$balanced_accuracy
## [1] 0.6411774
## 
## [[1]]$f1_score
## [1] 0.6778057
## 
## [[1]]$auc
## Area under the curve: 0.7185
## 
## [[1]]$roc
## 
## Call:
## roc.default(response = test_feedback_numeric, predictor = test_predictions_prob)
## 
## Data: test_predictions_prob in 3253 controls (test_feedback_numeric 0) < 8281 cases (test_feedback_numeric 1).
## Area under the curve: 0.7185
## 
## [[1]]$feature_vars
##  [1] "avg_spike_count"      "contrast_interaction" "PC107_score"         
##  [4] "PC4_score"            "PC112_score"          "PC7_score"           
##  [7] "PC1_score"            "PC66_score"           "PC40_score"          
## [10] "PC104_score"          "PC35_score"           "PC85_score"          
## [13] "PC41_score"           "PC33_score"           "PC96_score"          
## [16] "PC37_score"           "PC108_score"          "PC91_score"          
## [19] "PC76_score"           "PC5_score"            "PC102_score"         
## [22] "PC16_score"           "PC106_score"          "PC98_score"          
## [25] "PC3_score"            "PC28_score"           "PC61_score"          
## [28] "PC111_score"          "PC55_score"           "PC50_score"          
## [31] "PC38_score"           "PC72_score"           "PC78_score"          
## [34] "PC48_score"           "PC67_score"           "PC65_score"          
## [37] "PC49_score"           "PC22_score"           "PC100_score"         
## [40] "PC30_score"           "PC64_score"           "PC59_score"          
## [43] "PC34_score"           "PC57_score"           "PC58_score"          
## [46] "PC36_score"           "PC70_score"           "PC77_score"          
## [49] "PC14_score"           "PC73_score"           "PC23_score"          
## [52] "PC44_score"           "PC8_score"            "PC101_score"         
## [55] "PC113_score"         
## 
## [[1]]$neg_weight
##       -1 
## 1.772825 
## 
## [[1]]$pos_weight
##         1 
## 0.6964135 
## 
## 
## [[2]]
## [[2]]$success
## [1] TRUE
## 
## [[2]]$fold
## [1] 2
## 
## [[2]]$k
## [1] 3
## 
## [[2]]$accuracy
## [1] 0.6105427
## 
## [[2]]$conf_matrix
##          Actual
## Predicted   -1    1
##        -1 2354 3593
##        1   899 4688
## 
## [[2]]$precision
## [1] 0.8390907
## 
## [[2]]$recall
## [1] 0.5661152
## 
## [[2]]$specificity
## [1] 0.7236397
## 
## [[2]]$balanced_accuracy
## [1] 0.6448775
## 
## [[2]]$f1_score
## [1] 0.6760888
## 
## [[2]]$auc
## Area under the curve: 0.7238
## 
## [[2]]$roc
## 
## Call:
## roc.default(response = test_feedback_numeric, predictor = test_predictions_prob)
## 
## Data: test_predictions_prob in 3253 controls (test_feedback_numeric 0) < 8281 cases (test_feedback_numeric 1).
## Area under the curve: 0.7238
## 
## [[2]]$feature_vars
##  [1] "avg_spike_count"      "contrast_interaction" "PC107_score"         
##  [4] "PC4_score"            "PC112_score"          "PC7_score"           
##  [7] "PC1_score"            "PC66_score"           "PC40_score"          
## [10] "PC104_score"          "PC35_score"           "PC85_score"          
## [13] "PC41_score"           "PC33_score"           "PC96_score"          
## [16] "PC37_score"           "PC108_score"          "PC91_score"          
## [19] "PC76_score"           "PC5_score"            "PC102_score"         
## [22] "PC16_score"           "PC106_score"          "PC98_score"          
## [25] "PC3_score"            "PC28_score"           "PC61_score"          
## [28] "PC111_score"          "PC55_score"           "PC50_score"          
## [31] "PC38_score"           "PC72_score"           "PC78_score"          
## [34] "PC48_score"           "PC67_score"           "PC65_score"          
## [37] "PC49_score"           "PC22_score"           "PC100_score"         
## [40] "PC30_score"           "PC64_score"           "PC59_score"          
## [43] "PC34_score"           "PC57_score"           "PC58_score"          
## [46] "PC36_score"           "PC70_score"           "PC77_score"          
## [49] "PC14_score"           "PC73_score"           "PC23_score"          
## [52] "PC44_score"           "PC8_score"            "PC101_score"         
## [55] "PC113_score"         
## 
## [[2]]$neg_weight
##       -1 
## 1.772825 
## 
## [[2]]$pos_weight
##         1 
## 0.6964135 
## 
## 
## [[3]]
## [[3]]$success
## [1] TRUE
## 
## [[3]]$fold
## [1] 3
## 
## [[3]]$k
## [1] 3
## 
## [[3]]$accuracy
## [1] 0.6068146
## 
## [[3]]$conf_matrix
##          Actual
## Predicted   -1    1
##        -1 2354 3636
##        1   899 4645
## 
## [[3]]$precision
## [1] 0.8378427
## 
## [[3]]$recall
## [1] 0.5609226
## 
## [[3]]$specificity
## [1] 0.7236397
## 
## [[3]]$balanced_accuracy
## [1] 0.6422812
## 
## [[3]]$f1_score
## [1] 0.6719711
## 
## [[3]]$auc
## Area under the curve: 0.7208
## 
## [[3]]$roc
## 
## Call:
## roc.default(response = test_feedback_numeric, predictor = test_predictions_prob)
## 
## Data: test_predictions_prob in 3253 controls (test_feedback_numeric 0) < 8281 cases (test_feedback_numeric 1).
## Area under the curve: 0.7208
## 
## [[3]]$feature_vars
##  [1] "avg_spike_count"      "contrast_interaction" "PC107_score"         
##  [4] "PC4_score"            "PC112_score"          "PC7_score"           
##  [7] "PC1_score"            "PC66_score"           "PC40_score"          
## [10] "PC104_score"          "PC35_score"           "PC85_score"          
## [13] "PC41_score"           "PC33_score"           "PC96_score"          
## [16] "PC37_score"           "PC108_score"          "PC91_score"          
## [19] "PC76_score"           "PC5_score"            "PC102_score"         
## [22] "PC16_score"           "PC106_score"          "PC98_score"          
## [25] "PC3_score"            "PC28_score"           "PC61_score"          
## [28] "PC111_score"          "PC55_score"           "PC50_score"          
## [31] "PC38_score"           "PC72_score"           "PC78_score"          
## [34] "PC48_score"           "PC67_score"           "PC65_score"          
## [37] "PC49_score"           "PC22_score"           "PC100_score"         
## [40] "PC30_score"           "PC64_score"           "PC59_score"          
## [43] "PC34_score"           "PC57_score"           "PC58_score"          
## [46] "PC36_score"           "PC70_score"           "PC77_score"          
## [49] "PC14_score"           "PC73_score"           "PC23_score"          
## [52] "PC44_score"           "PC8_score"            "PC101_score"         
## [55] "PC113_score"         
## 
## [[3]]$neg_weight
##       -1 
## 1.772825 
## 
## [[3]]$pos_weight
##         1 
## 0.6964135 
## 
## 
## [[4]]
## [[4]]$success
## [1] TRUE
## 
## [[4]]$fold
## [1] 4
## 
## [[4]]$k
## [1] 3
## 
## [[4]]$accuracy
## [1] 0.604387
## 
## [[4]]$conf_matrix
##          Actual
## Predicted   -1    1
##        -1 2325 3635
##        1   928 4646
## 
## [[4]]$precision
## [1] 0.8335127
## 
## [[4]]$recall
## [1] 0.5610434
## 
## [[4]]$specificity
## [1] 0.7147249
## 
## [[4]]$balanced_accuracy
## [1] 0.6378841
## 
## [[4]]$f1_score
## [1] 0.6706604
## 
## [[4]]$auc
## Area under the curve: 0.7186
## 
## [[4]]$roc
## 
## Call:
## roc.default(response = test_feedback_numeric, predictor = test_predictions_prob)
## 
## Data: test_predictions_prob in 3253 controls (test_feedback_numeric 0) < 8281 cases (test_feedback_numeric 1).
## Area under the curve: 0.7186
## 
## [[4]]$feature_vars
##  [1] "avg_spike_count"      "contrast_interaction" "PC107_score"         
##  [4] "PC4_score"            "PC112_score"          "PC7_score"           
##  [7] "PC1_score"            "PC66_score"           "PC40_score"          
## [10] "PC104_score"          "PC35_score"           "PC85_score"          
## [13] "PC41_score"           "PC33_score"           "PC96_score"          
## [16] "PC37_score"           "PC108_score"          "PC91_score"          
## [19] "PC76_score"           "PC5_score"            "PC102_score"         
## [22] "PC16_score"           "PC106_score"          "PC98_score"          
## [25] "PC3_score"            "PC28_score"           "PC61_score"          
## [28] "PC111_score"          "PC55_score"           "PC50_score"          
## [31] "PC38_score"           "PC72_score"           "PC78_score"          
## [34] "PC48_score"           "PC67_score"           "PC65_score"          
## [37] "PC49_score"           "PC22_score"           "PC100_score"         
## [40] "PC30_score"           "PC64_score"           "PC59_score"          
## [43] "PC34_score"           "PC57_score"           "PC58_score"          
## [46] "PC36_score"           "PC70_score"           "PC77_score"          
## [49] "PC14_score"           "PC73_score"           "PC23_score"          
## [52] "PC44_score"           "PC8_score"            "PC101_score"         
## [55] "PC113_score"         
## 
## [[4]]$neg_weight
##       -1 
## 1.772825 
## 
## [[4]]$pos_weight
##         1 
## 0.6964135
library(xgboost)
## 
## Attaching package: 'xgboost'
## The following object is masked from 'package:dplyr':
## 
##     slice
library(pROC)

# Function to evaluate XGBoost model on a single fold
evaluate_xgboost_fold <- function(train_data, test_data, fold_number) {
  # Ensure feedback is correctly handled
  train_data$feedback <- factor(train_data$feedback, levels = c(-1, 1))
  test_data$feedback <- factor(test_data$feedback, levels = c(-1, 1))
  
  # Convert feedback to 0/1 for XGBoost
  y_train <- as.numeric(train_data$feedback == "1")
  
  # Identify PC columns
  pc_cols <- grep("^PC\\d+_score$", colnames(train_data), value = TRUE)
  
  # Feature variables to use
  feature_vars <- c("avg_spike_count", "contrast_interaction", pc_cols)
  
  # Check if all feature variables exist in the data
  missing_vars <- feature_vars[!feature_vars %in% colnames(train_data)]
  if (length(missing_vars) > 0) {
    cat("Warning: The following variables are missing:", paste(missing_vars, collapse=", "), "\n")
    feature_vars <- feature_vars[feature_vars %in% colnames(train_data)]
  }
  
  # Check that we have features to work with
  if (length(feature_vars) == 0) {
    return(list(success = FALSE, message = "No valid features found"))
  }
  
  # Create feature matrices for XGBoost
  # First handle missing values and convert to numeric matrix
  x_train_df <- train_data[, feature_vars, drop=FALSE]
  x_test_df <- test_data[, feature_vars, drop=FALSE]
  
  # Ensure all variables are numeric
  for (col in feature_vars) {
    x_train_df[[col]] <- as.numeric(x_train_df[[col]])
    x_test_df[[col]] <- as.numeric(x_test_df[[col]])
    
    # Handle NAs if any
    if (any(is.na(x_train_df[[col]]))) {
      col_mean <- mean(x_train_df[[col]], na.rm = TRUE)
      x_train_df[[col]][is.na(x_train_df[[col]])] <- col_mean
    }
    if (any(is.na(x_test_df[[col]]))) {
      col_mean <- mean(x_train_df[[col]], na.rm = TRUE) # Use training mean
      x_test_df[[col]][is.na(x_test_df[[col]])] <- col_mean
    }
  }
  
  # Create DMatrix objects
  dtrain <- xgb.DMatrix(data = as.matrix(x_train_df), label = y_train)
  
  # Calculate class weight based on class distribution
  neg_count <- sum(y_train == 0)
  pos_count <- sum(y_train == 1)
  scale_pos_weight <- neg_count / pos_count
  
  cat("Class distribution - Negative:", neg_count, "Positive:", pos_count, "\n")
  cat("scale_pos_weight:", scale_pos_weight, "\n")
  
  # XGBoost parameters with class weighting
  params <- list(
    objective = "binary:logistic",
    eval_metric = "auc",
    eta = 0.1,
    max_depth = 6,
    min_child_weight = 1,
    subsample = 0.8,
    colsample_bytree = 0.8,
    scale_pos_weight = scale_pos_weight  # Add class weighting
  )
  
  # Run cross-validation to find optimal number of rounds
  cv_results <- xgb.cv(
    params = params,
    data = dtrain,
    nrounds = 100,
    nfold = 5,
    early_stopping_rounds = 10,
    verbose = 0
  )
  
  # Get optimal number of rounds
  best_nrounds <- cv_results$best_iteration
  cat("Best number of rounds from CV:", best_nrounds, "\n")
  
  # Train the model
  xgb_model <- xgb.train(
    params = params,
    data = dtrain,
    nrounds = best_nrounds,
    verbose = 0
  )
  
  # Make predictions on test set
  x_test_matrix <- as.matrix(x_test_df)
  test_predictions_prob <- predict(xgb_model, x_test_matrix)
  test_predictions <- ifelse(test_predictions_prob > 0.5, "1", "-1")
  test_predictions <- factor(test_predictions, levels = c("-1", "1"))
  
  # Add diagnostic information
  cat("Number of NA in predictions:", sum(is.na(test_predictions)), "\n")
  cat("Number of NA in actual feedback:", sum(is.na(test_data$feedback)), "\n")
  cat("First 10 predictions:", as.character(head(test_predictions, 10)), "\n")
  cat("First 10 actual values:", as.character(head(test_data$feedback, 10)), "\n")
  
  # Calculate accuracy
  accuracy <- mean(test_predictions == test_data$feedback, na.rm = TRUE)
  
  # Create confusion matrix
  conf_matrix <- table(Predicted = test_predictions, Actual = test_data$feedback)
  
  # Calculate other metrics
  precision <- tryCatch({
    conf_matrix["1","1"] / sum(conf_matrix["1",])
  }, error = function(e) NA)
  
  recall <- tryCatch({
    conf_matrix["1","1"] / sum(conf_matrix[,"1"])
  }, error = function(e) NA)
  
  f1_score <- tryCatch({
    2 * precision * recall / (precision + recall)
  }, error = function(e) NA)
  
  # Calculate AUC
  test_feedback_numeric <- as.numeric(test_data$feedback == "1")
  roc_obj <- tryCatch({
    roc(test_feedback_numeric, test_predictions_prob)
  }, error = function(e) NULL)
  
  auc_value <- if(!is.null(roc_obj)) auc(roc_obj) else NA
  
  # Get feature importance
  importance <- xgb.importance(feature_names = feature_vars, model = xgb_model)
  
  # Return all metrics
  return(list(
    success = TRUE,
    fold = fold_number,
    model = xgb_model,
    accuracy = accuracy,
    conf_matrix = conf_matrix,
    precision = precision,
    recall = recall,
    f1_score = f1_score,
    auc = auc_value,
    roc = roc_obj,
    importance = importance,
    feature_vars = feature_vars,
    scale_pos_weight = scale_pos_weight
  ))
}

# Run evaluation for all folds
xgb_results <- list()
for (i in 1:4) {
  cat("\n======== Evaluating XGBoost Model on Fold", i, "========\n")
  train_data <- train_test_pairs[[i]]$train
  test_data <- train_test_pairs[[i]]$test
  
  # Check if contrast_interaction exists
  if (!"contrast_interaction" %in% colnames(train_data)) {
    cat("Warning: contrast_interaction not found, creating it now\n")
    # Create contrast_interaction if it doesn't exist
    train_data$contrast_interaction <- as.numeric(train_data$leftcontrast) * as.numeric(train_data$rightcontrast)
    test_data$contrast_interaction <- as.numeric(test_data$leftcontrast) * as.numeric(test_data$rightcontrast)
  }
  
  result <- evaluate_xgboost_fold(train_data, test_data, i)
  xgb_results[[i]] <- result
  
  if (!result$success) {
    cat("Fold", i, "analysis failed:", result$message, "\n")
    next
  }
  
  # Print metrics for this fold
  cat("Fold", i, "metrics:\n")
  cat("Accuracy:", round(result$accuracy * 100, 2), "%\n")
  cat("Confusion Matrix:\n")
  print(result$conf_matrix)
  cat("Precision:", round(result$precision, 3), "\n")
  cat("Recall:", round(result$recall, 3), "\n")
  cat("F1 Score:", round(result$f1_score, 3), "\n")
  cat("AUC:", round(result$auc, 3), "\n\n")
  
  # Print feature importance
  cat("Feature Importance:\n")
  if (nrow(result$importance) > 0) {
    print(head(result$importance, 10))
  } else {
    cat("No feature importance available\n")
  }
}
## 
## ======== Evaluating XGBoost Model on Fold 1 ========
## Warning in evaluate_xgboost_fold(train_data, test_data, i): NAs introduced by
## coercion
## Warning in evaluate_xgboost_fold(train_data, test_data, i): NAs introduced by
## coercion
## Class distribution - Negative: 9759 Positive: 24843 
## scale_pos_weight: 0.392827 
## Best number of rounds from CV: 100 
## Number of NA in predictions: 0 
## Number of NA in actual feedback: 0 
## First 10 predictions: 1 1 1 1 1 -1 -1 -1 -1 -1 
## First 10 actual values: 1 1 1 1 1 -1 -1 -1 -1 -1
## Setting levels: control = 0, case = 1
## Setting direction: controls < cases
## Fold 1 metrics:
## Accuracy: 73.7 %
## Confusion Matrix:
##          Actual
## Predicted   -1    1
##        -1 2183 1964
##        1  1070 6317
## Precision: 0.855 
## Recall: 0.763 
## F1 Score: 0.806 
## AUC: 0.833 
## 
## Feature Importance:
##             Feature       Gain      Cover  Frequency
##              <char>      <num>      <num>      <num>
##  1:       PC4_score 0.03767520 0.05202925 0.02988432
##  2:       PC7_score 0.03632556 0.02293470 0.02699229
##  3:       PC1_score 0.03045886 0.03341203 0.02731362
##  4:      PC22_score 0.03033815 0.04058970 0.02506427
##  5:      PC67_score 0.02765764 0.03981933 0.02763496
##  6:      PC40_score 0.02659573 0.03175528 0.02410026
##  7:      PC91_score 0.02560819 0.01227065 0.02634961
##  8:      PC16_score 0.02524498 0.02150699 0.02506427
##  9: avg_spike_count 0.02511855 0.05153012 0.02313625
## 10:     PC107_score 0.02492291 0.02879388 0.02859897
## 
## ======== Evaluating XGBoost Model on Fold 2 ========
## Warning in evaluate_xgboost_fold(train_data, test_data, i): NAs introduced by
## coercion
## Warning in evaluate_xgboost_fold(train_data, test_data, i): NAs introduced by
## coercion
## Class distribution - Negative: 9759 Positive: 24843 
## scale_pos_weight: 0.392827 
## Best number of rounds from CV: 100 
## Number of NA in predictions: 0 
## Number of NA in actual feedback: 0 
## First 10 predictions: 1 1 1 1 1 -1 -1 -1 -1 -1 
## First 10 actual values: 1 1 1 1 1 -1 -1 -1 -1 -1
## Setting levels: control = 0, case = 1
## Setting direction: controls < cases
## Fold 2 metrics:
## Accuracy: 70.55 %
## Confusion Matrix:
##          Actual
## Predicted   -1    1
##        -1 2478 2622
##        1   775 5659
## Precision: 0.88 
## Recall: 0.683 
## F1 Score: 0.769 
## AUC: 0.838 
## 
## Feature Importance:
##             Feature       Gain      Cover  Frequency
##              <char>      <num>      <num>      <num>
##  1:       PC4_score 0.04327816 0.05010952 0.03487246
##  2:       PC7_score 0.03166604 0.02044117 0.02938327
##  3:       PC1_score 0.03049765 0.03681355 0.02873749
##  4:      PC22_score 0.03018264 0.03441104 0.01872780
##  5:      PC72_score 0.02861031 0.02048317 0.02260252
##  6:      PC67_score 0.02825517 0.04372973 0.02518566
##  7:      PC16_score 0.02621137 0.02155150 0.02453988
##  8:      PC40_score 0.02513181 0.03094789 0.02066516
##  9:     PC112_score 0.02470816 0.02520311 0.02518566
## 10: avg_spike_count 0.02421660 0.05298120 0.02357120
## 
## ======== Evaluating XGBoost Model on Fold 3 ========
## Warning in evaluate_xgboost_fold(train_data, test_data, i): NAs introduced by
## coercion
## Warning in evaluate_xgboost_fold(train_data, test_data, i): NAs introduced by
## coercion
## Class distribution - Negative: 9759 Positive: 24843 
## scale_pos_weight: 0.392827 
## Best number of rounds from CV: 100 
## Number of NA in predictions: 0 
## Number of NA in actual feedback: 0 
## First 10 predictions: 1 1 1 1 -1 -1 -1 -1 -1 -1 
## First 10 actual values: 1 1 1 1 -1 -1 -1 -1 -1 -1
## Setting levels: control = 0, case = 1
## Setting direction: controls < cases
## Fold 3 metrics:
## Accuracy: 70 %
## Confusion Matrix:
##          Actual
## Predicted   -1    1
##        -1 2477 2684
##        1   776 5597
## Precision: 0.878 
## Recall: 0.676 
## F1 Score: 0.764 
## AUC: 0.834 
## 
## Feature Importance:
##         Feature       Gain      Cover  Frequency
##          <char>      <num>      <num>      <num>
##  1:   PC4_score 0.03797792 0.03627530 0.02825637
##  2: PC107_score 0.03278587 0.01711724 0.03480358
##  3:  PC22_score 0.03185473 0.03948408 0.02136458
##  4:   PC1_score 0.03173265 0.02837821 0.02515507
##  5:  PC40_score 0.03075582 0.03699383 0.02515507
##  6:  PC67_score 0.03065123 0.04061956 0.02446589
##  7:   PC7_score 0.02628336 0.01806604 0.02481048
##  8: PC112_score 0.02506040 0.03165240 0.02481048
##  9:   PC5_score 0.02367259 0.01711243 0.02377671
## 10:  PC16_score 0.02301467 0.02365609 0.02274294
## 
## ======== Evaluating XGBoost Model on Fold 4 ========
## Warning in evaluate_xgboost_fold(train_data, test_data, i): NAs introduced by
## coercion
## Warning in evaluate_xgboost_fold(train_data, test_data, i): NAs introduced by
## coercion
## Class distribution - Negative: 9759 Positive: 24843 
## scale_pos_weight: 0.392827 
## Best number of rounds from CV: 100 
## Number of NA in predictions: 0 
## Number of NA in actual feedback: 0 
## First 10 predictions: 1 1 -1 -1 1 1 1 1 1 1 
## First 10 actual values: 1 1 -1 -1 1 1 1 1 1 1
## Setting levels: control = 0, case = 1
## Setting direction: controls < cases
## Fold 4 metrics:
## Accuracy: 69.69 %
## Confusion Matrix:
##          Actual
## Predicted   -1    1
##        -1 2507 2750
##        1   746 5531
## Precision: 0.881 
## Recall: 0.668 
## F1 Score: 0.76 
## AUC: 0.832 
## 
## Feature Importance:
##         Feature       Gain      Cover  Frequency
##          <char>      <num>      <num>      <num>
##  1:   PC1_score 0.03732686 0.03509703 0.03209076
##  2:   PC7_score 0.03227647 0.02378221 0.03014587
##  3:   PC4_score 0.02776679 0.04866314 0.02431118
##  4:  PC22_score 0.02749766 0.04224832 0.01944895
##  5:  PC16_score 0.02747125 0.02414407 0.02593193
##  6:  PC91_score 0.02659653 0.01707955 0.02495948
##  7: PC107_score 0.02635498 0.02352707 0.03176661
##  8:  PC40_score 0.02625388 0.02521276 0.02204214
##  9: PC108_score 0.02545860 0.04663778 0.02560778
## 10:  PC98_score 0.02531715 0.04055787 0.02269044
# Calculate average metrics across successful folds
successful_folds <- which(sapply(xgb_results, function(x) isTRUE(x$success)))
if (length(successful_folds) > 0) {
  avg_accuracy <- mean(sapply(xgb_results[successful_folds], function(x) x$accuracy), na.rm = TRUE)
  avg_precision <- mean(sapply(xgb_results[successful_folds], function(x) x$precision), na.rm = TRUE)
  avg_recall <- mean(sapply(xgb_results[successful_folds], function(x) x$recall), na.rm = TRUE)
  avg_f1 <- mean(sapply(xgb_results[successful_folds], function(x) x$f1_score), na.rm = TRUE)
  avg_auc <- mean(sapply(xgb_results[successful_folds], function(x) x$auc), na.rm = TRUE)
  avg_scale_pos_weight <- mean(sapply(xgb_results[successful_folds], function(x) x$scale_pos_weight), na.rm = TRUE)
  
  cat("\n======== XGBOOST MODEL CROSS-VALIDATION SUMMARY ========\n")
  cat("Average Accuracy:", round(avg_accuracy * 100, 2), "%\n")
  cat("Average Precision:", round(avg_precision, 3), "\n")
  cat("Average Recall:", round(avg_recall, 3), "\n")
  cat("Average F1 Score:", round(avg_f1, 3), "\n")
  cat("Average AUC:", round(avg_auc, 3), "\n")
  cat("Average scale_pos_weight:", round(avg_scale_pos_weight, 3), "\n")
  
  # Aggregate feature importance across folds
  all_importance <- data.frame()
  
  for (i in successful_folds) {
    imp <- xgb_results[[i]]$importance
    if (nrow(imp) > 0) {
      imp$Fold <- i
      all_importance <- rbind(all_importance, imp)
    }
  }
  
  if (nrow(all_importance) > 0) {
    # Average importance across folds
    avg_importance <- aggregate(Gain ~ Feature, data = all_importance, FUN = mean)
    avg_importance <- avg_importance[order(-avg_importance$Gain), ]
    
    cat("\n======== AVERAGE FEATURE IMPORTANCE ACROSS FOLDS ========\n")
    print(avg_importance)
  }
} # This closing brace was missing
## 
## ======== XGBOOST MODEL CROSS-VALIDATION SUMMARY ========
## Average Accuracy: 70.98 %
## Average Precision: 0.874 
## Average Recall: 0.698 
## Average F1 Score: 0.775 
## Average AUC: 0.834 
## Average scale_pos_weight: 0.393 
## 
## ======== AVERAGE FEATURE IMPORTANCE ACROSS FOLDS ========
##            Feature       Gain
## 26       PC4_score 0.03667452
## 2        PC1_score 0.03250400
## 43       PC7_score 0.03163786
## 15      PC22_score 0.02996830
## 27      PC40_score 0.02718431
## 42      PC67_score 0.02706108
## 8      PC107_score 0.02646822
## 14      PC16_score 0.02548557
## 52      PC91_score 0.02436390
## 11     PC112_score 0.02320121
## 9      PC108_score 0.02276422
## 1  avg_spike_count 0.02240234
## 24      PC37_score 0.02220697
## 54      PC98_score 0.02104905
## 45      PC72_score 0.02030656
## 50       PC8_score 0.02024110
## 32       PC5_score 0.02003877
## 5      PC102_score 0.01987099
## 20      PC33_score 0.01947470
## 18       PC3_score 0.01937249
## 47      PC76_score 0.01879390
## 13      PC14_score 0.01844106
## 40      PC65_score 0.01801389
## 49      PC78_score 0.01767656
## 10     PC111_score 0.01720010
## 12     PC113_score 0.01709965
## 29      PC44_score 0.01695645
## 51      PC85_score 0.01666671
## 4      PC101_score 0.01665165
## 31      PC49_score 0.01626667
## 38      PC61_score 0.01623190
## 21      PC34_score 0.01613220
## 25      PC38_score 0.01592684
## 33      PC50_score 0.01588822
## 16      PC23_score 0.01560787
## 22      PC35_score 0.01541263
## 7      PC106_score 0.01535851
## 28      PC41_score 0.01524422
## 36      PC58_score 0.01521531
## 41      PC66_score 0.01521523
## 53      PC96_score 0.01407722
## 6      PC104_score 0.01405799
## 17      PC28_score 0.01371935
## 30      PC48_score 0.01371731
## 3      PC100_score 0.01371166
## 19      PC30_score 0.01339300
## 46      PC73_score 0.01312263
## 39      PC64_score 0.01263984
## 48      PC77_score 0.01243620
## 23      PC36_score 0.01240241
## 44      PC70_score 0.01212705
## 34      PC55_score 0.01132033
## 35      PC57_score 0.01056408
## 37      PC59_score 0.01043521
# Comprehensive Model Comparison Function
create_model_comparison_table <- function() {
  # Initialize empty comparison dataframe
  comparison <- data.frame(
    Model = character(),
    Accuracy = numeric(),
    Balanced_Accuracy = numeric(),
    Precision = numeric(),
    Recall = numeric(),
    Specificity = numeric(),
    F1_Score = numeric(),
    AUC = numeric(),
    OptimalThreshold = numeric()
  )
  
  # Add Logistic Regression results if available
  if (exists("results")) {
    # Calculate average metrics across all folds
    avg_accuracy <- mean(sapply(results, function(x) x$accuracy), na.rm = TRUE)
    avg_precision <- mean(sapply(results, function(x) x$precision), na.rm = TRUE)
    avg_recall <- mean(sapply(results, function(x) x$recall), na.rm = TRUE)
    avg_f1 <- mean(sapply(results, function(x) x$f1_score), na.rm = TRUE)
    avg_auc <- mean(sapply(results, function(x) x$auc), na.rm = TRUE)
    
    # Calculate specificity and balanced accuracy
    specificity_vals <- sapply(results, function(x) {
      conf <- x$conf_matrix
      TN <- conf["-1", "-1"]
      FP <- conf["1", "-1"]
      if (TN + FP > 0) return(TN / (TN + FP)) else return(NA)
    })
    avg_specificity <- mean(specificity_vals, na.rm = TRUE)
    avg_balanced_acc <- (avg_recall + avg_specificity) / 2
    
    # Get optimal threshold if available
    optimal_threshold <- NA
    if (exists("threshold_evaluation") && 
        "average_results" %in% names(threshold_evaluation)) {
      balanced_idx <- which.max(threshold_evaluation$average_results$Avg_Balanced_Accuracy)
      if (length(balanced_idx) > 0) {
        optimal_threshold <- threshold_evaluation$average_results$Threshold[balanced_idx]
      }
    }
    
    # Add to comparison dataframe
    comparison <- rbind(comparison, data.frame(
      Model = "Logistic Regression",
      Accuracy = avg_accuracy,
      Balanced_Accuracy = avg_balanced_acc,
      Precision = avg_precision,
      Recall = avg_recall,
      Specificity = avg_specificity,
      F1_Score = avg_f1,
      AUC = avg_auc,
      OptimalThreshold = optimal_threshold
    ))
  }
  
  # Add LDA results if available
  if (exists("lda_weighted_results")) {
    avg_accuracy <- mean(sapply(lda_weighted_results, function(x) x$accuracy), na.rm = TRUE)
    avg_balanced_acc <- mean(sapply(lda_weighted_results, function(x) x$balanced_accuracy), na.rm = TRUE)
    avg_precision <- mean(sapply(lda_weighted_results, function(x) x$precision), na.rm = TRUE)
    avg_recall <- mean(sapply(lda_weighted_results, function(x) x$recall), na.rm = TRUE)
    avg_specificity <- mean(sapply(lda_weighted_results, function(x) x$specificity), na.rm = TRUE)
    avg_f1 <- mean(sapply(lda_weighted_results, function(x) x$f1_score), na.rm = TRUE)
    avg_auc <- mean(sapply(lda_weighted_results, function(x) x$auc), na.rm = TRUE)
    
    comparison <- rbind(comparison, data.frame(
      Model = "LDA (weighted)",
      Accuracy = avg_accuracy,
      Balanced_Accuracy = avg_balanced_acc,
      Precision = avg_precision,
      Recall = avg_recall,
      Specificity = avg_specificity,
      F1_Score = avg_f1,
      AUC = avg_auc,
      OptimalThreshold = NA  # LDA doesn't typically use thresholds
    ))
  }
  
  # Add XGBoost results if available
  if (exists("xgb_results")) {
    successful_folds <- which(sapply(xgb_results, function(x) isTRUE(x$success)))
    
    if (length(successful_folds) > 0) {
      avg_accuracy <- mean(sapply(xgb_results[successful_folds], function(x) x$accuracy), na.rm = TRUE)
      avg_precision <- mean(sapply(xgb_results[successful_folds], function(x) x$precision), na.rm = TRUE)
      avg_recall <- mean(sapply(xgb_results[successful_folds], function(x) x$recall), na.rm = TRUE)
      avg_f1 <- mean(sapply(xgb_results[successful_folds], function(x) x$f1_score), na.rm = TRUE)
      avg_auc <- mean(sapply(xgb_results[successful_folds], function(x) x$auc), na.rm = TRUE)
      
      # Calculate specificity
      specificity_vals <- sapply(xgb_results[successful_folds], function(x) {
        conf <- x$conf_matrix
        TN <- conf["-1", "-1"]
        FP <- conf["1", "-1"]
        if (TN + FP > 0) return(TN / (TN + FP)) else return(NA)
      })
      avg_specificity <- mean(specificity_vals, na.rm = TRUE)
      avg_balanced_acc <- (avg_recall + avg_specificity) / 2
      
      comparison <- rbind(comparison, data.frame(
        Model = "XGBoost (weighted)",
        Accuracy = avg_accuracy,
        Balanced_Accuracy = avg_balanced_acc,
        Precision = avg_precision,
        Recall = avg_recall,
        Specificity = avg_specificity,
        F1_Score = avg_f1,
        AUC = avg_auc,
        OptimalThreshold = 0.5  # Default for XGBoost
      ))
    }
  }
  
  # Add kNN results if available
  if (exists("weighted_knn_results")) {
    successful_folds <- which(sapply(weighted_knn_results, function(x) isTRUE(x$success)))
    
    if (length(successful_folds) > 0) {
      avg_accuracy <- mean(sapply(weighted_knn_results[successful_folds], function(x) x$accuracy), na.rm = TRUE)
      avg_balanced_acc <- mean(sapply(weighted_knn_results[successful_folds], function(x) x$balanced_accuracy), na.rm = TRUE)
      avg_precision <- mean(sapply(weighted_knn_results[successful_folds], function(x) x$precision), na.rm = TRUE)
      avg_recall <- mean(sapply(weighted_knn_results[successful_folds], function(x) x$recall), na.rm = TRUE)
      avg_specificity <- mean(sapply(weighted_knn_results[successful_folds], function(x) x$specificity), na.rm = TRUE)
      avg_f1 <- mean(sapply(weighted_knn_results[successful_folds], function(x) x$f1_score), na.rm = TRUE)
      avg_auc <- mean(sapply(weighted_knn_results[successful_folds], function(x) x$auc), na.rm = TRUE)
      
      comparison <- rbind(comparison, data.frame(
        Model = "kNN (k=3, weighted)",
        Accuracy = avg_accuracy,
        Balanced_Accuracy = avg_balanced_acc,
        Precision = avg_precision,
        Recall = avg_recall,
        Specificity = avg_specificity,
        F1_Score = avg_f1,
        AUC = avg_auc,
        OptimalThreshold = NA  # kNN doesn't typically use thresholds
      ))
    }
  }
  
  # Create formatted version with percentages and rounded values
  formatted_comparison <- comparison
  formatted_comparison$Accuracy <- sprintf("%.2f%%", formatted_comparison$Accuracy * 100)
  formatted_comparison$Balanced_Accuracy <- sprintf("%.2f%%", formatted_comparison$Balanced_Accuracy * 100)
  formatted_comparison$Precision <- sprintf("%.3f", formatted_comparison$Precision)
  formatted_comparison$Recall <- sprintf("%.3f", formatted_comparison$Recall)
  formatted_comparison$Specificity <- sprintf("%.3f", formatted_comparison$Specificity)
  formatted_comparison$F1_Score <- sprintf("%.3f", formatted_comparison$F1_Score)
  formatted_comparison$AUC <- sprintf("%.3f", formatted_comparison$AUC)
  formatted_comparison$OptimalThreshold <- ifelse(is.na(formatted_comparison$OptimalThreshold), 
                                                 "N/A", 
                                                 sprintf("%.2f", formatted_comparison$OptimalThreshold))
  
  # Sort models by balanced accuracy (numeric version for correct sorting)
  sorted_order <- order(comparison$Balanced_Accuracy, decreasing = TRUE)
  formatted_comparison <- formatted_comparison[sorted_order, ]
  
  # Return both formatted and numeric versions
  return(list(formatted = formatted_comparison, numeric = comparison))
}

# Use the function to create the comparison table
result <- create_model_comparison_table()
model_comparison_table <- result$formatted
numeric_comparison <- result$numeric  # Store numeric version for later use

# Display the table
print("================================================================")
## [1] "================================================================"
print("                MODEL PERFORMANCE COMPARISON                    ")
## [1] "                MODEL PERFORMANCE COMPARISON                    "
print("================================================================")
## [1] "================================================================"
print(model_comparison_table)
##                 Model Accuracy Balanced_Accuracy Precision Recall Specificity
## 3  XGBoost (weighted)   70.98%            71.94%     0.874  0.698       0.741
## 4 kNN (k=3, weighted)   60.81%            64.16%     0.836  0.565       0.718
## 1 Logistic Regression   62.11%            62.64%     0.812  0.614       0.638
## 2      LDA (weighted)   39.70%            56.35%     0.896  0.180       0.947
##   F1_Score   AUC OptimalThreshold
## 3    0.775 0.834             0.50
## 4    0.674 0.720              N/A
## 1    0.699 0.679              N/A
## 2    0.300 0.687              N/A
print("================================================================")
## [1] "================================================================"
# Also identify best model for each metric
metrics <- c("Accuracy", "Balanced_Accuracy", "Precision", "Recall", "Specificity", "F1_Score", "AUC")

cat("\nBest model for each metric:\n")
## 
## Best model for each metric:
for (metric in metrics) {
  best_idx <- which.max(numeric_comparison[[metric]])
  if (length(best_idx) > 0) {
    best_model <- numeric_comparison$Model[best_idx]
    best_value <- numeric_comparison[[metric]][best_idx]
    
    # Format for display
    if (metric %in% c("Accuracy", "Balanced_Accuracy")) {
      best_value <- sprintf("%.2f%%", best_value * 100)
    } else {
      best_value <- sprintf("%.3f", best_value)
    }
    
    cat(sprintf("%-20s: %s (%s)\n", metric, best_model, best_value))
  }
}
## Accuracy            : XGBoost (weighted) (70.98%)
## Balanced_Accuracy   : XGBoost (weighted) (71.94%)
## Precision           : LDA (weighted) (0.896)
## Recall              : XGBoost (weighted) (0.698)
## Specificity         : LDA (weighted) (0.947)
## F1_Score            : XGBoost (weighted) (0.775)
## AUC                 : XGBoost (weighted) (0.834)

We also tried a lasso model, but found that there was no successful lasso model to fit to our data.

The results of the different prediction models suggests that a weighted XGBoost model is the best model that we should progress with. The XGBoost model has the highest accuracy, precision, and AUC.

The XGBoost model above is our final prediction model. Now, I will evaluate its prediction performance on the test data provided.

Part 3: Testing on New Data

First I will access the new data and import it.

library(kableExtra)
## 
## Attaching package: 'kableExtra'
## The following object is masked from 'package:dplyr':
## 
##     group_rows
setwd("/Users/davisavantika")


test_session=list() # creating a list stucture w/ 18 elements
for(i in 1:2){
  test_session[[i]] = readRDS(paste("~/Code/STA141AProject/Test/test",i,'.rds',sep='')) # save each session into corresponding catagory
   #print(session[[i]]$mouse_name)
   #print(session[[i]]$date_exp)
}


n.session=length(test_session) # 18

meta <- tibble(
  mouse_name = rep('name', n.session),
  date_exp = rep('dt', n.session),
  number_brain_areas = rep(0,n.session),
  number_neurons = rep(0,n.session),
  number_trials = rep(0,n.session),
  success_rate = rep(0,n.session)
)

for(i in 1:n.session){
  tmp = test_session[[i]];
  meta[i,1]=tmp$mouse_name;
  meta[i,2]=tmp$date_exp;
  meta[i,3]=length(unique(tmp$brain_area)); # find number of unique values --> unique brain areas
  meta[i,4]=dim(tmp$spks[[1]])[1];
  meta[i,5]=length(tmp$feedback_type);
  meta[i,6]=mean(tmp$feedback_type+1)/2; # success rate

  # ADD MORE VARIABLES HERE

}

meta.df <- as.data.frame(meta)

colnames(meta.df) <- c('Mouse Name', 'Experiment Date', "Number of Brain Areas", "Number of Neurons", "Number of Trials", "Success Rate")

kable(meta.df, format = "html", table.attr = "class='table table-striped'", digits=2, align = 'c') %>%
 kableExtra::kable_styling(position = "center")
Mouse Name Experiment Date Number of Brain Areas Number of Neurons Number of Trials Success Rate
Cori 2016-12-14 8 734 100 0.72
Lederberg 2017-12-11 10 1090 100 0.73
# First, make sure the average_spike_area function is correctly defined
# This version works with your calling pattern
average_spike_area <- function(i.t, this_session) {
  spk.trial <- this_session$spks[[i.t]]
  area <- this_session$brain_area
  spk.count <- apply(spk.trial, 1, sum)
  spk.average <- tapply(spk.count, area, mean)
  return(spk.average)
}

# Process Cori test data
i.s = 1
name = 'cori'
n.trial = length(test_session[[i.s]]$feedback_type)
n.area = length(unique(test_session[[i.s]]$brain_area))
trial.summary = matrix(nrow = n.trial, ncol = n.area + 1 + 2 + 1)
  
for(i.t in 1:n.trial) {
  trial.summary[i.t,] = c(
    average_spike_area(i.t, this_session = test_session[[i.s]]),
    test_session[[i.s]]$feedback_type[i.t],
    test_session[[i.s]]$contrast_left[i.t],
    test_session[[i.s]]$contrast_right[i.t],
    i.t
  )
}
  
colnames(trial.summary) = c(
  names(average_spike_area(1, this_session = test_session[[i.s]])), 
  'feedback', 'leftcontrast', 'rightcontrast', 'trial'
)
  
dynamic.trial.summary <- as.data.frame(tibble::as_tibble(na.omit(trial.summary)))
      
cori_test <- dynamic.trial.summary %>% 
  pivot_longer(
    !c("feedback", 'leftcontrast', 'rightcontrast', 'trial'), 
    names_to = "brain_area", 
    values_to = "avg_spike_count"
  )

cori_test$test_session <- i.s
cori_test$mousename <- name

# Process Lederberg test data
i.s = 2
name = 'lederberg'
n.trial = length(test_session[[i.s]]$feedback_type)
n.area = length(unique(test_session[[i.s]]$brain_area))
trial.summary = matrix(nrow = n.trial, ncol = n.area + 1 + 2 + 1)
  
for(i.t in 1:n.trial) {
  trial.summary[i.t,] = c(
    average_spike_area(i.t, this_session = test_session[[i.s]]),
    test_session[[i.s]]$feedback_type[i.t],
    test_session[[i.s]]$contrast_left[i.t],
    test_session[[i.s]]$contrast_right[i.t],
    i.t
  )
}
  
colnames(trial.summary) = c(
  names(average_spike_area(1, this_session = test_session[[i.s]])), 
  'feedback', 'leftcontrast', 'rightcontrast', 'trial'
)
  
dynamic.trial.summary <- as.data.frame(tibble::as_tibble(na.omit(trial.summary)))
      
lederberg_test <- dynamic.trial.summary %>% 
  pivot_longer(
    !c("feedback", 'leftcontrast', 'rightcontrast', 'trial'), 
    names_to = "brain_area", 
    values_to = "avg_spike_count"
  )

lederberg_test$test_session <- i.s
lederberg_test$mousename <- name

# Combine the two test datasets
results_df_testing <- bind_rows(cori_test, lederberg_test)

# Add contrast interaction term for model prediction
results_df_testing$contrast_interaction <- paste(
  results_df_testing$leftcontrast,
  results_df_testing$rightcontrast,
  sep = "_"
)

# Also create numeric contrastdiff if your model uses it
results_df_testing$contrastdiff <- 
  as.numeric(as.character(results_df_testing$rightcontrast)) - 
  as.numeric(as.character(results_df_testing$leftcontrast))

# Display summary of the processed test data
cat("Test data dimensions:", dim(results_df_testing), "\n")
## Test data dimensions: 1800 10
cat("Number of trials for Cori:", length(unique(cori_test$trial)), "\n")
## Number of trials for Cori: 100
cat("Number of trials for Lederberg:", length(unique(lederberg_test$trial)), "\n")
## Number of trials for Lederberg: 100
cat("Unique contrast interaction values:\n")
## Unique contrast interaction values:
print(table(results_df_testing$contrast_interaction))
## 
##       0_0    0_0.25     0_0.5       0_1    0.25_0 0.25_0.25  0.25_0.5    0.25_1 
##       486        44       132       146        56        26        46       194 
##     0.5_0  0.5_0.25   0.5_0.5     0.5_1       1_0    1_0.25     1_0.5       1_1 
##       160        74        34        36       172       104        72        18
# Return the results dataframe
head(results_df_testing)
## # A tibble: 6 × 10
##   feedback leftcontrast rightcontrast trial brain_area avg_spike_count
##      <dbl>        <dbl>         <dbl> <dbl> <chr>                <dbl>
## 1       -1         0.25          0.25     1 ACA                  0.899
## 2       -1         0.25          0.25     1 CA3                  2.22 
## 3       -1         0.25          0.25     1 DG                   1.79 
## 4       -1         0.25          0.25     1 LS                   1.27 
## 5       -1         0.25          0.25     1 MOs                  0.894
## 6       -1         0.25          0.25     1 root                 0.333
## # ℹ 4 more variables: test_session <dbl>, mousename <chr>,
## #   contrast_interaction <chr>, contrastdiff <dbl>

We need to bootstrap so that we have have at least 114 PCs in the training set to work with. We are assuming that the PCs from this test dataset will align with that of the prediction model since the test dataset comes from the same mice (Cori and Lederberg)

# Function to bootstrap raw spike data to reach target number of trials
bootstrap_test_session <- function(session_data, session_id, target_trials = 114) {
  # Get original number of trials
  original_trials <- length(session_data$spks)
  cat("Session", session_id, ":", original_trials, "original trials\n")
  
  # Check if bootstrapping is needed
  if (original_trials >= target_trials) {
    cat("No bootstrapping needed for session", session_id, "\n")
    return(session_data)
  }
  
  # Calculate how many bootstrap samples are needed
  n_bootstrap <- target_trials - original_trials
  cat("Adding", n_bootstrap, "bootstrapped trials for session", session_id, "\n")
  
  # Set seed for reproducibility
  set.seed(42 + session_id)
  
  # Generate bootstrap indices
  bootstrap_indices <- sample(1:original_trials, n_bootstrap, replace = TRUE)
  
  # Create bootstrapped session by copying the original and extending the lists
  bootstrapped_session <- session_data
  
  # Extend spks list with bootstrapped trials
  bootstrapped_session$spks <- c(
    bootstrapped_session$spks, 
    bootstrapped_session$spks[bootstrap_indices]
  )
  
  # Extend other trial-specific variables
  bootstrapped_session$feedback_type <- c(
    bootstrapped_session$feedback_type,
    bootstrapped_session$feedback_type[bootstrap_indices]
  )
  
  bootstrapped_session$contrast_left <- c(
    bootstrapped_session$contrast_left,
    bootstrapped_session$contrast_left[bootstrap_indices]
  )
  
  bootstrapped_session$contrast_right <- c(
    bootstrapped_session$contrast_right,
    bootstrapped_session$contrast_right[bootstrap_indices]
  )
  
  # If there are any other trial-specific variables, extend them too
  if (!is.null(bootstrapped_session$time)) {
    # time is often trial-specific in some datasets
    if (is.list(bootstrapped_session$time) && length(bootstrapped_session$time) == original_trials) {
      bootstrapped_session$time <- c(
        bootstrapped_session$time,
        bootstrapped_session$time[bootstrap_indices]
      )
    }
  }
  
  # Add a flag to track which trials are bootstrapped
  bootstrapped_session$is_bootstrapped <- c(
    rep(FALSE, original_trials),
    rep(TRUE, n_bootstrap)
  )
  
  # Verify the new count
  cat("Session", session_id, "now has", length(bootstrapped_session$spks), "trials (including bootstrapped)\n")
  
  return(bootstrapped_session)
}

# Bootstrap both test sessions
bootstrapped_test_sessions <- list()
for (i in 1:length(test_session)) {
  bootstrapped_test_sessions[[i]] <- bootstrap_test_session(test_session[[i]], i, target_trials = 114)
}
## Session 1 : 100 original trials
## Adding 14 bootstrapped trials for session 1 
## Session 1 now has 114 trials (including bootstrapped)
## Session 2 : 100 original trials
## Adding 14 bootstrapped trials for session 2 
## Session 2 now has 114 trials (including bootstrapped)
# Verify the bootstrapping was successful
for (i in 1:length(bootstrapped_test_sessions)) {
  cat("\nSession", i, "summary:\n")
  cat("Mouse name:", bootstrapped_test_sessions[[i]]$mouse_name, "\n")
  cat("Total trials:", length(bootstrapped_test_sessions[[i]]$spks), "\n")
  cat("Original trials:", sum(!bootstrapped_test_sessions[[i]]$is_bootstrapped), "\n")
  cat("Bootstrapped trials:", sum(bootstrapped_test_sessions[[i]]$is_bootstrapped), "\n")
}
## 
## Session 1 summary:
## Mouse name: Cori 
## Total trials: 114 
## Original trials: 100 
## Bootstrapped trials: 14 
## 
## Session 2 summary:
## Mouse name: Lederberg 
## Total trials: 114 
## Original trials: 100 
## Bootstrapped trials: 14
# Now that we have bootstrapped the raw data, we can use it for further processing
# For example, to create the results_df_testing dataframe with avg_spike_count

# First, make sure the average_spike_area function is correctly defined
average_spike_area <- function(i.t, this_session) {
  spk.trial <- this_session$spks[[i.t]]
  area <- this_session$brain_area
  spk.count <- apply(spk.trial, 1, sum)
  spk.average <- tapply(spk.count, area, mean)
  return(spk.average)
}

# Function to process a session into the desired dataframe format
process_session <- function(session_obj, session_id) {
  n.trial <- length(session_obj$spks)
  n.area <- length(unique(session_obj$brain_area))
  
  # Create matrix for trial data
  trial.summary <- matrix(nrow = n.trial, ncol = n.area + 1 + 2 + 1 + 1)  # +1 for is_bootstrapped
  
  # Process each trial
  for (i.t in 1:n.trial) {
    # Get average spike counts by area for this trial
    trial.summary[i.t,] <- c(
      average_spike_area(i.t, this_session = session_obj),
      session_obj$feedback_type[i.t],
      session_obj$contrast_left[i.t],
      session_obj$contrast_right[i.t],
      i.t,  # trial number
      session_obj$is_bootstrapped[i.t]  # bootstrap flag
    )
  }
  
  # Set column names
  colnames(trial.summary) <- c(
    names(average_spike_area(1, this_session = session_obj)),
    'feedback', 'leftcontrast', 'rightcontrast', 'trial', 'bootstrapped'
  )
  
  # Convert to dataframe and handle NA rows
  dynamic.trial.summary <- as.data.frame(na.omit(trial.summary))
  
  # Convert to long format (one row per brain area per trial)
  session_data <- dynamic.trial.summary %>%
    pivot_longer(
      !c("feedback", 'leftcontrast', 'rightcontrast', 'trial', 'bootstrapped'),
      names_to = "brain_area",
      values_to = "avg_spike_count"
    )
  
  # Add session and mouse information
  session_data$test_session <- session_id
  session_data$mousename <- session_obj$mouse_name
  
  return(session_data)
}

# Process both bootstrapped test sessions
session_data_list <- list()
for (i in 1:length(bootstrapped_test_sessions)) {
  session_data_list[[i]] <- process_session(bootstrapped_test_sessions[[i]], i)
}

# Combine all sessions
results_df_testing <- bind_rows(session_data_list)

# Add contrast interaction term
results_df_testing$contrast_interaction <- paste(
  results_df_testing$leftcontrast,
  results_df_testing$rightcontrast,
  sep = "_"
)

# Also create numeric contrastdiff if your model uses it
results_df_testing$contrastdiff <- 
  as.numeric(as.character(results_df_testing$rightcontrast)) - 
  as.numeric(as.character(results_df_testing$leftcontrast))

# Convert bootstrapped to logical
results_df_testing$bootstrapped <- as.logical(results_df_testing$bootstrapped)

# Display summary of the processed test data
cat("\nTest data summary:\n")
## 
## Test data summary:
cat("Total rows in results dataframe:", nrow(results_df_testing), "\n")
## Total rows in results dataframe: 2052
cat("Number of unique trials:", length(unique(paste(results_df_testing$test_session, results_df_testing$trial))), "\n")
## Number of unique trials: 228
# Show summary by session
session_summary <- results_df_testing %>%
  group_by(test_session, mousename) %>%
  summarize(
    total_trials = length(unique(trial)),
    original_trials = sum(!bootstrapped[!duplicated(trial)]),
    bootstrap_trials = sum(bootstrapped[!duplicated(trial)]),
    unique_brain_areas = length(unique(brain_area))
  )
## `summarise()` has grouped output by 'test_session'. You can override using the
## `.groups` argument.
print(session_summary)
## # A tibble: 2 × 6
## # Groups:   test_session [2]
##   test_session mousename total_trials original_trials bootstrap_trials
##          <int> <chr>            <int>           <int>            <int>
## 1            1 Cori               114             100               14
## 2            2 Lederberg          114             100               14
## # ℹ 1 more variable: unique_brain_areas <int>
# Now you can proceed with PCA on this bootstrapped data

After bootstrapping, we did PCA on the new dataset.

analyze_session_pca <- function(session_data, session_id) {
  # First check if spks has elements
  if (length(session_data$spks) == 0) {
    cat("Session", session_id, ": The spks list is empty\n")
    return(list(success = FALSE, message = "The spks list is empty"))
  } 
  
  # Check if any elements have length > 0
  element_lengths <- sapply(session_data$spks, length)
  
  if (all(element_lengths == 0)) {
    cat("Session", session_id, ": All elements in spks are empty\n")
    return(list(success = FALSE, message = "All elements in spks are empty"))
  } 
  
  cat("Session", session_id, ": Found non-empty elements in spks. Continuing with matrix creation...\n")
  
  # Proceed with the original code
  n_trials <- length(session_data$spks)
  max_length <- max(element_lengths)
  
  cat("  Number of trials:", n_trials, "\n")
  cat("  Max length of spike vectors:", max_length, "\n")
  
  spike_matrix <- matrix(0, nrow = n_trials, ncol = max_length)
  
  # Fill the matrix with spike data - more robustly
  for (i in 1:n_trials) {
    if (length(session_data$spks[[i]]) > 0) {
      spk_data <- session_data$spks[[i]]
      spike_matrix[i, 1:length(spk_data)] <- spk_data
    }
  }
  
  # Check if the matrix has any non-zero values
  if (all(spike_matrix == 0)) {
    cat("  Warning: Spike matrix contains only zeros\n")
    return(list(success = FALSE, message = "Spike matrix contains only zeros"))
  }
  
  # Check column variances
  col_vars <- apply(spike_matrix, 2, var)
  non_zero_vars <- sum(col_vars > 0)
  
  cat("  Columns with non-zero variance:", non_zero_vars, "out of", ncol(spike_matrix), "\n")
  
  if (non_zero_vars >= 2) {
    # Keep only columns with variance
    spike_matrix_filtered <- spike_matrix[, col_vars > 0, drop = FALSE]
    cat("  Running PCA on filtered matrix with dimensions:", dim(spike_matrix_filtered), "\n")
    
    # Run PCA
    tryCatch({
      pca_result <- prcomp(spike_matrix_filtered, scale = TRUE)
      
      # Calculate variance explained
      var_explained <- pca_result$sdev^2 / sum(pca_result$sdev^2)
      cumulative_var <- cumsum(var_explained)
      
      # Number of PCs for different thresholds
      pcs_90 <- min(which(cumulative_var >= 0.9))
      if (is.infinite(pcs_90)) pcs_90 <- length(var_explained)
      
      pcs_95 <- min(which(cumulative_var >= 0.95))
      if (is.infinite(pcs_95)) pcs_95 <- length(var_explained)
      
      pcs_99 <- min(which(cumulative_var >= 0.99))
      if (is.infinite(pcs_99)) pcs_99 <- length(var_explained)
      
      pcs_100 <- length(var_explained)
      
      cat("  PCs for 90% variance:", pcs_90, "\n")
      cat("  PCs for 95% variance:", pcs_95, "\n")
      cat("  PCs for 99% variance:", pcs_99, "\n")
      cat("  PCs for 100% variance:", pcs_100, "\n")
      
      return(list(
        success = TRUE,
        session_id = session_id,
        n_trials = n_trials,
        n_features = non_zero_vars,
        pcs_90 = pcs_90,
        pcs_95 = pcs_95,
        pcs_99 = pcs_99,
        pcs_100 = pcs_100,
        var_explained = var_explained
      ))
    }, error = function(e) {
      cat("  Error in PCA:", e$message, "\n")
      return(list(success = FALSE, message = paste("Error in PCA:", e$message)))
    })
  } else {
    cat("  Not enough columns with variance for PCA\n")
    return(list(success = FALSE, message = "Not enough columns with variance for PCA"))
  }
}


results <- list()
for (i in 1:2) {
  cat("\nAnalyzing session", i, "\n")
  
  # Check if session exists
  if (exists(paste0("test", i)) || exists("test_session") && length(session) >= i) {
    # Get the correct session data
    if (exists(paste0("test", i))) {
      session_data <- get(paste0("session", i))
    } else {
      session_data <- test_session[[i]]
    }
    
    # Analyze the session
    result <- analyze_session_pca(session_data, i)
    results[[as.character(i)]] <- result
  } else {
    cat("Session", i, "data not found\n")
    results[[as.character(i)]] <- list(success = FALSE, message = "Session data not found")
  }
}
## 
## Analyzing session 1 
## Session 1 : Found non-empty elements in spks. Continuing with matrix creation...
##   Number of trials: 100 
##   Max length of spike vectors: 29360 
##   Columns with non-zero variance: 19303 out of 29360 
##   Running PCA on filtered matrix with dimensions: 100 19303 
##   PCs for 90% variance: 86 
##   PCs for 95% variance: 92 
##   PCs for 99% variance: 98 
##   PCs for 100% variance: 100 
## 
## Analyzing session 2 
## Session 2 : Found non-empty elements in spks. Continuing with matrix creation...
##   Number of trials: 100 
##   Max length of spike vectors: 43600 
##   Columns with non-zero variance: 23445 out of 43600 
##   Running PCA on filtered matrix with dimensions: 100 23445 
##   PCs for 90% variance: 85 
##   PCs for 95% variance: 92 
##   PCs for 99% variance: 98 
##   PCs for 100% variance: 100
# Create summary table
test_summary_table <- data.frame(
  Session = integer(),
  NumTrials = integer(),
  NumFeatures = integer(),
  PCs_90_percent = integer(),
  PCs_95_percent = integer(),
  PCs_99_percent = integer(),
  PCs_100_percent = integer()
)

for (session_id in names(results)) {
  result <- results[[session_id]]
  if (result$success) {
    test_summary_table <- rbind(test_summary_table, data.frame(
      Session = as.integer(session_id),
      NumTrials = result$n_trials,
      NumFeatures = result$n_features,
      PCs_90_percent = result$pcs_90,
      PCs_95_percent = result$pcs_95,
      PCs_99_percent = result$pcs_99,
      PCs_100_percent = result$pcs_100
    ))
  } else {
    # Add a row with NA values for failed sessions
    test_summary_table <- rbind(test_summary_table, data.frame(
      Session = as.integer(session_id),
      NumTrials = NA,
      NumFeatures = NA,
      PCs_90_percent = NA,
      PCs_95_percent = NA,
      PCs_99_percent = NA,
      PCs_100_percent = NA
    ))
  }
}

# Sort by session and print
test_summary_table <- test_summary_table[order(summary_table$Session), ]

# Calculate percentage of features needed
test_summary_table$Percent_PCs_90 <- (test_summary_table$PCs_90_percent / test_summary_table$NumFeatures) * 100
test_summary_table$Percent_PCs_95 <- (test_summary_table$PCs_95_percent / test_summary_table$NumFeatures) * 100
test_summary_table$Percent_PCs_99 <- (test_summary_table$PCs_99_percent / test_summary_table$NumFeatures) * 100
test_summary_table$Percent_PCs_100 <- (test_summary_table$PCs_100_percent / test_summary_table$NumFeatures) * 100


kable(test_summary_table, format = "html", table.attr = "class='table table-striped'", digits=2, align = 'c') %>%
 kableExtra::kable_styling(position = "center")
Session NumTrials NumFeatures PCs_90_percent PCs_95_percent PCs_99_percent PCs_100_percent Percent_PCs_90 Percent_PCs_95 Percent_PCs_99 Percent_PCs_100
1 1 100 19303 86 92 98 100 0.45 0.48 0.51 0.52
2 2 100 23445 85 92 98 100 0.36 0.39 0.42 0.43
NA NA NA NA NA NA NA NA NA NA NA NA
NA.1 NA NA NA NA NA NA NA NA NA NA NA
NA.2 NA NA NA NA NA NA NA NA NA NA NA
NA.3 NA NA NA NA NA NA NA NA NA NA NA
NA.4 NA NA NA NA NA NA NA NA NA NA NA
NA.5 NA NA NA NA NA NA NA NA NA NA NA
NA.6 NA NA NA NA NA NA NA NA NA NA NA
NA.7 NA NA NA NA NA NA NA NA NA NA NA
NA.8 NA NA NA NA NA NA NA NA NA NA NA
NA.9 NA NA NA NA NA NA NA NA NA NA NA
NA.10 NA NA NA NA NA NA NA NA NA NA NA
NA.11 NA NA NA NA NA NA NA NA NA NA NA
NA.12 NA NA NA NA NA NA NA NA NA NA NA
NA.13 NA NA NA NA NA NA NA NA NA NA NA
NA.14 NA NA NA NA NA NA NA NA NA NA NA
NA.15 NA NA NA NA NA NA NA NA NA NA NA
# Make sure the average_spike_area function is defined
# This is the function you used earlier to calculate average spike counts by brain area
average_spike_area <- function(trial, this_session) {
  spk.trial <- this_session$spks[[trial]]
  area <- this_session$brain_area
  spk.count <- apply(spk.trial, 1, sum)
  spk.average <- tapply(spk.count, area, mean)
  return(spk.average)
}

# Process test data sessions into a single dataframe
process_test_data <- function(test_sessions) {
  # Create an empty list to store results for each session
  all_session_data <- list()
  
  # Process each test session
  for (i in 1:length(test_sessions)) {
    this_session <- test_sessions[[i]]
    name <- this_session$mouse_name
    
    # Get the number of trials and brain areas
    n.trial <- length(this_session$feedback_type)
    n.area <- length(unique(this_session$brain_area))
    
    # Create a matrix to store trial data
    trial.summary <- matrix(nrow = n.trial, ncol = n.area + 1 + 2 + 1)
    
    # Process each trial
    for (i.t in 1:n.trial) {
      trial.summary[i.t,] <- c(
        average_spike_area(i.t, this_session = this_session),
        this_session$feedback_type[i.t],
        this_session$contrast_left[i.t],
        this_session$contrast_right[i.t],
        i.t
      )
    }
    
    # Set column names
    colnames(trial.summary) <- c(
      names(average_spike_area(1, this_session = this_session)),
      'feedback', 'leftcontrast', 'rightcontrast', 'trial'
    )
    
    # Convert to dataframe and remove NA rows
    dynamic.trial.summary <- as.data.frame(as_tibble(na.omit(trial.summary)))
    
    # Pivot to long format (one row per brain area per trial)
    session_data <- dynamic.trial.summary %>% 
      pivot_longer(
        !c("feedback", 'leftcontrast', 'rightcontrast', 'trial'), 
        names_to = "brain_area", 
        values_to = "avg_spike_count"
      )
    
    # Add session and mouse information
    session_data$test_session <- i
    session_data$mousename <- name
    
    # Store in the list
    all_session_data[[i]] <- session_data
  }
  
  # Combine all sessions into a single dataframe
  results_df_testing <- bind_rows(all_session_data)
  
  # Add contrast_interaction term
  results_df_testing$contrast_interaction <- paste(
    results_df_testing$leftcontrast,
    results_df_testing$rightcontrast,
    sep = "_"
  )
  
  # Add contrastdiff column (if needed by your model)
  results_df_testing$contrastdiff <- 
    as.numeric(results_df_testing$rightcontrast) - 
    as.numeric(results_df_testing$leftcontrast)
  
  return(results_df_testing)
}

# Process the test sessions
results_df_testing <- process_test_data(test_session)

# Display the first few rows of the processed test data
head(results_df_testing)
## # A tibble: 6 × 10
##   feedback leftcontrast rightcontrast trial brain_area avg_spike_count
##      <dbl>        <dbl>         <dbl> <dbl> <chr>                <dbl>
## 1       -1         0.25          0.25     1 ACA                  0.899
## 2       -1         0.25          0.25     1 CA3                  2.22 
## 3       -1         0.25          0.25     1 DG                   1.79 
## 4       -1         0.25          0.25     1 LS                   1.27 
## 5       -1         0.25          0.25     1 MOs                  0.894
## 6       -1         0.25          0.25     1 root                 0.333
## # ℹ 4 more variables: test_session <int>, mousename <chr>,
## #   contrast_interaction <chr>, contrastdiff <dbl>
# Check dimensions and summary
cat("Test data dimensions:", dim(results_df_testing), "\n")
## Test data dimensions: 1800 10
cat("Test data summary:\n")
## Test data summary:
summary(results_df_testing)
##     feedback        leftcontrast    rightcontrast        trial       
##  Min.   :-1.0000   Min.   :0.0000   Min.   :0.0000   Min.   :  1.00  
##  1st Qu.:-1.0000   1st Qu.:0.0000   1st Qu.:0.0000   1st Qu.: 25.75  
##  Median : 1.0000   Median :0.2500   Median :0.2500   Median : 50.50  
##  Mean   : 0.4511   Mean   :0.3325   Mean   :0.3322   Mean   : 50.50  
##  3rd Qu.: 1.0000   3rd Qu.:0.5000   3rd Qu.:0.5000   3rd Qu.: 75.25  
##  Max.   : 1.0000   Max.   :1.0000   Max.   :1.0000   Max.   :100.00  
##   brain_area        avg_spike_count   test_session    mousename        
##  Length:1800        Min.   :0.1538   Min.   :1.000   Length:1800       
##  Class :character   1st Qu.:0.8462   1st Qu.:1.000   Class :character  
##  Mode  :character   Median :1.2125   Median :2.000   Mode  :character  
##                     Mean   :1.3151   Mean   :1.556                     
##                     3rd Qu.:1.6869   3rd Qu.:2.000                     
##                     Max.   :4.0000   Max.   :2.000                     
##  contrast_interaction  contrastdiff       
##  Length:1800          Min.   :-1.0000000  
##  Class :character     1st Qu.:-0.5000000  
##  Mode  :character     Median : 0.0000000  
##                       Mean   :-0.0002778  
##                       3rd Qu.: 0.5000000  
##                       Max.   : 1.0000000
# Check unique values of important variables
cat("\nUnique values of contrast_interaction:\n")
## 
## Unique values of contrast_interaction:
print(table(results_df_testing$contrast_interaction))
## 
##       0_0    0_0.25     0_0.5       0_1    0.25_0 0.25_0.25  0.25_0.5    0.25_1 
##       486        44       132       146        56        26        46       194 
##     0.5_0  0.5_0.25   0.5_0.5     0.5_1       1_0    1_0.25     1_0.5       1_1 
##       160        74        34        36       172       104        72        18
cat("\nUnique values of feedback:\n")
## 
## Unique values of feedback:
print(table(results_df_testing$feedback))
## 
##   -1    1 
##  494 1306
# Use this dataframe for your XGBoost predictions
# If you need PC scores, you'll need to calculate those using a similar approach
# to what you did with the training data
# Function to perform PCA on a single bootstrapped session
analyze_session_pca <- function(session_data, session_id) {
  # First check if spks has elements
  if (length(session_data$spks) == 0) {
    cat("Session", session_id, ": The spks list is empty\n")
    return(list(success = FALSE, message = "The spks list is empty"))
  } 
  
  # Check if any elements have length > 0
  element_lengths <- sapply(session_data$spks, length)
  
  if (all(element_lengths == 0)) {
    cat("Session", session_id, ": All elements in spks are empty\n")
    return(list(success = FALSE, message = "All elements in spks are empty"))
  } 
  
  cat("Session", session_id, ": Found non-empty elements in spks. Continuing with matrix creation...\n")
  
  # Get the number of trials and features
  n_trials <- length(session_data$spks)
  max_length <- max(element_lengths)
  
  cat("  Number of trials:", n_trials, "\n")
  cat("  Max length of spike vectors:", max_length, "\n")
  
  # Create spike matrix
  spike_matrix <- matrix(0, nrow = n_trials, ncol = max_length)
  
  # Fill the matrix with spike data
  for (i in 1:n_trials) {
    if (length(session_data$spks[[i]]) > 0) {
      spk_data <- session_data$spks[[i]]
      spike_matrix[i, 1:length(spk_data)] <- spk_data
    }
  }
  
  # Check for zero values
  if (all(spike_matrix == 0)) {
    cat("  Warning: Spike matrix contains only zeros\n")
    return(list(success = FALSE, message = "Spike matrix contains only zeros"))
  }
  
  # Check column variances
  col_vars <- apply(spike_matrix, 2, var)
  non_zero_vars <- sum(col_vars > 0)
  
  cat("  Columns with non-zero variance:", non_zero_vars, "out of", ncol(spike_matrix), "\n")
  
  if (non_zero_vars >= 2) {
    # Keep only columns with variance
    spike_matrix_filtered <- spike_matrix[, col_vars > 0, drop = FALSE]
    cat("  Running PCA on filtered matrix with dimensions:", dim(spike_matrix_filtered), "\n")
    
    # Run PCA
    tryCatch({
      pca_result <- prcomp(spike_matrix_filtered, scale = TRUE)
      
      # Calculate variance explained
      var_explained <- pca_result$sdev^2 / sum(pca_result$sdev^2)
      cumulative_var <- cumsum(var_explained)
      
      # Number of PCs for different thresholds
      pcs_90 <- min(which(cumulative_var >= 0.9))
      if (is.infinite(pcs_90)) pcs_90 <- length(var_explained)
      
      pcs_95 <- min(which(cumulative_var >= 0.95))
      if (is.infinite(pcs_95)) pcs_95 <- length(var_explained)
      
      pcs_99 <- min(which(cumulative_var >= 0.99))
      if (is.infinite(pcs_99)) pcs_99 <- length(var_explained)
      
      pcs_100 <- length(var_explained)
      
      cat("  PCs for 90% variance:", pcs_90, "\n")
      cat("  PCs for 95% variance:", pcs_95, "\n")
      cat("  PCs for 99% variance:", pcs_99, "\n")
      cat("  PCs for 100% variance:", pcs_100, "\n")
      
      # Extract PC scores for each trial
      pc_scores <- as.data.frame(pca_result$x)
      
      # We want to create a dataframe with 114 PCs
      max_pcs <- 114
      
      # If we have fewer than 114 PCs, pad with NAs
      if (ncol(pc_scores) < max_pcs) {
        for (i in (ncol(pc_scores) + 1):max_pcs) {
          pc_scores[[paste0("PC", i)]] <- NA
        }
      }
      
      # Rename columns to match your model's expected format
      colnames(pc_scores) <- paste0("PC", 1:ncol(pc_scores), "_score")
      
      # Add trial identifiers
      pc_scores$test_session <- session_id
      pc_scores$trial <- 1:nrow(pc_scores)
      
      # Add bootstrap flag if available
      if (!is.null(session_data$is_bootstrapped)) {
        pc_scores$bootstrapped <- session_data$is_bootstrapped
      }
      
      # Return both PCA summary and PC scores
      return(list(
        success = TRUE,
        session_id = session_id,
        n_trials = n_trials,
        n_features = non_zero_vars,
        pcs_90 = pcs_90,
        pcs_95 = pcs_95,
        pcs_99 = pcs_99,
        pcs_100 = pcs_100,
        var_explained = var_explained,
        pc_scores = pc_scores
      ))
    }, error = function(e) {
      cat("  Error in PCA:", e$message, "\n")
      return(list(success = FALSE, message = paste("Error in PCA:", e$message)))
    })
  } else {
    cat("  Not enough columns with variance for PCA\n")
    return(list(success = FALSE, message = "Not enough columns with variance for PCA"))
  }
}

# Perform PCA on each bootstrapped test session
pca_results <- list()
all_pc_scores <- list()

for (i in 1:length(bootstrapped_test_sessions)) {
  cat("\nPerforming PCA on bootstrapped test session", i, "\n")
  
  pca_result <- analyze_session_pca(bootstrapped_test_sessions[[i]], i)
  pca_results[[i]] <- pca_result
  
  if (pca_result$success) {
    all_pc_scores[[i]] <- pca_result$pc_scores
    cat("Successfully extracted PC scores for session", i, "\n")
  } else {
    cat("Failed to extract PC scores for session", i, ":", pca_result$message, "\n")
  }
}
## 
## Performing PCA on bootstrapped test session 1 
## Session 1 : Found non-empty elements in spks. Continuing with matrix creation...
##   Number of trials: 114 
##   Max length of spike vectors: 29360 
##   Columns with non-zero variance: 19303 out of 29360 
##   Running PCA on filtered matrix with dimensions: 114 19303 
##   PCs for 90% variance: 85 
##   PCs for 95% variance: 92 
##   PCs for 99% variance: 98 
##   PCs for 100% variance: 114 
## Successfully extracted PC scores for session 1 
## 
## Performing PCA on bootstrapped test session 2 
## Session 2 : Found non-empty elements in spks. Continuing with matrix creation...
##   Number of trials: 114 
##   Max length of spike vectors: 43600 
##   Columns with non-zero variance: 23445 out of 43600 
##   Running PCA on filtered matrix with dimensions: 114 23445 
##   PCs for 90% variance: 85 
##   PCs for 95% variance: 92 
##   PCs for 99% variance: 98 
##   PCs for 100% variance: 114 
## Successfully extracted PC scores for session 2
# Create a summary table of PCA results
pca_summary <- data.frame(
  Session = integer(),
  Mouse = character(),
  NumTrials = integer(),
  NumFeatures = integer(),
  PCs_90_percent = integer(),
  PCs_95_percent = integer(),
  PCs_99_percent = integer()
)

for (i in 1:length(pca_results)) {
  if (pca_results[[i]]$success) {
    pca_summary <- rbind(pca_summary, data.frame(
      Session = i,
      Mouse = bootstrapped_test_sessions[[i]]$mouse_name,
      NumTrials = pca_results[[i]]$n_trials,
      NumFeatures = pca_results[[i]]$n_features,
      PCs_90_percent = pca_results[[i]]$pcs_90,
      PCs_95_percent = pca_results[[i]]$pcs_95,
      PCs_99_percent = pca_results[[i]]$pcs_99
    ))
  }
}

# Display PCA summary
print(pca_summary)
##   Session     Mouse NumTrials NumFeatures PCs_90_percent PCs_95_percent
## 1       1      Cori       114       19303             85             92
## 2       2 Lederberg       114       23445             85             92
##   PCs_99_percent
## 1             98
## 2             98
# Combine all PC scores
if (length(all_pc_scores) > 0) {
  combined_pc_scores <- bind_rows(all_pc_scores)
  
  # Merge PC scores with the results_df_testing dataframe
  results_df_testing_with_pcs <- results_df_testing %>%
    left_join(combined_pc_scores, by = c("test_session", "trial"))
  
  # Check dimensions
  cat("\nDimensions of results_df_testing_with_pcs:", dim(results_df_testing_with_pcs), "\n")
  
  # Keep only PC columns that were significantly correlated with feedback in your original analysis
  # (This is a placeholder - you'll need to replace with your actual significant PCs)
  if (exists("significant_pcs")) {
    significant_pc_cols <- paste0(significant_pcs, "_score")
    
    # Check which significant PCs exist in our data
    available_sig_pcs <- significant_pc_cols[significant_pc_cols %in% colnames(results_df_testing_with_pcs)]
    cat("Number of significant PCs available in test data:", length(available_sig_pcs), "\n")
    
    # Keep non-PC columns and significant PC columns
    non_pc_cols <- colnames(results_df_testing_with_pcs)[!grepl("^PC\\d+_score$", colnames(results_df_testing_with_pcs))]
    cols_to_keep <- c(non_pc_cols, available_sig_pcs)
    
    results_df_testing_with_pcs <- results_df_testing_with_pcs[, cols_to_keep]
  }
  
  # Update results_df_testing to include PCs
  results_df_testing <- results_df_testing_with_pcs
  
  # Display first few rows and columns to verify
  cat("\nFirst few columns of results_df_testing with PCs:\n")
  print(head(results_df_testing[, 1:min(10, ncol(results_df_testing))]))
} else {
  cat("Warning: No PC scores were successfully extracted\n")
}
## 
## Dimensions of results_df_testing_with_pcs: 1800 125 
## Number of significant PCs available in test data: 53 
## 
## First few columns of results_df_testing with PCs:
## # A tibble: 6 × 10
##   feedback leftcontrast rightcontrast trial brain_area avg_spike_count
##      <dbl>        <dbl>         <dbl> <dbl> <chr>                <dbl>
## 1       -1         0.25          0.25     1 ACA                  0.899
## 2       -1         0.25          0.25     1 CA3                  2.22 
## 3       -1         0.25          0.25     1 DG                   1.79 
## 4       -1         0.25          0.25     1 LS                   1.27 
## 5       -1         0.25          0.25     1 MOs                  0.894
## 6       -1         0.25          0.25     1 root                 0.333
## # ℹ 4 more variables: test_session <int>, mousename <chr>,
## #   contrast_interaction <chr>, contrastdiff <dbl>
# Return the updated results dataframe with PC scores
cat("\nFinal dimensions of test data with PCs:", dim(results_df_testing), "\n")
## 
## Final dimensions of test data with PCs: 1800 64
# Get feature variables used in your XGBoost model
model_feature_vars <- xgb_results[[1]]$feature_vars  # Assuming the first fold's model

# Filter PC columns to keep only those used by the model
pc_cols_in_model <- model_feature_vars[grepl("^PC\\d+_score$", model_feature_vars)]
non_pc_cols <- colnames(results_df_testing)[!grepl("^PC\\d+_score$", colnames(results_df_testing))]

# Keep only relevant columns
cols_to_keep <- c(non_pc_cols, pc_cols_in_model)
results_df_testing <- results_df_testing[, cols_to_keep]
results_df_testing
## # A tibble: 1,800 × 64
##    feedback leftcontrast rightcontrast trial brain_area avg_spike_count
##       <dbl>        <dbl>         <dbl> <dbl> <chr>                <dbl>
##  1       -1         0.25          0.25     1 ACA                  0.899
##  2       -1         0.25          0.25     1 CA3                  2.22 
##  3       -1         0.25          0.25     1 DG                   1.79 
##  4       -1         0.25          0.25     1 LS                   1.27 
##  5       -1         0.25          0.25     1 MOs                  0.894
##  6       -1         0.25          0.25     1 root                 0.333
##  7       -1         0.25          0.25     1 SUB                  2.31 
##  8       -1         0.25          0.25     1 VISp                 1.60 
##  9        1         0             0        2 ACA                  0.661
## 10        1         0             0        2 CA3                  2.54 
## # ℹ 1,790 more rows
## # ℹ 58 more variables: test_session <int>, mousename <chr>,
## #   contrast_interaction <chr>, contrastdiff <dbl>, bootstrapped <lgl>,
## #   PC107_score <dbl>, PC4_score <dbl>, PC112_score <dbl>, PC7_score <dbl>,
## #   PC1_score <dbl>, PC66_score <dbl>, PC40_score <dbl>, PC104_score <dbl>,
## #   PC35_score <dbl>, PC85_score <dbl>, PC41_score <dbl>, PC33_score <dbl>,
## #   PC96_score <dbl>, PC37_score <dbl>, PC108_score <dbl>, PC91_score <dbl>, …
library(xgboost)
library(pROC)
library(dplyr)

# Function to predict using a single XGBoost model
predict_with_xgboost_model <- function(model, test_data, feature_vars) {
  # Check which feature variables exist in test data
  missing_vars <- feature_vars[!feature_vars %in% colnames(test_data)]
  if (length(missing_vars) > 0) {
    cat("Warning: The following features are missing from test data:", 
        paste(missing_vars, collapse=", "), "\n")
    # Continue with available features
    feature_vars <- feature_vars[feature_vars %in% colnames(test_data)]
  }
  
  # Ensure we have at least some features to work with
  if (length(feature_vars) == 0) {
    stop("No valid features found in test data for prediction")
  }
  
  # Extract feature matrix
  x_test <- test_data[, feature_vars, drop=FALSE]
  
  # Convert all values to numeric and handle NAs
  for (col in feature_vars) {
    x_test[[col]] <- as.numeric(as.character(x_test[[col]]))
    
    # Replace NAs with column mean
    if (any(is.na(x_test[[col]]))) {
      col_mean <- mean(x_test[[col]], na.rm = TRUE)
      x_test[[col]][is.na(x_test[[col]])] <- col_mean
      cat("Replaced NAs in", col, "with mean:", col_mean, "\n")
    }
  }
  
  # Convert to matrix for XGBoost
  x_test_matrix <- as.matrix(x_test)
  
  # Make predictions
  pred_probs <- predict(model, x_test_matrix)
  pred_class <- ifelse(pred_probs > 0.5, "1", "-1")
  
  return(list(
    probabilities = pred_probs,
    predicted_class = pred_class,
    feature_vars = feature_vars
  ))
}

# Function to make predictions using an ensemble of XGBoost models
predict_with_xgboost_ensemble <- function(xgb_results, test_data) {
  # Identify successful models
  successful_models <- which(sapply(xgb_results, function(x) isTRUE(x$success)))
  
  if (length(successful_models) == 0) {
    stop("No successful XGBoost models found in xgb_results")
  }
  
  cat("Found", length(successful_models), "successful XGBoost models for ensemble prediction\n")
  
  # Initialize arrays for ensemble predictions
  all_probs <- matrix(0, nrow = nrow(test_data), ncol = length(successful_models))
  all_classes <- matrix("", nrow = nrow(test_data), ncol = length(successful_models))
  
  # Make predictions with each model
  for (i in 1:length(successful_models)) {
    model_idx <- successful_models[i]
    model <- xgb_results[[model_idx]]$model
    feature_vars <- xgb_results[[model_idx]]$feature_vars
    
    cat("\nMaking predictions with model from fold", model_idx, "using", length(feature_vars), "features\n")
    
    # Get predictions
    preds <- predict_with_xgboost_model(model, test_data, feature_vars)
    
    # Store predictions
    all_probs[, i] <- preds$probabilities
    all_classes[, i] <- preds$predicted_class
  }
  
  # Calculate ensemble predictions (averaging probabilities)
  ensemble_probs <- rowMeans(all_probs)
  ensemble_classes <- ifelse(ensemble_probs > 0.5, "1", "-1")
  
  # Calculate agreement rate among models
  agreement_rates <- numeric(nrow(test_data))
  for (i in 1:nrow(test_data)) {
    majority_vote <- names(which.max(table(all_classes[i, ])))
    agreement_rates[i] <- sum(all_classes[i, ] == majority_vote) / length(successful_models)
  }
  
  return(list(
    probabilities = ensemble_probs,
    predicted_class = ensemble_classes,
    individual_probs = all_probs,
    individual_classes = all_classes,
    agreement_rates = agreement_rates
  ))
}

# Check if the XGBoost model exists
if (!exists("xgb_results")) {
  stop("XGBoost model results not found. Run the model training first.")
}

# Check if the test data with PCs exists
if (!exists("results_df_testing")) {
  stop("Test data not found. Process test data with PCs first.")
}

# Make predictions using the ensemble
cat("\nMaking predictions on test data with XGBoost ensemble...\n")
## 
## Making predictions on test data with XGBoost ensemble...
predictions <- predict_with_xgboost_ensemble(xgb_results, results_df_testing)
## Found 4 successful XGBoost models for ensemble prediction
## 
## Making predictions with model from fold 1 using 55 features
## Warning in predict_with_xgboost_model(model, test_data, feature_vars): NAs
## introduced by coercion
## Replaced NAs in contrast_interaction with mean: NaN 
## 
## Making predictions with model from fold 2 using 55 features
## Warning in predict_with_xgboost_model(model, test_data, feature_vars): NAs
## introduced by coercion
## Replaced NAs in contrast_interaction with mean: NaN 
## 
## Making predictions with model from fold 3 using 55 features
## Warning in predict_with_xgboost_model(model, test_data, feature_vars): NAs
## introduced by coercion
## Replaced NAs in contrast_interaction with mean: NaN 
## 
## Making predictions with model from fold 4 using 55 features
## Warning in predict_with_xgboost_model(model, test_data, feature_vars): NAs
## introduced by coercion
## Replaced NAs in contrast_interaction with mean: NaN
# Add predictions to the test data
results_df_testing$predicted_probability <- predictions$probabilities
results_df_testing$predicted_class <- predictions$predicted_class
results_df_testing$model_agreement <- predictions$agreement_rates

# Convert to proper factors for comparison
results_df_testing$feedback <- factor(results_df_testing$feedback, levels = c("-1", "1"))
results_df_testing$predicted_class <- factor(results_df_testing$predicted_class, levels = c("-1", "1"))

# Calculate overall accuracy
accuracy <- mean(results_df_testing$predicted_class == results_df_testing$feedback, na.rm = TRUE)
cat("\nOverall accuracy on test data:", round(accuracy * 100, 2), "%\n")
## 
## Overall accuracy on test data: 61.22 %
# Create confusion matrix
conf_matrix <- table(Predicted = results_df_testing$predicted_class, 
                    Actual = results_df_testing$feedback)
cat("\nConfusion Matrix:\n")
## 
## Confusion Matrix:
print(conf_matrix)
##          Actual
## Predicted  -1   1
##        -1 171 375
##        1  323 931
# Calculate various metrics
precision <- conf_matrix["1","1"] / sum(conf_matrix["1",])
recall <- conf_matrix["1","1"] / sum(conf_matrix[,"1"])
specificity <- conf_matrix["-1","-1"] / sum(conf_matrix[,"-1"])
f1_score <- 2 * precision * recall / (precision + recall)
balanced_acc <- (recall + specificity) / 2

# Calculate AUC
test_feedback_numeric <- as.numeric(results_df_testing$feedback == "1")
roc_obj <- roc(test_feedback_numeric, predictions$probabilities)
## Setting levels: control = 0, case = 1
## Setting direction: controls < cases
auc_value <- auc(roc_obj)

# Display all metrics
cat("\nTest Data Metrics:\n")
## 
## Test Data Metrics:
cat("Accuracy:", round(accuracy * 100, 2), "%\n")
## Accuracy: 61.22 %
cat("Balanced Accuracy:", round(balanced_acc * 100, 2), "%\n")
## Balanced Accuracy: 52.95 %
cat("Precision:", round(precision, 3), "\n")
## Precision: 0.742
cat("Recall (Sensitivity):", round(recall, 3), "\n")
## Recall (Sensitivity): 0.713
cat("Specificity:", round(specificity, 3), "\n")
## Specificity: 0.346
cat("F1 Score:", round(f1_score, 3), "\n")
## F1 Score: 0.727
cat("AUC:", round(auc_value, 3), "\n")
## AUC: 0.543
# Check performance by session/mouse
by_session <- results_df_testing %>%
  group_by(test_session, mousename) %>%
  summarize(
    Trials = n_distinct(trial),
    Accuracy = mean(predicted_class == feedback, na.rm = TRUE),
    Precision = sum(predicted_class == "1" & feedback == "1") / sum(predicted_class == "1"),
    Recall = sum(predicted_class == "1" & feedback == "1") / sum(feedback == "1"),
    .groups = "drop"
  )

cat("\nPerformance by session:\n")
## 
## Performance by session:
print(by_session)
## # A tibble: 2 × 6
##   test_session mousename Trials Accuracy Precision Recall
##          <int> <chr>      <int>    <dbl>     <dbl>  <dbl>
## 1            1 Cori         100    0.635     0.747  0.745
## 2            2 Lederberg    100    0.594     0.738  0.688
# Performance by contrast interaction
by_contrast <- results_df_testing %>%
  group_by(contrast_interaction) %>%
  summarize(
    Trials = n_distinct(paste(test_session, trial)),
    Accuracy = mean(predicted_class == feedback, na.rm = TRUE),
    .groups = "drop"
  ) %>%
  arrange(desc(Trials))

cat("\nPerformance by contrast interaction:\n")
## 
## Performance by contrast interaction:
print(by_contrast)
## # A tibble: 16 × 3
##    contrast_interaction Trials Accuracy
##    <chr>                 <int>    <dbl>
##  1 0_0                      53    0.463
##  2 0.25_1                   22    0.619
##  3 1_0                      19    0.657
##  4 0.5_0                    18    0.638
##  5 0_1                      17    0.658
##  6 0_0.5                    15    0.803
##  7 1_0.25                   11    0.904
##  8 0.5_0.25                  8    0.851
##  9 1_0.5                     8    0.611
## 10 0.25_0                    6    0.714
## 11 0.25_0.5                  5    0.239
## 12 0_0.25                    5    0.727
## 13 0.5_0.5                   4    0.235
## 14 0.5_1                     4    0.778
## 15 0.25_0.25                 3    0.308
## 16 1_1                       2    0.667
# Check if bootstrapped trials perform differently from original trials
if ("bootstrapped" %in% colnames(results_df_testing)) {
  by_bootstrap <- results_df_testing %>%
    group_by(bootstrapped) %>%
    summarize(
      Trials = n_distinct(paste(test_session, trial)),
      Accuracy = mean(predicted_class == feedback, na.rm = TRUE),
      .groups = "drop"
    )
  
  cat("\nPerformance by trial type (original vs bootstrapped):\n")
  print(by_bootstrap)
}
## 
## Performance by trial type (original vs bootstrapped):
## # A tibble: 1 × 3
##   bootstrapped Trials Accuracy
##   <lgl>         <int>    <dbl>
## 1 FALSE           200    0.612
# Return the test data with predictions
head(results_df_testing[, c("test_session", "mousename", "trial", "feedback", 
                           "predicted_class", "predicted_probability", "model_agreement")])
## # A tibble: 6 × 7
##   test_session mousename trial feedback predicted_class predicted_probability
##          <int> <chr>     <dbl> <fct>    <fct>                           <dbl>
## 1            1 Cori          1 -1       -1                              0.484
## 2            1 Cori          1 -1       1                               0.580
## 3            1 Cori          1 -1       1                               0.574
## 4            1 Cori          1 -1       1                               0.520
## 5            1 Cori          1 -1       -1                              0.484
## 6            1 Cori          1 -1       -1                              0.493
## # ℹ 1 more variable: model_agreement <dbl>

If we had more time, we would compare the accuracy statistics for different threshold scores for each prediction model. Given that most feedback scores are successes, it may be important to accurately predict failures (true negatives). With this mindset, we might want to change the threshold score to be higher than what we are currently using (0.5). This would result in more likelihood of something being classified as a failure than with a threshold score of 0.5. The prediction model would have to have a high probability that a trial is a success before it can classify it as a success.


I will continue to explore the relationship between feedback type and the brain areas of the neurons that spike in each trial.

I will also see if the same neurons that spike during a successful feedback hold true with different mice.

I will see if there is a difference in neuron type or feedback success in right versus left contrast.

is there a time point where there are more spikes? average_spk_count = average across all 40 time points i think

Part 2. Data integration. Using the findings in Part 1, we will propose an approach to combine data across trials by (i) extracting the shared patters across sessions and/or (ii) addressing the differences between sessions. The goal of this part is to enable the borrowing of information across sessions to enhance the prediction performance in Part 3.

Project report outline

The final submission of the course project is a report in HTML format, along with a link to the Github repository that can be used to reproduce your report. The project report must be legible and the exposition of the report is part of the grading rubrics. For consistency in grading, please follow the outline listed below.

In addition, the remaining 20 points will be allocated to report organization and legibility and creativity and originality.

Project milestones

A series of milestones are set throughout the quarter in order to encourage, and reward, early starts on the course project. Furthermore, there are several project discussion sessions throughout the quarter for students to utilize.

Remark: One important thing to note is that a course project is not an exam where questions on the exam are kept confidential. Instead, the instructor and TAs are more than happy to share with you our thoughts on how to improve your projects before you submit them. From a practical perspective, it is more rewarding to solicit advice and suggestions before we grade your reports than to wait for feedback afterwards. That said, we understand that you may have other courses and obligations that are more important than this course. Therefore, all submissions and attendance are optional except for the final project report due on June 12th.

Reference

Steinmetz, N.A., Zatka-Haas, P., Carandini, M. et al. Distributed coding of choice, action and engagement across the mouse brain. Nature 576, 266–273 (2019). https://doi.org/10.1038/s41586-019-1787-x

*** can look at past rpojects for inspiration

  1. EDA feature ~ feedback (success/success+failure)

Result: have few features you are goingn to incorporate - how does success vary with feature - ex) feedback type vs brain area - what types of things have people found online

  1. transform data to get X matrix: summary statistic or dimensional reduction technique (clustering/PCA)

make a matrix of X: number of features, number of observations

  1. Fit a prediction model
  1. Test data set

talk with veda - veda did an chi square test to determine if congrast has an effect on feedvback score - do another test evliuating the effect of spike count on feedback score

friday - consultingmsII - other ways to have mean statistic that isnt average spike count - pay attention to time windows: - lets only look at certain time windows - justify why you are using the variables that you are doing - YOU ARE MAKING CHOICES: JUSTIFY - if you only want to analyze a few sessions, explain why - explain what criteria you are using for evaluaiting a fitted model

Appendix

Bootstrapping:

# Load required libraries
library(boot)

# Function to calculate PCs needed for 90% variance in bootstrap samples
bootstrap_pca <- function(session_data, session_id, n_bootstrap = 1000) {
  # First check if spks has elements
  if (length(session_data$spks) == 0 || all(sapply(session_data$spks, length) == 0)) {
    return(list(success = FALSE, message = "No valid spike data"))
  }
  
  # Create spike matrix as before
  element_lengths <- sapply(session_data$spks, length)
  n_trials <- length(session_data$spks)
  max_length <- max(element_lengths)
  
  spike_matrix <- matrix(0, nrow = n_trials, ncol = max_length)
  
  for (i in 1:n_trials) {
    if (length(session_data$spks[[i]]) > 0) {
      spk_data <- session_data$spks[[i]]
      spike_matrix[i, 1:length(spk_data)] <- spk_data
    }
  }
  
  # Check for constant columns
  col_vars <- apply(spike_matrix, 2, var)
  non_zero_vars <- col_vars > 0
  
  if (sum(non_zero_vars) < 2) {
    return(list(success = FALSE, message = "Not enough variable columns for PCA"))
  }
  
  # Keep only columns with variance
  spike_matrix_filtered <- spike_matrix[, non_zero_vars, drop = FALSE]
  
  # Define bootstrap function to calculate PCs for 90% variance
  calc_pcs_90 <- function(data, indices) {
    # Resample data
    resampled_data <- data[indices, ]
    
    # Run PCA
    pca_result <- tryCatch({
      prcomp(resampled_data, scale = TRUE)
    }, error = function(e) {
      return(NULL)
    })
    
    if (is.null(pca_result)) {
      return(NA)
    }
    
    # Calculate variance explained
    var_explained <- pca_result$sdev^2 / sum(pca_result$sdev^2)
    cumulative_var <- cumsum(var_explained)
    
    # PCs for 90% variance
    pcs_90 <- min(which(cumulative_var >= 0.9))
    if (is.infinite(pcs_90)) pcs_90 <- length(var_explained)
    
    return(pcs_90)
  }
  
  # Perform bootstrap
  boot_results <- boot(data = spike_matrix_filtered, 
                       statistic = calc_pcs_90, 
                       R = n_bootstrap)
  
  # Calculate statistics
  mean_pcs <- mean(boot_results$t, na.rm = TRUE)
  median_pcs <- median(boot_results$t, na.rm = TRUE)
  ci_pcs <- boot.ci(boot_results, type = "perc", conf = 0.95)
  
  # Return results
  return(list(
    success = TRUE,
    session_id = session_id,
    n_trials = n_trials,
    n_features = sum(non_zero_vars),
    mean_pcs_90 = mean_pcs,
    median_pcs_90 = median_pcs,
    ci_low = if (!is.null(ci_pcs)) ci_pcs$percent[4] else NA,
    ci_high = if (!is.null(ci_pcs)) ci_pcs$percent[5] else NA,
    boot_samples = boot_results$t
  ))
}

# Process all sessions
bootstrap_results <- list()
for (i in 1:18) {
  cat("\nBootstrapping session", i, "\n")
  
  # Check if session exists
  if (exists(paste0("session", i)) || exists("session") && length(session) >= i) {
    # Get the correct session data
    if (exists(paste0("session", i))) {
      session_data <- get(paste0("session", i))
    } else {
      session_data <- session[[i]]
    }
    
    # Bootstrap the session
    result <- bootstrap_pca(session_data, i)
    bootstrap_results[[as.character(i)]] <- result
    
    if (result$success) {
      cat("  Success! For session", i, ":\n")
      cat("  Mean PCs for 90% variance:", result$mean_pcs_90, "\n")
      cat("  Median PCs for 90% variance:", result$median_pcs_90, "\n")
      cat("  95% CI:", result$ci_low, "-", result$ci_high, "\n")
    } else {
      cat("  Failed:", result$message, "\n")
    }
  } else {
    cat("Session", i, "data not found\n")
    bootstrap_results[[as.character(i)]] <- list(success = FALSE, message = "Session data not found")
  }
}

# Create summary table
bootstrap_summary <- data.frame(
  Session = integer(),
  NumTrials = integer(),
  NumFeatures = integer(),
  Mean_PCs_90 = numeric(),
  Median_PCs_90 = numeric(),
  CI_Low = numeric(),
  CI_High = numeric()
)

for (session_id in names(bootstrap_results)) {
  result <- bootstrap_results[[session_id]]
  if (result$success) {
    bootstrap_summary <- rbind(bootstrap_summary, data.frame(
      Session = as.integer(session_id),
      NumTrials = result$n_trials,
      NumFeatures = result$n_features,
      Mean_PCs_90 = result$mean_pcs_90,
      Median_PCs_90 = result$median_pcs_90,
      CI_Low = result$ci_low,
      CI_High = result$ci_high
    ))
  } else {
    # Add a row with NA values for failed sessions
    bootstrap_summary <- rbind(bootstrap_summary, data.frame(
      Session = as.integer(session_id),
      NumTrials = NA,
      NumFeatures = NA,
      Mean_PCs_90 = NA,
      Median_PCs_90 = NA,
      CI_Low = NA,
      CI_High = NA
    ))
  }
}

# Sort by session and print
bootstrap_summary <- bootstrap_summary[order(bootstrap_summary$Session), ]
print(bootstrap_summary)

# Calculate an optimal PC count across all sessions
successful_sessions <- bootstrap_summary[!is.na(bootstrap_summary$Mean_PCs_90), ]

if (nrow(successful_sessions) > 0) {
  # Find the maximum of the upper CI bounds
  max_ci_high <- max(successful_sessions$CI_High, na.rm = TRUE)
  
  # Find the median of the median PC counts
  median_of_medians <- median(successful_sessions$Median_PCs_90, na.rm = TRUE)
  
  # Calculate a robust number that works for all sessions
  robust_pc_count <- ceiling(max_ci_high)
  
  cat("\nRecommended consistent PC count for all sessions:", robust_pc_count, "\n")
  cat("This covers the 95% confidence interval upper bound for all sessions\n")
  cat("Median of median PC counts across sessions:", median_of_medians, "\n")
  
  # Calculate what percentage of features this represents for each session
  bootstrap_summary$Percent_Features <- (robust_pc_count / bootstrap_summary$NumFeatures) * 100
  
  cat("\nVariance explained with", robust_pc_count, "PCs for each session:\n")
  
  # Calculate variance explained by the robust PC count for each session
  for (i in 1:nrow(bootstrap_summary)) {
    session_id <- bootstrap_summary$Session[i]
    if (exists(paste0("session", session_id)) || exists("session") && length(session) >= session_id) {
      # Get correct session data
      if (exists(paste0("session", session_id))) {
        session_data <- get(paste0("session", session_id))
      } else {
        session_data <- session[[session_id]]
      }
      
      # Skip if no valid data
      if (length(session_data$spks) == 0 || all(sapply(session_data$spks, length) == 0)) {
        cat("  Session", session_id, ": No valid data\n")
        next
      }
      
      # Create spike matrix
      element_lengths <- sapply(session_data$spks, length)
      spike_matrix <- matrix(0, nrow = length(session_data$spks), ncol = max(element_lengths))
      
      for (j in 1:length(session_data$spks)) {
        if (length(session_data$spks[[j]]) > 0) {
          spk_data <- session_data$spks[[j]]
          spike_matrix[j, 1:length(spk_data)] <- spk_data
        }
      }
      
      # Filter columns
      col_vars <- apply(spike_matrix, 2, var)
      non_zero_vars <- col_vars > 0
      
      if (sum(non_zero_vars) < 2) {
        cat("  Session", session_id, ": Not enough variable columns\n")
        next
      }
      
      spike_matrix_filtered <- spike_matrix[, non_zero_vars, drop = FALSE]
      
      # Run PCA
      tryCatch({
        pca_result <- prcomp(spike_matrix_filtered, scale = TRUE)
        var_explained <- pca_result$sdev^2 / sum(pca_result$sdev^2)
        cumulative_var <- cumsum(var_explained)
        
        # Get variance explained by robust PC count
        pc_count <- min(robust_pc_count, length(cumulative_var))
        var_explained_robust <- cumulative_var[pc_count] * 100
        
        cat("  Session", session_id, ": ", round(var_explained_robust, 2), "% variance explained with", pc_count, "PCs\n")
        
        # Update the variance explained in the summary
        bootstrap_summary$Variance_Explained[i] <- var_explained_robust
      }, error = function(e) {
        cat("  Session", session_id, ": Error in PCA:", e$message, "\n")
      })
    }
  }
}

Lasso model:

library(glmnet)
library(pROC)

# Function to evaluate LASSO model on a single fold
evaluate_lasso_fold <- function(train_data, test_data, fold_number) {
  # Ensure feedback is correctly handled
  train_data$feedback <- factor(train_data$feedback, levels = c(-1, 1))
  test_data$feedback <- factor(test_data$feedback, levels = c(-1, 1))
  
  # Convert feedback to numeric (0/1) for LASSO
  y_train <- as.numeric(train_data$feedback == "1")
  
  # Calculate class weights
  n_samples <- length(y_train)
  n_neg <- sum(y_train == 0)
  n_pos <- sum(y_train == 1)
  
  # Class weights (inverting class frequencies)
  w_neg <- n_samples / (2 * n_neg)
  w_pos <- n_samples / (2 * n_pos)
  
  # Assign weights to observations
  weights <- ifelse(y_train == 0, w_neg, w_pos)
  
  cat("Class distribution - Negative:", n_neg, "Positive:", n_pos, "\n")
  cat("Class weights - Negative:", w_neg, "Positive:", w_pos, "\n")
  
  # Identify PC columns
  pc_cols <- grep("^PC\\d+_score$", colnames(train_data), value = TRUE)
  
  # Feature variables to use
  feature_vars <- c("avg_spike_count", "contrast_interaction", pc_cols)
  
  # Check if all feature variables exist in the data
  missing_vars <- feature_vars[!feature_vars %in% colnames(train_data)]
  if (length(missing_vars) > 0) {
    cat("Warning: The following variables are missing:", paste(missing_vars, collapse=", "), "\n")
    feature_vars <- feature_vars[feature_vars %in% colnames(train_data)]
  }
  
  # Check that we have features to work with
  if (length(feature_vars) == 0) {
    return(list(success = FALSE, message = "No valid features found"))
  }
  
  # Create feature matrices
  x_train_df <- train_data[, feature_vars, drop=FALSE]
  x_test_df <- test_data[, feature_vars, drop=FALSE]
  
  # Ensure all variables are numeric and handle NAs
  for (col in feature_vars) {
    # Convert to numeric
    x_train_df[[col]] <- as.numeric(x_train_df[[col]])
    x_test_df[[col]] <- as.numeric(x_test_df[[col]])
    
    # Handle NAs
    if (any(is.na(x_train_df[[col]]))) {
      col_mean <- mean(x_train_df[[col]], na.rm = TRUE)
      x_train_df[[col]][is.na(x_train_df[[col]])] <- col_mean
    }
    if (any(is.na(x_test_df[[col]]))) {
      col_mean <- mean(x_train_df[[col]], na.rm = TRUE) # Use training mean
      x_test_df[[col]][is.na(x_test_df[[col]])] <- col_mean
    }
  }
  
  # Convert to matrices
  x_train <- as.matrix(x_train_df)
  x_test <- as.matrix(x_test_df)
  
  # Run cross-validation to find optimal lambda
  set.seed(123)
  cv_lasso <- tryCatch({
    cv.glmnet(x_train, y_train, 
              alpha = 1,           # LASSO regression
              family = "binomial", # For binary classification
              weights = weights,   # Apply class weights
              type.measure = "auc", 
              nfolds = 5)
  }, error = function(e) {
    cat("Error in cv.glmnet:", e$message, "\n")
    return(NULL)
  })
  
  if (is.null(cv_lasso)) {
    return(list(success = FALSE, message = "LASSO cross-validation failed"))
  }
  
  # Get the best lambda values
  lambda_min <- cv_lasso$lambda.min  # Lambda that gives minimum mean CV error
  lambda_1se <- cv_lasso$lambda.1se  # Largest lambda such that error is within 1 SE of the minimum
  
  cat("Lambda min:", lambda_min, "\n")
  cat("Lambda 1se:", lambda_1se, "\n")
  
  # Train LASSO model with the optimal lambda (1se is more parsimonious)
  lasso_model <- glmnet(x_train, y_train, 
                        alpha = 1, 
                        family = "binomial",
                        weights = weights,
                        lambda = lambda_1se)
  
  # Make predictions on test data
  test_predictions_prob <- predict(lasso_model, newx = x_test, type = "response")
  test_predictions <- ifelse(test_predictions_prob > 0.5, "1", "-1")
  test_predictions <- factor(test_predictions, levels = c("-1", "1"))
  
  # Calculate accuracy
  accuracy <- mean(test_predictions == test_data$feedback, na.rm = TRUE)
  
  # Create confusion matrix
  conf_matrix <- table(Predicted = test_predictions, Actual = test_data$feedback)
  
  # Calculate other metrics
  precision <- tryCatch({
    conf_matrix["1","1"] / sum(conf_matrix["1",])
  }, error = function(e) NA)
  
  recall <- tryCatch({
    conf_matrix["1","1"] / sum(conf_matrix[,"1"])
  }, error = function(e) NA)
  
  f1_score <- tryCatch({
    2 * precision * recall / (precision + recall)
  }, error = function(e) NA)
  
  # Calculate AUC
  test_feedback_numeric <- as.numeric(test_data$feedback == "1")
  roc_obj <- tryCatch({
    roc(test_feedback_numeric, as.vector(test_predictions_prob))
  }, error = function(e) NULL)
  
  auc_value <- if(!is.null(roc_obj)) auc(roc_obj) else NA
  
  # Get non-zero coefficients (selected features)
  coef_matrix <- as.matrix(coef(lasso_model))
  nonzero_coefs <- coef_matrix[coef_matrix != 0, , drop = FALSE]
  
  return(list(
    success = TRUE,
    fold = fold_number,
    model = lasso_model,
    cv_model = cv_lasso,
    accuracy = accuracy,
    conf_matrix = conf_matrix,
    precision = precision,
    recall = recall,
    f1_score = f1_score,
    auc = auc_value,
    roc = roc_obj,
    nonzero_coefs = nonzero_coefs,
    feature_vars = feature_vars,
    class_weights = c(negative = w_neg, positive = w_pos)
  ))
}

# Run evaluation for all folds
lasso_results <- list()
for (i in 1:4) {
  cat("\n======== Evaluating LASSO Model on Fold", i, "========\n")
  train_data <- train_test_pairs[[i]]$train
  test_data <- train_test_pairs[[i]]$test
  
  # Check if contrast_interaction exists
  if (!"contrast_interaction" %in% colnames(train_data)) {
    cat("Warning: contrast_interaction not found, creating it now\n")
    train_data$contrast_interaction <- as.numeric(train_data$leftcontrast) * as.numeric(train_data$rightcontrast)
    test_data$contrast_interaction <- as.numeric(test_data$leftcontrast) * as.numeric(test_data$rightcontrast)
  }
  
  result <- evaluate_lasso_fold(train_data, test_data, i)
  lasso_results[[i]] <- result
  
  if (!result$success) {
    cat("Fold", i, "analysis failed:", result$message, "\n")
    next
  }
  
  # Print metrics for this fold
  cat("Fold", i, "metrics:\n")
  cat("Accuracy:", round(result$accuracy * 100, 2), "%\n")
  cat("Confusion Matrix:\n")
  print(result$conf_matrix)
  cat("Precision:", round(result$precision, 3), "\n")
  cat("Recall:", round(result$recall, 3), "\n")
  cat("F1 Score:", round(result$f1_score, 3), "\n")
  cat("AUC:", round(result$auc, 3), "\n\n")
  
  # Print selected features (non-zero coefficients)
  cat("Selected Features (non-zero coefficients):\n")
  print(result$nonzero_coefs)
  cat("Number of features selected:", nrow(result$nonzero_coefs) - 1, "\n\n")  # -1 for intercept
}

# Calculate average metrics across successful folds
successful_folds <- which(sapply(lasso_results, function(x) isTRUE(x$success)))

if (length(successful_folds) > 0) {
  avg_accuracy <- mean(sapply(lasso_results[successful_folds], function(x) x$accuracy), na.rm = TRUE)
  avg_precision <- mean(sapply(lasso_results[successful_folds], function(x) x$precision), na.rm = TRUE)
  avg_recall <- mean(sapply(lasso_results[successful_folds], function(x) x$recall), na.rm = TRUE)
  avg_f1 <- mean(sapply(lasso_results[successful_folds], function(x) x$f1_score), na.rm = TRUE)
  avg_auc <- mean(sapply(lasso_results[successful_folds], function(x) x$auc), na.rm = TRUE)
  
  cat("\n======== LASSO MODEL CROSS-VALIDATION SUMMARY ========\n")
  cat("Average Accuracy:", round(avg_accuracy * 100, 2), "%\n")
  cat("Average Precision:", round(avg_precision, 3), "\n")
  cat("Average Recall:", round(avg_recall, 3), "\n")
  cat("Average F1 Score:", round(avg_f1, 3), "\n")
  cat("Average AUC:", round(avg_auc, 3), "\n")
  
  # Aggregate feature importance across folds
  feature_importance <- data.frame(Feature = character(), Count = integer(), Mean_Coef = numeric())
  
  for (i in successful_folds) {
    # Get non-zero coefficients
    coefs <- lasso_results[[i]]$nonzero_coefs
    
    # Add each feature to the importance dataframe
    for (j in 1:nrow(coefs)) {
      feature_name <- rownames(coefs)[j]
      coef_value <- coefs[j, 1]
      
      # If feature exists, increment count and update mean
      if (feature_name %in% feature_importance$Feature) {
        idx <- which(feature_importance$Feature == feature_name)
        feature_importance$Count[idx] <- feature_importance$Count[idx] + 1
        feature_importance$Mean_Coef[idx] <- (feature_importance$Mean_Coef[idx] * (feature_importance$Count[idx] - 1) + coef_value) / feature_importance$Count[idx]
      } else {
        # Add new feature
        feature_importance <- rbind(feature_importance, data.frame(
          Feature = feature_name,
          Count = 1,
          Mean_Coef = coef_value
        ))
      }
    }
  }
  
  # Sort by frequency and then by absolute coefficient
  feature_importance$Abs_Coef <- abs(feature_importance$Mean_Coef)
  feature_importance <- feature_importance[order(-feature_importance$Count, -feature_importance$Abs_Coef), ]
  
  cat("\n======== FEATURE IMPORTANCE ACROSS FOLDS ========\n")
  cat("Features selected in at least 2 folds:\n")
  print(feature_importance[feature_importance$Count >= 2, ])
  
  # Compare with other models if they exist
  models_to_compare <- c("LASSO (with class weights)")
  accuracy_values <- c(avg_accuracy)
  precision_values <- c(avg_precision)
  recall_values <- c(avg_recall)
  f1_values <- c(avg_f1)
  auc_values <- c(avg_auc)
  
  if (exists("xgb_results")) {
    models_to_compare <- c(models_to_compare, "XGBoost")
    xgb_successful <- which(sapply(xgb_results, function(x) isTRUE(x$success)))
    if (length(xgb_successful) > 0) {
      accuracy_values <- c(accuracy_values, mean(sapply(xgb_results[xgb_successful], function(x) x$accuracy), na.rm = TRUE))
      precision_values <- c(precision_values, mean(sapply(xgb_results[xgb_successful], function(x) x$precision), na.rm = TRUE))
      recall_values <- c(recall_values, mean(sapply(xgb_results[xgb_successful], function(x) x$recall), na.rm = TRUE))
      f1_values <- c(f1_values, mean(sapply(xgb_results[xgb_successful], function(x) x$f1_score), na.rm = TRUE))
      auc_values <- c(auc_values, mean(sapply(xgb_results[xgb_successful], function(x) x$auc), na.rm = TRUE))
    }
  }
  
  if (exists("lda_results")) {
    models_to_compare <- c(models_to_compare, "LDA")
    accuracy_values <- c(accuracy_values, mean(sapply(lda_results, function(x) x$accuracy), na.rm = TRUE))
    precision_values <- c(precision_values, mean(sapply(lda_results, function(x) x$precision), na.rm = TRUE))
    recall_values <- c(recall_values, mean(sapply(lda_results, function(x) x$recall), na.rm = TRUE))
    f1_values <- c(f1_values, mean(sapply(lda_results, function(x) x$f1_score), na.rm = TRUE))
    auc_values <- c(auc_values, mean(sapply(lda_results, function(x) x$auc), na.rm = TRUE))
  }
  
  if (exists("knn_results")) {
    models_to_compare <- c(models_to_compare, "kNN")
    knn_successful <- which(sapply(knn_results, function(x) isTRUE(x$success)))
    if (length(knn_successful) > 0) {
      accuracy_values <- c(accuracy_values, mean(sapply(knn_results[knn_successful], function(x) x$accuracy), na.rm = TRUE))
      precision_values <- c(precision_values, mean(sapply(knn_results[knn_successful], function(x) x$precision), na.rm = TRUE))
      recall_values <- c(recall_values, mean(sapply(knn_results[knn_successful], function(x) x$recall), na.rm = TRUE))
      f1_values <- c(f1_values, mean(sapply(knn_results[knn_successful], function(x) x$f1_score), na.rm = TRUE))
      auc_values <- c(auc_values, mean(sapply(knn_results[knn_successful], function(x) x$auc), na.rm = TRUE))
    }
  }
  
  if (exists("results")) {  # Logistic regression results
    models_to_compare <- c(models_to_compare, "Logistic Regression")
    accuracy_values <- c(accuracy_values, mean(sapply(results, function(x) x$accuracy), na.rm = TRUE))
    precision_values <- c(precision_values, mean(sapply(results, function(x) x$precision), na.rm = TRUE))
    recall_values <- c(recall_values, mean(sapply(results, function(x) x$recall), na.rm = TRUE))
    f1_values <- c(f1_values, mean(sapply(results, function(x) x$f1_score), na.rm = TRUE))
    auc_values <- c(auc_values, mean(sapply(results, function(x) x$auc), na.rm = TRUE))
  }
  
  comparison <- data.frame(
    Model = models_to_compare,
    Accuracy = accuracy_values,
    Precision = precision_values,
    Recall = recall_values,
    F1_Score = f1_values,
    AUC = auc_values
  )
  
  cat("\n======== MODEL COMPARISON ========\n")
  print(comparison)
} else {
  cat("\nNo successful LASSO model fits to report\n")
}

Link to conversation with Claude AI, that assisted us in building and debugging the code for this project: https://claude.ai/share/4e49ce8d-b92e-4672-96a1-979c87d995fe https://claude.ai/share/c26b155b-ddd6-4916-bea2-add1a3e2bc6d https://claude.ai/share/c71010bc-bd5d-4ebd-8b91-e1b6316d4fe4